chore: apply suggestions from code review

Signed-off-by: Philipp Burckhardt <[email protected]>

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/README.md

@@ -173,7 +173,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_kumaraswamy_mean( a, b )
 
-Returns the expected value of a Kumaraswamy's double bounded distribution.
+Returns the [expected value][mean] of a [Kumaraswamy's double bounded][kumaraswamy-distribution] distribution with first shape parameter `a` and second shape parameter `b`.
 
 ```c
 double out = stdlib_base_dists_kumaraswamy_mean( 1.5, 1.5 );
@@ -182,8 +182,8 @@ double out = stdlib_base_dists_kumaraswamy_mean( 1.5, 1.5 );
 
 The function accepts the following arguments:
 
--   **a**: `[in] double` first shape parameter .
--   **b**: `[in] double` second shape parameter .
+-   **a**: `[in] double` first shape parameter.
+-   **b**: `[in] double` second shape parameter.
 
 ```c
 double stdlib_base_dists_kumaraswamy_mean( const double a, const double b );
@@ -218,9 +218,9 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
+    double mean;
     double a;
     double b;
-    double mean;
     int i;
 
     for ( i = 0; i < 10; i++ ) {

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/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;
@@ -42,8 +42,8 @@ bench( pkg, function benchmark( b ) {
 	shape1 = new Float64Array( len );
 	shape2 = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		shape1[ i ] = ( randu() * 10.0 ) + EPS;
-		shape2[ i ] = ( randu() * 10.0 ) + EPS;
+		shape1[ i ] = uniform( EPS, 10.0 );
+		shape2[ i ] = uniform( EPS, 10.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/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 EPS = require( '@stdlib/constants/float64/eps' );
@@ -51,8 +51,8 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	shape1 = new Float64Array( len );
 	shape2 = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		shape1[ i ] = ( randu() * 10.0 ) + EPS;
-		shape2[ i ] = ( randu() * 10.0 ) + EPS;
+		shape1[ i ] = uniform( EPS, 10.0 );
+		shape2[ i ] = uniform( EPS, 10.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/benchmark/c/benchmark.c

@@ -93,20 +93,20 @@ static double random_uniform( const double min, const double max ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-    double a[100];
-    double b[100];
+    double a[ 100 ];
+    double b[ 100 ];
 	double y;
 	double t;
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		a[i] = random_uniform(0.0, 10.0);
-		b[i] = random_uniform(0.0, 10.0);
+		a[i] = random_uniform( 0.0, 10.0 );
+		b[i] = random_uniform( 0.0, 10.0 );
 	}
 
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		y = stdlib_base_dists_kumaraswamy_mean(a[i % 100], b[i % 100]);
+		y = stdlib_base_dists_kumaraswamy_mean( a[ i % 100 ], b[ i % 100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/examples/c/example.c

@@ -26,9 +26,9 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
+	double mean;
 	double a;
 	double b;
-	double mean;
     int i;
 
 	for ( i = 0; i < 10; i++ ) {

lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/mean/src/main.c

@@ -25,35 +25,11 @@
 *
 * @param a  first shape parameter 
 * @param b  second shape parameter 
-* @return   expected value of the distribution
+* @return   expected value
 *
 * @example
 * double y = stdlib_base_dists_kumaraswamy_mean( 1.5, 1.5 );
 * // returns ~0.512
-*
-* @example
-* double y = stdlib_base_dists_kumaraswamy_mean( 4.0, 12.0 );
-* // returns ~0.481
-*
-* @example
-* double y = stdlib_base_dists_kumaraswamy_mean( 12.0, 2.0 );
-* // returns ~0.886
-*
-* @example
-* double y = stdlib_base_dists_kumaraswamy_mean( 1.5, -0.1 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_kumaraswamy_mean( -0.1, 1.5 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_kumaraswamy_mean( 2.0, NAN );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_kumaraswamy_mean( NAN, 2.0 );
-* // returns NaN
 */
 double stdlib_base_dists_kumaraswamy_mean( const double a, const double b ) {
 	if (