@stdlib/array-base-map5d

About stdlib...

We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.

The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.

When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!

map5d

Apply a function to elements in a five-dimensional nested input array and assign results to elements in a new five-dimensional nested output array.

Installation

npm install @stdlib/array-base-map5d

Usage

var map5d = require( '@stdlib/array-base-map5d' );

map5d( x, shape, fcn[, thisArg] )

Applies a function to elements in a five-dimensional nested input array and assigns results to elements in a new five-dimensional nested output array.

var naryFunction = require( '@stdlib/utils-nary-function' );
var abs = require( '@stdlib/math-base-special-abs' );

var x = [ [ [ [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] ] ] ];
var shape = [ 1, 1, 1, 2, 2 ];

var y = map5d( x, shape, naryFunction( abs, 1 ) );
// returns [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ]

The function accepts the following arguments:

• x: input nested array.
• shape: array shape.
• fcn: function to apply.
• thisArg: applied function execution context (optional).

To set the applied function's execution context, provide a thisArg.

function fcn( x ) {
    this.count += 1;
    return x;
}

var x = [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ];
var shape = [ 1, 1, 1, 2, 2 ];

var ctx = {
    'count': 0
};

var y = map5d( x, shape, fcn, ctx );
// returns [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ]

var v = ctx.count;
// returns 4

map5d.assign( x, y, shape, fcn[, thisArg] )

Applies a function to elements in a five-dimensional nested input array and assigns results to elements in a five-dimensional nested output array.

var naryFunction = require( '@stdlib/utils-nary-function' );
var zeros5d = require( '@stdlib/array-base-zeros5d' );
var abs = require( '@stdlib/math-base-special-abs' );

var x = [ [ [ [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] ] ] ];
var shape = [ 1, 1, 1, 2, 2 ];

var y = zeros5d( shape );

var out = map5d.assign( x, y, shape, naryFunction( abs, 1 ) );
// returns [ [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ] ]

var bool = ( out === y );
// returns true

The function accepts the following arguments:

• x: input nested array.
• y: output nested array.
• shape: array shape.
• fcn: function to apply.
• thisArg: applied function execution context (optional).

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

Examples

var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory;
var filled5dBy = require( '@stdlib/array-base-filled5d-by' );
var naryFunction = require( '@stdlib/utils-nary-function' );
var abs = require( '@stdlib/math-base-special-abs' );
var map5d = require( '@stdlib/array-base-map5d' );

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

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

var y = map5d( x, shape, naryFunction( abs, 1 ) );
console.log( y );

---

Notice

This package is part of 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, see the main project repository.

Community

---

License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.