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‎CHANGELOG.md‎

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<section class="release" id="unreleased">
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## Unreleased (2026-04-19)
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## Unreleased (2026-04-20)
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<section class="features">
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### Features
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- [`a44f4d3`](https://github.com/stdlib-js/stdlib/commit/a44f4d395d772927cb9f6435b939580d4c4ad783) - add `ndarray/rotr90` [(#11631)](https://github.com/stdlib-js/stdlib/pull/11631)
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- [`6117db9`](https://github.com/stdlib-js/stdlib/commit/6117db9a02e613a5a5dc02e2d948c1d900c93739) - add `hconcat` to namespace
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- [`50e53a1`](https://github.com/stdlib-js/stdlib/commit/50e53a18d36e39662e7bf8f69e720f5df5cc9df1) - add `ndarray/hconcat` [(#11583)](https://github.com/stdlib-js/stdlib/pull/11583)
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- [`aaa6e06`](https://github.com/stdlib-js/stdlib/commit/aaa6e06422092ba41c57fc3dfb2a8b833edd0163) - add `vconcat` to namespace
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<details>
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- [`a44f4d3`](https://github.com/stdlib-js/stdlib/commit/a44f4d395d772927cb9f6435b939580d4c4ad783) - **feat:** add `ndarray/rotr90` [(#11631)](https://github.com/stdlib-js/stdlib/pull/11631) _(by Muhammad Haris, Athan Reines)_
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- [`59ef54e`](https://github.com/stdlib-js/stdlib/commit/59ef54e322f02dc4cfacb0b1ff98d5869341a33c) - **docs:** organize functions _(by Athan Reines)_
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- [`6117db9`](https://github.com/stdlib-js/stdlib/commit/6117db9a02e613a5a5dc02e2d948c1d900c93739) - **feat:** add `hconcat` to namespace _(by Athan Reines)_
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- [`50e53a1`](https://github.com/stdlib-js/stdlib/commit/50e53a18d36e39662e7bf8f69e720f5df5cc9df1) - **feat:** add `ndarray/hconcat` [(#11583)](https://github.com/stdlib-js/stdlib/pull/11583) _(by Muhammad Haris)_

‎rotr90/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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# rotr90
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> Return a **read-only** view of a matrix (or a stack of matrices) rotated `90` degrees clockwise.
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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 rotr90 = require( '@stdlib/ndarray/rotr90' );
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```
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#### rotr90( x, k )
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Returns a read-only view of a matrix (or a stack of matrices) rotated `90` degrees clockwise.
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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 = rotr90( x, 1 );
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// returns <ndarray>[ [ 4.0, 1.0 ], [ 5.0, 2.0 ], [ 6.0, 3.0 ] ]
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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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- **k**: number of times to rotate by `90` degrees. Positive values rotate clockwise. Negative values rotate counterclockwise.
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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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## Notes
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- If `k > 0`, the function rotates the matrix clockwise.
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- If `k < 0`, the function rotates the matrix counterclockwise.
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- If provided an [`ndarray`][@stdlib/ndarray/ctor] with fewer than two dimensions, the function does not perform rotation and simply returns a new view of the input [`ndarray`][@stdlib/ndarray/ctor].
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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/uniform' );
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var ndarray2array = require( '@stdlib/ndarray/to-array' );
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var rotr90 = require( '@stdlib/ndarray/rotr90' );
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var x = uniform( [ 3, 3, 3 ], -10.0, 10.0 );
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console.log( ndarray2array( x ) );
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var y = rotr90( x, 1 );
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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/ndarray/tree/main/ctor
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<!-- <related-links> -->
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<!-- </related-links> -->
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</section>
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<!-- /.links -->

