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Original file line numberDiff line numberDiff line change
Expand Up@@ -45,7 +45,7 @@ bench( pkg, function benchmark( b ) {
p = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
p[ i ] = uniform( 0.0, 1.0 );
alpha[ i ] = uniform( EPS, 100.0 );
alpha[ i ] = uniform( 3.0 + EPS, 100.0 );
beta[ i ] = uniform( EPS, 100.0 );
}

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,74 @@
/**
* @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 //

var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
var randu = require( '@stdlib/random/base/randu' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;


// VARIABLES //

var quantile = tryRequire( resolve( __dirname, './../lib/native.js' ) );
var opts = {
'skip': ( quantile instanceof Error )
};


// MAIN //

bench( pkg+'::native', opts, function benchmark( b ) {
var alpha;
var beta;
var len;
var p;
var y;
var i;

len = 100;
alpha = new Float64Array( len );
beta = new Float64Array( len );
p = new Float64Array( len );
for ( i = 0; i < len; i++ ) {
p[ i ] = ( randu() * 1.0 );
alpha[ i ] = ( randu() * 10.0 ) + 3.0 + EPS;
beta[ i ] = ( randu() * 10.0 ) + EPS;
}

b.tic();
for ( i = 0; i < b.iterations; i++ ) {
y = quantile( p[ i % len ], alpha[ i % len ], beta[ 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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