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feat: add array/base/unary5d
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kgryte committed Aug 27, 2023
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117 changes: 117 additions & 0 deletions lib/node_modules/@stdlib/array/base/unary5d/README.md
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<!--
@license Apache-2.0
Copyright (c) 2023 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.
-->

# unary5d

> Apply a unary callback to elements in a five-dimensional nested input array and assign results to elements in a five-dimensional nested output array.
<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var unary5d = require( '@stdlib/array/base/unary5d' );
```

#### unary5d( arrays, shape, fcn )

Applies a unary callback to elements in a five-dimensional nested input array and assigns results to elements in a five-dimensional nested output array.

```javascript
var abs = require( '@stdlib/math/base/special/abs' );

var x = [ [ [ [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] ] ] ];
var shape = [ 1, 1, 1, 2, 2 ];

// Compute the absolute values in-place:
unary5d( [ x, x ], shape, abs );
// x => [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ]
```

The function accepts the following arguments:

- **arrays**: array-like object containing one input nested array and one output nested array.
- **shape**: array shape.
- **fcn**: unary function to apply.

</section>

<!-- /.usage -->

<section class="notes">

## Notes

- The function assumes that the input and output arrays have the same shape.

</section>

<!-- /.notes -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var discreteUniform = require( '@stdlib/random/base/discrete-uniform' ).factory;
var filled5dBy = require( '@stdlib/array/base/filled5d-by' );
var zeros5d = require( '@stdlib/array/base/zeros5d' );
var abs = require( '@stdlib/math/base/special/abs' );
var unary5d = require( '@stdlib/array/base/unary5d' );

var shape = [ 2, 1, 2, 3, 3 ];

var x = filled5dBy( shape, discreteUniform( -100, 100 ) );
console.log( x );

var y = zeros5d( shape );
console.log( y );

unary5d( [ x, y ], shape, abs );
console.log( y );
```

</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 -->
125 changes: 125 additions & 0 deletions lib/node_modules/@stdlib/array/base/unary5d/benchmark/benchmark.js
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/**
* @license Apache-2.0
*
* Copyright (c) 2023 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/base/uniform' ).factory;
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
var floor = require( '@stdlib/math/base/special/floor' );
var identity = require( '@stdlib/math/base/special/identity' );
var filled5dBy = require( '@stdlib/array/base/filled5d-by' );
var zeros5d = require( '@stdlib/array/base/zeros5d' );
var numel = require( '@stdlib/ndarray/base/numel' );
var pkg = require( './../package.json' ).name;
var unary5d = require( './../lib' );


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveIntegerArray} shape - array shape
* @returns {Function} benchmark function
*/
function createBenchmark( shape ) {
var arrays;
var x;
var y;

x = filled5dBy( shape, uniform( -100.0, 100.0 ) );
y = zeros5d( shape );

arrays = [ x, y ];

return benchmark;

/**
* Benchmark function.
*
* @private
* @param {Benchmark} b - benchmark instance
*/
function benchmark( b ) {
var i0;
var i1;
var i2;
var i3;
var i4;
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
unary5d( arrays, shape, identity );
i4 = i % shape[ 0 ];
i3 = i % shape[ 1 ];
i2 = i % shape[ 2 ];
i1 = i % shape[ 3 ];
i0 = i % shape[ 4 ];
if ( isnan( arrays[ 1 ][ i4 ][ i3 ][ i2 ][ i1 ][ i0 ] ) ) {
b.fail( 'should not return NaN' );
}
}
b.toc();

i4 = i % shape[ 0 ];
i3 = i % shape[ 1 ];
i2 = i % shape[ 2 ];
i1 = i % shape[ 3 ];
i0 = i % shape[ 4 ];
if ( isnan( arrays[ 1 ][ i4 ][ i3 ][ i2 ][ i1 ][ i0 ] ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
}
}


// MAIN //

/**
* Main execution sequence.
*
* @private
*/
function main() {
var min;
var max;
var sh;
var N;
var f;
var i;

min = 1; // 10^min
max = 6; // 10^max

for ( i = min; i <= max; i++ ) {
N = floor( pow( pow( 10, i ), 1.0/5.0 ) );
sh = [ N, N, N, N, N ];
f = createBenchmark( sh );
bench( pkg+'::equidimensional:size='+numel( sh ), f );
}
}

main();
30 changes: 30 additions & 0 deletions lib/node_modules/@stdlib/array/base/unary5d/docs/repl.txt
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{{alias}}( arrays, shape, fcn )
Applies a unary callback to elements in a five-dimensional nested input
array and assigns results to elements in a five-dimensional nested output
array.

Parameters
----------
arrays: ArrayLikeObject
Array-like object containing one input nested array and one output
nested array.

shape: Array<integer>
Array shape.

fcn: Function
Unary callback.

Examples
--------
> var x = [ [ [ [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] ] ] ];
> var y = [ [ [ [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] ] ] ];
> var shape = [ 1, 1, 1, 2, 2 ];
> {{alias}}( [ x, y ], shape, {{alias:@stdlib/math/base/special/abs}} );
> y
[ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ]

See Also
--------

68 changes: 68 additions & 0 deletions lib/node_modules/@stdlib/array/base/unary5d/docs/types/index.d.ts
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/*
* @license Apache-2.0
*
* Copyright (c) 2023 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 { Array5D } from '@stdlib/types/array';
import { Shape5D } from '@stdlib/types/ndarray';

/**
* Unary callback.
*
* @param value - input value
* @returns result
*/
type Unary<T, U> = ( value: T ) => U;

/**
* Applies a unary callback to elements in a five-dimensional nested input array and assigns results to elements in a five-dimensional nested output array.
*
* ## Notes
*
* - The function assumes that the input and output arrays have the same shape.
*
* @param arrays - array containing one input nested array and one output nested array
* @param shape - array shape
* @param fcn - unary callback
*
* @example
* var ones5d = require( `@stdlib/array/base/ones5d` );
* var zeros5d = require( `@stdlib/array/base/zeros5d` );
*
* function scale( x ) {
* return x * 10.0;
* }
*
* var shape = [ 1, 1, 1, 2, 2 ];
*
* var x = ones5d( shape );
* var y = zeros5d( shape );
*
* unary5d( [ x, y ], shape, scale );
*
* console.log( y );
* // => [ [ [ [ [ 10.0, 10.0 ], [ 10.0, 10.0 ] ] ] ] ]
*/
declare function unary5d<T = unknown, U = unknown>( arrays: [ Array5D<T>, Array5D<U> ], shape: Shape5D, fcn: Unary<T, U> ): void;


// EXPORTS //

export = unary5d;
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