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feat: add ndarray/base/to-rot90
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‎lib/node_modules/@stdlib/ndarray/base/to-rot90/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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# toRot90
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> Return a new ndarray where an ndarray is rotated `90` degrees in a specified plane.
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<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
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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 toRot90 = require( '@stdlib/ndarray/base/to-rot90' );
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```
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#### toRot90( x, dims, k )
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Returns a new ndarray where an ndarray is rotated `90` degrees in a specified plane.
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```javascript
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var array = require( '@stdlib/ndarray/array' );
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var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
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// returns <ndarray>[ [ 1, 2 ], [ 3, 4 ] ]
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var y = toRot90( x, [ 0, 1 ], 1 );
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// returns <ndarray>[ [ 2, 4 ], [ 1, 3 ] ]
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```
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The function accepts the following arguments:
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- **x**: input ndarray.
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- **dims**: dimension indices defining the plane of rotation. Must contain exactly two unique dimension indices. 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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- **k**: number of times to rotate by `90` degrees. Positive values rotate counterclockwise. Negative values rotate clockwise.
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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 plane from the first specified dimension toward the second specified dimension. This means that, for a two-dimensional ndarray and `dims = [0, 1]`, the function rotates the plane counterclockwise.
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- If `k < 0`, the function rotates the plane from the second specified dimension toward the first specified dimension. This means that, for a two-dimensional ndarray and `dims = [1, 0]`, the function rotates the plane clockwise.
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- Each provided dimension index must reside on the interval `[-ndims, ndims-1]`.
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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 array = require( '@stdlib/ndarray/array' );
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var ndarray2array = require( '@stdlib/ndarray/to-array' );
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var toRot90 = require( '@stdlib/ndarray/base/to-rot90' );
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// Create a 2x3 matrix:
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var x = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] );
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// Rotate 90 degrees counterclockwise in the (0,1) plane:
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var y = toRot90( x, [ 0, 1 ], 1 );
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var arr = ndarray2array( y );
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// returns [ [ 3, 6 ], [ 2, 5 ], [ 1, 4 ] ]
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// Rotate 180 degrees:
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y = toRot90( x, [ 0, 1 ], 2 );
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arr = ndarray2array( y );
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// returns [ [ 6, 5, 4 ], [ 3, 2, 1 ] ]
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// Rotate 270 degrees counterclockwise (equivalent to k=-1):
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y = toRot90( x, [ 0, 1 ], 3 );
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arr = ndarray2array( y );
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// returns [ [ 4, 1 ], [ 5, 2 ], [ 6, 3 ] ]
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// Rotate 360 degrees (equivalent to no rotation):
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y = toRot90( x, [ 0, 1 ], 4 );
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arr = ndarray2array( y );
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// returns [ [ 1, 2, 3 ], [ 4, 5, 6 ] ]
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// Rotate 90 degrees clockwise (equivalent to k=3):
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y = toRot90( x, [ 0, 1 ], -1 );
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arr = ndarray2array( y );
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// returns [ [ 4, 1 ], [ 5, 2 ], [ 6, 3 ] ]
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// Supports negative dimension indices:
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y = toRot90( x, [ -2, -1 ], 1 );
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arr = ndarray2array( y );
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// returns [ [ 3, 6 ], [ 2, 5 ], [ 1, 4 ] ]
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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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<!-- <related-links> -->
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<!-- </related-links> -->
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</section>
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<!-- /.links -->

‎lib/node_modules/@stdlib/ndarray/base/to-rot90/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 baseEmpty = require( '@stdlib/ndarray/base/empty' );
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var empty = require( '@stdlib/ndarray/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 toRot90 = require( './../lib' );
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// MAIN //
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bench( format( '%s::base: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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values = [
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baseEmpty( 'float64', [ 2, 2 ], 'row-major' ),
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baseEmpty( 'float32', [ 2, 2 ], 'row-major' ),
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baseEmpty( 'int32', [ 2, 2 ], 'row-major' ),
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baseEmpty( 'complex128', [ 2, 2 ], 'row-major' ),
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baseEmpty( 'generic', [ 2, 2 ], 'row-major' )
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];
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = toRot90( values[ i%values.length ], [ 0, 1 ], 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::non-base: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 = toRot90( values[ i%values.length ], [ 0, 1 ], 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::base:ndims=3,dims=[1,2]', 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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values = [
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baseEmpty( 'float64', [ 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'float32', [ 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'int32', [ 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'complex128', [ 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'generic', [ 2, 2, 2 ], 'row-major' )
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];
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = toRot90( values[ i%values.length ], [ 1, 2 ], 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::base:ndims=3,dims=[0,2]', 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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values = [
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baseEmpty( 'float64', [ 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'float32', [ 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'int32', [ 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'complex128', [ 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'generic', [ 2, 2, 2 ], 'row-major' )
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];
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = toRot90( values[ i%values.length ], [ 0, 2 ], 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::base: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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values = [
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baseEmpty( 'float64', [ 2, 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'float32', [ 2, 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'int32', [ 2, 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'complex128', [ 2, 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'generic', [ 2, 2, 2, 2 ], 'row-major' )
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];
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = toRot90( values[ i%values.length ], [ 2, 3 ], 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::base: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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values = [
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baseEmpty( 'float64', [ 2, 2, 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'float32', [ 2, 2, 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'int32', [ 2, 2, 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'complex128', [ 2, 2, 2, 2, 2 ], 'row-major' ),
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baseEmpty( 'generic', [ 2, 2, 2, 2, 2 ], 'row-major' )
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];
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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v = toRot90( values[ i%values.length ], [ 3, 4 ], 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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