diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.js
index 5a46bc0b6b3e..b61c219661f4 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.js
@@ -32,16 +32,18 @@ var mode = require( './../lib' );
 
 bench( pkg, function benchmark( b ) {
 	var sigma;
-	var len;
+	var opts;
 	var y;
 	var i;
 
-	len = 100;
-	sigma = uniform( len, EPS, 20.0 );
+	opts = {
+		'dtype': 'float64'
+	};
+	sigma = uniform( 100, EPS, 20.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = mode( sigma[ i % len ] );
+		y = mode( sigma[ i%sigma.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.native.js
index f66312bd0d86..ae44ff7118e7 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.native.js
@@ -25,6 +25,7 @@ var bench = require( '@stdlib/bench' );
 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 EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
 
@@ -39,18 +40,20 @@ var opts = {
 
 // MAIN //
 
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
 	var sigma;
-	var len;
+	var opts;
 	var y;
 	var i;
 
-	len = 100;
-	sigma = uniform( len, EPS, 20.0 );
+	opts = {
+		'dtype': 'float64'
+	};
+	sigma = uniform( 100, EPS, 20.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = mode( sigma[ i % len ] );
+		y = mode( sigma[ i%sigma.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}