From d58b43574fbb39026b14cfb3db20b6bb60d80df0 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Mon, 21 Sep 2026 22:20:52 +0500
Subject: [PATCH 1/3] feat: add blas/ext/base/ndarray/gvander

---
 .../blas/ext/base/ndarray/gvander/README.md   | 175 +++++++
 .../ndarray/gvander/benchmark/benchmark.js    | 115 +++++
 .../ext/base/ndarray/gvander/docs/repl.txt    |  53 ++
 .../ndarray/gvander/docs/types/index.d.ts     |  64 +++
 .../base/ndarray/gvander/docs/types/test.ts   |  70 +++
 .../base/ndarray/gvander/examples/index.js    |  44 ++
 .../ext/base/ndarray/gvander/lib/index.js     |  55 ++
 .../blas/ext/base/ndarray/gvander/lib/main.js |  87 ++++
 .../ext/base/ndarray/gvander/package.json     |  67 +++
 .../ext/base/ndarray/gvander/test/test.js     | 475 ++++++++++++++++++
 10 files changed, 1205 insertions(+)
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/benchmark/benchmark.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/index.d.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/test.ts
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/examples/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/index.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/main.js
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/package.json
 create mode 100644 lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/test/test.js

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md
new file mode 100644
index 000000000000..2ba54e6d0467
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md
@@ -0,0 +1,175 @@
+<!--
+
+@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.
+
+-->
+
+# gvander
+
+> Generate a Vandermonde matrix.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var gvander = require( '@stdlib/blas/ext/base/ndarray/gvander' );
+```
+
+#### gvander( arrays )
+
+Generates a Vandermonde matrix.
+
+```javascript
+var Vector = require( '@stdlib/ndarray/vector' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+
+var x = new Vector( 'generic', [ 1.0, 2.0, 3.0 ] );
+var out = zeros( [ 3, 3 ], {
+    'dtype': 'generic'
+});
+
+var mode = scalar2ndarray( 1, {
+    'dtype': 'generic'
+});
+
+var v = gvander( [ x, out, mode ] );
+// returns <ndarray>[ [ 1.0, 1.0, 1.0 ], [ 1.0, 2.0, 4.0 ], [ 1.0, 3.0, 9.0 ] ]
+
+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 mode.
+
+When the mode is positive, the matrix is generated such that
+
+```text
+[
+    1   x_0^1   x_0^2   ...   x_0^(N-1)
+    1   x_1^1   x_1^2   ...   x_1^(N-1)
+    ...
+]
+```
+
+with increasing powers along the rows.
+
+When the mode is negative, the matrix is generated such that
+
+```text
+[
+    x_0^(N-1)   ...   x_0^2   x_0^1   1
+    x_1^(N-1)   ...   x_1^2   x_1^1   1
+    ...
+]
+```
+
+with decreasing powers along the rows.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   If `M <= 0` or `N <= 0`, the function returns the output ndarray unchanged.
+-   The function supports array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
+
+</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 gvander = require( '@stdlib/blas/ext/base/ndarray/gvander' );
+
+var M = 3;
+var N = 4;
+
+var opts = {
+    'dtype': 'generic'
+};
+
+var x = discreteUniform( [ M ], 0, 10, opts );
+console.log( ndarray2array( x ) );
+
+var out = zeros( [ M, N ], opts );
+
+var mode = scalar2ndarray( -1, {
+    'dtype': 'generic'
+});
+
+var v = gvander( [ x, out, mode ] );
+console.log( ndarray2array( v ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<section class="references">
+
+</section>
+
+<!-- /.references -->
+
+<!-- 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">
+
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
+<!-- <related-links> -->
+
+<!-- </related-links> -->
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/benchmark/benchmark.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/benchmark/benchmark.js
new file mode 100644
