diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/README.md b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/README.md
new file mode 100644
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--- /dev/null
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+
+
+# gcartesianPower
+
+> Compute the Cartesian power for a strided array.
+
+
+
+## Usage
+
+```javascript
+var gcartesianPower = require( '@stdlib/blas/ext/base/gcartesian-power' );
+```
+
+#### gcartesianPower( order, N, k, x, strideX, out, LDO )
+
+Computes the Cartesian power for a strided array.
+
+```javascript
+var x = [ 1.0, 2.0 ];
+var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+gcartesianPower( 'row-major', x.length, 2, x, 1, out, 2 );
+// out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+```
+
+The function has the following parameters:
+
+- **order**: storage layout. Must be either `'row-major'` or `'column-major'`.
+- **N**: number of indexed elements.
+- **k**: power.
+- **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
+- **strideX**: stride length for `x`.
+- **out**: output [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
+- **LDO**: stride length between successive contiguous vectors of the matrix `out` (a.k.a., leading dimension of `out`).
+
+The `N`, `k`, and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the Cartesian power of every other element:
+
+```javascript
+var x = [ 1.0, 0.0, 2.0, 0.0 ];
+var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+gcartesianPower( 'row-major', 2, 2, x, 2, out, 2 );
+// out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+```javascript
+var Float64Array = require( '@stdlib/array/float64' );
+
+// Initial array:
+var x0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] );
+
+// Create an offset view:
+var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+// Output array:
+var out = new Float64Array( 8 );
+
+gcartesianPower( 'row-major', 2, 2, x1, 1, out, 2 );
+// out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+```
+
+
+
+#### gcartesianPower.ndarray( N, k, x, strideX, offsetX, out, strideOut1, strideOut2, offsetOut )
+
+
+
+Computes the Cartesian power for a strided array using alternative indexing semantics.
+
+```javascript
+var x = [ 1.0, 2.0 ];
+var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, 0 );
+// out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+```
+
+The function has the following parameters:
+
+- **N**: number of indexed elements.
+- **k**: power.
+- **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
+- **strideX**: stride length for `x`.
+- **offsetX**: starting index for `x`.
+- **out**: output [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
+- **strideOut1**: stride length for the first dimension of `out`.
+- **strideOut2**: stride length for the second dimension of `out`.
+- **offsetOut**: starting index for `out`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to access only the last two elements:
+
+```javascript
+var x = [ 0.0, 0.0, 1.0, 2.0 ];
+var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+
+gcartesianPower.ndarray( 2, 2, x, 1, 2, out, 2, 1, 0 );
+// out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+```
+
+
+
+
+
+
+
+## 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 must contain at least `N^k * k` indexed elements.
+- For row-major order, the `LDO` parameter must be greater than or equal to `max(1,k)`. For column-major order, the `LDO` parameter must be greater than or equal to `max(1,N^k)`.
+- If `N <= 0` or `k <= 0`, both functions return `out` unchanged.
+- Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
+- Depending on the environment, the typed versions ([`dcartesianPower`][@stdlib/blas/ext/base/dcartesian-power], [`scartesianPower`][@stdlib/blas/ext/base/scartesian-power], etc.) are likely to be significantly more performant.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var zeros = require( '@stdlib/array/zeros' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var gcartesianPower = require( '@stdlib/blas/ext/base/gcartesian-power' );
+
+var N = 2;
+var k = 3;
+var x = discreteUniform( N, 1, 10, {
+ 'dtype': 'generic'
+});
+console.log( x );
+
+var out = zeros( pow( N, k ) * k, 'generic' );
+gcartesianPower( 'row-major', N, k, x, 1, out, k );
+console.log( out );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[mdn-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Array
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
+[@stdlib/blas/ext/base/dcartesian-power]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dcartesian-power
+
+[@stdlib/blas/ext/base/scartesian-power]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/scartesian-power
+
+
+
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/benchmark/benchmark.js
new file mode 100644
index 000000000000..82b32818f878
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/benchmark/benchmark.js
@@ -0,0 +1,109 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var zeros = require( '@stdlib/array/zeros' );
+var isArray = require( '@stdlib/assert/is-array' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var gcartesianPower = require( './../lib/main.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'generic'
+};
+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;
+
+ x = uniform( len, -10.0, 10.0, options );
+ out = zeros( pow( len, K ) * K, options.dtype );
+ 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 = gcartesianPower( 'row-major', x.length, K, x, 1, out, K );
+ if ( !isArray( v ) ) {
+ b.fail( 'should return an array' );
+ }
+ }
+ b.toc();
+ if ( !isArray( v ) ) {
+ b.fail( 'should return an array' );
+ }
+ 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/gcartesian-power/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..cec4ff81dbfe
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/benchmark/benchmark.ndarray.js
@@ -0,0 +1,109 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var zeros = require( '@stdlib/array/zeros' );
+var isArray = require( '@stdlib/assert/is-array' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var gcartesianPower = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'generic'
+};
+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;
+
+ x = uniform( len, -10.0, 10.0, options );
+ out = zeros( pow( len, K ) * K, options.dtype );
+ 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 = gcartesianPower( x.length, K, x, 1, 0, out, K, 1, 0 );
+ if ( !isArray( v ) ) {
+ b.fail( 'should return an array' );
+ }
+ }
+ b.toc();
+ if ( !isArray( v ) ) {
+ b.fail( 'should return an array' );
+ }
+ 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:ndarray:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/docs/repl.txt
new file mode 100644
index 000000000000..00d39597dab6
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/docs/repl.txt
@@ -0,0 +1,128 @@
+
+{{alias}}( order, N, k, x, strideX, out, LDO )
+ Computes the Cartesian power for a strided array.
