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feat: add blas/base/ndarray/ccopy
MeKaustubh07 cc253ae
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121 changes: 121 additions & 0 deletions
121
lib/node_modules/@stdlib/blas/base/ndarray/ccopy/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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| # ccopy | ||
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| > Copy values from a one-dimensional single-precision complex floating-point ndarray `x` into a one-dimensional single-precision complex floating-point ndarray `y`. | ||
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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 ccopy = require( '@stdlib/blas/base/ndarray/ccopy' ); | ||
| ``` | ||
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| #### ccopy( arrays ) | ||
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| Copies values from a one-dimensional single-precision complex floating-point ndarray `x` into a one-dimensional single-precision complex floating-point ndarray `y`. | ||
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| ```javascript | ||
| var Complex64Array = require( '@stdlib/array/complex64' ); | ||
| var ndarray = require( '@stdlib/ndarray/base/ctor' ); | ||
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| var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); | ||
| var x = new ndarray( 'complex64', xbuf, [ 3 ], [ 1 ], 0, 'row-major' ); | ||
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| var ybuf = new Complex64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); | ||
| var y = new ndarray( 'complex64', ybuf, [ 3 ], [ 1 ], 0, 'row-major' ); | ||
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| var z = ccopy( [ x, y ] ); | ||
| // returns <ndarray>[ <Complex64>[ 1.0, 2.0 ], <Complex64>[ 3.0, 4.0 ], <Complex64>[ 5.0, 6.0 ] ] | ||
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| var bool = ( y === z ); | ||
| // returns true | ||
| ``` | ||
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| The function has the following parameters: | ||
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| - **arrays**: array-like object containing an input ndarray and an output ndarray. | ||
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| </section> | ||
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| <!-- /.usage --> | ||
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| <section class="notes"> | ||
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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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' ); | ||
| var Complex64Array = require( '@stdlib/array/complex64' ); | ||
| var ndarray = require( '@stdlib/ndarray/base/ctor' ); | ||
| var ndarray2array = require( '@stdlib/ndarray/to-array' ); | ||
| var ccopy = require( '@stdlib/blas/base/ndarray/ccopy' ); | ||
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| var opts = { | ||
| 'dtype': 'float32' | ||
| }; | ||
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| var xbuf = new Complex64Array( discreteUniform( 10, 0, 100, opts ) ); | ||
| var x = new ndarray( 'complex64', xbuf, [ xbuf.length ], [ 1 ], 0, 'row-major' ); | ||
| console.log( ndarray2array( x ) ); | ||
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| var ybuf = new Complex64Array( discreteUniform( xbuf.length*2, 0, 10, opts ) ); | ||
| var y = new ndarray( 'complex64', ybuf, [ ybuf.length ], [ 1 ], 0, 'row-major' ); | ||
| console.log( ndarray2array( y ) ); | ||
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| var out = ccopy( [ x, y ] ); | ||
| console.log( ndarray2array( out ) ); | ||
| ``` | ||
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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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lib/node_modules/@stdlib/blas/base/ndarray/ccopy/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 isnanf = require( '@stdlib/math/base/assert/is-nanf' ); | ||
| var realf = require( '@stdlib/complex/float32/real' ); | ||
| var pow = require( '@stdlib/math/base/special/pow' ); | ||
| var ndarray = require( '@stdlib/ndarray/base/ctor' ); | ||
| var Complex64Array = require( '@stdlib/array/complex64' ); | ||
| var format = require( '@stdlib/string/format' ); | ||
| var pkg = require( './../package.json' ).name; | ||
| var ccopy = require( './../lib' ); | ||
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| // VARIABLES // | ||
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| var options = { | ||
| 'dtype': 'complex64' | ||
| }; | ||
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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 xbuf; | ||
| var ybuf; | ||
| var x; | ||
| var y; | ||
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| xbuf = uniform( len*2, -100.0, 100.0, { | ||
| 'dtype': 'float32' | ||
| }); | ||
| x = new ndarray( options.dtype, new Complex64Array( xbuf ), [ len ], [ 1 ], 0, 'row-major' ); | ||
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| ybuf = uniform( len*2, -100.0, 100.0, { | ||
| 'dtype': 'float32' | ||
| }); | ||
| y = new ndarray( options.dtype, new Complex64Array( ybuf ), [ len ], [ 1 ], 0, 'row-major' ); | ||
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| return benchmark; | ||
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| /** | ||
| * Benchmark function. | ||
| * | ||
| * @private | ||
| * @param {Benchmark} b - benchmark instance | ||
| */ | ||
