Package Exports
- @stdlib/number-float32-base-significand
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/number-float32-base-significand) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
Significand
Return an integer corresponding to the significand of a single-precision floating-point number.
Installation
npm install @stdlib/number-float32-base-significandUsage
var significandf = require( '@stdlib/number-float32-base-significand' );significandf( x )
Returns an integer corresponding to the significand of a single-precision floating-point number.
var toFloat32 = require( '@stdlib/number-float64-base-to-float32' );
var s = significandf( toFloat32( 3.14e34 ) ); // => 10000011000010001110111
// returns 4293751
s = significandf( toFloat32( 3.14e-34 ) ); // => 10100001011000001010101
// returns 5288021
s = significandf( toFloat32( -3.14 ) ); // => 10010001111010111000011
// returns 4781507
s = significandf( 0.0 ); // => 00000000000000000000000
// returns 0
s = significandf( NaN ); // => 10000000000000000000000
// returns 4194304Examples
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var pow = require( '@stdlib/math-base-special-pow' );
var toFloat32 = require( '@stdlib/number-float64-base-to-float32' );
var significandf = require( '@stdlib/number-float32-base-significand' );
var frac;
var exp;
var x;
var s;
var i;
// Generate random numbers and extract their significands...
for ( i = 0; i < 100; i++ ) {
frac = randu() * 10.0;
exp = round( randu()*44.0 ) - 22;
x = frac * pow( 10.0, exp );
x = toFloat32( x );
s = significandf( x );
console.log( 'x: %d. significand: %d.', x, s );
}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
Copyright © 2016-2021. The Stdlib Authors.