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stdlib-js/iter-any

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iterAny

NPM version Build Status Coverage Status

Test whether at least one iterated value is truthy.

Installation

npm install @stdlib/iter-any

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 iterAny = require( '@stdlib/iter-any' );

iterAny( iterator )

Tests whether at least one iterated value is truthy.

var array2iterator = require( '@stdlib/array-to-iterator' );

var arr = array2iterator( [ 0, 0, 0, 0, 1 ] );

var bool = iterAny( arr );
// returns true

If a provided iterator does not return any iterated values, the function returns false.

var array2iterator = require( '@stdlib/array-to-iterator' );

var bool = iterAny( array2iterator( [] ) );
// returns false

Examples

var randu = require( '@stdlib/random-iter-randu' );
var iterMap = require( '@stdlib/iter-map' );
var iterAny = require( '@stdlib/iter-any' );

function threshold( r ) {
    return ( r > 0.95 );
}

// Create an iterator which generates uniformly distributed pseudorandom numbers:
var opts = {
    'iter': 100
};
var riter = randu( opts );

// Create an iterator which applies a threshold to generated numbers:
var miter = iterMap( riter, threshold );

// Determine if any values are "truthy":
var bool = iterAny( miter );
// returns <boolean>

console.log( bool );

See Also


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.

Copyright

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