Auto-generated commit

Author: stdlib-bot

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-06-22)
+## Unreleased (2025-06-23)
 
 <section class="features">
 
@@ -56,6 +56,7 @@ A total of 2 issues were closed in this release:
 
 <details>
 
+-   [`28f9979`](https://github.com/stdlib-js/stdlib/commit/28f99791e07b4d5bc48b1d6ca42662208211cd8b) - **docs:** update REPL namespace documentation [(#7457)](https://github.com/stdlib-js/stdlib/pull/7457) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`0902a5b`](https://github.com/stdlib-js/stdlib/commit/0902a5b8ec9f8209d253e5fff7c0a73ec082cee7) - **docs:** update REPL namespace documentation [(#7444)](https://github.com/stdlib-js/stdlib/pull/7444) _(by stdlib-bot)_
 -   [`05e4da8`](https://github.com/stdlib-js/stdlib/commit/05e4da8247ce01c4b57c33b841094659f6823e36) - **docs:** update REPL namespace documentation [(#7432)](https://github.com/stdlib-js/stdlib/pull/7432) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`b8b6f36`](https://github.com/stdlib-js/stdlib/commit/b8b6f36d988505654d4e9fcd465375e77d5fe0fb) - **docs:** update REPL namespace documentation [(#7406)](https://github.com/stdlib-js/stdlib/pull/7406) _(by stdlib-bot, Philipp Burckhardt)_

CONTRIBUTORS

@@ -37,6 +37,7 @@ Bryan Elee <rxbryn@gmail.com>
 Chinmay Joshi <86140365+JawHawk@users.noreply.github.com>
 Christopher Dambamuromo <chridam@gmail.com>
 Dan Rose <danoftheroses@gmail.com>
+Daniel Hernandez Gomez <156333015+dhernandeez13@users.noreply.github.com>
 Daniel Killenberger <daniel.killenberger@gmail.com>
 Daniel Yu <40680511+Daniel777y@users.noreply.github.com>
 Debashis Maharana <debashismaharana7854@gmail.com>
@@ -63,6 +64,7 @@ Girish Garg <garggirish2020@gmail.com>
 Golden Kumar <103646877+AuenKr@users.noreply.github.com>
 Gunj Joshi <gunjjoshi8372@gmail.com>
 Gururaj Gurram <gururajgurram1512@gmail.com>
+Harishchandra Reddy <harish.7000@gmail.com>
 Haroon Rasheed <51189276+haroon26@users.noreply.github.com>
 Harsh <harshyadav6078@gmail.com>
 HarshaNP <96897754+GittyHarsha@users.noreply.github.com>
@@ -201,6 +203,7 @@ ditsu <170345142+ditsus@users.noreply.github.com>
 ekambains <bainsinbusiness@gmail.com>
 fadiothman22 <48636283+fadiothman22@users.noreply.github.com>
 iraandrushko <71790513+iraandrushko@users.noreply.github.com>
+jsai28 <54253219+jsai28@users.noreply.github.com>
 lohithganni <116790357+lohithganni@users.noreply.github.com>
 olenkabilonizhka <62379231+olenkabilonizhka@users.noreply.github.com>
 pranav-1720 <123018993+pranav-1720@users.noreply.github.com>

