feat: add blas/ext/base/ndarray/cfill-equal

lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-equal/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.
+
+-->
+
+# cfillEqual
+
+> Replace elements in a one-dimensional single-precision complex floating-point ndarray equal to a provided search element with a specified scalar constant.
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var cfillEqual = require( '@stdlib/blas/ext/base/ndarray/cfill-equal' );
+```
+
+#### cfillEqual( arrays )
+
+Replaces elements in a one-dimensional single-precision complex floating-point ndarray equal to a provided search element with a specified scalar constant.
+
+```javascript
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+
+var x = new Complex64Vector( [ 0.0, 0.0, -2.0, 3.0, 0.0, 0.0, 4.0, -6.0 ] );
+
+var searchElement = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+    'dtype': 'complex64'
+});
+
+var alpha = scalar2ndarray( new Complex64( 5.0, 5.0 ), {
+    'dtype': 'complex64'
+});
+
+cfillEqual( [ x, searchElement, alpha ] );
+// x => <ndarray>[ <Complex64>[ 5.0, 5.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ 5.0, 5.0 ], <Complex64>[ 4.0, -6.0 ] ]
+```
+
+The function has the following parameters:
+
+-   **arrays**: array-like object containing the following ndarrays:
+
+    -   a one-dimensional input ndarray.
+    -   a zero-dimensional ndarray containing the search element.
+    -   a zero-dimensional ndarray containing the scalar constant.
+
+</section>
+
+<!-- /.usage -->
+
+<section class="notes">
+
+## Notes
+
+-   The input ndarray is modified **in-place** (i.e., the input ndarray is **mutated**).
+-   When comparing elements, the function checks for equality of real and imaginary components using the strict equality operator `===`. As a consequence, `NaN` components are considered distinct (i.e., as `NaN === NaN` always evaluates to `false`, elements having one or more `NaN` components are never replaced), and `-0` and `+0` are considered the same.
+
+</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 ndarraylike2scalar = require( '@stdlib/ndarray/ndarraylike2scalar' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var cfillEqual = require( '@stdlib/blas/ext/base/ndarray/cfill-equal' );
+
+var opts = {
+    'dtype': 'float32'
+};
+
+var x = new Complex64Vector( discreteUniform( 20, 0, 2, opts ) );
+console.log( ndarray2array( x ) );
+
+var searchElement = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+    'dtype': 'complex64'
+});
+console.log( 'Search Element:', ndarraylike2scalar( searchElement ) );
+
+var alpha = scalar2ndarray( new Complex64( 5.0, 5.0 ), {
+    'dtype': 'complex64'
+});
+console.log( 'Alpha:', ndarraylike2scalar( alpha ) );
+
+cfillEqual( [ x, searchElement, alpha ] );
+console.log( ndarray2array( x ) );
+```
+
+</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/cfill-equal/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/array/uniform' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
+var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
+var Complex64 = require( '@stdlib/complex/float32/ctor' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var cfillEqual = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+	'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - ndarray length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+	var searchElement;
+	var alpha;
+	var xbuf;
+	var x;
+	var i;
+
+	xbuf = uniform( len*2, -100.0, 100.0, options );
+	for ( i = 0; i < len*2; i += 6 ) {
+		xbuf[ i ] = 0.0;
+		xbuf[ i+1 ] = 0.0;
+	}
+	x = new Complex64Vector( xbuf.buffer );
+	searchElement = [
+		scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+			'dtype': 'complex64'
+		}),
+		scalar2ndarray( new Complex64( 1.0, 1.0 ), {
+			'dtype': 'complex64'
+		})
+	];
+	alpha = [
+		scalar2ndarray( new Complex64( 1.0, 1.0 ), {
+			'dtype': 'complex64'
+		}),
+		scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+			'dtype': 'complex64'
+		})
+	];
+	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 = cfillEqual( [ x, searchElement[ i%2 ], alpha[ i%2 ] ] );
+			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/cfill-equal/docs/repl.txt

