bench: update random value generation

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

@@ -22,9 +22,9 @@
 
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var pkg = require( './../package.json' ).name;
 var entropy = require( './../lib' );
 
@@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) {
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		min[ i ] = ( randu()*10.0 );
-		max[ i ] = ( randu()*10.0 ) + min[ i ] + EPS;
-		mode[ i ] = ( ( max[ i ] - min[ i ] ) * randu() ) + min[ i ];
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 10.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

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

@@ -23,10 +23,10 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
-var EPS = require( '@stdlib/constants/float64/eps' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		min[ i ] = ( randu()*10.0 );
-		max[ i ] = ( randu()*10.0 ) + min[ i ] + EPS;
-		mode[ i ] = ( ( max[ i ] - min[ i ] ) * randu() ) + min[ i ];
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 10.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

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

@@ -21,10 +21,10 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var pkg = require( './../package.json' ).name;
 var kurtosis = require( './../lib' );
 
@@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) {
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		min[ i ] = ( randu()*10.0 );
-		max[ i ] = ( randu()*10.0 ) + min[ i ] + EPS;
-		mode[ i ] = ( ( max[ i ] - min[ i ] ) * randu() ) + min[ i ];
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 10.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

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

@@ -23,10 +23,10 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
-var EPS = require( '@stdlib/constants/float64/eps' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		min[ i ] = ( randu()*10.0 );
-		max[ i ] = ( randu()*10.0 ) + min[ i ] + EPS;
-		mode[ i ] = ( ( max[ i ] - min[ i ] ) * randu() ) + min[ i ];
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 10.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

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

@@ -21,9 +21,9 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var pkg = require( './../package.json' ).name;
 var mean = require( './../lib' );
 
@@ -43,9 +43,9 @@ bench( pkg, function benchmark( b ) {
 	bnd = new Float64Array( len );
 	c = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		a[ i ] = randu() * 20.0;
-		bnd[ i ] = ( randu() * 20.0 ) + a[ i ];
-		c[ i ] = ( randu() * ( bnd[i] - a[i] ) ) + a[i];
+		a[ i ] = uniform( 0.0, 20.0 );
+		bnd[ i ] = uniform( a[ i ], a[ i ] + 20.0 );
+		c[ i ] = uniform( a[ i ], bnd[ i ] );
 	}
 
 	b.tic();

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

@@ -23,7 +23,7 @@
 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/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -52,9 +52,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	bnd = new Float64Array( len );
 	c = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		a[ i ] = ( randu() * 20.0 );
-		bnd[ i ] = ( randu() * 20.0 ) + a[ i ];
-		c[ i ] = ( randu() * ( bnd[i] - a[i] ) ) + a[i];
+		a[ i ] = uniform( 0.0, 20.0 );
+		bnd[ i ] = uniform( a[ i ], a[ i ] + 20.0);
+		c[ i ] = uniform( a[ i ], bnd[ i ] );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/median/benchmark/benchmark.js

@@ -21,10 +21,10 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var pkg = require( './../package.json' ).name;
 var median = require( './../lib' );
 
@@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) {
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		min[ i ] = ( randu()*10.0 );
-		max[ i ] = ( randu()*10.0 ) + min[ i ] + EPS;
-		mode[ i ] = ( ( max[ i ] - min[ i ] ) * randu() ) + min[ i ];
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 10.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/median/benchmark/benchmark.native.js

@@ -23,10 +23,10 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
-var EPS = require( '@stdlib/constants/float64/eps' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		min[ i ] = ( randu()*10.0 );
-		max[ i ] = ( randu()*10.0 ) + min[ i ] + EPS;
-		mode[ i ] = ( ( max[ i ] - min[ i ] ) * randu() ) + min[ i ];
+		min[ i ] = uniform( 0.0, 10.0);
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 10.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/mode/benchmark/benchmark.js

