Auto-generated commit

Author: stdlib-bot

CHANGELOG.md

@@ -10,7 +10,6 @@
 
 ### Features
 
--   [`1fbfb26`](https://github.com/stdlib-js/stdlib/commit/1fbfb26cfc749fe945b5f5063614591e3452efe5) - update `blas/ext/base/ndarray` TypeScript declarations [(#13099)](https://github.com/stdlib-js/stdlib/pull/13099)
 -   [`4f6e45f`](https://github.com/stdlib-js/stdlib/commit/4f6e45f22500f456a7fde5de9d84b7ec102e415f) - add `cxsy` and `zxsy` to namespace
 -   [`5d927bf`](https://github.com/stdlib-js/stdlib/commit/5d927bfdccbd24aa7e7632ba7a0c963b838f4306) - add `blas/ext/base/ndarray/zxsy` [(#13082)](https://github.com/stdlib-js/stdlib/pull/13082)
 -   [`51f525b`](https://github.com/stdlib-js/stdlib/commit/51f525b91f19d10d203efd2792e2c7f4327a66eb) - add `blas/ext/base/ndarray/cxsy` [(#13081)](https://github.com/stdlib-js/stdlib/pull/13081)
@@ -161,7 +160,6 @@
 
 <details>
 
--   [`1fbfb26`](https://github.com/stdlib-js/stdlib/commit/1fbfb26cfc749fe945b5f5063614591e3452efe5) - **feat:** update `blas/ext/base/ndarray` TypeScript declarations [(#13099)](https://github.com/stdlib-js/stdlib/pull/13099) _(by stdlib-bot)_
 -   [`d7a14c5`](https://github.com/stdlib-js/stdlib/commit/d7a14c565535f33ebb04986642388d5d81008271) - **docs:** update namespace table of contents [(#13102)](https://github.com/stdlib-js/stdlib/pull/13102) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`4f6e45f`](https://github.com/stdlib-js/stdlib/commit/4f6e45f22500f456a7fde5de9d84b7ec102e415f) - **feat:** add `cxsy` and `zxsy` to namespace _(by Athan Reines)_
 -   [`5d927bf`](https://github.com/stdlib-js/stdlib/commit/5d927bfdccbd24aa7e7632ba7a0c963b838f4306) - **feat:** add `blas/ext/base/ndarray/zxsy` [(#13082)](https://github.com/stdlib-js/stdlib/pull/13082) _(by Karan Anand)_