| function benchmark( b ) { | ||
| var z; | ||
| var i; | ||
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| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| z = ccopy( [ x, y ] ); | ||
| if ( typeof z !== 'object' ) { | ||
| b.fail( 'should return an ndarray' ); | ||
| } | ||
| } | ||
| b.toc(); | ||
| if ( isnanf( realf( z.get( 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/base/ndarray/ccopy/docs/repl.txt
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| {{alias}}( arrays ) | ||
| Copies values from a one-dimensional single-precision complex floating-point | ||
| ndarray `x` into a one-dimensional single-precision complex floating-point | ||
| ndarray `y`. | ||
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| If provided an empty input ndarray, the function returns the output ndarray | ||
| unchanged. | ||
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| Parameters | ||
| ---------- | ||
| arrays: ArrayLikeObject<ndarray> | ||
| Array-like object containing an input ndarray and an output ndarray. | ||
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| Returns | ||
| ------- | ||
| out: ndarray | ||
| Output ndarray. | ||
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| Examples | ||
| -------- | ||
| > var xbuf = new {{alias:@stdlib/array/complex64}}( [ 1.0, 2.0, 3.0, 4.0 ] ); | ||
| > var ybuf = new {{alias:@stdlib/array/complex64}}( [ 0.0, 0.0, 0.0, 0.0 ] ); | ||
| > var dt = 'complex64'; | ||
| > var sh = [ xbuf.length ]; | ||
| > var st = [ 1 ]; | ||
| > var oo = 0; | ||
| > var ord = 'row-major'; | ||
| > var x = new {{alias:@stdlib/ndarray/ctor}}( dt, xbuf, sh, st, oo, ord ); | ||
| > var y = new {{alias:@stdlib/ndarray/ctor}}( dt, ybuf, sh, st, oo, ord ); | ||
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| > {{alias}}( [ x, y ] ); | ||
| > y | ||
| <ndarray>[ <Complex64>[ 1.0, 2.0 ], <Complex64>[ 3.0, 4.0 ] ] | ||
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| See Also | ||
| -------- | ||
|
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52 changes: 52 additions & 0 deletions
52
lib/node_modules/@stdlib/blas/base/ndarray/ccopy/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 { complex64ndarray } from '@stdlib/types/ndarray'; | ||
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| /** | ||
| * Copies values from a one-dimensional single-precision complex floating-point ndarray `x` into a one-dimensional single-precision complex floating-point ndarray `y`. | ||
| * | ||
| * @param arrays - array-like object containing an input ndarray and an output ndarray | ||
| * @returns output ndarray | ||
| * | ||
| * @example | ||
| * var Complex64Array = require( '@stdlib/array/complex64' ); | ||
| * var ndarray = require( '@stdlib/ndarray/base/ctor' ); | ||
| * | ||
| * var xbuf = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); | ||
| * var x = new ndarray( 'complex64', xbuf, [ 3 ], [ 1 ], 0, 'row-major' ); | ||
| * | ||
| * var ybuf = new Complex64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] ); | ||
| * var y = new ndarray( 'complex64', ybuf, [ 3 ], [ 1 ], 0, 'row-major' ); | ||
| * | ||
| * var z = ccopy( [ x, y ] ); | ||
| * // returns <ndarray>[ <Complex64>[ 1.0, 2.0 ], <Complex64>[ 3.0, 4.0 ], <Complex64>[ 5.0, 6.0 ] ] | ||
| * | ||
| * var bool = ( z === y ); | ||
| * // returns true | ||
| */ | ||
| declare function ccopy( arrays: [ complex64ndarray, complex64ndarray ] ): complex64ndarray; | ||
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| // EXPORTS // | ||
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| export = ccopy; |
63 changes: 63 additions & 0 deletions
63
lib/node_modules/@stdlib/blas/base/ndarray/ccopy/docs/types/test.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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| /* eslint-disable space-in-parens */ | ||
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| import zeros = require( '@stdlib/ndarray/zeros' ); | ||
| import ccopy = require( './index' ); | ||
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| // TESTS // | ||
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| // The function returns an ndarray... | ||
| { | ||
| const x = zeros( [ 10 ], { | ||
| 'dtype': 'complex64' | ||
| }); | ||
| const y = zeros( [ 10 ], { | ||
| 'dtype': 'complex64' | ||
| }); | ||
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| ccopy( [ x, y ] ); // $ExpectType complex64ndarray | ||
| } | ||
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| // The compiler throws an error if the function is provided a first argument which is not an array of ndarrays... | ||
| { | ||
| ccopy( '10' ); // $ExpectError | ||
| ccopy( 10 ); // $ExpectError | ||
| ccopy( true ); // $ExpectError | ||
| ccopy( false ); // $ExpectError | ||
| ccopy( null ); // $ExpectError | ||
| ccopy( undefined ); // $ExpectError | ||
| ccopy( [] ); // $ExpectError | ||
| ccopy( {} ); // $ExpectError | ||
| ccopy( ( x: number ): number => x ); // $ExpectError | ||
| } | ||
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| // The compiler throws an error if the function is provided an unsupported number of arguments... | ||
| { | ||
| const x = zeros( [ 10 ], { | ||
| 'dtype': 'complex64' | ||
| }); | ||
| const y = zeros( [ 10 ], { | ||
| 'dtype': 'complex64' | ||
| }); | ||
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| ccopy(); // $ExpectError | ||
| ccopy( [ x, y ], {} ); // $ExpectError | ||
| } |
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