chore: stuff from code review

Author: aayush0325

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

@@ -175,7 +175,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_betaprime_kurtosis( alpha, beta )
 
-Returns the excess kurtosis of an betaprime distribution.
+Returns the excess kurtosis of a beta prime distribution.
 
 ```c
 double out = stdlib_base_dists_betaprime_kurtosis( 2.0, 6.0 );
@@ -184,8 +184,8 @@ double out = stdlib_base_dists_betaprime_kurtosis( 2.0, 6.0 );
 
 The function accepts the following arguments:
 
--   **alpha**: `[in] double` first shape parameter
--   **beta**: `[in] double` second shape parameter
+-   **alpha**: `[in] double` first shape parameter.
+-   **beta**: `[in] double` second shape parameter.
 
 ```c
 double stdlib_base_dists_betaprime_kurtosis( const double alpha, const double beta );
@@ -220,9 +220,14 @@ int main( void ) {
     double y;
     int i;
 
+    static double random_uniform( const double min, const double max ) {
+        double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+        return min + ( v*(max-min) );
+    }
+
     for ( i = 0; i < 25; i++ ) {
-        a = ( (double)rand() / (double)RAND_MAX ) * 20.0;
-        b = ( (double)rand() / (double)RAND_MAX ) * 20.0 + 4.0;
+        a = random_uniform( 0, 20 );
+        b = random_uniform( 0, 20 ) + 4.0;
         y = stdlib_base_dists_betaprime_kurtosis( a, b );
         printf( "α: %lf, β: %lf, Kurt(X;α,β): %lf", a, b, y );
     }

lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/benchmark/benchmark.js

@@ -21,6 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
+var Float64Array = require( '@stdlib/array/float64' );
 var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -33,14 +34,21 @@ var kurtosis = require( './../lib' );
 bench( pkg, function benchmark( b ) {
 	var alpha;
 	var beta;
+	var len;
 	var y;
 	var i;
 
+	len = 100;
+	alpha = new Float64Array( len );
+	beta = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = ( randu() * 20.0 ) + EPS;
+		beta[ i ] = ( randu() * 20.0 ) + 4.0 + EPS;
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		alpha = ( randu()*10.0 ) + EPS;
-		beta = ( randu()*10.0 ) + 4.0 + EPS;
-		y = kurtosis( alpha, beta );
+		y = kurtosis( alpha[ i % len ], beta[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/benchmark/benchmark.native.js

@@ -22,6 +22,7 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
+var Float64Array = require( '@stdlib/array/float64' );
 var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -42,14 +43,21 @@ var opts = {
 bench( pkg, opts, function benchmark( b ) {
 	var alpha;
 	var beta;
+	var len;
 	var y;
 	var i;
 
+	len = 100;
+	alpha = new Float64Array( len );
+	beta = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = ( randu() * 20.0 ) + EPS;
+		beta[ i ] = ( randu() * 20.0 ) + 4.0 + EPS;
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		alpha = ( randu()*10.0 ) + EPS;
-		beta = ( randu()*10.0 ) + 4.0 + EPS;
-		y = kurtosis( alpha, beta );
+		y = kurtosis( alpha[ i % 100 ], beta[ i % 100 ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -75,13 +75,15 @@ static double tic( void ) {
 }
 
 /**
-* Generates a random number on the interval [0,1).
+* Generates a random number on the interval [min,max).
 *
-* @return random number
+* @param min    minimum value (inclusive)
+* @param max    maximum value (exclusive)
+* @return       random number
 */
-static double rand_double( void ) {
-	int r = rand();
-	return (double)r / ( (double)RAND_MAX + 1.0 );
+static double random_uniform( const double min, const double max ) {
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v*(max-min) );
 }
 
 /**
@@ -91,17 +93,20 @@ static double rand_double( void ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-	double alpha;
-	double beta;
+	double alpha[ 100 ];
+	double beta[ 100 ];
 	double y;
 	double t;
 	int i;
 
+	for ( i = 0; i < 100; i++ ) {
+		alpha[ i ] = random_uniform( 0, 20 );
+		beta[ i ] = random_uniform( 0, 20 ) + 4.0;
+	}
+
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		alpha = 20.0 * rand_double();
-		beta = 20 * rand_double() + 4.0;
-		y = stdlib_base_dists_betaprime_kurtosis( alpha, beta );
+		y = stdlib_base_dists_betaprime_kurtosis( alpha[ i % 100 ], beta[ i % 100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

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

@@ -20,15 +20,20 @@
 #include <stdlib.h>
 #include <stdio.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 y;
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		alpha = ( (double)rand() / (double)RAND_MAX ) * 20.0;
-		beta = ( (double)rand() / (double)RAND_MAX ) * 20.0 + 4.0;
+		alpha = random_uniform( 0, 20 );
+		beta = random_uniform( 0, 20 ) + 4.0;
 		y = stdlib_base_dists_betaprime_kurtosis( alpha, beta );
 		printf( "α: %lf, β: %lf, Kurt(X;α,β): %lf\n", alpha, beta, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/betaprime/kurtosis/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Returns the excess kurtosis of a beta prime distribution.
 *
+* @private
 * @param {PositiveNumber} alpha - first shape parameter
 * @param {PositiveNumber} beta - second shape parameter
 * @returns {number} kurtosis

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

@@ -20,11 +20,11 @@
 #include "stdlib/math/base/assert/is_nan.h"
 
 /**
-* Returns the excess kurtosis of an beta prime distribution.
+* Returns the excess kurtosis of a beta prime distribution.
 *
 * @param alpha    first shape parameter
-* @param beta    second shape paramter
-* @return     excess kurtosis
+* @param beta     second shape paramter
+* @return         excess kurtosis
 *
 * @example
 * double y = stdlib_base_betaprime_kurtosis( 2.0, 6.0 );