bench: update random value generation

PR-URL: #9991
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: hrshya

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

@@ -21,10 +21,10 @@
 // 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 format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var cdf = require( './../lib' );
 
@@ -33,25 +33,22 @@ var cdf = require( './../lib' );
 
 bench( pkg, function benchmark( b ) {
 	var lambda;
-	var len;
+	var opts;
 	var k;
 	var x;
 	var y;
 	var i;
 
-	len = 100;
-	x = new Float64Array( len );
-	lambda = new Float64Array( len );
-	k = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( EPS, 100.0 );
-		lambda[ i ] = uniform( EPS, 100.0 );
-		k[ i ] = uniform( EPS, 100.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, EPS, 100.0, opts );
+	lambda = uniform( 100, EPS, 100.0, opts );
+	k = uniform( 100, EPS, 100.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = cdf( x[ i % len ], k[ i % len ], lambda[ i % len ] );
+		y = cdf( x[ i % x.length ], k[ i % k.length ], lambda[ i % lambda.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -64,10 +61,10 @@ bench( pkg, function benchmark( b ) {
 	b.end();
 });
 
-bench( pkg+':factory', function benchmark( b ) {
+bench( format( '%s::factory', pkg ), function benchmark( b ) {
 	var lambda;
 	var mycdf;
-	var len;
+	var opts;
 	var k;
 	var x;
 	var y;
@@ -76,15 +73,15 @@ bench( pkg+':factory', function benchmark( b ) {
 	lambda = 3.14;
 	k = 2.25;
 	mycdf = cdf.factory( k, lambda );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( EPS, 100.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, EPS, 100.0, 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/weibull/cdf/benchmark/benchmark.native.js

@@ -22,11 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
 var EPS = require( '@stdlib/constants/float64/eps' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -40,27 +40,24 @@ var opts = {
 
 // MAIN //
 
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
 	var lambda;
-	var len;
+	var opts;
 	var k;
 	var x;
 	var y;
 	var i;
 
-	len = 100;
-	x = new Float64Array( len );
-	lambda = new Float64Array( len );
-	k = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( EPS, 100.0 );
-		lambda[ i ] = uniform( EPS, 100.0 );
-		k[ i ] = uniform( EPS, 100.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, EPS, 100.0, opts );
+	lambda = uniform( 100, EPS, 100.0, opts );
+	k = uniform( 100, EPS, 100.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = cdf( x[ i % len ], k[ i % len ], lambda[ i % len ] );
+		y = cdf( x[ i % x.length ], k[ i % k.length ], lambda[ i % lambda.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}