index 000000000000..d6f86d79c619
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/benchmark/benchmark.js
@@ -0,0 +1,115 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/uniform' );
+var zeros = require( '@stdlib/ndarray/zeros' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var pkg = require( './../package.json' ).name;
+var gvander = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var mode;
+	var out;
+	var x;
+
+	x = uniform( [ len ], -10.0, 10.0, options );
+	out = zeros( [ len, len ], options );
+
+	mode = scalar2ndarray( 1, {
+		'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 = gvander( [ x, out, mode ] );
+			if ( typeof v !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnan( v.get( i%len, i%len ) ) ) {
+			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/gvander/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt
new file mode 100644
index 000000000000..d75dc5b00044
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt
@@ -0,0 +1,53 @@
+
+{{alias}}( arrays )
+    Generates a Vandermonde matrix.
+
+    When the mode is positive, the matrix is generated such that
+
+        [
+            1   x_0^1   x_0^2   ...   x_0^(N-1)
+            1   x_1^1   x_1^2   ...   x_1^(N-1)
+            ...
+        ]
+
+    with increasing powers along the rows.
+
+    When the mode is negative, the matrix is generated such that
+
+        [
+            x_0^(N-1)   ...   x_0^2   x_0^1   1
+            x_1^(N-1)   ...   x_1^2   x_1^1   1
+            ...
+        ]
+
+    with decreasing powers along the rows.
+
+    If `M <= 0` or `N <= 0`, the function returns the output ndarray
+    unchanged.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a two-dimensional output ndarray.
+        - a zero-dimensional ndarray specifying the mode.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var x = new {{alias:@stdlib/ndarray/vector}}( 'generic', [ 1.0, 2.0, 3.0 ] );
+    > var out = {{alias:@stdlib/ndarray/zeros}}( [ 3, 3 ], { 'dtype': 'generic' } );
+    > var mode = {{alias:@stdlib/ndarray/from-scalar}}( 1, { 'dtype': 'generic' } );
+    > {{alias}}( [ x, out, mode ] );
+    > out
+    <ndarray>[ [ 1.0, 1.0, 1.0 ], [ 1.0, 2.0, 4.0 ], [ 1.0, 3.0, 9.0 ] ]
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/index.d.ts
new file mode 100644
index 000000000000..73b79cdede00
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/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 { typedndarray } from '@stdlib/types/ndarray';
+
+/**
+* Generates a Vandermonde matrix.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a two-dimensional output ndarray.
+*     -   a zero-dimensional ndarray specifying the mode.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns output ndarray
+*
+* @example
+* var Vector = require( '@stdlib/ndarray/vector' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Vector( 'generic', [ 1.0, 2.0, 3.0 ] );
+* var out = zeros( [ 3, 3 ], {
+*     'dtype': 'generic'
+* });
+*
+* var mode = scalar2ndarray( 1, {
+*     'dtype': 'generic'
+* });
+*
+* var v = gvander( [ x, out, mode ] );
+* // returns <ndarray>[ [ 1.0, 1.0, 1.0 ], [ 1.0, 2.0, 4.0 ], [ 1.0, 3.0, 9.0 ] ]
+*
+* var bool = ( v === out );
+* // returns true
+*/
+declare function gvander<T extends typedndarray<unknown> = typedndarray<unknown>>( arrays: [ typedndarray<unknown>, T, typedndarray<number> ] ): T;
+
+
+// EXPORTS //
+
+export = gvander;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/test.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/test.ts
new file mode 100644
index 000000000000..58cc2b30a896
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/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 gvander = require( './index' );
+
+
+// TESTS //
+
+// The function returns an ndarray...
+{
+	const x = zeros( [ 3 ], {
+		'dtype': 'generic'
+	});
+	const out = zeros( [ 3, 3 ], {
+		'dtype': 'generic'