+
+ `k`-tuples are stored as rows in the output matrix, where the `j`-th column
+ contains the `j`-th element of each tuple.
+
+ The `N`, `k`, and stride parameters determine which elements in the strided
+ arrays are accessed at runtime.
+
+ If `N <= 0` or `k <= 0`, the function returns `out` unchanged.
+
+ The function supports array-like objects having getter and setter accessors
+ for array element access.
+
+ Parameters
+ ----------
+ order: string
+ Row-major (C-style) or column-major (Fortran-style) order.
+
+ N: integer
+ Number of indexed elements.
+
+ k: integer
+ Power.
+
+ x: ArrayLikeObject
+ Input array.
+
+ strideX: integer
+ Stride length for `x`.
+
+ out: ArrayLikeObject
+ Output array.
+
+ LDO: integer
+ Stride length between successive contiguous vectors of the matrix `out`
+ (a.k.a., leading dimension of `out`).
+
+ Returns
+ -------
+ out: ArrayLikeObject
+ Output array.
+
+ Examples
+ --------
+ // Standard Usage:
+ > var x = [ 1.0, 2.0 ];
+ > var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ > {{alias}}( 'row-major', x.length, 2, x, 1, out, 2 )
+ [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+
+ // Using `N` and stride parameters:
+ > x = [ 1.0, 0.0, 2.0, 0.0 ];
+ > out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ > {{alias}}( 'row-major', 2, 2, x, 2, out, 2 )
+ [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+
+ // Using view offsets:
+ > var x0 = new {{alias:@stdlib/array/float64}}( [ 0.0, 1.0, 2.0, 3.0 ] );
+ > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
+ > out = new {{alias:@stdlib/array/float64}}( 8 );
+ > {{alias}}( 'row-major', 2, 2, x1, 1, out, 2 )
+ [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+
+
+{{alias}}.ndarray( N, k, x, sx, ox, out, so1, so2, oo )
+ Computes the Cartesian power for a strided array using alternative indexing
+ semantics.
+
+ `k`-tuples are stored as rows in the output matrix, where the `j`-th column
+ contains the `j`-th element of each tuple.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the offset parameters support indexing semantics based on starting
+ indices.
+
+ Parameters
+ ----------
+ N: integer
+ Number of indexed elements.
+
+ k: integer
+ Power.
+
+ x: ArrayLikeObject
+ Input array.
+
+ sx: integer
+ Stride length for `x`.
+
+ ox: integer
+ Starting index for `x`.
+
+ out: ArrayLikeObject
+ Output array.
+
+ so1: integer
+ Stride length for the first dimension of `out`.
+
+ so2: integer
+ Stride length for the second dimension of `out`.
+
+ oo: integer
+ Starting index for `out`.
+
+ Returns
+ -------
+ out: ArrayLikeObject
+ Output array.
+
+ Examples
+ --------
+ // Standard Usage:
+ > var x = [ 1.0, 2.0 ];
+ > var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ > {{alias}}.ndarray( x.length, 2, x, 1, 0, out, 2, 1, 0 )
+ [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+
+ // Using an index offset:
+ > x = [ 0.0, 0.0, 1.0, 2.0 ];
+ > out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ > {{alias}}.ndarray( 2, 2, x, 1, 2, out, 2, 1, 0 )
+ [ 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/gcartesian-power/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/docs/types/index.d.ts
new file mode 100644
index 000000000000..39301471765c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/docs/types/index.d.ts
@@ -0,0 +1,124 @@
+/*
+* @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
+
+///
+
+import { Collection, AccessorArrayLike } from '@stdlib/types/array';
+import { Layout } from '@stdlib/types/blas';
+
+/**
+* Input array.
+*/
+type InputArray = Collection | AccessorArrayLike;
+
+/**
+* Output array.
+*/
+type OutputArray = Collection | AccessorArrayLike;
+
+/**
+* Interface describing `gcartesianPower`.
+*/
+interface Routine {
+ /**
+ * Computes the Cartesian power for a strided array.
+ *
+ * ## Notes
+ *
+ * - `k`-tuples are stored as rows in the output matrix, where the `j`-th column contains the `j`-th element of each tuple.
+ *
+ * @param order - storage layout
+ * @param N - number of indexed elements
+ * @param k - power
+ * @param x - input array
+ * @param strideX - stride length for `x`
+ * @param out - output array
+ * @param LDO - stride length between successive contiguous vectors of the matrix `out` (a.k.a., leading dimension of `out`)
+ * @returns output array
+ *
+ * @example
+ * var x = [ 1.0, 2.0 ];
+ * var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ *
+ * gcartesianPower( 'row-major', x.length, 2, x, 1, out, 2 );
+ * // out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+ */
+ = OutputArray>( order: Layout, N: number, k: number, x: InputArray, strideX: number, out: U, LDO: number ): U;
+
+ /**
+ * Computes the Cartesian power for a strided array using alternative indexing semantics.
