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feat: add ndarray/to-transposed
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543339e
feat: add ndarray/to-transposed
headlessNode cab60dc
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kgryte 1dad0f4
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kgryte 05c8cf0
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kgryte 23e81fb
test: update assertion messages
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131 changes: 131 additions & 0 deletions
131
lib/node_modules/@stdlib/ndarray/to-transposed/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"); | ||
| you may not use this file except in compliance with the License. | ||
| 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 | ||
| 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. | ||
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| --> | ||
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| # toTransposed | ||
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| > Return a new [`ndarray`][@stdlib/ndarray/ctor] containing the elements of an input [`ndarray`][@stdlib/ndarray/ctor] but whose last two dimensions are transposed. | ||
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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 | ||
| var toTransposed = require( '@stdlib/ndarray/to-transposed' ); | ||
| ``` | ||
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| #### toTransposed( x ) | ||
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| Returns a new [`ndarray`][@stdlib/ndarray/ctor] containing the elements of an input [`ndarray`][@stdlib/ndarray/ctor] but whose last two dimensions are transposed. | ||
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| ```javascript | ||
| var array = require( '@stdlib/ndarray/array' ); | ||
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| var x = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] ); | ||
| // returns <ndarray>[ [ 1, 2, 3 ], [ 4, 5, 6 ] ] | ||
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| var y = toTransposed( x ); | ||
| // returns <ndarray>[ [ 1, 4 ], [ 2, 5 ], [ 3, 6 ] ] | ||
| ``` | ||
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| The function accepts the following arguments: | ||
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| - **x**: input [`ndarray`][@stdlib/ndarray/ctor]. | ||
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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 provided an [`ndarray`][@stdlib/ndarray/ctor] having fewer than two dimensions, the function raises an exception. | ||
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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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| <!-- eslint-disable max-len --> | ||
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| ```javascript | ||
| var array = require( '@stdlib/ndarray/array' ); | ||
| var ndarray2array = require( '@stdlib/ndarray/to-array' ); | ||
| var toTransposed = require( '@stdlib/ndarray/to-transposed' ); | ||
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| var x = array( [ [ [ 1, 2, 3 ], [ 4, 5, 6 ] ], [ [ 7, 8, 9 ], [ 10, 11, 12 ] ] ] ); | ||
| console.log( ndarray2array( x ) ); | ||
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| var y = toTransposed( x ); | ||
| console.log( ndarray2array( y ) ); | ||
| ``` | ||
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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 --> | ||
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173
lib/node_modules/@stdlib/ndarray/to-transposed/benchmark/benchmark.js
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| /** | ||
| * @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. | ||
| */ | ||
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| 'use strict'; | ||
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| // MODULES // | ||
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| var bench = require( '@stdlib/bench' ); | ||
| var Float64Array = require( '@stdlib/array/float64' ); | ||
| var ndarrayBase = require( '@stdlib/ndarray/base/ctor' ); | ||
| var ndarray = require( '@stdlib/ndarray/ctor' ); | ||
| var isndarrayLike = require( '@stdlib/assert/is-ndarray-like' ); | ||
| var format = require( '@stdlib/string/format' ); | ||
| var pkg = require( './../package.json' ).name; | ||
| var toTransposed = require( './../lib' ); | ||
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| // MAIN // | ||
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| bench( format( '%s:ctor=base,ndims=2', pkg ), function benchmark( b ) { | ||
| var strides; | ||
| var buffer; | ||
| var offset; | ||
| var dtype; | ||
| var order; | ||
| var shape; | ||
| var out; | ||
| var i; | ||
| var x; | ||
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| dtype = 'float64'; | ||
| buffer = new Float64Array( 24 ); | ||
| shape = [ 4, 6 ]; | ||
| strides = [ 6, 1 ]; | ||
| offset = 0; | ||
| order = 'row-major'; | ||
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| x = ndarrayBase( dtype, buffer, shape, strides, offset, order ); | ||
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| out = toTransposed( x ); | ||
| if ( typeof out !== 'object' ) { | ||
| b.fail( 'should return an object' ); | ||
| } | ||
| } | ||
| b.toc(); | ||
| if ( !isndarrayLike( out ) ) { | ||
| b.fail( 'should return an ndarray' ); | ||
| } | ||
| b.pass( 'benchmark finished' ); | ||
| b.end(); | ||
| }); | ||
