| // { dg-do run { target c++11 } } |
| // { dg-options "-D__STDCPP_WANT_MATH_SPEC_FUNCS__" } |
| // |
| // Copyright (C) 2016-2021 Free Software Foundation, Inc. |
| // |
| // This file is part of the GNU ISO C++ Library. This library is free |
| // software; you can redistribute it and/or modify it under the |
| // terms of the GNU General Public License as published by the |
| // Free Software Foundation; either version 3, or (at your option) |
| // any later version. |
| // |
| // This library is distributed in the hope that it will be useful, |
| // but WITHOUT ANY WARRANTY; without even the implied warranty of |
| // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
| // GNU General Public License for more details. |
| // |
| // You should have received a copy of the GNU General Public License along |
| // with this library; see the file COPYING3. If not see |
| // <http://www.gnu.org/licenses/>. |
| |
| // beta |
| // Compare against values generated by the GNU Scientific Library. |
| // The GSL can be found on the web: http://www.gnu.org/software/gsl/ |
| #include <limits> |
| #include <cmath> |
| #if defined(__TEST_DEBUG) |
| # include <iostream> |
| # define VERIFY(A) \ |
| if (!(A)) \ |
| { \ |
| std::cout << "line " << __LINE__ \ |
| << " max_abs_frac = " << max_abs_frac \ |
| << std::endl; \ |
| } |
| #else |
| # include <testsuite_hooks.h> |
| #endif |
| #include <specfun_testcase.h> |
| |
| // Test data for x=10.000000000000000. |
| // max(|f - f_GSL|): 3.5542916945637908e-26 at index 4 |
| // max(|f - f_GSL| / |f_GSL|): 2.2331030499795109e-14 |
| // mean(f - f_GSL): -1.0876419730734700e-27 |
| // variance(f - f_GSL): 1.4090082527689930e-55 |
| // stddev(f - f_GSL): 3.7536758687571747e-28 |
| const testcase_beta<double> |
| data001[10] = |
| { |
| { 1.0825088224469029e-06, 10.000000000000000, 10.000000000000000, 0.0 }, |
| { 4.9925087406346778e-09, 10.000000000000000, 20.000000000000000, 0.0 }, |
| { 1.5729567312509485e-10, 10.000000000000000, 30.000000000000000, 0.0 }, |
| { 1.2168673582561288e-11, 10.000000000000000, 40.000000000000000, 0.0 }, |
| { 1.5916380099863291e-12, 10.000000000000000, 50.000000000000000, 0.0 }, |
| { 2.9408957938463963e-13, 10.000000000000000, 60.000000000000000, 0.0 }, |
| { 6.9411637980691676e-14, 10.000000000000000, 70.000000000000000, 0.0 }, |
| { 1.9665612972502651e-14, 10.000000000000000, 80.000000000000000, 0.0 }, |
| { 6.4187824828154399e-15, 10.000000000000000, 90.000000000000000, 0.0 }, |
| { 2.3455339739604842e-15, 10.000000000000000, 100.00000000000000, 0.0 }, |
| }; |
| const double toler001 = 2.5000000000000015e-12; |
| |
| // Test data for x=20.000000000000000. |
| // max(|f - f_GSL|): 1.9721522630525295e-31 at index 2 |
| // max(|f - f_GSL| / |f_GSL|): 0.0000000000000000 |
| // mean(f - f_GSL): 1.9831607786682398e-32 |
| // variance(f - f_GSL): 4.8554947092912269e-65 |
| // stddev(f - f_GSL): 6.9681379932455613e-33 |
| const testcase_beta<double> |
| data002[10] = |
| { |
| { 4.9925087406346778e-09, 20.000000000000000, 10.000000000000000, 0.0 }, |
| { 7.2544445519248436e-13, 20.000000000000000, 20.000000000000000, 0.0 }, |
| { 1.7681885473062028e-15, 20.000000000000000, 30.000000000000000, 0.0 }, |
| { 1.7891885039182335e-17, 20.000000000000000, 40.000000000000000, 0.0 }, |
| { 4.3240677875623635e-19, 20.000000000000000, 50.000000000000000, 0.0 }, |
| { 1.8857342309689053e-20, 20.000000000000000, 60.000000000000000, 0.0 }, |
| { 1.2609804003539998e-21, 20.000000000000000, 70.000000000000000, 0.0 }, |
| { 1.1660809542079041e-22, 20.000000000000000, 80.000000000000000, 0.0 }, |
| { 1.3907944279729071e-23, 20.000000000000000, 90.000000000000000, 0.0 }, |
| { 2.0365059099917614e-24, 20.000000000000000, 100.00000000000000, 0.0 }, |
| }; |
| const double toler002 = 2.5000000000000020e-13; |
| |
| // Test data for x=30.000000000000000. |
| // max(|f - f_GSL|): 2.5849394142282115e-26 at index 0 |
| // max(|f - f_GSL| / |f_GSL|): 1.6433633315345226e-16 |
| // mean(f - f_GSL): 2.5849591357601703e-27 |
| // variance(f - f_GSL): 8.2493996710493413e-55 |
| // stddev(f - f_GSL): 9.0826205860694966e-28 |
| const testcase_beta<double> |
| data003[10] = |
| { |
| { 1.5729567312509485e-10, 30.000000000000000, 10.000000000000000, 0.0 }, |
| { 1.7681885473062028e-15, 30.000000000000000, 20.000000000000000, 0.0 }, |
