From 82fdceea89030a7bf2f0197ebc93b8cbe16aab4a Mon Sep 17 00:00:00 2001
From: Karan Anand <anandkarancompsci@gmail.com>
Date: Sun, 31 May 2026 21:04:34 -0700
Subject: [PATCH 1/2] feat: add `blas/ext/base/ndarray/gxsa`

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
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---
---
 .../blas/ext/base/ndarray/gxsa/README.md      | 123 ++++++++++
 .../base/ndarray/gxsa/benchmark/benchmark.js  | 107 +++++++++
 .../blas/ext/base/ndarray/gxsa/docs/repl.txt  |  32 +++
 .../base/ndarray/gxsa/docs/types/index.d.ts   |  56 +++++
 .../ext/base/ndarray/gxsa/docs/types/test.ts  |  64 +++++
 .../ext/base/ndarray/gxsa/examples/index.js   |  38 +++
 .../blas/ext/base/ndarray/gxsa/lib/index.js   |  48 ++++
 .../blas/ext/base/ndarray/gxsa/lib/main.js    |  72 ++++++
 .../blas/ext/base/ndarray/gxsa/package.json   |  70 ++++++
 .../blas/ext/base/ndarray/gxsa/test/test.js   | 218 ++++++++++++++++++
 10 files changed, 828 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/README.md
new file mode 100644
index 000000000000..c6e7b622a4e3
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/README.md
@@ -0,0 +1,123 @@
+<!--
+
+@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.
+
+-->
+
+# gxsa
+
+> Subtract a scalar constant from each element in a one-dimensional ndarray.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var gxsa = require( '@stdlib/blas/ext/base/ndarray/gxsa' );
+```
+
+#### gxsa( arrays )
+
+Subtracts a scalar constant from each element in a one-dimensional ndarray.
+
+```javascript
+var vector = require( '@stdlib/ndarray/vector/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+
+var x = vector( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ], 'generic' );
+
+var alpha = scalar2ndarray( 5.0, {
+    'dtype': 'generic'
+});
+
+gxsa( [ x, alpha ] );
+// x => <ndarray>[ -7.0, -4.0, -2.0, -10.0, -1.0, -5.0, -6.0, -8.0 ]
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a zero-dimensional ndarray containing the scalar constant to subtract.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The input ndarray is modified **in-place** (i.e., the input ndarray is **mutated**).
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var gxsa = require( '@stdlib/blas/ext/base/ndarray/gxsa' );
+
+var opts = {
+    'dtype': 'generic'
+};
+
+var x = discreteUniform( [ 10 ], -100, 100, opts );
+console.log( ndarray2array( x ) );
+
+var alpha = scalar2ndarray( 5.0, opts );
+console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );
+
+gxsa( [ x, alpha ] );
+console.log( ndarray2array( x ) );
+```
+
+</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/gxsa/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/benchmark/benchmark.js
new file mode 100644
index 000000000000..c47400646f5e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/benchmark/benchmark.js
@@ -0,0 +1,107 @@
+/**
+* @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/uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var gxsa = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var alpha;
+	var x;
+
+	x = uniform( [ len ], -100.0, 100.0, options );
+	alpha = scalar2ndarray( 5.0, options );
+	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 = gxsa( [ x, 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/gxsa/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/docs/repl.txt
new file mode 100644
index 000000000000..503376e18321
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/docs/repl.txt
@@ -0,0 +1,32 @@
+
+{{alias}}( arrays )
+    Subtracts a scalar constant from each element in a one-dimensional ndarray.
+
+    The input ndarray is modified *in-place* (i.e., the input ndarray is
+    *mutated*).
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a zero-dimensional ndarray containing the scalar constant to subtract.
+
+    Returns
+    -------
+    out: ndarray
+        Input ndarray.
