Auto-generated commit

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2024-11-27)
+## Unreleased (2024-11-28)
 
 <section class="features">
 
@@ -31,6 +31,7 @@
 
 <details>
 
+-   [`904955f`](https://github.com/stdlib-js/stdlib/commit/904955fccc1822538bae36c7923b67552109434e) - **docs:** update REPL namespace documentation [(#3289)](https://github.com/stdlib-js/stdlib/pull/3289) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`9a17ee3`](https://github.com/stdlib-js/stdlib/commit/9a17ee335a8976668e06b0a41f4b19cb52380b5b) - **docs:** update REPL namespace documentation [(#3276)](https://github.com/stdlib-js/stdlib/pull/3276) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`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)_

CONTRIBUTORS

@@ -48,6 +48,7 @@ Karthik Prakash <[email protected]>
 Khaldon <[email protected]>
 Kohantika Nath <[email protected]>
 Krishnendu Das <[email protected]>
+Kshitij-Dale <[email protected]>
 Lovelin <[email protected]>
 Manik Sharma <[email protected]>
 Marcus Fantham <[email protected]>

data/data.csv

@@ -1930,8 +1930,8 @@ base.strided.dsnanmeanwd,"\nbase.strided.dsnanmeanwd( N:integer, x:Float32Array,
 base.strided.dsnanmeanwd.ndarray,"\nbase.strided.dsnanmeanwd.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a single-precision floating-point strided\n    array, ignoring `NaN` values and using Welford's algorithm with extended\n    accumulation and alternative indexing semantics.\n"
 base.strided.dsnannsumors,"\nbase.strided.dsnannsumors( N:integer, x:Float32Array, strideX:integer, \n  out:Float64Array, strideOut:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using ordinary recursive summation with extended\n    accumulation, and returning an extended precision result.\n"
 base.strided.dsnannsumors.ndarray,"\nbase.strided.dsnannsumors.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer, out:Float64Array, strideOut:integer, offsetOut:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using ordinary recursive summation with extended\n    accumulation and alternative indexing semantics, and returning an extended\n    precision result.\n"
-base.strided.dsnansum,"\nbase.strided.dsnansum( N:integer, x:Float32Array, stride:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using extended accumulation, and returning an\n    extended precision result.\n"
-base.strided.dsnansum.ndarray,"\nbase.strided.dsnansum.ndarray( N:integer, x:Float32Array, stride:integer, \n  offset:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values and using extended accumulation and alternative\n    indexing semantics.\n"
+base.strided.dsnansum,"\nbase.strided.dsnansum( N:integer, x:Float32Array, strideX:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using extended accumulation, and returning an\n    extended precision result.\n"
+base.strided.dsnansum.ndarray,"\nbase.strided.dsnansum.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using extended accumulation and alternative\n    indexing semantics, and returning an extended precision result.\n"
 base.strided.dsnansumors,"\nbase.strided.dsnansumors( N:integer, x:Float32Array, strideX:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using ordinary recursive summation with extended\n    accumulation, and returning an extended precision result.\n"
 base.strided.dsnansumors.ndarray,"\nbase.strided.dsnansumors.ndarray( N:integer, x:Float32Array, strideX:integer, \n  offsetX:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values and using ordinary recursive summation with extended\n    accumulation and alternative indexing semantics, and returning an extended\n    precision result.\n"
 base.strided.dsnansumpw,"\nbase.strided.dsnansumpw( N:integer, x:Float32Array, strideX:integer )\n    Computes the sum of single-precision floating-point strided array elements,\n    ignoring `NaN` values, using pairwise summation with extended accumulation,\n    and returning an extended precision result.\n"