fix: code review

---
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: passed
  - task: lint_package_json
    status: passed
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: passed
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: passed
  - task: lint_r
    status: na
  - task: lint_c_src
    status: passed
  - task: lint_c_examples
    status: passed
  - 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: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: anandkaranubc

lib/node_modules/@stdlib/math/base/special/gammasgnf/README.md

@@ -20,23 +20,18 @@ limitations under the License.
 
 # gammasgnf
 
-> Sign of the [gamma function][@stdlib/math/base/special/gamma] for a single precision-floating point number.
+> Sign of the [gamma function][@stdlib/math/base/special/gamma] for a single-precision floating-point number.
 
 <section class="intro">
 
 The sign of the [gamma-function][@stdlib/math/base/special/gamma] is defined as
 
-<!-- <equation class="equation" label="eq:gamma_sign_function" align="center" raw="\operatorname{gammasgnf} ( x ) = \begin{cases} 1 & \textrm{if}\ \Gamma > 1 \\ -1 & \textrm{if}\ \Gamma < 1 \\ 0 & \textrm{otherwise}\ \end{cases}" alt="Sign of the gamma function"> -->
+<!-- <equation class="equation" label="eq:gamma_sign_function" align="center" raw="\operatorname{gammasgn} ( x ) = \begin{cases} 1 & \textrm{if}\ \Gamma > 0 \\ -1 & \textrm{if}\ \Gamma < 0 \\ 0 & \textrm{otherwise}\ \end{cases}" alt="Sign of the gamma function"> -->
 
 ```math
-\mathop{\mathrm{gammasgnf}} ( x ) = \begin{cases} 1 & \textrm{if}\ \Gamma > 1 \\ -1 & \textrm{if}\ \Gamma < 1 \\ 0 & \textrm{otherwise}\ \end{cases}
+\mathop{\mathrm{gammasgn}} ( x ) = \begin{cases} 1 & \textrm{if}\ \Gamma > 0 \\ -1 & \textrm{if}\ \Gamma < 0 \\ 0 & \textrm{otherwise}\ \end{cases}
 ```
 
-<!-- <div class="equation" align="center" data-raw-text="\operatorname{gammasgnf} ( x ) = \begin{cases} 1 &amp; \textrm{if}\ \Gamma &gt; 1 \\ -1 &amp; \textrm{if}\ \Gamma &lt; 1 \\ 0 &amp; \textrm{otherwise}\ \end{cases}" data-equation="eq:gamma_sign_function">
-    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@50b141156b147529227e2eb4247eda81c781dec9/lib/node_modules/@stdlib/math/base/special/gammasgnf/docs/img/equation_gamma_sign_function.svg" alt="Sign of the gamma function">
-    <br>
-</div> -->
-
 <!-- </equation> -->
 
 The [gamma function][@stdlib/math/base/special/gamma] can be computed as the product of `gammasgn(x)` and `exp(gammaln(x))`.
@@ -55,7 +50,7 @@ var gammasgnf = require( '@stdlib/math/base/special/gammasgnf' );
 
 #### gammasgnf( x )
 
-Returns the sign of the [gamma function][@stdlib/math/base/special/gamma] for a single precision-floating point number.
+Computes the sign of the [gamma function][@stdlib/math/base/special/gamma] for a single-precision floating-point number.
 
 ```javascript
 var v = gammasgnf( 1.0 );
@@ -92,17 +87,15 @@ v = gammasgnf( NaN );
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var linspace = require( '@stdlib/array/base/linspace' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var gammasgnf = require( '@stdlib/math/base/special/gammasgnf' );
 
-var x = linspace( -10.0, 10.0, 100, {
+var x = uniform( 100, -10.0, 10.0, {
     'dtype': 'float32'
 });
 
-var i;
-for ( i = 0; i < x.length; i++ ) {
-    console.log( 'x: %d, f(x): %f', x[ i ], gammasgnf( x[ i ] ) );
-}
+logEachMap( 'x: %0.4f, f(x): %0.4f', x, gammasgnf );
 ```
 
 </section>
@@ -137,13 +130,13 @@ for ( i = 0; i < x.length; i++ ) {
 
 #### stdlib_base_gammasgnf( x )
 
-Returns the sign of the [gamma-function][@stdlib/math/base/special/gamma] for a single precision-floating point number.
+Computes the sign of the [gamma function][@stdlib/math/base/special/gamma] for a single-precision floating-point number.
 
 ```c
-float out = stdlib_base_gammasgnf( 1.0 );
+float out = stdlib_base_gammasgnf( 1.0f );
 // returns 1.0f
 
-out = stdlib_base_gammasgnf( -2.5 );
+out = stdlib_base_gammasgnf( -2.5f );
 // returns -1.0f
 ```
 
@@ -186,7 +179,7 @@ int main( void ) {
     for ( i = 0; i < 100; i++ ) {
         x = ( (float)rand() / (float)RAND_MAX ) * 100.0f;
         v = stdlib_base_gammasgnf( x );
-        printf( "gammasgnf%f = %f\n", x, v );
+        printf( "gammasgnf(%f) = %f\n", x, v );
     }
 }
 ```

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

@@ -30,19 +30,17 @@ var gammasgnf = require( './../lib' );
 // MAIN //
 
 bench( pkg, function benchmark( b ) {
-	var len;
 	var x;
 	var y;
 	var i;
 
-	len = 100;
-	x = uniform( len, 0, 171, {
+	x = uniform( 100, -10.0, 10.0, {
 		'dtype': 'float32'
 	});
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = gammasgnf( x[ i % len ] );
+		y = gammasgnf( x[ i%x.length ] );
 		if ( isnanf( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -39,19 +39,17 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
-	var len;
 	var x;
 	var y;
 	var i;
 
-	len = 100;
-	x = uniform( len, 0, 171, {
+	x = uniform( 100, -10.0, 10.0, {
 		'dtype': 'float32'
 	});
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = gammasgnf( x[ i % len ] );
+		y = gammasgnf( x[ i%x.length ] );
 		if ( isnanf( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -97,12 +97,12 @@ static double benchmark( void ) {
 	int i;
 
 	for ( i = 0; i < 100; i++ ) {
-		x[ i ] = ( 171.0f * rand_float() ) - 0.0f;
+		x[ i ] = ( 100.0f * rand_float() ) - 50.0f;
 	}
 
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
-		y = stdlib_base_gammasgnf( x[ i % 100 ] );
+		y = stdlib_base_gammasgnf( x[ i%100 ] );
 		if ( y != y ) {
 			printf( "should not return NaN\n" );
 			break;

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

@@ -21,7 +21,7 @@
 from __future__ import print_function
 import timeit
 
-NAME = "gammasgn"
+NAME = "gammasgnf"
 REPEATS = 3
 ITERATIONS = 1000000
 
@@ -72,8 +72,8 @@ 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)"
+    setup = "from scipy.special import gammasgn; from random import random; import numpy as np;"
+    stmt = "y = gammasgn(np.float32(100.0*random()))"
 
     t = timeit.Timer(stmt, setup=setup)