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// Copyright John Maddock 2006.
// Copyright Paul A. Bristow 2007, 2009
// 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)
#define BOOST_MATH_OVERFLOW_ERROR_POLICY ignore_error
#include <boost/math/concepts/real_concept.hpp>
#include <boost/math/special_functions/math_fwd.hpp>
#include <boost/test/test_exec_monitor.hpp>
#include <boost/test/results_collector.hpp>
#include <boost/test/unit_test.hpp>
#include <boost/test/floating_point_comparison.hpp>
#include <boost/math/tools/stats.hpp>
#include <boost/math/tools/test.hpp>
#include <boost/math/constants/constants.hpp>
#include <boost/type_traits/is_floating_point.hpp>
#include <boost/array.hpp>
#include "functor.hpp"
#include "table_type.hpp"
#include "handle_test_result.hpp"
#ifndef SC_
#define SC_(x) static_cast<typename table_type<T>::type>(BOOST_JOIN(x, L))
#endif
#define BOOST_CHECK_CLOSE_EX(a, b, prec, i) \
{\
unsigned int failures = boost::unit_test::results_collector.results( boost::unit_test::framework::current_test_case().p_id ).p_assertions_failed;\
BOOST_CHECK_CLOSE(a, b, prec); \
if(failures != boost::unit_test::results_collector.results( boost::unit_test::framework::current_test_case().p_id ).p_assertions_failed)\
{\
std::cerr << "Failure was at row " << i << std::endl;\
std::cerr << std::setprecision(35); \
std::cerr << "{ " << data[i][0] << " , " << data[i][1] << " , " << data[i][2];\
std::cerr << " , " << data[i][3] << " , " << data[i][4] << " , " << data[i][5] << " } " << std::endl;\
}\
}
template <class Real, class T>
void do_test_gamma_2(const T& data, const char* type_name, const char* test_name)
{
//
// test gamma_p_inva(T, T) against data:
//
using namespace std;
typedef typename T::value_type row_type;
typedef Real value_type;
std::cout << test_name << " with type " << type_name << std::endl;
//
// These sanity checks test for a round trip accuracy of one half
// of the bits in T, unless T is type float, in which case we check
// for just one decimal digit. The problem here is the sensitivity
// of the functions, not their accuracy. This test data was generated
// for the forward functions, which means that when it is used as
// the input to the inverses then it is necessarily inexact. This rounding
// of the input is what makes the data unsuitable for use as an accuracy check,
// and also demonstrates that you can't in general round-trip these functions.
// It is however a useful sanity check.
//
value_type precision = static_cast<value_type>(ldexp(1.0, 1-boost::math::policies::digits<value_type, boost::math::policies::policy<> >()/2)) * 100;
if(boost::math::policies::digits<value_type, boost::math::policies::policy<> >() < 50)
precision = 1; // 1% or two decimal digits, all we can hope for when the input is truncated to float
for(unsigned i = 0; i < data.size(); ++i)
{
//
// These inverse tests are thrown off if the output of the
// incomplete gamma is too close to 1: basically there is insuffient
// information left in the value we're using as input to the inverse
// to be able to get back to the original value.
