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

PR-URL: stdlib-js#4921
Reviewed-by: Athan Reines <[email protected]>
Co-authored-by: stdlib-bot <[email protected]>

Author: anandkaranubc

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

@@ -21,8 +21,9 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var ceil = require( '@stdlib/math/base/special/ceil' );
-var randu = require( '@stdlib/random/base/randu' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -32,18 +33,26 @@ var cdf = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var len;
 	var d1;
 	var d2;
 	var x;
 	var y;
 	var i;
 
+	len = 100;
+	x = new Float64Array( len );
+	d1 = new Float64Array( len );
+	d2 = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = uniform( EPS, 100.0 );
+		d1[ i ] = discreteUniform( 1, 100 );
+		d2[ i ] = discreteUniform( 1, 100 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*100.0 ) + EPS;
-		d1 = ceil( randu()*100.0 );
-		d2 = ceil( randu()*100.0 );
-		y = cdf( x, d1, d2 );
+		y = cdf( x[ i % len ], d1[ i % len ], d2[ i % len ]);
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -58,6 +67,7 @@ bench( pkg, function benchmark( b ) {
 
 bench( pkg+':factory', function benchmark( b ) {
 	var mycdf;
+	var len;
 	var d1;
 	var d2;
 	var x;
@@ -67,11 +77,15 @@ bench( pkg+':factory', function benchmark( b ) {
 	d1 = 1.5;
 	d2 = 1.5;
 	mycdf = cdf.factory( d1, d2 );
+	len = 100;
+	x = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = uniform( EPS, 20.0 );
+	}
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*20.0 ) + EPS;
-		y = mycdf( x );
+		y = mycdf( x[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}