From 210544cdb6c0a0611d3ed3164d0bb95dca0aa248 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Wed, 14 Oct 2026 12:21:17 +0500
Subject: [PATCH 1/2] feat: add blas/ext/base/ndarray/scartesian-power

---
 .../base/ndarray/scartesian-power/README.md   | 136 +++++++
 .../scartesian-power/benchmark/benchmark.js   | 116 ++++++
 .../ndarray/scartesian-power/docs/repl.txt    |  39 ++
 .../scartesian-power/docs/types/index.d.ts    |  64 +++
 .../scartesian-power/docs/types/test.ts       |  70 ++++
 .../scartesian-power/examples/index.js        |  41 ++
 .../ndarray/scartesian-power/lib/index.js     |  55 +++
 .../base/ndarray/scartesian-power/lib/main.js |  87 +++++
 .../ndarray/scartesian-power/package.json     |  69 ++++
 .../ndarray/scartesian-power/test/test.js     | 368 ++++++++++++++++++
 10 files changed, 1045 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/README.md
new file mode 100644
index 000000000000..201aae2db307
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/README.md
@@ -0,0 +1,136 @@
+<!--
+
+@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.
+
+-->
+
+# scartesianPower
+
+> Compute the Cartesian power for a single-precision floating-point ndarray.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var scartesianPower = require( '@stdlib/blas/ext/base/ndarray/scartesian-power' );
+```
+
+#### scartesianPower( arrays )
+
+Computes the Cartesian power for a single-precision floating-point ndarray.
+
+```javascript
+var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+
+var x = new Float32Vector( [ 1.0, 2.0 ] );
+var out = zeros( [ 4, 2 ], {
+    'dtype': 'float32'
+});
+
+var k = scalar2ndarray( 2, {
+    'dtype': 'generic'
+});
+
+var v = scartesianPower( [ x, out, k ] );
+// returns <ndarray>[ [ 1.0, 1.0 ], [ 1.0, 2.0 ], [ 2.0, 1.0 ], [ 2.0, 2.0 ] ]
+
+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 two-dimensional output ndarray.
+    -   a zero-dimensional ndarray specifying the power.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   `k`-tuples are stored as rows in the output matrix, where the `j`-th column contains the `j`-th element of each tuple.
+-   For an input array of length `N`, the output array should have shape `[N^k, k]`, where `N^k` is the number of rows and `k` is the number of columns.
+-   If `N <= 0` or `k <= 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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var scartesianPower = require( '@stdlib/blas/ext/base/ndarray/scartesian-power' );
+
+var opts = {
+    'dtype': 'float32'
+};
+
+var x = discreteUniform( [ 3 ], -50, 50, opts );
+console.log( ndarray2array( x ) );
+
+var out = zeros( [ 9, 2 ], opts );
+
+var k = scalar2ndarray( 2, {
+    'dtype': 'generic'
+});
+
+var v = scartesianPower( [ x, out, k ] );
+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/scartesian-power/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/benchmark/benchmark.js
new file mode 100644
index 000000000000..724f982b7298
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/benchmark/benchmark.js
@@ -0,0 +1,116 @@
+/**
+* @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 isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var pkg = require( './../package.json' ).name;
+var scartesianPower = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+var K = 2;
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var out;
+	var x;
+	var k;
+
+	x = uniform( [ len ], -100.0, 100.0, options );
+	out = zeros( [ pow( len, K ), K ], options );
+
+	k = scalar2ndarray( K, {
+		'dtype': 'generic'
+	});
+
+	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 = scartesianPower( [ x, out, k ] );
+			if ( typeof v !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnanf( v.get( i%pow( len, K ), i%K ) ) ) {
+			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/scartesian-power/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/repl.txt
new file mode 100644
index 000000000000..4c02768eed54
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/repl.txt
@@ -0,0 +1,39 @@
+
+{{alias}}( arrays )
+    Computes the Cartesian power for a single-precision floating-point ndarray.
+
+    `k`-tuples are stored as rows in the output matrix, where the `j`-th column
+    contains the `j`-th element of each tuple.
+
+    For an input array of length `N`, the output array should have shape
+    [N^k, k], where `N^k` is the number of rows and `k` is the number of
+    columns.
+
+    If `N <= 0` or `k <= 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 two-dimensional output ndarray.
+        - a zero-dimensional ndarray specifying the power.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var x = new {{alias:@stdlib/ndarray/vector/float32}}( [ 1.0, 2.0 ] );
+    > var out = {{alias:@stdlib/ndarray/zeros}}( [ 4, 2 ], { 'dtype': 'float32' } );
+    > var k = {{alias:@stdlib/ndarray/from-scalar}}( 2, { 'dtype': 'generic' } );
+    > {{alias}}( [ x, out, k ] );
+    > out
+    <ndarray>[ [ 1.0, 1.0 ], [ 1.0, 2.0 ], [ 2.0, 1.0 ], [ 2.0, 2.0 ] ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/types/index.d.ts
new file mode 100644
index 000000000000..9194f7bf2e66
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/types/index.d.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.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { float32ndarray, typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Computes the Cartesian power for a single-precision floating-point ndarray.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a two-dimensional output ndarray.
+*     -   a zero-dimensional ndarray specifying the power.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns output ndarray
+*