+ *
+ * ## Notes
+ *
+ * - `k`-tuples are stored as rows in the output matrix, where the `j`-th column contains the `j`-th element of each tuple.
+ *
+ * @param N - number of indexed elements
+ * @param k - power
+ * @param x - input array
+ * @param strideX - stride length for `x`
+ * @param offsetX - starting index for `x`
+ * @param out - output array
+ * @param strideOut1 - stride length for the first dimension of `out`
+ * @param strideOut2 - stride length for the second dimension of `out`
+ * @param offsetOut - starting index for `out`
+ * @returns output array
+ *
+ * @example
+ * var x = [ 1.0, 2.0 ];
+ * var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ *
+ * gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, 0 );
+ * // out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+ */
+ ndarray = OutputArray>( N: number, k: number, x: InputArray, strideX: number, offsetX: number, out: U, strideOut1: number, strideOut2: number, offsetOut: number ): U;
+}
+
+/**
+* Computes the Cartesian power for a strided array.
+*
+* @param order - storage layout
+* @param N - number of indexed elements
+* @param k - power
+* @param x - input array
+* @param strideX - stride length for `x`
+* @param out - output array
+* @param LDO - stride length between successive contiguous vectors of the matrix `out` (a.k.a., leading dimension of `out`)
+* @returns output array
+*
+* @example
+* var x = [ 1.0, 2.0 ];
+* var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+*
+* gcartesianPower( 'row-major', x.length, 2, x, 1, out, 2 );
+* // out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+*
+* @example
+* var x = [ 1.0, 2.0 ];
+* var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+*
+* gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, 0 );
+* // out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+*/
+declare var gcartesianPower: Routine;
+
+
+// EXPORTS //
+
+export = gcartesianPower;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/docs/types/test.ts
new file mode 100644
index 000000000000..e91cb9f14f24
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/docs/types/test.ts
@@ -0,0 +1,307 @@
+/*
+* @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 AccessorArray = require( '@stdlib/array/base/accessor' );
+import gcartesianPower = require( './index' );
+
+
+// TESTS //
+
+// The function returns a collection...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, 2 ); // $ExpectType Float64Array
+ gcartesianPower( 'row-major', x.length, 2, new AccessorArray( x ), 1, new AccessorArray( out ), 2 ); // $ExpectType AccessorArray
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a valid order...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower( 10, x.length, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( true, x.length, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( false, x.length, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( null, x.length, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( undefined, x.length, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( [], x.length, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( {}, x.length, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( ( x: number ): number => x, x.length, 2, x, 1, out, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower( 'row-major', '10', 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', true, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', false, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', null, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', undefined, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', [], 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', {}, 2, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', ( x: number ): number => x, 2, x, 1, out, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower( 'row-major', x.length, '10', x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, true, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, false, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, null, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, undefined, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, [], x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, {}, x, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, ( x: number ): number => x, x, 1, out, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fourth argument which is not a collection...
+{
+ const out = new Float64Array( 8 );
+
+ gcartesianPower( 'row-major', 2, 2, 10, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', 2, 2, true, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', 2, 2, false, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', 2, 2, null, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', 2, 2, undefined, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', 2, 2, {}, 1, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', 2, 2, ( x: number ): number => x, 1, out, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a fifth argument which is not a number...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower( 'row-major', x.length, 2, x, '10', out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, true, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, false, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, null, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, undefined, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, [], out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, {}, out, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, ( x: number ): number => x, out, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a sixth argument which is not a collection...
+{
+ const x = new Float64Array( 2 );
+
+ gcartesianPower( 'row-major', x.length, 2, x, 1, 10, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, true, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, false, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, null, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, undefined, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, {}, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, ( x: number ): number => x, 2 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a seventh argument which is not a number...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, '10' ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, true ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, false ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, null ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, undefined ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, [] ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, {} ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower(); // $ExpectError
+ gcartesianPower( 'row-major' ); // $ExpectError
+ gcartesianPower( 'row-major', x.length ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1 ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out ); // $ExpectError
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, 2, 10 ); // $ExpectError
+}
+
+// Attached to the main export is an `ndarray` method which returns a collection...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, 0 ); // $ExpectType Float64Array
+ gcartesianPower.ndarray( x.length, 2, new AccessorArray( x ), 1, 0, new AccessorArray( out ), 2, 1, 0 ); // $ExpectType AccessorArray
+}
+
+// The compiler throws an error if the `ndarray` method is provided a first argument which is not a number...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower.ndarray( '10', 2, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( true, 2, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( false, 2, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( null, 2, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( undefined, 2, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( [], 2, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( {}, 2, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( ( x: number ): number => x, 2, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a second argument which is not a number...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower.ndarray( x.length, '10', x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, true, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, false, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, null, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, undefined, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, [], x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, {}, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, ( x: number ): number => x, x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a third argument which is not a collection...
+{
+ const out = new Float64Array( 8 );
+
+ gcartesianPower.ndarray( 2, 2, 10, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( 2, 2, true, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( 2, 2, false, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( 2, 2, null, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( 2, 2, undefined, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( 2, 2, {}, 1, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( 2, 2, ( x: number ): number => x, 1, 0, out, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a number...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower.ndarray( x.length, 2, x, '10', 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, true, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, false, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, null, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, undefined, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, [], 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, {}, 0, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, ( x: number ): number => x, 0, out, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fifth argument which is not a number...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower.ndarray( x.length, 2, x, 1, '10', out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, true, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, false, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, null, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, undefined, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, [], out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, {}, out, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, ( x: number ): number => x, out, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a sixth argument which is not a collection...
