chore: clean up

Author: Neerajpathak07

lib/node_modules/@stdlib/stats/base/dists/bernoulli/skewness/README.md

@@ -199,7 +199,7 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 10; i++ ) {
-        p = random_uniform( 0.1, 10.0 );
+        p = random_uniform( 0.0, 1.0 );
         y = stdlib_base_dists_bernoulli_skewness( p );
         printf( "x: %lf , skew(X;p): %lf\n", p , y );
     }

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

@@ -21,7 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var skewness = require( './../lib' );
@@ -30,14 +31,20 @@ var skewness = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var len;
 	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 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		p = randu();
-		y = skewness( p );
+		y = skewness( p[ i%100 ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -22,7 +22,8 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -39,14 +40,20 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
+	var len;
 	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 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		p = randu();
-		y = skewness( p );
+		y = skewness( p[ i%100 ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/skewness/examples/c/example.c

@@ -31,7 +31,7 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
-		p = random_uniform( 0.1, 10.0 );
+		p = random_uniform( 0.0, 1.0 );
 		y = stdlib_base_dists_bernoulli_skewness( p );
 		printf( "x: %lf , skew(X;p): %lf\n", p , y );
 	}