chore: precompute constant and use uniform

---
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
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    status: na
  - task: lint_package_json
    status: na
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    status: na
  - task: lint_javascript_src
    status: na
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  - task: lint_javascript_tests
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    status: na
  - task: lint_c_src
    status: passed
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    status: na
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
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  - task: lint_typescript_tests
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    status: passed
---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/rayleigh/skewness/benchmark/benchmark.js

@@ -22,7 +22,7 @@
 
 var bench = require( '@stdlib/bench' );
 var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/base/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -40,7 +40,7 @@ bench( pkg, function benchmark( b ) {
 	len = 100;
 	sigma = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		sigma[ i ] = ( randu()*20.0 ) + EPS;
+		sigma[ i ] = uniform( EPS, 20.0 );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/rayleigh/skewness/src/main.c

@@ -18,10 +18,7 @@
 
 #include "stdlib/stats/base/dists/rayleigh/skewness.h"
 #include "stdlib/math/base/assert/is_nan.h"
-#include "stdlib/math/base/special/pow.h"
-#include "stdlib/constants/float64/pi.h"
-
-const double STDLIB_CONSTANT_FLOAT64_SQRT_PI = 1.772453850905516027;
+const double SKEWNESS_CONSTANT = 0.6311106578189364;
 
 /**
 * Returns the skewness of a Rayleigh distribution.
@@ -34,13 +31,11 @@ const double STDLIB_CONSTANT_FLOAT64_SQRT_PI = 1.772453850905516027;
 * // returns ~0.631
 */
 double stdlib_base_dists_rayleigh_skewness( const double sigma ) {
-	double SKEWNESS;
 	if (
 		stdlib_base_is_nan( sigma ) ||
 		sigma < 0.0
 	) {
 		return 0.0/0.0; // NaN
 	}
-	SKEWNESS = 2.0 * STDLIB_CONSTANT_FLOAT64_SQRT_PI * ( STDLIB_CONSTANT_FLOAT64_PI-3.0 ) / stdlib_base_pow( 4.0 - STDLIB_CONSTANT_FLOAT64_PI, 1.5 );
-	return SKEWNESS;
+	return SKEWNESS_CONSTANT;
 }