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131 changes: 131 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/base/ndarray/dwxdy/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.

-->

# dwxdy

> Divide elements of a one-dimensional double-precision floating-point ndarray by the corresponding elements of a second one-dimensional double-precision floating-point ndarray and assign the results to elements in a third one-dimensional double-precision floating-point ndarray.

<section class="intro">

This BLAS extension implements the operation

<!-- <equation class="equation" label="eq:wxdy" align="center" raw="\mathbf{w} = \mathbf{x} \oslash \mathbf{y}" alt="Equation for wxdy operation."> -->

```math
\mathbf{w} = \mathbf{x} \oslash \mathbf{y}
```

<!-- </equation> -->

where `⊘` denotes the [Hadamard division][hadamard-division].

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var dwxdy = require( '@stdlib/blas/ext/base/ndarray/dwxdy' );
```

#### dwxdy( arrays )

Divides elements of a one-dimensional double-precision floating-point ndarray by the corresponding elements of a second one-dimensional double-precision floating-point ndarray and assigns the results to elements in a third one-dimensional double-precision floating-point ndarray.

```javascript
var Float64Vector = require( '@stdlib/ndarray/vector/float64' );

var x = new Float64Vector( [ 4.0, 6.0, 12.0, 20.0, 30.0 ] );
var y = new Float64Vector( [ 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var w = new Float64Vector( 5 );

dwxdy( [ x, y, w ] );
// w => <ndarray>[ 2.0, 2.0, 3.0, 4.0, 5.0 ]
```

The function has the following parameters:

- **arrays**: array-like object containing the following ndarrays:

- first one-dimensional input ndarray.
- second one-dimensional input ndarray.
- a one-dimensional output 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 dwxdy = require( '@stdlib/blas/ext/base/ndarray/dwxdy' );

var opts = {
'dtype': 'float64'
};

var x = discreteUniform( [ 10 ], -100, 100, opts );
console.log( ndarray2array( x ) );

var y = discreteUniform( [ 10 ], 1, 100, opts );
console.log( ndarray2array( y ) );

var w = discreteUniform( [ 10 ], -100, 100, opts );

dwxdy( [ x, y, w ] );
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">

[hadamard-division]: https://en.wikipedia.org/wiki/Hadamard_product_(matrices)#Analogous_operations

</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/uniform' );
var pow = require( '@stdlib/math/base/special/pow' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var dwxdy = require( './../lib' );


// VARIABLES //

var options = {
'dtype': 'float64'
};


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - ndarray length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var x = uniform( [ len ], -100.0, 100.0, options );
var y = uniform( [ len ], 1.0, 100.0, options );
var w = uniform( [ len ], -100.0, 100.0, 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 = dwxdy( [ x, y, w ] );
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();
33 changes: 33 additions & 0 deletions lib/node_modules/@stdlib/blas/ext/base/ndarray/dwxdy/docs/repl.txt
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{{alias}}( arrays )
Divides elements of a one-dimensional double-precision floating-point
ndarray by the corresponding elements of a second one-dimensional double-
precision floating-point ndarray and assigns the results to elements in a
third one-dimensional double-precision floating-point ndarray.

Parameters
----------
arrays: ArrayLikeObject<ndarray>
Array-like object containing the following ndarrays:

- first one-dimensional input ndarray.
- second one-dimensional input ndarray.
- a one-dimensional output ndarray.

Returns
-------
out: ndarray
Output ndarray.

Examples
--------
> var xbuf = [ 4.0, 6.0, 12.0, 20.0 ];
> var x = new {{alias:@stdlib/ndarray/vector/float64}}( xbuf );
> var ybuf = [ 2.0, 3.0, 4.0, 5.0 ];
> var y = new {{alias:@stdlib/ndarray/vector/float64}}( ybuf );
> var w = new {{alias:@stdlib/ndarray/vector/float64}}( 4 );
> {{alias}}( [ x, y, w ] )
<ndarray>[ 2.0, 2.0, 3.0, 4.0 ]

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 { float64ndarray } from '@stdlib/types/ndarray';

/**
* Divides elements of a one-dimensional double-precision floating-point ndarray by the corresponding elements of a second one-dimensional double-precision floating-point ndarray and assigns the results to elements in a third one-dimensional double-precision floating-point ndarray.
*
* ## Notes
*
* - The function expects the following ndarrays:
*
* - first one-dimensional input ndarray.
* - second one-dimensional input ndarray.
* - a one-dimensional output ndarray.
*
* @param arrays - array-like object containing ndarrays
* @returns output ndarray
*
* @example
* var Float64Vector = require( '@stdlib/ndarray/vector/float64' );
*
* var x = new Float64Vector( [ 4.0, 6.0, 12.0, 20.0, 30.0 ] );
* var y = new Float64Vector( [ 2.0, 3.0, 4.0, 5.0, 6.0 ] );
* var w = new Float64Vector( 5 );
*
* var out = dwxdy( [ x, y, w ] );
* // returns <ndarray>[ 2.0, 2.0, 3.0, 4.0, 5.0 ]
*/
declare function dwxdy( arrays: [ float64ndarray, float64ndarray, float64ndarray ] ): float64ndarray;


// EXPORTS //

export = dwxdy;
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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.
*/

/* eslint-disable space-in-parens */

import zeros = require( '@stdlib/ndarray/zeros' );
import dwxdy = require( './index' );


// TESTS //

// The function returns an ndarray...
{
const x = zeros( [ 10 ], {
'dtype': 'float64'
});
const y = zeros( [ 10 ], {
'dtype': 'float64'
});
const w = zeros( [ 10 ], {
'dtype': 'float64'
});

dwxdy( [ x, y, w ] ); // $ExpectType float64ndarray
}

// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
{
dwxdy( '10' ); // $ExpectError
dwxdy( 5 ); // $ExpectError
dwxdy( true ); // $ExpectError
dwxdy( false ); // $ExpectError
dwxdy( null ); // $ExpectError
dwxdy( undefined ); // $ExpectError
dwxdy( [] ); // $ExpectError
dwxdy( {} ); // $ExpectError
dwxdy( ( x: number ): number => x ); // $ExpectError
}

// The compiler throws an error if the function is provided an unsupported number of arguments...
{
const x = zeros( [ 10 ], {
'dtype': 'float64'
});
const y = zeros( [ 10 ], {
'dtype': 'float64'
});
const w = zeros( [ 10 ], {
'dtype': 'float64'
});

dwxdy(); // $ExpectError
dwxdy( [ x, y, w ], {} ); // $ExpectError
}
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