‎rotr90/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 isndarrayLike = require( '@stdlib/assert/is-ndarray-like' );
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var empty = require( './../../empty' );
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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 rotr90 = require( './../lib' );
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// MAIN //
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bench( format( '%s:ndims=0', pkg ), function benchmark( b ) {
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var values;
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var v;
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var i;
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/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
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values = [
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empty( [], { 'dtype': 'float64' } ),
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empty( [], { 'dtype': 'float32' } ),
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empty( [], { 'dtype': 'int32' } ),
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empty( [], { 'dtype': 'complex128' } ),
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empty( [], { 'dtype': 'generic' } )
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];
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/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = rotr90( values[ i%values.length ], 1 );
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if ( typeof v !== 'object' ) {
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b.fail( 'should return an ndarray' );
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}
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}
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b.toc();
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if ( !isndarrayLike( v ) ) {
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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:ndims=1', pkg ), function benchmark( b ) {
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var values;
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var v;
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var i;
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/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
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values = [
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empty( [ 2 ], { 'dtype': 'float64' } ),
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empty( [ 2 ], { 'dtype': 'float32' } ),
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empty( [ 2 ], { 'dtype': 'int32' } ),
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empty( [ 2 ], { 'dtype': 'complex128' } ),
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empty( [ 2 ], { 'dtype': 'generic' } )
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];
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/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = rotr90( values[ i%values.length ], 1 );
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if ( typeof v !== 'object' ) {
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b.fail( 'should return an ndarray' );
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}
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}
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b.toc();
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if ( !isndarrayLike( v ) ) {
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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:ndims=2', pkg ), function benchmark( b ) {
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var values;
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var v;
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var i;
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/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
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values = [
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empty( [ 2, 2 ], { 'dtype': 'float64' } ),
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empty( [ 2, 2 ], { 'dtype': 'float32' } ),
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empty( [ 2, 2 ], { 'dtype': 'int32' } ),
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empty( [ 2, 2 ], { 'dtype': 'complex128' } ),
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empty( [ 2, 2 ], { 'dtype': 'generic' } )
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];
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/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = rotr90( values[ i%values.length ], 1 );
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if ( typeof v !== 'object' ) {
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b.fail( 'should return an ndarray' );
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}
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}
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b.toc();
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if ( !isndarrayLike( v ) ) {
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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:ndims=3', pkg ), function benchmark( b ) {
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var values;
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var v;
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var i;
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/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
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values = [
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empty( [ 2, 2, 2 ], { 'dtype': 'float64' } ),
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empty( [ 2, 2, 2 ], { 'dtype': 'float32' } ),
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empty( [ 2, 2, 2 ], { 'dtype': 'int32' } ),
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empty( [ 2, 2, 2 ], { 'dtype': 'complex128' } ),
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empty( [ 2, 2, 2 ], { 'dtype': 'generic' } )
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];
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/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = rotr90( values[ i%values.length ], 1 );
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if ( typeof v !== 'object' ) {
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b.fail( 'should return an ndarray' );
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}
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}
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b.toc();
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if ( !isndarrayLike( v ) ) {
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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:ndims=4', pkg ), function benchmark( b ) {
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var values;
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var v;
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var i;
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/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
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values = [
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empty( [ 2, 2, 2, 2 ], { 'dtype': 'float64' } ),
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empty( [ 2, 2, 2, 2 ], { 'dtype': 'float32' } ),
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empty( [ 2, 2, 2, 2 ], { 'dtype': 'int32' } ),
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empty( [ 2, 2, 2, 2 ], { 'dtype': 'complex128' } ),
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empty( [ 2, 2, 2, 2 ], { 'dtype': 'generic' } )
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];
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/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = rotr90( values[ i%values.length ], 1 );
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if ( typeof v !== 'object' ) {
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b.fail( 'should return an ndarray' );
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}
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}
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b.toc();
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if ( !isndarrayLike( v ) ) {
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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:ndims=5', pkg ), function benchmark( b ) {
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var values;
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var v;
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var i;
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/* eslint-disable object-curly-newline, stdlib/line-closing-bracket-spacing */
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values = [
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empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float64' } ),
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empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'float32' } ),
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empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'int32' } ),
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empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'complex128' } ),
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empty( [ 2, 2, 2, 2, 2 ], { 'dtype': 'generic' } )
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];
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/* eslint-enable object-curly-newline, stdlib/line-closing-bracket-spacing */
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = rotr90( values[ i%values.length ], 1 );
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if ( typeof v !== 'object' ) {
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b.fail( 'should return an ndarray' );
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}
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}
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b.toc();
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if ( !isndarrayLike( v ) ) {
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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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