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feat: add blas/ext/base/ndarray/dsort
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adcb85b
feat: add `blas/ext/base/ndarray/dsort`
sagar7162 6f6721b
fix: implemented suggested changes except in example_index_js
sagar7162 5f07aa6
fix: add suggested changes
sagar7162 812230d
fix: fixed examples
sagar7162 243e5b3
fix: fixed readme examples
sagar7162 79826f3
Merge remote-tracking branch 'upstream/develop' into dsort_blas
stdlib-bot d5997e2
test: ensure support for dtype instances
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129 changes: 129 additions & 0 deletions
129
lib/node_modules/@stdlib/blas/ext/base/ndarray/dsort/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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| # dsort | ||
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| > Sort a double-precision floating-point ndarray. | ||
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| <section class="intro"> | ||
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| </section> | ||
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| <!-- /.intro --> | ||
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| <section class="usage"> | ||
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| ## Usage | ||
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| ```javascript | ||
| var dsort = require( '@stdlib/blas/ext/base/ndarray/dsort' ); | ||
| ``` | ||
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| #### dsort( arrays ) | ||
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| Sorts a double-precision floating-point ndarray. | ||
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| ```javascript | ||
| var Float64Array = require( '@stdlib/array/float64' ); | ||
| var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); | ||
| var ndarray = require( '@stdlib/ndarray/base/ctor' ); | ||
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| var xbuf = new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] ); | ||
| var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); | ||
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| var order = scalar2ndarray( 1.0, { | ||
| 'dtype': 'generic' | ||
| }); | ||
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| var out = dsort( [ x, order ] ); | ||
| // returns <ndarray>[ -4.0, -2.0, 1.0, 3.0 ] | ||
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| var bool = ( out === x ); | ||
| // returns true | ||
| ``` | ||
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| The function has the following parameters: | ||
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| - **arrays**: array-like object containing a one-dimensional input ndarray and a zero-dimensional ndarray specifying the sort order. | ||
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| </section> | ||
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| <!-- /.usage --> | ||
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| <section class="notes"> | ||
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| ## Notes | ||
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| - The input ndarray is sorted **in-place** (i.e., the input ndarray is **mutated**). | ||
| - When the sort order is less than zero, the input ndarray is sorted in **decreasing** order. When the sort order is greater than zero, the input ndarray is sorted in **increasing** order. When the sort order is equal to zero, the input ndarray is left unchanged. | ||
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| </section> | ||
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| <!-- /.notes --> | ||
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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 | ||
| var uniform = require( '@stdlib/random/uniform' ); | ||
| var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); | ||
| var ndarray2array = require( '@stdlib/ndarray/to-array' ); | ||
| var dsort = require( '@stdlib/blas/ext/base/ndarray/dsort' ); | ||
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| var x = uniform( [ 10 ], -100, 100 ); | ||
| console.log( ndarray2array( x ) ); | ||
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| var order = scalar2ndarray( 1.0, { | ||
| 'dtype': 'generic' | ||
| }); | ||
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| dsort( [ x, order ] ); | ||
| console.log( ndarray2array( x ) ); | ||
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| order = scalar2ndarray( -1.0, { | ||
| 'dtype': 'generic' | ||
| }); | ||
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| dsort( [ x, order ] ); | ||
| console.log( ndarray2array( x ) ); | ||
| ``` | ||
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| </section> | ||
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| <!-- /.examples --> | ||
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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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| </section> | ||
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| <!-- /.links --> | ||
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111
lib/node_modules/@stdlib/blas/ext/base/ndarray/dsort/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 uniform = require( '@stdlib/random/array/uniform' ); | ||
| var pow = require( '@stdlib/math/base/special/pow' ); | ||
| var ndarray = require( '@stdlib/ndarray/base/ctor' ); | ||
| var format = require( '@stdlib/string/format' ); | ||
| var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); | ||
| var pkg = require( './../package.json' ).name; | ||
| var dsort = require( './../lib' ); | ||