code-blocks/data/data.csv

@@ -2153,12 +2153,12 @@ base.strided.nanmaxBy,"\nbase.strided.nanmaxBy( N:integer, x:Array|TypedArray|Ob
 base.strided.nanmaxBy.ndarray,"\nbase.strided.nanmaxBy.ndarray( N:integer, x:Array|TypedArray|Object, \n  strideX:integer, offsetX:integer, clbk:Function[, thisArg:any] )\n    Computes the maximum value of a strided array via a callback function,\n    ignoring `NaN` values and using alternative indexing semantics.\n"
 base.strided.nanmean,"\nbase.strided.nanmean( N:integer, x:Array|TypedArray, strideX:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values.\n"
 base.strided.nanmean.ndarray,"\nbase.strided.nanmean.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n  offsetX:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n    using alternative indexing semantics.\n"
-base.strided.nanmeanors,"\nbase.strided.nanmeanors( N:integer, x:Array|TypedArray, stride:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n    using ordinary recursive summation.\n"
-base.strided.nanmeanors.ndarray,"\nbase.strided.nanmeanors.ndarray( N:integer, x:Array|TypedArray, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n    using ordinary recursive summation and alternative indexing semantics.\n"
+base.strided.nanmeanors,"\nbase.strided.nanmeanors( N:integer, x:Array|TypedArray, strideX:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n    using ordinary recursive summation.\n"
+base.strided.nanmeanors.ndarray,"\nbase.strided.nanmeanors.ndarray( N:integer, x:Array|TypedArray, \n  strideX:integer, offsetX:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n    using ordinary recursive summation and alternative indexing semantics.\n"
 base.strided.nanmeanpn,"\nbase.strided.nanmeanpn( N:integer, x:Array|TypedArray, strideX:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n    using a two-pass error correction algorithm.\n"
 base.strided.nanmeanpn.ndarray,"\nbase.strided.nanmeanpn.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n  offsetX:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n    using a two-pass error correction algorithm and alternative indexing\n    semantics.\n"
-base.strided.nanmeanwd,"\nbase.strided.nanmeanwd( N:integer, x:Array|TypedArray, stride:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n    using Welford's algorithm.\n"
-base.strided.nanmeanwd.ndarray,"\nbase.strided.nanmeanwd.ndarray( N:integer, x:Array|TypedArray, stride:integer, \n  offset:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n    using Welford's algorithm and alternative indexing semantics.\n"
+base.strided.nanmeanwd,"\nbase.strided.nanmeanwd( N:integer, x:Array|TypedArray, strideX:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n    using Welford's algorithm.\n"
+base.strided.nanmeanwd.ndarray,"\nbase.strided.nanmeanwd.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n  offsetX:integer )\n    Computes the arithmetic mean of a strided array, ignoring `NaN` values and\n    using Welford's algorithm and alternative indexing semantics.\n"
 base.strided.nanmin,"\nbase.strided.nanmin( N:integer, x:Array|TypedArray, strideX:integer )\n    Computes the minimum value of a strided array, ignoring `NaN` values.\n"
 base.strided.nanmin.ndarray,"\nbase.strided.nanmin.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n  offsetX:integer )\n    Computes the minimum value of a strided array, ignoring `NaN` values and\n    using alternative indexing semantics.\n"
 base.strided.nanminabs,"\nbase.strided.nanminabs( N:integer, x:Array|TypedArray, strideX:integer )\n    Computes the minimum absolute value of a strided array, ignoring `NaN`\n    values.\n"
@@ -2175,24 +2175,24 @@ base.strided.nanrange,"\nbase.strided.nanrange( N:integer, x:Array|TypedArray, s
 base.strided.nanrange.ndarray,"\nbase.strided.nanrange.ndarray( N:integer, x:Array|TypedArray, strideX:integer, \n  offsetX:integer )\n    Computes the range of a strided array, ignoring `NaN` values and using\n    alternative indexing semantics.\n"
 base.strided.nanrangeBy,"\nbase.strided.nanrangeBy( N:integer, x:Array|TypedArray|Object, stride:integer, \n  clbk:Function[, thisArg:any] )\n    Calculates the range of a strided array via a callback function, ignoring\n    `NaN` values.\n"
 base.strided.nanrangeBy.ndarray,"\nbase.strided.nanrangeBy.ndarray( N:integer, x:Array|TypedArray|Object, \n  stride:integer, offset:integer, clbk:Function[, thisArg:any] )\n    Calculates the range of a strided array via a callback function, ignoring\n    `NaN` values and using alternative indexing semantics.\n"
-base.strided.nanstdev,"\nbase.strided.nanstdev( N:integer, correction:number, x:Array|TypedArray, \n  stride:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values.\n"
-base.strided.nanstdev.ndarray,"\nbase.strided.nanstdev.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, stride:integer, offset:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using alternative indexing semantics.\n"
+base.strided.nanstdev,"\nbase.strided.nanstdev( N:integer, correction:number, x:Array|TypedArray, \n  strideX:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values.\n"
+base.strided.nanstdev.ndarray,"\nbase.strided.nanstdev.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, strideX:integer, offsetX:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using alternative indexing semantics.\n"
 base.strided.nanstdevch,"\nbase.strided.nanstdevch( N:integer, correction:number, x:Array|TypedArray, \n  stride:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a one-pass trial mean algorithm.\n"
 base.strided.nanstdevch.ndarray,"\nbase.strided.nanstdevch.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, stride:integer, offset:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a one-pass trial mean algorithm and alternative indexing semantics.\n"
-base.strided.nanstdevpn,"\nbase.strided.nanstdevpn( N:integer, correction:number, x:Array|TypedArray, \n  stride:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a two-pass algorithm.\n"
