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Add generic BLAS ndarray interface for interchanging vectors
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‎lib/node_modules/@stdlib/blas/gswap/README.md‎

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<!--
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@license Apache-2.0
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Copyright (c) 2020 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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# gswap
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> Interchange two vectors.
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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 gswap = require( '@stdlib/blas/gswap' );
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```
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#### gswap( x, y )
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Interchanges two vectors `x` and `y`.
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```javascript
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var Float64Array = require( '@stdlib/array/float64' );
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var array = require( '@stdlib/ndarray/array' );
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var x = array( new Float64Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] ) );
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var y = array( new Float64Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] ) );
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gswap( x, y );
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var xbuf = x.data;
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// returns <Float64Array>[ 2.0, 6.0, -1.0, -4.0, 8.0 ]
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var ybuf = y.data;
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// returns <Float64Array>[ 4.0, 2.0, -3.0, 5.0, -1.0 ]
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```
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The function has the following parameters:
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- **x**: a 1-dimensional [`ndarray`][@stdlib/ndarray/array] or an array-like object.
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- **y**: a 1-dimensional [`ndarray`][@stdlib/ndarray/array] or an array-like object.
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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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- `gswap()` provides a higher-level interface to the [BLAS][blas] level 1 function [`gswap`][@stdlib/blas/base/gswap].
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- In general, for best performance, especially for large vectors, provide 1-dimensional [`ndarrays`][@stdlib/ndarray/array] whose underlying data type is either `float64` or `float32`.
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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/base/discrete-uniform' );
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var gswap = require( '@stdlib/blas/gswap' );
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var rand1 = discreteUniform.factory( 0, 100 );
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var rand2 = discreteUniform.factory( 0, 10 );
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var x = [];
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var y = [];
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var i;
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for ( i = 0; i < 10; i++ ) {
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x.push( rand1() );
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y.push( rand2() );
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}
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console.log( x );
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console.log( y );
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gswap( x, y );
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console.log( x );
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console.log( y );
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```
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</section>
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<!-- /.examples -->
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<section class="links">
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[blas]: http://www.netlib.org/blas
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[@stdlib/blas/base/gswap]: https://github.com/stdlib-js/stdlib
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[@stdlib/ndarray/array]: https://github.com/stdlib-js/stdlib
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</section>
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<!-- /.links -->

‎lib/node_modules/@stdlib/blas/gswap/benchmark/benchmark.float32.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2020 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 randu = require( '@stdlib/random/base/randu' );
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var isnan = require( '@stdlib/math/base/assert/is-nan' );
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var pow = require( '@stdlib/math/base/special/pow' );
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var Float32Array = require( '@stdlib/array/float32' );
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var array = require( '@stdlib/ndarray/array' );
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var pkg = require( './../package.json' ).name;
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var gswap = require( './../lib/main.js' );
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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 x;
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var y;
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var i;
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x = new Float32Array( len );
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y = new Float32Array( len );
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for ( i = 0; i < len; i++ ) {
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x[ i ] = ( randu()*10.0 ) - 20.0;
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y[ i ] = ( randu()*10.0 ) - 20.0;
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}
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x = array( x );
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y = array( y );
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return benchmark;
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function benchmark( b ) {
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var d;
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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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d = gswap( x, y );
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if ( isnan( d[ i%x.length ] ) ) {
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b.fail( 'should not return NaN' );
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}
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}
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b.toc();
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if ( isnan( d ) ) {
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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( pkg+':len='+len, f );
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}
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}
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main();

‎lib/node_modules/@stdlib/blas/gswap/benchmark/benchmark.float64.js‎

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2020 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 randu = require( '@stdlib/random/base/randu' );
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var isnan = require( '@stdlib/math/base/assert/is-nan' );
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var pow = require( '@stdlib/math/base/special/pow' );
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var Float64Array = require( '@stdlib/array/float64' );
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var array = require( '@stdlib/ndarray/array' );
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var pkg = require( './../package.json' ).name;
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var gswap = require( './../lib/main.js' );
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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 x;
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var y;
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var i;
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x = new Float64Array( len );
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y = new Float64Array( len );
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for ( i = 0; i < len; i++ ) {
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x[ i ] = ( randu()*10.0 ) - 20.0;
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y[ i ] = ( randu()*10.0 ) - 20.0;
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}
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x = array( x );
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y = array( y );
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return benchmark;
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function benchmark( b ) {
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var d;
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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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d = gswap( x, y );
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if ( isnan( d[ i%x.length ] ) ) {
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b.fail( 'should not return NaN' );
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}
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}
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b.toc();
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if ( isnan( d ) ) {
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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( pkg+':len='+len, f );
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}
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}
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main();

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