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lib/node_modules/@stdlib/stats/base/dists/planck/kurtosis/README.md

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@@ -190,6 +190,7 @@ static double random_uniform( const double min, const double max ) {
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double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
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return min + ( v*(max-min) );
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}
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int main( void ) {
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double lambda;
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double y;

lib/node_modules/@stdlib/stats/base/dists/planck/kurtosis/benchmark/c/Makefile

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#/
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# @license Apache-2.0
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#
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# Copyright (c) 2024 The Stdlib Authors.
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# Copyright (c) 2025 The Stdlib Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.

lib/node_modules/@stdlib/stats/base/dists/planck/kurtosis/binding.gyp

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# @license Apache-2.0
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#
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# Copyright (c) 2024 The Stdlib Authors.
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# Copyright (c) 2025 The Stdlib Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.

lib/node_modules/@stdlib/stats/base/dists/planck/kurtosis/examples/c/Makefile

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#/
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# @license Apache-2.0
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#
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# Copyright (c) 2024 The Stdlib Authors.
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# Copyright (c) 2025 The Stdlib Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.

lib/node_modules/@stdlib/stats/base/dists/planck/kurtosis/include.gypi

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# @license Apache-2.0
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#
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# Copyright (c) 2024 The Stdlib Authors.
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# Copyright (c) 2025 The Stdlib Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.

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

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/**
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* @license Apache-2.0
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*
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* Copyright (c) 2024 The Stdlib Authors.
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* Copyright (c) 2025 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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#endif
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/**
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* Evaluates the excess kurtosis for an planck distribution with shape parameter lambda (λ).
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* Evaluates the excess kurtosis for an planck distribution with shape parameter `λ`.
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*/
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double stdlib_base_dists_planck_kurtosis( const double lambda );
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lib/node_modules/@stdlib/stats/base/dists/planck/kurtosis/lib/native.js

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// MAIN //
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/**
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* Evaluates the excess kurtosis for a Planck distribution with shape parameter `lambda`.
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* Evaluates the excess kurtosis for a Planck distribution with shape parameter `λ`.
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*
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* @private
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* @param {number} lambda - shape parameter

lib/node_modules/@stdlib/stats/base/dists/planck/kurtosis/src/Makefile

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#/
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# @license Apache-2.0
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#
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# Copyright (c) 2024 The Stdlib Authors.
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# Copyright (c) 2025 The Stdlib Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.

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

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#include "stdlib/math/base/special/cosh.h"
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/**
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* Evaluates the excess kurtosis for a Planck distribution with shape parameter `lambda`.
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* Evaluates the excess kurtosis for a Planck distribution with shape parameter `λ`.
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*
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* @param lambda shape parameter
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* @return kurtosis

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

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var isnan = require( '@stdlib/math/base/assert/is-nan' );
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var abs = require( '@stdlib/math/base/special/abs' );
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var EPS = require( '@stdlib/constants/float64/eps' );
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var kurtosis = require( './../lib' );
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// FIXTURES //
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// TESTS //
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tape( 'main export is a function',opts, function test( t ) {
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tape( 'main export is a function', opts, function test( t ) {
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t.ok( true, __filename );
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t.strictEqual( typeof kurtosis, 'function', 'main export is a function' );
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t.end();
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});
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tape( 'if provided `NaN` for `lambda`, the function returns `NaN`',opts, function test( t ) {
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tape( 'if provided `NaN` for `lambda`, the function returns `NaN`', opts, function test( t ) {
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var v = kurtosis( NaN );
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t.equal( isnan( v ), true, 'returns NaN' );
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t.end();
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});
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tape( 'if provided a shape parameter `lambda` which is nonpositive, the function returns `NaN`',opts, function test( t ) {
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tape( 'if provided a shape parameter `lambda` which is nonpositive, the function returns `NaN`', opts, function test( t ) {
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var v;
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v = kurtosis( 0.0 );
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t.end();
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});
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tape( 'the function returns the excess kurtosis of a Planck distribution', opts , function test( t ) {
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tape( 'the function returns the excess kurtosis of a Planck distribution', opts, function test( t ) {
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var expected;
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var lambda;
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var delta;

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