+* @example
+* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Float32Vector( [ 1.0, 2.0 ] );
+* var out = zeros( [ 4, 2 ], {
+*     'dtype': 'float32'
+* });
+*
+* var k = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var v = scartesianPower( [ x, out, k ] );
+* // returns <ndarray>[ [ 1.0, 1.0 ], [ 1.0, 2.0 ], [ 2.0, 1.0 ], [ 2.0, 2.0 ] ]
+*
+* var bool = ( v === out );
+* // returns true
+*/
+declare function scartesianPower( arrays: [ float32ndarray, float32ndarray, typedndarray<number> ] ): float32ndarray;
+
+
+// EXPORTS //
+
+export = scartesianPower;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/types/test.ts
new file mode 100644
index 000000000000..13d0dfdf0fad
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/types/test.ts
@@ -0,0 +1,70 @@
+/*
+* @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 scartesianPower = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 2 ], {
+		'dtype': 'float32'
+	});
+	const out = zeros( [ 4, 2 ], {
+		'dtype': 'float32'
+	});
+	const k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	scartesianPower( [ x, out, k ] ); // $ExpectType float32ndarray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	scartesianPower( '10' ); // $ExpectError
+	scartesianPower( 10 ); // $ExpectError
+	scartesianPower( true ); // $ExpectError
+	scartesianPower( false ); // $ExpectError
+	scartesianPower( null ); // $ExpectError
+	scartesianPower( undefined ); // $ExpectError
+	scartesianPower( [] ); // $ExpectError
+	scartesianPower( {} ); // $ExpectError
+	scartesianPower( ( 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': 'float32'
+	});
+	const out = zeros( [ 4, 2 ], {
+		'dtype': 'float32'
+	});
+	const k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+
+	scartesianPower(); // $ExpectError
+	scartesianPower( [ x, out, k ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/examples/index.js
new file mode 100644
index 000000000000..13e0286f4d3e
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/examples/index.js
@@ -0,0 +1,41 @@
+/**
+* @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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var scartesianPower = require( './../lib' );
+
+var opts = {
+	'dtype': 'float32'
+};
+
+var x = discreteUniform( [ 3 ], -50, 50, opts );
+console.log( ndarray2array( x ) );
+
+var out = zeros( [ 9, 2 ], opts );
+
+var k = scalar2ndarray( 2, {
+	'dtype': 'generic'
+});
+
+var v = scartesianPower( [ x, out, k ] );
+console.log( ndarray2array( v ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/lib/index.js
new file mode 100644
index 000000000000..24e1bb7c8fa7
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/lib/index.js
@@ -0,0 +1,55 @@
+/**
+* @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 power for a single-precision floating-point ndarray.
+*
+* @module @stdlib/blas/ext/base/ndarray/scartesian-power
+*
+* @example
+* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var scartesianPower = require( '@stdlib/blas/ext/base/ndarray/scartesian-power' );
+*
+* var x = new Float32Vector( [ 1.0, 2.0 ] );
+* var out = zeros( [ 4, 2 ], {
+*     'dtype': 'float32'
+* });
+*
+* var k = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var v = scartesianPower( [ x, out, k ] );
+* // returns <ndarray>[ [ 1.0, 1.0 ], [ 1.0, 2.0 ], [ 2.0, 1.0 ], [ 2.0, 2.0 ] ]
+*
+* 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/scartesian-power/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/lib/main.js
new file mode 100644
index 000000000000..af15191f0e21
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/lib/main.js
@@ -0,0 +1,87 @@
+/**
+* @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 ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
+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/scartesian-power' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Computes the Cartesian power for a single-precision floating-point ndarray.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a two-dimensional output ndarray.
+*     -   a zero-dimensional ndarray specifying the power.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {Object} output ndarray
+*
+* @example
+* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Float32Vector( [ 1.0, 2.0 ] );
+* var out = zeros( [ 4, 2 ], {
+*     'dtype': 'float32'
+* });
+*
+* var k = scalar2ndarray( 2, {
+*     'dtype': 'generic'
+* });
+*
+* var v = scartesianPower( [ x, out, k ] );
+* // returns <ndarray>[ [ 1.0, 1.0 ], [ 1.0, 2.0 ], [ 2.0, 1.0 ], [ 2.0, 2.0 ] ]
+*
+* var bool = ( v === out );
+* // returns true
+*/
+function scartesianPower( arrays ) {
+	var out;
+	var so;
+	var x;
+	var k;
+
+	x = arrays[ 0 ];
+	out = arrays[ 1 ];
+	k = ndarraylike2scalar( arrays[ 2 ] );
+
+	so = getStrides( out, false );
+
+	strided( numelDimension( x, 0 ), k, getData( x ), getStride( x, 0 ), getOffset( x ), getData( out ), so[ 0 ], so[ 1 ], getOffset( out ) ); // eslint-disable-line max-len
+	return out;
+}
+
+
+// EXPORTS //
+
+module.exports = scartesianPower;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/package.json
new file mode 100644
index 000000000000..ced238ebd862
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/package.json
@@ -0,0 +1,69 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/scartesian-power",
+  "version": "0.0.0",
+  "description": "Compute the Cartesian power for a single-precision floating-point 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",
+    "blas",
+    "extended",
+    "ext",
+    "linear",
+    "algebra",
+    "cartesian",
+    "power",
+    "tuples",
+    "product",
+    "array",
+    "ndarray",
+    "float32",
+    "single",
+    "float32array"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/test/test.js