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| bench( format( '%s:ctor=ndarray,ndims=2', pkg ), function benchmark( b ) { | ||
| var strides; | ||
| var buffer; | ||
| var offset; | ||
| var dtype; | ||
| var order; | ||
| var shape; | ||
| var out; | ||
| var i; | ||
| var x; | ||
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| dtype = 'float64'; | ||
| buffer = new Float64Array( 24 ); | ||
| shape = [ 4, 6 ]; | ||
| strides = [ 6, 1 ]; | ||
| offset = 0; | ||
| order = 'row-major'; | ||
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| x = ndarray( dtype, buffer, shape, strides, offset, order ); | ||
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| out = toTransposed( x ); | ||
| if ( typeof out !== 'object' ) { | ||
| b.fail( 'should return an object' ); | ||
| } | ||
| } | ||
| b.toc(); | ||
| if ( !isndarrayLike( out ) ) { | ||
| b.fail( 'should return an ndarray' ); | ||
| } | ||
| b.pass( 'benchmark finished' ); | ||
| b.end(); | ||
| }); | ||
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| bench( format( '%s:ctor=base,ndims=3', pkg ), function benchmark( b ) { | ||
| var strides; | ||
| var buffer; | ||
| var offset; | ||
| var dtype; | ||
| var order; | ||
| var shape; | ||
| var out; | ||
| var i; | ||
| var x; | ||
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| dtype = 'float64'; | ||
| buffer = new Float64Array( 24 ); | ||
| shape = [ 2, 4, 3 ]; | ||
| strides = [ 12, 3, 1 ]; | ||
| offset = 0; | ||
| order = 'row-major'; | ||
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| x = ndarrayBase( dtype, buffer, shape, strides, offset, order ); | ||
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| out = toTransposed( x ); | ||
| if ( typeof out !== 'object' ) { | ||
| b.fail( 'should return an object' ); | ||
| } | ||
| } | ||
| b.toc(); | ||
| if ( !isndarrayLike( out ) ) { | ||
| b.fail( 'should return an ndarray' ); | ||
| } | ||
| b.pass( 'benchmark finished' ); | ||
| b.end(); | ||
| }); | ||
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| bench( format( '%s:ctor=ndarray,ndims=3', pkg ), function benchmark( b ) { | ||
| var strides; | ||
| var buffer; | ||
| var offset; | ||
| var dtype; | ||
| var order; | ||
| var shape; | ||
| var out; | ||
| var i; | ||
| var x; | ||
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| dtype = 'float64'; | ||
| buffer = new Float64Array( 24 ); | ||
| shape = [ 2, 4, 3 ]; | ||
| strides = [ 12, 3, 1 ]; | ||
| offset = 0; | ||
| order = 'row-major'; | ||
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| x = ndarray( dtype, buffer, shape, strides, offset, order ); | ||
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| out = toTransposed( x ); | ||
| if ( typeof out !== 'object' ) { | ||
| b.fail( 'should return an object' ); | ||
| } | ||
| } | ||
| b.toc(); | ||
| if ( !isndarrayLike( out ) ) { | ||
| b.fail( 'should return an ndarray' ); | ||
| } | ||
| b.pass( 'benchmark finished' ); | ||
| b.end(); | ||
| }); |
24 changes: 24 additions & 0 deletions
24
lib/node_modules/@stdlib/ndarray/to-transposed/docs/repl.txt
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| {{alias}}( x ) | ||
| Returns a new ndarray containing the elements of an input ndarray but whose | ||
| last two dimensions are transposed. | ||
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| Parameters | ||
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kgryte marked this conversation as resolved.
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| ---------- | ||
| x: ndarray | ||
| Input array. | ||
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| Returns | ||
| ------- | ||
| out: ndarray | ||
| Output array. | ||
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| Examples | ||
| -------- | ||
| > var x = {{alias:@stdlib/ndarray/array}}( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] ) | ||
| <ndarray>[ [ 1, 2, 3 ], [ 4, 5, 6 ] ] | ||
| > var y = {{alias}}( x ) | ||
| <ndarray>[ [ 1, 4 ], [ 2, 5 ], [ 3, 6 ] ] | ||
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| See Also | ||
| -------- | ||
45 changes: 45 additions & 0 deletions
45
lib/node_modules/@stdlib/ndarray/to-transposed/docs/types/index.d.ts
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| /* | ||
| * @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. | ||
| */ | ||
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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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| /** | ||
| * Returns a new ndarray containing the elements of an input ndarray but whose last two dimensions are transposed. | ||
| * | ||
|
kgryte marked this conversation as resolved.
|
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| * @param x - input array | ||
|
kgryte marked this conversation as resolved.
|
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| * @returns output ndarray | ||
| * | ||
| * @example | ||
| * var array = require( '@stdlib/ndarray/array' ); | ||
| * | ||
| * var x = array( [ [ 1, 2, 3 ], [ 4, 5, 6 ] ] ); | ||
| * // returns <ndarray>[ [ 1, 2, 3 ], [ 4, 5, 6 ] ] | ||
| * | ||
| * var y = toTransposed( x ); | ||
| * // returns <ndarray>[ [ 1, 4 ], [ 2, 5 ], [ 3, 6 ] ] | ||
| */ | ||
| declare function toTransposed<T extends ndarray = ndarray>( x: T ): T; | ||
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| // EXPORTS // | ||
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| export = toTransposed; | ||
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