From 247ccf9651c3e2a2651e5845b0ff110fc2f20b23 Mon Sep 17 00:00:00 2001
From: Karan Anand <anandkarancompsci@gmail.com>
Date: Sun, 26 Jul 2026 22:38:45 -0700
Subject: [PATCH 1/3] feat: add `blas/ext/base/ndarray/zwxsa`

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description: Results of running static analysis checks when committing changes.
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---
 .../blas/ext/base/ndarray/zwxsa/README.md     | 133 ++++++
 .../base/ndarray/zwxsa/benchmark/benchmark.js | 110 +++++
 .../blas/ext/base/ndarray/zwxsa/docs/repl.txt |  38 ++
 .../base/ndarray/zwxsa/docs/types/index.d.ts  |  60 +++
 .../ext/base/ndarray/zwxsa/docs/types/test.ts |  71 +++
 .../ext/base/ndarray/zwxsa/examples/index.js  |  45 ++
 .../blas/ext/base/ndarray/zwxsa/lib/index.js  |  50 ++
 .../blas/ext/base/ndarray/zwxsa/lib/main.js   |  80 ++++
 .../blas/ext/base/ndarray/zwxsa/package.json  |  74 +++
 .../blas/ext/base/ndarray/zwxsa/test/test.js  | 452 ++++++++++++++++++
 10 files changed, 1113 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/README.md
new file mode 100644
index 000000000000..b7ea1d363682
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/README.md
@@ -0,0 +1,133 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
+# zwxsa
+
+> Subtract a scalar constant from each element in an input one-dimensional double-precision complex floating-point ndarray and assign the results to elements in a one-dimensional double-precision complex floating-point output ndarray.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var zwxsa = require( '@stdlib/blas/ext/base/ndarray/zwxsa' );
+```
+
+#### zwxsa( arrays )
+
+Subtracts a scalar constant from each element in an input one-dimensional double-precision complex floating-point ndarray and assigns the results to elements in a one-dimensional double-precision complex floating-point output ndarray.
+
+```javascript
+var Complex128Vector = require( '@stdlib/ndarray/vector/complex128' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+
+var x = new Complex128Vector( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );
+var w = new Complex128Vector( 4 );
+
+var alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+    'dtype': 'complex128'
+});
+
+zwxsa( [ x, w, alpha ] );
+// w => <ndarray>[ <Complex128>[ -7.0, 1.0 ], <Complex128>[ -2.0, -5.0 ], <Complex128>[ -1.0, 0.0 ], <Complex128>[ -6.0, -3.0 ] ]
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a one-dimensional output ndarray.
+    -   a zero-dimensional ndarray containing the scalar constant to subtract.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The output ndarray is modified **in-place** (i.e., the output ndarray is **mutated**).
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var Complex128Vector = require( '@stdlib/ndarray/vector/complex128' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var zwxsa = require( '@stdlib/blas/ext/base/ndarray/zwxsa' );
+
+var opts = {
+    'dtype': 'float64'
+};
+
+var x = new Complex128Vector( discreteUniform( 20, -100, 100, opts ) );
+console.log( ndarray2array( x ) );
+
+var w = new Complex128Vector( 10 );
+console.log( ndarray2array( w ) );
+
+var alpha = scalar2ndarray( new Complex128( 5.0, -3.0 ), {
+    'dtype': 'complex128'
+});
+console.log( 'Alpha:', ndarraylike2scalar( alpha ) );
+
+zwxsa( [ x, w, alpha ] );
+console.log( ndarray2array( w ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/benchmark/benchmark.js
new file mode 100644
index 000000000000..d733acda986f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/benchmark/benchmark.js
@@ -0,0 +1,110 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var Complex128Vector = require( '@stdlib/ndarray/vector/complex128' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var zwxsa = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var alpha;
+	var xbuf;
+	var x;
+	var w;
+
+	xbuf = uniform( len*2, -100.0, 100.0, {
+		'dtype': 'float64'
+	});
+	x = new Complex128Vector( xbuf.buffer );
+	w = new Complex128Vector( len );
+	alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var out;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			out = zwxsa( [ x, w, alpha ] );
+			if ( typeof out !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( typeof out !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+		b.pass( 'benchmark finished' );
+		b.end();
+	}
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+	var len;
+	var min;
+	var max;
+	var f;
+	var i;
+
+	min = 1; // 10^min
+	max = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( format( '%s:len=%d', pkg, len ), f );
+	}
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt
new file mode 100644
index 000000000000..f890c0bf222f
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt
@@ -0,0 +1,38 @@
+
+{{alias}}( arrays )
+    Subtracts a scalar constant from each element in an input one-dimensional
+    double-precision complex floating-point ndarray and assigns the results to
+    elements in a one-dimensional double-precision complex floating-point
+    output ndarray.
+
+    The output ndarray is modified *in-place* (i.e., the output ndarray is
+    *mutated*).
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a one-dimensional output ndarray.
