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📄 test_igamma_inv.cpp

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//  (C) Copyright John Maddock 2006.//  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)#include <boost/math/concepts/real_concept.hpp>#include <boost/math/special_functions/gamma.hpp>#include <boost/test/included/test_exec_monitor.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 "test_gamma_hooks.hpp"#include "handle_test_result.hpp"#if !defined(TEST_FLOAT) && !defined(TEST_DOUBLE) && !defined(TEST_LDOUBLE) && !defined(TEST_REAL_CONCEPT)#  define TEST_FLOAT#  define TEST_DOUBLE#  define TEST_LDOUBLE#  define TEST_REAL_CONCEPT#endif//// DESCRIPTION:// ~~~~~~~~~~~~//// This file tests the incomplete gamma function inverses // gamma_p_inv and gamma_q_inv. There are three sets of tests:// 1) Spot tests which compare our results with selected values // computed using the online special function calculator at // functions.wolfram.com, // 2) Accuracy tests use values generated with NTL::RR at // 1000-bit precision and our generic versions of these functions.// 3) Round trip sanity checks, use the test data for the forward// functions, and verify that we can get (approximately) back// where we started.//// Note that when this file is first run on a new platform many of// these tests will fail: the default accuracy is 1 epsilon which// is too tight for most platforms.  In this situation you will // need to cast a human eye over the error rates reported and make// a judgement as to whether they are acceptable.  Either way please// report the results to the Boost mailing list.  Acceptable rates of// error are marked up below as a series of regular expressions that// identify the compiler/stdlib/platform/data-type/test-data/test-function// along with the maximum expected peek and RMS mean errors for that// test.//void expected_results(){   //   // Define the max and mean errors expected for   // various compilers and platforms.   //   const char* largest_type;#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS   if(boost::math::policies::digits<double, boost::math::policies::policy<> >() == boost::math::policies::digits<long double, boost::math::policies::policy<> >())   {      largest_type = "(long\\s+)?double";   }   else   {      largest_type = "long double";   }#else   largest_type = "(long\\s+)?double";#endif   //   // Large exponent range causes more extreme test cases to be evaluated:   //   if(std::numeric_limits<long double>::max_exponent > std::numeric_limits<double>::max_exponent)   {      add_expected_result(         "[^|]*",                          // compiler         "[^|]*",                          // stdlib         "[^|]*",                          // platform         largest_type,                     // test type(s)         "[^|]*small[^|]*",                    // test data group         "[^|]*", 200000, 10000);              // test function      add_expected_result(         "[^|]*",                          // compiler         "[^|]*",                          // stdlib         "[^|]*",                          // platform         "real_concept",                     // test type(s)         "[^|]*small[^|]*",                   // test data group         "[^|]*", 70000, 8000);                  // test function   }   //   // These high error rates are seen on on some Linux   // architectures:   //   add_expected_result(      "[^|]*",                          // compiler      "[^|]*",                          // stdlib      "linux.*",                          // platform      largest_type,                     // test type(s)      "[^|]*medium[^|]*",                   // test data group      "[^|]*", 350, 5);                  // test function   add_expected_result(      "[^|]*",                          // compiler      "[^|]*",                          // stdlib      "linux.*",                          // platform      largest_type,                     // test type(s)      "[^|]*large[^|]*",                   // test data group      "[^|]*", 150, 5);                  // test function   //   // Catch all cases come last:   //   add_expected_result(      "[^|]*",                          // compiler      "[^|]*",                          // stdlib      "[^|]*",                          // platform      largest_type,                     // test type(s)      "[^|]*medium[^|]*",                   // test data group      "[^|]*", 20, 5);                  // test function   add_expected_result(      "[^|]*",                          // compiler      "[^|]*",                          // stdlib      "[^|]*",                          // platform      largest_type,                     // test type(s)      "[^|]*large[^|]*",                    // test data group      "[^|]*", 5, 2);                   // test function   add_expected_result(      "[^|]*",                          // compiler      "[^|]*",                          // stdlib      "[^|]*",                          // platform      largest_type,                     // test type(s)      "[^|]*small[^|]*",                    // test data group      "[^|]*", 2100, 500);              // test function   add_expected_result(      "[^|]*",                          // compiler      "[^|]*",                          // stdlib      "[^|]*",                          // platform      "float|double",                   // test type(s)      "[^|]*small[^|]*",                    // test data group      "boost::math::gamma_p_inv", 500, 60);   // test function   add_expected_result(      "[^|]*",                          // compiler      "[^|]*",                          // stdlib      "[^|]*",                          // platform      "float|double",                   // test type(s)      "[^|]*",                          // test data group      "boost::math::gamma_q_inv", 350, 60);   // test function   add_expected_result(      "[^|]*",                          // compiler      "[^|]*",                          // stdlib      "[^|]*",                          // platform      "float|double",                   // test type(s)      "[^|]*",                          // test data group      "[^|]*", 4, 2);                   // test function   add_expected_result(      "[^|]*",                          // compiler      "[^|]*",                          // stdlib      "[^|]*",                          // platform      "real_concept",                     // test type(s)      "[^|]*medium[^|]*",                   // test data group      "[^|]*", 20, 5);                  // test function   add_expected_result(      "[^|]*",                          // compiler      "[^|]*",                          // stdlib      "[^|]*",                          // platform      "real_concept",                     // test type(s)      "[^|]*large[^|]*",                   // test data group      "[^|]*", 1000, 500);                  // test function   add_expected_result(      "[^|]*",                          // compiler      "[^|]*",                          // stdlib      "[^|]*",                          // platform      "real_concept",                     // test type(s)      "[^|]*small[^|]*",                   // test data group      "[^|]*", 3700, 500);                  // test function   //   // Finish off by printing out the compiler/stdlib/platform names,   // we do this to make it easier to mark up expected error rates.   //   std::cout << "Tests run with " << BOOST_COMPILER << ", "       << BOOST_STDLIB << ", " << BOOST_PLATFORM << std::endl;}#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 T>void do_test_gamma_2(const T& data, const char* type_name, const char* test_name){   //   // test gamma_p_inv(T, T) against data:   //   using namespace std;   typedef typename T::value_type row_type;   typedef typename row_type::value_type 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.

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