npm package: @stdlib/array-base-broadcasted-quaternary4d
Description: Apply a quaternary callback to elements in four broadcasted input arrays and assign results to elements in a four-dimensional nested output array.
Author: The Stdlib Authors
Latest version: 0.0.1

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# bquaternary4d

[![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 quaternary callback to elements in four [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-quaternary4d
```

</section>

<section class="usage">

## Usage

```javascript
var bquaternary4d = require( '@stdlib/array-base-broadcasted-quaternary4d' );
```

#### bquaternary4d( arrays, shapes, fcn )

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

```javascript
var add = require( '@stdlib/number-float64-base-add4' );
var zeros4d = require( '@stdlib/array-base-zeros4d' );

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

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

bquaternary4d( [ x, y, z, w, out ], shapes, add );
// out => [ [ [ [ 11.0, 12.0 ], [ 12.0, 13.0 ] ], [ [ 11.0, 12.0 ], [ 12.0, 13.0 ] ] ] ]
```

The function accepts the following arguments:

-   **arrays**: array-like object containing four input nested arrays and one output nested array.
-   **shapes**: array shapes.
-   **fcn**: quaternary 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 add = require( '@stdlib/number-float64-base-add4' );
var bquaternary4d = require( '@stdlib/array-base-broadcasted-quaternary4d' );

var shapes = [
    [ 1, 1, 3, 1 ],
    [ 3, 1, 1, 1 ],
    [ 1, 1, 1, 3 ],
    [ 1, 3, 1, 1 ],
    [ 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 out = zeros4d( shapes[ 4 ] );
console.log( out );

bquaternary4d( [ x, y, z, w, out ], shapes, add );
console.log( out );
```

</section>

<!-- /.examples -->

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<section class="related">

</section>

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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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