JSPM

@stdlib/ndarray-base-unary

0.0.1
  • ESM via JSPM
  • ES Module Entrypoint
  • Export Map
  • Keywords
  • License
  • Repository URL
  • TypeScript Types
  • README
  • Created
  • Published
  • Downloads 23
  • Score
    100M100P100Q64226F
  • License Apache-2.0

Apply a unary callback to elements in a input ndarray and assign results to elements in an output ndarray.

Package Exports

  • @stdlib/ndarray-base-unary

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/ndarray-base-unary) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Unary

NPM version Build Status Coverage Status dependencies

Apply a unary callback to elements in a input ndarray and assign results to elements in an output ndarray.

Installation

npm install @stdlib/ndarray-base-unary

Usage

var unary = require( '@stdlib/ndarray-base-unary' );

unary( arrays, fcn )

Applies a unary callback to elements in a input ndarray and assign results to elements in an output ndarray.

var Float64Array = require( '@stdlib/array-float64' );
var unary = require( '@stdlib/ndarray-base-unary' );

function scale( x ) {
    return x * 10.0;
}

// Create data buffers:
var arr = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ];
var xbuf = new Float64Array( arr);
var ybuf = new Float64Array( 6 );

// Define the shape of the input and output arrays:
var shape = [ 3, 1, 2 ];

// Define the array strides:
var sx = [ 4, 4, 1 ];
var sy = [ 2, 2, 1 ];

// Define the index offsets:
var ox = 1;
var oy = 0;

// Create the input and output ndarray-like objects:
var x = {
    'dtype': 'float64',
    'data': xbuf,
    'shape': shape,
    'strides': sx,
    'offset': ox,
    'order': 'row-major'
};
var y = {
    'dtype': 'float64',
    'data': ybuf,
    'shape': shape,
    'strides': sy,
    'offset': oy,
    'order': 'row-major'
};

// Apply the unary function:
unary( [ x, y ], scale );

console.log( y.data );
// => <Float64Array>[ 20.0, 30.0, 60.0, 70.0, 100.0, 110.0 ]

Examples

var discreteUniform = require( '@stdlib/random-base-discrete-uniform' ).factory;
var filledarray = require( '@stdlib/array-filled' );
var gfillBy = require( '@stdlib/blas-ext-base-gfill-by' );
var shape2strides = require( '@stdlib/ndarray-base-shape2strides' );
var ndarray2array = require( '@stdlib/ndarray-base-to-array' );
var unary = require( '@stdlib/ndarray-base-unary' );

function scale( x ) {
    return x * 10;
}

var N = 10;

var xbuf = filledarray( 0, N, 'generic' );
gfillBy( xbuf.length, xbuf, 1, discreteUniform( -100, 100 ) );

var x = {
    'dtype': 'generic',
    'data': xbuf,
    'shape': [ 5, 2 ],
    'strides': [ 2, 1 ],
    'offset': 0,
    'order': 'row-major'
};
var y = {
    'dtype': 'generic',
    'data': filledarray( 0, N, 'generic' ),
    'shape': x.shape.slice(),
    'strides': shape2strides( x.shape, 'column-major' ),
    'offset': 0,
    'order': 'column-major'
};

unary( [ x, y ], scale );
console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );
console.log( ndarray2array( y.data, y.shape, y.strides, y.offset, y.order ) );

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.


License

See LICENSE.

Copyright © 2016-2021. The Stdlib Authors.