fix: update the C implementation with correct parameter types

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Author: anandkaranubc

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/README.md

@@ -195,12 +195,12 @@ double out = stdlib_base_dists_hypergeometric_logpmf( 1.0, 8, 4, 2 );
 The function accepts the following arguments:
 
 -   **x**: `[in] double` input value.
--   **N**: `[in] double` population size.
--   **K**: `[in] double` subpopulation size.
--   **n**: `[in] double` number of draws.
+-   **N**: `[in] int32_t` population size.
+-   **K**: `[in] int32_t` subpopulation size.
+-   **n**: `[in] int32_t` number of draws.
 
 ```c
-double stdlib_base_dists_hypergeometric_logpmf ( const double x, const double N, const double K, const double n );
+double stdlib_base_dists_hypergeometric_logpmf ( const double x, const int32_t N, const int32_t K, const int32_t n );
 ```
 
 </section>
@@ -222,31 +222,32 @@ double stdlib_base_dists_hypergeometric_logpmf ( const double x, const double N,
 ### Examples
 
 ```c
-#include "stdlib/math/base/special/round.h"
 #include "stdlib/stats/base/dists/hypergeometric/logpmf.h"
-#include <stdio.h>
+#include "stdlib/math/base/special/round.h"
 #include <stdlib.h>
+#include <stdint.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 log_pmf;
-    double N;
-    double K;
-    double n;
+    int32_t N;
+    int32_t K;
+    int32_t n;
+    double y;
     double x;
     int i;
 
     for ( i = 0; i < 10; i++ ) {
+        x = stdlib_base_round( random_uniform( 0.0, 5.0 ) );
         N = stdlib_base_round( random_uniform( 0.0, 20.0 ) );
         K = stdlib_base_round( random_uniform( 0.0, N ) );
         n = stdlib_base_round( random_uniform( 0.0, N ) );
-        x = stdlib_base_round( random_uniform( 0.0, 5.0 ) );
-        log_pmf = stdlib_base_dists_hypergeometric_logpmf( x, N, K, n );
-        printf( "x: %lf, N: %lf, K: %lf, n: %lf, ln(P(X=x;N,K,n)): %lf\n", x, N, K, n, log_pmf );
+        y = stdlib_base_dists_hypergeometric_logpmf( x, N, K, n );
+        printf( "x: %lf, N: %d, K: %d, n: %d, ln(P(X=x;N,K,n)): %lf\n", x, N, K, n, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/benchmark/benchmark.js

@@ -53,7 +53,7 @@ bench( pkg, function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = logpmf( x[ i % len ], N[ i % len ], K[ i % len ], n[ i % len ] );
+		y = logpmf( x[ i%len ], N[ i%len ], K[ i%len ], n[ i%len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/benchmark/benchmark.native.js

@@ -23,10 +23,9 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var discreteUniform = require( '@stdlib/random/base/discrete-uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
-var round = require( '@stdlib/math/base/special/round' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -55,15 +54,15 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	n = new Float64Array( len );
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		N[ i ] = round( ( randu() * 90.0 ) + 10.0 );
-		K[ i ] = round( randu() * N[ i ] );
-		n[ i ] = round( randu() * N[ i ] );
-		x[ i ] = round( randu() * n[ i ] );
+		x[ i ] = discreteUniform( 1, 10 );
+		N[ i ] = discreteUniform( 1, 100 );
+		K[ i ] = discreteUniform( 1, N[ i ] );
+		n[ i ] = discreteUniform( 1, N[ i ] );
 	}
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = logpmf( x[ i % len ], N[ i % len ], K[ i % len ], n[ i % len ] );
+		y = logpmf( x[ i%len ], N[ i%len ], K[ i%len ], n[ i%len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/benchmark/c/benchmark.c

@@ -16,11 +16,11 @@
 * limitations under the License.
 */
 
-#include "stdlib/math/base/special/round.h"
 #include "stdlib/stats/base/dists/hypergeometric/logpmf.h"
-#include <math.h>
-#include <stdio.h>
+#include "stdlib/math/base/special/round.h"
 #include <stdlib.h>
+#include <stdio.h>
+#include <stdint.h>
 #include <time.h>
 #include <sys/time.h>
 
@@ -62,32 +62,32 @@ static double random_uniform( const double min, const double max ) {
 }
 
 static double benchmark( void ) {
-	double elapsed;
-	double N[ 100 ];
-	double K[ 100 ];
-	double n[ 100 ];
+	int32_t N[ 100 ];
+	int32_t K[ 100 ];
+	int32_t n[ 100 ];
 	double x[ 100 ];
-	double log_pmf;
+	double elapsed;
+	double y;
 	double t;
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		N[ i ] = stdlib_base_round( random_uniform( 5.0, 100.0 ) );
-		K[ i ] = stdlib_base_round( random_uniform( 0.0, N[ i ] ) );
