bench: refactor random number generation in stats/base/dists/frechet

PR-URL: stdlib-js#4922
Reviewed-by: Athan Reines <[email protected]>
Co-authored-by: stdlib-bot <[email protected]>

Author: 2 people

lib/node_modules/@stdlib/stats/base/dists/frechet/cdf/benchmark/benchmark.js

@@ -21,7 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -32,19 +33,28 @@ var cdf = require( './../lib' );
 
 bench( pkg, function benchmark( b ) {
 	var alpha;
+	var len;
 	var m;
 	var s;
 	var x;
 	var y;
 	var i;
 
+	len = 100;
+	x = new Float64Array( len );
+	alpha = new Float64Array( len );
+	s = new Float64Array( len );
+	m = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = uniform( -50.0, 50.0 );
+		alpha[ i ] = uniform( EPS, 20.0 );
+		m[ i ] = uniform( -20.0, 40.0 );
+		s[ i ] = uniform( EPS, 20.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*100.0 ) - 50.0;
-		alpha = ( randu()*20.0 ) + EPS;
-		m = ( randu()*60.0 ) - 20.0;
-		s = ( randu()*20.0 ) + EPS;
-		y = cdf( x, alpha, s, m );
+		y = cdf( x[ i % len ], alpha[ i % len ], s[ i % len ], m[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -60,6 +70,7 @@ bench( pkg, function benchmark( b ) {
 bench( pkg+':factory', function benchmark( b ) {
 	var mycdf;
 	var alpha;
+	var len;
 	var m;
 	var s;
 	var x;
@@ -70,11 +81,15 @@ bench( pkg+':factory', function benchmark( b ) {
 	s = 3.0;
 	m = 4.0;
 	mycdf = cdf.factory( alpha, s, m );
+	len = 100;
+	x = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = uniform( 0.0, 50.0 );
+	}
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = randu() * 50.0;
-		y = mycdf( x );
+		y = mycdf( x[ i % len ]);
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}