Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
140 changes: 140 additions & 0 deletions lib/node_modules/@stdlib/ndarray/base/to-rot180/README.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,140 @@
<!--

@license Apache-2.0

Copyright (c) 2026 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.

-->

# toRot180

> Return a new ndarray where an ndarray is rotated 180 degrees in a specified plane.

<!-- 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 toRot180 = require( '@stdlib/ndarray/base/to-rot180' );
```

#### toRot180( x, dims )

Returns a new ndarray where an ndarray is rotated 180 degrees in a specified plane.

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

var x = array( [ [ 1, 2 ], [ 3, 4 ] ] );
// returns <ndarray>[ [ 1, 2 ], [ 3, 4 ] ]

var y = toRot180( x, [ 0, 1 ] );
// returns <ndarray>[ [ 4, 3 ], [ 2, 1 ] ]
```

The function accepts the following arguments:

- **x**: input ndarray.
- **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`.

</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

- Each provided dimension index must reside on the interval `[-ndims, ndims-1]`.

</section>

<!-- /.notes -->

<!-- Package usage examples. -->

<section class="examples">

## Examples

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

```javascript
var array = require( '@stdlib/ndarray/array' );
var ndarray2array = require( '@stdlib/ndarray/to-array' );
var toRot180 = require( '@stdlib/ndarray/base/to-rot180' );

// Create a 2x3 matrix:
var x = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] );

// Rotate 180 degrees in the (0,1) plane:
var y = toRot180( x, [ 0, 1 ] );
var arr = ndarray2array( y );
// returns [ [ 6, 5, 4 ], [ 3, 2, 1 ] ]

// Supports negative dimension indices:
y = toRot180( x, [ -2, -1 ] );
arr = ndarray2array( y );
// returns [ [ 6, 5, 4 ], [ 3, 2, 1 ] ]

// Rotating twice returns the original arrangement:
y = toRot180( toRot180( x, [ 0, 1 ] ), [ 0, 1 ] );
arr = ndarray2array( y );
// returns [ [ 1, 2, 3 ], [ 4, 5, 6 ] ]
```

</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">

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

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

</section>

<!-- /.links -->
204 changes: 204 additions & 0 deletions lib/node_modules/@stdlib/ndarray/base/to-rot180/benchmark/benchmark.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,204 @@
/**
* @license Apache-2.0
*
* Copyright (c) 2026 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 baseEmpty = require( '@stdlib/ndarray/base/empty' );
var empty = require( '@stdlib/ndarray/empty' );
var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var toRot180 = require( './../lib' );


// MAIN //

bench( format( '%s::base:ndims=2', pkg ), function benchmark( b ) {
var values;
var out;
var i;

values = [
baseEmpty( 'float64', [ 2, 2 ], 'row-major' ),
baseEmpty( 'float32', [ 2, 2 ], 'row-major' ),
baseEmpty( 'int32', [ 2, 2 ], 'row-major' ),
baseEmpty( 'complex128', [ 2, 2 ], 'row-major' ),
baseEmpty( 'generic', [ 2, 2 ], 'row-major' )
];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = toRot180( values[ i%values.length ], [ 0, 1 ] );
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( out ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( format( '%s::non-base:ndims=2', pkg ), function benchmark( b ) {
var values;
var out;
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++ ) {
out = toRot180( values[ i%values.length ], [ 0, 1 ] );
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( out ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( format( '%s::base:ndims=3,dims=[1,2]', pkg ), function benchmark( b ) {
var values;
var out;
var i;

values = [
baseEmpty( 'float64', [ 2, 2, 2 ], 'row-major' ),
baseEmpty( 'float32', [ 2, 2, 2 ], 'row-major' ),
baseEmpty( 'int32', [ 2, 2, 2 ], 'row-major' ),
baseEmpty( 'complex128', [ 2, 2, 2 ], 'row-major' ),
baseEmpty( 'generic', [ 2, 2, 2 ], 'row-major' )
];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = toRot180( values[ i%values.length ], [ 1, 2 ] );
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( out ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( format( '%s::base:ndims=3,dims=[0,2]', pkg ), function benchmark( b ) {
var values;
var out;
var i;

values = [
baseEmpty( 'float64', [ 2, 2, 2 ], 'row-major' ),
baseEmpty( 'float32', [ 2, 2, 2 ], 'row-major' ),
baseEmpty( 'int32', [ 2, 2, 2 ], 'row-major' ),
baseEmpty( 'complex128', [ 2, 2, 2 ], 'row-major' ),
baseEmpty( 'generic', [ 2, 2, 2 ], 'row-major' )
];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = toRot180( values[ i%values.length ], [ 0, 2 ] );
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( out ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( format( '%s::base:ndims=4', pkg ), function benchmark( b ) {
var values;
var out;
var i;

values = [
baseEmpty( 'float64', [ 2, 2, 2, 2 ], 'row-major' ),
baseEmpty( 'float32', [ 2, 2, 2, 2 ], 'row-major' ),
baseEmpty( 'int32', [ 2, 2, 2, 2 ], 'row-major' ),
baseEmpty( 'complex128', [ 2, 2, 2, 2 ], 'row-major' ),
baseEmpty( 'generic', [ 2, 2, 2, 2 ], 'row-major' )
];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = toRot180( values[ i%values.length ], [ 2, 3 ] );
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( out ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});

bench( format( '%s::base:ndims=5', pkg ), function benchmark( b ) {
var values;
var out;
var i;

values = [
baseEmpty( 'float64', [ 2, 2, 2, 2, 2 ], 'row-major' ),
baseEmpty( 'float32', [ 2, 2, 2, 2, 2 ], 'row-major' ),
baseEmpty( 'int32', [ 2, 2, 2, 2, 2 ], 'row-major' ),
baseEmpty( 'complex128', [ 2, 2, 2, 2, 2 ], 'row-major' ),
baseEmpty( 'generic', [ 2, 2, 2, 2, 2 ], 'row-major' )
];

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
out = toRot180( values[ i%values.length ], [ 3, 4 ] );
if ( typeof out !== 'object' ) {
b.fail( 'should return an ndarray' );
}
}
b.toc();
if ( !isndarrayLike( out ) ) {
b.fail( 'should return an ndarray' );
}
b.pass( 'benchmark finished' );
b.end();
});
32 changes: 32 additions & 0 deletions lib/node_modules/@stdlib/ndarray/base/to-rot180/docs/repl.txt
Original file line number Diff line number Diff line change
@@ -0,0 +1,32 @@

{{alias}}( x, dims )
Returns a new ndarray where an ndarray is rotated 180 degrees in a specified
plane.

Each provided dimension index must reside on the interval [-ndims, ndims-1].

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

dims: ArrayLikeObject<integer>
Dimension indices defining the plane of rotation. Must contain exactly
two unique dimension indices. If less than zero, an index is resolved
relative to the last dimension, with the last dimension corresponding to
the value `-1`.

Returns
-------
out: ndarray
Output array.

Examples
--------
> var x = {{alias:@stdlib/ndarray/array}}( [ [ 1, 2 ], [ 3, 4 ] ] )
<ndarray>[ [ 1, 2 ], [ 3, 4 ] ]
> var y = {{alias}}( x, [ 0, 1 ] )
<ndarray>[ [ 4, 3 ], [ 2, 1 ] ]

See Also
--------
Loading