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130 changes: 130 additions & 0 deletions lib/node_modules/@stdlib/ndarray/to-reversed/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.

-->

# toReversed

> Return a new [`ndarray`][@stdlib/ndarray/ctor] where the order of elements of an input [`ndarray`][@stdlib/ndarray/ctor] is reversed along each dimension.

<!-- Section to include introductory text. Make sure to keep an empty line after the intro section element. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- Package usage documentation. -->

<section class="usage">

## Usage

```javascript
var toReversed = require( '@stdlib/ndarray/to-reversed' );
```

#### toReversed( x )

Returns a new [`ndarray`][@stdlib/ndarray/ctor] where the order of elements of an input [`ndarray`][@stdlib/ndarray/ctor] is reversed along each dimension.

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

var x = array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ], {
'shape': [ 3, 2 ]
});
// returns <ndarray>

var arr = ndarray2array( x );
// returns [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]

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

arr = ndarray2array( y );
// returns [ [ 6.0, 5.0 ], [ 4.0, 3.0 ], [ 2.0, 1.0 ] ]
```

</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">

</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 toReversed = require( '@stdlib/ndarray/to-reversed' );

var x = uniform( [ 3, 3, 3 ], -10.0, 10.0 );
console.log( ndarray2array( x ) );

var y = toReversed( 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

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

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

</section>

<!-- /.links -->
222 changes: 222 additions & 0 deletions lib/node_modules/@stdlib/ndarray/to-reversed/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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
var empty = require( '@stdlib/ndarray/empty' );
var pkg = require( './../package.json' ).name;
var toReversed = require( './../lib' );


// MAIN //

bench( pkg+'::0d', function benchmark( b ) {
var values;
var v;
var i;

/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */

values = [
empty( [], { 'dtype': 'float64' } ),
empty( [], { 'dtype': 'float32' } ),
empty( [], { 'dtype': 'int32' } ),
empty( [], { 'dtype': 'complex128' } ),
empty( [], { 'dtype': 'generic' } )
];

/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
v = toReversed( values[ i%values.length ] );
if ( typeof v !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( v ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( pkg+'::1d', function benchmark( b ) {
var values;
var v;
var i;

/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */

values = [
empty( [ 2 ], { 'dtype': 'float64' } ),
empty( [ 2 ], { 'dtype': 'float32' } ),
empty( [ 2 ], { 'dtype': 'int32' } ),
empty( [ 2 ], { 'dtype': 'complex128' } ),
empty( [ 2 ], { 'dtype': 'generic' } )
];

/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
v = toReversed( values[ i%values.length ] );
if ( typeof v !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( v ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( pkg+'::2d', function benchmark( b ) {
var values;
var v;
var i;

/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */

values = [
empty( [ 2, 2 ], { 'dtype': 'float64' } ),
empty( [ 2, 2 ], { 'dtype': 'float32' } ),
empty( [ 2, 2 ], { 'dtype': 'int32' } ),
empty( [ 2, 2 ], { 'dtype': 'complex128' } ),
empty( [ 2, 2 ], { 'dtype': 'generic' } )
];

/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
v = toReversed( values[ i%values.length ] );
if ( typeof v !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( v ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( pkg+'::3d', function benchmark( b ) {
var values;
var v;
var i;

/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */

values = [
empty( [ 2, 2, 2 ], { 'dtype': 'float64' } ),
empty( [ 2, 2, 2 ], { 'dtype': 'float32' } ),
empty( [ 2, 2, 2 ], { 'dtype': 'int32' } ),
empty( [ 2, 2, 2 ], { 'dtype': 'complex128' } ),
empty( [ 2, 2, 2 ], { 'dtype': 'generic' } )
];

/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
v = toReversed( values[ i%values.length ] );
if ( typeof v !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( v ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( pkg+'::4d', function benchmark( b ) {
var values;
var v;
var i;

/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */

values = [
empty( [ 2, 2, 2, 2 ], { 'dtype': 'float64' } ),
empty( [ 2, 2, 2, 2 ], { 'dtype': 'float32' } ),
empty( [ 2, 2, 2, 2 ], { 'dtype': 'int32' } ),
empty( [ 2, 2, 2, 2 ], { 'dtype': 'complex128' } ),
empty( [ 2, 2, 2, 2 ], { 'dtype': 'generic' } )
];

/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
v = toReversed( values[ i%values.length ] );
if ( typeof v !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( v ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( pkg+'::5d', function benchmark( b ) {
var values;
var v;
var i;

/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */

values = [
empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float64' } ),
empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float32' } ),
empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'int32' } ),
empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'complex128' } ),
empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'generic' } )
];

/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
v = toReversed( values[ i%values.length ] );
if ( typeof v !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( v ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});
29 changes: 29 additions & 0 deletions lib/node_modules/@stdlib/ndarray/to-reversed/docs/repl.txt
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{{alias}}( x )
Returns a new ndarray where the order of elements of an input ndarray is
reversed along each dimension.

Parameters
----------
x: ndarray
Input array.

Returns
-------
out: ndarray
A new ndarray where the order of elements along each dimension is
reversed.

Examples
--------
> var x = {{alias:@stdlib/ndarray/array}}( [ [ 1, 2 ], [ 3, 4 ] ] )
<ndarray>
> {{alias:@stdlib/ndarray/to-array}}( x )
[ [ 1, 2 ], [ 3, 4 ] ]
> var y = {{alias}}( x )
<ndarray>
> {{alias:@stdlib/ndarray/to-array}}( y )
[ [ 4, 3 ], [ 2, 1 ] ]

See Also
--------
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