chore: stuff from code review

Author: Neerajpathak07

lib/node_modules/@stdlib/stats/base/dists/beta/entropy/README.md

@@ -177,7 +177,7 @@ Returns the differential entropy for a beta distribution with first shape parame
 
 ```c
 double y = stdlib_base_dists_beta_entropy( 1.0, 1.0 );
-// returns ~0.0
+// returns 0.0
 ```
 
 The function accepts the following arguments:
@@ -229,7 +229,7 @@ int main( void ) {
         alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
         beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
         y = stdlib_base_dists_beta_entropy( alpha, beta );
-        printf( "α: %1f, β: %1f, h(X;α,β): %lf\n", alpha, beta, y );
+        printf( "α: %1f. β: %1f. h(X;α,β): %lf\n", alpha, beta, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/beta/entropy/benchmark/benchmark.js

@@ -40,11 +40,9 @@ bench( pkg, function benchmark( b ) {
 
 	len = 100;
 	alpha = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		alpha[ i ] = uniform( EPS, 10.0 );
-	}
 	beta = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = uniform( EPS, 10.0 );
 		beta[ i ] = uniform( EPS, 10.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/beta/entropy/benchmark/benchmark.native.js

@@ -49,11 +49,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 
 	len = 100;
 	alpha = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		alpha[ i ] = uniform( EPS, 10.0 );
-	}
 	beta = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = uniform( EPS, 10.0 );
 		beta[ i ] = uniform( EPS, 10.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/beta/entropy/benchmark/c/benchmark.c

@@ -102,8 +102,6 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		alpha[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
-	}
-	for ( i = 0; i < 100; i++ ) {
 		beta[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/beta/entropy/examples/c/example.c

@@ -36,6 +36,6 @@ int main( void ) {
 		alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 		beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 		y = stdlib_base_dists_beta_entropy( alpha, beta );
-		printf( "α: %1f, β: %1f, h(X;α,β): %lf\n", alpha, beta, y );
+		printf( "α: %1f. β: %1f. h(X;α,β): %lf\n", alpha, beta, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/beta/entropy/src/main.c

@@ -25,11 +25,11 @@
 *
 * @param alpha   first shape parameter
 * @param beta    second shape parameter
-* @returns       differential entropy
+* @return        differential entropy
 *
 * @example
 * double y = stdlib_base_dists_beta_entropy( 1.0, 1.0 );
-* // returns ~0.0
+* // returns 0.0
 */
 double stdlib_base_dists_beta_entropy( const double alpha, const double beta ) {
 	double out;