Merge branch 'develop' into nd/base-diag

Author: headlessNode

docs/talks.md

@@ -32,7 +32,7 @@ limitations under the License.
 
 <div class="image" align="center">
     <a title="Bringing Complex Computations To Browsers With Open Source" href="https://youtu.be/rox9LZz_ffI">
-        <img width="480" src="" alt="Bringing Complex Computations To Browsers With Open Source">
+        <img width="480" src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@59a6ae8e735cabb5db1603d36ca6d0693f8184b4/docs/assets/talks/hpsf_conference_2026_gunj_joshi.png" alt="Bringing Complex Computations To Browsers With Open Source">
     </a>
     <br>
 </div>

lib/node_modules/@stdlib/_tools/lint/namespace-aliases/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 lint = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof lint, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'attached to the main export is a method to synchronously lint namespace aliases', function test( t ) {
+	t.strictEqual( typeof lint.sync, 'function', 'has sync method' );
+	t.end();
+});

lib/node_modules/@stdlib/_tools/lint/pkg-json-names/lib/async.js

@@ -44,7 +44,7 @@ var debug = logger( 'lint:pkg-json-names:async' );
 * @param {string} [options.dir] - root directory from which to search for package.json files to lint
 * @param {string} [options.pattern] - glob pattern
 * @param {(string|StringArray)} [options.ignore] - glob pattern(s) to exclude
-* @param {Function} clbk - callback to invoke upon completion
+* @param {Callback} clbk - callback to invoke upon completion
 * @throws {TypeError} must provide valid options
 * @throws {TypeError} callback argument must be a function
 *

lib/node_modules/@stdlib/blas/base/ndarray/README.md

@@ -60,6 +60,7 @@ The namespace exposes the following APIs:
 -   <span class="signature">[`saxpy( arrays )`][@stdlib/blas/base/ndarray/saxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional single-precision floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional single-precision floating-point ndarray `y`.</span>
 -   <span class="signature">[`scopy( arrays )`][@stdlib/blas/base/ndarray/scopy]</span><span class="delimiter">: </span><span class="description">copy values from a one-dimensional single-precision floating-point ndarray `x` into a one-dimensional single-precision floating-point ndarray `y`.</span>
 -   <span class="signature">[`sdot( arrays )`][@stdlib/blas/base/ndarray/sdot]</span><span class="delimiter">: </span><span class="description">calculate the dot product of two one-dimensional single-precision floating-point ndarrays.</span>
+-   <span class="signature">[`sswap( arrays )`][@stdlib/blas/base/ndarray/sswap]</span><span class="delimiter">: </span><span class="description">interchange two one-dimensional single-precision floating-point ndarrays.</span>
 -   <span class="signature">[`zaxpy( arrays )`][@stdlib/blas/base/ndarray/zaxpy]</span><span class="delimiter">: </span><span class="description">multiply a one-dimensional double-precision complex floating-point ndarray `x` by a constant `alpha` and add the result to a one-dimensional double-precision complex floating-point ndarray `y`.</span>
 -   <span class="signature">[`zcopy( arrays )`][@stdlib/blas/base/ndarray/zcopy]</span><span class="delimiter">: </span><span class="description">copy values from a one-dimensional double-precision complex floating-point ndarray `x` into a one-dimensional double-precision complex floating-point ndarray `y`.</span>
 
@@ -134,6 +135,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/base/ndarray/sdot]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sdot
 
+[@stdlib/blas/base/ndarray/sswap]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/sswap
+
 [@stdlib/blas/base/ndarray/zaxpy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/zaxpy
 
 [@stdlib/blas/base/ndarray/zcopy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/base/ndarray/zcopy

lib/node_modules/@stdlib/blas/base/ndarray/docs/types/index.d.ts

@@ -35,6 +35,7 @@ import sasum = require( '@stdlib/blas/base/ndarray/sasum' );
 import saxpy = require( '@stdlib/blas/base/ndarray/saxpy' );
 import scopy = require( '@stdlib/blas/base/ndarray/scopy' );
 import sdot = require( '@stdlib/blas/base/ndarray/sdot' );
+import sswap = require( '@stdlib/blas/base/ndarray/sswap' );
 import zaxpy = require( '@stdlib/blas/base/ndarray/zaxpy' );
 import zcopy = require( '@stdlib/blas/base/ndarray/zcopy' );
 
