Copy values from a one-dimensional single-precision complex floating-point ndarray
xinto a one-dimensional single-precision complex floating-point ndarrayy.
var ccopy = require( '@stdlib/blas/base/ndarray/ccopy' );Copies values from a one-dimensional single-precision complex floating-point ndarray x into a one-dimensional single-precision complex floating-point ndarray y.
var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
var x = new Complex64Vector( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var y = new Complex64Vector( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
var z = ccopy( [ x, y ] );
// returns <ndarray>[ <Complex64>[ 1.0, 2.0 ], <Complex64>[ 3.0, 4.0 ], <Complex64>[ 5.0, 6.0 ] ]
var bool = ( z === y );
// returns trueThe function has the following parameters:
-
arrays: array-like object containing the following ndarrays:
- a one-dimensional input ndarray.
- a one-dimensional output ndarray.
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var Complex64Vector = require( '@stdlib/ndarray/vector/complex64' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var ccopy = require( '@stdlib/blas/base/ndarray/ccopy' );
var opts = {
'dtype': 'float32'
};
var x = new Complex64Vector( discreteUniform( 10, 0, 100, opts ) );
console.log( ndarray2array( x ) );
var y = new Complex64Vector( discreteUniform( 10, 0, 10, opts ) );
console.log( ndarray2array( y ) );
var out = ccopy( [ x, y ] );
console.log( ndarray2array( out ) );