+
+    Examples
+    --------
+    > var buf = [ -2.0, 1.0, 3.0, -5.0 ];
+    > var x = {{alias:@stdlib/ndarray/vector/ctor}}( buf, 'generic' );
+    > var opts = { 'dtype': 'generic' };
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, opts );
+    > {{alias}}( [ x, alpha ] )
+    <ndarray>[ -7.0, -4.0, -2.0, -10.0 ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/docs/types/index.d.ts
new file mode 100644
index 000000000000..fa765ed5db80
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/docs/types/index.d.ts
@@ -0,0 +1,56 @@
+/*
+* @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 { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Subtracts a scalar constant from each element in a one-dimensional ndarray.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing the scalar constant to subtract.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns input ndarray
+*
+* @example
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = vector( [ -2.0, 1.0, 3.0, -5.0 ], 'generic' );
+*
+* var alpha = scalar2ndarray( 5.0, {
+*     'dtype': 'generic'
+* });
+*
+* var out = gxsa( [ x, alpha ] );
+* // returns <ndarray>[ -7.0, -4.0, -2.0, -10.0 ]
+*/
+declare function gxsa<T extends typedndarray<number> = typedndarray<number>>( arrays: [ T, typedndarray<number> ] ): T;
+
+
+// EXPORTS //
+
+export = gxsa;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/docs/types/test.ts
new file mode 100644
index 000000000000..d2b199628299
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/docs/types/test.ts
@@ -0,0 +1,64 @@
+/*
+* @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 gxsa = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 10 ], {
+		'dtype': 'generic'
+	});
+	const alpha = scalar2ndarray( 5.0, {
+		'dtype': 'generic'
+	});
+
+	gxsa( [ x, alpha ] ); // $ExpectType genericndarray<number>
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	gxsa( '10' ); // $ExpectError
+	gxsa( 5 ); // $ExpectError
+	gxsa( true ); // $ExpectError
+	gxsa( false ); // $ExpectError
+	gxsa( null ); // $ExpectError
+	gxsa( undefined ); // $ExpectError
+	gxsa( [] ); // $ExpectError
+	gxsa( {} ); // $ExpectError
+	gxsa( ( 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': 'generic'
+	});
+	const alpha = scalar2ndarray( 5.0, {
+		'dtype': 'generic'
+	});
+
+	gxsa(); // $ExpectError
+	gxsa( [ x, alpha ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/examples/index.js
new file mode 100644
index 000000000000..1aa94d33ffba
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/examples/index.js
@@ -0,0 +1,38 @@
+/**
+* @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/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+var gxsa = require( './../lib' );
+
+var opts = {
+	'dtype': 'generic'
+};
+
+var x = discreteUniform( [ 10 ], -100, 100, opts );
+console.log( ndarray2array( x ) );
+
+var alpha = scalar2ndarray( 5.0, opts );
+console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );
+
+gxsa( [ x, alpha ] );
+console.log( ndarray2array( x ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/lib/index.js
new file mode 100644
index 000000000000..f77a42a26e5d
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/lib/index.js
@@ -0,0 +1,48 @@
+/**
+* @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 a one-dimensional ndarray.
+*
+* @module @stdlib/blas/ext/base/ndarray/gxsa
+*
+* @example
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var gxsa = require( '@stdlib/blas/ext/base/ndarray/gxsa' );
+*
+* var x = vector( [ -2.0, 1.0, 3.0, -5.0 ], 'generic' );
+*
+* var alpha = scalar2ndarray( 5.0, {
+*     'dtype': 'generic'
+* });
+*
+* var out = gxsa( [ x, alpha ] );
+* // returns <ndarray>[ -7.0, -4.0, -2.0, -10.0 ]
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/lib/main.js
new file mode 100644
index 000000000000..e270a732b164
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/lib/main.js
@@ -0,0 +1,72 @@
+/**
+* @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/gxsa' ).ndarray;
+var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+
+
+// MAIN //
+
+/**
+* Subtracts a scalar constant from each element in a one-dimensional ndarray.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing the scalar constant to subtract.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {ndarray} input ndarray
+*
+* @example
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = vector( [ -2.0, 1.0, 3.0, -5.0 ], 'generic' );
+*
+* var alpha = scalar2ndarray( 5.0, {
+*     'dtype': 'generic'
+* });
+*
+* var out = gxsa( [ x, alpha ] );
+* // returns <ndarray>[ -7.0, -4.0, -2.0, -10.0 ]
+*/
+function gxsa( arrays ) {
+	var alpha;
+	var x;
+
+	x = arrays[ 0 ];
+	alpha = ndarraylike2scalar( arrays[ 1 ] );
