chore: clean up

Author: Neerajpathak07

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

@@ -179,18 +179,18 @@ element and another before the `/section` close. -->
 ### Examples
 
 ```c
-#include "stdlib/stats/base/dists/chisquare/mean.h"
-#include "stdlib/constants/float64/eps.h"
-#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 k;
     double y;
     int i;
 
     for ( i = 0; i < 10; i++ ) {
-        k = ( (double)rand() / (double)RAND_MAX ) * 20.0;
+        k = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
         y = stdlib_base_dists_chisquare_mean( k );
         printf( "k: %1f, E(X;k): %lf\n", k, y );
     }

lib/node_modules/@stdlib/stats/base/dists/chisquare/mean/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;
@@ -31,14 +32,20 @@ var mean = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var len;
 	var k;
 	var y;
 	var i;
 
+	len = 100;
+	k = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		k[ i ] = uniform( EPS, 20.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		k = ( randu()*20.0 ) + EPS;
-		y = mean( k );
+		y = mean( k[ i%100 ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/chisquare/mean/benchmark/benchmark.native.js

@@ -22,7 +22,8 @@
 
 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' );
@@ -40,14 +41,20 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
+	var len;
 	var k;
 	var y;
 	var i;
 
+	len = 100;
+	k = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		k[ i ] = uniform( EPS, 20.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		k = ( randu()*20.0 ) + EPS;
-		y = mean( k );
+		y = mean( k[ i%100 ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -94,15 +94,18 @@ static double random_uniform( const double min, const double max ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-    double k;
+    double k[ 100 ];
 	double y;
 	double t;
 	int i;
 
+	for ( i = 0; i < 100; i++ ) {
+		k[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
+	}
+
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-        k = ( ( (double)rand() / (double)RAND_MAX )*20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		y = stdlib_base_dists_chisquare_mean( k );
+		y = stdlib_base_dists_chisquare_mean( k[ i%100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

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

@@ -21,14 +21,19 @@
 #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 k;
+	double k;
 	double y;
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
-        k = ( (double)rand() / (double)RAND_MAX ) * 20.0;
-        y = stdlib_base_dists_chisquare_mean( k );
-        printf( "k: %1f, E(X;k): %lf\n", k, y );
+		k = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
+		y = stdlib_base_dists_chisquare_mean( k );
+		printf( "k: %1f, E(X;k): %lf\n", k, y );
 	}
 }

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

@@ -20,7 +20,7 @@
 #include "stdlib/math/base/assert/is_nan.h"
 
 /**
-* Returns the expected value of a chi-squared distribution.
+* Returns the expected value of a chi-squared distribution with degerees of freedom `k`.
 *
 * @param k    degrees of freedom
 * @returns    evaluated mean
@@ -42,7 +42,7 @@
 * // returns NaN
 */
 double stdlib_base_dists_chisquare_mean( const double k ) {
-    if ( stdlib_base_is_nan( k ) || k < 0.0 ) {
+	if ( stdlib_base_is_nan( k ) || k < 0.0 ) {
 		return 0.0 / 0.0;
 	}
 	return k;