+{
+ const x = new Float64Array( 2 );
+
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, 10, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, true, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, false, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, null, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, undefined, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, {}, 2, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, ( x: number ): number => x, 2, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a seventh argument which is not a number...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, '10', 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, true, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, false, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, null, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, undefined, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, [], 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, {}, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an eighth argument which is not a number...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, '10', 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, true, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, false, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, null, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, undefined, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, [], 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, {}, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a ninth argument which is not a number...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, '10' ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, true ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, false ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, null ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, undefined ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, [] ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, {} ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const x = new Float64Array( 2 );
+ const out = new Float64Array( 8 );
+
+ gcartesianPower.ndarray(); // $ExpectError
+ gcartesianPower.ndarray( x.length ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1 ); // $ExpectError
+ gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/examples/index.js
new file mode 100644
index 000000000000..5a41286c65d0
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/examples/index.js
@@ -0,0 +1,35 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var zeros = require( '@stdlib/array/zeros' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var gcartesianPower = require( './../lib' );
+
+var N = 2;
+var k = 3;
+var x = discreteUniform( N, 1, 10, {
+ 'dtype': 'generic'
+});
+console.log( x );
+
+var out = zeros( pow( N, k ) * k, 'generic' );
+gcartesianPower( 'row-major', N, k, x, 1, out, k );
+console.log( out );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/accessors.js b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/accessors.js
new file mode 100644
index 000000000000..e3902c044d5b
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/accessors.js
@@ -0,0 +1,113 @@
+/**
+* @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 isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var pow = require( '@stdlib/math/base/special/pow' );
+
+
+// MAIN //
+
+/**
+* Computes the Cartesian power for a strided array using alternative indexing semantics.
+*
+* @private
+* @param {NonNegativeInteger} N - number of indexed elements
+* @param {NonNegativeInteger} k - power
+* @param {Object} x - input array object
+* @param {Collection} x.data - input array data
+* @param {Array} x.accessors - array element accessors
+* @param {integer} strideX - stride length for `x`
+* @param {NonNegativeInteger} offsetX - starting index for `x`
+* @param {Object} out - output array object
+* @param {Collection} out.data - output array data
+* @param {Array} out.accessors - array element accessors
+* @param {integer} strideOut1 - stride length for the first dimension of `out`
+* @param {integer} strideOut2 - stride length for the second dimension of `out`
+* @param {NonNegativeInteger} offsetOut - starting index for `out`
+* @returns {Object} output array object
+*
+* @example
+* var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+* var arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+*
+* var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+*
+* gcartesianPower( 2, 2, arraylike2object( toAccessorArray( [ 1.0, 2.0 ] ) ), 1, 0, arraylike2object( out ), 2, 1, 0 );
+* // out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+*/
+function gcartesianPower( N, k, x, strideX, offsetX, out, strideOut1, strideOut2, offsetOut ) { // eslint-disable-line max-len
+ var xbuf;
+ var obuf;
+ var xget;
+ var oset;
+ var len;
+ var oj;
+ var io;
+ var ix;
+ var sj;
+ var i;
+ var j;
+ var s;
+ var t;
+
+ // Cache references to array data:
+ xbuf = x.data;
+ obuf = out.data;
+
+ // Cache references to element accessors:
+ xget = x.accessors[ 0 ];
+ oset = out.accessors[ 1 ];
+
+ len = pow( N, k );
+ if ( isRowMajor( [ strideOut1, strideOut2 ] ) ) {
+ io = offsetOut;
+ for ( i = 0; i < len; i++ ) {
+ t = i;
+ for ( j = k-1; j >= 0; j-- ) {
+ s = t % N;
+ t = (t-s) / N;
+ ix = offsetX + (s*strideX);
+ oj = io + (j*strideOut2);
+ oset( obuf, oj, xget( xbuf, ix ) );
+ }
+ io += strideOut1;
+ }
+ } else { // isColMajor
+ sj = len;
+ for ( j = 0; j < k; j++ ) {
+ sj /= N;
+ io = offsetOut + (j*strideOut2);
+ for ( i = 0; i < len; i++ ) {
+ s = ((i-(i%sj))/sj) % N;
+ ix = offsetX + (s*strideX);
+ oset( obuf, io, xget( xbuf, ix ) );
+ io += strideOut1;
+ }
+ }
+ }
+ return out;
+}
+
+
+// EXPORTS //
+
+module.exports = gcartesianPower;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/index.js
new file mode 100644
index 000000000000..dc0a5fa3c2be
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/index.js
@@ -0,0 +1,59 @@
+/**
+* @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 strided array.
