refactor: precompute constant

---
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: na
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: passed
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    status: na
  - task: lint_python
    status: na
  - 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
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    status: na
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

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

@@ -21,8 +21,11 @@
 // MODULES //
 
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var pow = require( '@stdlib/math/base/special/pow' );
-var PI_SQUARED = require( '@stdlib/constants/float64/pi-squared' );
+
+
+// VARIABLES //
+
+var COSINE_EXCESS_KURTOSIS = -0.5937628755982794; // 6(90-π^4)/(5(π^4-6)^2)
 
 
 // MAIN //
@@ -55,17 +58,14 @@ var PI_SQUARED = require( '@stdlib/constants/float64/pi-squared' );
 * // returns NaN
 */
 function kurtosis( mu, s ) {
-	var out;
 	if (
 		isnan( mu ) ||
 		isnan( s ) ||
 		s <= 0.0
 	) {
 		return NaN;
 	}
-	out = 6.0 * ( 90.0 - ( PI_SQUARED*PI_SQUARED ) );
-	out /= 5.0 * pow( PI_SQUARED-6.0, 2.0 );
-	return out;
+	return COSINE_EXCESS_KURTOSIS;
 }
 
 

lib/node_modules/@stdlib/stats/base/dists/cosine/kurtosis/manifest.json

@@ -39,10 +39,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/napi/binary",
-        "@stdlib/math/base/assert/is-nan",
-        "@stdlib/constants/float64/eps",
-        "@stdlib/math/base/special/pow",
-        "@stdlib/constants/float64/pi-squared"
+        "@stdlib/math/base/assert/is-nan"
       ]
     },
     {
@@ -58,9 +55,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/assert/is-nan",
-        "@stdlib/constants/float64/eps",
-        "@stdlib/math/base/special/pow",
-        "@stdlib/constants/float64/pi-squared"
+        "@stdlib/constants/float64/eps"
       ]
     },
     {
@@ -76,9 +71,7 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/assert/is-nan",
-        "@stdlib/constants/float64/eps",
-        "@stdlib/math/base/special/pow",
-        "@stdlib/constants/float64/pi-squared"
+        "@stdlib/constants/float64/eps"
       ]
     }
   ]

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

@@ -18,8 +18,8 @@
 
 #include "stdlib/stats/base/dists/cosine/kurtosis.h"
 #include "stdlib/math/base/assert/is_nan.h"
-#include "stdlib/math/base/special/pow.h"
-#include "stdlib/constants/float64/pi_squared.h"
+
+static const double COSINE_EXCESS_KURTOSIS = -0.5937628755982794; // 6(90-π^4)/(5(π^4-6)^2)
 
 /**
 * Returns the excess kurtosis of a raised cosine distribution.
@@ -40,7 +40,5 @@ double stdlib_base_dists_cosine_kurtosis( const double mu, const double s ) {
 	) {
 		return 0.0/0.0; // NaN
 	}
-	double out = 6.0 * ( 90.0 - ( STDLIB_CONSTANT_FLOAT64_PI_SQUARED*STDLIB_CONSTANT_FLOAT64_PI_SQUARED ) );
-	out /= 5.0 * stdlib_base_pow( STDLIB_CONSTANT_FLOAT64_PI_SQUARED-6.0, 2.0 );
-	return out;
+	return COSINE_EXCESS_KURTOSIS;
 }

lib/node_modules/@stdlib/stats/base/dists/cosine/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' );
 
 
@@ -79,8 +77,6 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', function test
 
 tape( 'the function returns the excess kurtosis of a raised cosine distribution', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var mu;
 	var s;
 	var y;
@@ -92,13 +88,7 @@ tape( 'the function returns the excess kurtosis of a raised cosine distribution'
 	for ( i = 0; i < mu.length; i++ ) {
 		y = kurtosis( mu[i], s[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 10.0 * 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+'.' );
-			}
+			t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
 		}
 	}
 	t.end();

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

@@ -23,10 +23,8 @@
 var resolve = require( 'path' ).resolve;
 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 tryRequire = require( '@stdlib/utils/try-require' );
 
 
@@ -88,8 +86,6 @@ tape( 'if provided a nonpositive `s`, the function returns `NaN`', opts, functio
 
 tape( 'the function returns the excess kurtosis of a raised cosine distribution', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var mu;
 	var s;
 	var y;
@@ -101,13 +97,7 @@ tape( 'the function returns the excess kurtosis of a raised cosine distribution'
 	for ( i = 0; i < mu.length; i++ ) {
 		y = kurtosis( mu[i], s[i] );
 		if ( expected[i] !== null ) {
-			if ( y === expected[i] ) {
-				t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
-			} else {
-				delta = abs( y - expected[ i ] );
-				tol = 10.0 * 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+'.' );
-			}
+			t.equal( y, expected[i], 'mu:'+mu[i]+', s: '+s[i]+', y: '+y+', expected: '+expected[i] );
 		}
 	}
 	t.end();