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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1 +1 @@ | ||
| Copyright (c) 2016-2024 The Stdlib Authors. | ||
| Copyright (c) 2016-2025 The Stdlib Authors. |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,70 @@ | ||
| /** | ||
| * @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. | ||
| */ | ||
|
|
||
| 'use strict'; | ||
|
|
||
| // MODULES // | ||
|
|
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| var resolve = require( 'path' ).resolve; | ||
| var bench = require( '@stdlib/bench-harness' ); | ||
| var Float64Array = require( '@stdlib/array-float64' ); | ||
| var randu = require( '@stdlib/random-base-randu' ); | ||
| var isnan = require( '@stdlib/math-base-assert-is-nan' ); | ||
| var tryRequire = require( '@stdlib/utils-try-require' ); | ||
| var pkg = require( './../package.json' ).name; | ||
|
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|
|
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| // VARIABLES // | ||
|
|
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| var mgf = tryRequire( resolve( __dirname, './../lib/native.js' ) ); | ||
| var opts = { | ||
| 'skip': ( mgf instanceof Error ) | ||
| }; | ||
|
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||
|
|
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| // MAIN // | ||
|
|
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| bench( pkg+'::native', opts, function benchmark( b ) { | ||
| var len; | ||
| var t; | ||
| var k; | ||
| var y; | ||
| var i; | ||
|
|
||
| len = 100; | ||
| t = new Float64Array( len ); | ||
| k = new Float64Array( len ); | ||
| for ( i = 0; i < len; i++ ) { | ||
| t[ i ] = ( randu() * 0.8 ) - 0.4; | ||
| k[ i ] = ( randu() * 10.0 ) + 0.1; | ||
| } | ||
|
|
||
| b.tic(); | ||
| for ( i = 0; i < b.iterations; i++ ) { | ||
| y = mgf( t[ i % len ], k[ i % len ] ); | ||
| if ( isnan( y ) ) { | ||
| b.fail( 'should not return NaN' ); | ||
| } | ||
| } | ||
| b.toc(); | ||
| if ( isnan( y ) ) { | ||
| b.fail( 'should not return NaN' ); | ||
| } | ||
| b.pass( 'benchmark finished' ); | ||
| b.end(); | ||
| }); |
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