docs/types/index.d.ts

@@ -29,7 +29,6 @@ import csumkbn = require( '@stdlib/blas-ext-base-ndarray-csumkbn' );
 import cunitspace = require( '@stdlib/blas-ext-base-ndarray-cunitspace' );
 import cxpy = require( '@stdlib/blas-ext-base-ndarray-cxpy' );
 import cxsa = require( '@stdlib/blas-ext-base-ndarray-cxsa' );
-import cxsy = require( '@stdlib/blas-ext-base-ndarray-cxsy' );
 import czeroTo = require( '@stdlib/blas-ext-base-ndarray-czero-to' );
 import daxpb = require( '@stdlib/blas-ext-base-ndarray-daxpb' );
 import daxpby = require( '@stdlib/blas-ext-base-ndarray-daxpby' );
@@ -62,7 +61,6 @@ import dsumpw = require( '@stdlib/blas-ext-base-ndarray-dsumpw' );
 import dunitspace = require( '@stdlib/blas-ext-base-ndarray-dunitspace' );
 import dxpy = require( '@stdlib/blas-ext-base-ndarray-dxpy' );
 import dxsa = require( '@stdlib/blas-ext-base-ndarray-dxsa' );
-import dxsy = require( '@stdlib/blas-ext-base-ndarray-dxsy' );
 import dzeroTo = require( '@stdlib/blas-ext-base-ndarray-dzero-to' );
 import gaxpb = require( '@stdlib/blas-ext-base-ndarray-gaxpb' );
 import gaxpby = require( '@stdlib/blas-ext-base-ndarray-gaxpby' );
@@ -97,7 +95,6 @@ import gsumpw = require( '@stdlib/blas-ext-base-ndarray-gsumpw' );
 import gunitspace = require( '@stdlib/blas-ext-base-ndarray-gunitspace' );
 import gxpy = require( '@stdlib/blas-ext-base-ndarray-gxpy' );
 import gxsa = require( '@stdlib/blas-ext-base-ndarray-gxsa' );
-import gxsy = require( '@stdlib/blas-ext-base-ndarray-gxsy' );
 import gzeroTo = require( '@stdlib/blas-ext-base-ndarray-gzero-to' );
 import saxpb = require( '@stdlib/blas-ext-base-ndarray-saxpb' );
 import saxpby = require( '@stdlib/blas-ext-base-ndarray-saxpby' );
@@ -126,7 +123,6 @@ import ssumpw = require( '@stdlib/blas-ext-base-ndarray-ssumpw' );
 import sunitspace = require( '@stdlib/blas-ext-base-ndarray-sunitspace' );
 import sxpy = require( '@stdlib/blas-ext-base-ndarray-sxpy' );
 import sxsa = require( '@stdlib/blas-ext-base-ndarray-sxsa' );
-import sxsy = require( '@stdlib/blas-ext-base-ndarray-sxsy' );
 import szeroTo = require( '@stdlib/blas-ext-base-ndarray-szero-to' );
 import zaxpb = require( '@stdlib/blas-ext-base-ndarray-zaxpb' );
 import zaxpby = require( '@stdlib/blas-ext-base-ndarray-zaxpby' );
@@ -137,7 +133,6 @@ import zsumkbn = require( '@stdlib/blas-ext-base-ndarray-zsumkbn' );
 import zunitspace = require( '@stdlib/blas-ext-base-ndarray-zunitspace' );
 import zxpy = require( '@stdlib/blas-ext-base-ndarray-zxpy' );
 import zxsa = require( '@stdlib/blas-ext-base-ndarray-zxsa' );
-import zxsy = require( '@stdlib/blas-ext-base-ndarray-zxsy' );
 import zzeroTo = require( '@stdlib/blas-ext-base-ndarray-zzero-to' );
 
 /**
@@ -396,30 +391,6 @@ interface Namespace {
 	*/
 	cxsa: typeof cxsa;
 
-	/**
-	* Subtracts the elements of an output one-dimensional single-precision complex floating-point ndarray from the corresponding elements in an input one-dimensional single-precision complex floating-point ndarray and assigns the results to the output ndarray.
-	*
-	* ## Notes
-	*
-	* -   The function expects the following ndarrays:
-	*
-	*     -   a one-dimensional input ndarray.
-	*     -   a one-dimensional output ndarray.
-	*
-	* @param arrays - array-like object containing ndarrays
-	* @returns output ndarray
-	*
-	* @example
-	* var Complex64Vector = require( '@stdlib/ndarray-vector-complex64' );
-	*
-	* var x = new Complex64Vector( [ 1.0, 2.0, 3.0, -1.0, 0.0, 1.0 ] );
-	* var y = new Complex64Vector( [ 2.0, 1.0, -1.0, 3.0, 4.0, 0.0 ] );
-	*
-	* var out = ns.cxsy( [ x, y ] );
-	* // returns <ndarray>[ <Complex64>[ -1.0, 1.0 ], <Complex64>[ 4.0, -4.0 ], <Complex64>[ -4.0, 1.0 ] ]
-	*/
-	cxsy: typeof cxsy;
-
 	/**
 	* Fills a one-dimensional single-precision complex floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from zero.
 	*
@@ -1303,30 +1274,6 @@ interface Namespace {
 	*/
 	dxsa: typeof dxsa;
 
-	/**
-	* Subtracts the elements of an output one-dimensional double-precision floating-point ndarray from the corresponding elements in an input one-dimensional double-precision floating-point ndarray and assigns the results to the output ndarray.
-	*
-	* ## Notes
-	*
-	* -   The function expects the following ndarrays:
-	*
-	*     -   a one-dimensional input ndarray.
-	*     -   a one-dimensional output ndarray.
-	*
-	* @param arrays - array-like object containing ndarrays
-	* @returns output ndarray
-	*
-	* @example
-	* var Float64Vector = require( '@stdlib/ndarray-vector-float64' );
-	*
-	* var x = new Float64Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
-	* var y = new Float64Vector( [ 2.0, 4.0, 6.0, 8.0, 10.0 ] );
-	*
-	* var out = ns.dxsy( [ x, y ] );
-	* // returns <ndarray>[ -1.0, -2.0, -3.0, -4.0, -5.0 ]
-	*/
-	dxsy: typeof dxsy;
-
 	/**
 	* Fills a one-dimensional double-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from zero.
 	*
@@ -2261,30 +2208,6 @@ interface Namespace {
 	*/
 	gxsa: typeof gxsa;
 
