@stdlib/iter-cuany
v0.1.1
Published
Create an iterator which cumulatively tests whether at least one iterated value is truthy.
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iterCuAny
Create an iterator which cumulatively tests whether at least one iterated value is truthy.
Installation
npm install @stdlib/iter-cuany
Usage
var iterCuAny = require( '@stdlib/iter-cuany' );
iterCuAny( iterator )
Returns an iterator which cumulatively tests whether at least one iterated value is truthy.
var array2iterator = require( '@stdlib/array-to-iterator' );
var arr = array2iterator( [ 0, 0, 0, 1, 0 ] );
var it = iterCuAny( arr );
// returns <Object>
var v = it.next().value;
// returns false
v = it.next().value;
// returns false
v = it.next().value;
// returns false
v = it.next().value;
// returns true
v = it.next().value;
// returns true
var bool = it.next().done;
// returns true
The returned iterator protocol-compliant object has the following properties:
- next: function which returns an iterator protocol-compliant object containing the next iterated value (if one exists) assigned to a
value
property and adone
property having aboolean
value indicating whether the iterator is finished. - return: function which closes an iterator and returns a single (optional) argument in an iterator protocol-compliant object.
Examples
var randu = require( '@stdlib/random-iter-randu' );
var iterMap = require( '@stdlib/iter-map' );
var iterCuAny = require( '@stdlib/iter-cuany' );
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 );
// Create an iterator which cumulatively tests whether at least one iterated value is truthy:
var it = iterCuAny( miter );
// Perform manual iteration...
var r;
while ( true ) {
r = it.next();
if ( r.done ) {
break;
}
console.log( r.value );
}
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.
Copyright
Copyright © 2016-2024. The Stdlib Authors.