+*
+* @module @stdlib/blas/ext/base/gcartesian-power
+*
+* @example
+* var gcartesianPower = require( '@stdlib/blas/ext/base/gcartesian-power' );
+*
+* var x = [ 1.0, 2.0 ];
+* var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+*
+* gcartesianPower( 'row-major', x.length, 2, x, 1, out, 2 );
+* // out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+*
+* @example
+* var gcartesianPower = require( '@stdlib/blas/ext/base/gcartesian-power' );
+*
+* var x = [ 1.0, 2.0 ];
+* var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+*
+* gcartesianPower.ndarray( x.length, 2, x, 1, 0, out, 2, 1, 0 );
+* // out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'ndarray', ndarray );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/main.js
new file mode 100644
index 000000000000..eff9cc7b67d9
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/main.js
@@ -0,0 +1,81 @@
+/**
+* @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 isLayout = require( '@stdlib/blas/base/assert/is-layout' );
+var isColumnMajor = require( '@stdlib/ndarray/base/assert/is-column-major-string' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var max = require( '@stdlib/math/base/special/fast/max' );
+var format = require( '@stdlib/string/format' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+/**
+* Computes the Cartesian power for a strided array.
+*
+* @param {string} order - storage layout
+* @param {NonNegativeInteger} N - number of indexed elements
+* @param {NonNegativeInteger} k - power
+* @param {Collection} x - input array
+* @param {integer} strideX - stride length for `x`
+* @param {Collection} out - output array
+* @param {integer} LDO - stride length between successive contiguous vectors of the matrix `out` (a.k.a., leading dimension of `out`)
+* @throws {TypeError} first argument must be a valid order
+* @throws {RangeError} seventh argument must be a valid stride length
+* @returns {Collection} output array
+*
+* @example
+* var x = [ 1.0, 2.0 ];
+* var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+*
+* gcartesianPower( 'row-major', x.length, 2, x, 1, out, 2 );
+* // out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+*/
+function gcartesianPower( order, N, k, x, strideX, out, LDO ) {
+ var sa1;
+ var sa2;
+
+ if ( !isLayout( order ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
+ }
+ if ( isColumnMajor( order ) ) {
+ if ( LDO < max( 1, pow( N, k ) ) ) {
+ throw new RangeError( format( 'invalid argument. Seventh argument must be greater than or equal to max(1,%d). Value: `%d`.', pow( N, k ), LDO ) );
+ }
+ sa1 = 1;
+ sa2 = LDO;
+ } else { // order === 'row-major'
+ if ( LDO < max( 1, k ) ) {
+ throw new RangeError( format( 'invalid argument. Seventh argument must be greater than or equal to max(1,%d). Value: `%d`.', k, LDO ) );
+ }
+ sa1 = LDO;
+ sa2 = 1;
+ }
+ return ndarray( N, k, x, strideX, stride2offset( N, strideX ), out, sa1, sa2, 0 ); // eslint-disable-line max-len
+}
+
+
+// EXPORTS //
+
+module.exports = gcartesianPower;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/ndarray.js
new file mode 100644
index 000000000000..945c41169779
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/lib/ndarray.js
@@ -0,0 +1,111 @@
+/**
+* @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 arraylike2object = require( '@stdlib/array/base/arraylike2object' );
+var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var accessors = require( './accessors.js' );
+
+
+// MAIN //
+
+/**
+* Computes the Cartesian power for a strided array using alternative indexing semantics.
+*
+* ## Notes
+*
+* - `k`-tuples are stored as rows in the output matrix, where the `j`-th column contains the `j`-th element of each tuple.
+*
+* @param {NonNegativeInteger} N - number of indexed elements
+* @param {NonNegativeInteger} k - power
+* @param {Collection} x - input array
+* @param {integer} strideX - stride length for `x`
+* @param {NonNegativeInteger} offsetX - starting index for `x`
+* @param {Collection} out - output array
+* @param {integer} strideOut1 - stride length for the first dimension of `out`
+* @param {integer} strideOut2 - stride length for the second dimension of `out`
+* @param {NonNegativeInteger} offsetOut - starting index for `out`
+* @returns {Collection} output array
+*
+* @example
+* var x = [ 1.0, 2.0 ];
+* var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+*
+* gcartesianPower( x.length, 2, x, 1, 0, out, 2, 1, 0 );
+* // out => [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ]
+*/
+function gcartesianPower( N, k, x, strideX, offsetX, out, strideOut1, strideOut2, offsetOut ) { // eslint-disable-line max-len
+ var len;
+ var ox;
+ var oo;
+ var oj;
+ var io;
+ var ix;
+ var sj;
+ var i;
+ var j;
+ var s;
+ var t;
+
+ if ( N <= 0 || k <= 0 ) {
+ return out;
+ }
+ ox = arraylike2object( x );
+ oo = arraylike2object( out );
+ if ( ox.accessorProtocol || oo.accessorProtocol ) {
+ accessors( N, k, ox, strideX, offsetX, oo, strideOut1, strideOut2, offsetOut ); // eslint-disable-line max-len
+ return out;
+ }
+ len = pow( N, k );
+ if ( isRowMajor( [ strideOut1, strideOut2 ] ) ) {
+ io = offsetOut;
+ for ( i = 0; i < len; i++ ) {
+ t = i;
+ for ( j = k-1; j >= 0; j-- ) {
+ s = t % N;
+ t = (t-s) / N;
+ ix = offsetX + (s*strideX);
+ oj = io + (j*strideOut2);
+ out[ oj ] = x[ ix ];
+ }
+ io += strideOut1;
+ }
+ } else { // isColMajor
+ sj = len;
+ for ( j = 0; j < k; j++ ) {
+ sj /= N;
+ io = offsetOut + (j*strideOut2);
+ for ( i = 0; i < len; i++ ) {
+ s = ((i-(i%sj))/sj) % N;
+ ix = offsetX + (s*strideX);
+ out[ io ] = x[ ix ];
+ io += strideOut1;
+ }
+ }
+ }
+ return out;
+}
+
+
+// EXPORTS //
+
+module.exports = gcartesianPower;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/package.json b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/package.json
