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Nullary

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

Usage

import nullary from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-nullary@deno/mod.js';

nullary( arrays, fcn )

Applies a nullary callback and assigns results to elements in an output ndarray.

import Float64Array from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-float64@deno/mod.js';

function fcn() {
    return 10.0;
}

// Create data buffers:
var xbuf = new Float64Array( 12 );

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

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

// Define the index offset:
var ox = 1;

// Create the output ndarray-like object:
var x = {
    'dtype': 'float64',
    'data': xbuf,
    'shape': shape,
    'strides': sx,
    'offset': ox,
    'order': 'row-major'
};

// Apply the nullary function:
nullary( [ x ], fcn );

console.log( x.data );
// => <Float64Array>[ 0.0, 10.0, 10.0, 0.0, 0.0, 10.0, 10.0, 0.0, 0.0, 10.0, 10.0, 0.0 ]

The function accepts the following arguments:

• arrays: array-like object containing an output ndarray.
• fcn: nullary function to apply.

The provided ndarray should be an object with the following properties:

• dtype: data type.
• data: data buffer.
• shape: dimensions.
• strides: stride lengths.
• offset: index offset.
• order: specifies whether an ndarray is row-major (C-style) or column major (Fortran-style).

Notes

• For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before applying a nullary function in order to achieve better performance.

Examples

var discreteUniform = require( 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-discrete-uniform' ).factory;
import filledarray from 'https://cdn.jsdelivr.net/gh/stdlib-js/array-filled@deno/mod.js';
import ndarray2array from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-to-array@deno/mod.js';
import nullary from 'https://cdn.jsdelivr.net/gh/stdlib-js/ndarray-base-nullary@deno/mod.js';

var x = {
    'dtype': 'generic',
    'data': filledarray( 0, 10, 'generic' ),
    'shape': [ 5, 2 ],
    'strides': [ 2, 1 ],
    'offset': 0,
    'order': 'row-major'
};

nullary( [ x ], discreteUniform( -100, 100 ) );
console.log( ndarray2array( x.data, x.shape, x.strides, x.offset, x.order ) );

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Notice

This package is part of stdlib, a standard library 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

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License

See LICENSE.

Copyright

Copyright © 2016-2025. The Stdlib Authors.