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📄 test_bessel_j.cpp

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      ".*",                          // compiler      ".*",                          // stdlib      ".*",                          // platform      largest_type,                  // test type(s)      ".*",                          // test data group      ".*", 40, 20);                 // 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_bessel_j(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_bessel_j<value_type, value_type>;#else   pg funcp = boost::math::cyl_bessel_j;#endif   boost::math::tools::test_result<value_type> result;   std::cout << "Testing " << test_name << " with type " << type_name      << "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n";   //   // test cyl_bessel_j 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_bessel_j", test_name);   std::cout << std::endl;#ifdef TEST_OTHER   if(boost::is_floating_point<value_type>::value)   {      funcp = other::cyl_bessel_j;      //      // test other::cyl_bessel_j 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_bessel_j", test_name);      std::cout << std::endl;   }#endif}template <class T>T cyl_bessel_j_int_wrapper(T v, T x){   return static_cast<T>(boost::math::cyl_bessel_j(boost::math::itrunc(v), x));}template <class T>void do_test_cyl_bessel_j_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_bessel_j_int_wrapper<value_type>;#else   pg funcp = cyl_bessel_j_int_wrapper;#endif   boost::math::tools::test_result<value_type> result;   std::cout << "Testing " << test_name << " with type " << type_name      << "\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n";   //   // test cyl_bessel_j 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_bessel_j", test_name);   std::cout << std::endl;}template <class T>void do_test_sph_bessel_j(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_bessel<value_type>;#else   pg funcp = boost::math::sph_bessel;#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_bessel 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::sph_bessel", 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>, 8> j0_data = {{        { SC_(0), SC_(0), SC_(1) },        { SC_(0), SC_(1), SC_(0.7651976865579665514497175261026632209093) },        { SC_(0), SC_(-2), SC_(0.2238907791412356680518274546499486258252) },        { SC_(0), SC_(4), SC_(-0.3971498098638473722865907684516980419756) },        { SC_(0), SC_(-8), SC_(0.1716508071375539060908694078519720010684) },        { SC_(0), SC_(1e-05), SC_(0.999999999975000000000156249999999565972) },        { SC_(0), SC_(1e-10), SC_(0.999999999999999999997500000000000000000) },        { SC_(0), SC_(-1e+01), SC_(-0.2459357644513483351977608624853287538296) },    }};    static const boost::array<boost::array<T, 3>, 6> j0_tricky = {{        // Big numbers make the accuracy of std::sin the limiting factor:        { SC_(0), SC_(1e+03), SC_(0.02478668615242017456133073111569370878617) },        { SC_(0), SC_(1e+05), SC_(-0.001719201116235972192570601477073201747532) },        // test at the roots:        { SC_(0), SC_(2521642)/(1024 * 1024), SC_(1.80208819970046790002973759410972422387259992955354630042138e-7) },        { SC_(0), SC_(5788221)/(1024 * 1024), SC_(-1.37774249380686777043369399806210229535671843632174587432454e-7) },        { SC_(0), SC_(9074091)/(1024 * 1024), SC_(1.03553057441100845081018471279571355857520645127532785991335e-7) },        { SC_(0), SC_(12364320)/(1024 * 1024), SC_(-3.53017140778223781420794006033810387155048392363051866610931e-9) }    }};        static const boost::array<boost::array<T, 3>, 8> j1_data = {        SC_(1), SC_(0), SC_(0),        SC_(1), SC_(1), SC_(0.4400505857449335159596822037189149131274),        SC_(1), SC_(-2), SC_(-0.5767248077568733872024482422691370869203),        SC_(1), SC_(4), SC_(-6.604332802354913614318542080327502872742e-02),        SC_(1), SC_(-8), SC_(-0.2346363468539146243812766515904546115488),        SC_(1), SC_(1e-05), SC_(4.999999999937500000000260416666666124132e-06),        SC_(1), SC_(1e-10), SC_(4.999999999999999999993750000000000000000e-11),        SC_(1), SC_(-1e+01), SC_(-4.347274616886143666974876802585928830627e-02),    };    static const boost::array<boost::array<T, 3>, 5> j1_tricky = {        // Big numbers make the accuracy of std::sin the limiting factor:        SC_(1), SC_(1e+03), SC_(4.728311907089523917576071901216916285418e-03),        SC_(1), SC_(1e+05), SC_(1.846757562882567716362123967114215743694e-03),        // test zeros:        SC_(1), SC_(4017834)/(1024*1024), SC_(3.53149033321258645807835062770856949751958513973522222203044e-7),        SC_(1), SC_(7356375)/(1024*1024), SC_(-2.31227973111067286051984021150135526024117175836722748404342e-7),        