new file mode 100644
index 000000000000..9bdb33ebd643
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/package.json
@@ -0,0 +1,67 @@
+{
+ "name": "@stdlib/blas/ext/base/gcartesian-power",
+ "version": "0.0.0",
+ "description": "Compute the Cartesian power for a strided array.",
+ "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",
+ "cartesian",
+ "product",
+ "power",
+ "strided",
+ "array",
+ "ndarray",
+ "generic"
+ ],
+ "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/test/test.js
new file mode 100644
index 000000000000..d340bdfddcf1
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/test/test.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';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var gcartesianPower = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof gcartesianPower, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+ t.strictEqual( typeof gcartesianPower.ndarray, 'function', 'method is a function' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/test/test.main.js b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/test/test.main.js
new file mode 100644
index 000000000000..08ae4596a0ac
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/test/test.main.js
@@ -0,0 +1,672 @@
+/**
+* @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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var Float64Array = require( '@stdlib/array/float64' );
+var gcartesianPower = require( './../lib/main.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof gcartesianPower, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 7', function test( t ) {
+ t.strictEqual( gcartesianPower.length, 7, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function throws if the first argument is not a valid order', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ 'foo',
+ 'bar',
+ 1,
+ 0,
+ null,
+ true,
+ false,
+ void 0,
+ [],
+ {}
+ ];
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ var x = [ 1.0, 2.0 ];
+ gcartesianPower( value, x.length, 2, x, 1, out, 2 );
+ };
+ }
+});
+
+tape( 'the function throws if the seventh argument is less than max(1,k) for row-major order', function test( t ) {
+ t.throws( badValue, RangeError, 'throws a range error' );
+ t.end();
+
+ function badValue() {
+ var out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ var x = [ 1.0, 2.0 ];
+ gcartesianPower( 'row-major', x.length, 3, x, 1, out, 2 );
+ }
+});
+
+tape( 'the function throws if the seventh argument is less than max(1,N^k) for column-major order', function test( t ) {
+ t.throws( badValue, RangeError, 'throws a range error' );
+ t.end();
+
+ function badValue() {
+ var out = [
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+ var x = [ 1.0, 2.0, 3.0 ];
+ gcartesianPower( 'column-major', 3, 2, x, 1, out, 8 );
+ }
+});
+
+tape( 'the function computes the Cartesian power', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ // Row-major:
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, 2 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ x = [ 1.0, 2.0 ];
+ out = [
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+ expected = [
+ 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
+ ];
+
+ gcartesianPower( 'row-major', x.length, 3, x, 1, out, 3 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ x = [ 5.0 ];
+ out = [ 0.0 ];
+ expected = [ 5.0 ];
+
+ gcartesianPower( 'row-major', 1, 1, x, 1, out, 1 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ // Column-major:
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 1.0, 2.0 ];
+
+ gcartesianPower( 'column-major', x.length, 2, x, 1, out, 4 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ x = [ 1.0, 2.0 ];
+ out = [
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+ expected = [
+ 1.0,
+ 1.0,
+ 1.0,
+ 1.0,
+ 2.0,
+ 2.0,
+ 2.0,
+ 2.0,
+ 1.0,
+ 1.0,
+ 2.0,
+ 2.0,
+ 1.0,
+ 1.0,
+ 2.0,
+ 2.0,
+ 1.0,
+ 2.0,
+ 1.0,
+ 2.0,
+ 1.0,
+ 2.0,
+ 1.0,
+ 2.0
+ ];
+
+ gcartesianPower( 'column-major', x.length, 3, x, 1, out, 8 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ x = [ 5.0 ];
+ out = [ 0.0 ];
+ expected = [ 5.0 ];
+
+ gcartesianPower( 'column-major', 1, 1, x, 1, out, 1 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function computes the Cartesian power (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ // Row-major:
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 'row-major', 2, 2, toAccessorArray( x ), 1, toAccessorArray( out ), 2 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ // Column-major:
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 1.0, 2.0 ];
+
+ gcartesianPower( 'column-major', 2, 2, toAccessorArray( x ), 1, toAccessorArray( out ), 4 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a reference to the output array', function test( t ) {
+ var out;
+ var x;
+ var y;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ y = gcartesianPower( 'row-major', x.length, 2, x, 1, out, 2 );
+
+ t.strictEqual( y, out, 'same reference' );
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ y = gcartesianPower( 'column-major', x.length, 2, x, 1, out, 4 );
+
+ t.strictEqual( y, out, 'same reference' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` or `k` parameter equal to `0`, the function returns `out` unchanged', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ];
+ expected = [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ];
+
+ gcartesianPower( 'row-major', 0, 2, x, 1, out, 2 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ gcartesianPower( 'row-major', x.length, 0, x, 1, out, 1 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ gcartesianPower( 'column-major', 0, 2, x, 1, out, 2 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ gcartesianPower( 'column-major', x.length, 0, x, 1, out, 1 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a stride for `x`', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ // Row-major:
