refactor: precompute constant

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---

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/gumbel/kurtosis/lib/main.js

@@ -60,7 +60,7 @@ function kurtosis( mu, beta ) {
 	) {
 		return NaN;
 	}
-	return 12.0 / 5.0;
+	return 2.4; // 12.0 / 5.0
 }
 
 

lib/node_modules/@stdlib/stats/base/dists/gumbel/kurtosis/src/main.c

@@ -38,5 +38,5 @@ double stdlib_base_dists_gumbel_kurtosis( const double mu, const double beta ) {
 	) {
 		return 0.0/0.0; // NaN
 	}
-	return 12.0 / 5.0;
+	return 2.4; // 12.0 / 5.0
 }

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

@@ -22,10 +22,8 @@
 
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var kurtosis = require( './../lib' );
 
 
@@ -79,9 +77,7 @@ tape( 'if provided a nonpositive `beta`, the function returns `NaN`', function t
 
 tape( 'the function returns the excess kurtosis of a Gumbel distribution', function test( t ) {
 	var expected;
-	var delta;
 	var beta;
-	var tol;
 	var mu;
 	var y;
 	var i;
@@ -92,13 +88,7 @@ tape( 'the function returns the excess kurtosis of a Gumbel distribution', funct
 	for ( i = 0; i < mu.length; i++ ) {
 		y = kurtosis( mu[i], beta[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.equal( y, expected[i], 'mu:'+mu[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.equal( y, expected[i], 'mu:'+mu[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
 		}
 	}
 	t.end();

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

@@ -24,10 +24,8 @@ 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 PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 
 
 // FIXTURES //
@@ -88,9 +86,7 @@ tape( 'if provided a nonpositive `beta`, the function returns `NaN`', opts, func
 
 tape( 'the function returns the excess kurtosis of a Gumbel distribution', opts, function test( t ) {
 	var expected;
-	var delta;
 	var beta;
-	var tol;
 	var mu;
 	var y;
 	var i;
@@ -101,13 +97,7 @@ tape( 'the function returns the excess kurtosis of a Gumbel distribution', opts,
 	for ( i = 0; i < mu.length; i++ ) {
 		y = kurtosis( mu[i], beta[i] );
 		if ( expected[i] !== null) {
-			if ( y === expected[i] ) {
-				t.equal( y, expected[i], 'mu:'+mu[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 2.0 * EPS * abs( expected[ i ] );
-				t.ok( delta <= tol, 'within tolerance. mu: '+mu[i]+'. beta: '+beta[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-			}
+			t.equal( y, expected[i], 'mu:'+mu[i]+', beta: '+beta[i]+', y: '+y+', expected: '+expected[i] );
 		}
 	}
 	t.end();