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Apply a quinary callback to elements in five broadcasted input arrays and assign results to elements in a two-dimensional nested output array.

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stdlib-js/array-base-broadcasted-quinary2d

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bquinary2d

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Apply a quinary callback to elements in four broadcasted nested input arrays and assign results to elements in a two-dimensional nested output array.

Installation

npm install @stdlib/array-base-broadcasted-quinary2d

Alternatively,

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

The branches.md 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

var bquinary2d = require( '@stdlib/array-base-broadcasted-quinary2d' );

bquinary2d( arrays, shapes, fcn )

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

var zeros2d = require( '@stdlib/array-base-zeros2d' );

function add( x, y, z, w, v ) {
    return x + y + z + w + v;
}

var x = [ [ 1.0, 2.0 ] ];
var y = [ [ 3.0 ], [ 4.0 ] ];
var z = [ [ 5.0 ] ];
var w = [ [ 2.0 ] ];
var v = [ [ 1.0 ] ];
var out = zeros2d( [ 2, 2 ] );

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

bquinary2d( [ x, y, z, w, v, out ], shapes, add );
// out => [ [ 12.0, 13.0 ], [ 13.0, 14.0 ] ]

The function accepts the following arguments:

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

Notes

  • The input and output array shapes must be broadcast compatible.

Examples

var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory;
var filled2dBy = require( '@stdlib/array-base-filled2d-by' );
var zeros2d = require( '@stdlib/array-base-zeros2d' );
var bquinary2d = require( '@stdlib/array-base-broadcasted-quinary2d' );

function add( x, y, z, w, v ) {
    return x + y + z + w + v;
}

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

var x = filled2dBy( shapes[ 0 ], discreteUniform( -100, 100 ) );
console.log( x );

var y = filled2dBy( shapes[ 1 ], discreteUniform( -100, 100 ) );
console.log( y );

var z = filled2dBy( shapes[ 2 ], discreteUniform( -100, 100 ) );
console.log( z );

var w = filled2dBy( shapes[ 3 ], discreteUniform( -100, 100 ) );
console.log( w );

var v = filled2dBy( shapes[ 4 ], discreteUniform( -100, 100 ) );
console.log( v );

var out = zeros2d( shapes[ 5 ] );
console.log( out );

bquinary2d( [ x, y, z, w, v, out ], shapes, add );
console.log( out );

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.

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License

See LICENSE.

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