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Create an iterator which generates a sequence of squares.
npm install @stdlib/math-iter-sequences-squaresAlternatively,
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var iterSquaresSeq = require( '@stdlib/math-iter-sequences-squares' );Returns an iterator which generates a sequence of squares.
var it = iterSquaresSeq();
// returns <Object>
var v = it.next().value;
// returns 0
v = it.next().value;
// returns 1
v = it.next().value;
// returns 4
v = it.next().value;
// returns 9
v = it.next().value;
// returns 16
// ...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
valueproperty and adoneproperty having abooleanvalue indicating whether the iterator is finished. - return: function which closes an iterator and returns a single (optional) argument in an iterator protocol-compliant object.
The function supports the following options:
- iter: number of iterations. Default:
94906265.
By default, the function returns a finite iterator to avoid exceeding the maximum safe double-precision floating-point integer. To adjust the number of iterations, set the iter option.
var opts = {
'iter': 2
};
var it = iterSquaresSeq( opts );
// returns <Object>
var v = it.next().value;
// returns 0
v = it.next().value;
// returns 1
var bool = it.next().done;
// returns true- If an environment supports
Symbol.iterator, the returned iterator is iterable.
var iterSquaresSeq = require( '@stdlib/math-iter-sequences-squares' );
// Create an iterator:
var opts = {
'iter': 100
};
var it = iterSquaresSeq( opts );
// Perform manual iteration...
var v;
while ( true ) {
v = it.next();
if ( v.done ) {
break;
}
console.log( v.value );
}@stdlib/math-iter/sequences/cubes: create an iterator which generates a sequence of cubes.@stdlib/math-iter/sequences/nonsquares: create an iterator which generates a sequence of nonsquares.
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.
See LICENSE.
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