refactor: add int32_t logic around k parameter

Author: Neerajpathak07

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

@@ -182,11 +182,11 @@ double y = stdlib_base_dists_erlang_entropy( 1.0, 1.0 );
 
 The function accepts the following arguments:
 
--   **k**: `[in] double` shape parameter.
+-   **k**: `[in] int32_t` shape parameter.
 -   **lambda**: `[in] double` rate parameter.
 
 ```c
-double stdlib_base_dists_erlang_entropy( const double k, const double lambda );
+double stdlib_base_dists_erlang_entropy( const int32_t k, const double lambda );
 ```
 
 </section>
@@ -212,6 +212,7 @@ element and another before the `/section` close. -->
 #include "stdlib/stats/base/dists/erlang/entropy.h"
 #include "stdlib/constants/float64/eps.h"
 #include "stdlib/math/base/special/round.h"
+#include <stdint.h>
 #include <stdlib.h>
 #include <stdio.h>
 
@@ -222,15 +223,15 @@ static double random_uniform( const double min, const double max ) {
 
 int main( void ) {
     double lambda;
-    double k;
+    int32_t k;
     double y;
     int i;
 
     for ( i = 0; i < 10; i++ ) {
         k = stdlib_base_round( random_uniform( 0.0, 10.0 ) );
         lambda = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
         y = stdlib_base_dists_erlang_entropy( k, lambda );
-        printf( "k: %lf, λ: %lf, h(X;k,λ): %lf\n", k, lambda, y );
+        printf( "k: %d, λ: %lf, h(X;k,λ): %lf\n", k, lambda, y );
     }
 }
 ```

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

@@ -24,6 +24,7 @@ var bench = require( '@stdlib/bench' );
 var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
 var uniform = require( '@stdlib/random/base/uniform' );
 var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -40,7 +41,7 @@ bench( pkg, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	k = new Float64Array( len );
+	k = new Int32Array( len );
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		k[ i ] = discreteUniform( 0.0, 10.0 );

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

@@ -25,6 +25,7 @@ var bench = require( '@stdlib/bench' );
 var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
 var uniform = require( '@stdlib/random/base/uniform' );
 var Float64Array = require( '@stdlib/array/float64' );
+var Int32Array = require( '@stdlib/array/int32' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var EPS = require( '@stdlib/constants/float64/eps' );
@@ -49,7 +50,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	k = new Float64Array( len );
+	k = new Int32Array( len );
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		k[ i ] = discreteUniform( 0.0, 10.0 );

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

@@ -19,6 +19,7 @@
 #include "stdlib/stats/base/dists/erlang/entropy.h"
 #include "stdlib/constants/float64/eps.h"
 #include "stdlib/math/base/special/ceil.h"
+#include <stdint.h>
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -95,7 +96,7 @@ static double random_uniform( const double min, const double max ) {
 */
 static double benchmark( void ) {
 	double elapsed;
-	double k[ 100 ];
+	int32_t k[ 100 ];
 	double lambda[ 100 ];
 	double y;
 	double t;

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

@@ -19,6 +19,7 @@
 #include "stdlib/stats/base/dists/erlang/entropy.h"
 #include "stdlib/constants/float64/eps.h"
 #include "stdlib/math/base/special/round.h"
+#include <stdint.h>
 #include <stdlib.h>
 #include <stdio.h>
 
@@ -29,14 +30,14 @@ static double random_uniform( const double min, const double max ) {
 
 int main( void ) {
 	double lambda;
-	double k;
+	int32_t k;
 	double y;
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
 		k = stdlib_base_round( random_uniform( 0.0, 10.0 ) );
 		lambda = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 		y = stdlib_base_dists_erlang_entropy( k, lambda );
-		printf( "k: %lf, λ: %lf, h(X;k,λ): %lf\n", k, lambda, y );
+		printf( "k: %d, λ: %lf, h(X;k,λ): %lf\n", k, lambda, y );
 	}
 }

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

@@ -19,6 +19,8 @@
 #ifndef STDLIB_STATS_BASE_DISTS_ERLANG_ENTROPY_H
 #define STDLIB_STATS_BASE_DISTS_ERLANG_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.
 */
@@ -29,7 +31,7 @@ extern "C" {
 /**
 * Returns the differential entropy for a Erlang distribution with shape parameter `k` and rate parameter `lambda`.
 */
-double stdlib_base_dists_erlang_entropy( const double k, const double lambda );
+double stdlib_base_dists_erlang_entropy( const int32_t k, const double lambda );
 
 #ifdef __cplusplus
 }

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

@@ -20,4 +20,4 @@
 #include "stdlib/math/base/napi/binary.h"
 
 // cppcheck-suppress shadowFunction
-STDLIB_MATH_BASE_NAPI_MODULE_DD_D( stdlib_base_dists_erlang_entropy )
+STDLIB_MATH_BASE_NAPI_MODULE_ID_D( stdlib_base_dists_erlang_entropy )

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

@@ -22,7 +22,7 @@
 #include "stdlib/math/base/special/gamma.h"
 #include "stdlib/math/base/special/ln.h"
 #include "stdlib/math/base/assert/is_nan.h"
-
+#include <stdint.h>
 
 /**
 * Returns the differential entropy for a Erlang distribution with shape parameter `k` and rate parameter `lambda`.
@@ -35,7 +35,7 @@
 * double y = stdlib_base_dists_erlang_entropy( 1.0, 1.0 );
 * // returns 1.0
 */
-double stdlib_base_dists_erlang_entropy( const double k, const double lambda ) {
+double stdlib_base_dists_erlang_entropy( const int32_t k, const double lambda ) {
 	if (
 		!stdlib_base_is_positive_integer( k ) ||
 		stdlib_base_is_nan( lambda ) ||