SC_(1), SC_(10667654)/(1024*1024), SC_(1.24591331097191900488116495350277530373473085499043086981229e-7),    };    static const boost::array<boost::array<T, 3>, 14> jn_data = {        SC_(2), SC_(0), SC_(0),        SC_(2), SC_(1e-02), SC_(1.249989583365885362413250958437642113452e-05),        SC_(5), SC_(10), SC_(-0.2340615281867936404436949416457777864635),        SC_(5), SC_(-10), SC_(0.2340615281867936404436949416457777864635),        SC_(-5), SC_(1e+06), SC_(7.259643842453285052375779970433848914846e-04),        SC_(5), SC_(1e+06), SC_(-0.000725964384245328505237577997043384891484649290328285235308619),        SC_(-5), SC_(-1), SC_(2.497577302112344313750655409880451981584e-04),        SC_(10), SC_(10), SC_(0.2074861066333588576972787235187534280327),        SC_(10), SC_(-10), SC_(0.2074861066333588576972787235187534280327),        SC_(10), SC_(-5), SC_(1.467802647310474131107532232606627020895e-03),        SC_(-10), SC_(1e+06), SC_(-3.310793117604488741264958559035744460210e-04),        SC_(10), SC_(1e+06), SC_(-0.000331079311760448874126495855903574446020957243277028930713243),        SC_(1e+02), SC_(8e+01), SC_(4.606553064823477354141298259169874909670e-06),        SC_(1e+03), SC_(1e+05), SC_(1.283178112502480365195139312635384057363e-03),    };    do_test_cyl_bessel_j(j0_data, name, "Bessel J0: Mathworld Data");    do_test_cyl_bessel_j(j0_tricky, name, "Bessel J0: Mathworld Data (Tricky cases)");    do_test_cyl_bessel_j(j1_data, name, "Bessel J1: Mathworld Data");    do_test_cyl_bessel_j(j1_tricky, name, "Bessel J1: Mathworld Data (tricky cases)");    do_test_cyl_bessel_j(jn_data, name, "Bessel JN: Mathworld Data");    do_test_cyl_bessel_j_int(j0_data, name, "Bessel J0: Mathworld Data (Integer Version)");    do_test_cyl_bessel_j_int(j0_tricky, name, "Bessel J0: Mathworld Data (Tricky cases) (Integer Version)");    do_test_cyl_bessel_j_int(j1_data, name, "Bessel J1: Mathworld Data (Integer Version)");    do_test_cyl_bessel_j_int(j1_tricky, name, "Bessel J1: Mathworld Data (tricky cases) (Integer Version)");    do_test_cyl_bessel_j_int(jn_data, name, "Bessel JN: Mathworld Data (Integer Version)");    static const boost::array<boost::array<T, 3>, 17> jv_data = {        //SC_(-2.4), SC_(0), std::numeric_limits<T>::infinity(),        SC_(2457)/1024, SC_(1)/1024, SC_(3.80739920118603335646474073457326714709615200130620574875292e-9),        SC_(5.5), SC_(3217)/1024, SC_(0.0281933076257506091621579544064767140470089107926550720453038),        SC_(-5.5), SC_(3217)/1024, SC_(-2.55820064470647911823175836997490971806135336759164272675969),        SC_(-5.5), SC_(1e+04), SC_(2.449843111985605522111159013846599118397e-03),        SC_(5.5), SC_(1e+04), SC_(0.00759343502722670361395585198154817047185480147294665270646578),        SC_(5.5), SC_(1e+06), SC_(-0.000747424248595630177396350688505919533097973148718960064663632),        SC_(5.125), SC_(1e+06), SC_(-0.000776600124835704280633640911329691642748783663198207360238214),        SC_(5.875), SC_(1e+06), SC_(-0.000466322721115193071631008581529503095819705088484386434589780),        SC_(0.5), SC_(101), SC_(0.0358874487875643822020496677692429287863419555699447066226409),        SC_(-5.5), SC_(1e+04), SC_(0.00244984311198560552211115901384659911839737686676766460822577),        SC_(-5.5), SC_(1e+06), SC_(0.000279243200433579511095229508894156656558211060453622750659554),        SC_(-0.5), SC_(101), SC_(0.0708184798097594268482290389188138201440114881159344944791454),        SC_(-10486074) / (1024*1024), SC_(1)/1024, SC_(1.41474013160494695750009004222225969090304185981836460288562e35),        SC_(-10486074) / (1024*1024), SC_(15), SC_(-0.0902239288885423309568944543848111461724911781719692852541489),        SC_(10486074) / (1024*1024), SC_(1e+02), SC_(-0.0547064914615137807616774867984047583596945624129838091326863),        SC_(10486074) / (1024*1024), SC_(2e+04), SC_(-0.00556783614400875611650958980796060611309029233226596737701688),        SC_(-10486074) / (1024*1024), SC_(1e+02), SC_(-0.0547613660316806551338637153942604550779513947674222863858713),    };    do_test_cyl_bessel_j(jv_data, name, "Bessel J: Mathworld Data");    #undef SC_#include "bessel_j_int_data.ipp"    do_test_cyl_bessel_j(bessel_j_int_data, name, "Bessel JN: Random Data");#include "bessel_j_data.ipp"    do_test_cyl_bessel_j(bessel_j_data, name, "Bessel J: Random Data");#include "bessel_j_large_data.ipp"    do_test_cyl_bessel_j(bessel_j_large_data, name, "Bessel J: Random Data (Tricky large values)");#include "sph_bessel_data.ipp"    do_test_sph_bessel_j(sph_bessel_data, name, "Bessel j: Random Data");}int test_main(int, char* []){#ifdef TEST_GSL   gsl_set_error_handler_off();#endif   expected_results();   BOOST_MATH_CONTROL_FP;   test_bessel(0.1F, "float");   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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