chore: updates and refractor some file

---
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: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - 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: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: saurabhraghuvanshii

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

@@ -171,7 +171,7 @@ for ( i = 0; i < 10; i++ ) {
 
 #### stdlib_base_dists_poisson_logpmf( x, lambda )
 
-Evaluates the natural logarithm of the probability mass function (PMF) for a Poisson distribution with mean parameter `lambda` at a value `x`.
+Evaluates the natural logarithm of the probability mass function (PMF) for a Poisson distribution with mean parameter `lambda`.
 
 ```c
 double out = stdlib_base_dists_poisson_logpmf( 4.0, 3.0 );

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

@@ -69,7 +69,7 @@ bench( pkg+':factory', function benchmark( b ) {
 	var y;
 	var i;
 
-	lambda = 10.0;
+	lambda = 100;
 	mypmf = logpmf.factory( lambda );
 	x = new Float64Array( len );
 
@@ -79,7 +79,7 @@ bench( pkg+':factory', function benchmark( b ) {
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = mypmf( x );
+		y = mypmf( x[ i % len ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/include/stdlib/stats/base/dists/poisson/logpmf.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Returns the logpmf of a Poisson distribution.
+* Evaluates the quantile function for a Poisson distribution with mean parameter `lambda`.
 */
 double stdlib_base_dists_poisson_logpmf( const double x, const double lambda );
 

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

@@ -43,7 +43,9 @@
           "@stdlib/math/base/special/factorialln",
           "@stdlib/math/base/special/ceil",
           "@stdlib/math/base/special/ln",
-          "@stdlib/math/base/assert/is-nan"
+          "@stdlib/math/base/assert/is-nan",
+          "@stdlib/constants/float64/pinf",
+          "@stdlib/constants/float64/ninf"
         ]
       },
       {
@@ -61,7 +63,9 @@
           "@stdlib/math/base/assert/is-nan",
           "@stdlib/math/base/assert/is-nonnegative-integer",
           "@stdlib/math/base/special/factorialln",
-          "@stdlib/math/base/special/ceil"
+          "@stdlib/math/base/special/ceil",
+          "@stdlib/constants/float64/pinf",
+          "@stdlib/constants/float64/ninf"
         ]
       },
       {
@@ -79,7 +83,9 @@
           "@stdlib/math/base/assert/is-nan",
           "@stdlib/math/base/assert/is-nonnegative-integer",
           "@stdlib/math/base/special/factorialln",
-          "@stdlib/math/base/special/ceil"
+          "@stdlib/math/base/special/ceil",
+          "@stdlib/constants/float64/pinf",
+          "@stdlib/constants/float64/ninf"
         ]
       }
     ]

lib/node_modules/@stdlib/stats/base/dists/poisson/logpmf/src/main.c

@@ -26,7 +26,7 @@
 
 
 /**
-* Evaluates the quantile function for a Poisson distribution with mean parameter `lambda` at a probability `p`.
+* Evaluates the quantile function for a Poisson distribution with mean parameter `lambda`.
 *
 * @param x		 input value
 * @param lambda	mean parameter