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feat: add blas/ext/base/ndarray/dsort
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‎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");
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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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# 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
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var dsort = require( '@stdlib/blas/ext/base/ndarray/dsort' );
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```
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#### dsort( arrays )
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Sorts a double-precision floating-point ndarray.
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
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var ndarray = require( '@stdlib/ndarray/base/ctor' );
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var xbuf = new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] );
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var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
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var order = scalar2ndarray( 1.0, {
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'dtype': 'generic'
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});
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var out = dsort( [ x, order ] );
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// returns <ndarray>[ -4.0, -2.0, 1.0, 3.0 ]
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```
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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**).
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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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</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
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var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
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var ndarray = require( '@stdlib/ndarray/base/ctor' );
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var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
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var ndarray2array = require( '@stdlib/ndarray/to-array' );
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var dsort = require( '@stdlib/blas/ext/base/ndarray/dsort' );
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var xbuf = discreteUniform( 10, -100, 100, {
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'dtype': 'float64'
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});
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var x = new ndarray( 'float64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' );
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console.log( ndarray2array( x ) );
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var order = scalar2ndarray( 1.0, {
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'dtype': 'generic'
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});
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dsort( [ x, order ] );
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console.log( ndarray2array( x ) );
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order = scalar2ndarray( -1.0, {
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'dtype': 'generic'
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});
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dsort( [ x, order ] );
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console.log( ndarray2array( x ) );
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```
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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 -->

‎lib/node_modules/@stdlib/blas/ext/base/ndarray/dsort/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 uniform = require( '@stdlib/random/array/uniform' );
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var pow = require( '@stdlib/math/base/special/pow' );
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var ndarray = require( '@stdlib/ndarray/base/ctor' );
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var format = require( '@stdlib/string/format' );
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var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
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var pkg = require( './../package.json' ).name;
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var dsort = require( './../lib' );
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// VARIABLES //
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var options = {
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'dtype': 'float64'
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};
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// FUNCTIONS //
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/**
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* Creates a benchmark function.
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*
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* @private
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* @param {PositiveInteger} len - array length
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* @returns {Function} benchmark function
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*/
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function createBenchmark( len ) {
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var order;
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var xbuf;
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var x;
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xbuf = uniform( len, 0.0, 100.0, options );
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x = new ndarray( options.dtype, xbuf, [ len ], [ 1 ], 0, 'row-major' );
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order = scalar2ndarray( -1.0, options );
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return benchmark;
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/**
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* Benchmark function.
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*
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* @private
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* @param {Benchmark} b - benchmark instance
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*/
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function benchmark( b ) {
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var out;
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var i;
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b.tic();
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for ( i = 0; i < b.iterations; i++ ) {
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out = dsort( [ x, order ] );
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if ( typeof out !== '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 ( xbuf[ i%len ] !== xbuf[ i%len ] ) {
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b.fail( 'should not return NaN' );
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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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}
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// MAIN //
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/**
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* Main execution sequence.
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*
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* @private
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*/
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function main() {
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var len;
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var min;
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var max;
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var f;
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var i;
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min = 1; // 10^min
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max = 6; // 10^max
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for ( i = min; i <= max; i++ ) {
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len = pow( 10, i );
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f = createBenchmark( len );
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bench( format( '%s:len=%d', pkg, len ), f );
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}
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}
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main();

‎lib/node_modules/@stdlib/blas/ext/base/ndarray/dsort/docs/repl.txt‎

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{{alias}}( arrays )
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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
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decreasing order. When the sort order is greater than zero, the input
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ndarray is sorted in increasing order. When the sort order is equal to zero,
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the input ndarray is left unchanged.
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The input ndarray is sorted *in-place* (i.e., the input strided array is
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*mutated*).
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Parameters
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----------
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arrays: ArrayLikeObject<ndarray>
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Array-like object containing a one-dimensional input ndarray and a
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zero-dimensional ndarray specifying the sort order.
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Returns
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-------
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out: ndarray
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Input ndarray.
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Examples
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--------
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> var xbuf = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, -4.0 ] );
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> var dt = 'float64';
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> var sh = [ xbuf.length ];
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> var sx = [ 1 ];
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> var ox = 0;
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> var ord = 'row-major';
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> var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, sx, ox, ord );
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> var o = {{alias:@stdlib/ndarray/from-scalar}}( 1.0, { 'dtype': dt } );
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> {{alias}}( [ x, o ] )
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<ndarray>
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> var data = x.data
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<Float64Array>[ -4.0, -2.0, 1.0, 3.0 ]
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See Also
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--------

‎lib/node_modules/@stdlib/blas/ext/base/ndarray/dsort/docs/types/index.d.ts‎

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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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// 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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/**
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* Sorts a double-precision floating-point ndarray.
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*
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* ## Notes
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*
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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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*
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* @param arrays - array-like object containing a one-dimensional input ndarray and a zero-dimensional ndarray specifying the sort order
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* @returns input ndarray
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*
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* @example
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* var Float64Array = require( '@stdlib/array/float64' );
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* var scalar2ndarray = require( '@stdlib/ndarray/from-scalar' );
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* var ndarray = require( '@stdlib/ndarray/base/ctor' );
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*
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* var xbuf = new Float64Array( [ 1.0, -2.0, 3.0, -4.0 ] );
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* var x = new ndarray( 'float64', xbuf, [ 4 ], [ 1 ], 0, 'row-major' );
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*
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* var ord = scalar2ndarray( 1.0, {
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* 'dtype': 'generic'
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* });
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*
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* var out = dsort( [ x, ord ] );
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* // returns <ndarray>[ -4.0, -2.0, 1.0, 3.0 ]
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*/
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declare function dsort( arrays: [ float64ndarray, typedndarray<number> ] ): float64ndarray;
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// EXPORTS //
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export = dsort;

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