-		n[ i ] = stdlib_base_round( random_uniform( 0.0, N[ i ] ) );
-		x[ i ] = stdlib_base_round( random_uniform( 0.0, n[ i ] ) );
+		N[ i ] = stdlib_base_round( random_uniform( 1.0, 100.0 ) );
+		K[ i ] = stdlib_base_round( random_uniform( 1.0, N[ i ] ) );
+		n[ i ] = stdlib_base_round( random_uniform( 1.0, N[ i ] ) );
+		x[ i ] = stdlib_base_round( random_uniform( 1.0, 10.0 ) );
 	}
 
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		log_pmf = stdlib_base_dists_hypergeometric_logpmf( x[ i % 100 ], N[ i % 100 ], K[ i % 100 ], n[ i % 100 ] );
-		if ( log_pmf != log_pmf ) {
+		y = stdlib_base_dists_hypergeometric_logpmf( x[ i%100 ], N[ i%100 ], K[ i%100 ], n[ i%100 ] );
+		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;
 		}
 	}
 	elapsed = tic() - t;
-	if ( log_pmf != log_pmf ) {
+	if ( y != y ) {
 		printf( "should not return NaN\n" );
 	}
 	return elapsed;
@@ -97,6 +97,7 @@ int main( void ) {
 	double elapsed;
 	int i;
 
+	// Use the current time to seed the random number generator:
 	srand( time( NULL ) );
 
 	print_version();

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/examples/c/example.c

@@ -16,30 +16,31 @@
 * limitations under the License.
 */
 
-#include "stdlib/math/base/special/round.h"
 #include "stdlib/stats/base/dists/hypergeometric/logpmf.h"
-#include <stdio.h>
+#include "stdlib/math/base/special/round.h"
 #include <stdlib.h>
+#include <stdint.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 log_pmf;
-	double N;
-	double K;
-	double n;
+	int32_t N;
+	int32_t K;
+	int32_t n;
+	double y;
 	double x;
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
+		x = stdlib_base_round( random_uniform( 0.0, 5.0 ) );
 		N = stdlib_base_round( random_uniform( 0.0, 20.0 ) );
 		K = stdlib_base_round( random_uniform( 0.0, N ) );
 		n = stdlib_base_round( random_uniform( 0.0, N ) );
-		x = stdlib_base_round( random_uniform( 0.0, 5.0 ) );
-		log_pmf = stdlib_base_dists_hypergeometric_logpmf( x, N, K, n );
-		printf( "x: %lf, N: %lf, K: %lf, n: %lf, ln(P(X=x;N,K,n)): %lf\n", x, N, K, n, log_pmf );
+		y = stdlib_base_dists_hypergeometric_logpmf( x, N, K, n );
+		printf( "x: %lf, N: %d, K: %d, n: %d, ln(P(X=x;N,K,n)): %lf\n", x, N, K, n, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/lib/native.js

@@ -28,6 +28,7 @@ var addon = require( './../src/addon.node' );
 /**
 * Evaluates the natural logarithm of the probability mass function (PMF) for a hypergeometric distribution with population size `N`, subpopulation size `K` and number of draws `n`.
 *
+* @private
 * @param {number} x - input value
 * @param {NonNegativeInteger} N - population size
 * @param {NonNegativeInteger} K - subpopulation size
@@ -51,31 +52,15 @@ var addon = require( './../src/addon.node' );
 * // returns -Infinity
 *
 * @example
-* var y = logpmf( NaN, 10, 5, 2 );
+* var y = logpmf( 2.0, -10, 5, 2 );
 * // returns NaN
 *
 * @example
-* var y = logpmf( 0.0, NaN, 5, 2 );
+* var y = logpmf( 2.0, 10, -5, 2 );
 * // returns NaN
 *
 * @example
-* var y = logpmf( 0.0, 10, NaN, 2 );
-* // returns NaN
-*
-* @example
-* var y = logpmf( 0.0, 10, 5, NaN );
-* // returns NaN
-*
-* @example
-* var y = logpmf( 2.0, 10.5, 5, 2 );
-* // returns NaN
-*
-* @example
-* var y = logpmf( 2.0, 5, 1.5, 2 );
-* // returns NaN
-*
-* @example
-* var y = logpmf( 2.0, 10, 5, -2.0 );
+* var y = logpmf( 2.0, 10, 5, -2 );
 * // returns NaN
 *
 * @example

lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/manifest.json

@@ -40,8 +40,6 @@
       "dependencies": [
         "@stdlib/math/base/napi/quaternary",
         "@stdlib/math/base/assert/is-nonnegative-integer",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/constants/float64/pinf",
         "@stdlib/constants/float64/ninf",
         "@stdlib/math/base/special/factorialln",
         "@stdlib/math/base/special/max",
@@ -61,8 +59,6 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/assert/is-nonnegative-integer",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/constants/float64/pinf",
         "@stdlib/constants/float64/ninf",
         "@stdlib/math/base/special/factorialln",
         "@stdlib/math/base/special/max",
@@ -83,8 +79,6 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/assert/is-nonnegative-integer",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/constants/float64/pinf",
         "@stdlib/constants/float64/ninf",
         "@stdlib/math/base/special/factorialln",
         "@stdlib/math/base/special/max",