chore: clean up

Author: Neerajpathak07

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

@@ -172,7 +172,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_beta_kurtosis( alpha, beta )
 
-Evaluates the excess kurtosis for a beta distribution with first shape parameter `alpha` and second shape parameter `beta`.
+Returns the excess kurtosis for a beta distribution with first shape parameter `alpha` and second shape parameter `beta`.
 
 ```c
 double y = stdlib_base_dists_beta_kurtosis( 1.0, 1.0 );
@@ -213,15 +213,20 @@ element and another before the `/section` close. -->
 #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 < 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;
+        alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+        beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
         y = stdlib_base_dists_beta_kurtosis( alpha, beta );
         printf( "α: %1f, β: %1f, Kurt(X;α,β): %lf\n", alpha, beta, y );
     }

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

@@ -21,7 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -33,14 +34,23 @@ 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 );
+	for ( i = 0; i < len; i++ ) {
+		alpha[ i ] = uniform( EPS, 10.0 );
+	}
+	beta = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		beta[ i ] = uniform( EPS, 10.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		alpha = ( randu()*10.0 ) + EPS;
-		beta = ( randu()*10.0 ) + 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/beta/kurtosis/benchmark/benchmark.native.js

@@ -23,6 +23,8 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var Float64Array = require( '@stdlib/array/float64' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -42,14 +44,23 @@ var opts = {
 bench( pkg+'::native', opts, function benchmark( b ) {
 	var alpha;
 	var beta;
+	var len;
 	var y;
 	var i;
 
+	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++ ) {
+		beta[ i ] = uniform( EPS, 10.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		alpha = ( randu()*10.0 ) + EPS;
-		beta = ( randu()*10.0 ) + 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/beta/kurtosis/benchmark/c/benchmark.c

@@ -76,13 +76,15 @@ 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) );
 }
 
 /**
@@ -92,17 +94,22 @@ 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( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+	}
+	for ( i = 0; i < 100; i++ ) {
+		beta[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+	}
+
 	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_beta_kurtosis( alpha, beta );
+		y = stdlib_base_dists_beta_kurtosis( alpha[ i%100 ], beta[ i%100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

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

@@ -21,16 +21,21 @@
 #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 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_beta_kurtosis( alpha, beta );
-        printf( "α: %1f, β: %1f, Kurt(X;α,β): %lf\n", alpha, beta, y );
+		alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		y = stdlib_base_dists_beta_kurtosis( alpha, beta );
+		printf( "α: %1f, β: %1f, Kurt(X;α,β): %lf\n", alpha, beta, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/beta/kurtosis/include/stdlib/stats/base/dists/beta/kurtosis.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Evaluates the excess kurtosis for a beta distribution with first shape parameter `alpha` and second shape parameter `beta`.
+* Returns the excess kurtosis for a beta distribution with first shape parameter `alpha` and second shape parameter `beta`.
 */
 double stdlib_base_dists_beta_kurtosis( const double alpha, const double beta );
 

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

@@ -19,7 +19,7 @@
 #include "stdlib/stats/base/dists/beta/kurtosis.h"
 
 /**
-* Evaluates the excess kurtosis for a beta distribution with first shape parameter `alpha` and second shape parameter `beta`.
+* Returns the excess kurtosis for a beta distribution with first shape parameter `alpha` and second shape parameter `beta`.
 *
 * @param alpha    first shape parameter
 * @param beta     second shape parameter