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+
+{{alias}}( arrays )
+    Replaces elements in a one-dimensional single-precision complex floating-
+    point ndarray equal to a provided search element with a specified scalar
+    constant.
+
+    The input ndarray is modified *in-place* (i.e., the input ndarray is
+    *mutated*).
+
+    When comparing elements, the function checks for equality of real and
+    imaginary components using the strict equality operator `===`. As a
+    consequence, `NaN` components are considered distinct (i.e., as
+    `NaN === NaN` always evaluates to `false`, elements having one or more
+    `NaN` components are never replaced), and `-0` and `+0` are considered the
+    same.
+
+    Parameters
+    ----------
+    arrays: ArrayLikeObject<ndarray>
+        Array-like object containing the following ndarrays:
+
+        - a one-dimensional input ndarray.
+        - a zero-dimensional ndarray containing the search element.
+        - a zero-dimensional ndarray containing the scalar constant.
+
+    Returns
+    -------
+    out: ndarray
+        Input ndarray.
+
+    Examples
+    --------
+    > var x = new {{alias:@stdlib/ndarray/vector/complex64}}( [ 0.0, 0.0, -2.0, 3.0 ] );
+    > var s = new {{alias:@stdlib/complex/float32/ctor}}( 0.0, 0.0 );
+    > var v = {{alias:@stdlib/ndarray/from-scalar}}( s, { 'dtype': 'complex64' } );
+    > var a = new {{alias:@stdlib/complex/float32/ctor}}( 5.0, 5.0 );
+    > var alpha = {{alias:@stdlib/ndarray/from-scalar}}( a, { 'dtype': 'complex64' } );
+    > {{alias}}( [ x, v, alpha ] )
+    <ndarray>[ <Complex64>[ 5.0, 5.0 ], <Complex64>[ -2.0, 3.0 ] ]
+
+    See Also
+    --------

lib/node_modules/@stdlib/blas/ext/base/ndarray/cfill-equal/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 { complex64ndarray, typedndarray } from '@stdlib/types/ndarray';
+import { Complex64 } from '@stdlib/types/complex';
+
+/**
+* Replaces elements in a one-dimensional single-precision complex floating-point ndarray equal to a provided search element with a specified scalar constant.
+*
+* ## Notes
+*
+* -   The function expects the following ndarrays:
+*
+*     -   a one-dimensional input ndarray.
+*     -   a zero-dimensional ndarray containing the search element.
+*     -   a zero-dimensional ndarray containing the scalar constant.
+*
+* -   When comparing elements, the function checks for equality of real and imaginary components using the strict equality operator `===`. As a consequence, `NaN` components are considered distinct (i.e., as `NaN === NaN` always evaluates to `false`, elements having one or more `NaN` components are never replaced), and `-0` and `+0` are considered the same.
+*
+* @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 Complex64 = require( '@stdlib/complex/float32/ctor' );
+*
+* var x = new Complex64Vector( [ 0.0, 0.0, -2.0, 3.0, 0.0, 0.0, 4.0, -6.0 ] );
+*
+* var searchElement = scalar2ndarray( new Complex64( 0.0, 0.0 ), {
+*     'dtype': 'complex64'
+* });
+*
+* var alpha = scalar2ndarray( new Complex64( 5.0, 5.0 ), {
+*     'dtype': 'complex64'
+* });
+*
+* var out = cfillEqual( [ x, searchElement, alpha ] );
+* // returns <ndarray>[ <Complex64>[ 5.0, 5.0 ], <Complex64>[ -2.0, 3.0 ], <Complex64>[ 5.0, 5.0 ], <Complex64>[ 4.0, -6.0 ] ]
+*/
+declare function cfillEqual( arrays: [ complex64ndarray, typedndarray<Complex64>, typedndarray<Complex64> ] ): complex64ndarray;
+
+
+// EXPORTS //
+
+export = cfillEqual;