+ x = [
+ 1.0, // 0
+ 0.0,
+ 2.0, // 1
+ 0.0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 'row-major', 2, 2, x, 2, out, 2 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ // Column-major:
+ x = [
+ 1.0, // 0
+ 0.0,
+ 2.0, // 1
+ 0.0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 1.0, 2.0 ];
+
+ gcartesianPower( 'column-major', 2, 2, x, 2, out, 4 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a stride for `x` (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ // Row-major:
+ x = [
+ 1.0, // 0
+ 0.0,
+ 2.0, // 1
+ 0.0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 'row-major', 2, 2, toAccessorArray( x ), 2, toAccessorArray( out ), 2 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ // Column-major:
+ x = [
+ 1.0, // 0
+ 0.0,
+ 2.0, // 1
+ 0.0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 1.0, 2.0 ];
+
+ gcartesianPower( 'column-major', 2, 2, toAccessorArray( x ), 2, toAccessorArray( out ), 4 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative stride for `x`', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ // Row-major:
+ x = [
+ 2.0, // 1
+ 1.0 // 0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 'row-major', 2, 2, x, -1, out, 2 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ // Column-major:
+ x = [
+ 2.0, // 1
+ 1.0 // 0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 1.0, 2.0 ];
+
+ gcartesianPower( 'column-major', 2, 2, x, -1, out, 4 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative stride for `x` (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ // Row-major:
+ x = [
+ 2.0, // 1
+ 1.0 // 0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 'row-major', 2, 2, toAccessorArray( x ), -1, toAccessorArray( out ), 2 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ // Column-major:
+ x = [
+ 2.0, // 1
+ 1.0 // 0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 1.0, 2.0 ];
+
+ gcartesianPower( 'column-major', 2, 2, toAccessorArray( x ), -1, toAccessorArray( out ), 4 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a leading dimension stride for the output array', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ // Row-major:
+ x = [ 1.0, 2.0 ];
+ out = [
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+ expected = [
+ 1.0,
+ 1.0,
+ 0.0,
+ 0.0,
+ 1.0,
+ 2.0,
+ 0.0,
+ 0.0,
+ 2.0,
+ 1.0,
+ 0.0,
+ 0.0,
+ 2.0,
+ 2.0,
+ 0.0,
+ 0.0
+ ];
+
+ gcartesianPower( 'row-major', x.length, 2, x, 1, out, 4 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ // Column-major:
+ x = [ 1.0, 2.0 ];
+ out = [
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+ expected = [
+ 1.0,
+ 1.0,
+ 2.0,
+ 2.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 1.0,
+ 2.0,
+ 1.0,
+ 2.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+
+ gcartesianPower( 'column-major', x.length, 2, x, 1, out, 8 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a leading dimension stride for the output array (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ // Row-major:
+ x = [ 1.0, 2.0 ];
+ out = [
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+ expected = [
+ 1.0,
+ 1.0,
+ 0.0,
+ 0.0,
+ 1.0,
+ 2.0,
+ 0.0,
+ 0.0,
+ 2.0,
+ 1.0,
+ 0.0,
+ 0.0,
+ 2.0,
+ 2.0,
+ 0.0,
+ 0.0
+ ];
+
+ gcartesianPower( 'row-major', x.length, 2, toAccessorArray( x ), 1, toAccessorArray( out ), 4 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ // Column-major:
+ x = [ 1.0, 2.0 ];
+ out = [
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+ expected = [
+ 1.0,
+ 1.0,
+ 2.0,
+ 2.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 1.0,
+ 2.0,
+ 1.0,
+ 2.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+
+ gcartesianPower( 'column-major', x.length, 2, toAccessorArray( x ), 1, toAccessorArray( out ), 8 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports view offsets', function test( t ) {
+ var expected;
+ var out;
+ var x0;
+ var x1;
+
+ // Row-major:
+ x0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] );
+ x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
+
+ out = new Float64Array( 8 );
+ expected = new Float64Array( [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ] );
+
+ gcartesianPower( 'row-major', 2, 2, x1, 1, out, 2 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ // Column-major:
+ x0 = new Float64Array( [ 0.0, 1.0, 2.0, 3.0 ] );
+ x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
+
+ out = new Float64Array( 8 );
+ expected = new Float64Array( [ 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 1.0, 2.0 ] );
+
+ gcartesianPower( 'column-major', 2, 2, x1, 1, out, 4 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/test/test.ndarray.js b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/test/test.ndarray.js
new file mode 100644
index 000000000000..7ac6d806cfff
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/gcartesian-power/test/test.ndarray.js
@@ -0,0 +1,510 @@
+/**
+* @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 toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var gcartesianPower = require( './../lib/ndarray.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof gcartesianPower, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 9', function test( t ) {
+ t.strictEqual( gcartesianPower.length, 9, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function computes the Cartesian power', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( x.length, 2, x, 1, 0, out, 2, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ x = [ 1.0, 2.0 ];
+ out = [
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+ expected = [
