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https://github.com/stdlib-js/array-base-mskbinary4d

Apply a binary callback to elements in two four-dimensional nested input arrays according to elements in a four-dimensional nested mask array and assign results to elements in a four-dimensional nested output array.
https://github.com/stdlib-js/array-base-mskbinary4d

4d apply array base binary foreach javascript map mask masked matrix multidimensional ndarray node node-js nodejs skip skipped stdlib transform

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Apply a binary callback to elements in two four-dimensional nested input arrays according to elements in a four-dimensional nested mask array and assign results to elements in a four-dimensional nested output array.

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# mskbinary4d

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

> Apply a binary callback to elements in two four-dimensional nested input arrays according to elements in a four-dimensional nested mask array and assign results to elements in a four-dimensional nested output array.

## Installation

```bash
npm install @stdlib/array-base-mskbinary4d
```

Alternatively,

- To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]).
- If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions).
- For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]).

The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.

To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.

## Usage

```javascript
var mskbinary4d = require( '@stdlib/array-base-mskbinary4d' );
```

#### mskbinary4d( arrays, shape, fcn )

Applies a binary callback to elements in two four-dimensional nested input arrays according to elements in a four-dimensional nested mask array and assigns results to elements in a four-dimensional nested output array.

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

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

var mask = [ [ [ [ 0, 1 ], [ 0, 0 ] ] ] ];

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

mskbinary4d( [ x, x, mask, z ], shape, add );
// z => [ [ [ [ 2.0, 0.0 ], [ 6.0, 8.0 ] ] ] ]
```

The function accepts the following arguments:

- **arrays**: array-like object containing two input nested arrays, an input nested mask array, and one output nested array.
- **shape**: array shape.
- **fcn**: binary function to apply.

## Notes

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

## Examples

```javascript
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory;
var bernoulli = require( '@stdlib/random-base-bernoulli' ).factory;
var filled4dBy = require( '@stdlib/array-base-filled4d-by' );
var zeros4d = require( '@stdlib/array-base-zeros4d' );
var add = require( '@stdlib/number-float64-base-add' );
var mskbinary4d = require( '@stdlib/array-base-mskbinary4d' );

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

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

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

var mask = filled4dBy( shape, bernoulli( 0.5 ) );
console.log( mask );

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

mskbinary4d( [ x, y, mask, z ], shape, add );
console.log( z );
```

* * *

## 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 © 2016-2025. The Stdlib [Authors][stdlib-authors].

[npm-image]: http://img.shields.io/npm/v/@stdlib/array-base-mskbinary4d.svg
[npm-url]: https://npmjs.org/package/@stdlib/array-base-mskbinary4d

[test-image]: https://github.com/stdlib-js/array-base-mskbinary4d/actions/workflows/test.yml/badge.svg?branch=main
[test-url]: https://github.com/stdlib-js/array-base-mskbinary4d/actions/workflows/test.yml?query=branch:main

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/array-base-mskbinary4d/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/array-base-mskbinary4d?branch=main

[chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg
[chat-url]: https://app.gitter.im/#/room/#stdlib-js_stdlib:gitter.im

[stdlib]: https://github.com/stdlib-js/stdlib

[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors

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

[deno-url]: https://github.com/stdlib-js/array-base-mskbinary4d/tree/deno
[deno-readme]: https://github.com/stdlib-js/array-base-mskbinary4d/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/array-base-mskbinary4d/tree/umd
[umd-readme]: https://github.com/stdlib-js/array-base-mskbinary4d/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/array-base-mskbinary4d/tree/esm
[esm-readme]: https://github.com/stdlib-js/array-base-mskbinary4d/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/array-base-mskbinary4d/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/array-base-mskbinary4d/main/LICENSE