chore: stuff from code review

Author: aayush0325

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

@@ -168,8 +168,8 @@ double out = stdlib_base_dists_arcsine_kurtosis( 0.0, 2.0 );
 
 The function accepts the following arguments:
 
--   **a**: `[in] double` minimum support
--   **b**: `[in] double` maximum support
+-   **a**: `[in] double` minimum support.
+-   **b**: `[in] double` maximum support.
 
 ```c
 double stdlib_base_dists_arcsine_kurtosis( const double a, const double b );
@@ -203,10 +203,15 @@ int main( void ) {
     double b;
     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 - 20.0;
-        b = a + ( (double)rand() / (double)RAND_MAX ) * 40.0;
+        a = random_uniform( 0, 20 );
+        b = random_uniform( 0, 20 ) + a;
         y = stdlib_base_dists_arcsine_kurtosis( a, b );
         printf( "a: %lf, b: %lf, Kurt(X;a,b): %lf\n", a, b, y );
     }

lib/node_modules/@stdlib/stats/base/dists/arcsine/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 pkg = require( './../package.json' ).name;
@@ -32,14 +33,21 @@ var kurtosis = require( './../lib' );
 bench( pkg, function benchmark( b ) {
 	var min;
 	var max;
+	var len;
 	var y;
 	var i;
 
+	len = 100;
+	min = new Float64Array( len );
+	max = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		min[ i ] = randu() * 20.0;
+		max[ i ] = ( randu() * 20.0 ) + min;
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		min = ( randu()*10.0 );
-		max = ( randu()*10.0 ) + min;
-		y = kurtosis( min, max );
+		y = kurtosis( min[ i % len ], max[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/arcsine/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 tryRequire = require( '@stdlib/utils/try-require' );
 var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
@@ -41,14 +42,21 @@ var opts = {
 bench( pkg, opts, function benchmark( b ) {
 	var min;
 	var max;
+	var len;
 	var y;
 	var i;
 
+	len = 100;
+	min = new Float64Array( len );
+	max = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		min[ i ] = randu() * 20.0;
+		max[ i ] = ( randu() * 20.0 ) + min;
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		min = ( randu()*10.0 );
-		max = ( randu()*10.0 ) + min;
-		y = kurtosis( min, max );
+		y = kurtosis( min[ i % len ], max[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/arcsine/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 min;
-	double max;
+	double min[ 100 ];
+	double max[ 100 ];
 	double y;
 	double t;
 	int i;
 
+	for ( i = 0; i < 100; i++ ) {
+		min[ i ] = random_uniform( 0, 20 );
+		max[ i ] = random_uniform( 0, 20 ) + min;
+	}
+
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		min = ( 20.0*rand_double() ) - 20.0;
-		max = min + ( 40.0*rand_double() );
-		y = stdlib_base_dists_arcsine_kurtosis( min, max );
+		y = stdlib_base_dists_arcsine_kurtosis( min[ i % 100 ], max[ i % 100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

lib/node_modules/@stdlib/stats/base/dists/arcsine/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 a;
 	double b;
 	double y;
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		a = ( (double)rand() / (double)RAND_MAX ) * 20.0 - 20.0;
-		b = a + ( (double)rand() / (double)RAND_MAX ) * 40.0;
+		a = random_uniform( 0, 20 );
+		b = random_uniform( 0, 20 ) + a;
 		y = stdlib_base_dists_arcsine_kurtosis( a, b );
 		printf( "a: %lf, b: %lf, Kurt(X;a,b): %lf\n", a, b, y );
 	}

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

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Returns the excess kurtosis of an arcsine distribution.
 *
+* @private
 * @param {number} a - minimum support
 * @param {number} b - maximum support
 * @returns {number} excess kurtosis