diff --git a/lib/node_modules/@stdlib/lapack/base/zlacpy/docs/repl.txt b/lib/node_modules/@stdlib/lapack/base/zlacpy/docs/repl.txt index 131b8e15583b..993531f42e5d 100644 --- a/lib/node_modules/@stdlib/lapack/base/zlacpy/docs/repl.txt +++ b/lib/node_modules/@stdlib/lapack/base/zlacpy/docs/repl.txt @@ -47,11 +47,8 @@ > var A = new {{alias:@stdlib/array/complex128}}( abuf ); > var B = new {{alias:@stdlib/array/complex128}}( bbuf ); > {{alias}}( 'row-major', 'all', 2, 2, A, 2, B, 2 ); - > var z = B.get( 0 ); - > {{alias:@stdlib/complex/float64/real}}( z ) - 1.0 - > {{alias:@stdlib/complex/float64/imag}}( z ) - 2.0 + > B + [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] {{alias}}.ndarray( uplo, M, N, A, sa1, sa2, oa, B, sb1, sb2, ob ) @@ -106,15 +103,12 @@ Examples -------- > var abuf = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ]; - > var bbuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ]; + > var bbuf = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ]; > var A = new {{alias:@stdlib/array/complex128}}( abuf ); > var B = new {{alias:@stdlib/array/complex128}}( bbuf ); - > {{alias}}.ndarray( 'all', 2, 2, A, 2, 1, 1, B, 2, 1, 2 ); - > var z = B.get( 2 ); - > {{alias:@stdlib/complex/float64/real}}( z ) - 3.0 - > {{alias:@stdlib/complex/float64/imag}}( z ) - 4.0 + > {{alias}}.ndarray( 'all', 2, 2, A, 2, 1, 1, B, 2, 1, 0 ); + > B + [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] See Also -------- diff --git a/lib/node_modules/@stdlib/stats/base/dists/gumbel/logpdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/gumbel/logpdf/README.md index c563d0caee12..1890500d4177 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/gumbel/logpdf/README.md +++ b/lib/node_modules/@stdlib/stats/base/dists/gumbel/logpdf/README.md @@ -170,7 +170,7 @@ logEachMap( 'x: %0.4f, µ: %0.4f, β: %0.4f, ln(f(x;µ,β)): %0.4f', x, mu, beta #include "stdlib/stats/base/dists/gumbel/logpdf.h" ``` -#### stdlib_base_dists_gumbel_logcdf( x, mu, beta ) +#### stdlib_base_dists_gumbel_logpdf( x, mu, beta ) Evaluates the logarithm of the [probability density function][pdf] (PDF) for a [Gumbel][gumbel-distribution] distribution with parameters `mu` (location parameter) and `beta > 0` (scale parameter).