Auto-generated commit

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2024-11-20)
+## Unreleased (2024-11-24)
 
 <section class="features">
 
@@ -33,6 +33,7 @@
 
 <details>
 
+-   [`136231d`](https://github.com/stdlib-js/stdlib/commit/136231d9a98f773662721f5f292cf50220deafc5) - **docs:** update REPL namespace documentation [(#3244)](https://github.com/stdlib-js/stdlib/pull/3244) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`4b1d77d`](https://github.com/stdlib-js/stdlib/commit/4b1d77d2bd001d5970ce93230765a579fb41349d) - **docs:** update REPL namespace documentation [(#3191)](https://github.com/stdlib-js/stdlib/pull/3191) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`254fa9e`](https://github.com/stdlib-js/stdlib/commit/254fa9ec906b3a6c62551e13bd0aeef1c1f29af8) - **feat:** add `Float64ArrayLE`, `Float32ArrayLE`, `Float64ArrayFE`, and `Float32ArrayFE` to namespace _(by Athan Reines)_
 -   [`a215aba`](https://github.com/stdlib-js/stdlib/commit/a215aba7a01decc26f4d2ea7b7046dafc69ea96b) - **feat:** add `isndarrayLikeWithDataType` to namespace _(by Athan Reines)_

CONTRIBUTORS

@@ -83,6 +83,7 @@ Roman Stetsyk <[email protected]>
 Rutam <[email protected]>
 Ruthwik Chikoti <[email protected]>
 Ryan Seal <[email protected]>
+Rylan Yang <[email protected]>
 Sai Srikar Dumpeti <[email protected]>
 SarthakPaandey <[email protected]>
 Saurabh Singh <[email protected]>

data/data.csv

@@ -1866,8 +1866,8 @@ base.strided.dnansumkbn2,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\n
 base.strided.dnansumkbn2.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnansumkbn2.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dnansumkbn2.ndarray( 4, x, 2, 1 )\n"
 base.strided.dnansumors,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnansumors( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dnansumors( 4, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dnansumors( 4, x1, 2 )\n"
 base.strided.dnansumors.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnansumors.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dnansumors.ndarray( 4, x, 2, 1 )\n"
-base.strided.dnansumpw,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnansumpw( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.dnansumpw( N, x, stride )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nstride = 2;\nbase.strided.dnansumpw( N, x1, stride )\n"
-base.strided.dnansumpw.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnansumpw.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnansumpw.ndarray( N, x, 2, 1 )\n"
+base.strided.dnansumpw,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnansumpw( x.length, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dnansumpw( 4, x, 2 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dnansumpw( 4, x1, 2 )\n"
+base.strided.dnansumpw.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnansumpw.ndarray( x.length, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dnansumpw.ndarray( 4, x, 2, 1 )\n"
 base.strided.dnanvariance,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariance( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.dnanvariance( N, 1, x, stride )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nstride = 2;\nbase.strided.dnanvariance( N, 1, x1, stride )\n"
 base.strided.dnanvariance.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariance.ndarray( x.length, 1, x, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnanvariance.ndarray( N, 1, x, 2, 1 )\n"
 base.strided.dnanvariancech,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dnanvariancech( x.length, 1, x, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );\nvar N = base.floor( x.length / 2 );\nvar stride = 2;\nbase.strided.dnanvariancech( N, 1, x, stride )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nstride = 2;\nbase.strided.dnanvariancech( N, 1, x1, stride )\n"