bench: update random value generation

PR-URL: #9584

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/bernoulli/cdf/benchmark/benchmark.js

@@ -21,8 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var cdf = require( './../lib' );
@@ -31,23 +30,21 @@ var cdf = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
-	var len;
+	var opts;
 	var p;
 	var x;
 	var y;
 	var i;
 
-	len = 100;
-	x = new Float64Array( len );
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( -1.0, 2.0 );
-		p[ i ] = uniform( 0.0, 1.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, -1.0, 2.0, opts );
+	p = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = cdf( x[ i % len ], p[ i % len ] );
+		y = cdf( x[ i % x.length ], p[ i % p.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -62,7 +59,7 @@ bench( pkg, function benchmark( b ) {
 
 bench( pkg+':factory', function benchmark( b ) {
 	var mycdf;
-	var len;
+	var opts;
 	var p;
 	var x;
 	var y;
@@ -71,15 +68,14 @@ bench( pkg+':factory', function benchmark( b ) {
 	p = 0.3;
 	mycdf = cdf.factory( p );
 
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( -1.0, 2.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, -1.0, 2.0, 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/bernoulli/cdf/benchmark/benchmark.native.js

@@ -22,8 +22,7 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -40,23 +39,21 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
-	var len;
+	var opts;
 	var p;
 	var x;
 	var y;
 	var i;
 
-	len = 100;
-	x = new Float64Array( len );
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( -1.0, 2.0 );
-		p[ i ] = uniform( 0.0, 1.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, -1.0, 2.0, opts );
+	p = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = cdf( x[ i % len ], p[ i % len ] );
+		y = cdf( x[ i % x.length ], p[ i % p.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/entropy/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 pkg = require( './../package.json' ).name;
 var entropy = require( './../lib' );
@@ -31,20 +30,19 @@ var entropy = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
-	var len;
+	var opts;
 	var p;
 	var y;
 	var i;
 
-	len = 100;
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		p[ i ] = uniform( 0.0, 1.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	p = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = entropy( p[ i % len ] );
+		y = entropy( p[ i % p.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/entropy/benchmark/benchmark.native.js

@@ -22,8 +22,7 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -40,20 +39,19 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
-	var len;
+	var opts;
 	var p;
 	var y;
 	var i;
 
-	len = 100;
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		p[ i ] = randu();
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	p = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = entropy( p[ i % len ] );
+		y = entropy( p[ i % p.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/kurtosis/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 pkg = require( './../package.json' ).name;
 var kurtosis = require( './../lib' );
@@ -31,20 +30,19 @@ var kurtosis = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
-	var len;
+	var opts;
 	var p;
 	var y;
 	var i;
 
-	len = 100;
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		p[ i ] = uniform( 0.0, 1.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	p = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = kurtosis( p[ i % len ] );
+		y = kurtosis( p[ i % p.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/kurtosis/benchmark/benchmark.native.js

@@ -22,8 +22,7 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -40,20 +39,19 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
-	var len;
+	var opts;
 	var p;
 	var y;
 	var i;
 
-	len = 100;
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		p[ i ] = randu();
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	p = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = kurtosis( p[ i % len ] );
+		y = kurtosis( p[ i % p.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/mean/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;
@@ -32,20 +31,19 @@ var mean = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
-	var len;
+	var opts;
 	var p;
 	var y;
 	var i;
 
-	len = 100;
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		p[ i ] = uniform( EPS, 1.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	p = uniform( 100, EPS, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = mean( p[ i%len ] );
+		y = mean( p[ i % p.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/mean/benchmark/benchmark.native.js

@@ -22,8 +22,7 @@
 
 var resolve = require( 'path' ).resolve;
 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 EPS = require( '@stdlib/constants/float64/eps' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -41,20 +40,19 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
-	var len;
+	var opts;
 	var p;
 	var y;
 	var i;
 
-	len = 100;
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		p[ i ] = uniform( EPS, 1.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	p = uniform( 100, EPS, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = mean( p[ i % len ] );
+		y = mean( p[ i % p.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/median/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 pkg = require( './../package.json' ).name;
 var median = require( './../lib' );
@@ -31,20 +30,19 @@ var median = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
-	var len;
+	var opts;
 	var p;
 	var y;
 	var i;
 
-	len = 100;
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		p[ i ] = uniform( 0.0, 1.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	p = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = median( p[ i % len ] );
+		y = median( p[ i % p.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}