bench: refactor random number generation in benchmarks for `stats/bas…

…e/dists/uniform`

PR-URL: stdlib-js#5176
Closes: stdlib-js#4991
Ref: stdlib-js#4837
Ref: stdlib-js#4955

Co-authored-by: Philipp Burckhardt <pburckhardt@outlook.com>
Co-authored-by: stdlib-bot <noreply@stdlib.io>
Reviewed-by: Karan Anand <119553199+anandkaranubc@users.noreply.github.com>
Reviewed-by: Philipp Burckhardt <pburckhardt@outlook.com>
Signed-off-by: Philipp Burckhardt <pburckhardt@outlook.com>

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

@@ -21,7 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var cdf = require( './../lib' );
@@ -32,16 +33,24 @@ var cdf = require( './../lib' );
 bench( pkg, function benchmark( b ) {
 	var min;
 	var max;
+	var len;
 	var x;
 	var y;
 	var i;
 
+	len = 100;
+	x = new Float64Array( len );
+	min = new Float64Array( len );
+	max = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = uniform( -10.0, 10.0 );
+		min[ i ] = uniform( -20.0, 0.0 );
+		max[ i ] = uniform( min[ i ], min[ i ] + 40.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu() * 20.0 ) - 10.0;
-		min = ( randu() * 20.0 ) - 20.0;
-		max = min + ( randu() * 40.0 );
-		y = cdf( x, min, max );
+		y = cdf( x[ i % len ], min[ i % len ], max[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -58,18 +67,23 @@ bench( pkg+':factory', function benchmark( b ) {
 	var mycdf;
 	var min;
 	var max;
+	var len;
 	var x;
 	var y;
 	var i;
 
 	min = -1.5;
 	max = 1.5;
 	mycdf = cdf.factory( min, max );
+	len = 100;
+	x = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		x[ i ] = uniform( -2.0, 0.0 );
+	}
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*2.0 ) - 2.0;
-		y = mycdf( x );
+		y = mycdf( x[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}