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132 changes: 132 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/base/ndarray/sfill-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.

-->

# sfillEqual

> Replace elements in a one-dimensional single-precision 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 sfillEqual = require( '@stdlib/blas/ext/base/ndarray/sfill-equal' );
```

#### sfillEqual( arrays )

Replaces elements in a one-dimensional single-precision floating-point ndarray equal to a provided search element with a specified scalar constant.

```javascript
var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );

var x = new Float32Vector( [ 0.0, -2.0, 3.0, 0.0, 4.0, -6.0 ] );

var searchElement = scalar2ndarray( 0.0, {
'dtype': 'float32'
});

var alpha = scalar2ndarray( 5.0, {
'dtype': 'float32'
});

sfillEqual( [ x, searchElement, alpha ] );
// x => <ndarray>[ 5.0, -2.0, 3.0, 5.0, 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 using the strict equality operator `===`. As a consequence, `NaN` values are considered distinct and `-0` and `+0` are considered the same.

</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 sfillEqual = require( '@stdlib/blas/ext/base/ndarray/sfill-equal' );

var opts = {
'dtype': 'float32'
};

var x = discreteUniform( [ 10 ], 0, 3, opts );
console.log( ndarray2array( x ) );

var searchElement = scalar2ndarray( 1.0, opts );
console.log( 'Search Element: %d', ndarraylike2scalar( searchElement ) );

var alpha = scalar2ndarray( 5.0, opts );
console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );

sfillEqual( [ 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 -->
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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 Float32Vector = require( '@stdlib/ndarray/vector/float32' );
var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
var sfill = require( '@stdlib/blas/ext/base/sfill' );
var pow = require( '@stdlib/math/base/special/pow' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var sfillEqual = 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;

xbuf = uniform( len, -100.0, 100.0, options );
sfill( len, 0.0, xbuf, 3 );
x = new Float32Vector( xbuf );
searchElement = [
scalar2ndarray( 0.0, options ),
scalar2ndarray( 1.0, options )
];
alpha = [
scalar2ndarray( 1.0, options ),
scalar2ndarray( 0.0, 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 = sfillEqual( [ 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();
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{{alias}}( arrays )
Replaces elements in a one-dimensional single-precision 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 using the strict
equality operator `===`. As a consequence, `NaN` values are considered
distinct 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/float32}}( [ 0.0, -2.0, 3.0, 0.0, 4.0, -6.0 ] );
> var v = {{alias:@stdlib/ndarray/from-scalar}}( 0.0, { 'dtype': 'float32' } );
> var alpha = {{alias:@stdlib/ndarray/from-scalar}}( 5.0, { 'dtype': 'float32' } );
> {{alias}}( [ x, v, alpha ] )
<ndarray>[ 5.0, -2.0, 3.0, 5.0, 4.0, -6.0 ]

See Also
--------

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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 { float32ndarray, typedndarray } from '@stdlib/types/ndarray';

/**
* Replaces elements in a one-dimensional single-precision 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 using the strict equality operator `===`. As a consequence, `NaN` values are considered distinct and `-0` and `+0` are considered the same.
*
* @param arrays - array-like object containing ndarrays
* @returns input ndarray
*
* @example
* var Float32Vector = require( '@stdlib/ndarray/vector/float32' );
* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
*
* var x = new Float32Vector( [ 0.0, -2.0, 3.0, 0.0, 4.0, -6.0 ] );
*
* var searchElement = scalar2ndarray( 0.0, {
* 'dtype': 'float32'
* });
*
* var alpha = scalar2ndarray( 5.0, {
* 'dtype': 'float32'
* });
*
* var out = sfillEqual( [ x, searchElement, alpha ] );
* // returns <ndarray>[ 5.0, -2.0, 3.0, 5.0, 4.0, -6.0 ]
*/
declare function sfillEqual( arrays: [ float32ndarray, typedndarray<number>, typedndarray<number> ] ): float32ndarray;


// EXPORTS //

export = sfillEqual;
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