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feat: add blas/base/zdotu
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2790554
feat: add `blas/base/zdotu`
gururaj1512 0c56b1b
Merge remote-tracking branch 'upstream/develop' into add-blas-base-zdotu
stdlib-bot b0cc290
bench: change variable naming
ShabiShett07 afa917a
docs: improve jsdoc and change variable naming
ShabiShett07 6842519
chore: update repl
ShabiShett07 393da2b
chore: add examples
ShabiShett07 af6e6a8
test: change variable naming
ShabiShett07 01395e4
chore: update markdown file
ShabiShett07 942dc65
chore: update examples
ShabiShett07 c0139f0
docs: fix comment
kgryte 4452ea1
Merge remote-tracking branch 'upstream/develop' into add-blas-base-zdotu
stdlib-bot 3dd9675
Apply suggestions from code review
kgryte f44ab56
chore: resolve suggestions
ae427cf
chore: update documentation
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<!-- | ||
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@license Apache-2.0 | ||
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Copyright (c) 2025 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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# zdotu | ||
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> Calculate the dot product of two double-precision complex floating-point vectors. | ||
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<section class="intro"> | ||
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The [dot product][dot-product] (or scalar product) is defined as | ||
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<!-- <equation class="equation" label="eq:dot_product" align="center" raw="\mathbf{x}\cdot\mathbf{y} = \sum_{i=0}^{N-1} x_i y_i = x_0 y_0 + x_1 y_1 + \ldots + x_{N-1} y_{N-1}" alt="Dot product definition."> --> | ||
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```math | ||
\mathbf{x}\cdot\mathbf{y} = \sum_{i=0}^{N-1} x_i y_i = x_0 y_0 + x_1 y_1 + \ldots + x_{N-1} y_{N-1} | ||
``` | ||
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<!-- <div class="equation" align="center" data-raw-text="\mathbf{x}\cdot\mathbf{y} = \sum_{i=0}^{N-1} x_i y_i = x_0 y_0 + x_1 y_1 + \ldots + x_{N-1} y_{N-1}" data-equation="eq:dot_product"> | ||
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@929657146427564b61e3e6bdda76949ebe2ce923/lib/node_modules/@stdlib/blas/base/ddot/docs/img/equation_dot_product.svg" alt="Dot product definition."> | ||
<br> | ||
</div> --> | ||
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<!-- </equation> --> | ||
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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 zdotu = require( '@stdlib/blas/base/zdotu' ); | ||
``` | ||
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#### zdotu( N, x, strideX, y, strideY ) | ||
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Calculates the dot product of vectors `x` and `y`. | ||
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```javascript | ||
var Complex128Array = require( '@stdlib/array/complex128' ); | ||
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var x = new Complex128Array( [ 4.0, 2.0, -3.0, 5.0, -1.0, 7.0 ] ); | ||
var y = new Complex128Array( [ 2.0, 6.0, -1.0, -4.0, 8.0, 9.0 ] ); | ||
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var z = zdotu( 3, x, 1, y, 1 ); | ||
// returns <Complex128>[ -52.0, 82.0 ] | ||
``` | ||
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The function has the following parameters: | ||
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- **N**: number of indexed elements. | ||
- **x**: input [`Complex128Array`][@stdlib/array/complex128]. | ||
- **strideX**: stride kength for `x`. | ||
- **y**: input [`Complex128Array`][@stdlib/array/complex128]. | ||
- **strideY**: stride kength for `y`. | ||
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The `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to calculate the dot product of every other element in `x` and the first `N` elements of `y` in reverse order, | ||
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```javascript | ||
var Complex128Array = require( '@stdlib/array/complex128' ); | ||
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var x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ); | ||
var y = new Complex128Array( [ 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0 ] ); | ||
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var z = zdotu( 2, x, 2, y, -1 ); | ||
// returns <Complex128>[ -2.0, 14.0 ] | ||
``` | ||
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Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views. | ||
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<!-- eslint-disable stdlib/capitalized-comments --> | ||
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```javascript | ||
var Complex128Array = require( '@stdlib/array/complex128' ); | ||
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// Initial arrays... | ||
var x0 = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] ); | ||
var y0 = new Complex128Array( [ 7.0, 8.0, 9.0, 10.0, 11.0, 12.0 ] ); | ||
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// Create offset views... | ||
var x1 = new Complex128Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element | ||
var y1 = new Complex128Array( y0.buffer, y0.BYTES_PER_ELEMENT*2 ); // start at 3rd element | ||
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var z = zdotu( 1, x1, 1, y1, 1 ); | ||
// returns <Complex128>[ -15.0, 80.0 ] | ||
``` | ||
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#### zdotu.ndarray( N, x, strideX, offsetX, y, strideY, offsetY ) | ||
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Calculates the dot product of `x` and `y` using alternative indexing semantics. | ||
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```javascript | ||
var Complex128Array = require( '@stdlib/array/complex128' ); | ||
