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

lib/node_modules/@stdlib/stats/base/dists/triangular/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;
@@ -34,17 +35,26 @@
 	var mode;
 	var min;
 	var max;
+	var len;
 	var x;
 	var y;
 	var i;
 
+	len = 100;
+	min = new Float64Array( len );
+	max = new Float64Array( len );
+	mode = new Float64Array( len );
+	x = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 40.0 );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
+		x[ i ] = uniform( 0.0, 30.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = randu() * 30.0;
-		min = randu() * 10.0;
-		max = min + ( randu() * 40.0 ) + EPS;
-		mode = min + ( ( max - min ) * randu() );
-		y = cdf( x, min, max, mode );
+		y = cdf( x[ i % len ], min[ i % len ], max[ i % len ], mode[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -62,19 +72,24 @@
 	var mode;
 	var min;
 	var max;
+	var len;
 	var x;
 	var y;
 	var i;
 
+	len = 100;
 	min = -1.5;
 	max = 1.5;
 	mode = 0.5;
 	mycdf = cdf.factory( min, max, mode );
+	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' );
 		}