chore: clean-up

Ref: 1acbc66

---
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/entropy/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_entropy( 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/entropy/lib/main.js

@@ -58,10 +58,7 @@ var ln = require( '@stdlib/math/base/special/ln' );
 */
 function entropy( c ) {
 	var k;
-	if (
-		isnan( c ) ||
-		c <= 0.0
-	) {
+	if ( isnan( c ) || c <= 0.0 ) {
 		return NaN;
 	}
 	k = ln( 1.0 + c );

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

@@ -32,10 +32,7 @@
 */
 double stdlib_base_dists_bradford_entropy( const double c ) {
 	double k;
-	if (
-		stdlib_base_is_nan( c ) ||
-		c <= 0.0
-	) {
+	if ( stdlib_base_is_nan( c ) || c <= 0.0 ) {
 		return 0.0/0.0; // NaN
 	}
 	k = stdlib_base_ln( 1.0 + c );

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

@@ -24,6 +24,7 @@ var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var abs = require( '@stdlib/math/base/special/abs' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 
@@ -38,7 +39,8 @@ var opts = {
 
 // FIXTURES //
 
-var data = require( './fixtures/python/small_c.json' );
+var smallC = require( './fixtures/python/small_c.json' );
+var largeC = require( './fixtures/python/large_c.json' );
 
 
 // TESTS //
@@ -55,29 +57,32 @@ tape( 'the function returns `NaN` if provided `NaN`', opts, function test( t ) {
 	t.end();
 });
 
-tape( 'the function returns `NaN` if provided a shape parameter which is not positive', opts, function test( t ) {
-	var y;
+tape( 'if provided `c <= 0`, the function returns `NaN`', opts, function test( t ) {
+	var v;
 
-	y = entropy( 0.0 );
-	t.equal( isnan( y ), true, 'returns expected value' );
+	v = entropy( 0.0 );
+	t.equal( isnan( v ), true, 'returns expected value' );
 
-	y = entropy( -1.0 );
-	t.equal( isnan( y ), true, 'returns expected value' );
+	v = entropy( -1.0 );
+	t.equal( isnan( v ), true, 'returns expected value' );
+
+	v = entropy( NINF );
+	t.equal( isnan( v ), true, 'returns expected value' );
 
 	t.end();
 });
 
-tape( 'the function returns the differential entropy of a Bradford distribution', opts, function test( t ) {
+tape( 'the function returns the differential entropy of a Bradford distribution given small parameter `c`', opts, function test( t ) {
 	var expected;
 	var delta;
 	var tol;
+	var i;
 	var c;
 	var y;
-	var i;
 
-	expected = data.expected;
-	c = data.c;
-	for ( i = 0; i < c.length; i++ ) {
+	expected = smallC.expected;
+	c = smallC.c;
+	for ( i = 0; i < expected.length; i++ ) {
 		y = entropy( c[i] );
 		if ( y === expected[i] ) {
 			t.equal( y, expected[i], 'c: '+c[i]+', y: '+y+', expected: '+expected[i] );
@@ -89,3 +94,26 @@ tape( 'the function returns the differential entropy of a Bradford distribution'
 	}
 	t.end();
 });
+
+tape( 'the function returns the differential entropy of a Bradford distribution given large parameter `c`', opts, function test( t ) {
+	var expected;
+	var delta;
+	var tol;
+	var i;
+	var c;
+	var y;
+
+	expected = largeC.expected;
+	c = largeC.c;
+	for ( i = 0; i < expected.length; i++ ) {
+		y = entropy( c[i] );
+		if ( y === expected[i] ) {
+			t.equal( y, expected[i], 'c: '+c[i]+', y: '+y+', expected: '+expected[i] );
+		} else {
+			delta = abs( y - expected[ i ] );
+			tol = 45.0 * EPS * abs( expected[ i ] );
+			t.ok( delta <= tol, 'within tolerance. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+		}
+	}
+	t.end();
+});