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math-float32-normalize

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  • License MIT

Returns a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.

Package Exports

  • math-float32-normalize

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 (math-float32-normalize) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Normalize

NPM version Build Status Coverage Status Dependencies

Returns a normal number y and exponent exp satisfying x = y * 2^exp.

Installation

$ npm install math-float32-normalize

Usage

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 true

The 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 function accepts higher precision floating-point numbers, beware that providing such numbers can be a source of subtle bugs as the relation x = y * 2^exp may 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.js

Tests

Unit

This repository uses tape for unit tests. To run the tests, execute the following command in the top-level application directory:

$ make test

All 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-cov

Istanbul creates a ./reports/coverage directory. To access an HTML version of the report,

$ make view-cov

Browser 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-browsers

To view the tests in a local web browser,

$ make view-browser-tests

License

MIT license.

Copyright © 2016. The Compute.io Authors.