Auto-generated commit

Author: stdlib-bot

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-01-19)
+## Unreleased (2025-01-20)
 
 <section class="features">
 
@@ -34,6 +34,7 @@ This release closes the following issue:
 
 <details>
 
+-   [`5a6efed`](https://github.com/stdlib-js/stdlib/commit/5a6efed4b52bece2bbcef65d8b19dcfaa168ff78) - **refactor:** precompute constant _(by Philipp Burckhardt)_
 -   [`03954e1`](https://github.com/stdlib-js/stdlib/commit/03954e125b6cc761a5456e51c909ab09b18d15ee) - **feat:** add C implementation for `stats/base/dists/logistic/stdev`   [(#4189)](https://github.com/stdlib-js/stdlib/pull/4189) _(by Vivek Maurya, Philipp Burckhardt, stdlib-bot)_
 -   [`4a70790`](https://github.com/stdlib-js/stdlib/commit/4a707903dfef7c2b56216000165706497d19a251) - **style:** add missing spaces _(by Philipp Burckhardt)_
 

dist/index.js

@@ -21,8 +21,11 @@
 // MODULES //
 
 var isnan = require( '@stdlib/math-base-assert-is-nan' );
-var SQRT3 = require( '@stdlib/constants-float64-sqrt-three' );
-var PI = require( '@stdlib/constants-float64-pi' );
+
+
+// VARIABLES //
+
+var PI_OVER_SQRT_THREE = 1.8137993642342178; // π divided by the square root of 3
 
 
 // MAIN //
@@ -62,7 +65,7 @@ function stdev( mu, s ) {
 	) {
 		return NaN;
 	}
-	return s * PI / SQRT3;
+	return s * PI_OVER_SQRT_THREE;
 }
 
 

dist/index.js.map

@@ -21,6 +21,8 @@
 #include "stdlib/constants/float64/pi.h"
 #include "stdlib/constants/float64/sqrt_three.h"
 
+static const double PI_OVER_SQRT_THREE = 1.8137993642342178; // π divided by the square root of 3
+
 /**
 * Returns the standard deviation for a logistic distribution with location `mu` and scale `s`.
 *
@@ -40,5 +42,5 @@ double stdlib_base_dists_logistic_stdev( const double mu, const double s ) {
 	) {
 		return 0.0/0.0; // NaN
 	}
-	return s * STDLIB_CONSTANT_FLOAT64_PI / STDLIB_CONSTANT_FLOAT64_SQRT3;
+	return s * PI_OVER_SQRT_THREE;
 }

lib/main.js

@@ -96,7 +96,7 @@ tape( 'the function returns the standard deviation of a logistic distribution',
 				t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
 			} else {
 				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
+				tol = 1.0 * EPS * abs( expected[ i ] );
 				t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. s: '+s[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 			}
 		}

src/main.c

@@ -105,7 +105,7 @@ tape( 'the function returns the standard deviation of a logistic distribution',
 				t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
 			} else {
 				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
+				tol = 1.0 * EPS * abs( expected[ i ] );
 				t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. s: '+s[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
 			}
 		}