fix more numpy dtypes (hpc4cmb#672)

* replace np.int by np.int64

* replace np.float by np.float64

* replace np.complex by np.complex128

Author: ickc

pipelines/toast_cov_invert.py

@@ -62,7 +62,7 @@ def main():
         "--threshold",
         required=False,
         default=1e-3,
-        type=np.float,
+        type=np.float64,
         help="Reciprocal condition number threshold",
     )
 

pipelines/toast_fake_focalplane.py

@@ -128,7 +128,7 @@ def main():
     parser.add_argument(
         "--random_seed",
         required=False,
-        type=np.int,
+        type=np.int64,
         default=123456,
         help="Random number generator seed for randomized " "detector parameters",
     )

pipelines/toast_ground_sim.py

@@ -15,7 +15,7 @@
     import numpy as np
     import time
 
-    delay = np.float(os.environ["TOAST_STARTUP_DELAY"])
+    delay = np.float64(os.environ["TOAST_STARTUP_DELAY"])
     wait = np.random.rand() * delay
     # print('Sleeping for {} seconds before importing TOAST'.format(wait),
     #      flush=True)

pipelines/toast_map.py

@@ -79,7 +79,7 @@ def main():
         "--samplerate",
         required=False,
         default=100.0,
-        type=np.float,
+        type=np.float64,
         help="Detector sample rate (Hz)",
     )
 

src/toast/fod/noise_estimation.py

@@ -162,9 +162,9 @@ def exec(self, data):
             # Extend the gap between intervals to prevent sample pairs
             # that cross the gap.
 
-            gap_min = np.int(self._lagmax) + 1
+            gap_min = np.int64(self._lagmax) + 1
             # Downsampled data requires longer gaps
-            gap_min_nsum = np.int(self._lagmax * self._nsum) + 1
+            gap_min_nsum = np.int64(self._lagmax * self._nsum) + 1
             offset, nsamp = tod.local_samples
             gapflags = np.zeros_like(commonflags)
             gapflags_nsum = np.zeros_like(commonflags)

src/toast/fod/psd_math.py

@@ -135,7 +135,7 @@ def crosscov_psd(
     # for the unflagged samples
     naverage = lagmax
 
-    nreal = np.int(np.ceil((time_stop - time_start) / stationary_period))
+    nreal = np.int64(np.ceil((time_stop - time_start) / stationary_period))
 
     # Communicate lagmax samples from the beginning of the array
     # backwards in the MPI communicator
@@ -222,7 +222,7 @@ def crosscov_psd(
     # Collect the estimated covariance functions
 
     my_covs = {}
-    nreal_task = np.int(np.ceil(nreal / ntask))
+    nreal_task = np.int64(np.ceil(nreal / ntask))
 
     if comm is None:
         for ireal in range(nreal):

src/toast/pipeline_tools/__init__.py

@@ -65,14 +65,14 @@ def add_mc_args(parser):
         "--MC-start",
         required=False,
         default=0,
-        type=np.int,
+        type=np.int64,
         help="First Monte Carlo noise realization",
     )
     parser.add_argument(
         "--MC-count",
         required=False,
         default=1,
-        type=np.int,
+        type=np.int64,
         help="Number of Monte Carlo noise realizations",
     )
     return

src/toast/pipeline_tools/atm.py

@@ -78,134 +78,134 @@ def add_atmosphere_args(parser):
     parser.add_argument(
         "--focalplane-radius-deg",
         required=False,
-        type=np.float,
+        type=np.float64,
         help="Override focal plane radius [deg]",
     )
 