//
if(Real(data[i][5]) == 0)
BOOST_CHECK_EQUAL(boost::math::gamma_p_inva(Real(data[i][1]), Real(data[i][5])), boost::math::tools::max_value<value_type>());
else if((1 - Real(data[i][5]) > 0.001) && (fabs(Real(data[i][5])) > 2 * boost::math::tools::min_value<value_type>()))
{
value_type inv = boost::math::gamma_p_inva(Real(data[i][1]), Real(data[i][5]));
BOOST_CHECK_CLOSE_EX(Real(data[i][0]), inv, precision, i);
}
else if(1 == Real(data[i][5]))
BOOST_CHECK_EQUAL(boost::math::gamma_p_inva(Real(data[i][1]), Real(data[i][5])), boost::math::tools::min_value<value_type>());
else if(Real(data[i][5]) > 2 * boost::math::tools::min_value<value_type>())
{
// not enough bits in our input to get back to x, but we should be in
// the same ball park:
value_type inv = boost::math::gamma_p_inva(Real(data[i][1]), Real(data[i][5]));
BOOST_CHECK_CLOSE_EX(Real(data[i][0]), inv, 100, i);
}
if(Real(data[i][3]) == 0)
BOOST_CHECK_EQUAL(boost::math::gamma_q_inva(Real(data[i][1]), Real(data[i][3])), boost::math::tools::min_value<value_type>());
else if((1 - Real(data[i][3]) > 0.001)
&& (fabs(Real(data[i][3])) > 2 * boost::math::tools::min_value<value_type>())
&& (fabs(Real(data[i][3])) > 2 * boost::math::tools::min_value<double>()))
{
value_type inv = boost::math::gamma_q_inva(Real(data[i][1]), Real(data[i][3]));
BOOST_CHECK_CLOSE_EX(Real(data[i][0]), inv, precision, i);
}
else if(1 == Real(data[i][3]))
BOOST_CHECK_EQUAL(boost::math::gamma_q_inva(Real(data[i][1]), Real(data[i][3])), boost::math::tools::max_value<value_type>());
else if(Real(data[i][3]) > 2 * boost::math::tools::min_value<value_type>())
{
// not enough bits in our input to get back to x, but we should be in
// the same ball park:
value_type inv = boost::math::gamma_q_inva(Real(data[i][1]), Real(data[i][3]));
BOOST_CHECK_CLOSE_EX(Real(data[i][0]), inv, 100, i);
}
}
std::cout << std::endl;
}
template <class Real, class T>
void do_test_gamma_inva(const T& data, const char* type_name, const char* test_name)
{
typedef typename T::value_type row_type;
typedef Real value_type;
typedef value_type (*pg)(value_type, value_type);
#if defined(BOOST_MATH_NO_DEDUCED_FUNCTION_POINTERS)
pg funcp = boost::math::gamma_p_inva<value_type, value_type>;
#else
pg funcp = boost::math::gamma_p_inva;
#endif
boost::math::tools::test_result<value_type> result;
std::cout << "Testing " << test_name << " with type " << type_name
<< "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n";
//
// test gamma_p_inva(T, T) against data:
//
result = boost::math::tools::test_hetero<Real>(
data,
bind_func<Real>(funcp, 0, 1),
extract_result<Real>(2));
handle_test_result(result, data[result.worst()], result.worst(), type_name, "boost::math::gamma_p_inva", test_name);
//
// test gamma_q_inva(T, T) against data:
//
#if defined(BOOST_MATH_NO_DEDUCED_FUNCTION_POINTERS)
funcp = boost::math::gamma_q_inva<value_type, value_type>;
#else
funcp = boost::math::gamma_q_inva;
#endif
result = boost::math::tools::test_hetero<Real>(
data,
bind_func<Real>(funcp, 0, 1),
extract_result<Real>(3));
handle_test_result(result, data[result.worst()], result.worst(), type_name, "boost::math::gamma_q_inva", test_name);
}
template <class T>
void test_gamma(T, const char* name)
{
#ifndef TEST_UDT
//
// The actual test data is rather verbose, so it's in a separate file
//
// First the data for the incomplete gamma function, each
// row has the following 6 entries:
// Parameter a, parameter z,
// Expected tgamma(a, z), Expected gamma_q(a, z)
// Expected tgamma_lower(a, z), Expected gamma_p(a, z)
//
# include "igamma_med_data.ipp"
do_test_gamma_2<T>(igamma_med_data, name, "Running round trip sanity checks on incomplete gamma medium sized values");
# include "igamma_small_data.ipp"
do_test_gamma_2<T>(igamma_small_data, name, "Running round trip sanity checks on incomplete gamma small values");
# include "igamma_big_data.ipp"
do_test_gamma_2<T>(igamma_big_data, name, "Running round trip sanity checks on incomplete gamma large values");
#endif
# include "igamma_inva_data.ipp"
do_test_gamma_inva<T>(igamma_inva_data, name, "Incomplete gamma inverses.");
}
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