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feat: add ndarray/to-reversed-dimensions
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‎lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/README.md‎

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<!--
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@license Apache-2.0
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Copyright (c) 2026 The Stdlib Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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-->
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# toReversedDimensions
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> Return a new [`ndarray`][@stdlib/ndarray/ctor] where the order of elements of an input [`ndarray`][@stdlib/ndarray/ctor] along specified dimensions is reversed.
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<!-- Section to include introductory text. Make sure to keep an empty line after the intro section element. -->
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<section class="intro">
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</section>
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<!-- /.intro -->
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<!-- Package usage documentation. -->
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<section class="usage">
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## Usage
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```javascript
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var toReversedDimensions = require( '@stdlib/ndarray/to-reversed-dimensions' );
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```
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#### toReversedDimensions( x, dims )
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Returns a new [`ndarray`][@stdlib/ndarray/ctor] where the order of elements of an input [`ndarray`][@stdlib/ndarray/ctor] along specified dimensions is reversed.
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```javascript
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var array = require( '@stdlib/ndarray/array' );
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var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ] );
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// returns <ndarray>[ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
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var y = toReversedDimensions( x, [ 0, 1 ] );
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// returns <ndarray>[ [ 6.0, 5.0 ], [ 4.0, 3.0 ], [ 2.0, 1.0 ] ]
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```
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The function accepts the following arguments:
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- **x**: input [`ndarray`][@stdlib/ndarray/ctor].
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- **dims**: indices of dimensions along which to reverse elements. If a dimension index is provided as an integer less than zero, the dimension index is resolved relative to the last dimension, with the last dimension corresponding to the value `-1`.
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</section>
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<!-- /.usage -->
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<!-- Package usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
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<section class="notes">
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</section>
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<!-- /.notes -->
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<!-- Package usage examples. -->
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<section class="examples">
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## Examples
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<!-- eslint no-undef: "error" -->
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```javascript
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var uniform = require( '@stdlib/random/discrete-uniform' );
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var ndarray2array = require( '@stdlib/ndarray/to-array' );
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var toReversedDimensions = require( '@stdlib/ndarray/to-reversed-dimensions' );
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var x = uniform( [ 3, 3, 3 ], -100, 100 );
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console.log( ndarray2array( x ) );
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var y = toReversedDimensions( x, [ 0, 2 ] );
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console.log( ndarray2array( y ) );
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```
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</section>
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<!-- /.examples -->
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<!-- 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. -->
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<section class="references">
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</section>
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<!-- /.references -->
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<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
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<section class="related">
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</section>
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<!-- /.related -->
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<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
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<section class="links">
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[@stdlib/ndarray/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ctor
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<!-- <related-links> -->
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<!-- </related-links> -->
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</section>
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<!-- /.links -->