+        - a zero-dimensional ndarray containing the scalar constant to subtract.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var xbuf = [ -2.0, 1.0, 3.0, -5.0 ];
+    > var x = new {{alias:@stdlib/ndarray/vector/complex128}}( xbuf );
+    > var w = new {{alias:@stdlib/ndarray/vector/complex128}}( 2 );
+    > var opts = { 'dtype': 'complex128' };
+    > var a = new {{alias:@stdlib/complex/float64/ctor}}( 5.0, 0.0 );
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( a, opts );
+    > {{alias}}( [ x, w, alpha ] )
+    <ndarray>[ <Complex128>[ -7.0, 1.0 ], <Complex128>[ -2.0, -5.0 ] ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/types/index.d.ts
new file mode 100644
index 000000000000..e77798ed3dd6
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/types/index.d.ts
@@ -0,0 +1,60 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { complex128ndarray, typedndarray } from '@stdlib/types/ndarray';
+import { Complex128 } from '@stdlib/types/complex';
+
+/**
+* Subtracts a scalar constant from each element in an input one-dimensional double-precision complex floating-point ndarray and assigns the results to elements in a one-dimensional double-precision complex floating-point output ndarray.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a one-dimensional output ndarray.
+*     -   a zero-dimensional ndarray containing the scalar constant to subtract.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns output ndarray
+*
+* @example
+* var Complex128Vector = require( '@stdlib/ndarray/vector/complex128' );
+* var Complex128 = require( '@stdlib/complex/float64/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Complex128Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+* var w = new Complex128Vector( 2 );
+*
+* var alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+*     'dtype': 'complex128'
+* });
+*
+* var out = zwxsa( [ x, w, alpha ] );
+* // returns <ndarray>[ <Complex128>[ -7.0, 1.0 ], <Complex128>[ -2.0, -5.0 ] ]
+*/
+declare function zwxsa( arrays: [ complex128ndarray, complex128ndarray, typedndarray<Complex128> ] ): complex128ndarray;
+
+
+// EXPORTS //
+
+export = zwxsa;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/types/test.ts
new file mode 100644
index 000000000000..b32fc3f54cf6
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/types/test.ts
@@ -0,0 +1,71 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+/* eslint-disable space-in-parens */
+
+import zeros = require( '@stdlib/ndarray/zeros' );
+import scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+import Complex128 = require( '@stdlib/complex/float64/ctor' );
+import zwxsa = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'complex128'
+	});
+	const w = zeros( [ 10 ], {
+		'dtype': 'complex128'
+	});
+	const alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	zwxsa( [ x, w, alpha ] ); // $ExpectType complex128ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	zwxsa( '10' ); // $ExpectError
+	zwxsa( 5 ); // $ExpectError
+	zwxsa( true ); // $ExpectError
+	zwxsa( false ); // $ExpectError
+	zwxsa( null ); // $ExpectError
+	zwxsa( undefined ); // $ExpectError
+	zwxsa( [] ); // $ExpectError
+	zwxsa( {} ); // $ExpectError
+	zwxsa( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'complex128'
+	});
+	const w = zeros( [ 10 ], {
+		'dtype': 'complex128'
+	});
+	const alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	zwxsa(); // $ExpectError
+	zwxsa( [ x, w, alpha ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/examples/index.js
new file mode 100644
index 000000000000..e19bde127246
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/examples/index.js
@@ -0,0 +1,45 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var Complex128Vector = require( '@stdlib/ndarray/vector/complex128' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
+var zwxsa = require( './../lib' );
+
+var opts = {
+	'dtype': 'float64'
+};
+
+var x = new Complex128Vector( discreteUniform( 20, -100, 100, opts ) );
+console.log( ndarray2array( x ) );
+
+var w = new Complex128Vector( 10 );
+console.log( ndarray2array( w ) );
+
+var alpha = scalar2ndarray( new Complex128( 5.0, -3.0 ), {
+	'dtype': 'complex128'
+});
+console.log( 'Alpha:', ndarraylike2scalar( alpha ) );
+
+zwxsa( [ x, w, alpha ] );
+console.log( ndarray2array( w ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/lib/index.js
new file mode 100644
index 000000000000..42884cceaaea
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/lib/index.js
@@ -0,0 +1,50 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Subtract a scalar constant from each element in an input one-dimensional double-precision complex floating-point ndarray and assign the results to elements in a one-dimensional double-precision complex floating-point output ndarray.
+*
+* @module @stdlib/blas/ext/base/ndarray/zwxsa
+*
+* @example
+* var Complex128Vector = require( '@stdlib/ndarray/vector/complex128' );
+* var Complex128 = require( '@stdlib/complex/float64/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var zwxsa = require( '@stdlib/blas/ext/base/ndarray/zwxsa' );
+*
+* var x = new Complex128Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+* var w = new Complex128Vector( 2 );
+*
