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Test if two arguments are both double-precision complex floating-point numbers and have the same value.
npm install @stdlib/assert-is-same-complex128
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
branch (see README). - If you are using Deno, visit the
deno
branch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umd
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To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var isSameComplex128 = require( '@stdlib/assert-is-same-complex128' );
Tests if two arguments are both double-precision complex floating-point numbers and have the same value.
var Complex128 = require( '@stdlib/complex-float64-ctor' );
var x = new Complex128( 1.0, 2.0 );
var y = new Complex128( 1.0, 2.0 );
var bool = isSameComplex128( x, y );
// returns true
- In contrast to the strict equality operator
===
, the function distinguishes between+0
and-0
and treatsNaNs
as the same value.
var Complex128 = require( '@stdlib/complex-float64-ctor' );
var isSameComplex128 = require( '@stdlib/assert-is-same-complex128' );
var x = new Complex128( 1.0, 2.0 );
var y = new Complex128( 1.0, 2.0 );
var out = isSameComplex128( x, y );
// returns true
x = new Complex128( 0.0, -0.0 );
y = new Complex128( -0.0, 0.0 );
out = isSameComplex128( x, y );
// returns false
x = new Complex128( NaN, NaN );
y = new Complex128( NaN, NaN );
out = isSameComplex128( x, y );
// returns true
@stdlib/assert-is-complex128
: test if a value is a 128-bit complex number.@stdlib/assert-is-same-complex64
: test if two arguments are both single-precision complex floating-point numbers and have the same value.@stdlib/assert-is-same-value
: test if two arguments are the same value.
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.
See LICENSE.
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