refactor: apply suggestions from previous PRs

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Author: anandkaranubc

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

@@ -144,7 +144,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_chi_entropy( k )
 
-Returns the differential entropy of a chi distribution.
+Returns the [differential entropy][entropy] of a [chi][chi-distribution] distribution with degrees of freedom `k` (in [nats][nats]).
 
 ```c
 double out = stdlib_base_dists_chi_entropy( 9.0 );

lib/node_modules/@stdlib/stats/base/dists/chi/entropy/benchmark/benchmark.js

@@ -21,7 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -37,7 +37,7 @@ bench( pkg, function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		k = ( randu()*20.0 ) + EPS;
+		k = uniform( EPS, 20.0 );
 		y = entropy( k );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );

lib/node_modules/@stdlib/stats/base/dists/chi/entropy/benchmark/benchmark.native.js

@@ -23,7 +23,8 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var EPS = require( '@stdlib/constants/float64/eps' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -48,7 +49,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	len = 100;
 	k = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		k[ i ] = ( randu() * 10.0 ) + 0.1; // Ensure k > 0
+		k[ i ] = uniform( EPS, 20.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/chi/entropy/benchmark/c/benchmark.c

@@ -17,6 +17,7 @@
 */
 
 #include <sys/time.h>
+#include "stdlib/constants/float64/eps.h"
 #include "stdlib/stats/base/dists/chi/entropy.h"
 #include <math.h>
 #include <stdio.h>
@@ -68,7 +69,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		k[ i ] = random_uniform( 0.1, 10.0 );
+		k[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 	}
 
 	start = tic();
@@ -91,7 +92,7 @@ int main( void ) {
 	double elapsed;
 	int i;
 
-	// Seed the random number generator:
+ // Seed the random number generator:
 	srand( time( NULL ) );
 
 	print_version();

lib/node_modules/@stdlib/stats/base/dists/chi/entropy/manifest.json

@@ -60,7 +60,8 @@
         "@stdlib/math/base/assert/is-nan",
         "@stdlib/math/base/special/digamma",
         "@stdlib/math/base/special/gammaln",
-        "@stdlib/constants/float64/ln-two"
+        "@stdlib/constants/float64/ln-two",
+        "@stdlib/constants/float64/eps"
       ]
     },
     {

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

@@ -20,12 +20,13 @@
 #include "stdlib/math/base/assert/is_nan.h"
 #include "stdlib/math/base/special/digamma.h"
 #include "stdlib/math/base/special/gammaln.h"
+#include "stdlib/stats/base/dists/chi/entropy.h"
 
 /**
 * Returns the differential entropy of a chi distribution.
 *
 * @param k    degrees of freedom (must be positive)
-* @return     entropy, or NaN if input is invalid
+* @return     entropy
 *
 * @example
 * double v = stdlib_base_dists_chi_entropy( 9.0 );