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Apply a unary callback to elements in a four-dimensional nested input array and assign results to elements in a four-dimensional nested output array.
npm install @stdlib/array-base-unary4d
var unary4d = require( '@stdlib/array-base-unary4d' );
Applies a unary callback to elements in a four-dimensional nested input array and assigns results to elements in a four-dimensional nested output array.
var abs = require( '@stdlib/math-base-special-abs' );
var x = [ [ [ [ -1.0, -2.0 ], [ -3.0, -4.0 ] ] ] ];
var shape = [ 1, 1, 2, 2 ];
// Compute the absolute values in-place:
unary4d( [ x, x ], shape, abs );
// x => [ [ [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] ] ]
The function accepts the following arguments:
- arrays: array-like object containing one input nested array and one output nested array.
- shape: array shape.
- fcn: unary function to apply.
- The function assumes that the input and output arrays have the same shape.
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 abs = require( '@stdlib/math-base-special-abs' );
var unary4d = require( '@stdlib/array-base-unary4d' );
var shape = [ 2, 2, 3, 3 ];
var x = filled4dBy( shape, discreteUniform( -100, 100 ) );
console.log( x );
var y = zeros4d( shape );
console.log( y );
unary4d( [ x, y ], shape, abs );
console.log( y );
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.
See LICENSE.
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