diff --git a/lib/node_modules/@stdlib/stats/base/dists/bernoulli/ctor/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/bernoulli/ctor/benchmark/benchmark.js
index 1784a39c37ad..5fb823507a56 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/bernoulli/ctor/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/bernoulli/ctor/benchmark/benchmark.js
@@ -21,9 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var ln = require( '@stdlib/math/base/special/ln' );
 var pkg = require( './../package.json' ).name;
@@ -34,19 +33,18 @@ var Bernoulli = require( './../lib' );
 
 bench( pkg+'::instantiation', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var p;
 	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++ ) {
-		dist = new Bernoulli( p[ i % len ] );
+		dist = new Bernoulli( p[ i % p.length ] );
 		if ( !( dist instanceof Bernoulli ) ) {
 			b.fail( 'should return a distribution instance' );
 		}
@@ -85,23 +83,23 @@ bench( pkg+'::get:p', function benchmark( b ) {
 
 bench( pkg+'::set:p', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var p;
 	var y;
 	var i;
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	y = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		y[ i ] = uniform( 0.0, 1.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	y = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		dist.p = y[ i % len ];
-		if ( dist.p !== y[ i % len ] ) {
+		dist.p = y[ i % y.length ];
+		if ( dist.p !== y[ i % y.length ] ) {
 			b.fail( 'should return set value' );
 		}
 	}
@@ -115,7 +113,7 @@ bench( pkg+'::set:p', function benchmark( b ) {
 
 bench( pkg+':entropy', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var x;
 	var p;
 	var y;
@@ -123,15 +121,15 @@ bench( pkg+':entropy', function benchmark( b ) {
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 1.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		dist.p = x[ i % len ];
+		dist.p = x[ i % x.length ];
 		y = dist.entropy;
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
@@ -147,7 +145,7 @@ bench( pkg+':entropy', function benchmark( b ) {
 
 bench( pkg+':kurtosis', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var x;
 	var p;
 	var y;
@@ -155,15 +153,15 @@ bench( pkg+':kurtosis', function benchmark( b ) {
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 1.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		dist.p = x[ i % len ];
+		dist.p = x[ i % x.length ];
 		y = dist.kurtosis;
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
@@ -179,7 +177,7 @@ bench( pkg+':kurtosis', function benchmark( b ) {
 
 bench( pkg+':mean', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var x;
 	var p;
 	var y;
@@ -187,15 +185,15 @@ bench( pkg+':mean', function benchmark( b ) {
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 1.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		dist.p = x[ i % len ];
+		dist.p = x[ i % x.length ];
 		y = dist.mean;
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
@@ -211,7 +209,7 @@ bench( pkg+':mean', function benchmark( b ) {
 
 bench( pkg+':median', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var x;
 	var p;
 	var y;
@@ -219,15 +217,15 @@ bench( pkg+':median', function benchmark( b ) {
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 1.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		dist.p = x[ i % len ];
+		dist.p = x[ i % x.length ];
 		y = dist.median;
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
@@ -243,7 +241,7 @@ bench( pkg+':median', function benchmark( b ) {
 
 bench( pkg+':skewness', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var x;
 	var p;
 	var y;
@@ -251,15 +249,15 @@ bench( pkg+':skewness', function benchmark( b ) {
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 1.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		dist.p = x[ i % len ];
+		dist.p = x[ i % x.length ];
 		y = dist.skewness;
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
@@ -275,7 +273,7 @@ bench( pkg+':skewness', function benchmark( b ) {
 
 bench( pkg+':stdev', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var x;
 	var p;
 	var y;
@@ -283,15 +281,15 @@ bench( pkg+':stdev', function benchmark( b ) {
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 1.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		dist.p = x[ i % len ];
+		dist.p = x[ i % x.length ];
 		y = dist.stdev;
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
@@ -307,7 +305,7 @@ bench( pkg+':stdev', function benchmark( b ) {
 
 bench( pkg+':variance', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var x;
 	var p;
 	var y;
@@ -315,15 +313,15 @@ bench( pkg+':variance', function benchmark( b ) {
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 1.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		dist.p = x[ i % len ];
+		dist.p = x[ i % x.length ];
 		y = dist.variance;
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
@@ -339,7 +337,7 @@ bench( pkg+':variance', function benchmark( b ) {
 
 bench( pkg+':cdf', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var p;
 	var x;
 	var y;
@@ -347,15 +345,15 @@ bench( pkg+':cdf', function benchmark( b ) {
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 6.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, 0.0, 6.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = dist.cdf( x[ i % len ] );
+		y = dist.cdf( x[ i % x.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -370,7 +368,7 @@ bench( pkg+':cdf', function benchmark( b ) {
 
 bench( pkg+':mgf', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var p;
 	var x;
 	var y;
@@ -378,15 +376,15 @@ bench( pkg+':mgf', function benchmark( b ) {
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, -ln( 1.0-p ) );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, 0.0, -ln( 1.0-p ), opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = dist.mgf( x[ i % len ] );
+		y = dist.mgf( x[ i % x.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -401,7 +399,7 @@ bench( pkg+':mgf', function benchmark( b ) {
 
 bench( pkg+':pmf', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var p;
 	var x;
 	var y;
@@ -409,15 +407,15 @@ bench( pkg+':pmf', function benchmark( b ) {
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = discreteUniform( 0, 8 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = discreteUniform( 100, 0, 8, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = dist.pmf( x[ i % len ] );
+		y = dist.pmf( x[ i % x.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -432,7 +430,7 @@ bench( pkg+':pmf', function benchmark( b ) {
 
 bench( pkg+':quantile', function benchmark( b ) {
 	var dist;
-	var len;
+	var opts;
 	var p;
 	var x;
 	var y;
@@ -440,15 +438,15 @@ bench( pkg+':quantile', function benchmark( b ) {
 
 	p = 0.54;
 	dist = new Bernoulli( p );
-	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 1.0 );
-	}
+
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, 0.0, 1.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = dist.quantile( x[ i % len ] );
+		y = dist.quantile( x[ i % x.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}