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| // VARIABLES // | ||
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| var options = { | ||
| 'dtype': 'float64' | ||
| }; | ||
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| // FUNCTIONS // | ||
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| /** | ||
| * Creates a benchmark function. | ||
| * | ||
| * @private | ||
| * @param {PositiveInteger} len - array length | ||
| * @returns {Function} benchmark function | ||
| */ | ||
| function createBenchmark( len ) { | ||
| var order; | ||
| var xbuf; | ||
| var x; | ||
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| xbuf = uniform( len, 0.0, 100.0, options ); | ||
| x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' ); | ||
| order = scalar2ndarray( -1.0, options ); | ||
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| return benchmark; | ||
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| /** | ||
| * Benchmark function. | ||
| * | ||
| * @private | ||
| * @param {Benchmark} b - benchmark instance | ||
| */ | ||
| function benchmark( b ) { | ||
| var out; | ||
| var i; | ||
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| out = dsort( [ x, order ] ); | ||
| if ( typeof out !== 'object' ) { | ||
| b.fail( 'should return an ndarray' ); | ||
| } | ||
| } | ||
| b.toc(); | ||
| if ( xbuf[ i%len ] !== xbuf[ i%len ] ) { | ||
| b.fail( 'should not return NaN' ); | ||
| } | ||
| b.pass( 'benchmark finished' ); | ||
| b.end(); | ||
| } | ||
| } | ||
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| // MAIN // | ||
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| /** | ||
| * Main execution sequence. | ||
| * | ||
| * @private | ||
| */ | ||
| function main() { | ||
| var len; | ||
| var min; | ||
| var max; | ||
| var f; | ||
| var i; | ||
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| min = 1; // 10^min | ||
| max = 6; // 10^max | ||
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| for ( i = min; i <= max; i++ ) { | ||
| len = pow( 10, i ); | ||
| f = createBenchmark( len ); | ||
| bench( format( '%s:len=%d', pkg, len ), f ); | ||
| } | ||
| } | ||
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| main(); | ||
38 changes: 38 additions & 0 deletions
38
lib/node_modules/@stdlib/blas/ext/base/ndarray/dsort/docs/repl.txt
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| {{alias}}( arrays ) | ||
| Sorts a double-precision floating-point ndarray. | ||
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| When the sort order is less than zero, the input ndarray is sorted in | ||
| decreasing order. When the sort order is greater than zero, the input | ||
| ndarray is sorted in increasing order. When the sort order is equal to zero, | ||
| the input ndarray is left unchanged. | ||
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| The input ndarray is sorted *in-place* (i.e., the input strided array is | ||
| *mutated*). | ||
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| Parameters | ||
| ---------- | ||
| arrays: ArrayLikeObject<ndarray> | ||
| Array-like object containing a one-dimensional input ndarray and a | ||
| zero-dimensional ndarray specifying the sort order. | ||
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| Returns | ||
| ------- | ||
| out: ndarray | ||
| Input ndarray. | ||
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| Examples | ||
| -------- | ||
| > var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0 ] ); | ||
| > var dt = 'float64'; | ||
| > var sh = [ xbuf.length ]; | ||
| > var sx = [ 1 ]; | ||
| > var ox = 0; | ||
| > var ord = 'row-major'; | ||
| > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord ); | ||
| > var o = {{alias:@stdlib/ndarray/from-scalar}}( 1.0, { 'dtype': dt } ); | ||
| > {{alias}}( [ x, o ] ) | ||
| <ndarray>[ -4.0, -2.0, 1.0, 3.0 ] | ||
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| See Also | ||
| -------- |
58 changes: 58 additions & 0 deletions
58
lib/node_modules/@stdlib/blas/ext/base/ndarray/dsort/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 { typedndarray, float64ndarray } from '@stdlib/types/ndarray'; | ||
|
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| /** | ||
| * Sorts a double-precision floating-point ndarray. | ||
| * | ||
| * ## Notes | ||
| * | ||
| * - When the sort order is less than zero, the input ndarray is sorted in **decreasing** order. When the sort order is greater than zero, the input ndarray is sorted in **increasing** order. When the sort order is equal to zero, the input ndarray is left unchanged. | ||
| * | ||
| * @param arrays - array-like object containing a one-dimensional input ndarray and a zero-dimensional ndarray specifying the sort order | ||
| * @returns input ndarray | ||
| * | ||
| * @example | ||
| * var Float64Array = require( '@stdlib/array/float64' ); | ||
| * var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' ); | ||
| * var ndarray = require( '@stdlib/ndarray/base/ctor' ); | ||
| * | ||
| * var xbuf = new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] ); | ||
| * var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' ); | ||
| * | ||
| * var ord = scalar2ndarray( 1.0, { | ||
| * 'dtype': 'generic' | ||
| * }); | ||
| * | ||
| * var out = dsort( [ x, ord ] ); | ||
| * // returns <ndarray>[ -4.0, -2.0, 1.0, 3.0 ] | ||
| * | ||
| * var bool = ( out === x ); | ||
| * // returns true | ||
| */ | ||
| declare function dsort( arrays: [ float64ndarray, typedndarray<number> ] ): float64ndarray; | ||
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| // EXPORTS // | ||
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| export = dsort; |
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