chore: minor updates

Author: Neerajpathak07

lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/benchmark/benchmark.js

@@ -50,7 +50,7 @@ bench( pkg, function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = pmf( x[ i%100 ], p[ i%100 ] );
+		y = pmf( x[ i % len ], p[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -82,7 +82,7 @@ bench( pkg+':factory', function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = mypmf( x[ i%100 ] );
+		y = mypmf( x[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/benchmark/benchmark.native.js

@@ -59,7 +59,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = pmf( x[ i%100 ], p[ i%100 ] );
+		y = pmf( x[ i % len ], p[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/include/stdlib/stats/base/dists/bernoulli/pmf.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-Evaluates the probability mass function (PMF) for a Bernoulli distribution with success probability `0 <= p <= 1`.
+* Evaluates the probability mass function (PMF) for a Bernoulli distribution with success probability `0 <= p <= 1`.
 */
 double stdlib_base_dists_bernoulli_pmf( const double x, const double p );
 

lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/lib/main.js

@@ -26,7 +26,7 @@ var isnan = require( '@stdlib/math/base/assert/is-nan' );
 // MAIN //
 
 /**
-* Evaluates the probability mass function (PMF) for a Bernoulli distribution with success probability `0 <= p <= 1`.
+* Evaluates the moment-generating function (MGF) for a Bernoulli distribution with success probability `p` at a value `t`.
 *
 * @param {number} x - input value
 * @param {Probability} p - success probability

lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/lib/native.js

@@ -26,7 +26,7 @@ var addon = require( './../src/addon.node' );
 // MAIN //
 
 /**
-* Evaluates the probability mass function (PMF) for a Bernoulli distribution with success probability `0 <= p <= 1`.
+* Evaluates the moment-generating function (MGF) for a Bernoulli distribution with success probability `p` at a value `t`.
 *
 * @param {number} x - input value
 * @param {Probability} p - success probability

lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/manifest.json

@@ -39,8 +39,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/napi/binary",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/special/round"
+        "@stdlib/math/base/assert/is-nan"
       ]
     },
     {

lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/src/main.c

@@ -62,7 +62,7 @@ double stdlib_base_dists_bernoulli_pmf( const double x, const double p ) {
 		p < 0.0 ||
 		p > 1.0
 	) {
-		return 0.0/0.0; // NaN
+		return 0.0 / 0.0; // NaN
 	}
 	if ( x == 0.0 ) {
 		return 1.0 - p;