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📄 test_bessel_y.cpp

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      ".*",                          // compiler      ".*",                          // stdlib      ".*",                          // platform      largest_type,                  // test type(s)      ".*",                          // test data group      ".*", 60, 40);                 // 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_cyl_neumann_y(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, value_type);#if defined(BOOST_MATH_NO_DEDUCED_FUNCTION_POINTERS)   pg funcp = boost::math::cyl_neumann<value_type, value_type>;#else   pg funcp = boost::math::cyl_neumann;#endif   boost::math::tools::test_result<value_type> result;   std::cout << "Testing " << test_name << " with type " << type_name      << "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n";   //   // test cyl_neumann against data:   //   result = boost::math::tools::test(      data,       bind_func(funcp, 0, 1),       extract_result(2));   handle_test_result(result, data[result.worst()], result.worst(), type_name, "boost::math::cyl_neumann", test_name);   std::cout << std::endl;#ifdef TEST_OTHER   if(boost::is_floating_point<value_type>::value)   {      funcp = other::cyl_neumann;      //      // test other::cyl_neumann against data:      //      result = boost::math::tools::test(         data,          bind_func(funcp, 0, 1),          extract_result(2));      handle_test_result(result, data[result.worst()], result.worst(), type_name, "other::cyl_neumann", test_name);      std::cout << std::endl;   }#endif}template <class T>T cyl_neumann_int_wrapper(T v, T x){   return static_cast<T>(boost::math::cyl_neumann(boost::math::itrunc(v), x));}template <class T>void do_test_cyl_neumann_y_int(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, value_type);#if defined(BOOST_MATH_NO_DEDUCED_FUNCTION_POINTERS)   pg funcp = cyl_neumann_int_wrapper<value_type>;#else   pg funcp = cyl_neumann_int_wrapper;#endif   boost::math::tools::test_result<value_type> result;   std::cout << "Testing " << test_name << " with type " << type_name      << "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n";   //   // test cyl_neumann against data:   //   result = boost::math::tools::test(      data,       bind_func(funcp, 0, 1),       extract_result(2));   handle_test_result(result, data[result.worst()], result.worst(), type_name, "boost::math::cyl_neumann", test_name);   std::cout << std::endl;}template <class T>void do_test_sph_neumann_y(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)(unsigned, value_type);#if defined(BOOST_MATH_NO_DEDUCED_FUNCTION_POINTERS)   pg funcp = boost::math::sph_neumann<value_type>;#else   pg funcp = boost::math::sph_neumann;#endif   typedef int (*cast_t)(value_type);   boost::math::tools::test_result<value_type> result;   std::cout << "Testing " << test_name << " with type " << type_name      << "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n";   //   // test sph_neumann against data:   //   result = boost::math::tools::test(      data,       bind_func_int1(funcp, 0, 1),       extract_result(2));   handle_test_result(result, data[result.worst()], result.worst(), type_name, "boost::math::cyl_neumann", test_name);   std::cout << std::endl;}template <class T>void test_bessel(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 a, input value b and erf(a, b):   //     // function values calculated on http://functions.wolfram.com/    #define SC_(x) static_cast<T>(BOOST_JOIN(x, L))    static const boost::array<boost::array<T, 3>, 9> y0_data = {{        SC_(0), SC_(1), SC_(0.0882569642156769579829267660235151628278175230906755467110438),        SC_(0), SC_(2), SC_(0.510375672649745119596606592727157873268139227085846135571839),        SC_(0), SC_(4), SC_(-0.0169407393250649919036351344471532182404925898980149027169321),        SC_(0), SC_(8), SC_(0.223521489387566220527323400498620359274814930781423577578334),        SC_(0), SC_(1e-05), SC_(-7.40316028370197013259676050746759072070960287586102867247159),        SC_(0), SC_(1e-10), SC_(-14.7325162726972420426916696426209144888762342592762415255386),        SC_(0), SC_(1e-20), SC_(-29.3912282502857968601858410375186700783698345615477536431464),        SC_(0), SC_(1e+03), SC_(0.00471591797762281339977326146566525500985900489680197718528000),        SC_(0), SC_(1e+05), SC_(0.00184676615886506410434074102431546125884886798090392516843524)    }};    