new file mode 100644
index 000000000000..157a69f005d9
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/test/test.js
@@ -0,0 +1,368 @@
+/**
+* @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 isSameFloat32Array = require( '@stdlib/assert/is-same-float32array' );
+var Float32Array = require( '@stdlib/array/float32' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var scartesianPower = 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( 'float32', 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( 'float32', 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 scartesianPower, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( scartesianPower.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function computes the Cartesian power (row-major, k=2)', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var k;
+	var v;
+
+	x = vector( new Float32Array( [ 1.0, 2.0 ] ), 2, 1, 0 );
+	out = matrix( new Float32Array( 8 ), 4, 2, 2, 1, 0 );
+
+	k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	expected = new Float32Array( [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function computes the Cartesian power (row-major, k=3)', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var k;
+	var v;
+
+	x = vector( new Float32Array( [ 1.0, 2.0 ] ), 2, 1, 0 );
+	out = matrix( new Float32Array( 24 ), 8, 3, 3, 1, 0 );
+
+	k = scalar2ndarray( 3, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	expected = new Float32Array([
+		1.0,
+		1.0,
+		1.0,
+		1.0,
+		1.0,
+		2.0,
+		1.0,
+		2.0,
+		1.0,
+		1.0,
+		2.0,
+		2.0,
+		2.0,
+		1.0,
+		1.0,
+		2.0,
+		1.0,
+		2.0,
+		2.0,
+		2.0,
+		1.0,
+		2.0,
+		2.0,
+		2.0
+	]);
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function computes the Cartesian power (row-major, N=3, k=2)', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var k;
+	var v;
+
+	x = vector( new Float32Array( [ 1.0, 2.0, 3.0 ] ), 3, 1, 0 );
+	out = matrix( new Float32Array( 18 ), 9, 2, 2, 1, 0 );
+
+	k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	expected = new Float32Array([
+		1.0,
+		1.0,
+		1.0,
+		2.0,
+		1.0,
+		3.0,
+		2.0,
+		1.0,
+		2.0,
+		2.0,
+		2.0,
+		3.0,
+		3.0,
+		1.0,
+		3.0,
+		2.0,
+		3.0,
+		3.0
+	]);
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function computes the Cartesian power (row-major, N=1, k=1)', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var k;
+	var v;
+
+	x = vector( new Float32Array( [ 5.0 ] ), 1, 1, 0 );
+	out = matrix( new Float32Array( 1 ), 1, 1, 1, 1, 0 );
+
+	k = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	expected = new Float32Array( [ 5.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function computes the Cartesian power (column-major)', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var k;
+	var v;
+
+	x = vector( new Float32Array( [ 1.0, 2.0 ] ), 2, 1, 0 );
+	out = matrix( new Float32Array( 8 ), 4, 2, 1, 4, 0 );
+
+	k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	expected = new Float32Array( [ 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 1.0, 2.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( 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 k;
+	var v;
+
+	x = vector( new Float32Array( [ 1.0, 2.0 ] ), 2, 1, 0 );
+	out = matrix( new Float32Array( 8 ), 4, 2, 2, 1, 0 );
+
+	k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	t.strictEqual( v, out, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided `N` or `k` less than or equal to `0`, the function returns the output ndarray unchanged', function test( t ) {
+	var expected;
+	var out;
+	var x;
+	var k;
+	var v;
+
+	out = matrix( new Float32Array( [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] ), 4, 2, 2, 1, 0 );
+	expected = new Float32Array( [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] );
+
+	x = vector( new Float32Array( [ 1.0, 2.0 ] ), 0, 1, 0 );
+
+	k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+
+	x = vector( new Float32Array( [ 1.0, 2.0 ] ), 2, 1, 0 );
+
+	k = scalar2ndarray( 0, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+
+	k = scalar2ndarray( -1, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( 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 k;
+	var v;
+
+	x = vector( new Float32Array( [ 1.0, 0.0, 2.0, 0.0 ] ), 2, 2, 0 );
+	out = matrix( new Float32Array( 8 ), 4, 2, 2, 1, 0 );
+
+	k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	expected = new Float32Array( [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( 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 k;
+	var v;
+
+	x = vector( new Float32Array( [ 2.0, 1.0 ] ), 2, -1, 1 );
+	out = matrix( new Float32Array( 8 ), 4, 2, 2, 1, 0 );
+
+	k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	expected = new Float32Array( [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( 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 k;
+	var v;
+
+	x = vector( new Float32Array( [ 99.0, 1.0, 2.0 ] ), 2, 1, 1 );
+	out = matrix( new Float32Array( 10 ), 4, 2, 2, 1, 2 );
+
+	k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	expected = new Float32Array( [ 0.0, 0.0, 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( 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 k;
+	var v;
+
+	x = vector( new Float32Array( [ 1.0, 2.0 ] ), 2, 1, 0 );
+	out = matrix( new Float32Array( 8 ), 4, 2, -2, 1, 6 );
+
+	k = scalar2ndarray( 2, {
+		'dtype': 'generic'
+	});
+	v = scartesianPower( [ x, out, k ] );
+
+	expected = new Float32Array( [ 2.0, 2.0, 2.0, 1.0, 1.0, 2.0, 1.0, 1.0 ] );
+	t.strictEqual( v, out, 'returns expected value' );
+	t.strictEqual( isSameFloat32Array( getData( v ), expected ), true, 'returns expected value' );
+	t.end();
+});