     parser.add_argument(
         "--atm-verbosity",
         required=False,
         default=0,
-        type=np.int,
+        type=np.int64,
         help="Atmospheric sim verbosity level",
     )
     parser.add_argument(
         "--atm-lmin-center",
         required=False,
         default=0.01,
-        type=np.float,
+        type=np.float64,
         help="Kolmogorov turbulence dissipation scale center",
     )
     parser.add_argument(
         "--atm-lmin-sigma",
         required=False,
         default=0.001,
-        type=np.float,
+        type=np.float64,
         help="Kolmogorov turbulence dissipation scale sigma",
     )
     parser.add_argument(
         "--atm-lmax-center",
         required=False,
         default=10.0,
-        type=np.float,
+        type=np.float64,
         help="Kolmogorov turbulence injection scale center",
     )
     parser.add_argument(
         "--atm-lmax-sigma",
         required=False,
         default=10.0,
-        type=np.float,
+        type=np.float64,
         help="Kolmogorov turbulence injection scale sigma",
     )
     parser.add_argument(
         "--atm-gain",
         required=False,
         default=2e-5,
-        type=np.float,
+        type=np.float64,
         help="Atmospheric gain factor.",
     )
     parser.add_argument(
         "--atm-gain-coarse",
         required=False,
         default=8e-5,
-        type=np.float,
+        type=np.float64,
         help="Coarse atmospheric gain factor.",
     )
     parser.add_argument(
         "--atm-zatm",
         required=False,
         default=40000.0,
-        type=np.float,
+        type=np.float64,
         help="atmosphere extent for temperature profile",
     )
     parser.add_argument(
         "--atm-zmax",
         required=False,
         default=200.0,
-        type=np.float,
+        type=np.float64,
         help="atmosphere extent for water vapor integration",
     )
     parser.add_argument(
         "--atm-xstep",
         required=False,
         default=10.0,
-        type=np.float,
+        type=np.float64,
         help="size of volume elements in X direction",
     )
     parser.add_argument(
         "--atm-ystep",
         required=False,
         default=10.0,
-        type=np.float,
+        type=np.float64,
         help="size of volume elements in Y direction",
     )
     parser.add_argument(
         "--atm-zstep",
         required=False,
         default=10.0,
-        type=np.float,
+        type=np.float64,
         help="size of volume elements in Z direction",
     )
     parser.add_argument(
         "--atm-nelem-sim-max",
         required=False,
         default=10000,
-        type=np.int,
+        type=np.int64,
         help="controls the size of the simulation slices",
     )
     parser.add_argument(
         "--atm-wind-dist",
         required=False,
         default=3000.0,
-        type=np.float,
+        type=np.float64,
         help="Maximum wind drift to simulate without discontinuity",
     )
     parser.add_argument(
         "--atm-z0-center",
         required=False,
         default=2000.0,
-        type=np.float,
+        type=np.float64,
         help="central value of the water vapor distribution",
     )
     parser.add_argument(
         "--atm-z0-sigma",
         required=False,
         default=0.0,
-        type=np.float,
+        type=np.float64,
         help="sigma of the water vapor distribution",
     )
     parser.add_argument(
         "--atm-T0-center",
         required=False,
         default=280.0,
-        type=np.float,
+        type=np.float64,
         help="central value of the temperature distribution",
     )
     parser.add_argument(
         "--atm-T0-sigma",
         required=False,
         default=10.0,
-        type=np.float,
+        type=np.float64,
         help="sigma of the temperature distribution",
     )
     parser.add_argument(
@@ -223,31 +223,31 @@ def add_atmosphere_args(parser):
     parser.add_argument(
         "--weather-pwv",
         required=False,
-        type=np.float,
+        type=np.float64,
         help="Override randomized PWV [mm]",
     )
     parser.add_argument(
         "--weather-temperature",
         required=False,
-        type=np.float,
+        type=np.float64,
         help="Override randomized air temperature [K]",
     )
     parser.add_argument(
         "--weather-pressure",
         required=False,
-        type=np.float,
+        type=np.float64,
         help="Override randomized surface pressure [Pa]",
     )
     parser.add_argument(
         "--weather-west-wind",
         required=False,
-        type=np.float,
+        type=np.float64,
         help="Override randomized West wind [m/s]",
     )
     parser.add_argument(
         "--weather-south-wind",
         required=False,
-        type=np.float,
+        type=np.float64,
         help="Override randomized South wind [m/s]",
     )
     # Common flag mask may already be added

src/toast/pipeline_tools/binning.py

@@ -94,7 +94,7 @@ def add_binner_args(parser):
     # `nside` may already be added
     try:
         parser.add_argument(
-            "--nside", required=False, default=512, type=np.int, help="Healpix NSIDE"
+            "--nside", required=False, default=512, type=np.int64, help="Healpix NSIDE"
         )
     except argparse.ArgumentError:
         pass

src/toast/pipeline_tools/dist.py

@@ -17,7 +17,7 @@ def add_dist_args(parser):
     parser.add_argument(
         "--group-size",
         required=False,
-        type=np.int,
+        type=np.int64,
         help="Size of a process group assigned to an observation",
     )
     try: