bench: revert uniform implementation and remove unnecessary loop

PR-URL: #5314
Closes: #5228

Co-authored-by: Philipp Burckhardt <[email protected]>
Reviewed-by: Neeraj Pathak <[email protected]>
Reviewed-by: Karan Anand <[email protected]>
Reviewed-by: Saurabh Singh <[email protected]>Co-authored-by: Philipp Burckhardt <[email protected]>
Reviewed-by: Philipp Burckhardt <[email protected]>

Author: abhishekblue

lib/node_modules/@stdlib/stats/base/dists/planck/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' );
@@ -32,19 +31,14 @@ var median = require( './../lib' );
 
 bench( pkg, function benchmark( b ) {
 	var lambda;
-	var len;
 	var y;
 	var i;
 
-	len =100;
-	lambda = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		lambda[ i ] = uniform( 1.0, 10.0);
-	}
+	lambda = uniform( 100, 0.1, 10.0 );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = median( lambda[ i % len ] );
+		y = median( lambda[ i % lambda.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/planck/median/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 isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -41,19 +40,14 @@ var opts = {
 
 bench( pkg+'::native', opts, function benchmark( b ) {
 	var lambda;
-	var len;
 	var y;
 	var i;
 
-	len = 100;
-	lambda = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		lambda[ i ] = uniform( 1.0, 10.0 );
-	}
+	lambda = uniform( 100, 0.1, 10.0 );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = median( lambda[ i % len ] );
+		y = median( lambda[ i % lambda.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}