Auto-generated commit

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2024-11-24)
+## Unreleased (2024-11-25)
 
 <section class="features">
 
@@ -33,6 +33,7 @@
 
 <details>
 
+-   [`c314fa2`](https://github.com/stdlib-js/stdlib/commit/c314fa2199b8bd2deaac417184a363e5272767a5) - **docs:** update REPL namespace documentation [(#3260)](https://github.com/stdlib-js/stdlib/pull/3260) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`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)_

CONTRIBUTORS

@@ -3,6 +3,7 @@
 # Contributors listed in alphabetical order.
 
 Aayush Khanna <[email protected]>
+Abhijit <[email protected]>
 AbhijitRaut04 <[email protected]>
 Adarsh Palaskar <[email protected]>
 Aditya Sapra <[email protected]>
@@ -107,6 +108,7 @@ Utkarsh Raj <[email protected]>
 UtkershBasnet <[email protected]>
 Vaibhav Patel <[email protected]>
 Varad Gupta <[email protected]>
+Vinit Pandit <[email protected]>
 Xiaochuan Ye <[email protected]>
 Yernar Yergaziyev <[email protected]>
 naveen <[email protected]>

data/data.csv

@@ -1932,8 +1932,8 @@ base.strided.dsnannsumors,"var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\
 base.strided.dsnannsumors.ndarray,"var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dsnannsumors.ndarray( x.length, x, 1, 0, out, 1, 0 )\nvar x = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nout = new Float64Array( 2 );\nbase.strided.dsnannsumors.ndarray( 4, x, 2, 1, out, 1, 0 )\n"
 base.strided.dsnansum,"var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dsnansum( x.length, x, 1 )\nx = new Float32Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dsnansum( 4, x, 2 )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dsnansum( 4, x1, 2 )\n"
 base.strided.dsnansum.ndarray,"var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dsnansum.ndarray( x.length, x, 1, 0 )\nx = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );\nbase.strided.dsnansum.ndarray( 3, x, 2, 1 )\n"
-base.strided.dsnansumors,"var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dsnansumors( x.length, x, 1 )\nx = new Float32Array( [ -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.dsnansumors( N, x, stride )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nstride = 2;\nbase.strided.dsnansumors( N, x1, stride )\n"
-base.strided.dsnansumors.ndarray,"var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dsnansumors.ndarray( x.length, x, 1, 0 )\nvar x = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dsnansumors.ndarray( N, x, 2, 1 )\n"
+base.strided.dsnansumors,"var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dsnansumors( x.length, x, 1 )\nx = new Float32Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dsnansumors( 4, x, 2 )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dsnansumors( 4, x1, 2 )\n"
+base.strided.dsnansumors.ndarray,"var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dsnansumors.ndarray( x.length, x, 1, 0 )\nvar x = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dsnansumors.ndarray( 4, x, 2, 1 )\n"
 base.strided.dsnansumpw,"var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dsnansumpw( x.length, x, 1 )\nx = new Float32Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nbase.strided.dsnansumpw( 4, x, 2 )\nvar x0 = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nbase.strided.dsnansumpw( 4, x1, 2 )\n"
 base.strided.dsnansumpw.ndarray,"var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );\nbase.strided.dsnansumpw.ndarray( x.length, x, 1, 0 )\nvar x = new Float32Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN, NaN ] );\nbase.strided.dsnansumpw.ndarray( 4, x, 2, 1 )\n"
 base.strided.dsort2hp,"var x = new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] );\nvar y = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] );\nbase.strided.dsort2hp( x.length, 1, x, 1, y, 1 )\ny\nx = new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] );\ny = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dsort2hp( N, -1, x, 2, y, 2 )\ny\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nvar y0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] );\nvar y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nbase.strided.dsort2hp( N, 1, x1, 2, y1, 2 )\nx0\ny0\n"