feat:C implementation of stats/base/dists/weibull/skewness

---
type: pre_push_report
description: Results of running various checks prior to pushing changes.
report:
  - task: run_javascript_examples
    status: na
  - task: run_c_examples
    status: na
  - task: run_cpp_examples
    status: na
  - task: run_javascript_readme_examples
    status: na
  - task: run_c_benchmarks
    status: na
  - task: run_cpp_benchmarks
    status: na
  - task: run_fortran_benchmarks
    status: na
  - task: run_javascript_benchmarks
    status: na
  - task: run_julia_benchmarks
    status: na
  - task: run_python_benchmarks
    status: na
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  - task: run_javascript_tests
    status: na
---

Author: yuvi-mittal

lib/node_modules/@stdlib/stats/base/dists/weibull/skewness/benchmark/c/benchmark.c

@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2024 The Stdlib Authors.
+* Copyright (c) 2025 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -17,7 +17,6 @@
 */
 
 #include "stdlib/stats/base/dists/weibull/skewness.h"
-#include "stdlib/math/base/special/ceil.h"
 #include <stdlib.h>
 #include <stdio.h>
 #include <math.h>
@@ -94,29 +93,31 @@ static double random_uniform( const double min, const double max ) {
 */
 static double benchmark( void ) {
     double elapsed;
-    double x[ 100 ];
-    double n[ 100 ];
-    double skewness;
+    double k[ 100 ];
+    double lambda[ 100 ];
     double y;
     double t;
     int i;
 
-    // Generate random values for x, n, and skewness
+    // Generate random values for k (shape) and lambda (scale)
     for ( i = 0; i < 100; i++ ) {
-        x[ i ] = random_uniform( 0, 30.0 );
-        n[ i ] = stdlib_base_ceil(random_uniform( 1, 30.0 ));
-        skewness = random_uniform( -1.0, 1.0 );
+        k[ i ] = random_uniform( 0.1, 10.0 );    // k > 0 to avoid NaN result
+        lambda[ i ] = random_uniform( 0.1, 10.0 ); // lambda > 0 to avoid NaN result
     }
 
     t = tic();
+    // Benchmark loop
     for ( i = 0; i < ITERATIONS; i++ ) {
-        y = stdlib_base_dists_weibull_skewness( x[ i%100 ], n[ i%100 ], skewness );
-        if ( y != y ) { // Check if the result is NaN
+        // Calculate skewness for the Weibull distribution
+        y = stdlib_base_dists_weibull_skewness( k[ i % 100 ], lambda[ i % 100 ] );
+        if ( y != y ) {  // Check for NaN
             printf( "should not return NaN\n" );
             break;
         }
     }
     elapsed = tic() - t;
+
+    // Final NaN check
     if ( y != y ) {
         printf( "should not return NaN\n" );
     }

lib/node_modules/@stdlib/stats/base/dists/weibull/skewness/lib/native.js

@@ -61,7 +61,7 @@ var addon = require( './../src/addon.node' );
 * // returns NaN (invalid parameter n)
 */
 function skewness( k, lambda ) {
-		return addon( k, lambda );
+	return addon( k, lambda );
 }