‎lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/benchmark/benchmark.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2026 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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'use strict';
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// MODULES //
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var bench = require( '@stdlib/bench' );
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var Float64Array = require( '@stdlib/array/float64' );
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var ndarrayBase = require( '@stdlib/ndarray/base/ctor' );
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var ndarray = require( '@stdlib/ndarray/ctor' );
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var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
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var format = require( '@stdlib/string/format' );
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var pkg = require( './../package.json' ).name;
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var toReversedDimensions = require( './../lib' );
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// MAIN //
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bench( format( '%s:ctor=base,ndims=1', pkg ), function benchmark( b ) {
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var strides;
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var buffer;
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var offset;
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var dtype;
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var order;
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var shape;
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var dims;
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var out;
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var i;
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var x;
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dtype = 'float64';
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buffer = new Float64Array( 24 );
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shape = [ 24 ];
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strides = [ 1 ];
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offset = 0;
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order = 'row-major';
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dims = [ 0 ];
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x = ndarrayBase( dtype, buffer, shape, strides, offset, order );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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out = toReversedDimensions( x, dims );
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if ( typeof out !== 'object' ) {
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b.fail( 'should return an object' );
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}
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}
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b.toc();
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if ( !isndarrayLike( out ) ) {
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b.fail( 'should return an ndarray' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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});
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bench( format( '%s:ctor=ndarray,ndims=1', pkg ), function benchmark( b ) {
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var strides;
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var buffer;
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var offset;
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var dtype;
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var order;
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var shape;
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var dims;
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var out;
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var i;
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var x;
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dtype = 'float64';
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buffer = new Float64Array( 24 );
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shape = [ 24 ];
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strides = [ 1 ];
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offset = 0;
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order = 'row-major';
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dims = [ 0 ];
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x = ndarray( dtype, buffer, shape, strides, offset, order );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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out = toReversedDimensions( x, dims );
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if ( typeof out !== 'object' ) {
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b.fail( 'should return an object' );
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}
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}
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b.toc();
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if ( !isndarrayLike( out ) ) {
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b.fail( 'should return an ndarray' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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});
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bench( format( '%s:ctor=base,ndims=2', pkg ), function benchmark( b ) {
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var strides;
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var buffer;
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var offset;
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var dtype;
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var order;
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var shape;
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var dims;
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var out;
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var i;
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var x;
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dtype = 'float64';
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buffer = new Float64Array( 24 );
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shape = [ 6, 4 ];
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strides = [ 4, 1 ];
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offset = 0;
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order = 'row-major';
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dims = [ 0, 1 ];
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x = ndarrayBase( dtype, buffer, shape, strides, offset, order );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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out = toReversedDimensions( x, dims );
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if ( typeof out !== 'object' ) {
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b.fail( 'should return an object' );
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}
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}
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b.toc();
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if ( !isndarrayLike( out ) ) {
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b.fail( 'should return an ndarray' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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});
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bench( format( '%s:ctor=ndarray,ndims=2', pkg ), function benchmark( b ) {
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var strides;
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var buffer;
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var offset;
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var dtype;
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var order;
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var shape;
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var dims;
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var out;
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var i;
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var x;
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dtype = 'float64';
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buffer = new Float64Array( 24 );
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shape = [ 6, 4 ];
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strides = [ 4, 1 ];
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offset = 0;
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order = 'row-major';
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dims = [ 0, 1 ];
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x = ndarray( dtype, buffer, shape, strides, offset, order );
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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out = toReversedDimensions( x, dims );
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if ( typeof out !== 'object' ) {
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b.fail( 'should return an object' );
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}
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}
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b.toc();
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if ( !isndarrayLike( out ) ) {
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b.fail( 'should return an ndarray' );
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}
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b.pass( 'benchmark finished' );
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b.end();
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});

‎lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/docs/repl.txt‎

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{{alias}}( x, dims )
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Returns a new ndarray where the order of elements of an input ndarray along
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specified dimensions is reversed.
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Parameters
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----------
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x: ndarray
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Input array.
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dims: ArrayLike<integer>
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Indices of dimensions along which to reverse elements. If a dimension
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index is provided as an integer less than zero, the dimension index is
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resolved relative to the last dimension, with the last dimension
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corresponding to the value `-1`.
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Returns
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-------
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out: ndarray
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Output array.
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Examples
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--------
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> var x = {{alias:@stdlib/ndarray/array}}( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ] )
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<ndarray>[ [ 1.0, 2.0 ], [ 3.0, 4.0 ] ]
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> var y = {{alias}}( x, [ 0, 1 ] )
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<ndarray>[ [ 4.0, 3.0 ], [ 2.0, 1.0 ] ]
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See Also
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--------
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‎lib/node_modules/@stdlib/ndarray/to-reversed-dimensions/docs/types/index.d.ts‎

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/*
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* @license Apache-2.0
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*
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* Copyright (c) 2026 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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// TypeScript Version: 4.1
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/// <reference types="@stdlib/types"/>
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import { ndarray } from '@stdlib/types/ndarray';
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import { Collection } from '@stdlib/types/array';
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/**
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* Returns a new ndarray where the order of elements of an input ndarray along specified dimensions is reversed.
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*
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* @param x - input array
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* @param dims - indices of dimensions to reverse
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* @returns output array
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*
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* @example
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* var array = require( '@stdlib/ndarray/array' );
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*
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* var x = array( [ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ] );
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* // returns <ndarray>[ [ 1.0, 2.0 ], [ 3.0, 4.0 ], [ 5.0, 6.0 ] ]
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*
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* var y = toReversedDimensions( x, [ 0, 1 ] );
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* // returns <ndarray>[ [ 6.0, 5.0 ], [ 4.0, 3.0 ], [ 2.0, 1.0 ] ]
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*/
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declare function toReversedDimensions<T extends ndarray = ndarray>( x: T, dims: Collection<number> ): T;
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// EXPORTS //
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export = toReversedDimensions;

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