bench: adjust input range for uniform path coverage

---
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
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    status: na
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    status: na
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    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: passed
  - task: lint_r
    status: na
  - task: lint_c_src
    status: na
  - task: lint_c_examples
    status: na
  - task: lint_c_benchmarks
    status: passed
  - 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: anandkaranubc

lib/node_modules/@stdlib/math/base/special/gammasgn/benchmark/benchmark.js

@@ -34,7 +34,7 @@ bench( pkg, function benchmark( b ) {
 	var y;
 	var i;
 
-	x = uniform( 100, 0.0, 171.0 );
+	x = uniform( 100, -10.0, 10.0 );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/math/base/special/gammasgn/benchmark/benchmark.native.js

@@ -43,7 +43,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	var y;
 	var i;
 
-	x = uniform( 100, 0.0, 171.0 );
+	x = uniform( 100, -10.0, 10.0 );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/math/base/special/gammasgn/benchmark/c/native/benchmark.c

@@ -97,7 +97,7 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		x[ i ] = ( 171.0 * rand_double() ) - 0.0;
+		x[ i ] = ( 100.0 * rand_double() ) - 50.0;
 	}
 
 	t = tic();

lib/node_modules/@stdlib/math/base/special/gammasgn/benchmark/python/scipy/benchmark.py

@@ -73,7 +73,7 @@ def print_results(elapsed):
 def benchmark():
     """Run the benchmark and print benchmark results."""
     setup = "from scipy.special import gammasgn; from random import random;"
-    stmt = "y = gammasgn(171.0*random() - 0.0)"
+    stmt = "y = gammasgn(100.0*random() - 50.0)"
 
     t = timeit.Timer(stmt, setup=setup)