@@ -22,7 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var mode = require( './../lib' );
@@ -43,9 +43,9 @@ bench( pkg, function benchmark( b ) {
 	bnd = new Float64Array( len );
 	c = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		a[ i ] = randu() * 20.0;
-		bnd[ i ] = ( randu() * 20.0 ) + a[ i ];
-		c[ i ] = ( randu() * ( bnd[i] - a[i] ) ) + a[i];
+		a[ i ] = uniform( 0.0, 20.0 );
+		bnd[ i ] = uniform( a[ i ], 20.0 );
+		c[ i ] = uniform( a[ i ], bnd[ i ] );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/mode/benchmark/benchmark.native.js

@@ -23,7 +23,7 @@
 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/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -52,9 +52,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	bnd = new Float64Array( len );
 	c = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		a[ i ] = ( randu() * 20.0 ); // Lower bound
-		bnd[ i ] = ( randu() * 20.0 ) + a[ i ]; // Upper bound
-		c[ i ] = ( randu() * ( bnd[i] - a[i] ) ) + a[i]; // Mode
+		a[ i ] = uniform( 0.0, 20.0 ); // Lower bound
+		bnd[ i ] = uniform( a[ i ], 20.0 ); // Upper bound
+		c[ i ] = uniform( a[i], bnd[i] ); // Mode
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/pdf/benchmark/benchmark.js

@@ -21,9 +21,9 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
-var isnan = require( '@stdlib/math/base/assert/is-nan' );
 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;
 var pdf = require( './../lib' );
@@ -47,10 +47,10 @@ bench( pkg, function benchmark( b ) {
 	mode = new Float64Array( len );
 
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = randu() * 30.0;
-		min[ i ] = randu() * 10.0;
-		max[ i ] = min[ i ] + ( randu() * 40.0 ) + EPS;
-		mode[ i ] = min[ i ] + ( ( max[ i ] - min[ i ] ) * randu() );
+		x[ i ] = uniform( 0.0, 30.0 );
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 40.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();
@@ -84,7 +84,7 @@ bench( pkg+':factory', function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		x = ( randu()*2.0 ) - 2.0;
+		x = uniform(-2.0, 2.0);
 		y = mypdf( x );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );

lib/node_modules/@stdlib/stats/base/dists/triangular/pdf/benchmark/benchmark.native.js

@@ -23,7 +23,7 @@
 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/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -56,10 +56,10 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	mode = new Float64Array( len );
 
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = randu() * 30.0;
-		min[ i ] = randu() * 10.0;
-		max[ i ] = min[ i ] + ( randu() * 40.0 ) + EPS;
-		mode[ i ] = min[ i ] + ( ( max[ i ] - min[ i ] ) * randu() );
+		x[ i ] = uniform( 0.0, 30.0 );
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 40.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/skewness/benchmark/benchmark.js

@@ -22,7 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+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;
@@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) {
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		min[ i ] = ( randu()*10.0 );
-		max[ i ] = ( randu()*10.0 ) + min[ i ] + EPS;
-		mode[ i ] = ( ( max[ i ] - min[ i ] ) * randu() ) + min[ i ];
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 10.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/skewness/benchmark/benchmark.native.js

@@ -23,10 +23,10 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
-var EPS = require( '@stdlib/constants/float64/eps' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		min[ i ] = ( randu()*10.0 );
-		max[ i ] = ( randu()*10.0 ) + min[ i ] + EPS;
-		mode[ i ] = ( ( max[ i ] - min[ i ] ) * randu() ) + min[ i ];
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 10.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/stdev/benchmark/benchmark.js

@@ -22,7 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+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;
@@ -44,9 +44,9 @@ bench( pkg, function benchmark( b ) {
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		min[ i ] = ( randu()*10.0 );
-		max[ i ] = ( randu()*10.0 ) + min[ i ] + EPS;
-		mode[ i ] = ( ( max[ i ] - min[ i ] ) * randu() ) + min[ i ];
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 10.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/stdev/benchmark/benchmark.native.js

@@ -23,7 +23,7 @@
 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/base/uniform' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -53,9 +53,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	max = new Float64Array( len );
 	mode = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		min[ i ] = ( randu()*10.0 );
-		max[ i ] = ( randu()*10.0 ) + min[ i ] + EPS;
-		mode[ i ] = ( ( max[ i ] - min[ i ] ) * randu() ) + min[ i ];
+		min[ i ] = uniform( 0.0, 10.0 );
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 10.0 + EPS );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();