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: 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: passed
  - task: lint_r
    status: na
  - task: lint_c_src
    status: passed
  - 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/entropy/benchmark/benchmark.js

@@ -21,8 +21,7 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+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;
@@ -33,25 +32,23 @@ var entropy = 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 ] = ( randu()*20.0 ) + EPS;
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	sigma = uniform( 100, EPS, 20.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = entropy( sigma[ i % len ] );
+		y = entropy( sigma[ i % sigma.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
 	}
 	b.toc();
-
 	if ( isnan( y ) ) {
 		b.fail( 'should not return NaN' );
 	}

lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/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 randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
 var tryRequire = require( '@stdlib/utils/try-require' );
@@ -43,25 +42,23 @@ var opts = {
 
 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 ] = ( randu() * 20.0 ) + EPS;
-	}
+	opts = {
+		'dtype': 'float64'
+	};
+	sigma = uniform( 100, EPS, 20.0, opts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		y = entropy( sigma[ i % len ] );
+		y = entropy( sigma[ i % sigma.length ] );
 		if ( isnan( y ) ) {
 			b.fail( 'should not return NaN' );
 		}
 	}
 	b.toc();
-
 	if ( isnan( y ) ) {
 		b.fail( 'should not return NaN' );
 	}

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

@@ -2,7 +2,7 @@
 {{alias}}( σ )
     Returns the differential entropy of a half-normal distribution.
 
-    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/entropy/lib/main.js

@@ -26,6 +26,11 @@ var GAMMA = require( '@stdlib/constants/float64/eulergamma' );
 var SQRT_HALF_PI = require( '@stdlib/constants/float64/sqrt-half-pi' );
 
 
+// VARIABLES //
+
+var SCALAR = ln( SQRT_HALF_PI ) + ( 0.5*GAMMA ) + 0.5;
+
+
 // MAIN //
 
 /**
@@ -54,7 +59,7 @@ function entropy( sigma ) {
 	if ( isnan( sigma ) || sigma <= 0.0 ) {
 		return NaN;
 	}
-	return 0.5 + ln( sigma ) + ln( SQRT_HALF_PI ) + ( 0.5 * GAMMA );
+	return ln( sigma ) + SCALAR;
 }
 
 

lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/manifest.json

@@ -39,10 +39,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/napi/unary",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/special/ln",
-        "@stdlib/constants/float64/eulergamma",
-        "@stdlib/constants/float64/sqrt-half-pi"
+        "@stdlib/math/base/assert/is-nan"
       ]
     },
     {
@@ -58,9 +55,6 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/special/ln",
-        "@stdlib/constants/float64/eulergamma",
-        "@stdlib/constants/float64/sqrt-half-pi",
         "@stdlib/constants/float64/eps"
       ]
     },
@@ -76,10 +70,7 @@
       "libraries": [],
       "libpath": [],
       "dependencies": [
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/math/base/special/ln",
-        "@stdlib/constants/float64/eulergamma",
-        "@stdlib/constants/float64/sqrt-half-pi"
+        "@stdlib/math/base/assert/is-nan"
       ]
     }
   ]

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

@@ -18,9 +18,9 @@
 
 #include "stdlib/stats/base/dists/halfnormal/entropy.h"
 #include "stdlib/math/base/assert/is_nan.h"
-#include "stdlib/math/base/special/ln.h"
-#include "stdlib/constants/float64/eulergamma.h"
-#include "stdlib/constants/float64/sqrt_half_pi.h"
+
+// 0.5 + ln(sqrt(π/2)) + (eulergamma/2):
+static const double scalar = 1.5143991850954939;
 
 /**
 * Returns the differential entropy of a half-normal distribution.
@@ -33,11 +33,8 @@
 * // returns ~1.014
 */
 double stdlib_base_dists_halfnormal_entropy( const double sigma ) {
-	if (
-		stdlib_base_is_nan( sigma ) ||
-		sigma <= 0.0
-	) {
+	if ( stdlib_base_is_nan( sigma ) || sigma <= 0.0 ) {
 		return 0.0/0.0; // NaN
 	}
-	return 0.5 + stdlib_base_ln( sigma ) + stdlib_base_ln( STDLIB_CONSTANT_FLOAT64_SQRT_HALF_PI ) + ( 0.5 * STDLIB_CONSTANT_FLOAT64_EULERGAMMA );
+	return stdlib_base_ln( sigma ) + SCALAR;
 }