feat: add blas/ext/base/ndarray/gwaxpb

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

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+<!--
+
+@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.
+
+-->
+
+# gwaxpb
+
+> Multiply each element in an input one-dimensional ndarray by a scalar constant and add a scalar constant before assigning the results to elements in a one-dimensional output ndarray.
+
+<section class="intro">
+
+This BLAS extension implements the linear transformation
+
+<!-- <equation class="equation" label="eq:waxpb" align="center" raw="\mathbf{w} = \alpha \mathbf{x} + \beta" alt="Equation for waxpb operation."> -->
+
+```math
+\mathbf{w} = \alpha \mathbf{x} + \beta
+```
+
+<!-- </equation> -->
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var gwaxpb = require( '@stdlib/blas/ext/base/ndarray/gwaxpb' );
+```
+
+#### gwaxpb( arrays )
+
+Multiplies each element in an input one-dimensional ndarray by a scalar constant and adds a scalar constant before assigning the results to elements in a one-dimensional output ndarray.
+
+```javascript
+var vector = require( '@stdlib/ndarray/vector/ctor' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+
+var x = vector( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ], 'generic' );
+var w = vector( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], 'generic' );
+
+var alpha = scalar2ndarray( 5.0, {
+    'dtype': 'generic'
+});
+
+var beta = scalar2ndarray( 3.0, {
+    'dtype': 'generic'
+});
+
+gwaxpb( [ x, w, alpha, beta ] );
+// w => <ndarray>[ -7.0, 8.0, 18.0, -22.0, 23.0, 3.0, -2.0, -12.0 ]
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a one-dimensional output ndarray.
+    -   a zero-dimensional ndarray containing the scalar constant to multiply.
+    -   a zero-dimensional ndarray containing the scalar constant to add.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var discreteUniform = require( '@stdlib/random/discrete-uniform' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var ndarray2array = require( '@stdlib/ndarray/to-array' );
+var ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
+var gwaxpb = require( '@stdlib/blas/ext/base/ndarray/gwaxpb' );
+
+var opts = {
+    'dtype': 'generic'
+};
+
+var x = discreteUniform( [ 10 ], -100, 100, opts );
+console.log( ndarray2array( x ) );
+
+var w = discreteUniform( [ 10 ], -100, 100, opts );
+console.log( ndarray2array( w ) );
+
+var alpha = scalar2ndarray( 5.0, opts );
+console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );
+
+var beta = scalar2ndarray( 3.0, opts );
+console.log( 'Beta: %d', ndarraylike2scalar( beta ) );
+
+gwaxpb( [ x, w, alpha, beta ] );
+console.log( ndarray2array( w ) );
+```
+
+</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/ext/base/ndarray/gwaxpb/benchmark/benchmark.js

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+/**
+* @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 scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var gwaxpb = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var alpha;
+	var beta;
+	var x;
+	var w;
+
+	x = uniform( [ len ], -100.0, 100.0, options );
+	w = zeros( [ len ], options );
+	alpha = scalar2ndarray( 5.0, options );
+	beta = scalar2ndarray( 3.0, options );
+	return benchmark;
+
+	/**
+	* Benchmark function.
+	*
+	* @private
+	* @param {Benchmark} b - benchmark instance
+	*/
+	function benchmark( b ) {
+		var out;
+		var i;
+
+		b.tic();
+		for ( i = 0; i < b.iterations; i++ ) {
+			out = gwaxpb( [ x, w, alpha, beta ] );
+			if ( typeof out !== 'object' ) {
+				b.fail( 'should return an ndarray' );
+			}
+		}
+		b.toc();
+		if ( typeof out !== 'object' ) {
+			b.fail( 'should return an ndarray' );
+		}
+		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/ext/base/ndarray/gwaxpb/docs/repl.txt

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+
+{{alias}}( arrays )
+    Multiplies each element in an input one-dimensional ndarray by a scalar
+    constant and adds a scalar constant before assigning the results to
+    elements in a one-dimensional output ndarray.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a one-dimensional output ndarray.
+        - a zero-dimensional ndarray containing the scalar constant to
+        multiply.
+        - a zero-dimensional ndarray containing the scalar constant to add.
+
+    Returns
+    -------
+    out: ndarray
+        Output ndarray.
+
+    Examples
+    --------
+    > var xbuf = [ -2.0, 1.0, 3.0, -5.0 ];
+    > var x = {{alias:@stdlib/ndarray/vector/ctor}}( xbuf, 'generic' );
+    > var wbuf = [ 0.0, 0.0, 0.0, 0.0 ];
+    > var w = {{alias:@stdlib/ndarray/vector/ctor}}( wbuf, 'generic' );
+    > var opts = { 'dtype': 'generic' };
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, opts );
+    > var beta = {{alias:@stdlib/ndarray/from-scalar}}( 3.0, opts );
+    > {{alias}}( [ x, w, alpha, beta ] )
+    <ndarray>[ -7.0, 8.0, 18.0, -22.0 ]
+
+    See Also
+    --------
+

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

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+/*
+* @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';
+
+/**
+* Multiplies each element in an input one-dimensional ndarray by a scalar constant and adds a scalar constant before assigning the results to elements in a one-dimensional output ndarray.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a one-dimensional output ndarray.
+*     -   a zero-dimensional ndarray containing the scalar constant to multiply.
+*     -   a zero-dimensional ndarray containing the scalar constant to add.
+*
+* @param arrays - array-like object containing ndarrays
+* @returns output ndarray
+*
+* @example
+* var vector = require( '@stdlib/ndarray/vector/ctor' );
+* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+*
+* var x = vector( [ -2.0, 1.0, 3.0, -5.0 ], 'generic' );
+* var w = vector( [ 0.0, 0.0, 0.0, 0.0 ], 'generic' );
+*
+* var alpha = scalar2ndarray( 5.0, {
+*     'dtype': 'generic'
+* });
+*
+* var beta = scalar2ndarray( 3.0, {
+*     'dtype': 'generic'
+* });
+*
+* var out = gwaxpb( [ x, w, alpha, beta ] );
+* // returns <ndarray>[ -7.0, 8.0, 18.0, -22.0 ]
+*/
+declare function gwaxpb<T extends typedndarray<number> = typedndarray<number>>( arrays: [ typedndarray<number>, T, typedndarray<number>, typedndarray<number> ] ): T;
+
+
+// EXPORTS //
+
+export = gwaxpb;