Package Exports
- math-float32-normalize
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Readme
Normalize
Returns a normal number
yand exponentexpsatisfyingx = y * 2^exp.
Installation
$ npm install math-float32-normalizeUsage
var normalize = require( 'math-float32-normalize' );normalize( x )
Returns a normal number y and exponent exp satisfying x = y * 2^exp.
var toFloat32 = require( 'float64-to-float32' );
var out = normalize( toFloat32( 1.401e-45 ) );
// returns [ 1.1754943508222875e-38, -23 ]The first element of the returned array corresponds to y and the second to exp.
var pow = require( 'math-power' );
var y = out[ 0 ];
var exp = out[ 1 ];
var bool = ( y*pow(2,exp) === toFloat32(1.401e-45) );
// returns trueThe function expects a finite, non-zero single-precision floating-point number x. If x == 0,
var out = normalize( 0 );
// returns [ 0, 0 ];If x is either positive or negative infinity or NaN,
var pinf = require( 'const-pinf-float32' );
var ninf = require( 'const-ninf-float32' );
var out = normalize( pinf );
// returns [ pinf, 0 ]
out = normalize( ninf );
// returns [ ninf, 0 ]
out = normalize( NaN );
// returns [ NaN, 0 ]Notes
- While the
functionaccepts higher precision floating-point numbers, beware that providing such numbers can be a source of subtle bugs as the relationx = y * 2^expmay not hold.
Examples
var round = require( 'math-round' );
var pow = require( 'math-power' );
var toFloat32 = require( 'float64-to-float32' );
var normalize = require( 'math-float32-normalize' );
var frac;
var exp;
var x;
var v;
var i;
// Generate denormalized single-precision floating-point numbers and then normalize them...
for ( i = 0; i < 100; i++ ) {
frac = Math.random() * 10;
exp = 38 + round( Math.random()*6 );
x = frac * pow( 10, -exp );
x = toFloat32( x );
v = normalize( x );
console.log( '%d = %d * 2^%d = %d', x, v[0], v[1], v[0]*pow(2,v[1]) );
}To run the example code from the top-level application directory,
$ node ./examples/index.jsTests
Unit
This repository uses tape for unit tests. To run the tests, execute the following command in the top-level application directory:
$ make testAll new feature development should have corresponding unit tests to validate correct functionality.
Test Coverage
This repository uses Istanbul as its code coverage tool. To generate a test coverage report, execute the following command in the top-level application directory:
$ make test-covIstanbul creates a ./reports/coverage directory. To access an HTML version of the report,
$ make view-covBrowser Support
This repository uses Testling for browser testing. To run the tests in a (headless) local web browser, execute the following command in the top-level application directory:
$ make test-browsersTo view the tests in a local web browser,
$ make view-browser-testsLicense
Copyright
Copyright © 2016. The Compute.io Authors.