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165 changes: 165 additions & 0 deletions lib/node_modules/@stdlib/ndarray/copy/README.md
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<!--

@license Apache-2.0

Copyright (c) 2025 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.

-->

# copy

> Copy an input [ndarray][@stdlib/ndarray/ctor] to a new [ndarray][@stdlib/ndarray/ctor] having the same shape and [data type][@stdlib/ndarray/dtypes].

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- Package usage documentation. -->

<section class="usage">

## Usage

```javascript
var copy = require( '@stdlib/ndarray/copy' );
```

#### copy( x\[, options] )

Copies an input [ndarray][@stdlib/ndarray/ctor] to a new [ndarray][@stdlib/ndarray/ctor] having the same shape and [data type][@stdlib/ndarray/dtypes].

```javascript
var getShape = require( '@stdlib/ndarray/shape' );
var zeros = require( '@stdlib/ndarray/zeros' );

var x = zeros( [ 2, 2 ] );
// returns <ndarray>

var y = copy( x );
// returns <ndarray>

var sh = getShape( y );
// returns [ 2, 2 ]
```

The function supports the following `options`:

- **dtype**: output [ndarray][@stdlib/ndarray/ctor] [data type][@stdlib/ndarray/dtypes]. Overrides the input ndarray's inferred [data type][@stdlib/ndarray/dtypes].
- **order**: specifies whether the output [ndarray][@stdlib/ndarray/ctor] should be `'row-major'` (C-style) or `'column-major'` (Fortran-style). Overrides the input ndarray's inferred order.
- **mode**: specifies how to handle indices which exceed array dimensions (see [`ndarray`][@stdlib/ndarray/ctor]). Default: `'throw'`.
- **submode**: a mode array which specifies for each dimension how to handle subscripts which exceed array dimensions (see [`ndarray`][@stdlib/ndarray/ctor]). If provided fewer modes than dimensions, the constructor recycles modes using modulo arithmetic. Default: `[ options.mode ]`.

To override either the `dtype` or `order`, specify the corresponding option. For example, to override the inferred [data type][@stdlib/ndarray/dtypes],

```javascript
var getShape = require( '@stdlib/ndarray/shape' );
var getDtype = require( '@stdlib/ndarray/dtype' );
var zeros = require( '@stdlib/ndarray/zeros' );

var x = zeros( [ 2, 2 ] );
// returns <ndarray>

var dt = String( getDtype( x ) );
// returns 'float64'

var y = copy( x, {
'dtype': 'float32'
});
// returns <ndarray>

var sh = getShape( y );
// returns [ 2, 2 ]

dt = String( getDtype( y ) );
// returns 'float32'
```

</section>

<!-- /.usage -->

<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

## Notes

- The function performs a full copy in which an ndarray's underlying data is copied to a new underlying data buffer.

</section>

<!-- /.notes -->

<!-- Package usage examples. -->

<section class="examples">

## Examples

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

```javascript
var uniform = require( '@stdlib/random/uniform' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var copy = require( '@stdlib/ndarray/copy' );

var x = uniform( [ 5, 2 ], -10.0, 10.0, {
'dtype': 'generic'
});
console.log( ndarray2array( x ) );

var y = copy( x );
console.log( ndarray2array( y ) );
```

</section>

<!-- /.examples -->

<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="references">

</section>

<!-- /.references -->

<!-- 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">

[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor

[@stdlib/ndarray/dtypes]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/dtypes

<!-- <related-links> -->

<!-- </related-links> -->

</section>

<!-- /.links -->
57 changes: 57 additions & 0 deletions lib/node_modules/@stdlib/ndarray/copy/benchmark/benchmark.js
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/**
* @license Apache-2.0
*
* Copyright (c) 2025 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 isndarray = require( '@stdlib/assert/is-ndarray-like' );
var zeros = require( '@stdlib/ndarray/zeros' );
var pkg = require( './../package.json' ).name;
var copy = require( './../lib' );


// MAIN //

bench( pkg, function benchmark( b ) {
var values;
var out;
var i;

values = [
zeros( [ 25 ] ),
zeros( [ 5, 5 ] ),
zeros( [ 3, 3, 3 ] ),
zeros( [ 2, 2, 2, 3 ] )
];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = copy( values[ i%values.length ] );
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarray( out ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});
117 changes: 117 additions & 0 deletions lib/node_modules/@stdlib/ndarray/copy/benchmark/benchmark.size.js
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/**
* @license Apache-2.0
*
* Copyright (c) 2025 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 pow = require( '@stdlib/math/base/special/pow' );
var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var zeros = require( '@stdlib/ndarray/zeros' );
var pkg = require( './../package.json' ).name;
var copy = require( './../lib' );


// VARIABLES //

var DTYPES = [
'float64',
'float32',
'generic',
'int32',
'uint32',
'uint8',
'complex128',
'complex64'
];


// FUNCTIONS //

/**
* Creates a benchmark function.
*
* @private
* @param {PositiveInteger} len - array length
* @param {*} dtype - data type
* @returns {Function} benchmark function
*/
function createBenchmark( len, dtype ) {
var x = zeros( [ len ], {
'dtype': dtype
});
return benchmark;

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

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
arr = copy( x );
if ( arr.length !== len ) {
b.fail( 'unexpected length' );
}
}
b.toc();
if ( !isndarrayLike( arr ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
}
}


// MAIN //

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

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

for ( j = 0; j < DTYPES.length; j++ ) {
dt = DTYPES[ j ];
for ( i = min; i <= max; i++ ) {
len = pow( 10, i );
f = createBenchmark( len, dt );
bench( pkg+':dtype='+String( dt )+',size='+len, f );
}
}
}

main();
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