+* var alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+*     'dtype': 'complex128'
+* });
+*
+* var out = zwxsa( [ x, w, alpha ] );
+* // returns <ndarray>[ <Complex128>[ -7.0, 1.0 ], <Complex128>[ -2.0, -5.0 ] ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/lib/main.js
new file mode 100644
index 000000000000..18e24cc722ad
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/lib/main.js
@@ -0,0 +1,80 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getStride = require( '@stdlib/ndarray/base/stride' );
+var getOffset = require( '@stdlib/ndarray/base/offset' );
+var getData = require( '@stdlib/ndarray/base/data-buffer' );
+var strided = require( '@stdlib/blas/ext/base/zwxsa' ).ndarray;
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+
+
+// MAIN //
+
+/**
+* Subtracts a scalar constant from each element in an input one-dimensional double-precision complex floating-point ndarray and assigns the results to elements in a one-dimensional double-precision complex floating-point output ndarray.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a one-dimensional output ndarray.
+*     -   a zero-dimensional ndarray containing the scalar constant to subtract.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {ndarray} output ndarray
+*
+* @example
+* var Complex128Vector = require( '@stdlib/ndarray/vector/complex128' );
+* var Complex128 = require( '@stdlib/complex/float64/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Complex128Vector( [ -2.0, 1.0, 3.0, -5.0 ] );
+* var w = new Complex128Vector( 2 );
+*
+* var alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+*     'dtype': 'complex128'
+* });
+*
+* var out = zwxsa( [ x, w, alpha ] );
+* // returns <ndarray>[ <Complex128>[ -7.0, 1.0 ], <Complex128>[ -2.0, -5.0 ] ]
+*
+* var bool = ( out === w );
+* // returns true
+*/
+function zwxsa( arrays ) {
+	var alpha;
+	var x;
+	var w;
+
+	x = arrays[ 0 ];
+	w = arrays[ 1 ];
+	alpha = ndarraylike2scalar( arrays[ 2 ] );
+	strided( numelDimension( x, 0 ), alpha, getData( x ), getStride( x, 0 ), getOffset( x ), getData( w ), getStride( w, 0 ), getOffset( w ) ); // eslint-disable-line max-len
+	return w;
+}
+
+
+// EXPORTS //
+
+module.exports = zwxsa;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/package.json
new file mode 100644
index 000000000000..e6ca5d3a56e8
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/package.json
@@ -0,0 +1,74 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/zwxsa",
+  "version": "0.0.0",
+  "description": "Subtract a scalar constant from each element in an input one-dimensional double-precision complex floating-point ndarray and assign the results to elements in a one-dimensional double-precision complex floating-point output ndarray.",
+  "license": "Apache-2.0",
+  "author": {
+    "name": "The Stdlib Authors",
+    "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+  },
+  "contributors": [
+    {
+      "name": "The Stdlib Authors",
+      "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+    }
+  ],
+  "main": "./lib",
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "lib": "./lib",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "stdmath",
+    "mathematics",
+    "math",
+    "blas",
+    "extended",
+    "ext",
+    "zwxsa",
+    "wxsa",
+    "subtract",
+    "scalar",
+    "constant",
+    "strided",
+    "array",
+    "ndarray",
+    "complex128",
+    "complex",
+    "double",
+    "double-precision",
+    "float64"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/test/test.js
new file mode 100644
index 000000000000..b71ed03704b3
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/test/test.js
@@ -0,0 +1,452 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isSameComplex128Array = require( '@stdlib/assert/is-same-complex128array' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var Complex128 = require( '@stdlib/complex/float64/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var zwxsa = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Complex128Array} buffer - underlying data buffer
+* @param {NonNegativeInteger} length - number of indexed elements
+* @param {integer} stride - stride length
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} one-dimensional ndarray
+*/
+function vector( buffer, length, stride, offset ) {
+	return new ndarray( 'complex128', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof zwxsa, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( zwxsa.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function subtracts a scalar constant from each element and assigns results to an output ndarray', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex128Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0, // 1
+		4.0,  // 2
+		0.0,  // 2
+		-1.0, // 3
+		-3.0, // 3
+		2.0,  // 4
+		1.0   // 4
+	]);
+	wbuf = new Complex128Array([
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0, // 1
+		0.0, // 2
+		0.0, // 2
+		0.0, // 3
+		0.0, // 3
+		0.0, // 4
+		0.0  // 4
+	]);
+	x = vector( xbuf, 5, 1, 0 );
+	w = vector( wbuf, 5, 1, 0 );
+	alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = zwxsa( [ x, w, alpha ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex128Array([
+		-7.0, // 0
+		1.0,  // 0
+		-2.0, // 1
