w4kek/WSJT-X
1
0
Fork 0
mirror of https://github.com/saitohirga/WSJT-X.git synced 2024-11-16 17:11:53 -05:00
Code Issues Packages Projects Releases Wiki Activity
6997937048
WSJT-X/boost/libs/math/test/test_cauchy.cpp

742 lines
29 KiB
C++
Raw Normal View History

Squashed 'boost/' content from commit b4feb19f2 git-subtree-dir: boost git-subtree-split: b4feb19f287ee92d87a9624b5d36b7cf46aeadeb
2018-06-09 16:48:32 -04:00
// Copyright John Maddock 2006, 2007.
// Copyright Paul A. Bristow 2007
// Use, modification and distribution are subject to the
// Boost Software License, Version 1.0.
// (See accompanying file LICENSE_1_0.txt
// or copy at http://www.boost.org/LICENSE_1_0.txt)
// test_cauchy.cpp Test Cauchy distribution
#ifdef _MSC_VER
# pragma warning(disable: 4100) // unreferenced formal parameter.
// Seems an entirely spurious warning - formal parameter T IS used - get error if /* T */
//# pragma warning(disable: 4535) // calling _set_se_translator() requires /EHa (in Boost.test)
// Enable C++ Exceptions Yes With SEH Exceptions (/EHa) prevents warning 4535.
# pragma warning(disable: 4127) // conditional expression is constant
#endif
// #define BOOST_MATH_ASSERT_UNDEFINED_POLICY false
// To compile even if Cauchy mean is used.
#include <boost/math/tools/test.hpp>
#include <boost/math/concepts/real_concept.hpp> // for real_concept
#include <boost/math/distributions/cauchy.hpp>
using boost::math::cauchy_distribution;
#include "test_out_of_range.hpp"
#define BOOST_TEST_MAIN
#include <boost/test/unit_test.hpp> // Boost.Test
#include <boost/test/floating_point_comparison.hpp>
#include <iostream>
using std::cout;
using std::endl;
template <class RealType>
void test_spots(RealType T)
{
// Check some bad parameters to construct the distribution,
#ifndef BOOST_NO_EXCEPTIONS
BOOST_MATH_CHECK_THROW(boost::math::cauchy_distribution<RealType> nbad1(0, 0), std::domain_error); // zero scale.
BOOST_MATH_CHECK_THROW(boost::math::cauchy_distribution<RealType> nbad1(0, -1), std::domain_error); // negative scale (shape).
#else
BOOST_MATH_CHECK_THROW(boost::math::cauchy_distribution<RealType>(0, 0), std::domain_error); // zero scale.
BOOST_MATH_CHECK_THROW(boost::math::cauchy_distribution<RealType>(0, -1), std::domain_error); // negative scale (shape).
#endif
cauchy_distribution<RealType> C01;
BOOST_CHECK_EQUAL(C01.location(), 0); // Check standard values.
BOOST_CHECK_EQUAL(C01.scale(), 1);
// Basic sanity checks.
// 50eps as a percentage, up to a maximum of double precision
// (that's the limit of our test data).
RealType tolerance = (std::max)(
static_cast<RealType>(boost::math::tools::epsilon<double>()),
boost::math::tools::epsilon<RealType>());
tolerance *= 50 * 100;
cout << "Tolerance for type " << typeid(T).name() << " is " << tolerance << " %" << endl;
// These first sets of test values were calculated by punching numbers
// into a calculator, and using the formulas on the Mathworld website:
// http://mathworld.wolfram.com/CauchyDistribution.html
// and values from MathCAD 200 Professional,
// CDF:
//
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.125)), // x
static_cast<RealType>(0.53958342416056554201085167134004L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(-0.125)), // x
static_cast<RealType>(0.46041657583943445798914832865996L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.5)), // x
static_cast<RealType>(0.64758361765043327417540107622474L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(-0.5)), // x
static_cast<RealType>(0.35241638234956672582459892377526L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(1.0)), // x
static_cast<RealType>(0.75), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(-1.0)), // x
static_cast<RealType>(0.25), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(2.0)), // x
static_cast<RealType>(0.85241638234956672582459892377526L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(-2.0)), // x
static_cast<RealType>(0.14758361765043327417540107622474L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(10.0)), // x
static_cast<RealType>(0.9682744825694464304850228813987L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(-10.0)), // x
static_cast<RealType>(0.031725517430553569514977118601302L), // probability.