+ 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
+ ];
+
+ gcartesianPower( x.length, 3, x, 1, 0, out, 3, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ x = [ 5.0 ];
+ out = [ 0.0 ];
+ expected = [ 5.0 ];
+
+ gcartesianPower( 1, 1, x, 1, 0, out, 1, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function computes the Cartesian power (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 2, 2, toAccessorArray( x ), 1, 0, toAccessorArray( out ), 2, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns a reference to the output array', function test( t ) {
+ var out;
+ var x;
+ var y;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ y = gcartesianPower( x.length, 2, x, 1, 0, out, 2, 1, 0 );
+
+ t.strictEqual( y, out, 'same reference' );
+ t.end();
+});
+
+tape( 'if provided an `N` or `k` parameter equal to `0`, the function returns the output array unchanged', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ];
+ expected = [ 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ];
+
+ gcartesianPower( 0, 2, x, 1, 0, out, 2, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ gcartesianPower( 2, 0, x, 1, 0, out, 2, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a stride for `x`', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [
+ 1.0, // 0
+ 0.0,
+ 2.0, // 1
+ 0.0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 2, 2, x, 2, 0, out, 2, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a stride for `x` (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [
+ 1.0, // 0
+ 0.0,
+ 2.0, // 1
+ 0.0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 2, 2, toAccessorArray( x ), 2, 0, toAccessorArray( out ), 2, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative stride for `x`', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [
+ 2.0, // 1
+ 1.0 // 0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 2, 2, x, -1, 1, out, 2, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative stride for `x` (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [
+ 2.0, // 1
+ 1.0 // 0
+ ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 2, 2, toAccessorArray( x ), -1, 1, toAccessorArray( out ), 2, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a stride for the first dimension of the output array', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+ expected = [
+ 1.0,
+ 1.0,
+ 0.0,
+ 0.0,
+ 1.0,
+ 2.0,
+ 0.0,
+ 0.0,
+ 2.0,
+ 1.0,
+ 0.0,
+ 0.0,
+ 2.0,
+ 2.0,
+ 0.0,
+ 0.0
+ ];
+
+ gcartesianPower( 2, 2, x, 1, 0, out, 4, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a stride for the first dimension of the output array (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0,
+ 0.0
+ ];
+ expected = [
+ 1.0,
+ 1.0,
+ 0.0,
+ 0.0,
+ 1.0,
+ 2.0,
+ 0.0,
+ 0.0,
+ 2.0,
+ 1.0,
+ 0.0,
+ 0.0,
+ 2.0,
+ 2.0,
+ 0.0,
+ 0.0
+ ];
+
+ gcartesianPower( 2, 2, toAccessorArray( x ), 1, 0, toAccessorArray( out ), 4, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative stride for the first dimension of the output array', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 2.0, 2.0, 2.0, 1.0, 1.0, 2.0, 1.0, 1.0 ];
+
+ gcartesianPower( 2, 2, x, 1, 0, out, -2, 1, 6 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative stride for the first dimension of the output array (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 2.0, 2.0, 2.0, 1.0, 1.0, 2.0, 1.0, 1.0 ];
+
+ gcartesianPower( 2, 2, toAccessorArray( x ), 1, 0, toAccessorArray( out ), -2, 1, 6 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative stride for the second dimension of the output array', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 2.0, 1.0, 1.0, 2.0, 2.0, 2.0 ];
+
+ gcartesianPower( 2, 2, x, 1, 0, out, 2, -1, 1 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports specifying a negative stride for the second dimension of the output array (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 2.0, 1.0, 1.0, 2.0, 2.0, 2.0 ];
+
+ gcartesianPower( 2, 2, toAccessorArray( x ), 1, 0, toAccessorArray( out ), 2, -1, 1 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports an offset parameter for `x`', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 0.0, 1.0, 2.0, 3.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 2, 2, x, 1, 1, out, 2, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports an offset parameter for `x` (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 0.0, 1.0, 2.0, 3.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 2.0 ];
+
+ gcartesianPower( 2, 2, toAccessorArray( x ), 1, 1, toAccessorArray( out ), 2, 1, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports an offset parameter for the output array', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [
+ 0.0,
+ 0.0,
+ 1.0,
+ 1.0,
+ 1.0,
+ 2.0,
+ 2.0,
+ 1.0,
+ 2.0,
+ 2.0
+ ];
+
+ gcartesianPower( 2, 2, x, 1, 0, out, 2, 1, 2 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports an offset parameter for the output array (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [
+ 0.0,
+ 0.0,
+ 1.0,
+ 1.0,
+ 1.0,
+ 2.0,
+ 2.0,
+ 1.0,
+ 2.0,
+ 2.0
+ ];
+
+ gcartesianPower( 2, 2, toAccessorArray( x ), 1, 0, toAccessorArray( out ), 2, 1, 2 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a column-major output layout', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 1.0, 2.0 ];
+
+ gcartesianPower( 2, 2, x, 1, 0, out, 1, 4, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a column-major output layout (accessors)', function test( t ) {
+ var expected;
+ var out;
+ var x;
+
+ x = [ 1.0, 2.0 ];
+ out = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];
+ expected = [ 1.0, 1.0, 2.0, 2.0, 1.0, 2.0, 1.0, 2.0 ];
+
+ gcartesianPower( 2, 2, toAccessorArray( x ), 1, 0, toAccessorArray( out ), 1, 4, 0 );
+ t.deepEqual( out, expected, 'returns expected value' );
+
+ t.end();
+});