+	});
+	const mode = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+
+	gvander( [ x, out, mode ] ); // $ExpectType genericndarray<number>
+}
+
+// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
+{
+	gvander( '10' ); // $ExpectError
+	gvander( 10 ); // $ExpectError
+	gvander( true ); // $ExpectError
+	gvander( false ); // $ExpectError
+	gvander( null ); // $ExpectError
+	gvander( undefined ); // $ExpectError
+	gvander( [] ); // $ExpectError
+	gvander( {} ); // $ExpectError
+	gvander( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	const x = zeros( [ 3 ], {
+		'dtype': 'generic'
+	});
+	const out = zeros( [ 3, 3 ], {
+		'dtype': 'generic'
+	});
+	const mode = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+
+	gvander(); // $ExpectError
+	gvander( [ x, out, mode ], {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/examples/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/examples/index.js
new file mode 100644
index 000000000000..7d6ed5d6db31
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/examples/index.js
@@ -0,0 +1,44 @@
+/**
+* @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 gvander = require( './../lib' );
+
+var M = 3;
+var N = 4;
+
+var opts = {
+	'dtype': 'generic'
+};
+
+var x = discreteUniform( [ M ], 0, 10, opts );
+console.log( ndarray2array( x ) );
+
+var out = zeros( [ M, N ], opts );
+
+var mode = scalar2ndarray( -1, {
+	'dtype': 'generic'
+});
+
+var v = gvander( [ x, out, mode ] );
+console.log( ndarray2array( v ) );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/index.js
new file mode 100644
index 000000000000..0f5766088d5c
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/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';
+
+/**
+* Generate a Vandermonde matrix.
+*
+* @module @stdlib/blas/ext/base/ndarray/gvander
+*
+* @example
+* var Vector = require( '@stdlib/ndarray/vector' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+* var gvander = require( '@stdlib/blas/ext/base/ndarray/gvander' );
+*
+* var x = new Vector( 'generic', [ 1.0, 2.0, 3.0 ] );
+* var out = zeros( [ 3, 3 ], {
+*     'dtype': 'generic'
+* });
+*
+* var mode = scalar2ndarray( 1, {
+*     'dtype': 'generic'
+* });
+*
+* var v = gvander( [ x, out, mode ] );
+* // returns <ndarray>[ [ 1.0, 1.0, 1.0 ], [ 1.0, 2.0, 4.0 ], [ 1.0, 3.0, 9.0 ] ]
+*
+* 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/gvander/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/main.js
new file mode 100644
index 000000000000..8f3e46def731
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/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/gvander' ).ndarray;
+
+
+// MAIN //
+
+/**
+* Generates a Vandermonde matrix.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a two-dimensional output ndarray.
+*     -   a zero-dimensional ndarray specifying the mode.
+*
+* @param {ArrayLikeObject<Object>} arrays - array-like object containing ndarrays
+* @returns {Object} output ndarray
+*
+* @example
+* var Vector = require( '@stdlib/ndarray/vector' );
+* var zeros = require( '@stdlib/ndarray/zeros' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Vector( 'generic', [ 1.0, 2.0, 3.0 ] );
+* var out = zeros( [ 3, 3 ], {
+*     'dtype': 'generic'
+* });
+*
+* var mode = scalar2ndarray( 1, {
+*     'dtype': 'generic'
+* });
+*
+* var v = gvander( [ x, out, mode ] );
+* // returns <ndarray>[ [ 1.0, 1.0, 1.0 ], [ 1.0, 2.0, 4.0 ], [ 1.0, 3.0, 9.0 ] ]
+*
+* var bool = ( v === out );
+* // returns true
+*/
+function gvander( arrays ) {
+	var mode;
+	var out;
+	var so;
+	var x;
+
+	x = arrays[ 0 ];
+	out = arrays[ 1 ];
+	mode = ndarraylike2scalar( arrays[ 2 ] );
+
+	so = getStrides( out, false );
+
+	strided( mode, numelDimension( out, 0 ), numelDimension( out, 1 ), 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 = gvander;
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/package.json b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/package.json