-base.strided.nanstdevpn.ndarray,"\nbase.strided.nanstdevpn.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, stride:integer, offset:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a two-pass algorithm and alternative indexing semantics.\n"
+base.strided.nanstdevpn,"\nbase.strided.nanstdevpn( N:integer, correction:number, x:Array|TypedArray, \n  strideX:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a two-pass algorithm.\n"
+base.strided.nanstdevpn.ndarray,"\nbase.strided.nanstdevpn.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, strideX:integer, offsetX:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a two-pass algorithm and alternative indexing semantics.\n"
 base.strided.nanstdevtk,"\nbase.strided.nanstdevtk( N:integer, correction:number, x:Array|TypedArray, \n  stride:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a one-pass textbook algorithm.\n"
 base.strided.nanstdevtk.ndarray,"\nbase.strided.nanstdevtk.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, stride:integer, offset:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a one-pass textbook algorithm and alternative indexing semantics.\n"
 base.strided.nanstdevwd,"\nbase.strided.nanstdevwd( N:integer, correction:number, x:Array|TypedArray, \n  stride:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using Welford's algorithm.\n"
 base.strided.nanstdevwd.ndarray,"\nbase.strided.nanstdevwd.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, stride:integer, offset:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using Welford's algorithm and alternative indexing semantics.\n"
-base.strided.nanstdevyc,"\nbase.strided.nanstdevyc( N:integer, correction:number, x:Array|TypedArray, \n  stride:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a one-pass algorithm proposed by Youngs and Cramer.\n"
-base.strided.nanstdevyc.ndarray,"\nbase.strided.nanstdevyc.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, stride:integer, offset:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a one-pass algorithm proposed by Youngs and Cramer and alternative\n    indexing semantics.\n"
-base.strided.nanvariance,"\nbase.strided.nanvariance( N:integer, correction:number, x:Array|TypedArray, \n  stride:integer )\n    Computes the variance of a strided array ignoring `NaN` values.\n"
-base.strided.nanvariance.ndarray,"\nbase.strided.nanvariance.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, stride:integer, offset:integer )\n    Computes the variance of a strided array ignoring `NaN` values and using\n    alternative indexing semantics.\n"
+base.strided.nanstdevyc,"\nbase.strided.nanstdevyc( N:integer, correction:number, x:Array|TypedArray, \n  strideX:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a one-pass algorithm proposed by Youngs and Cramer.\n"
+base.strided.nanstdevyc.ndarray,"\nbase.strided.nanstdevyc.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, strideX:integer, offsetX:integer )\n    Computes the standard deviation of a strided array ignoring `NaN` values and\n    using a one-pass algorithm proposed by Youngs and Cramer and alternative\n    indexing semantics.\n"
+base.strided.nanvariance,"\nbase.strided.nanvariance( N:integer, correction:number, x:Array|TypedArray, \n  strideX:integer )\n    Computes the variance of a strided array ignoring `NaN` values.\n"
+base.strided.nanvariance.ndarray,"\nbase.strided.nanvariance.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, strideX:integer, offsetX:integer )\n    Computes the variance of a strided array ignoring `NaN` values and using\n    alternative indexing semantics.\n"
 base.strided.nanvariancech,"\nbase.strided.nanvariancech( N:integer, correction:number, x:Array|TypedArray, \n  strideX:integer )\n    Computes the variance of a strided array ignoring `NaN` values and using a\n    one-pass trial mean algorithm.\n"
 base.strided.nanvariancech.ndarray,"\nbase.strided.nanvariancech.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, strideX:integer, offsetX:integer )\n    Computes the variance of a strided array ignoring `NaN` values and using a\n    one-pass trial mean algorithm and alternative indexing semantics.\n"
-base.strided.nanvariancepn,"\nbase.strided.nanvariancepn( N:integer, correction:number, x:Array|TypedArray, \n  stride:integer )\n    Computes the variance of a strided array ignoring `NaN` values and using a\n    two-pass algorithm.\n"
-base.strided.nanvariancepn.ndarray,"\nbase.strided.nanvariancepn.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, stride:integer, offset:integer )\n    Computes the variance of a strided array ignoring `NaN` values and using a\n    two-pass algorithm and alternative indexing semantics.\n"
+base.strided.nanvariancepn,"\nbase.strided.nanvariancepn( N:integer, correction:number, x:Array|TypedArray, \n  strideX:integer )\n    Computes the variance of a strided array ignoring `NaN` values and using a\n    two-pass algorithm.\n"
+base.strided.nanvariancepn.ndarray,"\nbase.strided.nanvariancepn.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, strideX:integer, offsetX:integer )\n    Computes the variance of a strided array ignoring `NaN` values and using a\n    two-pass algorithm and alternative indexing semantics.\n"
 base.strided.nanvariancetk,"\nbase.strided.nanvariancetk( N:integer, correction:number, x:Array|TypedArray, \n  strideX:integer )\n    Computes the variance of a strided array ignoring `NaN` values and using a\n    one-pass textbook algorithm.\n"
 base.strided.nanvariancetk.ndarray,"\nbase.strided.nanvariancetk.ndarray( N:integer, correction:number, \n  x:Array|TypedArray, strideX:integer, offsetX:integer )\n    Computes the variance of a strided array ignoring `NaN` values and using a\n    one-pass textbook algorithm and alternative indexing semantics.\n"
 base.strided.nanvariancewd,"\nbase.strided.nanvariancewd( N:integer, correction:number, x:Array|TypedArray, \n  strideX:integer )\n    Computes the variance of a strided array ignoring `NaN` values and using\n    Welford's algorithm.\n"