tolerance); // %
//
// Complements:
//
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.125))), // x
static_cast<RealType>(0.46041657583943445798914832865996L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(-0.125))), // x
static_cast<RealType>(0.53958342416056554201085167134004L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.5))), // x
static_cast<RealType>(0.35241638234956672582459892377526L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(-0.5))), // x
static_cast<RealType>(0.64758361765043327417540107622474L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(1.0))), // x
static_cast<RealType>(0.25), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(-1.0))), // x
static_cast<RealType>(0.75), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(2.0))), // x
static_cast<RealType>(0.14758361765043327417540107622474L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(-2.0))), // x
static_cast<RealType>(0.85241638234956672582459892377526L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(10.0))), // x
static_cast<RealType>(0.031725517430553569514977118601302L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(-10.0))), // x
static_cast<RealType>(0.9682744825694464304850228813987L), // probability.
tolerance); // %
//
// Quantiles:
//
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.53958342416056554201085167134004L)),
static_cast<RealType>(0.125),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.46041657583943445798914832865996L)),
static_cast<RealType>(-0.125),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.64758361765043327417540107622474L)),
static_cast<RealType>(0.5),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.35241638234956672582459892377526)),
static_cast<RealType>(-0.5),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.75)),
static_cast<RealType>(1.0),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.25)),
static_cast<RealType>(-1.0),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.85241638234956672582459892377526L)),
static_cast<RealType>(2.0),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.14758361765043327417540107622474L)),
static_cast<RealType>(-2.0),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.9682744825694464304850228813987L)),
static_cast<RealType>(10.0),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.031725517430553569514977118601302L)),
static_cast<RealType>(-10.0),
tolerance); // %
//
// Quantile from complement:
//
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.46041657583943445798914832865996L))),
static_cast<RealType>(0.125),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.53958342416056554201085167134004L))),
static_cast<RealType>(-0.125),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.35241638234956672582459892377526L))),
static_cast<RealType>(0.5),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.64758361765043327417540107622474L))),
static_cast<RealType>(-0.5),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.25))),
static_cast<RealType>(1.0),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.75))),
static_cast<RealType>(-1.0),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.14758361765043327417540107622474L))),
static_cast<RealType>(2.0),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.85241638234956672582459892377526L))),
static_cast<RealType>(-2.0),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.031725517430553569514977118601302L))),
static_cast<RealType>(10.0),
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(),
static_cast<RealType>(0.9682744825694464304850228813987L))),
static_cast<RealType>(-10.0),
tolerance); // %
//
// PDF
//
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.125)), // x
static_cast<RealType>(0.31341281101173235351410956479511L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(-0.125)), // x
static_cast<RealType>(0.31341281101173235351410956479511L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(0.5)), // x
static_cast<RealType>(0.25464790894703253723021402139602L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(-0.5)), // x
static_cast<RealType>(0.25464790894703253723021402139602L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(1.0)), // x
static_cast<RealType>(0.15915494309189533576888376337251L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(-1.0)), // x
static_cast<RealType>(0.15915494309189533576888376337251L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(2.0)), // x
static_cast<RealType>(0.063661977236758134307553505349006L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(-2.0)), // x
static_cast<RealType>(0.063661977236758134307553505349006L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(10.0)), // x
static_cast<RealType>(0.0031515830315226799162155200667825L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(),
static_cast<RealType>(-10.0)), // x
static_cast<RealType>(0.0031515830315226799162155200667825L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(2, 5),
static_cast<RealType>(1)), // x
static_cast<RealType>(0.061213439650728975295724524374044L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::pdf(
cauchy_distribution<RealType>(-2, 0.25),
static_cast<RealType>(1)), // x
static_cast<RealType>(0.0087809623774838805941453110826215L), // probability.
tolerance); // %
//
// The following test values were calculated using MathCad,
// precision seems to be about 10^-13.
