chore: clean-up

Ref: 3491002

---
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: passed
  - 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
    status: na
  - task: lint_typescript_declarations
    status: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

Author: kgryte

lib/node_modules/@stdlib/stats/base/dists/bradford/mode/benchmark/c/benchmark.c

@@ -99,12 +99,9 @@ static double benchmark( void ) {
 	double y;
 	int i;
 
-	// Generate test data:
 	for ( i = 0; i < 100; i++ ) {
 		c[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 	}
-
-	// Run the benchmark:
 	t = tic();
 	for ( i = 0; i < ITERATIONS; i++ ) {
 		y = stdlib_base_dists_bradford_mode( c[ i % 100 ] );
@@ -125,21 +122,17 @@ static double benchmark( void ) {
 */
 int main( void ) {
 	double elapsed;
-	int count;
 	int i;
 
 	// Use the current time to seed the pseudorandom number generator:
 	srand( time( NULL ) );
 
 	print_version();
-	count = 0;
 	for ( i = 0; i < REPEATS; i++ ) {
-		count += 1;
 		printf( "# c::%s\n", NAME );
 		elapsed = benchmark();
-		printf( "ok %d benchmark finished\n", count );
 		print_results( elapsed );
-		printf( "\n" );
+		printf( "ok %d benchmark finished\n", i+1 );
 	}
-	print_summary( count, count );
+	print_summary( REPEATS, REPEATS );
 }

lib/node_modules/@stdlib/stats/base/dists/bradford/mode/lib/main.js

@@ -56,10 +56,7 @@ var isnan = require( '@stdlib/math/base/assert/is-nan' );
 * // returns NaN
 */
 function mode( c ) {
-	if (
-		isnan( c ) ||
-		c <= 0.0
-	) {
+	if ( isnan( c ) || c <= 0.0 ) {
 		return NaN;
 	}
 	return 0.0;

lib/node_modules/@stdlib/stats/base/dists/bradford/mode/lib/native.js

@@ -56,7 +56,9 @@ var addon = require( './../src/addon.node' );
 * var v = mode( NaN );
 * // returns NaN
 */
-var mode = addon;
+function mode( c ) {
+	return addon( c );
+}
 
 
 // EXPORTS //

lib/node_modules/@stdlib/stats/base/dists/bradford/mode/src/main.c

@@ -30,10 +30,7 @@
 * // returns 0.0
 */
 double stdlib_base_dists_bradford_mode( const double c ) {
-	if (
-		stdlib_base_is_nan( c ) ||
-		c <= 0.0
-	) {
+	if ( stdlib_base_is_nan( c ) || c <= 0.0 ) {
 		return 0.0/0.0; // NaN
 	}
 	return 0.0;

lib/node_modules/@stdlib/stats/base/dists/bradford/mode/test/test.native.js

@@ -23,7 +23,7 @@
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var PINF = require( '@stdlib/constants/float64/pinf' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 
@@ -46,45 +46,35 @@ tape( 'main export is a function', opts, function test( t ) {
 
 tape( 'if provided `NaN` for `c`, the function returns `NaN`', opts, function test( t ) {
 	var v = mode( NaN );
-	t.equal( isnan( v ), true, 'returns NaN' );
+	t.equal( isnan( v ), true, 'returns expected value' );
 	t.end();
 });
 
-tape( 'if provided a nonpositive `c`, the function returns `NaN`', opts, function test( t ) {
+tape( 'if provided `c <= 0`, the function returns `NaN`', opts, function test( t ) {
 	var v;
 
 	v = mode( 0.0 );
-	t.equal( isnan( v ), true, 'returns NaN' );
+	t.equal( isnan( v ), true, 'returns expected value' );
 
 	v = mode( -1.0 );
-	t.equal( isnan( v ), true, 'returns NaN' );
+	t.equal( isnan( v ), true, 'returns expected value' );
 
 	v = mode( NINF );
-	t.equal( isnan( v ), true, 'returns NaN' );
+	t.equal( isnan( v ), true, 'returns expected value' );
 
 	t.end();
 });
 
-tape( 'the function returns the mode of a Bradford distribution', opts, function test( t ) {
-	var v;
-
-	v = mode( 0.1 );
-	t.equal( v, 0.0, 'returns 0.0' );
-
-	v = mode( 0.5 );
-	t.equal( v, 0.0, 'returns 0.0' );
-
-	v = mode( 1.0 );
-	t.equal( v, 0.0, 'returns 0.0' );
-
-	v = mode( 10.0 );
-	t.equal( v, 0.0, 'returns 0.0' );
-
-	v = mode( 100.0 );
-	t.equal( v, 0.0, 'returns 0.0' );
+tape( 'the function returns `0.0` as the mode of a Bradford distribution', opts, function test( t ) {
+	var c;
+	var i;
+	var y;
 
-	v = mode( PINF );
-	t.equal( v, 0.0, 'returns 0.0' );
+	c = uniform( 10, 0.1, 10.0 );
 
+	for ( i = 0; i < c.length; i++ ) {
+		y = mode( c[ i ] );
+		t.equal( y, 0.0, 'returns expected value' );
+	}
 	t.end();
 });