Merge branch 'develop' into stdlib-todo-bot

Author: anandkaranubc

docs/contributing/zen_of_stdlib.md

@@ -22,6 +22,7 @@ limitations under the License.
 
 # Zen of stdlib
 
+```text
 Do one thing. Do it well.
 Embrace radical modularity.
 Favor composition over configuration.
@@ -56,6 +57,7 @@ Mistakes are infectious.
 Fix them early.
 
 Simple is beautiful.
+```
 
 * * *
 

lib/node_modules/@stdlib/assert/is-readable-property/benchmark/benchmark.js

@@ -22,6 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var isBoolean = require( '@stdlib/assert/is-boolean' ).isPrimitive;
+var zeros = require( '@stdlib/array/zeros' );
 var pkg = require( './../package.json' ).name;
 var isReadableProperty = require( './../lib' );
 
@@ -33,7 +34,7 @@ bench( pkg, function benchmark( b ) {
 	var arr;
 	var i;
 
-	arr = new Array( 100 );
+	arr = zeros( 100, 'generic' );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/blas/base/dgemv/test/test.dgemv.native.js

@@ -39,7 +39,6 @@ var cxpyp = require( './fixtures/column_major_xpyp.json' );
 var cx = require( './fixtures/column_major_x_zeros.json' );
 var cxb = require( './fixtures/column_major_x_zeros_beta_one.json' );
 var ca = require( './fixtures/column_major_alpha_zero.json' );
-
 var rnt = require( './fixtures/row_major_nt.json' );
 var rt = require( './fixtures/row_major_t.json' );
 var rxnyn = require( './fixtures/row_major_xnyn.json' );

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

@@ -0,0 +1,123 @@
+<!--
+
+@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.
+
+-->
+
+# csscal
+
+> Multiply a one-dimensional single-precision complex floating-point ndarray by a single-precision floating-point scalar constant.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var csscal = require( '@stdlib/blas/base/ndarray/csscal' );
+```
+
+#### csscal( arrays )
+
+Multiplies a one-dimensional single-precision complex floating-point ndarray by a single-precision floating-point scalar constant.
+
+```javascript
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+
+var x = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+
+var alpha = scalar2ndarray( 2.0, {
+    'dtype': 'float32'
+});
+
+var y = csscal( [ x, alpha ] );
+// returns <ndarray>[ <Complex64>[ 2.0, 4.0 ], <Complex64>[ 6.0, 8.0 ], <Complex64>[ 10.0, 12.0 ] ]
+
+var bool = ( y === x );
+// returns true
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a zero-dimensional ndarray containing a scalar constant.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var csscal = require( '@stdlib/blas/base/ndarray/csscal' );
+
+var opts = {
+    'dtype': 'float32'
+};
+
+var x = new Complex64Vector( discreteUniform( 10, 0, 100, opts ) );
+console.log( ndarray2array( x ) );
+
+var alpha = scalar2ndarray( 2.0, {
+    'dtype': 'float32'
+});
+
+var out = csscal( [ x, alpha ] );
+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/csscal/benchmark/benchmark.js

@@ -0,0 +1,116 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var realf = require( '@stdlib/complex/float32/real' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var csscal = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var alpha;
+	var xbuf;
+	var x;
+
+	xbuf = uniform( len*2, -100.0, 100.0, {
+		'dtype': 'float32'
+	});
+	x = new Complex64Vector( xbuf.buffer );
+
+	alpha = scalar2ndarray( 0.8, 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 = csscal( [ x, alpha ] );
+			if ( typeof z !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( isnanf( realf( 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/csscal/docs/repl.txt

@@ -0,0 +1,33 @@
+
+{{alias}}( arrays )
+    Multiplies a one-dimensional single-precision complex floating-point ndarray
+    by a single-precision floating-point scalar constant.
+
+    If provided an empty input ndarray, the function returns the input ndarray
+    unchanged.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a zero-dimensional ndarray containing a scalar constant.
+
+    Returns
+    -------
+    out: ndarray
+        Input ndarray.
+
+    Examples
+    --------
+    > var x = new {{alias:@stdlib/ndarray/vector/complex64}}( [ 4.0, 2.0, -3.0, 5.0 ] );
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 2.0, { 'dtype': 'float32' } );
+
+    > {{alias}}( [ x, alpha ] );
+    > x
+    <ndarray>[ <Complex64>[ 8.0, 4.0 ], <Complex64>[ -6.0, 10.0 ] ]
+
+    See Also
+    --------
+

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

@@ -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.
+*/
+
+// TypeScript Version: 4.1
+
+/// <reference types="@stdlib/types"/>
+
+import { complex64ndarray, float32ndarray } from '@stdlib/types/ndarray';
+
+/**
+* Multiplies a one-dimensional single-precision complex floating-point ndarray by a single-precision floating-point scalar constant.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing a scalar constant.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns input ndarray
+*
+* @example
+* var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
+*
+* var alpha = scalar2ndarray( 2.0, {
+*     'dtype': 'float32'
+* });
+*
+* var y = csscal( [ x, alpha ] );
+* // returns <ndarray>[ <Complex64>[ 2.0, 4.0 ], <Complex64>[ 6.0, 8.0 ], <Complex64>[ 10.0, 12.0 ] ]
+*
+* var bool = ( y === x );
+* // returns true
+*/
+declare function csscal( arrays: [ complex64ndarray, float32ndarray ] ): complex64ndarray;
+
+
+// EXPORTS //
+
+export = csscal;