From 88068c196d054056782d1d3ceacae3565dd6244c Mon Sep 17 00:00:00 2001
From: Athan <kgryte@gmail.com>
Date: Wed, 14 Oct 2026 13:43:55 +0200
Subject: [PATCH 2/2] Apply batched suggestions from code review

Co-authored-by: Athan <kgryte@gmail.com>
Signed-off-by: Athan <kgryte@gmail.com>
---
 .../@stdlib/blas/ext/base/ndarray/scartesian-power/README.md    | 2 +-
 .../blas/ext/base/ndarray/scartesian-power/docs/repl.txt        | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/README.md
index 201aae2db307..45c462fe1355 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/README.md
@@ -77,7 +77,7 @@ The function has the following parameters:
 
 ## Notes
 
--   `k`-tuples are stored as rows in the output matrix, where the `j`-th column contains the `j`-th element of each tuple.
+-   Tuples are stored as rows in the output matrix, where the `j`-th column contains the `j`-th element of each tuple.
 -   For an input array of length `N`, the output array should have shape `[N^k, k]`, where `N^k` is the number of rows and `k` is the number of columns.
 -   If `N <= 0` or `k <= 0`, the function returns the output ndarray unchanged.
 
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/repl.txt
index 4c02768eed54..481862cd1289 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/scartesian-power/docs/repl.txt
@@ -2,7 +2,7 @@
 {{alias}}( arrays )
     Computes the Cartesian power for a single-precision floating-point ndarray.
 
-    `k`-tuples are stored as rows in the output matrix, where the `j`-th column
+    Tuples are stored as rows in the output matrix, where the `j`-th column
     contains the `j`-th element of each tuple.
 
     For an input array of length `N`, the output array should have shape