📄 test_gamma.cpp
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add_expected_result( ".*", // compiler ".*", // stdlib ".*", // platform "real_concept", // test type(s) "factorials", // test data group "boost::math::tgamma", 70, 25); // test function add_expected_result( ".*", // compiler ".*", // stdlib ".*", // platform "real_concept", // test type(s) "factorials", // test data group "boost::math::lgamma", 40, 4); // test function add_expected_result( ".*", // compiler ".*", // stdlib ".*", // platform "real_concept", // test type(s) "near.*", // test data group "boost::math::tgamma", 80, 60); // test function add_expected_result( ".*", // compiler ".*", // stdlib ".*", // platform "real_concept", // test type(s) "near.*", // test data group "boost::math::lgamma", 10000000, 10000000); // test function add_expected_result( ".*", // compiler ".*", // stdlib ".*", // platform "real_concept", // test type(s) "tgamma1pm1.*", // test data group "boost::math::tgamma1pm1", 20, 5); // 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;}template <class T>void do_test_gamma(const T& data, const char* type_name, const char* test_name){ typedef typename T::value_type row_type; typedef typename row_type::value_type value_type; typedef value_type (*pg)(value_type);#if defined(BOOST_MATH_NO_DEDUCED_FUNCTION_POINTERS) pg funcp = boost::math::tgamma<value_type>;#else pg funcp = boost::math::tgamma;#endif boost::math::tools::test_result<value_type> result; std::cout << "Testing " << test_name << " with type " << type_name << "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n"; // // test tgamma against data: // result = boost::math::tools::test( data, bind_func(funcp, 0), extract_result(1)); handle_test_result(result, data[result.worst()], result.worst(), type_name, "boost::math::tgamma", test_name);#ifdef TEST_OTHER if(::boost::is_floating_point<value_type>::value){ funcp = other::tgamma; result = boost::math::tools::test( data, bind_func(funcp, 0), extract_result(1)); print_test_result(result, data[result.worst()], result.worst(), type_name, "other::tgamma"); }#endif // // test lgamma against data: //#if defined(BOOST_MATH_NO_DEDUCED_FUNCTION_POINTERS) funcp = boost::math::lgamma<value_type>;#else funcp = boost::math::lgamma;#endif result = boost::math::tools::test( data, bind_func(funcp, 0), extract_result(2)); handle_test_result(result, data[result.worst()], result.worst(), type_name, "boost::math::lgamma", test_name);#ifdef TEST_OTHER if(::boost::is_floating_point<value_type>::value){ funcp = other::lgamma; result = boost::math::tools::test( data, bind_func(funcp, 0), extract_result(2)); print_test_result(result, data[result.worst()], result.worst(), type_name, "other::lgamma"); }#endif std::cout << std::endl;}template <class T>void do_test_gammap1m1(const T& data, const char* type_name, const char* test_name){ typedef typename T::value_type row_type; typedef typename row_type::value_type value_type; typedef value_type (*pg)(value_type);#if defined(BOOST_MATH_NO_DEDUCED_FUNCTION_POINTERS) pg funcp = boost::math::tgamma1pm1<value_type>;#else pg funcp = boost::math::tgamma1pm1;#endif boost::math::tools::test_result<value_type> result; std::cout << "Testing " << test_name << " with type " << type_name << "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n"; // // test tgamma1pm1 against data: // result = boost::math::tools::test( data, bind_func(funcp, 0), extract_result(1)); handle_test_result(result, data[result.worst()], result.worst(), type_name, "boost::math::tgamma1pm1", test_name); std::cout << std::endl;}template <class T>void test_gamma(T, const char* name){ // // The actual test data is rather verbose, so it's in a separate file // // The contents are as follows, each row of data contains // three items, input value, gamma and lgamma: // // gamma and lgamma at integer and half integer values: // boost::array<boost::array<T, 3>, N> factorials; // // gamma and lgamma for z near 0: // boost::array<boost::array<T, 3>, N> near_0; // // gamma and lgamma for z near 1: // boost::array<boost::array<T, 3>, N> near_1; // // gamma and lgamma for z near 2: // boost::array<boost::array<T, 3>, N> near_2; // // gamma and lgamma for z near -10: // boost::array<boost::array<T, 3>, N> near_m10; // // gamma and lgamma for z near -55: // boost::array<boost::array<T, 3>, N> near_m55; // // The last two cases are chosen more or less at random, // except that one is even and the other odd, and both are // at negative poles. The data near zero also tests near // a pole, the data near 1 and 2 are to probe lgamma as // the result -> 0. //# include "test_gamma_data.ipp" do_test_gamma(factorials, name, "factorials"); do_test_gamma(near_0, name, "near 0"); do_test_gamma(near_1, name, "near 1"); do_test_gamma(near_2, name, "near 2"); do_test_gamma(near_m10, name, "near -10"); do_test_gamma(near_m55, name, "near -55"); // // And now tgamma1pm1 which computes gamma(1+dz)-1: // do_test_gammap1m1(gammap1m1_data, name, "tgamma1pm1(dz)");}template <class T>void test_spots(T){ // // basic sanity checks, tolerance is 50 epsilon expressed as a percentage: // T tolerance = boost::math::tools::epsilon<T>() * 5000; BOOST_CHECK_CLOSE(::boost::math::tgamma(static_cast<T>(3.5)), static_cast<T>(3.3233509704478425511840640312646472177454052302295L), tolerance); BOOST_CHECK_CLOSE(::boost::math::tgamma(static_cast<T>(0.125)), static_cast<T>(7.5339415987976119046992298412151336246104195881491L), tolerance); BOOST_CHECK_CLOSE(::boost::math::tgamma(static_cast<T>(-0.125)), static_cast<T>(-8.7172188593831756100190140408231437691829605421405L), tolerance); BOOST_CHECK_CLOSE(::boost::math::tgamma(static_cast<T>(-3.125)), static_cast<T>(1.1668538708507675587790157356605097019141636072094L), tolerance); // Lower tolerance on this one, is only really needed on Linux x86 systems, result is mostly down to std lib accuracy: BOOST_CHECK_CLOSE(::boost::math::tgamma(static_cast<T>(-53249.0/1024)), static_cast<T>(-1.2646559519067605488251406578743995122462767733517e-65L), tolerance * 3); int sign = 1; BOOST_CHECK_CLOSE(::boost::math::lgamma(static_cast<T>(3.5), &sign), static_cast<T>(1.2009736023470742248160218814507129957702389154682L), tolerance); BOOST_CHECK(sign == 1); BOOST_CHECK_CLOSE(::boost::math::lgamma(static_cast<T>(0.125), &sign), static_cast<T>(2.0194183575537963453202905211670995899482809521344L), tolerance); BOOST_CHECK(sign == 1); BOOST_CHECK_CLOSE(::boost::math::lgamma(static_cast<T>(-0.125), &sign), static_cast<T>(2.1653002489051702517540619481440174064962195287626L), tolerance); BOOST_CHECK(sign == -1); BOOST_CHECK_CLOSE(::boost::math::lgamma(static_cast<T>(-3.125), &sign), static_cast<T>(0.1543111276840418242676072830970532952413339012367L), tolerance); BOOST_CHECK(sign == 1); BOOST_CHECK_CLOSE(::boost::math::lgamma(static_cast<T>(-53249.0/1024), &sign), static_cast<T>(-149.43323093420259741100038126078721302600128285894L), tolerance); BOOST_CHECK(sign == -1);}int test_main(int, char* []){ expected_results(); BOOST_MATH_CONTROL_FP;#ifndef BOOST_MATH_BUGGY_LARGE_FLOAT_CONSTANTS test_spots(0.0F);#endif test_spots(0.0);#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS test_spots(0.0L); test_spots(boost::math::concepts::real_concept(0.1));#endif#ifndef BOOST_MATH_BUGGY_LARGE_FLOAT_CONSTANTS test_gamma(0.1F, "float");#endif test_gamma(0.1, "double");#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS test_gamma(0.1L, "long double");#ifndef BOOST_MATH_NO_REAL_CONCEPT_TESTS#if !BOOST_WORKAROUND(__BORLANDC__, BOOST_TESTED_AT(0x582)) test_gamma(boost::math::concepts::real_concept(0.1), "real_concept");#endif#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::cout;#endif return 0;}
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