//
tolerance = (std::max)(tolerance, static_cast<RealType>(1e-11));
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(1, 1),
static_cast<RealType>(0.125)), // x
static_cast<RealType>(0.271189304634946L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(1, 1),
static_cast<RealType>(0.125))), // x
static_cast<RealType>(1 - 0.271189304634946L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(1, 1),
static_cast<RealType>(0.271189304634946L)), // x
static_cast<RealType>(0.125), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(1, 1),
static_cast<RealType>(1 - 0.271189304634946L))), // x
static_cast<RealType>(0.125), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(0.125)), // x
static_cast<RealType>(0.539583424160566L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(0.5)), // x
static_cast<RealType>(0.647583617650433L), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(1)), // x
static_cast<RealType>(0.750000000000000), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(2)), // x
static_cast<RealType>(0.852416382349567), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(10)), // x
static_cast<RealType>(0.968274482569447), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(100)), // x
static_cast<RealType>(0.996817007235092), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(-0.125)), // x
static_cast<RealType>(0.460416575839434), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(-0.5)), // x
static_cast<RealType>(0.352416382349567), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(-1)), // x
static_cast<RealType>(0.2500000000000000), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(-2)), // x
static_cast<RealType>(0.147583617650433), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(-10)), // x
static_cast<RealType>(0.031725517430554), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(0, 1),
static_cast<RealType>(-100)), // x
static_cast<RealType>(3.18299276490824E-3), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(1, 5),
static_cast<RealType>(1.25)), // x
static_cast<RealType>(0.515902251256176), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(2, 2),
static_cast<RealType>(1.25)), // x
static_cast<RealType>(0.385799748780092), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(4, 0.125),
static_cast<RealType>(3)), // x
static_cast<RealType>(0.039583424160566), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(-2, static_cast<RealType>(0.0001)),
static_cast<RealType>(-3)), // x
static_cast<RealType>(3.1830988512275777e-5), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(4, 50),
static_cast<RealType>(-3)), // x
static_cast<RealType>(0.455724386698215), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(-4, 50),
static_cast<RealType>(-3)), // x
static_cast<RealType>(0.506365349100973), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(1, 5),
static_cast<RealType>(1.25))), // x
static_cast<RealType>(1-0.515902251256176), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(2, 2),
static_cast<RealType>(1.25))), // x
static_cast<RealType>(1-0.385799748780092), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(4, 0.125),
static_cast<RealType>(3))), // x
static_cast<RealType>(1-0.039583424160566), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
cauchy_distribution<RealType>(-2, static_cast<RealType>(0.001)),
static_cast<RealType>(-3)), // x
static_cast<RealType>(0.000318309780080539), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(4, 50),
static_cast<RealType>(-3))), // x
static_cast<RealType>(1-0.455724386698215), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::cdf(
complement(cauchy_distribution<RealType>(-4, 50),
static_cast<RealType>(-3))), // x
static_cast<RealType>(1-0.506365349100973), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(1, 5),
static_cast<RealType>(0.515902251256176)), // x
static_cast<RealType>(1.25), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(2, 2),
static_cast<RealType>(0.385799748780092)), // x
static_cast<RealType>(1.25), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(4, 0.125),
static_cast<RealType>(0.039583424160566)), // x
static_cast<RealType>(3), // probability.
tolerance); // %
/*
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(-2, 0.0001),
static_cast<RealType>(-3)), // x
static_cast<RealType>(0.000015915494296), // probability.
tolerance); // %
*/
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(4, 50),
static_cast<RealType>(0.455724386698215)), // x
static_cast<RealType>(-3), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(-4, 50),
static_cast<RealType>(0.506365349100973)), // x
static_cast<RealType>(-3), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(1, 5),
static_cast<RealType>(1-0.515902251256176))), // x
static_cast<RealType>(1.25), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(2, 2),
static_cast<RealType>(1-0.385799748780092))), // x
static_cast<RealType>(1.25), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(4, 0.125),
static_cast<RealType>(1-0.039583424160566))), // x
static_cast<RealType>(3), // probability.
