npm package: @stdlib/array-base-quinary4d
Description: Apply a quinary callback to elements in five four-dimensional nested input arrays and assign results to elements in a four-dimensional nested output array.
Author: The Stdlib Authors
Latest version: 0.2.3

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# quinary4d

[![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 four-dimensional nested input arrays and assign results to elements in a four-dimensional nested output array.

<section class="intro">

</section>

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<section class="installation">

## Installation

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

</section>

<section class="usage">

## Usage

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

#### quinary4d( arrays, shape, fcn )

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

```javascript
var add = require( '@stdlib/number-float64-base-add5' );
var zeros4d = require( '@stdlib/array-base-zeros4d' );

var x = [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ];
var out = zeros4d( [ 1, 1, 2, 2 ] );

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

quinary4d( [ x, x, x, x, x, out ], shape, add );
// out => [ [ [ [ 5.0, 10.0 ], [ 15.0, 20.0 ] ] ] ]
```

The function accepts the following arguments:

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

</section>

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<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 filled4dBy = require( '@stdlib/array-base-filled4d-by' );
var zeros4d = require( '@stdlib/array-base-zeros4d' );
var add = require( '@stdlib/number-float64-base-add5' );
var quinary4d = require( '@stdlib/array-base-quinary4d' );

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

var x = filled4dBy( shape, discreteUniform( -100, 100 ) );
console.log( x );

var y = filled4dBy( shape, discreteUniform( -100, 100 ) );
console.log( y );

var z = filled4dBy( shape, discreteUniform( -100, 100 ) );
console.log( z );

var w = filled4dBy( shape, discreteUniform( -100, 100 ) );
console.log( w );

var v = filled4dBy( shape, discreteUniform( -100, 100 ) );
console.log( v );

var out = zeros4d( shape );
console.log( out );

quinary4d( [ x, y, z, w, v, out ], shape, add );
console.log( out );
```

</section>

<!-- /.examples -->

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</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].

#### Community

[![Chat][chat-image]][chat-url]

---

## License

See [LICENSE][stdlib-license].


## Copyright

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

</section>

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[umd]: https://github.com/umdjs/umd
[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules

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