@@ -449,6 +450,34 @@ interface Namespace {
 	*/
 	sdot: typeof sdot;
 
+	/**
+	* Interchanges two one-dimensional single-precision floating-point ndarrays.
+	*
+	* ## Notes
+	*
+	* -   The function expects the following ndarrays:
+	*
+	*     -   first one-dimensional input ndarray.
+	*     -   second one-dimensional input ndarray.
+	*
+	* @param arrays - array-like object containing ndarrays
+	* @returns second input ndarray
+	*
+	* @example
+	* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
+	*
+	* var x = new Float32Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
+	* var y = new Float32Vector( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );
+	*
+	* var z = ns.sswap( [ x, y ] );
+	* // x => <ndarray>[ 6.0, 7.0, 8.0, 9.0, 10.0 ]
+	* // y => <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
+	*
+	* var bool = ( z === y );
+	* // returns true
+	*/
+	sswap: typeof sswap;
+
 	/**
 	* Multiplies a one-dimensional double-precision complex floating-point ndarray `x` by a constant `alpha` and adds the result to a one-dimensional double-precision complex floating-point ndarray `y`.
 	*

lib/node_modules/@stdlib/blas/base/ndarray/gswap/README.md

@@ -0,0 +1,118 @@
+<!--
+
+@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.
+
+-->
+
+# gswap
+
+> Interchange two one-dimensional ndarrays.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var gswap = require( '@stdlib/blas/base/ndarray/gswap' );
+```
+
+#### gswap( arrays )
+
+Interchanges two one-dimensional ndarrays.
+
+```javascript
+var vector = require( '@stdlib/ndarray/vector/ctor' );
+
+var x = vector( [ 1.0, 2.0, 3.0, 4.0, 5.0 ], 'generic' );
+var y = vector( [ 6.0, 7.0, 8.0, 9.0, 10.0 ], 'generic' );
+
+var z = gswap( [ x, y ] );
+// x => <ndarray>[ 6.0, 7.0, 8.0, 9.0, 10.0 ]
+// y => <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
+
+var bool = ( z === y );
+// returns true
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   first one-dimensional input ndarray.
+    -   second one-dimensional input ndarray.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var gswap = require( '@stdlib/blas/base/ndarray/gswap' );
+
+var opts = {
+    'dtype': 'generic'
+};
+
+var x = discreteUniform( [ 10 ], 0, 100, opts );
+console.log( ndarray2array( x ) );
+
+var y = discreteUniform( [ 10 ], 0, 100, opts );
+console.log( ndarray2array( y ) );
+
+var out = gswap( [ x, y ] );
+console.log( ndarray2array( x ) );
+console.log( ndarray2array( out ) );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+</section>
+
+<!-- /.links -->

lib/node_modules/@stdlib/blas/base/ndarray/gswap/benchmark/benchmark.js

@@ -0,0 +1,104 @@
+/**
+* @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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var gswap = 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 x = uniform( [ len ], -100.0, 100.0, options );
+	var y = uniform( [ len ], -100.0, 100.0, options );
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var z;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			z = gswap( [ x, y ] );
+			if ( typeof z !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnan( z.get( 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 = 6; // 10^max
+
+	for ( i = min; i <= max; i++ ) {
+		len = pow( 10, i );
+		f = createBenchmark( len );
+		bench( format( '%s:len=%d', pkg, len ), f );
+	}
+}
+
+main();

lib/node_modules/@stdlib/blas/base/ndarray/gswap/docs/repl.txt

@@ -0,0 +1,34 @@
+
+{{alias}}( arrays )
+    Interchanges two one-dimensional ndarrays.
+
+    If provided an empty input ndarray, the function returns the output ndarray
+    unchanged.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - first one-dimensional input ndarray.
+        - second one-dimensional input ndarray.
+
+    Returns
+    -------
+    out: ndarray
+        The second input ndarray.
+
+    Examples
+    --------
+    > var x = {{alias:@stdlib/ndarray/vector/ctor}}( [ 4.0, 2.0, -3.0 ], 'generic' );
+    > var y = {{alias:@stdlib/ndarray/vector/ctor}}( [ 0.0, 0.0, 0.0 ], 'generic' );
+
+    > {{alias}}( [ x, y ] );
+    > x
+    <ndarray>[ 0.0, 0.0, 0.0 ]
+    > y
+    <ndarray>[ 4.0, 2.0, -3.0 ]
+
+    See Also
+    --------
+