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var x = new Complex128Array( [ 4.0, 2.0, -3.0, 5.0, -1.0, 7.0 ] ); | ||
var y = new Complex128Array( [ 2.0, 6.0, -1.0, -4.0, 8.0, 9.0 ] ); | ||
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var z = zdotu.ndarray( x.length, x, 1, 0, y, 1, 0 ); | ||
// returns <Complex128>[ -52.0, 82.0 ] | ||
``` | ||
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The function has the following additional parameters: | ||
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- **offsetX**: starting index for `x`. | ||
- **offsetY**: starting index for `y`. | ||
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While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to calculate the dot product of every other element in `x` starting from the second element with the last 2 elements in `y` in reverse order | ||
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<!-- eslint-disable max-len --> | ||
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```javascript | ||
var Complex128Array = require( '@stdlib/array/complex128' ); | ||
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var x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] ); | ||
var y = new Complex128Array( [ 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ] ); | ||
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var z = zdotu.ndarray( 2, x, 2, 1, y, -1, y.length-1 ); | ||
// returns <Complex128>[ -40.0, 310.0 ] | ||
``` | ||
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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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- If `N <= 0`, both functions return `0.0 + 0.0i`. | ||
- `zdotu()` corresponds to the [BLAS][blas] level 1 function [`zdotu`][zdotu]. | ||
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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/base/discrete-uniform' ); | ||
var Complex128 = require( '@stdlib/complex/float64/ctor' ); | ||
var filledarrayBy = require( '@stdlib/array/filled-by' ); | ||
var zdotu = require( '@stdlib/blas/base/zdotu' ); | ||
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function rand() { | ||
return new Complex128( discreteUniform( 0, 10 ), discreteUniform( -5, 5 ) ); | ||
} | ||
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var x = filledarrayBy( 10, 'complex128', rand ); | ||
console.log( x.toString() ); | ||
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var y = filledarrayBy( 10, 'complex128', rand ); | ||
console.log( y.toString() ); | ||
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// Compute the dot product: | ||
var out = zdotu( x.length, x, 1, y, -1 ); | ||
console.log( out.toString() ); | ||
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// Compute the dot product using alternative indexing semantics: | ||
out = zdotu.ndarray( x.length, x, 1, 0, y, -1, y.length-1 ); | ||
console.log( out.toString() ); | ||
``` | ||
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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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[dot-product]: https://en.wikipedia.org/wiki/Dot_product | ||
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[blas]: http://www.netlib.org/blas | ||
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[zdotu]: https://www.netlib.org/lapack/explore-html/d1/dcc/group__dot_ga6b0b69474b384d45fc4c7b1f7ec5959f.html#ga6b0b69474b384d45fc4c7b1f7ec5959f | ||
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[@stdlib/array/complex128]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/complex128 | ||
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[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray | ||
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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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109
lib/node_modules/@stdlib/blas/base/zdotu/benchmark/benchmark.js
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/** | ||
* @license Apache-2.0 | ||
* | ||
* Copyright (c) 2025 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 isnan = require( '@stdlib/math/base/assert/is-nan' ); | ||
var pow = require( '@stdlib/math/base/special/pow' ); | ||
var Complex128Array = require( '@stdlib/array/complex128' ); | ||
var real = require( '@stdlib/complex/float64/real' ); | ||
var imag = require( '@stdlib/complex/float64/imag' ); | ||
var pkg = require( './../package.json' ).name; | ||
var zdotu = require( './../lib/zdotu.js' ); | ||
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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} N - array length | ||
* @returns {Function} benchmark function | ||
*/ | ||
function createBenchmark( N ) { | ||
var x; | ||
var y; | ||
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x = new Complex128Array( uniform( N*2, -100.0, 100.0, options ) ); | ||
y = new Complex128Array( uniform( N*2, -100.0, 100.0, options ) ); | ||
return benchmark; | ||
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/** | ||
* Benchmark function. | ||
* | ||
* @private | ||
* @param {Benchmark} b - benchmark instance | ||
*/ | ||
function benchmark( b ) { | ||
var d; | ||
var i; | ||
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b.tic(); | ||
for ( i = 0; i < b.iterations; i++ ) { | ||
d = zdotu( x.length, x, 1, y, 1 ); | ||
if ( isnan( real( d ) ) ) { | ||
b.fail( 'should not return NaN' ); | ||
} | ||
} | ||
b.toc(); | ||
if ( isnan( imag( d ) ) ) { | ||
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 min; | ||
var max; | ||
var N; | ||
var f; | ||
var i; | ||
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min = 1; // 10^min | ||
max = 5; // 10^max | ||
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for ( i = min; i <= max; i++ ) { | ||
N = pow( 10, i ); | ||
f = createBenchmark( N ); | ||
bench( pkg+':size='+N, f ); | ||
} | ||
} | ||
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main(); |
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