+		-5.0, // 1
+		-1.0, // 2
+		0.0,  // 2
+		-6.0, // 3
+		-3.0, // 3
+		-3.0, // 4
+		1.0   // 4
+	]);
+	t.strictEqual( isSameComplex128Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a non-unit stride', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex128Array([
+		-2.0, // 0
+		1.0,  // 0
+		0.0,
+		0.0,
+		4.0,  // 1
+		0.0,  // 1
+		0.0,
+		0.0
+	]);
+	wbuf = new Complex128Array([
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0  // 1
+	]);
+	x = vector( xbuf, 2, 2, 0 );
+	w = vector( wbuf, 2, 1, 0 );
+	alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = zwxsa( [ x, w, alpha ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex128Array([
+		-7.0, // 0
+		1.0,  // 0
+		-1.0, // 1
+		0.0   // 1
+	]);
+	t.strictEqual( isSameComplex128Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a negative stride', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex128Array([
+		-2.0, // 4
+		1.0,  // 4
+		3.0,  // 3
+		-5.0, // 3
+		4.0,  // 2
+		0.0,  // 2
+		-1.0, // 1
+		-3.0, // 1
+		2.0,  // 0
+		1.0   // 0
+	]);
+	wbuf = new Complex128Array([
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0, // 1
+		0.0, // 2
+		0.0, // 2
+		0.0, // 3
+		0.0, // 3
+		0.0, // 4
+		0.0  // 4
+	]);
+	x = vector( xbuf, 5, -1, 4 );
+	w = vector( wbuf, 5, 1, 0 );
+	alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = zwxsa( [ x, w, alpha ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex128Array([
+		-3.0,  // 0
+		1.0,   // 0
+		-6.0,  // 1
+		-3.0,  // 1
+		-1.0,  // 2
+		0.0,   // 2
+		-2.0,  // 3
+		-5.0,  // 3
+		-7.0,  // 4
+		1.0    // 4
+	]);
+	t.strictEqual( isSameComplex128Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an output ndarray having a non-unit stride', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex128Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0  // 1
+	]);
+	wbuf = new Complex128Array([
+		0.0, // 0
+		0.0, // 0
+		0.0,
+		0.0,
+		0.0, // 1
+		0.0, // 1
+		0.0,
+		0.0
+	]);
+	x = vector( xbuf, 2, 1, 0 );
+	w = vector( wbuf, 2, 2, 0 );
+	alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = zwxsa( [ x, w, alpha ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex128Array([
+		-7.0, // 0
+		1.0,  // 0
+		0.0,
+		0.0,
+		-2.0, // 1
+		-5.0, // 1
+		0.0,
+		0.0
+	]);
+	t.strictEqual( isSameComplex128Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an output ndarray having a negative stride', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex128Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0, // 1
+		4.0,  // 2
+		0.0   // 2
+	]);
+	wbuf = new Complex128Array([
+		0.0, // 2
+		0.0, // 2
+		0.0, // 1
+		0.0, // 1
+		0.0, // 0
+		0.0  // 0
+	]);
+	x = vector( xbuf, 3, 1, 0 );
+	w = vector( wbuf, 3, -1, 2 );
+	alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = zwxsa( [ x, w, alpha ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex128Array([
+		-1.0, // 2
+		0.0,  // 2
+		-2.0, // 1
+		-5.0, // 1
+		-7.0, // 0
+		1.0   // 0
+	]);
+	t.strictEqual( isSameComplex128Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an input ndarray having a non-zero offset', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex128Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		3.0,  // 0
+		-5.0, // 0
+		4.0,  // 1
+		0.0,  // 1
+		-1.0, // 2
+		-3.0  // 2
+	]);
+	wbuf = new Complex128Array([
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0, // 1
+		0.0, // 2
+		0.0  // 2
+	]);
+	x = vector( xbuf, 3, 1, 2 );
+	w = vector( wbuf, 3, 1, 0 );
+	alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = zwxsa( [ x, w, alpha ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex128Array([
+		-2.0,  // 0
+		-5.0,  // 0
+		-1.0,  // 1
+		0.0,   // 1
+		-6.0,  // 2
+		-3.0   // 2
+	]);
+	t.strictEqual( isSameComplex128Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports an output ndarray having a non-zero offset', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex128Array([
+		-2.0, // 0
+		1.0,  // 0
+		3.0,  // 1
+		-5.0, // 1
+		4.0,  // 2
+		0.0   // 2
+	]);
+	wbuf = new Complex128Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		0.0, // 0
+		0.0, // 0
+		0.0, // 1
+		0.0, // 1
+		0.0, // 2
+		0.0  // 2
+	]);
+	x = vector( xbuf, 3, 1, 0 );
+	w = vector( wbuf, 3, 1, 2 );
+	alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = zwxsa( [ x, w, alpha ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex128Array([
+		0.0,
+		0.0,
+		0.0,
+		0.0,
+		-7.0, // 0
+		1.0,  // 0
+		-2.0, // 1
+		-5.0, // 1
+		-1.0, // 2
+		0.0   // 2
+	]);
+	t.strictEqual( isSameComplex128Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function returns the output ndarray unchanged when the input ndarray is empty', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var xbuf;
+	var wbuf;
+	var x;
+	var w;
+
+	xbuf = new Complex128Array( [] );
+	wbuf = new Complex128Array( [] );
+	x = vector( xbuf, 0, 1, 0 );
+	w = vector( wbuf, 0, 1, 0 );
+	alpha = scalar2ndarray( new Complex128( 5.0, 0.0 ), {
+		'dtype': 'complex128'
+	});
+
+	actual = zwxsa( [ x, w, alpha ] );
+	t.strictEqual( actual, w, 'returns expected value' );
+
+	expected = new Complex128Array( [] );
+	t.strictEqual( isSameComplex128Array( getData( actual ), expected ), true, 'returns expected value' );
+
+	t.end();
+});

