chore: clean up

Author: Neerajpathak07

lib/node_modules/@stdlib/stats/base/dists/degenerate/entropy/README.md

@@ -139,21 +139,12 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_degenerate_entropy( mu )
 
-Evaluates the differential entropy for a degenerate distribution with constant value of distribution `mu`.
+Returns the differential entropy for a degenerate distribution with constant value `mu`.
 
 
 ```c
 double y = stdlib_base_dists_degenerate_entropy( 0.1 );
 // returns ~0.0
-
-y = stdlib_base_dists_degenerate_entropy( 0.5 );
-// returns ~0.0
-
-y = stdlib_base_dists_degenerate_entropy( 10.0 );
-// returns ~0.0
-
-y = stdlib_base_dists_degenerate_entropy( NaN );
-// returns NaN
 ```
 
 The function accepts the following arguments:
@@ -187,13 +178,18 @@ double stdlib_base_dists_degenerate_entropy( const double mu );
 #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 mu;
     double y;
     int i;
 
     for ( i = 0; i < 10; i++ ) {
-        mu = ( (double)rand() / (double)RAND_MAX );
+        mu = random_uniform( 0.0, 1.0 );
         y = stdlib_base_dists_degenerate_entropy( mu );
         printf( "µ: %1f, H(X;µ): %lf\n", mu , y );
     }

lib/node_modules/@stdlib/stats/base/dists/degenerate/entropy/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 pkg = require( './../package.json' ).name;
 var entropy = require( './../lib' );
@@ -30,14 +31,20 @@ var entropy = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
+	var len;
 	var mu;
 	var y;
 	var i;
 
+	len = 100;
+	mu = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		mu[ i ] = uniform( -50.0, 50.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		mu = ( randu()*100.0 ) - 50.0;
-		y = entropy( mu );
+		y = entropy( mu[ i%100 ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/degenerate/entropy/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 pkg = require( './../package.json' ).name;
@@ -39,14 +40,20 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
+	var len;
 	var mu;
 	var y;
 	var i;
 
+	len = 100;
+	mu = new Float64Array( len );
+	for ( i = 0; i < len; i++ ) {
+		mu[ i ] = uniform( -50.0, 50.0 );
+	}
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		mu = ( randu()*100.0 ) - 50.0;
-		y = entropy( mu );
+		y = entropy( mu[ i%100 ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/degenerate/entropy/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) );
 }
 
 /**
@@ -91,15 +93,18 @@ static double rand_double( void ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-	double mu;
+	double mu[ 100 ];
 	double y;
 	double t;
 	int i;
 
+	for ( i = 0; i < 100; i++ ) {
+		mu[ i ] = random_uniform( -50.0, -40.0 );
+	}
+
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-        mu = ( ( (double)rand() / (double)RAND_MAX )*10.0 ) - 50.0;
-		y = stdlib_base_dists_degenerate_entropy( mu );
+		y = stdlib_base_dists_degenerate_entropy( mu[ i%100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

lib/node_modules/@stdlib/stats/base/dists/degenerate/entropy/examples/c/example.c

@@ -20,13 +20,18 @@
 #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 mu;
 	double y;
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
-        mu = ( (double)rand() / (double)RAND_MAX );
+		mu = random_uniform( 0.0, 1.0 );
 		y = stdlib_base_dists_degenerate_entropy( mu );
 		printf( "µ: %1f, H(X;µ): %lf\n", mu , y );
 	}

lib/node_modules/@stdlib/stats/base/dists/degenerate/entropy/include/stdlib/stats/base/dists/degenerate/entropy.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-Evaluates the differential entropy for a degenerate distribution with constant value of distribution `mu`.
+Returns the differential entropy for a degenerate distribution with constant value `mu`.
 */
 double stdlib_base_dists_degenerate_entropy( const double mu );
 

lib/node_modules/@stdlib/stats/base/dists/degenerate/entropy/src/main.c

@@ -20,10 +20,10 @@
 #include "stdlib/math/base/assert/is_nan.h"
 
 /**
-* Evaluates the entropy for a degenerate distribution with constant value of distribution `mu`.
+* Returns the differential entropy for a degenerate distribution with constant value `mu`.
 *
-* @param mu       constant value of distribution
-* @returns        Entropy
+* @param mu    constant value of distribution
+* @returns     Entropy
 *
 * @example
 * double y = stdlib_base_dists_degenerate_entropy( 0.1 );