From 3b1d40a126f388c63a681d463f0c2a29ad594292 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Sun, 30 Aug 2026 15:19:23 +0500
Subject: [PATCH 1/2] feat: add blas/ext/base/ndarray/dcartesian-product

---
 .../base/ndarray/dcartesian-product/README.md | 130 ++++++++
 .../dcartesian-product/benchmark/benchmark.js | 110 +++++++
 .../ndarray/dcartesian-product/docs/repl.txt  |  41 +++
 .../dcartesian-product/docs/types/index.d.ts  |  60 ++++
 .../dcartesian-product/docs/types/test.ts     |  69 +++++
 .../dcartesian-product/examples/index.js      |  39 +++
 .../ndarray/dcartesian-product/lib/index.js   |  51 ++++
 .../ndarray/dcartesian-product/lib/main.js    |  82 +++++
 .../ndarray/dcartesian-product/package.json   |  69 +++++
 .../ndarray/dcartesian-product/test/test.js   | 285 ++++++++++++++++++
 10 files changed, 936 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/README.md
new file mode 100644
index 000000000000..f6a6f9b254df
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/README.md
@@ -0,0 +1,130 @@
+<!--
+
+@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.
+
+-->
+
+# dcartesianProduct
+
+> Compute the Cartesian product for two double-precision floating-point ndarrays.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var dcartesianProduct = require( '@stdlib/blas/ext/base/ndarray/dcartesian-product' );
+```
+
+#### dcartesianProduct( arrays )
+
+Computes the Cartesian product for two double-precision floating-point ndarrays.
+
+```javascript
+var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+
+var x = new Float64Vector( [ 1.0, 2.0 ] );
+var y = new Float64Vector( [ 3.0, 4.0 ] );
+var out = zeros( [ 4, 2 ], {
+    'dtype': 'float64'
+});
+
+var v = dcartesianProduct( [ x, y, out ] );
+// returns <ndarray>[ [ 1.0, 3.0 ], [ 1.0, 4.0 ], [ 2.0, 3.0 ], [ 2.0, 4.0 ] ]
+
+var bool = ( v === out );
+// returns true
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a one-dimensional input ndarray.
+    -   a two-dimensional output ndarray.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   Pairs are stored as rows in the output matrix, where the first column contains the first element of each pair and the second column contains the second element.
+-   For input arrays `x` of length `M` and `y` of length `N`, the output array should have shape `[M*N, 2]`, where `M*N` is the number of rows and `2` is the number of columns.
+-   If `M <= 0` or `N <= 0`, the function returns the output ndarray unchanged.
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dcartesianProduct = require( '@stdlib/blas/ext/base/ndarray/dcartesian-product' );
+
+var opts = {
+    'dtype': 'float64'
+};
+
+var x = discreteUniform( [ 3 ], -50, 50, opts );
+console.log( ndarray2array( x ) );
+
+var y = discreteUniform( [ 2 ], -50, 50, opts );
+console.log( ndarray2array( y ) );
+
+var out = zeros( [ 6, 2 ], opts );
+
+var v = dcartesianProduct( [ x, y, out ] );
+console.log( ndarray2array( v ) );
+```
+
+</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/dcartesian-product/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/benchmark.js
new file mode 100644
index 000000000000..f006f3012e19
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/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/uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var dcartesianProduct = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var out;
+	var x;
+	var y;
+
+	x = uniform( [ len ], -100.0, 100.0, {
+		'dtype': 'float64'
+	});
+	y = uniform( [ len ], -100.0, 100.0, {
+		'dtype': 'float64'
+	});
+	out = zeros( [ len*len, 2 ], {
+		'dtype': 'float64'
+	});
+
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var v;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			v = dcartesianProduct( [ x, y, out ] );
+			if ( typeof v !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnan( v.get( i%(len*len), i%2 ) ) ) {
+			b.fail( 'should not return NaN' );
+		}
+		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 = 3; // 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/dcartesian-product/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/docs/repl.txt
new file mode 100644
index 000000000000..6845d815979c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/docs/repl.txt
@@ -0,0 +1,41 @@
+
+{{alias}}( arrays )
+    Computes the Cartesian product for two double-precision floating-point
+    ndarrays.
+
+    Pairs are stored as rows in the output matrix, where the first column
+    contains the first element of each pair and the second column contains the
+    second element.
+
+    For input arrays `x` of length `M` and `y` of length `N`, the output array
+    should have shape [M*N, 2], where `M*N` is the number of rows and `2` is
+    the number of columns.
+
+    If `M <= 0` or `N <= 0`, the function returns the output ndarray unchanged.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a one-dimensional input ndarray.
+        - a two-dimensional output ndarray.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var x = new {{alias:@stdlib/ndarray/vector/float64}}( [ 1.0, 2.0 ] );
+    > var y = new {{alias:@stdlib/ndarray/vector/float64}}( [ 3.0, 4.0 ] );
+    > var out = {{alias:@stdlib/ndarray/zeros}}( [ 4, 2 ], { 'dtype': 'float64' } );
+    > {{alias}}( [ x, y, out ] );
+    > out
+    <ndarray>[ [ 1.0, 3.0 ], [ 1.0, 4.0 ], [ 2.0, 3.0 ], [ 2.0, 4.0 ] ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/docs/types/index.d.ts
new file mode 100644
index 000000000000..684c6a4f7b53
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/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 { float64ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the Cartesian product for two double-precision floating-point ndarrays.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a one-dimensional input ndarray.
+*     -   a two-dimensional output ndarray.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns output ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0 ] );
+* var y = new Float64Vector( [ 3.0, 4.0 ] );
+* var out = zeros( [ 4, 2 ], {
+*     'dtype': 'float64'
+* });
+*
+* var v = dcartesianProduct( [ x, y, out ] );
+* // returns <ndarray>[ [ 1.0, 3.0 ], [ 1.0, 4.0 ], [ 2.0, 3.0 ], [ 2.0, 4.0 ] ]
+*
+* var bool = ( v === out );
+* // returns true
+*/
+declare function dcartesianProduct( arrays: [ float64ndarray, float64ndarray, float64ndarray ] ): float64ndarray;
+
+
+// EXPORTS //
+
+export = dcartesianProduct;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/docs/types/test.ts
new file mode 100644
index 000000000000..4d46e44a1e9a
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/docs/types/test.ts
@@ -0,0 +1,69 @@
+/*
+* @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 dcartesianProduct = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 2 ], {
+		'dtype': 'float64'
+	});
+	const y = zeros( [ 2 ], {
+		'dtype': 'float64'
+	});
+	const out = zeros( [ 4, 2 ], {
+		'dtype': 'float64'
+	});
+
+	dcartesianProduct( [ x, y, out ] ); // $ExpectType float64ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	dcartesianProduct( '10' ); // $ExpectError
+	dcartesianProduct( 10 ); // $ExpectError
+	dcartesianProduct( true ); // $ExpectError
+	dcartesianProduct( false ); // $ExpectError
+	dcartesianProduct( null ); // $ExpectError
+	dcartesianProduct( undefined ); // $ExpectError
+	dcartesianProduct( [] ); // $ExpectError
+	dcartesianProduct( {} ); // $ExpectError
+	dcartesianProduct( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 2 ], {
+		'dtype': 'float64'
+	});
+	const y = zeros( [ 2 ], {
+		'dtype': 'float64'
+	});
+	const out = zeros( [ 4, 2 ], {
+		'dtype': 'float64'
+	});
+
+	dcartesianProduct(); // $ExpectError
+	dcartesianProduct( [ x, y, out ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/examples/index.js
new file mode 100644
index 000000000000..a117bcd1a9e0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/examples/index.js
@@ -0,0 +1,39 @@
+/**
+* @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 zeros = require( '@stdlib/ndarray/zeros' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var dcartesianProduct = require( './../lib' );
+
+var opts = {
+	'dtype': 'float64'
+};
+
+var x = discreteUniform( [ 3 ], -50, 50, opts );
+console.log( ndarray2array( x ) );
+
+var y = discreteUniform( [ 2 ], -50, 50, opts );
+console.log( ndarray2array( y ) );
+
+var out = zeros( [ 6, 2 ], opts );
+
+var v = dcartesianProduct( [ x, y, out ] );
+console.log( ndarray2array( v ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/lib/index.js
new file mode 100644
index 000000000000..4fff449b46be
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/lib/index.js
@@ -0,0 +1,51 @@
+/**
+* @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';
+
+/**
+* Compute the Cartesian product for two double-precision floating-point ndarrays.
+*
+* @module @stdlib/blas/ext/base/ndarray/dcartesian-product
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var dcartesianProduct = require( '@stdlib/blas/ext/base/ndarray/dcartesian-product' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0 ] );
+* var y = new Float64Vector( [ 3.0, 4.0 ] );
+* var out = zeros( [ 4, 2 ], {
+*     'dtype': 'float64'
+* });
+*
+* var v = dcartesianProduct( [ x, y, out ] );
+* // returns <ndarray>[ [ 1.0, 3.0 ], [ 1.0, 4.0 ], [ 2.0, 3.0 ], [ 2.0, 4.0 ] ]
+*
+* var bool = ( v === out );
+* // returns true
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/lib/main.js
new file mode 100644
index 000000000000..1b3050b324c0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/lib/main.js
@@ -0,0 +1,82 @@
+/**
+* @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 getStrides = require( '@stdlib/ndarray/base/strides' );
+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/dcartesian-product' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the Cartesian product for two double-precision floating-point ndarrays.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a one-dimensional input ndarray.
+*     -   a two-dimensional output ndarray.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {Object} output ndarray
+*
+* @example
+* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+*
+* var x = new Float64Vector( [ 1.0, 2.0 ] );
+* var y = new Float64Vector( [ 3.0, 4.0 ] );
+* var out = zeros( [ 4, 2 ], {
+*     'dtype': 'float64'
+* });
+*
+* var v = dcartesianProduct( [ x, y, out ] );
+* // returns <ndarray>[ [ 1.0, 3.0 ], [ 1.0, 4.0 ], [ 2.0, 3.0 ], [ 2.0, 4.0 ] ]
+*
+* var bool = ( v === out );
+* // returns true
+*/
+function dcartesianProduct( arrays ) {
+	var out;
+	var so;
+	var x;
+	var y;
+
+	x = arrays[ 0 ];
+	y = arrays[ 1 ];
+	out = arrays[ 2 ];
+
+	so = getStrides( out, false );
+
+	strided( numelDimension( x, 0 ), numelDimension( y, 0 ), getData( x ), getStride( x, 0 ), getOffset( x ), getData( y ), getStride( y, 0 ), getOffset( y ), getData( out ), so[ 0 ], so[ 1 ], getOffset( out ) ); // eslint-disable-line max-len
+	return out;
+}
+
+
+// EXPORTS //
+
+module.exports = dcartesianProduct;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/package.json
new file mode 100644
index 000000000000..2659392304cd
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/package.json
@@ -0,0 +1,69 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/dcartesian-product",
+  "version": "0.0.0",
+  "description": "Compute the Cartesian product for two double-precision floating-point ndarrays.",
+  "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",
+    "blas",
+    "extended",
+    "ext",
+    "linear",
+    "algebra",
+    "cartesian",
+    "product",
+    "pairs",
+    "tuples",
+    "array",
+    "ndarray",
+    "float64",
+    "double",
+    "float64array"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.js
new file mode 100644
index 000000000000..3073159e2c99
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/test/test.js
@@ -0,0 +1,285 @@
+/**
+* @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 isSameFloat64Array = require( '@stdlib/assert/is-same-float64array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var dcartesianProduct = require( './../lib' );
+
+
+// FUNCTIONS //
+
+/**
+* Returns a one-dimensional ndarray.
+*
+* @private
+* @param {Collection} buffer - underlying data buffer
+* @param {NonNegativeInteger} N - number of elements
+* @param {integer} stride - stride
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} one-dimensional ndarray
+*/
+function vector( buffer, N, stride, offset ) {
+	return new ndarray( 'float64', buffer, [ N ], [ stride ], offset, 'row-major' );
+}
+
+/**
+* Returns a two-dimensional ndarray.
+*
+* @private
+* @param {Collection} buffer - underlying data buffer
+* @param {NonNegativeInteger} M - number of rows
+* @param {NonNegativeInteger} N - number of columns
+* @param {integer} stride0 - stride of the first dimension
+* @param {integer} stride1 - stride of the second dimension
+* @param {NonNegativeInteger} offset - index offset
+* @returns {ndarray} two-dimensional ndarray
+*/
+function matrix( buffer, M, N, stride0, stride1, offset ) {
+	return new ndarray( 'float64', buffer, [ M, N ], [ stride0, stride1 ], offset, 'row-major' );
+}
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof dcartesianProduct, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( dcartesianProduct.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function computes the Cartesian product (row-major)', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var y;
+	var v;
+
+	x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 );
+	y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 );
+	out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 );
+
+	v = dcartesianProduct( [ x, y, out ] );
+
+	expected = new Float64Array( [ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function computes the Cartesian product (row-major, M=3, N=2)', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var y;
+	var v;
+
+	x = vector( new Float64Array( [ 1.0, 2.0, 3.0 ] ), 3, 1, 0 );
+	y = vector( new Float64Array( [ 4.0, 5.0 ] ), 2, 1, 0 );
+	out = matrix( new Float64Array( 12 ), 6, 2, 2, 1, 0 );
+
+	v = dcartesianProduct( [ x, y, out ] );
+
+	expected = new Float64Array([
+		1.0,
+		4.0,
+		1.0,
+		5.0,
+		2.0,
+		4.0,
+		2.0,
+		5.0,
+		3.0,
+		4.0,
+		3.0,
+		5.0
+	]);
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function computes the Cartesian product (row-major, M=1, N=1)', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var y;
+	var v;
+
+	x = vector( new Float64Array( [ 5.0 ] ), 1, 1, 0 );
+	y = vector( new Float64Array( [ 7.0 ] ), 1, 1, 0 );
+	out = matrix( new Float64Array( 2 ), 1, 2, 2, 1, 0 );
+
+	v = dcartesianProduct( [ x, y, out ] );
+
+	expected = new Float64Array( [ 5.0, 7.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function computes the Cartesian product (column-major)', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var y;
+	var v;
+
+	x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 );
+	y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 );
+	out = matrix( new Float64Array( 8 ), 4, 2, 1, 4, 0 );
+
+	v = dcartesianProduct( [ x, y, out ] );
+
+	expected = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 3.0, 4.0, 3.0, 4.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns a reference to the output ndarray', function test( t ) {
+	var out;
+	var x;
+	var y;
+	var v;
+
+	x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 );
+	y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 );
+	out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 );
+
+	v = dcartesianProduct( [ x, y, out ] );
+
+	t.strictEqual( v, out, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided `M` or `N` less than or equal to `0`, the function returns the output ndarray unchanged', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var y;
+	var v;
+
+	out = matrix( new Float64Array( [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] ), 4, 2, 2, 1, 0 );
+	expected = new Float64Array( [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] );
+
+	x = vector( new Float64Array( [ 1.0, 2.0 ] ), 0, 1, 0 );
+	y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 );
+
+	v = dcartesianProduct( [ x, y, out ] );
+
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 );
+	y = vector( new Float64Array( [ 3.0, 4.0 ] ), 0, 1, 0 );
+
+	v = dcartesianProduct( [ x, y, out ] );
+
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function supports input ndarrays with strides', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var y;
+	var v;
+
+	x = vector( new Float64Array( [ 1.0, 0.0, 2.0, 0.0 ] ), 2, 2, 0 );
+	y = vector( new Float64Array( [ 3.0, 0.0, 4.0, 0.0 ] ), 2, 2, 0 );
+	out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 );
+
+	v = dcartesianProduct( [ x, y, out ] );
+
+	expected = new Float64Array( [ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports input ndarrays with negative strides', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var y;
+	var v;
+
+	x = vector( new Float64Array( [ 2.0, 1.0 ] ), 2, -1, 1 );
+	y = vector( new Float64Array( [ 4.0, 3.0 ] ), 2, -1, 1 );
+	out = matrix( new Float64Array( 8 ), 4, 2, 2, 1, 0 );
+
+	v = dcartesianProduct( [ x, y, out ] );
+
+	expected = new Float64Array( [ 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays having non-zero offsets', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var y;
+	var v;
+
+	x = vector( new Float64Array( [ 99.0, 1.0, 2.0 ] ), 2, 1, 1 );
+	y = vector( new Float64Array( [ 99.0, 3.0, 4.0 ] ), 2, 1, 1 );
+	out = matrix( new Float64Array( 10 ), 4, 2, 2, 1, 2 );
+
+	v = dcartesianProduct( [ x, y, out ] );
+
+	expected = new Float64Array( [ 0.0, 0.0, 1.0, 3.0, 1.0, 4.0, 2.0, 3.0, 2.0, 4.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports output ndarrays with negative strides', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var y;
+	var v;
+
+	x = vector( new Float64Array( [ 1.0, 2.0 ] ), 2, 1, 0 );
+	y = vector( new Float64Array( [ 3.0, 4.0 ] ), 2, 1, 0 );
+	out = matrix( new Float64Array( 8 ), 4, 2, -2, 1, 6 );
+
+	v = dcartesianProduct( [ x, y, out ] );
+
+	expected = new Float64Array( [ 2.0, 4.0, 2.0, 3.0, 1.0, 4.0, 1.0, 3.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat64Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});

From 2b18608edcc64305708d6c4127d83bd4078dc4e5 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Sun, 30 Aug 2026 15:24:36 +0500
Subject: [PATCH 2/2] refactor: apply suggestions from code review

---
 .../dcartesian-product/benchmark/benchmark.js | 19 ++++++++++---------
 1 file changed, 10 insertions(+), 9 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/benchmark.js
index f006f3012e19..57cdddefd590 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/dcartesian-product/benchmark/benchmark.js
@@ -30,6 +30,13 @@ var pkg = require( './../package.json' ).name;
 var dcartesianProduct = require( './../lib' );
 
 
+// VARIABLES //
+
+var options = {
+	'dtype': 'float64'
+};
+
+
 // FUNCTIONS //
 
 /**
@@ -44,15 +51,9 @@ function createBenchmark( len ) {
 	var x;
 	var y;
 
-	x = uniform( [ len ], -100.0, 100.0, {
-		'dtype': 'float64'
-	});
-	y = uniform( [ len ], -100.0, 100.0, {
-		'dtype': 'float64'
-	});
-	out = zeros( [ len*len, 2 ], {
-		'dtype': 'float64'
-	});
+	x = uniform( [ len ], -100.0, 100.0, options );
+	y = uniform( [ len ], -100.0, 100.0, options );
+	out = zeros( [ len*len, 2 ], options );
 
 	return benchmark;