chore: stuff from code review

Author: Neerajpathak07

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

@@ -165,7 +165,7 @@ Evaluates the probability mass function (PMF) for a Bernoulli distribution with
 
 ```c
 double y = stdlib_base_dists_bernoulli_pmf( 0.5, 0.5 );
-// returns ~0.5
+// returns 0.5
 ```
 
 The function accepts the following arguments:
@@ -216,7 +216,7 @@ int main( void ) {
         x = stdlib_base_round( random_uniform( 0.0, 2.0 ) );
         p = random_uniform( 0.0, 1.0 );
         y = stdlib_base_dists_bernoulli_pmf( x, p );
-        printf( "x: %lf , p: %1f, P( X = x; p ): %lf\n", x, p, y );
+        printf( "x: %lf. p: %1f. P( X = x; p ): %lf\n", x, p, y );
     }
 }
 ```

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

@@ -40,11 +40,9 @@ bench( pkg, function benchmark( b ) {
 
 	len = 100;
 	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = round( uniform( 0.0, 3.0 ) );
-	}
 	p = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
+		x[ i ] = round( uniform( 0.0, 3.0 ) );
 		p[ i ] = uniform( 0.0, 1.0 );
 	}
 

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

@@ -49,11 +49,9 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 
 	len = 100;
 	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = round( uniform( 0.0, 3.0 ) );
-	}
 	p = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
+		x[ i ] = round( uniform( 0.0, 3.0 ) );
 		p[ i ] = uniform( 0.0, 1.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/benchmark/c/benchmark.c

@@ -102,8 +102,6 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		x[ i ] = stdlib_base_round( random_uniform( 0.0, 3.0 ) );
-	}
-	for ( i = 0; i < 100; i++ ) {
 		p[ i ] = random_uniform( 0.0, 1.0 );
 	}
 

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

@@ -36,6 +36,6 @@ int main( void ) {
 		x = stdlib_base_round( random_uniform( 0.0, 2.0 ) );
 		p = random_uniform( 0.0, 1.0 );
 		y = stdlib_base_dists_bernoulli_pmf( x, p );
-		printf( "x: %lf , p: %1f, P( X = x; p ): %lf\n", x, p, y );
+		printf( "x: %lf. p: %1f. P( X = x; p ): %lf\n", x, p, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/src/main.c

@@ -24,11 +24,11 @@
 *
 * @param x    input value
 * @param p    success probability
-* @returns    evaluated PMF
+* @return     evaluated PMF
 *
 * @example
 * double y = stdlib_base_dists_bernoulli_pmf( 0.5, 0.5 );
-* // returns ~0.5
+* // returns 0.5
 */
 double stdlib_base_dists_bernoulli_pmf( const double x, const double p ) {
 	if (