-	/**
-	* Subtracts the elements of an output one-dimensional ndarray from the corresponding elements in an input one-dimensional ndarray and assigns the results to the output ndarray.
-	*
-	* ## Notes
-	*
-	* -   The function expects the following ndarrays:
-	*
-	*     -   a one-dimensional input ndarray.
-	*     -   a one-dimensional output ndarray.
-	*
-	* @param arrays - array-like object containing ndarrays
-	* @returns output ndarray
-	*
-	* @example
-	* var vector = require( '@stdlib/ndarray-vector-ctor' );
-	*
-	* var x = vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ], 'generic' );
-	* var y = vector( [ 5.0, 4.0, 3.0, 2.0, 1.0 ], 'generic' );
-	*
-	* var out = ns.gxsy( [ x, y ] );
-	* // returns <ndarray>[ -4.0, -2.0, 0.0, 2.0, 4.0 ]
-	*/
-	gxsy: typeof gxsy;
-
 	/**
 	* Fills a one-dimensional ndarray with linearly spaced numeric elements which increment by `1` starting from zero.
 	*
@@ -3055,30 +2978,6 @@ interface Namespace {
 	*/
 	sxsa: typeof sxsa;
 
-	/**
-	* Subtracts the elements of an output one-dimensional single-precision floating-point ndarray from the corresponding elements in an input one-dimensional single-precision floating-point ndarray and assigns the results to the output ndarray.
-	*
-	* ## Notes
-	*
-	* -   The function expects the following ndarrays:
-	*
-	*     -   a one-dimensional input ndarray.
-	*     -   a one-dimensional output ndarray.
-	*
-	* @param arrays - array-like object containing ndarrays
-	* @returns output ndarray
-	*
-	* @example
-	* var Float32Vector = require( '@stdlib/ndarray-vector-float32' );
-	*
-	* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
-	* var y = new Float32Vector( [ 2.0, 4.0, 6.0, 8.0, 10.0 ] );
-	*
-	* var out = ns.sxsy( [ x, y ] );
-	* // returns <ndarray>[ -1.0, -2.0, -3.0, -4.0, -5.0 ]
-	*/
-	sxsy: typeof sxsy;
-
 	/**
 	* Fills a one-dimensional single-precision floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from zero.
 	*
@@ -3354,30 +3253,6 @@ interface Namespace {
 	*/
 	zxsa: typeof zxsa;
 
-	/**
-	* Subtracts the elements of an output one-dimensional double-precision complex floating-point ndarray from the corresponding elements in an input one-dimensional double-precision complex floating-point ndarray and assigns the results to the output ndarray.
-	*
-	* ## Notes
-	*
-	* -   The function expects the following ndarrays:
-	*
-	*     -   a one-dimensional input ndarray.
-	*     -   a one-dimensional output ndarray.
-	*
-	* @param arrays - array-like object containing ndarrays
-	* @returns output ndarray
-	*
-	* @example
-	* var Complex128Vector = require( '@stdlib/ndarray-vector-complex128' );
-	*
-	* var x = new Complex128Vector( [ 1.0, -2.0, 3.0, 4.0, -5.0, 6.0 ] );
-	* var y = new Complex128Vector( [ 2.0, 3.0, -4.0, 5.0, 6.0, -7.0 ] );
-	*
-	* var out = ns.zxsy( [ x, y ] );
-	* // returns <ndarray>[ <Complex128>[ -1.0, -5.0 ], <Complex128>[ 7.0, -1.0 ], <Complex128>[ -11.0, 13.0 ] ]
-	*/
-	zxsy: typeof zxsy;
-
 	/**
 	* Fills a one-dimensional double-precision complex floating-point ndarray with linearly spaced numeric elements which increment by `1` starting from zero.
 	*