FLOAT32_EXPONENT_MASK

Mask for the exponent of a single-precision floating-point number.

Installation

npm install @stdlib/constants-float32-exponent-mask

Usage

var FLOAT32_EXPONENT_MASK = require( '@stdlib/constants-float32-exponent-mask' );

FLOAT32_EXPONENT_MASK

Mask for the exponent of a single-precision floating-point number.

// 0x7f800000 = 2139095040 => 0 11111111 00000000000000000000000
var bool = ( FLOAT32_EXPONENT_MASK === 0x7f800000 );
// returns true

Examples

var toWord = require( '@stdlib/number-float32-base-to-word' );
var FLOAT32_EXPONENT_MASK = require( '@stdlib/constants-float32-exponent-mask' );

var x = 11.5;
var w = toWord( x ); // 0 10000010 01110000000000000000000
// returns 1094189056

// Mask off all bits except for the exponent bits:
var out = w & FLOAT32_EXPONENT_MASK; // 0 10000010 00000000000000000000000
// returns 1090519040

// Mask on the exponent bits and leave other bits unchanged:
out = w | FLOAT32_EXPONENT_MASK; // 0 11111111 01110000000000000000000
// returns 2142765056

C APIs

Usage

#include "stdlib/constants/float32/exponent_mask.h"

STDLIB_CONSTANT_FLOAT32_EXPONENT_MASK

Macro for the mask for the exponent of a single-precision floating-point number.

See Also

• @stdlib/constants-float32/sign-mask: mask for the sign bit of a single-precision floating-point number.
• @stdlib/constants-float32/significand-mask: mask for the significand of a single-precision floating-point number.
• @stdlib/constants-float32/abs-mask: mask for excluding the sign bit of a single-precision floating-point number.

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

License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.