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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 18:45:59 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 18:45:59 +0000 |
commit | 19fcec84d8d7d21e796c7624e521b60d28ee21ed (patch) | |
tree | 42d26aa27d1e3f7c0b8bd3fd14e7d7082f5008dc /src/boost/libs/math/test/test_igamma_inva.hpp | |
parent | Initial commit. (diff) | |
download | ceph-upstream.tar.xz ceph-upstream.zip |
Adding upstream version 16.2.11+ds.upstream/16.2.11+dsupstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'src/boost/libs/math/test/test_igamma_inva.hpp')
-rw-r--r-- | src/boost/libs/math/test/test_igamma_inva.hpp | 192 |
1 files changed, 192 insertions, 0 deletions
diff --git a/src/boost/libs/math/test/test_igamma_inva.hpp b/src/boost/libs/math/test/test_igamma_inva.hpp new file mode 100644 index 000000000..402ea2f8b --- /dev/null +++ b/src/boost/libs/math/test/test_igamma_inva.hpp @@ -0,0 +1,192 @@ +// 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> +#define BOOST_TEST_MAIN +#include <boost/test/unit_test.hpp> +#include <boost/test/results_collector.hpp> +#include <boost/test/unit_test.hpp> +#include <boost/test/tools/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 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])), std::numeric_limits<value_type>::has_infinity ? std::numeric_limits<value_type>::infinity() : 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])), std::numeric_limits<value_type>::has_infinity ? std::numeric_limits<value_type>::infinity() : 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) +{ +#if !(defined(ERROR_REPORTING_MODE) && !defined(GAMMAP_INVA_FUNCTION_TO_TEST)) + typedef Real value_type; + + typedef value_type (*pg)(value_type, value_type); +#ifdef GAMMAP_INVA_FUNCTION_TO_TEST + pg funcp = GAMMAP_INVA_FUNCTION_TO_TEST; +#elif 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, "gamma_p_inva", test_name); + // + // test gamma_q_inva(T, T) against data: + // +#ifdef GAMMAQ_INVA_FUNCTION_TO_TEST + funcp = GAMMAQ_INVA_FUNCTION_TO_TEST; +#elif 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, "gamma_q_inva", test_name); +#endif +} + +template <class T> +void test_gamma(T, const char* name) +{ +#if !defined(TEST_UDT) && !defined(ERROR_REPORTING_MODE) + // + // 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."); +} + |