chore: clean-up

---
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: passed
  - 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: na
  - 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/halfnormal/kurtosis/benchmark/benchmark.js

@@ -21,8 +21,7 @@
 // MODULES //
 
 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 EPS = require( '@stdlib/constants/float64/eps' );
 var pkg = require( './../package.json' ).name;
@@ -33,19 +32,18 @@ var kurtosis = require( './../lib' );
 
 bench( pkg, function benchmark( b ) {
 	var sigma;
-	var len;
+	var opts;
 	var y;
 	var i;
 
-	len = 100;
-	sigma = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		sigma[ i ] = uniform( EPS, 10.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	sigma = uniform( 100, EPS, 10.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = kurtosis( sigma[ i % len ] );
+		y = kurtosis( sigma[ i % sigma.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/benchmark.native.js

@@ -22,10 +22,10 @@
 
 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 EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var pkg = require( './../package.json' ).name;
 
@@ -40,21 +40,20 @@ var opts = {
 
 // MAIN //
 
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
 	var sigma;
-	var len;
+	var opts;
 	var y;
 	var i;
 
-	len = 100;
-	sigma = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		sigma[ i ] = uniform( EPS, 10.0 );
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	sigma = uniform( 100, EPS, 10.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = kurtosis( sigma[ i % len ] );
+		y = kurtosis( sigma[ i % sigma.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}

lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/docs/repl.txt

@@ -1,9 +1,9 @@
 
 {{alias}}( σ )
-    Returns the excess kurtosis of a half-normal distribution with
-    scale parameter `σ`.
+    Returns the excess kurtosis of a half-normal distribution with scale
+    parameter `σ`.
 
-    If provided `NaN` as any argument, the function returns `NaN`.
+    If provided `NaN`, the function returns `NaN`.
 
     If provided `σ <= 0`, the function returns `NaN`.
 

lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/include/stdlib/stats/base/dists/halfnormal/kurtosis.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Returns the excess kurtosis for a Half-normal distribution with scale parameter `sigma`.
+* Returns the excess kurtosis for a half-normal distribution with scale parameter `sigma`.
 */
 double stdlib_base_dists_halfnormal_kurtosis( const double sigma );
 

lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/test.js

@@ -22,8 +22,6 @@
 
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
 var kurtosis = require( './../lib' );
 
@@ -41,7 +39,7 @@ tape( 'main export is a function', function test( t ) {
 	t.end();
 });
 
-tape( 'if provided `NaN` for `sigma`, the function returns `NaN`', function test( t ) {
+tape( 'if provided `NaN`, the function returns `NaN`', function test( t ) {
 	var y = kurtosis( NaN );
 	t.strictEqual( isnan( y ), true, 'returns expected value' );
 	t.end();
@@ -65,22 +63,14 @@ tape( 'if provided `sigma <= 0`, the function returns `NaN`', function test( t )
 tape( 'the function returns the excess kurtosis', function test( t ) {
 	var expected;
 	var sigma;
-	var delta;
-	var tol;
 	var y;
 	var i;
 
 	expected = data.expected;
 	sigma = data.sigma;
 	for ( i = 0; i < sigma.length; i++ ) {
 		y = kurtosis( sigma[i] );
-		if ( y === expected[i] ) {
-			t.equal( y, expected[i], 'sigma: '+sigma[i]+'. E: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[i]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.equal( y, expected[i], 'sigma: '+sigma[i]+'. E: '+expected[i] );
 	}
 	t.end();
 });

lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/test.native.js

@@ -22,11 +22,9 @@
 
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
-var tryRequire = require( '@stdlib/utils/try-require' );
 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' );
 
 
 // FIXTURES //
@@ -56,7 +54,7 @@ tape( 'if provided `NaN`, the function returns `NaN`', opts, function test( t )
 	t.end();
 });
 
-tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', opts, function test( t ) {
+tape( 'if provided `sigma <= 0`, the function returns `NaN`', opts, function test( t ) {
 	var y;
 
 	y = kurtosis( 0.0 );
@@ -73,25 +71,15 @@ tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', opts, fun
 
 tape( 'the function returns the excess kurtosis of a half-normal distribution', opts, function test( t ) {
 	var expected;
-	var delta;
 	var sigma;
-	var tol;
 	var y;
 	var i;
 
 	expected = data.expected;
 	sigma = data.sigma;
 	for ( i = 0; i < sigma.length; i++ ) {
 		y = kurtosis( sigma[i] );
-		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.strictEqual( y, expected[i], 'sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 1.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
-		}
+		t.strictEqual( y, expected[i], 'sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
 	}
 	t.end();
 });