tolerance); // %
/*
BOOST_CHECK_CLOSE(
::boost::math::quantile(
cauchy_distribution<RealType>(-2, 0.0001),
static_cast<RealType>(-3)), // x
static_cast<RealType>(0.000015915494296), // probability.
tolerance); // %
*/
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(4, 50),
static_cast<RealType>(1-0.455724386698215))), // x
static_cast<RealType>(-3), // probability.
tolerance); // %
BOOST_CHECK_CLOSE(
::boost::math::quantile(
complement(cauchy_distribution<RealType>(-4, 50),
static_cast<RealType>(1-0.506365349100973))), // x
static_cast<RealType>(-3), // probability.
tolerance); // %
cauchy_distribution<RealType> dist; // default (0, 1)
BOOST_CHECK_EQUAL(
mode(dist),
static_cast<RealType>(0));
BOOST_CHECK_EQUAL(
median(dist),
static_cast<RealType>(0));
//
// Things that now don't compile (BOOST-STATIC_ASSERT_FAILURE) by default.
// #define BOOST_MATH_ASSERT_UNDEFINED_POLICY false
// To compile even if Cauchy mean is used.
// See policy reference, mathematically undefined function policies
//
//BOOST_MATH_CHECK_THROW(
// mean(dist),
// std::domain_error);
//BOOST_MATH_CHECK_THROW(
// variance(dist),
// std::domain_error);
//BOOST_MATH_CHECK_THROW(
// standard_deviation(dist),
// std::domain_error);
//BOOST_MATH_CHECK_THROW(
// kurtosis(dist),
// std::domain_error);
//BOOST_MATH_CHECK_THROW(
// kurtosis_excess(dist),
// std::domain_error);
//BOOST_MATH_CHECK_THROW(
// skewness(dist),
// std::domain_error);
BOOST_MATH_CHECK_THROW(
quantile(dist, RealType(0.0)),
std::overflow_error);
BOOST_MATH_CHECK_THROW(
quantile(dist, RealType(1.0)),
std::overflow_error);
BOOST_MATH_CHECK_THROW(
quantile(complement(dist, RealType(0.0))),
std::overflow_error);
BOOST_MATH_CHECK_THROW(
quantile(complement(dist, RealType(1.0))),
std::overflow_error);
check_out_of_range<boost::math::cauchy_distribution<RealType> >(0, 1); // (All) valid constructor parameter values.
} // template <class RealType>void test_spots(RealType)
BOOST_AUTO_TEST_CASE( test_main )
{
BOOST_MATH_CONTROL_FP;
// Check that can generate cauchy distribution using the two convenience methods:
boost::math::cauchy mycd1(1.); // Using typedef
cauchy_distribution<> mycd2(1.); // Using default RealType double.
cauchy_distribution<> C01; // Using default RealType double for Standard Cauchy.
BOOST_CHECK_EQUAL(C01.location(), 0); // Check standard values.
BOOST_CHECK_EQUAL(C01.scale(), 1);
// Basic sanity-check spot values.
// (Parameter value, arbitrarily zero, only communicates the floating point type).
test_spots(0.0F); // Test float. OK at decdigits = 0 tolerance = 0.0001 %
test_spots(0.0); // Test double. OK at decdigits 7, tolerance = 1e07 %
#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS
test_spots(0.0L); // Test long double.
#if !BOOST_WORKAROUND(__BORLANDC__, BOOST_TESTED_AT(0x582))
test_spots(boost::math::concepts::real_concept(0.)); // Test real concept.
#endif
#else
std::cout << "<note>The long double tests have been disabled on this platform "
"either because the long double overloads of the usual math functions are "
"not available at all, or because they are too inaccurate for these tests "
"to pass.</note>" << std::endl;
#endif
} // BOOST_AUTO_TEST_CASE( test_main )
/*
Output:
Running 1 test case...
Tolerance for type float is 0.000596046 %
Tolerance for type double is 1.11022e-012 %
Tolerance for type long double is 1.11022e-012 %
Tolerance for type class boost::math::concepts::real_concept is 1.11022e-012 %
*** No errors detected
*/
Reference in New Issue Copy Permalink