chore: minor clean-up

---
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: na
  - 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: passed
  - task: lint_javascript_benchmarks
    status: na
  - 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: passed
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
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  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
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  - task: lint_license_headers
    status: passed
---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/gumbel/median/benchmark/c/benchmark.c

@@ -102,7 +102,7 @@ static double benchmark( void ) {
 
 	for ( i = 0; i < 100; i++ ) {
 		mu[ i ] = random_uniform( -50.0, 50.0 );
-		beta[ i ] = random_uniform( 0.0, 20.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		beta[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/gumbel/median/manifest.json

@@ -39,9 +39,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/napi/binary",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/special/ln",
-        "@stdlib/constants/float64/ln-two"
+        "@stdlib/math/base/assert/is-nan"
       ]
     },
     {
@@ -57,8 +55,6 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/special/ln",
-        "@stdlib/constants/float64/ln-two",
         "@stdlib/constants/float64/eps"
       ]
     },
@@ -74,9 +70,7 @@
       "libraries": [],
       "libpath": [],
       "dependencies": [
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/special/ln",
-        "@stdlib/constants/float64/ln-two"
+        "@stdlib/math/base/assert/is-nan"
       ]
     }
   ]

lib/node_modules/@stdlib/stats/base/dists/gumbel/median/src/main.c

@@ -18,9 +18,8 @@
 
 #include "stdlib/stats/base/dists/gumbel/median.h"
 #include "stdlib/math/base/assert/is_nan.h"
-#include "stdlib/math/base/special/ln.h"
-#include "stdlib/constants/float64/ln_two.h"
 
+static const double LLN2 = -0.36651292058166432701243915823266946945426813397; // ln( ln( 2.0 ) )
 
 /**
 * Returns the median for a Gumbel distribution with location `mu` and scale `beta`.
@@ -34,8 +33,6 @@
 * // returns ~0.367
 */
 double stdlib_base_dists_gumbel_median( const double mu, const double beta ) {
-	double LLN2 = stdlib_base_ln( STDLIB_CONSTANT_FLOAT64_LN2 );
-	
 	if (
 		stdlib_base_is_nan( mu ) ||
 		stdlib_base_is_nan( beta ) ||

lib/node_modules/@stdlib/stats/base/dists/gumbel/median/test/test.native.js

@@ -68,9 +68,6 @@ tape( 'if provided a nonpositive `beta`, the function returns `NaN`', opts, func
 	y = median( 2.0, -1.0 );
 	t.equal( isnan( y ), true, 'returns NaN' );
 
-	y = median( 2.0, -1.0 );
-	t.equal( isnan( y ), true, 'returns NaN' );
-
 	y = median( 1.0, NINF );
 	t.equal( isnan( y ), true, 'returns NaN' );