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@stdlib/math-base-special-copysign

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  • License Apache-2.0

Return a double-precision floating-point number with the magnitude of x and the sign of y.

Package Exports

  • @stdlib/math-base-special-copysign

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/math-base-special-copysign) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Copysign

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Return a double-precision floating-point number with the magnitude of x and the sign of y.

Installation

npm install @stdlib/math-base-special-copysign

Usage

var copysign = require( '@stdlib/math-base-special-copysign' );

copysign( x, y )

Returns a double-precision floating-point number with the magnitude of x and the sign of y.

var z = copysign( -3.14, 10.0 );
// returns 3.14

z = copysign( 3.14, -1.0 );
// returns -3.14

z = copysign( 1.0, -0.0 );
// returns -1.0

z = copysign( -3.14, -0.0 );
// returns -3.14

z = copysign( -0.0, 1.0 );
// returns 0.0

Notes

  • According to the IEEE754 standard, a NaN has a biased exponent equal to 2047, a significand greater than 0, and a sign bit equal to either 1 or 0. In which case, NaN may not correspond to just one but many binary representations. Accordingly, care should be taken to ensure that y is not NaN, else behavior may be indeterminate.

Examples

var randu = require( '@stdlib/random-base-randu' );
var copysign = require( '@stdlib/math-base-special-copysign' );

var x;
var y;
var z;
var i;

// Generate random double-precision floating-point numbers `x` and `y` and copy the sign of `y` to `x`...
for ( i = 0; i < 100; i++ ) {
    x = (randu()*100.0) - 50.0;
    y = (randu()*10.0) - 5.0;
    z = copysign( x, y );
    console.log( 'x: %d, y: %d => %d', x, y, z );
}

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 © 2016-2021. The Stdlib Authors.