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120 changes: 120 additions & 0 deletions lib/node_modules/@stdlib/blas/base/ndarray/scopy/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.

-->

# scopy

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

<section class="intro">

</section>

<!-- /.intro -->

<section class="usage">

## Usage

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

#### scopy( arrays )

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

```javascript
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 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 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 ) );
```

</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 pow = require( '@stdlib/math/base/special/pow' );
var ndarray = require( '@stdlib/ndarray/base/ctor' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var scopy = require( './../lib' );


// VARIABLES //

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


// 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, -100.0, 100.0, options );
x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );

ybuf = uniform( len, -100.0, 100.0, options );
y = new ndarray( options.dtype, 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 = scopy( [ x, y ] );
if ( typeof z !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( isnanf( 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();
37 changes: 37 additions & 0 deletions lib/node_modules/@stdlib/blas/base/ndarray/scopy/docs/repl.txt
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{{alias}}( arrays )
Copies values from a one-dimensional single-precision floating-point ndarray
`x` into a one-dimensional single-precision 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/float32}}( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] );
> var ybuf = new {{alias:@stdlib/array/float32}}( [ 0.0, 0.0, 0.0, 0.0, 0.0 ] );
> var dt = 'float32';
> 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>[ 4.0, 2.0, -3.0, 5.0, -1.0 ]

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 { float32ndarray } from '@stdlib/types/ndarray';

/**
* Copies values from a one-dimensional single-precision floating-point ndarray `x` into a one-dimensional single-precision floating-point ndarray `y`.
*
* @param arrays - array-like object containing an input ndarray and an output ndarray
* @returns output ndarray
*
* @example
* 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 = ( z === y );
* // returns true
*/
declare function scopy( arrays: [ float32ndarray, float32ndarray ] ): float32ndarray;


// EXPORTS //

export = scopy;
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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 scopy = require( './index' );


// TESTS //

// The function returns an ndarray...
{
const x = zeros( [ 10 ], {
'dtype': 'float32'
});
const y = zeros( [ 10 ], {
'dtype': 'float32'
});

scopy( [ x, y ] ); // $ExpectType float32ndarray
}

// The compiler throws an error if the function is provided a first argument which is not an array of ndarrays...
{
scopy( '10' ); // $ExpectError
scopy( 10 ); // $ExpectError
scopy( true ); // $ExpectError
scopy( false ); // $ExpectError
scopy( null ); // $ExpectError
scopy( undefined ); // $ExpectError
scopy( [] ); // $ExpectError
scopy( {} ); // $ExpectError
scopy( ( 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': 'float32'
});
const y = zeros( [ 10 ], {
'dtype': 'float32'
});

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