new file mode 100644
index 000000000000..d3701e35b556
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/package.json
@@ -0,0 +1,67 @@
+{
+  "name": "@stdlib/blas/ext/base/ndarray/gvander",
+  "version": "0.0.0",
+  "description": "Generate a Vandermonde matrix.",
+  "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",
+    "vandermonde",
+    "matrix",
+    "generate",
+    "ndarray",
+    "array",
+    "typed",
+    "strided"
+  ],
+  "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/test/test.js
new file mode 100644
index 000000000000..f2b6630f8a37
--- /dev/null
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/test/test.js
@@ -0,0 +1,475 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var getData = require( '@stdlib/ndarray/data-buffer' );
+var gvander = 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( 'generic', 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( 'generic', 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 gvander, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+	t.strictEqual( gvander.length, 1, 'has expected arity' );
+	t.end();
+});
+
+tape( 'the function generates a Vandermonde matrix (row-major, increasing)', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 1.0, 2.0, 3.0 ], 3, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 3, 3, 3, 1, 0 );
+
+	mode = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 1.0, 1.0, 1.0, 2.0, 4.0, 1.0, 3.0, 9.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function generates a Vandermonde matrix (row-major, decreasing)', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 1.0, 2.0, 3.0 ], 3, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 3, 3, 3, 1, 0 );
+
+	mode = scalar2ndarray( -1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 1.0, 1.0, 4.0, 2.0, 1.0, 9.0, 3.0, 1.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function generates a Vandermonde matrix (column-major, increasing)', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 1.0, 2.0, 3.0 ], 3, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 3, 3, 1, 3, 0 );
+
+	mode = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 1.0, 1.0, 1.0, 2.0, 3.0, 1.0, 4.0, 9.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function generates a Vandermonde matrix (column-major, decreasing)', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 1.0, 2.0, 3.0 ], 3, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 3, 3, 1, 3, 0 );
+
+	mode = scalar2ndarray( -1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 4.0, 9.0, 1.0, 2.0, 3.0, 1.0, 1.0, 1.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function returns a reference to the output ndarray', function test( t ) {
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 1.0, 2.0 ], 2, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0 ], 2, 2, 2, 1, 0 );
+
+	mode = scalar2ndarray( -1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	t.strictEqual( v, out, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided `M` equal to `0`, the function returns the output ndarray unchanged', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	out = matrix( [ 3.0, 4.0, 5.0, 6.0 ], 0, 3, 3, 1, 0 );
+	expected = [ 3.0, 4.0, 5.0, 6.0 ];
+
+	x = vector( [], 0, 1, 0 );
+
+	mode = scalar2ndarray( -1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided `N` equal to `0`, the function returns the output ndarray unchanged', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	out = matrix( [ 3.0, 4.0, 5.0, 6.0 ], 2, 0, 0, 1, 0 );
+	expected = [ 3.0, 4.0, 5.0, 6.0 ];
+
+	x = vector( [ 1.0, 2.0 ], 2, 1, 0 );
+
+	mode = scalar2ndarray( -1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports input ndarrays with strides', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 1.0, 0.0, 3.0, 0.0 ], 2, 2, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 2, 3, 3, 1, 0 );
