// (C) Copyright John Maddock 2007. // 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 #define BOOST_TEST_MAIN #include #include #include #include #include #include #include #include "functor.hpp" #include "handle_test_result.hpp" #include "table_type.hpp" #ifndef SC_ # define SC_(x) static_cast::type>(BOOST_JOIN(x, L)) #endif template void do_test_cyl_neumann_y(const T& data, const char* type_name, const char* test_name) { #if !(defined(ERROR_REPORTING_MODE) && !defined(BESSEL_Y_FUNCTION_TO_TEST)) typedef Real value_type; typedef value_type (*pg)(value_type, value_type); #ifdef BESSEL_Y_FUNCTION_TO_TEST pg funcp = BESSEL_Y_FUNCTION_TO_TEST; #elif defined(BOOST_MATH_NO_DEDUCED_FUNCTION_POINTERS) pg funcp = boost::math::cyl_neumann; #else pg funcp = boost::math::cyl_neumann; #endif boost::math::tools::test_result result; std::cout << "Testing " << test_name << " with type " << type_name << "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n"; // // test cyl_neumann against data: // result = boost::math::tools::test_hetero( data, bind_func(funcp, 0, 1), extract_result(2)); handle_test_result(result, data[result.worst()], result.worst(), type_name, "cyl_neumann", test_name); std::cout << std::endl; #endif } template T cyl_neumann_int_wrapper(T v, T x) { #ifdef BESSEL_YN_FUNCTION_TO_TEST return static_cast(BESSEL_YN_FUNCTION_TO_TEST(boost::math::itrunc(v), x)); #else return static_cast(boost::math::cyl_neumann(boost::math::itrunc(v), x)); #endif } template void do_test_cyl_neumann_y_int(const T& data, const char* type_name, const char* test_name) { #if !(defined(ERROR_REPORTING_MODE) && !defined(BESSEL_YN_FUNCTION_TO_TEST)) typedef Real value_type; typedef value_type (*pg)(value_type, value_type); #if defined(BOOST_MATH_NO_DEDUCED_FUNCTION_POINTERS) pg funcp = cyl_neumann_int_wrapper; #else pg funcp = cyl_neumann_int_wrapper; #endif boost::math::tools::test_result result; std::cout << "Testing " << test_name << " with type " << type_name << "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n"; // // test cyl_neumann against data: // result = boost::math::tools::test_hetero( data, bind_func(funcp, 0, 1), extract_result(2)); handle_test_result(result, data[result.worst()], result.worst(), type_name, "cyl_neumann (integer orders)", test_name); std::cout << std::endl; #endif } template void do_test_sph_neumann_y(const T& data, const char* type_name, const char* test_name) { #if !(defined(ERROR_REPORTING_MODE) && !defined(BESSEL_YS_FUNCTION_TO_TEST)) typedef Real value_type; typedef value_type (*pg)(unsigned, value_type); #ifdef BESSEL_YS_FUNCTION_TO_TEST pg funcp = BESSEL_YS_FUNCTION_TO_TEST; #elif defined(BOOST_MATH_NO_DEDUCED_FUNCTION_POINTERS) pg funcp = boost::math::sph_neumann; #else pg funcp = boost::math::sph_neumann; #endif boost::math::tools::test_result result; std::cout << "Testing " << test_name << " with type " << type_name << "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n"; // // test sph_neumann against data: // result = boost::math::tools::test_hetero( data, bind_func_int1(funcp, 0, 1), extract_result(2)); handle_test_result(result, data[result.worst()], result.worst(), type_name, "sph_neumann", test_name); std::cout << std::endl; #endif } template void test_bessel(T, const char* name) { using std::ldexp; // // 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/ static const std::array::type, 3>, 9> y0_data = {{ {{ SC_(0.0), SC_(1.0), SC_(0.0882569642156769579829267660235151628278175230906755467110438) }}, {{ SC_(0.0), SC_(2.0), SC_(0.510375672649745119596606592727157873268139227085846135571839) }}, {{ SC_(0.0), SC_(4.0), SC_(-0.0169407393250649919036351344471532182404925898980149027169321) }}, {{ SC_(0.0), SC_(8.0), SC_(0.223521489387566220527323400498620359274814930781423577578334) }}, {{ SC_(0.0), SC_(1e-05), SC_(-7.40316028370197013259676050746759072070960287586102867247159) }}, {{ SC_(0.0), SC_(1e-10), SC_(-14.7325162726972420426916696426209144888762342592762415255386) }}, {{ SC_(0.0), SC_(1e-20), SC_(-29.3912282502857968601858410375186700783698345615477536431464) }}, {{ SC_(0.0), SC_(1e+03), SC_(0.00471591797762281339977326146566525500985900489680197718528000) }}, {{ SC_(0.0), SC_(1e+05), SC_(0.00184676615886506410434074102431546125884886798090392516843524) }} }}; static const std::array::type, 3>, 9> y1_data = {{ {{ SC_(1.0), SC_(1.0), SC_(-0.781212821300288716547150000047964820549906390716444607843833) }}, {{ SC_(1.0), SC_(2.0), SC_(-0.107032431540937546888370772277476636687480898235053860525795) }}, {{ SC_(1.0), SC_(4.0), SC_(0.397925710557100005253979972450791852271189181622908340876586) }}, {{ SC_(1.0), SC_(8.0), SC_(-0.158060461731247494255555266187483550327344049526705737651263) }}, {{ SC_(1.0), SC_(1e-10), SC_(-6.36619772367581343150789184284462611709080831190542841855708e9) }}, {{ SC_(1.0), SC_(1e-20), SC_(-6.36619772367581343075535053490057448139324059868649274367256e19) }}, {{ SC_(1.0), SC_(1e+01), SC_(0.249015424206953883923283474663222803260416543069658461246944) }}, {{ SC_(1.0), SC_(1e+03), SC_(-0.0247843312923517789148623560971412909386318548648705287583490) }}, {{ SC_(1.0), SC_(1e+05), SC_(0.00171921035008825630099494523539897102954509504993494957572726) }} }}; static const std::array::type, 3>, 10> yn_data = {{ {{ SC_(2.0), SC_(1e-20), SC_(-1.27323954473516268615107010698011489627570899691226996904849e40) }}, {{ SC_(5.0), SC_(10.0), SC_(0.135403047689362303197029014762241709088405766746419538495983) }}, {{ SC_(-5.0), SC_(1e+06), SC_(0.000331052088322609048503535570014688967096938338061796192422114) }}, {{ SC_(10.0), SC_(10.0), SC_(-0.359814152183402722051986577343560609358382147846904467526222) }}, {{ SC_(10.0), SC_(1e-10), SC_(-1.18280490494334933900960937719565669877576135140014365217993e108) }}, {{ SC_(-10.0), SC_(1e+06), SC_(0.000725951969295187086245251366365393653610914686201194434805730) }}, {{ SC_(1e+02), SC_(5.0), SC_(-5.08486391602022287993091563093082035595081274976837280338134e115) }}, {{ SC_(1e+03), SC_(1e+05), SC_(0.00217254919137684037092834146629212647764581965821326561261181) }}, {{ SC_(-1e+03), SC_(7e+02), SC_(-1.88753109980945889960843803284345261796244752396992106755091e77) }}, {{ SC_(-25.0), SC_(8.0), SC_(3.45113613777297661997458045843868931827873456761831907587263e8) }} }}; static const std::array::type, 3>, 11> yv_data = {{ //SC_(2.25), {{ SC_(1.0) / 1024, SC_(-1.01759203636941035147948317764932151601257765988969544340275e7) }}, {{ SC_(0.5), SC_(9.5367431640625e-7) /* 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_(-10.0002994537353515625) /* -10486074 / (1024*1024)*/, SC_(0.0009765625) /*1/1024*/, SC_(-1.50382374389531766117868938966858995093408410498915220070230e38) }}, {{ SC_(-10.0002994537353515625) /* -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) }}, {{ SC_(8.5), SC_(12.56637061435917295385057353311801153678867759750042328389) /*4Pi*/, SC_(0.257086543428224355151772807588810984369026142375675714560864) }}, {{ SC_(-8.5), SC_(12.56637061435917295385057353311801153678867759750042328389) /*4Pi*/, SC_(0.0436807946352780974532519564114026730332781693877984686758680) }}, }}; static const std::array::type, 3>, 7> yv_large_data = {{ // Bug report https://svn.boost.org/trac/boost/ticket/5560: {{ SC_(0.5), SC_(1.24589936888719594193883785188809317368782599380894e-206) /*static_cast(std::ldexp(0.5, -683))*/, SC_(-7.14823099969225685526188875418476476336424046896822867989728e102) }}, {{ SC_(-0.5), SC_(1.24589936888719594193883785188809317368782599380894e-206) /*static_cast(std::ldexp(0.5, -683))*/, SC_(8.90597649117647254543282704099383321071493400182381039079219e-104) }}, {{ SC_(0.0), SC_(1.1102230246251565404236316680908203125e-16) /*static_cast(std::ldexp(1.0, -53))*/, SC_(-23.4611779112897561252987257324561640034037313549011724328997) }}, {{ SC_(1.0), SC_(1.1102230246251565404236316680908203125e-16) /*static_cast(std::ldexp(1.0, -53))*/, SC_(-5.73416113922265864550047623401604244038331542638719289100990e15) }}, {{ SC_(2.0), SC_(1.1102230246251565404236316680908203125e-16) /*static_cast(std::ldexp(1.0, -53))*/, SC_(-1.03297463879542177245046832533417970379386617249046560049244e32) }}, {{ SC_(3.0), SC_(1.1102230246251565404236316680908203125e-16) /*static_cast(std::ldexp(1.0, -53))*/, SC_(-3.72168335868978735639260528876490232745489151562358712422544e48) }}, {{ SC_(10.0), SC_(1.1102230246251565404236316680908203125e-16) /*static_cast(std::ldexp(1.0, -53))*/, SC_(-4.15729476804920974669173904282420477878640623992500096231384e167) }}, }}; 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"); if(static_cast(yv_large_data[0][1]) != 0) do_test_cyl_neumann_y(yv_large_data, name, "Yv: Mathworld Data (large values)"); #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"); // // Additional test coverage: // BOOST_IF_CONSTEXPR (std::numeric_limits::has_infinity) { BOOST_CHECK_EQUAL(boost::math::cyl_neumann(T(0), T(0)), -std::numeric_limits::infinity()); BOOST_CHECK_EQUAL(boost::math::sph_neumann(2, boost::math::tools::min_value() * 1.5f), -std::numeric_limits::infinity()); T small = 5.69289e-1645L; if ((small != 0) && (std::numeric_limits::max_exponent10 < 4933)) { BOOST_CHECK_EQUAL(boost::math::sph_neumann(2, small), -std::numeric_limits::infinity()); } BOOST_IF_CONSTEXPR (std::numeric_limits::max_exponent <= 1024) { BOOST_CHECK_EQUAL(boost::math::cyl_neumann(T(121.25), T(0.25)), -std::numeric_limits::infinity()); } BOOST_CHECK_EQUAL(boost::math::cyl_neumann(T(0), std::numeric_limits::infinity()), T(0)); BOOST_CHECK_EQUAL(boost::math::cyl_neumann(T(1), std::numeric_limits::infinity()), T(0)); BOOST_CHECK_EQUAL(boost::math::cyl_neumann(T(2), std::numeric_limits::infinity()), T(0)); BOOST_CHECK_EQUAL(boost::math::cyl_neumann(T(2.25), std::numeric_limits::infinity()), T(0)); BOOST_CHECK_EQUAL(boost::math::sph_neumann(0, std::numeric_limits::infinity()), T(0)); BOOST_CHECK_EQUAL(boost::math::sph_neumann(1, std::numeric_limits::infinity()), T(0)); BOOST_CHECK_EQUAL(boost::math::sph_neumann(2, std::numeric_limits::infinity()), T(0)); } #ifndef BOOST_MATH_NO_EXCEPTIONS