+	strided( numelDimension( x, 0 ), alpha, getData( x ), getStride( x, 0 ), getOffset( x ) ); // eslint-disable-line max-len
+	return x;
+}
+
+
+// EXPORTS //
+
+module.exports = gxsa;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/package.json
new file mode 100644
index 000000000000..2370b163ac87
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/package.json
@@ -0,0 +1,70 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/gxsa",
+  "version": "0.0.0",
+  "description": "Subtract a scalar constant from each element in a one-dimensional 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",
+    "gxsa",
+    "xsa",
+    "subtract",
+    "scalar",
+    "constant",
+    "strided",
+    "array",
+    "ndarray",
+    "generic"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/test/test.js
new file mode 100644
index 000000000000..501f01fc28aa
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/test/test.js
@@ -0,0 +1,218 @@
+/**
+* @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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var gxsa = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Collection} 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( 'generic', buffer, [ length ], [ stride ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof gxsa, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function subtracts a scalar constant from each element', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var xbuf;
+	var x;
+
+	xbuf = [
+		-2.0, // 0
+		1.0,  // 1
+		3.0,  // 2
+		-5.0, // 3
+		4.0   // 4
+	];
+	x = vector( xbuf, 5, 1, 0 );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'generic'
+	});
+
+	actual = gxsa( [ x, alpha ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = [
+		-7.0,  // 0
+		-4.0,  // 1
+		-2.0,  // 2
+		-10.0, // 3
+		-1.0   // 4
+	];
+	t.deepEqual( xbuf, expected, '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 x;
+
+	xbuf = [
+		-2.0, // 0
+		1.0,
+		3.0,  // 1
+		-5.0,
+		4.0,  // 2
+		0.0,
+		-1.0, // 3
+		-3.0
+	];
+	x = vector( xbuf, 4, 2, 0 );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'generic'
+	});
+
+	actual = gxsa( [ x, alpha ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = [
+		-7.0, // 0
+		1.0,
+		-2.0, // 1
+		-5.0,
+		-1.0, // 2
+		0.0,
+		-6.0, // 3
+		-3.0
+	];
+	t.deepEqual( xbuf, expected, '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 x;
+
+	xbuf = [
+		-2.0, // 4
+		1.0,  // 3
+		3.0,  // 2
+		-5.0, // 1
+		4.0   // 0
+	];
+	x = vector( xbuf, 5, -1, 4 );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'generic'
+	});
+
+	actual = gxsa( [ x, alpha ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = [
+		-7.0,  // 4
+		-4.0,  // 3
+		-2.0,  // 2
+		-10.0, // 1
+		-1.0   // 0
+	];
+	t.deepEqual( xbuf, expected, '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 x;
+
+	xbuf = [
+		1.0,
+		-2.0,
+		3.0,  // 0
+		-5.0, // 1
+		4.0,  // 2
+		0.0
+	];
+	x = vector( xbuf, 3, 1, 2 );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'generic'
+	});
+
+	actual = gxsa( [ x, alpha ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = [
+		1.0,
+		-2.0,
+		-2.0,  // 0
+		-10.0, // 1
+		-1.0,  // 2
+		0.0
+	];
+	t.deepEqual( xbuf, expected, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function returns the input ndarray unchanged when the input ndarray is empty', function test( t ) {
+	var expected;
+	var actual;
+	var alpha;
+	var xbuf;
+	var x;
+
+	xbuf = [];
+	x = vector( xbuf, 0, 1, 0 );
+	alpha = scalar2ndarray( 5.0, {
+		'dtype': 'generic'
+	});
+
+	actual = gxsa( [ x, alpha ] );
+	t.strictEqual( actual, x, 'returns expected value' );
+
+	expected = [];
+	t.deepEqual( xbuf, expected, 'returns expected value' );
+
+	t.end();
+});

From 212b06c945cb8c2cc169e5970f875b5f12720233 Mon Sep 17 00:00:00 2001
From: Karan Anand <anandkarancompsci@gmail.com>
Date: Sun, 31 May 2026 21:24:34 -0700
Subject: [PATCH 2/2] test: update comments

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown_pkg_readmes
    status: na
  - task: lint_markdown_docs
    status: na
  - task: lint_markdown
    status: na
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---
---
 .../@stdlib/blas/ext/base/ndarray/gxsa/test/test.js    | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/test/test.js
index 501f01fc28aa..b16099dd8983 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gxsa/test/test.js
@@ -74,11 +74,11 @@ tape( 'the function subtracts a scalar constant from each element', function tes
 	t.strictEqual( actual, x, 'returns expected value' );
 
 	expected = [
-		-7.0,  // 0
-		-4.0,  // 1
-		-2.0,  // 2
-		-10.0, // 3
-		-1.0   // 4
+		-7.0,  // -2.0 - 5.0
+		-4.0,  // 1.0 - 5.0
+		-2.0,  // 3.0 - 5.0
+		-10.0, // -5.0 - 5.0
+		-1.0   // 4.0 - 5.0
 	];
 	t.deepEqual( xbuf, expected, 'returns expected value' );