
Research
/Security News
Coruna Respawned: Compromised art-template npm Package Leads to iOS Browser Exploit Kit
Compromised npm package art-template delivered a Coruna-like iOS Safari exploit framework through a watering-hole attack.
@stdlib/blas-base-dcopy
Advanced tools
We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.
When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.
To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!
Copy values from
xintoy.
npm install @stdlib/blas-base-dcopy
var dcopy = require( '@stdlib/blas-base-dcopy' );
Copies values from x into y.
var Float64Array = require( '@stdlib/array-float64' );
var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
var y = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );
dcopy( x.length, x, 1, y, 1 );
// y => <Float64Array>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
The function has the following parameters:
Float64Array.x.Float64Array.y.The N and stride parameters determine how values from x are copied into y. For example, to copy in reverse order every other value in x into the first N elements of y,
var Float64Array = require( '@stdlib/array-float64' );
var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var y = new Float64Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
dcopy( 3, x, -2, y, 1 );
// y => <Float64Array>[ 5.0, 3.0, 1.0, 10.0, 11.0, 12.0 ]
Note that indexing is relative to the first index. To introduce an offset, use typed array views.
var Float64Array = require( '@stdlib/array-float64' );
// Initial arrays...
var x0 = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var y0 = new Float64Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
// Create offset views...
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
// Copy in reverse order every other value from `x1` into `y1`...
dcopy( 3, x1, -2, y1, 1 );
// y0 => <Float64Array>[ 7.0, 8.0, 9.0, 6.0, 4.0, 2.0 ]
Copies values from x into y using alternative indexing semantics.
var Float64Array = require( '@stdlib/array-float64' );
var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0 ] );
var y = new Float64Array( [ 6.0, 7.0, 8.0, 9.0, 10.0 ] );
dcopy.ndarray( x.length, x, 1, 0, y, 1, 0 );
// y => <Float64Array>[ 1.0, 2.0, 3.0, 4.0, 5.0 ]
The function has the following additional parameters:
x.y.While typed array views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to copy every other value in x starting from the second value into the last N elements in y where x[i] = y[n], x[i+2] = y[n-1],...,
var Float64Array = require( '@stdlib/array-float64' );
var x = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var y = new Float64Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] );
dcopy.ndarray( 3, x, 2, 1, y, -1, y.length-1 );
// y => <Float64Array>[ 7.0, 8.0, 9.0, 6.0, 4.0, 2.0 ]
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var dcopy = require( '@stdlib/blas-base-dcopy' );
var opts = {
'dtype': 'float64'
};
var x = discreteUniform( 10, 0, 500, opts );
console.log( x );
var y = discreteUniform( x.length, 0, 255, opts );
console.log( y );
// Copy elements from `x` into `y` starting from the end of `y`:
dcopy( x.length, x, 1, y, -1 );
console.log( y );
#include "stdlib/blas/base/dcopy.h"
Copies values from X into Y.
const double x[] = { 1.0, 2.0, 3.0, 4.0 };
double y[] = { 0.0, 0.0, 0.0, 0.0 };
c_dcopy( 4, x, 1, y, 1 );
The function accepts the following arguments:
[in] CBLAS_INT number of indexed elements.[in] double* input array.[in] CBLAS_INT index increment for X.[out] double* output array.[in] CBLAS_INT index increment for Y.void c_dcopy( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, double *Y, const CBLAS_INT strideY );
Copies values from x into y using alternative indexing semantics.
double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0 };
double y[] = { 0.0, 0.0, 0.0, 0.0, 0.0 };
c_dcopy_ndarray( 3, x, 1, 2, y, 1, 2 );
The function accepts the following arguments:
[in] CBLAS_INT number of indexed elements.[in] double* input array.[in] CBLAS_INT index increment for X.[in] CBLAS_INT starting index for X.[out] double* output array.[in] CBLAS_INT index increment for Y.[in] CBLAS_INT starting index for Y.void c_dcopy_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, double *Y, const CBLAS_INT strideY, const CBLAS_INT offsetY );
#include "stdlib/blas/base/dcopy.h"
#include <stdio.h>
int main( void ) {
// Create strided arrays:
const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
double y[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
// Specify the number of elements:
const int N = 4;
// Specify stride lengths:
const int strideX = 2;
const int strideY = -2;
// Copy elements:
c_dcopy( N, x, strideX, y, strideY );
// Print the result:
for ( int i = 0; i < 8; i++ ) {
printf( "y[ %i ] = %lf\n", i, y[ i ] );
}
// Copy elements:
c_dcopy_ndarray( N, x, strideX, 0, y, strideY, 6 );
// Print the result:
for ( int i = 0; i < 8; i++ ) {
printf( "y[ %i ] = %lf\n", i, y[ i ] );
}
}
@stdlib/blas-base/dswap: interchange two double-precision floating-point vectors.@stdlib/blas-base/gcopy: copy values from x into y.@stdlib/blas-base/scopy: copy values from x into y.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.
Copyright © 2016-2026. The Stdlib Authors.
FAQs
Copy values from x into y.
The npm package @stdlib/blas-base-dcopy receives a total of 167 weekly downloads. As such, @stdlib/blas-base-dcopy popularity was classified as not popular.
We found that @stdlib/blas-base-dcopy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Research
/Security News
Compromised npm package art-template delivered a Coruna-like iOS Safari exploit framework through a watering-hole attack.

Company News
As AI accelerates how code is written and shipped, Socket is scaling to protect the software supply chain from the growing wave of attacks targeting open source dependencies.

Company News
Socket is scaling to defend open source against supply chain attacks as AI accelerates software development.