Copy values from a one-dimensional single-precision floating-point ndarray
xinto a one-dimensional single-precision floating-point ndarrayy.
var scopy = require( '@stdlib/blas/base/ndarray/scopy' );Copies values from a one-dimensional single-precision floating-point ndarray x into a one-dimensional single-precision floating-point ndarray y.
var Float32Array = require( '@stdlib/array/float32' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var xbuf = new Float32Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
var x = new ndarray( 'float32', xbuf, [ 5 ], [ 1 ], 0, 'row-major' );
var ybuf = new Float32Array( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );
var y = new ndarray( 'float32', ybuf, [ 5 ], [ 1 ], 0, 'row-major' );
var z = scopy( [ x, y ] );
// returns <ndarray>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
var bool = ( y === z );
// returns trueThe function has the following parameters:
- arrays: array-like object containing an input ndarray and an output ndarray.
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var scopy = require( '@stdlib/blas/base/ndarray/scopy' );
var opts = {
'dtype': 'float32'
};
var xbuf = discreteUniform( 10, 0, 100, opts );
var x = new ndarray( opts.dtype, xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );
var ybuf = discreteUniform( xbuf.length, 0, 10, opts );
var y = new ndarray( opts.dtype, ybuf, [ ybuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( y ) );
var out = scopy( [ x, y ] );
console.log( ndarray2array( out ) );