fix: stuff from code review

Author: Neerajpathak07

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

@@ -192,7 +192,7 @@ double stdlib_base_dists_betaprime_mean( const double alpha, const double beta )
 
 <!-- /.usage -->
 
-<!-- C API usage notes. Make sure to keep an empty line after the `section` 
+<!-- C API usage notes. Make sure to keep an empty line after the `section`
 element and another before the `/section` close. -->
 
 <section class="notes">
@@ -208,10 +208,15 @@ element and another before the `/section` close. -->
 ### Examples
 
 ```c
-#include "stdlib/stats/base/dists/betaprime/mean.h"
 #include "stdlib/constants/float64/eps.h"
-#include <stdlib.h>
+#include "stdlib/stats/base/dists/betaprime/mean.h"
 #include <stdio.h>
+#include <stdlib.h>
+
+static double random_uniform( const double min, const double max ) {
+    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+    return min + ( v * ( max - min ) );
+}
 
 int main( void ) {
     double alpha;
@@ -220,9 +225,9 @@ int main( void ) {
     int i;
 
     for ( i = 0; i < 10; i++ ) {
-        alpha = ( ( (double)rand() / (double)RAND_MAX )*10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        beta = ( ( (double)rand() / (double)RAND_MAX )*10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        y = stdlib_base_dists_betaprime_mean( x, alpha, beta );
+        alpha = ( random_uniform( -10.0, 10.0 ) * 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        beta = ( random_uniform( -20.0, 0.0 ) * 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+        y = stdlib_base_dists_betaprime_mean( alpha, beta );
         printf( "α: %1f, β: %1f, E(X;α,β): %lf\n", alpha, beta, y );
     }
 }

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

@@ -16,13 +16,13 @@
 * limitations under the License.
 */
 
-#include "stdlib/stats/base/dists/betaprime/mean.h"
+#include <sys/time.h>
 #include "stdlib/constants/float64/eps.h"
-#include <stdlib.h>
-#include <stdio.h>
+#include "stdlib/stats/base/dists/betaprime/mean.h"
 #include <math.h>
+#include <stdio.h>
+#include <stdlib.h>
 #include <time.h>
-#include <sys/time.h>
 
 #define NAME "betaprime-mean"
 #define ITERATIONS 1000000
@@ -72,7 +72,7 @@ static void print_results( double elapsed ) {
 static double tic( void ) {
 	struct timeval now;
 	gettimeofday( &now, NULL );
-	return (double)now.tv_sec + (double)now.tv_usec/1.0e6;
+	return (double)now.tv_sec + (double)now.tv_usec / 1.0e6;
 }
 
 /**
@@ -83,8 +83,8 @@ static double tic( void ) {
 * @return       random number
 */
 static double random_uniform( const double min, const double max ) {
-    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
-    return min + ( v*(max-min) );
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v * ( max - min ) );
 }
 
 /**
@@ -95,16 +95,22 @@ static double random_uniform( const double min, const double max ) {
 static double benchmark( void ) {
 	double elapsed;
 	double alpha;
-    double beta;
+	double beta;
 	double y;
 	double t;
 	int i;
 
+	for ( i = 0; i < 100; i++ ) {
+		alpha = random_uniform( -10.0, 10.0 );
+		beta = random_uniform( -20.0, 0.0 );
+		y = random_uniform( alpha, beta + 40.0 );
+	}
+
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-        alpha = ( ( (double)rand() / (double)RAND_MAX )*10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        beta = ( ( (double)rand() / (double)RAND_MAX )*10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        y = stdlib_base_dists_betaprime_mean( alpha, beta );
+		alpha = ( ( (double)rand() / (double)RAND_MAX ) * 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		beta = ( ( (double)rand() / (double)RAND_MAX ) * 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		y = stdlib_base_dists_betaprime_mean( alpha, beta );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;
@@ -124,15 +130,15 @@ int main( void ) {
 	double elapsed;
 	int i;
 
-	// Use the current time to seed the random number generator:
+ // Use the current time to seed the random number generator:
 	srand( time( NULL ) );
 
 	print_version();
 	for ( i = 0; i < REPEATS; i++ ) {
 		printf( "# c::%s\n", NAME );
 		elapsed = benchmark();
 		print_results( elapsed );
-		printf( "ok %d benchmark finished\n", i+1 );
+		printf( "ok %d benchmark finished\n", i + 1 );
 	}
 	print_summary( REPEATS, REPEATS );
 }

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

@@ -16,21 +16,26 @@
 * limitations under the License.
 */
 
-#include "stdlib/stats/base/dists/betaprime/mean.h"
 #include "stdlib/constants/float64/eps.h"
-#include <stdlib.h>
+#include "stdlib/stats/base/dists/betaprime/mean.h"
 #include <stdio.h>
+#include <stdlib.h>
+
+static double random_uniform( const double min, const double max ) {
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v * ( max - min ) );
+}
 
 int main( void ) {
-    double alpha;
-    double beta;
+	double alpha;
+	double beta;
 	double y;
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
-        alpha = ( ( (double)rand() / (double)RAND_MAX )*10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        beta = ( ( (double)rand() / (double)RAND_MAX )*10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        y = stdlib_base_dists_betaprime_mean( alpha, beta );
-        printf( "α: %1f, β: %1f, E(X;α,β): %lf\n", alpha, beta, y );
+		alpha = ( random_uniform( -10.0, 10.0 ) * 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		beta = ( random_uniform( -20.0, 0.0 ) * 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		y = stdlib_base_dists_betaprime_mean( alpha, beta );
+		printf( "α: %1f, β: %1f, E(X;α,β): %lf\n", alpha, beta, y );
 	}
 }

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

@@ -16,21 +16,23 @@
 * limitations under the License.
 */
 
+#include "stdlib/stats/base/dists/betaprime/mean.h"
 
 /**
 * Evaluates the mean for a beta prime distribution with first shape parameter `alpha` and second shape parameter `beta`.
 *
-* @param x    input value 
+* @private
+* @param x        input value
 * @param alpha    first shape parameter
-* @param beta    second shape parameter
-* @returns    evaluated logPDF
+* @param beta     second shape parameter
+* @returns        evaluated logPDF
 *
 * @example
 * double y = stdlib_base_dists_betaprime_mean( 1.0, 2.0 );
 * // returns ~1.0
 */
 double stdlib_base_dists_betaprime_mean( double alpha, const double beta ) {
-    if ( alpha <= 0.0 || beta <= 1.0 ) {
+	if ( alpha <= 0.0 || beta <= 1.0 ) {
 		return 0.0 / 0.0;
 	}
 	return alpha / ( beta - 1.0 );