+
+	mode = scalar2ndarray( -1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 1.0, 1.0, 9.0, 3.0, 1.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports input ndarrays with negative strides', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 3.0, 0.0, 1.0 ], 2, -2, 2 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 2, 3, 3, 1, 0 );
+
+	mode = scalar2ndarray( -1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 1.0, 1.0, 9.0, 3.0, 1.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports ndarrays having non-zero offsets', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 0.0, 1.0, 2.0, 3.0 ], 3, 1, 1 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 3, 3, 3, 1, 2 );
+
+	mode = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 2.0, 4.0, 1.0, 3.0, 9.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports output ndarrays with negative strides', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 1.0, 2.0, 3.0 ], 3, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 3, 3, -3, 1, 6 );
+
+	mode = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 3.0, 9.0, 1.0, 2.0, 4.0, 1.0, 1.0, 1.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports output stride with padding (row-major)', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 1.0, 2.0 ], 2, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 2, 3, 5, 1, 0 );
+
+	mode = scalar2ndarray( -1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [
+		1.0,
+		1.0,
+		1.0,
+		0.0,
+		0.0,
+		4.0,
+		2.0,
+		1.0,
+		0.0,
+		0.0
+	];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports output stride with padding (column-major)', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 1.0, 2.0 ], 2, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 2, 3, 1, 4, 0 );
+
+	mode = scalar2ndarray( -1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [
+		1.0,
+		4.0,
+		0.0,
+		0.0,
+		1.0,
+		2.0,
+		0.0,
+		0.0,
+		1.0,
+		1.0,
+		0.0,
+		0.0
+	];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports non-square matrices (M > N, row-major, decreasing)', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 1.0, 2.0, 3.0 ], 3, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 3, 2, 2, 1, 0 );
+
+	mode = scalar2ndarray( -1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 1.0, 2.0, 1.0, 3.0, 1.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function supports non-square matrices (M < N, row-major, increasing)', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 2.0, 3.0 ], 2, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 2, 4, 4, 1, 0 );
+
+	mode = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 2.0, 4.0, 8.0, 1.0, 3.0, 9.0, 27.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function handles zero values in the input array (row-major, increasing)', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 0.0, 2.0 ], 2, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 2, 3, 3, 1, 0 );
+
+	mode = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 0.0, 0.0, 1.0, 2.0, 4.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function handles a single column (N=1)', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 5.0, 10.0, 15.0 ], 3, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0 ], 3, 1, 1, 1, 0 );
+
+	mode = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 1.0, 1.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});
+
+tape( 'the function handles a single row (M=1)', function test( t ) {
+	var expected;
+	var mode;
+	var out;
+	var x;
+	var v;
+
+	x = vector( [ 3.0 ], 1, 1, 0 );
+	out = matrix( [ 0.0, 0.0, 0.0, 0.0 ], 1, 4, 4, 1, 0 );
+
+	mode = scalar2ndarray( 1, {
+		'dtype': 'generic'
+	});
+	v = gvander( [ x, out, mode ] );
+
+	expected = [ 1.0, 3.0, 9.0, 27.0 ];
+	t.strictEqual( v, out, 'returns expected value' );
+	t.deepEqual( getData( v ), expected, 'returns expected value' );
+	t.end();
+});