From f362d98e242e14a1cf6e87aa44b9f2a6433e4c34 Mon Sep 17 00:00:00 2001
From: Karan Anand <119553199+anandkaranubc@users.noreply.github.com>
Date: Sun, 26 Jul 2026 23:06:17 -0700
Subject: [PATCH 2/3] Apply suggestions from code review

Co-authored-by: Karan Anand <119553199+anandkaranubc@users.noreply.github.com>
Signed-off-by: Karan Anand <119553199+anandkaranubc@users.noreply.github.com>
---
 .../@stdlib/blas/ext/base/ndarray/zwxsa/README.md             | 4 ----
 .../@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt         | 3 ---
 2 files changed, 7 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/README.md
index b7ea1d363682..9b1e8456bfa4 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/README.md
@@ -70,10 +70,6 @@ The function has the following parameters:
 
 <section class="notes">
 
-## Notes
-
--   The output ndarray is modified **in-place** (i.e., the output ndarray is **mutated**).
-
 </section>
 
 <!-- /.notes -->
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt
index f890c0bf222f..a896f9057836 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt
@@ -5,9 +5,6 @@
     elements in a one-dimensional double-precision complex floating-point
     output ndarray.
 
-    The output ndarray is modified *in-place* (i.e., the output ndarray is
-    *mutated*).
-
     Parameters
     ----------
     arrays: ArrayLikeObject<ndarray>

From d26ff5eafad3c692e31b325c7b8369c6f78a8029 Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Mon, 27 Jul 2026 01:22:41 -0700
Subject: [PATCH 3/3] Apply suggestions from code review

Co-authored-by: Athan <kgryte@gmail.com>
Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt         | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt
index a896f9057836..3b4dc6e23127 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/zwxsa/docs/repl.txt
@@ -2,8 +2,8 @@
 {{alias}}( arrays )
     Subtracts a scalar constant from each element in an input one-dimensional
     double-precision complex floating-point ndarray and assigns the results to
-    elements in a one-dimensional double-precision complex floating-point
-    output ndarray.
+    elements in a one-dimensional double-precision complex floating-point output
+    ndarray.
 
     Parameters
     ----------