chore: clean-up

Ref: 74b29a5

---
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: na
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: passed
  - task: lint_javascript_benchmarks
    status: passed
  - task: lint_python
    status: na
  - 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: kgryte

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

@@ -23,7 +23,7 @@
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench/harness' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -39,14 +39,19 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
+	var opts;
 	var c;
 	var y;
 	var i;
 
+	opts = {
+		'dtype': 'float64'
+	};
+	c = uniform( 100, 0.1, 10.0, opts );
+
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		c = uniform( 0.1, 10.0 );
-		y = median( c );
+		y = median( c[ i % c.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -99,12 +99,10 @@ 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_median( c[ i % 100 ] );
@@ -125,21 +123,17 @@ 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/median/manifest.json

@@ -34,6 +34,7 @@
       "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/math/base/napi/unary",
         "@stdlib/math/base/assert/is-nan",
         "@stdlib/math/base/special/sqrt"
       ]

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

@@ -71,38 +71,39 @@ tape( 'if provided a nonpositive `c`, the function returns `NaN`', opts, functio
 	t.end();
 });
 
-tape( 'the function returns the median of a Bradford distribution', opts, function test( t ) {
-	var expected;
-	var c;
-	var i;
+tape( 'if provided `c <= 0`, the function returns `NaN`', opts, function test( t ) {
+	var v;
+
+	v = median( 0.0 );
+	t.equal( isnan( v ), true, 'returns expected value' );
+
+	v = median( -1.0 );
+	t.equal( isnan( v ), true, 'returns expected value' );
+
+	v = median( NINF );
+	t.equal( isnan( v ), true, 'returns expected value' );
 
-	expected = data.expected;
-	c = data.x;
-	for ( i = 0; i < c.length; i++ ) {
-		t.equal( median( c[i] ), expected[ i ], 'returns expected value' );
-	}
 	t.end();
 });
 
-tape( 'the function returns the median of a Bradford distribution (test fixtures)', opts, function test( t ) {
+tape( 'the function returns the median of a Bradford distribution', opts, function test( t ) {
 	var expected;
 	var delta;
 	var tol;
-	var c;
-	var v;
 	var i;
+	var c;
+	var y;
 
-	// We test against more stringent tolerance here given the sqrt in the implementation
-	tol = 5.0 * EPS; // ~1.11e-15
 	expected = data.expected;
 	c = data.x;
 	for ( i = 0; i < expected.length; i++ ) {
-		v = median( c[i] );
-		if ( v === expected[ i ] ) {
-			t.equal( v, expected[ i ], 'returns expected value' );
+		y = median( c[i] );
+		if ( y === expected[i] ) {
+			t.equal( y, expected[i], 'c: '+c[i]+', y: '+y+', expected: '+expected[i] );
 		} else {
-			delta = abs( v - expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. c: ' + c[i] + '. Expected: ' + expected[i] + '. Actual: ' + v + '. Tolerance: ' + tol + '.' );
+			delta = abs( y - expected[ i ] );
+			tol = 7.2 * EPS * abs( expected[ i ] );
+			t.ok( delta <= tol, 'within tolerance. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 		}
 	}
 	t.end();