chore: minor clean-up

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: passed
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: na
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
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  - task: lint_javascript_examples
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  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: passed
  - task: lint_c_examples
    status: passed
  - task: lint_c_benchmarks
    status: passed
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
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  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
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  - task: lint_license_headers
    status: passed
---

Author: Planeshifter

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

@@ -178,11 +178,11 @@ double out = stdlib_base_dists_binomial_entropy( 20, 0.1 );
 
 The function accepts the following arguments:
 
--   **n**: `[in] double` number of trials.
+-   **n**: `[in] int32_t` number of trials.
 -   **p**: `[in] double` success probability.
 
 ```c
-double stdlib_base_dists_binomial_entropy( const double n, const double p );
+double stdlib_base_dists_binomial_entropy( const int32_t n, const double p );
 ```
 
 </section>
@@ -207,23 +207,28 @@ double stdlib_base_dists_binomial_entropy( const double n, const double p );
 #include "stdlib/stats/base/dists/binomial/entropy.h"
 #include <stdlib.h>
 #include <stdio.h>
+#include <stdint.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) );
 }
 
+static int32_t random_int( const int32_t min, const int32_t max ) {
+    return min + (int32_t)( random_uniform( 0.0, 1.0 ) * ( max - min + 1 ) );
+}
+
 int main( void ) {
-    double v;
-    double i;
-    double n;
+    int32_t n;
     double p;
+    double v;
+    int i;
 