From bc8dcd00899f6bcb077760ff34e389e79e906d81 Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Mon, 21 Sep 2026 22:28:26 +0500
Subject: [PATCH 2/3] fix: lint err

---
 .../@stdlib/blas/ext/base/ndarray/gvander/README.md          | 5 ++---
 .../@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt      | 2 +-
 .../blas/ext/base/ndarray/gvander/docs/types/index.d.ts      | 4 ++--
 .../@stdlib/blas/ext/base/ndarray/gvander/lib/index.js       | 4 ++--
 .../@stdlib/blas/ext/base/ndarray/gvander/lib/main.js        | 4 ++--
 5 files changed, 9 insertions(+), 10 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md
index 2ba54e6d0467..93da93963eeb 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md
@@ -41,12 +41,11 @@ var gvander = require( '@stdlib/blas/ext/base/ndarray/gvander' );
 Generates a Vandermonde matrix.
 
 ```javascript
-var Vector = require( '@stdlib/ndarray/vector' );
+var vector = require( '@stdlib/ndarray/vector/ctor' );
 var zeros = require( '@stdlib/ndarray/zeros' );
 var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
-var ndarray2array = require( '@stdlib/ndarray/to-array' );
 
-var x = new Vector( 'generic', [ 1.0, 2.0, 3.0 ] );
+var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
 var out = zeros( [ 3, 3 ], {
     'dtype': 'generic'
 });
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt
index d75dc5b00044..14ca8dcd64d4 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt
@@ -41,7 +41,7 @@
 
     Examples
     --------
-    > var x = new {{alias:@stdlib/ndarray/vector}}( 'generic', [ 1.0, 2.0, 3.0 ] );
+    > var x = {{alias:@stdlib/ndarray/vector/ctor}}( [ 1.0, 2.0, 3.0 ], 'generic' );
     > var out = {{alias:@stdlib/ndarray/zeros}}( [ 3, 3 ], { 'dtype': 'generic' } );
     > var mode = {{alias:@stdlib/ndarray/from-scalar}}( 1, { 'dtype': 'generic' } );
     > {{alias}}( [ x, out, mode ] );
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/index.d.ts
index 73b79cdede00..373aac56b60a 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/index.d.ts
@@ -37,11 +37,11 @@ import { typedndarray } from '@stdlib/types/ndarray';
 * @returns output ndarray
 *
 * @example
-* var Vector = require( '@stdlib/ndarray/vector' );
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
 * var zeros = require( '@stdlib/ndarray/zeros' );
 * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 *
-* var x = new Vector( 'generic', [ 1.0, 2.0, 3.0 ] );
+* var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
 * var out = zeros( [ 3, 3 ], {
 *     'dtype': 'generic'
 * });
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/index.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/index.js
index 0f5766088d5c..c230d9b278a0 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/index.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/index.js
@@ -24,12 +24,12 @@
 * @module @stdlib/blas/ext/base/ndarray/gvander
 *
 * @example
-* var Vector = require( '@stdlib/ndarray/vector' );
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
 * var zeros = require( '@stdlib/ndarray/zeros' );
 * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 * var gvander = require( '@stdlib/blas/ext/base/ndarray/gvander' );
 *
-* var x = new Vector( 'generic', [ 1.0, 2.0, 3.0 ] );
+* var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
 * var out = zeros( [ 3, 3 ], {
 *     'dtype': 'generic'
 * });
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/main.js
index 8f3e46def731..37a558dbc9a7 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/main.js
@@ -46,11 +46,11 @@ var strided = require( '@stdlib/blas/ext/base/gvander' ).ndarray;
 * @returns {Object} output ndarray
 *
 * @example
-* var Vector = require( '@stdlib/ndarray/vector' );
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
 * var zeros = require( '@stdlib/ndarray/zeros' );
 * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
 *
-* var x = new Vector( 'generic', [ 1.0, 2.0, 3.0 ] );
+* var x = vector( [ 1.0, 2.0, 3.0 ], 'generic' );
 * var out = zeros( [ 3, 3 ], {
 *     'dtype': 'generic'
 * });

From 8a4b738db194bd9cde89fa41c108f8a495b6207f Mon Sep 17 00:00:00 2001
From: headlessNode <harriskhan047@outlook.com>
Date: Tue, 22 Sep 2026 19:13:37 +0500
Subject: [PATCH 3/3] fix: apply suggestions from code review

---
 .../@stdlib/blas/ext/base/ndarray/gvander/README.md    |  4 ++--
 .../blas/ext/base/ndarray/gvander/docs/repl.txt        |  6 +++---
 .../ext/base/ndarray/gvander/docs/types/index.d.ts     |  2 +-
 .../@stdlib/blas/ext/base/ndarray/gvander/lib/main.js  |  6 ++++--
 .../@stdlib/blas/ext/base/ndarray/gvander/test/test.js | 10 +++++-----
 5 files changed, 15 insertions(+), 13 deletions(-)

diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md
index 93da93963eeb..2db633f1c2da 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/README.md
@@ -69,7 +69,7 @@ The function has the following parameters:
     -   a two-dimensional output ndarray.
     -   a zero-dimensional ndarray specifying the mode.
 
-When the mode is positive, the matrix is generated such that
+Let the output ndarray have shape `[M, N]`. When the mode is positive, the matrix is generated such that
 
