chore: changes from code review

Author: Neerajpathak07

lib/node_modules/@stdlib/stats/base/dists/degenerate/logpdf/README.md

@@ -155,7 +155,7 @@ for ( i = 0; i < 100; i++ ) {
 
 #### stdlib_base_dists_degenerate_logpdf( x, mu )
 
-Evaluates the natural logarithm of the probability density function (logPDF) for a degenerate distribution.
+Evaluates the natural logarithm of the (PDF) of a degenerate distribution centered at `mu`.
 
 ```c
 double out = stdlib_base_dists_degenerate_logpdf( 2.0, 3.0 );

lib/node_modules/@stdlib/stats/base/dists/degenerate/logpdf/benchmark/benchmark.js

@@ -70,6 +70,7 @@ bench( pkg+':factory', function benchmark( b ) {
 
 	mu = 40.0;
 	mylogpdf = logpdf.factory( mu );
+
 	len = 100;
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {

lib/node_modules/@stdlib/stats/base/dists/degenerate/logpdf/benchmark/c/benchmark.c

@@ -106,7 +106,7 @@ static double benchmark( void ) {
 
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		y = stdlib_base_dists_degenerate_logpdf( x[ i%100 ], mu[ i%100 ] );
+		y = stdlib_base_dists_degenerate_logpdf( x[ i % 100 ], mu[ i % 100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

lib/node_modules/@stdlib/stats/base/dists/degenerate/logpdf/include/stdlib/stats/base/dists/degenerate/logpdf.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Evaluates the natural logarithm of the probability density function (logPDF) for a degenerate distribution centered at `mu`.
+* Evaluates the natural logarithm of the (PDF) of a degenerate distribution centered at `mu`.
 */
 double stdlib_base_dists_degenerate_logpdf( const double x, const double mu );
 

lib/node_modules/@stdlib/stats/base/dists/degenerate/logpdf/src/main.c

@@ -22,7 +22,7 @@
 #include "stdlib/constants/float64/pinf.h"
 
 /**
-* Evaluates the natural logarithm of the probability density function (logPDF) for a degenerate distribution centered at `mu`.
+* Evaluates the natural logarithm of the (PDF) of a degenerate distribution centered at `mu`.
 *
 * @param x    input value
 * @param mu   constant value of the distribution