     for ( i = 0; i < 25; i++ ) {
-        n = random_uniform( -5.0, 5.0 );
-        p = random_uniform( 0.0, 20.0 );
+        n = random_int( 0, 100 );
+        p = random_uniform( 0.0, 1.0 );
         v = stdlib_base_dists_binomial_entropy( n, p );
-        printf( "n: %lf, p: %lf, H(X;n,p): %lf\n", n, p, v );
+        printf( "n: %d, p: %lf, H(X;n,p): %lf\n", n, p, v );
     }
 }
 ```

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

@@ -21,9 +21,8 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 var entropy = require( './../lib' );
@@ -39,12 +38,8 @@ bench( pkg, function benchmark( b ) {
 	var i;
 
 	len = 1000;
-	n = new Float64Array( len );
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		n[ i ] = discreteUniform( 1, 100 );
-		p[ i ] = uniform( 0.0, 1.0 );
-	}
+	n = discreteUniform( len, 1, 100 );
+	p = uniform( len, 0.0, 1.0 );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

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

@@ -22,10 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var ceil = require( '@stdlib/math/base/special/ceil' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var tryRequire = require( '@stdlib/utils/try-require' );
-var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pkg = require( './../package.json' ).name;
 
@@ -48,12 +47,8 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	n = new Float64Array( len );
-	p = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		n[ i ] = ceil( randu() * 100.0 );
-		p[ i ] = randu();
-	}
+	n = discreteUniform( len, 0, 100 );
+	p = uniform( len, 0.0, 1.0 );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

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

@@ -17,9 +17,9 @@
 */
 
 #include "stdlib/stats/base/dists/binomial/entropy.h"
-#include "stdlib/math/base/special/ceil.h"
 #include <stdlib.h>
 #include <stdio.h>
+#include <stdint.h>
 #include <math.h>
 #include <time.h>
 #include <sys/time.h>
@@ -87,6 +87,17 @@ static double random_uniform( const double min, const double max ) {
 	return min + ( v*(max-min) );
 }
 
+/**
+* Generates a random integer on the interval [min,max].
+*
+* @param min    minimum value (inclusive)
+* @param max    maximum value (inclusive)
+* @return       random integer
+*/
+static int32_t random_int( const int32_t min, const int32_t max ) {
+	return min + (int32_t)( random_uniform( 0.0, 1.0 ) * ( max - min + 1 ) );
+}
+
 /**
 * Runs a benchmark.
 *
@@ -95,14 +106,14 @@ static double random_uniform( const double min, const double max ) {
 static double benchmark( void ) {
 	double elapsed;
 	int len = 100;
-	double n[ 100 ];
 	double p[ 100 ];
+	int32_t n[ 100 ];
 	double y;
 	double t;
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		n[ i ] = stdlib_base_ceil( random_uniform( -50.0, 50.0 ) );
+		n[ i ] = random_int( 0, 100 );
 		p[ i ] = random_uniform( 0.0, 1.0);
 	}
 

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

@@ -19,22 +19,27 @@
 #include "stdlib/stats/base/dists/binomial/entropy.h"
 #include <stdlib.h>
 #include <stdio.h>
+#include <stdint.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) );
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v*(max-min) );
+}
+
+static int32_t random_int( const int32_t min, const int32_t max ) {
+	return min + (int32_t)( random_uniform( 0.0, 1.0 ) * ( max - min + 1 ) );
 }
 
 int main( void ) {
-	double v;
-	double i;
-	double n;
+	int32_t n;
 	double p;
+	double v;
+	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		n = random_uniform( -5.0, 5.0 );
-		p = random_uniform( 0.0, 20.0 );
+		n = random_int( 0, 100 );
+		p = random_uniform( 0.0, 1.0 );
 		v = stdlib_base_dists_binomial_entropy( n, p );
-		printf( "n: %lf, p: %lf, H(X;n,p): %lf\n", n, p, v );
+		printf( "n: %d, p: %lf, H(X;n,p): %lf\n", n, p, v );
 	}
 }

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

@@ -19,6 +19,8 @@
 #ifndef STDLIB_STATS_BASE_DISTS_BINOMIAL_ENTROPY_H
 #define STDLIB_STATS_BASE_DISTS_BINOMIAL_ENTROPY_H
 
+#include <stdint.h>
+
 /*
 * If C++, prevent name mangling so that the compiler emits a binary file having undecorated names, thus mirroring the behavior of a C compiler.
 */
@@ -27,9 +29,9 @@ extern "C" {
 #endif
 
 /**
-* Returns the entropy of an binomial distribution.
+* Returns the entropy of a binomial distribution.
 */
-double stdlib_base_dists_binomial_entropy( const double n, const double p );
+double stdlib_base_dists_binomial_entropy( const int32_t n, const double p );
 
 #ifdef __cplusplus
 }

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

@@ -20,6 +20,9 @@
 
 // MODULES //
 
+var isNonNegativeInteger = require( '@stdlib/math/base/assert/is-nonnegative-integer' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
 var addon = require( './../src/addon.node' );
 
 
@@ -48,12 +51,15 @@ var addon = require( './../src/addon.node' );
 * @example
 * var v = entropy( 20, 1.1 );
 * // returns NaN
-*
-* @example
-* var v = entropy( 20, NaN );
-* // returns NaN
 */
 function entropy( n, p ) {
+	if (
+		isnan( n ) ||
+		!isNonNegativeInteger( n ) ||
+		n === PINF
+	) {
+		return NaN;
+	}
 	return addon( n, p );
 }
 

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

@@ -41,9 +41,7 @@
         "@stdlib/math/base/napi/binary",
         "@stdlib/math/base/assert/is-nan",
         "@stdlib/math/base/special/ln",
-        "@stdlib/math/base/special/exp",
-        "@stdlib/math/base/assert/is-nonnegative-integer",
-        "@stdlib/math/base/special/ceil"
+        "@stdlib/math/base/special/exp"
       ]
     },
     {
@@ -60,9 +58,7 @@
       "dependencies": [
         "@stdlib/math/base/assert/is-nan",
         "@stdlib/math/base/special/ln",
-        "@stdlib/math/base/special/exp",
-        "@stdlib/math/base/assert/is-nonnegative-integer",
-        "@stdlib/math/base/special/ceil"
+        "@stdlib/math/base/special/exp"
       ]
     },
     {
@@ -79,9 +75,7 @@
       "dependencies": [
         "@stdlib/math/base/assert/is-nan",
         "@stdlib/math/base/special/ln",
-        "@stdlib/math/base/special/exp",
-        "@stdlib/math/base/assert/is-nonnegative-integer",
-        "@stdlib/math/base/special/ceil"
+        "@stdlib/math/base/special/exp"
       ]
     }
   ]

lib/node_modules/@stdlib/stats/base/dists/binomial/entropy/src/addon.c

@@ -19,5 +19,4 @@
 #include "stdlib/stats/base/dists/binomial/entropy.h"
 #include "stdlib/math/base/napi/binary.h"
 
-// cppcheck-suppress shadowFunction
-STDLIB_MATH_BASE_NAPI_MODULE_DD_D( stdlib_base_dists_binomial_entropy )
+STDLIB_MATH_BASE_NAPI_MODULE_ID_D( stdlib_base_dists_binomial_entropy )

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

@@ -18,17 +18,16 @@
 
 #include "stdlib/stats/base/dists/binomial/entropy.h"
 #include "stdlib/math/base/assert/is_nan.h"
-#include "stdlib/math/base/assert/is_nonnegative_integer.h"
 #include "stdlib/math/base/special/ln.h"
 #include "stdlib/math/base/special/exp.h"
-#include <math.h>
+#include <stdint.h>
 
 /**
 * Returns the entropy of a binomial distribution.
 *
-* @param n - number of trials
-* @param p - success probability
-* @returns entropy
+* @param n    number of trials
+* @param p    success probability
+* @return     entropy
 *
 * @example
 * double v = stdlib_base_dists_binomial_entropy( 100, 0.1 );
@@ -42,30 +41,28 @@
 * double v = stdlib_base_dists_binomial_entropy( 20, NAN );
 * // returns NaN
 */
-double stdlib_base_dists_binomial_entropy( const double n, const double p ) {
+double stdlib_base_dists_binomial_entropy( const int32_t n, const double p ) {
 	double nlq;
 	double out;
-	double i;
 	double q;
+	int32_t i;
 
 	if (
-		stdlib_base_is_nan( n ) ||
 		stdlib_base_is_nan( p ) ||
+		n < 0 ||
 		p < 0.0 ||
-		p > 1.0 ||
-		!stdlib_base_is_nonnegative_integer( n ) ||
-		n == INFINITY
-	 ) {
+		p > 1.0
+	) {
 		return 0.0 / 0.0; // NaN
 	}
-	if ( p == 0 || p == 1 || n == 0 ) {
+	if ( p == 0.0 || p == 1.0 || n == 0 ) {
 		return 0.0;
 	}
 	q = 1.0 - p;
 	nlq = n * stdlib_base_ln( q );
 	out = stdlib_base_exp( nlq ) * nlq;
 	for ( i = 1; i <= n; i++ ) {
-		nlq += stdlib_base_ln( ( n - i + 1 ) / i ) + stdlib_base_ln( p / q );
+		nlq += stdlib_base_ln( (double)( n - i + 1 ) / (double)i ) + stdlib_base_ln( p / q );
 		out += stdlib_base_exp( nlq ) * nlq;
 	}
 	return -out;