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121 changes: 121 additions & 0 deletions lib/node_modules/@stdlib/blas/base/ndarray/ccopy/README.md
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<!--

@license Apache-2.0

Copyright (c) 2026 The Stdlib Authors.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

-->

# ccopy

> Copy values from a one-dimensional single-precision complex floating-point ndarray `x` into a one-dimensional single-precision complex floating-point ndarray `y`.

<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

```javascript
var ccopy = require( '@stdlib/blas/base/ndarray/ccopy' );
```

#### ccopy( arrays )

Copies values from a one-dimensional single-precision complex floating-point ndarray `x` into a one-dimensional single-precision complex floating-point ndarray `y`.

```javascript
var Complex64Array = require( '@stdlib/array/complex64' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );

var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var x = new ndarray( 'complex64', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );

var ybuf = new Complex64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
var y = new ndarray( 'complex64', ybuf, [ 3 ], [ 1 ], 0, 'row-major' );

var z = ccopy( [ x, y ] );
// returns <ndarray>[ <Complex64>[ 1.0, 2.0 ], <Complex64>[ 3.0, 4.0 ], <Complex64>[ 5.0, 6.0 ] ]

var bool = ( y === z );
// returns true
```

The function has the following parameters:

- **arrays**: array-like object containing an input ndarray and an output ndarray.

</section>

<!-- /.usage -->

<section class="notes">

</section>

<!-- /.notes -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var Complex64Array = require( '@stdlib/array/complex64' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var ccopy = require( '@stdlib/blas/base/ndarray/ccopy' );

var opts = {
'dtype': 'float32'
};

var xbuf = new Complex64Array( discreteUniform( 10, 0, 100, opts ) );
var x = new ndarray( 'complex64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( x ) );

var ybuf = new Complex64Array( discreteUniform( xbuf.length*2, 0, 10, opts ) );
var y = new ndarray( 'complex64', ybuf, [ ybuf.length ], [ 1 ], 0, 'row-major' );
console.log( ndarray2array( y ) );

var out = ccopy( [ x, y ] );
console.log( ndarray2array( out ) );
```

</section>

<!-- /.examples -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="links">

</section>

<!-- /.links -->
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/**
* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

'use strict';

// MODULES //

var bench = require( '@stdlib/bench' );
var uniform = require( '@stdlib/random/array/uniform' );
var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
var realf = require( '@stdlib/complex/float32/real' );
var pow = require( '@stdlib/math/base/special/pow' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var Complex64Array = require( '@stdlib/array/complex64' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var ccopy = require( './../lib' );


// VARIABLES //

var options = {
'dtype': 'complex64'
};


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @returns {Function} benchmark function
*/
function createBenchmark( len ) {
var xbuf;
var ybuf;
var x;
var y;

xbuf = uniform( len*2, -100.0, 100.0, {
'dtype': 'float32'
});
x = new ndarray( options.dtype, new Complex64Array( xbuf ), [ len ], [ 1 ], 0, 'row-major' );

ybuf = uniform( len*2, -100.0, 100.0, {
'dtype': 'float32'
});
y = new ndarray( options.dtype, new Complex64Array( ybuf ), [ len ], [ 1 ], 0, 'row-major' );

return benchmark;

/**
* Benchmark function.
*
* @private
* @param {Benchmark} b - benchmark instance
*/
function benchmark( b ) {
var z;
var i;

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
z = ccopy( [ x, y ] );
if ( typeof z !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( isnanf( realf( z.get( i%len ) ) ) ) {
b.fail( 'should not return NaN' );
}
b.pass( 'benchmark finished' );
b.end();
}
}


// MAIN //

/**
* Main execution sequence.
*
* @private
*/
function main() {
var len;
var min;
var max;
var f;
var i;

min = 1; // 10^min
max = 6; // 10^max

for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len );
bench( format( '%s:len=%d', pkg, len ), f );
}
}

main();
38 changes: 38 additions & 0 deletions lib/node_modules/@stdlib/blas/base/ndarray/ccopy/docs/repl.txt
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{{alias}}( arrays )
Copies values from a one-dimensional single-precision complex floating-point
ndarray `x` into a one-dimensional single-precision complex floating-point
ndarray `y`.

If provided an empty input ndarray, the function returns the output ndarray
unchanged.

Parameters
----------
arrays: ArrayLikeObject<ndarray>
Array-like object containing an input ndarray and an output ndarray.

Returns
-------
out: ndarray
Output ndarray.

Examples
--------
> var xbuf = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0 ] );
> var ybuf = new {{alias:@stdlib/array/complex64}}( [ 0.0, 0.0, 0.0, 0.0 ] );
> var dt = 'complex64';
> var sh = [ xbuf.length ];
> var st = [ 1 ];
> var oo = 0;
> var ord = 'row-major';
> var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord );
> var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord );

> {{alias}}( [ x, y ] );
> y
<ndarray>[ <Complex64>[ 1.0, 2.0 ], <Complex64>[ 3.0, 4.0 ] ]

See Also
--------

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/*
* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

// TypeScript Version: 4.1

/// <reference types="@stdlib/types"/>

import { complex64ndarray } from '@stdlib/types/ndarray';

/**
* Copies values from a one-dimensional single-precision complex floating-point ndarray `x` into a one-dimensional single-precision complex floating-point ndarray `y`.
*
* @param arrays - array-like object containing an input ndarray and an output ndarray
* @returns output ndarray
*
* @example
* var Complex64Array = require( '@stdlib/array/complex64' );
* var ndarray = require( '@stdlib/ndarray/base/ctor' );
*
* var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
* var x = new ndarray( 'complex64', xbuf, [ 3 ], [ 1 ], 0, 'row-major' );
*
* var ybuf = new Complex64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );
* var y = new ndarray( 'complex64', ybuf, [ 3 ], [ 1 ], 0, 'row-major' );
*
* 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 true
*/
declare function ccopy( arrays: [ complex64ndarray, complex64ndarray ] ): complex64ndarray;


// EXPORTS //

export = ccopy;
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/*
* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

/* eslint-disable space-in-parens */

import zeros = require( '@stdlib/ndarray/zeros' );
import ccopy = require( './index' );


// TESTS //

// The function returns an ndarray...
{
const x = zeros( [ 10 ], {
'dtype': 'complex64'
});
const y = zeros( [ 10 ], {
'dtype': 'complex64'
});

ccopy( [ x, y ] ); // $ExpectType complex64ndarray
}

// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
{
ccopy( '10' ); // $ExpectError
ccopy( 10 ); // $ExpectError
ccopy( true ); // $ExpectError
ccopy( false ); // $ExpectError
ccopy( null ); // $ExpectError
ccopy( undefined ); // $ExpectError
ccopy( [] ); // $ExpectError
ccopy( {} ); // $ExpectError
ccopy( ( x: number ): number => x ); // $ExpectError
}

// The compiler throws an error if the function is provided an unsupported number of arguments...
{
const x = zeros( [ 10 ], {
'dtype': 'complex64'
});
const y = zeros( [ 10 ], {
'dtype': 'complex64'
});

ccopy(); // $ExpectError
ccopy( [ x, y ], {} ); // $ExpectError
}
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