static const boost::array<boost::array<T, 3>, 9> y1_data = {        SC_(1), SC_(1), SC_(-0.781212821300288716547150000047964820549906390716444607843833),        SC_(1), SC_(2), SC_(-0.107032431540937546888370772277476636687480898235053860525795),        SC_(1), SC_(4), SC_(0.397925710557100005253979972450791852271189181622908340876586),        SC_(1), SC_(8), SC_(-0.158060461731247494255555266187483550327344049526705737651263),        SC_(1), SC_(1e-10), SC_(-6.36619772367581343150789184284462611709080831190542841855708e9),        SC_(1), SC_(1e-20), SC_(-6.36619772367581343075535053490057448139324059868649274367256e19),        SC_(1), SC_(1e+01), SC_(0.249015424206953883923283474663222803260416543069658461246944),        SC_(1), SC_(1e+03), SC_(-0.0247843312923517789148623560971412909386318548648705287583490),        SC_(1), SC_(1e+05), SC_(0.00171921035008825630099494523539897102954509504993494957572726)    };    static const boost::array<boost::array<T, 3>, 9> yn_data = {        SC_(2), SC_(1e-20), SC_(-1.27323954473516268615107010698011489627570899691226996904849e40),        SC_(5), SC_(10), SC_(0.135403047689362303197029014762241709088405766746419538495983),        SC_(-5), SC_(1e+06), SC_(0.000331052088322609048503535570014688967096938338061796192422114),        SC_(10), SC_(10), SC_(-0.359814152183402722051986577343560609358382147846904467526222),        SC_(10), SC_(1e-10), SC_(-1.18280490494334933900960937719565669877576135140014365217993e108),        SC_(-10), SC_(1e+06), SC_(0.000725951969295187086245251366365393653610914686201194434805730),        SC_(1e+02), SC_(5), SC_(-5.08486391602022287993091563093082035595081274976837280338134e115),        SC_(1e+03), SC_(1e+05), SC_(0.00217254919137684037092834146629212647764581965821326561261181),        SC_(-1e+03), SC_(7e+02), SC_(-1.88753109980945889960843803284345261796244752396992106755091e77)    };    static const boost::array<boost::array<T, 3>, 9> yv_data = {        //SC_(2.25), SC_(1) / 1024, SC_(-1.01759203636941035147948317764932151601257765988969544340275e7),        SC_(0.5), SC_(1) / (1024*1024), SC_(-817.033790261762580469303126467917092806755460418223776544122),        SC_(5.5), SC_(3.125), SC_(-2.61489440328417468776474188539366752698192046890955453259866),        SC_(-5.5), SC_(3.125), SC_(-0.0274994493896489729948109971802244976377957234563871795364056),        SC_(-5.5), SC_(1e+04), SC_(-0.00759343502722670361395585198154817047185480147294665270646578),        SC_(-10486074) / (1024*1024), SC_(1)/1024, SC_(-1.50382374389531766117868938966858995093408410498915220070230e38),        SC_(-10486074) / (1024*1024), SC_(1e+02), SC_(0.0583041891319026009955779707640455341990844522293730214223545),        SC_(141.75), SC_(1e+02), SC_(-5.38829231428696507293191118661269920130838607482708483122068e9),        SC_(141.75), SC_(2e+04), SC_(-0.00376577888677186194728129112270988602876597726657372330194186),        SC_(-141.75), SC_(1e+02), SC_(-3.81009803444766877495905954105669819951653361036342457919021e9),    };    do_test_cyl_neumann_y(y0_data, name, "Y0: Mathworld Data");    do_test_cyl_neumann_y(y1_data, name, "Y1: Mathworld Data");    do_test_cyl_neumann_y(yn_data, name, "Yn: Mathworld Data");    do_test_cyl_neumann_y_int(y0_data, name, "Y0: Mathworld Data (Integer Version)");    do_test_cyl_neumann_y_int(y1_data, name, "Y1: Mathworld Data (Integer Version)");    do_test_cyl_neumann_y_int(yn_data, name, "Yn: Mathworld Data (Integer Version)");    do_test_cyl_neumann_y(yv_data, name, "Yv: Mathworld Data");#include "bessel_y01_data.ipp"    do_test_cyl_neumann_y(bessel_y01_data, name, "Y0 and Y1: Random Data");#include "bessel_yn_data.ipp"    do_test_cyl_neumann_y(bessel_yn_data, name, "Yn: Random Data");#include "bessel_yv_data.ipp"    do_test_cyl_neumann_y(bessel_yv_data, name, "Yv: Random Data");#include "sph_neumann_data.ipp"    do_test_sph_neumann_y(sph_neumann_data, name, "y: Random Data");}int test_main(int, char* []){#ifdef TEST_GSL   gsl_set_error_handler_off();#endif   expected_results();   BOOST_MATH_CONTROL_FP;#ifndef BOOST_MATH_BUGGY_LARGE_FLOAT_CONSTANTS   test_bessel(0.1F, "float");#endif   test_bessel(0.1, "double");#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS   test_bessel(0.1L, "long double");#ifndef BOOST_MATH_NO_REAL_CONCEPT_TESTS   test_bessel(boost::math::concepts::real_concept(0.1), "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::cout;#endif   return 0;}

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