npm package: @stdlib/array-base-broadcasted-quinary4d
Description: Apply a quinary callback to elements in five broadcasted input arrays and assign results to elements in a four-dimensional nested output array.
Author: The Stdlib Authors
Latest version: 0.1.1

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# bquinary4d

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> Apply a quinary callback to elements in five [broadcasted][@stdlib/array/base/broadcast-array] input arrays and assign results to elements in a four-dimensional nested output array.

<section class="intro">

</section>

<!-- /.intro -->

<section class="installation">

## Installation

```bash
npm install @stdlib/array-base-broadcasted-quinary4d
```

</section>

<section class="usage">

## Usage

```javascript
var bquinary4d = require( '@stdlib/array-base-broadcasted-quinary4d' );
```

#### bquinary4d( arrays, shapes, fcn )

Applies a quinary callback to elements in five [broadcasted][@stdlib/array/base/broadcast-array] input arrays and assigns results to elements in a four-dimensional nested output array.

```javascript
var zeros4d = require( '@stdlib/array-base-zeros4d' );

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

var x = [ [ [ [ 1.0, 2.0 ] ] ] ];
var y = [ [ [ [ 3.0 ], [ 4.0 ] ] ] ];
var z = [ [ [ [ 5.0 ] ] ] ];
var w = [ [ [ [ 2.0 ] ] ] ];
var v = [ [ [ [ 1.0 ] ] ] ];
var out = zeros4d( [ 2, 2, 2, 2 ] );

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

bquinary4d( [ x, y, z, w, v, out ], shapes, add );
// out => [ [ [ [ 12.0, 13.0 ], [ 13.0, 14.0 ] ], [ [ 12.0, 13.0 ], [ 13.0, 14.0 ] ] ], [ [ [ 12.0, 13.0 ], [ 13.0, 14.0 ] ], [ [ 12.0, 13.0 ], [ 13.0, 14.0 ] ] ] ]
```

The function accepts the following arguments:

-   **arrays**: array-like object containing five input nested arrays and one output nested array.
-   **shapes**: array shapes.
-   **fcn**: quinary function to apply.

</section>

<!-- /.usage -->

<section class="notes">

## Notes

-   The input and output array shapes must be broadcast [compatible][@stdlib/ndarray/base/broadcast-shapes].

</section>

<!-- /.notes -->

<section class="examples">

## Examples

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

```javascript
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory;
var filled4dBy = require( '@stdlib/array-base-filled4d-by' );
var zeros4d = require( '@stdlib/array-base-zeros4d' );
var bquinary4d = require( '@stdlib/array-base-broadcasted-quinary4d' );

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

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

var x = filled4dBy( shapes[ 0 ], discreteUniform( -100, 100 ) );
console.log( x );

var y = filled4dBy( shapes[ 1 ], discreteUniform( -100, 100 ) );
console.log( y );

var z = filled4dBy( shapes[ 2 ], discreteUniform( -100, 100 ) );
console.log( z );

var w = filled4dBy( shapes[ 3 ], discreteUniform( -100, 100 ) );
console.log( w );

var v = filled4dBy( shapes[ 4 ], discreteUniform( -100, 100 ) );
console.log( v );

var out = zeros4d( shapes[ 5 ] );
console.log( out );

bquinary4d( [ x, y, z, w, v, out ], shapes, add );
console.log( out );
```

</section>

<!-- /.examples -->

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<section class="related">

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* * *

## Notice

This package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].

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---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

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