@stdlib/constants-float64-high-word-significand-mask

Significand Mask

High word mask for the significand of a double-precision floating-point number.

Installation

npm install @stdlib/constants-float64-high-word-significand-mask

Usage

var FLOAT64_HIGH_WORD_SIGNIFICAND_MASK = require( '@stdlib/constants-float64-high-word-significand-mask' );

FLOAT64_HIGH_WORD_SIGNIFICAND_MASK

High word mask for the significand of a double-precision floating-point number.

// 0x000fffff = 1048575 => 0 00000000000 11111111111111111111
var bool = ( FLOAT64_HIGH_WORD_SIGNIFICAND_MASK === 0x000fffff );
// returns true

Notes

• The higher order word of a double-precision floating-point number is a 32-bit integer containing the more significant bits which include the exponent and sign.

Examples

var getHighWord = require( '@stdlib/number-float64-base-get-high-word' );
var FLOAT64_HIGH_WORD_SIGNIFICAND_MASK = require( '@stdlib/constants-float64-high-word-significand-mask' );

var out;
var hi;
var x;

x = 11.5;
hi = getHighWord( x ); // => 0 10000000010 01110000000000000000
// returns 1076297728

// Mask off all bits except for the significand bits:
out = hi & FLOAT64_HIGH_WORD_SIGNIFICAND_MASK; // => 0 00000000000 01110000000000000000
// returns 458752

// Mask on the significand bits and leave other bits unchanged:
out = hi | FLOAT64_HIGH_WORD_SIGNIFICAND_MASK; // => 0 10000000010 11111111111111111111
// returns 1076887551

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See Also

• @stdlib/constants/float64/high-word-exponent-mask: high word mask for the exponent of a double-precision floating-point number.

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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

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License

See LICENSE.

Copyright

Copyright © 2016-2022. The Stdlib Authors.