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cuevery

Cumulatively test whether every element in a provided array is truthy.

Installation

npm install @stdlib/array-base-cuevery

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

cuevery( x )

Cumulatively tests whether every element in a provided array is truthy.

var x = [ true, true, true, false, true ];

var y = cuevery( x );
// returns [ true, true, true, false, false ];

cuevery.assign( x, out, stride, offset )

Cumulatively tests whether every element in a provided array is truthy and assigns results to a provided output array.

var x = [ true, true, true, false, true ];
var y = [ false, null, false, null, false, null, false, null, false, null ];

var out = cuevery.assign( x, y, 2, 0 );
// returns [ true, null, true, null, true, null, false, null, false, null ]

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

The function supports the following parameters:

x: input array.
out: output array.
stride: output array stride.
offset: output array offset.

Examples

var bernoulli = require( '@stdlib/random-array-bernoulli' );
var cuevery = require( '@stdlib/array-base-cuevery' );

// Create an array of random values:
var x = bernoulli( 10, 0.9 );
console.log( x );

// Cumulatively determine whether values are truthy:
var out = cuevery( x );
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.

Community

License

See LICENSE.

stdlib-js/array-base-cuevery