bench: update random value generation

PR-URL: #9802

Reviewed-by: Philipp Burckhardt <pburckhardt@outlook.com>
Signed-off-by: Harsh <149176984+hrshya@users.noreply.github.com>

Author: hrshya

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/cdf/benchmark/benchmark.js

@@ -21,8 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -34,24 +33,21 @@ var cdf = require( './../lib' );
 bench( pkg, function benchmark( b ) {
 	var alpha;
 	var beta;
-	var len;
+	var opts;
 	var x;
 	var y;
 	var i;
 
-	len = 100;
-	alpha = new Float64Array( len );
-	beta = new Float64Array( len );
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( EPS, 20.0 );
-		alpha[ i ] = uniform( EPS, 100.0 );
-		beta[ i ] = uniform( EPS, 100.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, EPS, 20.0, opts );
+	alpha = uniform( 100, EPS, 100.0, opts );
+	beta = uniform( 100, EPS, 100.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = cdf( x[ i % len ], alpha[ i % len ], beta[ i % len ] );
+		y = cdf( x[ i % x.length ], alpha[ i % alpha.length ], beta[ i % beta.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -68,23 +64,23 @@ bench( pkg+':factory', function benchmark( b ) {
 	var mycdf;
 	var alpha;
 	var beta;
-	var len;
+	var opts;
 	var x;
 	var y;
 	var i;
 
 	alpha = 100.56789;
 	beta = 55.54321;
-	len = 100;
 	mycdf = cdf.factory( alpha, beta );
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( EPS, 50.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, EPS, 50.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = mycdf( x[ i % len ] );
+		y = mycdf( x[ i % x.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/cdf/benchmark/benchmark.native.js

@@ -42,19 +42,21 @@ var opts = {
 bench( pkg+'::native', opts, function benchmark( b ) {
 	var alpha;
 	var beta;
-	var len;
+	var opts;
 	var x;
 	var y;
 	var i;
 
-	len = 100;
-	x = uniform( len, EPS, 20.0 + EPS );
-	alpha = uniform( len, EPS, 100.0 + EPS );
-	beta = uniform( len, EPS, 100.0 + EPS );
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, EPS, 20.0 + EPS, opts );
+	alpha = uniform( 100, EPS, 100.0 + EPS, opts );
+	beta = uniform( 100, EPS, 100.0 + EPS, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = cdf( x[ i % len ], alpha[ i % len ], beta[ i % len ] );
+		y = cdf( x[ i % x.length ], alpha[ i % alpha.length ], beta[ i % beta.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}