Auto-generated commit

Author: stdlib-bot

CHANGELOG.md

@@ -10,7 +10,6 @@
 
 ### Features
 
--   [`b117c97`](https://github.com/stdlib-js/stdlib/commit/b117c97db1b322d6d347c1bb0c7f18edf6963dfa) - update `blas/ext/base/ndarray` TypeScript declarations [(#11321)](https://github.com/stdlib-js/stdlib/pull/11321)
 -   [`5b0f76d`](https://github.com/stdlib-js/stdlib/commit/5b0f76d17b0ad323617cb7afbd89a3e81f7a2985) - add `goneTo` to namespace
 -   [`cf9c1fd`](https://github.com/stdlib-js/stdlib/commit/cf9c1fd10bbb26b8ffe798bef302240f93389953) - add `blas/ext/base/ndarray/gone-to` [(#11308)](https://github.com/stdlib-js/stdlib/pull/11308)
 -   [`31214ce`](https://github.com/stdlib-js/stdlib/commit/31214cef89dc16436602f8290be8717d30381fd5) - add `soneTo` to namespace
@@ -76,7 +75,6 @@
 
 <details>
 
--   [`b117c97`](https://github.com/stdlib-js/stdlib/commit/b117c97db1b322d6d347c1bb0c7f18edf6963dfa) - **feat:** update `blas/ext/base/ndarray` TypeScript declarations [(#11321)](https://github.com/stdlib-js/stdlib/pull/11321) _(by stdlib-bot)_
 -   [`bb0baff`](https://github.com/stdlib-js/stdlib/commit/bb0baff5acc1fbfa5f34b31045dde2ebd123c140) - **docs:** update namespace table of contents [(#11322)](https://github.com/stdlib-js/stdlib/pull/11322) _(by stdlib-bot)_
 -   [`5b0f76d`](https://github.com/stdlib-js/stdlib/commit/5b0f76d17b0ad323617cb7afbd89a3e81f7a2985) - **feat:** add `goneTo` to namespace _(by Athan Reines)_
 -   [`cf9c1fd`](https://github.com/stdlib-js/stdlib/commit/cf9c1fd10bbb26b8ffe798bef302240f93389953) - **feat:** add `blas/ext/base/ndarray/gone-to` [(#11308)](https://github.com/stdlib-js/stdlib/pull/11308) _(by Muhammad Haris)_

docs/types/index.d.ts

@@ -37,7 +37,6 @@ import dnansumkbn = require( '@stdlib/blas-ext-base-ndarray-dnansumkbn' );
 import dnansumkbn2 = require( '@stdlib/blas-ext-base-ndarray-dnansumkbn2' );
 import dnansumors = require( '@stdlib/blas-ext-base-ndarray-dnansumors' );
 import dnansumpw = require( '@stdlib/blas-ext-base-ndarray-dnansumpw' );
-import doneTo = require( '@stdlib/blas-ext-base-ndarray-done-to' );
 import dsorthp = require( '@stdlib/blas-ext-base-ndarray-dsorthp' );
 import dsortins = require( '@stdlib/blas-ext-base-ndarray-dsortins' );
 import dsortsh = require( '@stdlib/blas-ext-base-ndarray-dsortsh' );
@@ -86,7 +85,6 @@ import snansumkbn = require( '@stdlib/blas-ext-base-ndarray-snansumkbn' );
 import snansumkbn2 = require( '@stdlib/blas-ext-base-ndarray-snansumkbn2' );
 import snansumors = require( '@stdlib/blas-ext-base-ndarray-snansumors' );
 import snansumpw = require( '@stdlib/blas-ext-base-ndarray-snansumpw' );
-import soneTo = require( '@stdlib/blas-ext-base-ndarray-sone-to' );
 import ssorthp = require( '@stdlib/blas-ext-base-ndarray-ssorthp' );
 import ssum = require( '@stdlib/blas-ext-base-ndarray-ssum' );
 import ssumkbn = require( '@stdlib/blas-ext-base-ndarray-ssumkbn' );
@@ -502,25 +500,6 @@ interface Namespace {
 	*/
 	dnansumpw: typeof dnansumpw;
 
-	/**
-	* Fills a one-dimensional double-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from one.
-	*
-	* @param arrays - array-like object containing a one-dimensional input ndarray
-	* @returns input ndarray
-	*
-	* @example
-	* var Float64Array = require( '@stdlib/array-float64' );
-	* var ndarray = require( '@stdlib/ndarray-base-ctor' );
-	*
-	* var xbuf = new Float64Array( [ 0.0, 0.0, 0.0, 0.0 ] );
-	* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
-	* // returns <ndarray>[ 0.0, 0.0, 0.0, 0.0 ]
-	*
-	* var out = ns.doneTo( [ x ] );
-	* // returns <ndarray>[ 1.0, 2.0, 3.0, 4.0 ]
-	*/
-	doneTo: typeof doneTo;
-
 	/**
 	* Sorts a one-dimensional double-precision floating-point ndarray using heapsort.
 	*
@@ -1669,25 +1648,6 @@ interface Namespace {
 	*/
 	snansumpw: typeof snansumpw;
 
-	/**
-	* Fills a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from one.
-	*
-	* @param arrays - array-like object containing a one-dimensional input ndarray
-	* @returns input ndarray
-	*
-	* @example
-	* var Float32Array = require( '@stdlib/array-float32' );
-	* var ndarray = require( '@stdlib/ndarray-base-ctor' );
-	*
-	* var xbuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0 ] );
-	* var x = new ndarray( 'float32', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
-	* // returns <ndarray>[ 0.0, 0.0, 0.0, 0.0 ]
-	*
-	* var out = ns.soneTo( [ x ] );
-	* // returns <ndarray>[ 1.0, 2.0, 3.0, 4.0 ]
-	*/
-	soneTo: typeof soneTo;
-
 	/**
 	* Sorts a one-dimensional single-precision floating-point ndarray using heapsort.
 	*