BOOST_CHECK_THROW(boost::math::cyl_neumann(T(0), T(-1)), std::domain_error); BOOST_CHECK_THROW(boost::math::cyl_neumann(T(0.2), T(-1)), std::domain_error); BOOST_CHECK_THROW(boost::math::cyl_neumann(T(2), T(0)), std::domain_error); BOOST_CHECK_THROW(boost::math::sph_neumann(2, T(-2)), std::domain_error); #endif #if LDBL_MAX_EXP > 1024 if (std::numeric_limits::max_exponent > 1024) { T tolerance = std::numeric_limits::epsilon() * 1000; BOOST_CHECK_CLOSE_FRACTION(boost::math::cyl_neumann(T(121.25), T(0.25)), SC_(-2.230082612409607659174017669618188190008214736253939486007e308), tolerance); } #endif BOOST_IF_CONSTEXPR(std::numeric_limits::has_infinity && (std::numeric_limits::min_exponent < -1072)) { const std::array, 7> coverage_data = { { #if (LDBL_MAX_10_EXP > 4931) || defined(TEST_MPF_50) || defined(TEST_MPFR_50) || defined(TEST_CPP_DEC_FLOAT) || defined(TEST_FLOAT128) || defined(TEST_CPP_BIN_FLOAT) {{ SC_(15.25), ldexp(T(1), -1071), SC_(-9.39553199265929955912687892204143267985847111378392154596e4931)}}, #else {{ SC_(15.25), ldexp(T(1), -1071), -std::numeric_limits::infinity() }}, #endif #if (LDBL_MAX_10_EXP > 4945) || defined(TEST_MPF_50) || defined(TEST_MPFR_50) || defined(TEST_CPP_DEC_FLOAT) || defined(TEST_FLOAT128) || defined(TEST_CPP_BIN_FLOAT) {{ SC_(15.25), ldexp(T(1), -1074), SC_(-5.5596016779885068307086343979332299344658725430873e+4945)}}, #else {{ SC_(15.25), ldexp(T(1), -1074), -std::numeric_limits::infinity() }}, #endif #if (LDBL_MAX_10_EXP > 9872) || defined(TEST_MPF_50) || defined(TEST_MPFR_50) || defined(TEST_CPP_DEC_FLOAT) || defined(TEST_FLOAT128) || defined(TEST_CPP_BIN_FLOAT) {{ SC_(31.25), ldexp(T(1), -1045), SC_(-1.64443614527479263825137492596041426343778386094212520006e9872)}}, #else {{ SC_(31.25), ldexp(T(1), -1045), -std::numeric_limits::infinity() }}, #endif #if defined(TEST_MPF_50) || defined(TEST_MPFR_50) || defined(TEST_CPP_DEC_FLOAT) || defined(TEST_FLOAT128) || defined(TEST_CPP_BIN_FLOAT) // Our exponent range may be so extreme that we can't trigger the coverage cases below, so use a copy of previous cases here // as a placeholder. {{ SC_(15.25), ldexp(T(1), -1071), SC_(-9.39553199265929955912687892204143267985847111378392154596e4931)}}, {{ SC_(15.25), ldexp(T(1), -1071), SC_(-9.39553199265929955912687892204143267985847111378392154596e4931)}}, #else {{ SC_(233.0), ldexp(T(1), -63), -std::numeric_limits::infinity() }}, {{ SC_(233.0), ldexp(T(1), -64), -std::numeric_limits::infinity() }}, #endif #if (LDBL_MAX_10_EXP > 413) || defined(TEST_MPF_50) || defined(TEST_MPFR_50) || defined(TEST_CPP_DEC_FLOAT) || defined(TEST_FLOAT128) || defined(TEST_CPP_BIN_FLOAT) {{ SC_(200.25), SC_(1.25), SC_(-3.545198572052800784992190965856441074217589237581037286156e413)}}, #else {{ SC_(200.25), SC_(1.25), -std::numeric_limits::infinity()}}, #endif #if defined(TEST_MPF_50) || defined(TEST_MPFR_50) || defined(TEST_CPP_DEC_FLOAT) || defined(TEST_FLOAT128) || defined(TEST_CPP_BIN_FLOAT) // Our exponent range may be so extreme that we can't trigger the coverage cases below, so use a copy of previous cases here // as a placeholder. {{ SC_(15.25), ldexp(T(1), -1071), SC_(-9.39553199265929955912687892204143267985847111378392154596e4931)}}, #else {{ SC_(1652.25), SC_(1.25), -std::numeric_limits::infinity()}}, #endif } }; do_test_cyl_neumann_y(coverage_data, name, "Extra Coverage Data"); } }