 ```text
 [
@@ -101,7 +101,7 @@ with decreasing powers along the rows.
 
 ## Notes
 
--   If `M <= 0` or `N <= 0`, the function returns the output ndarray unchanged.
+-   Let the output ndarray have shape `[M, N]`. If `M <= 0` or `N <= 0`, the function returns the output ndarray unchanged.
 -   The function supports array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
 
 </section>
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt
index 14ca8dcd64d4..cf9186ffa611 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/repl.txt
@@ -2,7 +2,8 @@
 {{alias}}( arrays )
     Generates a Vandermonde matrix.
 
-    When the mode is positive, the matrix is generated such that
+    Let the output ndarray have shape `[M, N]`. When the mode is positive,
+    the matrix is generated such that
 
         [
             1   x_0^1   x_0^2   ...   x_0^(N-1)
@@ -22,8 +23,7 @@
 
     with decreasing powers along the rows.
 
-    If `M <= 0` or `N <= 0`, the function returns the output ndarray
-    unchanged.
+    If `M <= 0` or `N <= 0`, the function returns the output ndarray unchanged.
 
     Parameters
     ----------
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/index.d.ts b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/index.d.ts
index 373aac56b60a..20e4854b712e 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/docs/types/index.d.ts
@@ -56,7 +56,7 @@ import { typedndarray } from '@stdlib/types/ndarray';
 * var bool = ( v === out );
 * // returns true
 */
-declare function gvander<T extends typedndarray<unknown> = typedndarray<unknown>>( arrays: [ typedndarray<unknown>, T, typedndarray<number> ] ): T;
+declare function gvander<T = unknown, U extends typedndarray<T> = typedndarray<T>>( arrays: [ typedndarray<T>, U, typedndarray<number> ] ): U;
 
 
 // EXPORTS //
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/main.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/main.js
index 37a558dbc9a7..68704e4ed808 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/lib/main.js
@@ -21,7 +21,7 @@
 // MODULES //
 
 var ndarraylike2scalar = require( '@stdlib/ndarray/base/ndarraylike2scalar' );
-var numelDimension = require( '@stdlib/ndarray/base/numel-dimension' );
+var getShape = require( '@stdlib/ndarray/base/shape' );
 var getStrides = require( '@stdlib/ndarray/base/strides' );
 var getStride = require( '@stdlib/ndarray/base/stride' );
 var getOffset = require( '@stdlib/ndarray/base/offset' );
@@ -68,6 +68,7 @@ var strided = require( '@stdlib/blas/ext/base/gvander' ).ndarray;
 function gvander( arrays ) {
 	var mode;
 	var out;
+	var sh;
 	var so;
 	var x;
 
@@ -75,9 +76,10 @@ function gvander( arrays ) {
 	out = arrays[ 1 ];
 	mode = ndarraylike2scalar( arrays[ 2 ] );
 
+	sh = getShape( out, false );
 	so = getStrides( out, false );
 
-	strided( mode, numelDimension( out, 0 ), numelDimension( out, 1 ), getData( x ), getStride( x, 0 ), getOffset( x ), getData( out ), so[ 0 ], so[ 1 ], getOffset( out ) ); // eslint-disable-line max-len
+	strided( mode, sh[ 0 ], sh[ 1 ], getData( x ), getStride( x, 0 ), getOffset( x ), getData( out ), so[ 0 ], so[ 1 ], getOffset( out ) ); // eslint-disable-line max-len
 	return out;
 }
 
diff --git a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/test/test.js b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/test/test.js
index f2b6630f8a37..909db00dee56 100644
--- a/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/test/test.js
+++ b/lib/node_modules/@stdlib/blas/ext/base/ndarray/gvander/test/test.js
@@ -175,7 +175,7 @@ tape( 'the function returns a reference to the output ndarray', function test( t
 	t.end();
 });
 
-tape( 'if provided `M` equal to `0`, the function returns the output ndarray unchanged', function test( t ) {
+tape( 'if provided an empty input ndarray, the function returns the output ndarray unchanged', function test( t ) {
 	var expected;
 	var mode;
 	var out;
@@ -197,7 +197,7 @@ tape( 'if provided `M` equal to `0`, the function returns the output ndarray unc
 	t.end();
 });
 
-tape( 'if provided `N` equal to `0`, the function returns the output ndarray unchanged', function test( t ) {
+tape( 'if not provided an output ndarray with at least one column, the function returns the output ndarray unchanged', function test( t ) {
 	var expected;
 	var mode;
 	var out;
@@ -303,7 +303,7 @@ tape( 'the function supports output ndarrays with negative strides', function te
 	t.end();
 });
 
-tape( 'the function supports output stride with padding (row-major)', function test( t ) {
+tape( 'the function supports output ndarrays having non-unit strides (row-major)', function test( t ) {
 	var expected;
 	var mode;
 	var out;
@@ -335,7 +335,7 @@ tape( 'the function supports output stride with padding (row-major)', function t
 	t.end();
 });
 
-tape( 'the function supports output stride with padding (column-major)', function test( t ) {
+tape( 'the function supports output ndarrays having non-unit strides (column-major)', function test( t ) {
 	var expected;
 	var mode;
 	var out;
@@ -411,7 +411,7 @@ tape( 'the function supports non-square matrices (M < N, row-major, increasing)'
 	t.end();
 });
 
-tape( 'the function handles zero values in the input array (row-major, increasing)', function test( t ) {
+tape( 'the function handles zero values in the input ndarray (row-major, increasing)', function test( t ) {
 	var expected;
 	var mode;
 	var out;