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feat: add array/base/ternary5d
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131 changes: 131 additions & 0 deletions lib/node_modules/@stdlib/array/base/ternary5d/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.
-->

# ternary5d

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

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var ternary5d = require( '@stdlib/array/base/ternary5d' );
```

#### ternary5d( arrays, shape, fcn )

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

```javascript
var zeros5d = require( '@stdlib/array/base/zeros5d' );

function add( x, y, z ) {
return x + y + z;
}

var x = [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ];
var out = zeros5d( [ 1, 1, 1, 2, 2 ] );

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

ternary5d( [ x, x, x, out ], shape, add );
// out => [ [ [ [ [ 3.0, 6.0 ], [ 9.0, 12.0 ] ] ] ] ]
```

The function accepts the following arguments:

- **arrays**: array-like object containing three input nested arrays and one output nested array.
- **shape**: array shape.
- **fcn**: ternary 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 ternary5d = require( '@stdlib/array/base/ternary5d' );

function add( x, y, z ) {
return x + y + z;
}

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

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

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

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

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

ternary5d( [ x, y, z, out ], shape, add );
console.log( out );
```

</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 -->
141 changes: 141 additions & 0 deletions lib/node_modules/@stdlib/array/base/ternary5d/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 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 ternary5d = require( './../lib' );


// FUNCTIONS //

/**
* Returns the sum.
*
* @private
* @param {number} x - first value
* @param {number} y - second value
* @param {number} z - third value
* @returns {number} sum
*/
function add( x, y, z ) {
return x + y + z;
}

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

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

arrays = [ x, y, z, out ];

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++ ) {
ternary5d( arrays, shape, add );
i4 = i % shape[ 0 ];
i3 = i % shape[ 1 ];
i2 = i % shape[ 2 ];
i1 = i % shape[ 3 ];
i0 = i % shape[ 4 ];
if ( isnan( arrays[ 3 ][ 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[ 3 ][ 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();
33 changes: 33 additions & 0 deletions lib/node_modules/@stdlib/array/base/ternary5d/docs/repl.txt
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{{alias}}( arrays, shape, fcn )
Applies a ternary callback to elements in three five-dimensional nested
input arrays and assigns results to elements in a five-dimensional nested
output array.

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

shape: Array<integer>
Array shape.

fcn: Function
Ternary callback.

Examples
--------
> function fcn( x, y, z ) { return x + y + z };
> var x = [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ];
> var y = [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ];
> var z = [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ];
> var out = [ [ [ [ [ 0.0, 0.0 ], [ 0.0, 0.0 ] ] ] ] ];
> var shape = [ 1, 1, 1, 2, 2 ];
> {{alias}}( [ x, y, z, out ], shape, fcn );
> out
[ [ [ [ [ 3.0, 6.0 ], [ 9.0, 12.0 ] ] ] ] ]

See Also
--------

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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';

/**
* Ternary callback.
*
* @param value - input value
* @returns result
*/
type Ternary<T, U, V, W> = ( v1: T, v2: U, v3: V ) => W;

/**
* Applies a ternary callback to elements in three five-dimensional nested input arrays 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 three input nested arrays and one output nested array
* @param shape - array shape
* @param fcn - ternary callback
*
* @example
* var ones5d = require( `@stdlib/array/base/ones5d` );
* var zeros5d = require( `@stdlib/array/base/zeros5d` );
*
* function add( x, y, z ) {
* return x + y + z;
* }
*
* var shape = [ 1, 1, 1, 2, 2 ];
*
* var x = ones5d( shape );
* var y = ones5d( shape );
* var z = ones5d( shape );
* var out = zeros5d( shape );
*
* ternary5d( [ x, y, z, out ], shape, add );
*
* console.log( out );
* // => [ [ [ [ [ 3.0, 3.0 ], [ 3.0, 3.0 ] ] ] ] ]
*/
declare function ternary5d<T = unknown, U = unknown, V = unknown, W = unknown>( arrays: [ Array5D<T>, Array5D<U>, Array5D<V>, Array5D<W> ], shape: Shape5D, fcn: Ternary<T, U, V, W> ): void;


// EXPORTS //

export = ternary5d;
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