bench: update random value generation

PR-URL: #9891
Co-authored-by: Athan Reines <kgryte@gmail.com>
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: hrshya

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

@@ -24,6 +24,7 @@ var bench = require( '@stdlib/bench' );
 var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var cdf = require( './../lib' );
 
@@ -32,20 +33,22 @@ var cdf = require( './../lib' );
 
 bench( pkg, function benchmark( b ) {
 	var sigma;
-	var len;
+	var opts;
 	var mu;
 	var x;
 	var y;
 	var i;
 
-	len = 100;
-	x = uniform( len, -100.0, 100.0 );
-	mu = uniform( len, -50.0, 50.0 );
-	sigma = uniform( len, EPS, 20.0 + EPS );
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, -100.0, 100.0, opts );
+	mu = uniform( 100, -50.0, 50.0, opts );
+	sigma = uniform( 100, EPS, 20.0 + EPS, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = cdf( x[ i % len ], mu[ i % len ], sigma[ i % len ]);
+		y = cdf( x[ i % x.length ], mu[ i % mu.length ], sigma[ i % sigma.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -58,7 +61,7 @@ bench( pkg, function benchmark( b ) {
 	b.end();
 });
 
-bench( pkg+':factory', function benchmark( b ) {
+bench( format( '%s::factory', pkg ), function benchmark( b ) {
 	var mycdf;
 	var sigma;
 	var mu;
@@ -69,7 +72,9 @@ bench( pkg+':factory', function benchmark( b ) {
 	mu = 0.0;
 	sigma = 1.5;
 	mycdf = cdf.factory( mu, sigma );
-	x = uniform( 100, -3.0, 3.0 );
+	x = uniform( 100, -3.0, 3.0, {
+		'dtype': 'float64'
+	});
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

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

@@ -41,20 +41,22 @@ var opts = {
 
 bench( pkg, opts, function benchmark( b ) {
 	var sigma;
-	var len;
+	var opts;
 	var mu;
 	var x;
 	var y;
 	var i;
 
-	len = 100;
-	x = uniform( len, -100.0, 100.0 );
-	mu = uniform( len, -50.0, 50.0 );
-	sigma = uniform( len, EPS, 20.0 + EPS );
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, -100.0, 100.0, opts );
+	mu = uniform( 100, -50.0, 50.0, opts );
+	sigma = uniform( 100, EPS, 20.0 + EPS, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = cdf( x[ i % len ], mu[ i % len ], sigma[ i % len ]);
+		y = cdf( x[ i % x.length ], mu[ i % mu.length ], sigma[ i % sigma.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}