fixup! fixup! bench: refactor random number generation in JS benchmarks for stats/base/dists/levy

---
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: na
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - 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
---

---
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: passed
  - task: run_julia_benchmarks
    status: na
  - task: run_python_benchmarks
    status: na
  - task: run_r_benchmarks
    status: na
  - task: run_javascript_tests
    status: na
---

Author: yaswanthkosuru

lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/benchmark/benchmark.js

@@ -44,14 +44,14 @@ bench( pkg, function benchmark( b ) {
 	scale = new Float64Array( len );
 	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( EPS, 100.0 );
 		mu[ i ] = uniform( -50.0, 100.0 );
+		x[ i ] = uniform( mu[i], 100.0 );
 		scale[ i ] = uniform( EPS, 20.0 );
 	}
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = logcdf( x, mu, scale );
+		y = logcdf( x[ i % len ], mu[i%len], scale[i%len] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
@@ -74,10 +74,10 @@ bench( pkg+':factory', function benchmark( b ) {
 	var i;
 
 	mu = 0.0;
-	scale = 1.5;
 	len = 100;
-	x = new Float64Array( len );
+	scale = 1.5;
 	mylogcdf = logcdf.factory( mu, scale );
+	x = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = uniform( 0.0, 4.0 );
 	}