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();
 });