chore: clean-up

Ref: e3541f0

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

Author: kgryte

lib/node_modules/@stdlib/stats/base/dists/bradford/cdf/README.md

@@ -99,11 +99,11 @@ y = cdf( 0.5, -5.0 );
 Returns a function for evaluating the [CDF][cdf] of a [Bradford][bradford-distribution] distribution with shape parameter `c`.
 
 ```javascript
-var myPDF = cdf.factory( 5.0 );
-var y = myPDF( 0.5 );
+var myCDF = cdf.factory( 5.0 );
+var y = myCDF( 0.5 );
 // returns ~0.699
 
-y = myPDF( 1.0 );
+y = myCDF( 1.0 );
 // returns 1.0
 ```
 

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

@@ -22,8 +22,7 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
@@ -40,23 +39,21 @@ var opts = {
 // MAIN //
 
 bench( pkg+'::native', opts, function benchmark( b ) {
-	var len;
+	var opts;
 	var x;
 	var c;
 	var y;
 	var i;
 
-	len = 100;
-	x = new Float64Array( len );
-	c = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 1.0 );
-		c[ i ] = uniform( 0.1, 10.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, 0.0, 1.0, opts );
+	c = uniform( 100, 0.1, 10.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = cdf( x[ i % len ], c[ i % len ] );
+		y = cdf( x[ i % x.length ], c[ i % c.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

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

@@ -100,13 +100,10 @@ static double benchmark( void ) {
 	double y;
 	int i;
 
-	// Generate test data:
 	for ( i = 0; i < 100; i++ ) {
 		x[ i ] = random_uniform( 0.0, 1.0 );
 		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_cdf( x[ i % 100 ], c[ i % 100 ] );
@@ -127,21 +124,17 @@ 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/cdf/docs/repl.txt

@@ -45,8 +45,8 @@
 
 
 {{alias}}.factory( c )
-    Returns a function for evaluating the cumulative distribution function
-    (CDF) of a Bradford distribution with shape parameter `c`.
+    Returns a function for evaluating the cumulative distribution function (CDF)
+    of a Bradford distribution with shape parameter `c`.
 
     Parameters
     ----------

lib/node_modules/@stdlib/stats/base/dists/bradford/cdf/docs/types/index.d.ts

@@ -87,11 +87,11 @@ interface CDF {
 	* @returns CDF
 	*
 	* @example
-	* var mypdf = cdf.factory( 5.0 );
-	* var y = mypdf( 0.5 );
+	* var mycdf = cdf.factory( 5.0 );
+	* var y = mycdf( 0.5 );
 	* // returns ~0.699
 	*
-	* y = mypdf( 1.0 );
+	* y = mycdf( 1.0 );
 	* // returns 1.0
 	*/
 	factory( c: number ): Unary;

lib/node_modules/@stdlib/stats/base/dists/bradford/cdf/lib/factory.js

@@ -42,10 +42,7 @@ var log1p = require( '@stdlib/math/base/special/log1p' );
 * // returns 1.0
 */
 function factory( c ) {
-	if (
-		isnan( c ) ||
-		c <= 0.0
-	) {
+	if ( isnan( c ) || c <= 0.0 ) {
 		return constantFunction( NaN );
 	}
 	return cdf;
@@ -62,9 +59,7 @@ function factory( c ) {
 	* // returns <number>
 	*/
 	function cdf( x ) {
-		if (
-			isnan( x )
-		) {
+		if ( isnan( x ) ) {
 			return NaN;
 		}
 		if ( x <= 0.0 ) {

lib/node_modules/@stdlib/stats/base/dists/bradford/cdf/lib/index.js

@@ -29,11 +29,11 @@
 * var y = cdf( 0.5, 5.0 );
 * // returns ~0.699
 *
-* var myPDF = cdf.factory( 5.0 );
-* y = myPDF( 0.5 );
+* var myCDF = cdf.factory( 5.0 );
+* y = myCDF( 0.5 );
 * // returns ~0.699
 *
-* y = myPDF( 1.0 );
+* y = myCDF( 1.0 );
 * // returns 1.0
 */
 

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

@@ -70,11 +70,7 @@ var log1p = require( '@stdlib/math/base/special/log1p' );
 * // returns NaN
 */
 function cdf( x, c ) {
-	if (
-		isnan( c ) ||
-		isnan( x ) ||
-		c <= 0.0
-	) {
+	if ( isnan( c ) || isnan( x ) || c <= 0.0 ) {
 		return NaN;
 	}
 	if ( x <= 0.0 ) {

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

@@ -80,32 +80,38 @@ tape( 'if provided `c <= 0`, the function returns `NaN`', opts, function test( t
 	t.end();
 });
 
-tape( 'if provided `x <= 0` and a valid `c`, the function returns `0`', opts, function test( t ) {
+tape( 'if provided a number greater than or equal to one for `x` and a finite `c`, the function returns `1`', opts, function test( t ) {
 	var y;
 
-	y = cdf( 0.0, 1.0 );
-	t.equal( y, 0.0, 'returns expected value' );
+	y = cdf( PINF, 0.5 );
+	t.equal( y, 1.0, 'returns expected value' );
 
-	y = cdf( -0.5, 1.0 );
-	t.equal( y, 0.0, 'returns expected value' );
+	y = cdf( 100.0, 0.5 );
+	t.equal( y, 1.0, 'returns expected value' );
 
-	y = cdf( NINF, 1.0 );
-	t.equal( y, 0.0, 'returns expected value' );
+	y = cdf( 10.0, 0.5 );
+	t.equal( y, 1.0, 'returns expected value' );
+
+	y = cdf( 1.0, 0.5 );
+	t.equal( y, 1.0, 'returns expected value' );
 
 	t.end();
 });
 
-tape( 'if provided `x >= 1` and a valid `c`, the function returns `1`', opts, function test( t ) {
+tape( 'if provided a number less than or equal to zero for `x` and a finite `c`, the function returns `0`', opts, function test( t ) {
 	var y;
 
-	y = cdf( 1.0, 1.0 );
-	t.equal( y, 1.0, 'returns expected value' );
+	y = cdf( NINF, 0.5 );
+	t.equal( y, 0.0, 'returns expected value' );
 
-	y = cdf( 2.0, 1.0 );
-	t.equal( y, 1.0, 'returns expected value' );
+	y = cdf( -100.0, 0.5 );
+	t.equal( y, 0.0, 'returns expected value' );
 
-	y = cdf( PINF, 1.0 );
-	t.equal( y, 1.0, 'returns expected value' );
+	y = cdf( -1.0, 0.5 );
+	t.equal( y, 0.0, 'returns expected value' );
+
+	y = cdf( 0.0, 0.5 );
+	t.equal( y, 0.0, 'returns expected value' );
 
 	t.end();
 });