| { 5.6370779640482451e-19, 30.000000000000000, 30.000000000000000, 0.0 }, |
| { 1.0539424603796547e-21, 30.000000000000000, 40.000000000000000, 0.0 }, |
| { 6.0118197777273843e-24, 30.000000000000000, 50.000000000000000, 0.0 }, |
| { 7.4279528553260153e-26, 30.000000000000000, 60.000000000000000, 0.0 }, |
| { 1.6212207780604767e-27, 30.000000000000000, 70.000000000000000, 0.0 }, |
| { 5.4783729715317616e-29, 30.000000000000000, 80.000000000000000, 0.0 }, |
| { 2.6183005659681346e-30, 30.000000000000000, 90.000000000000000, 0.0 }, |
| { 1.6587948222122229e-31, 30.000000000000000, 100.00000000000000, 0.0 }, |
| }; |
| const double toler003 = 2.5000000000000020e-13; |
| |
| // Test data for x=40.000000000000000. |
| // max(|f - f_GSL|): 3.9012149246802907e-41 at index 4 |
| // max(|f - f_GSL| / |f_GSL|): 0.0000000000000000 |
| // mean(f - f_GSL): -3.9072897597887440e-42 |
| // variance(f - f_GSL): 1.8848041017931125e-84 |
| // stddev(f - f_GSL): 1.3728816780018271e-42 |
| const testcase_beta<double> |
| data004[10] = |
| { |
| { 1.2168673582561288e-11, 40.000000000000000, 10.000000000000000, 0.0 }, |
| { 1.7891885039182335e-17, 40.000000000000000, 20.000000000000000, 0.0 }, |
| { 1.0539424603796547e-21, 40.000000000000000, 30.000000000000000, 0.0 }, |
| { 4.6508509140090659e-25, 40.000000000000000, 40.000000000000000, 0.0 }, |
| { 7.5161712118557728e-28, 40.000000000000000, 50.000000000000000, 0.0 }, |
| { 3.0311331979886071e-30, 40.000000000000000, 60.000000000000000, 0.0 }, |
| { 2.4175035070466313e-32, 40.000000000000000, 70.000000000000000, 0.0 }, |
| { 3.2734839142758369e-34, 40.000000000000000, 80.000000000000000, 0.0 }, |
| { 6.7690629601315579e-36, 40.000000000000000, 90.000000000000000, 0.0 }, |
| { 1.9797337118810115e-37, 40.000000000000000, 100.00000000000000, 0.0 }, |
| }; |
| const double toler004 = 2.5000000000000020e-13; |
| |
| // Test data for x=50.000000000000000. |
| // max(|f - f_GSL|): 3.5542916945637908e-26 at index 0 |
| // max(|f - f_GSL| / |f_GSL|): 2.2331030499795109e-14 |
| // mean(f - f_GSL): -3.5542916415910235e-27 |
| // variance(f - f_GSL): 1.5596282806770138e-54 |
| // stddev(f - f_GSL): 1.2488507839918322e-27 |
| const testcase_beta<double> |
| data005[10] = |
| { |
| { 1.5916380099863291e-12, 50.000000000000000, 10.000000000000000, 0.0 }, |
| { 4.3240677875623635e-19, 50.000000000000000, 20.000000000000000, 0.0 }, |
| { 6.0118197777273843e-24, 50.000000000000000, 30.000000000000000, 0.0 }, |
| { 7.5161712118557728e-28, 50.000000000000000, 40.000000000000000, 0.0 }, |
| { 3.9646612085674138e-31, 50.000000000000000, 50.000000000000000, 0.0 }, |
| { 5.8425643906418403e-34, 50.000000000000000, 60.000000000000000, 0.0 }, |
| { 1.8672362180783552e-36, 50.000000000000000, 70.000000000000000, 0.0 }, |
| { 1.0939382296458963e-38, 50.000000000000000, 80.000000000000000, 0.0 }, |
| { 1.0442781609879874e-40, 50.000000000000000, 90.000000000000000, 0.0 }, |
| { 1.4904121110954370e-42, 50.000000000000000, 100.00000000000000, 0.0 }, |
| }; |
| const double toler005 = 2.5000000000000015e-12; |
| |
| // Test data for x=60.000000000000000. |
| // max(|f - f_GSL|): 9.0876776281460560e-28 at index 0 |
| // max(|f - f_GSL| / |f_GSL|): 3.0901052826017635e-15 |
| // mean(f - f_GSL): -9.0876709777057221e-29 |
| // variance(f - f_GSL): 1.0195773308522824e-57 |
| // stddev(f - f_GSL): 3.1930821017510377e-29 |
| const testcase_beta<double> |
| data006[10] = |
| { |
| { 2.9408957938463963e-13, 60.000000000000000, 10.000000000000000, 0.0 }, |
| { 1.8857342309689053e-20, 60.000000000000000, 20.000000000000000, 0.0 }, |
| { 7.4279528553260153e-26, 60.000000000000000, 30.000000000000000, 0.0 }, |
| { 3.0311331979886071e-30, 60.000000000000000, 40.000000000000000, 0.0 }, |
| { 5.8425643906418403e-34, 60.000000000000000, 50.000000000000000, 0.0 }, |
| { 3.4501231469782229e-37, 60.000000000000000, 60.000000000000000, 0.0 }, |
| { 4.7706855386086599e-40, 60.000000000000000, 70.000000000000000, 0.0 }, |
| { 1.2902663809721126e-42, 60.000000000000000, 80.000000000000000, 0.0 }, |
| { 6.0105571058570508e-45, 60.000000000000000, 90.000000000000000, 0.0 }, |
| { 4.3922898898347209e-47, 60.000000000000000, 100.00000000000000, 0.0 }, |
| }; |
| const double toler006 = 2.5000000000000020e-13; |
| |
| // Test data for x=70.000000000000000. |
| // max(|f - f_GSL|): 1.7670484276950664e-28 at index 0 |
| // max(|f - f_GSL| / |f_GSL|): 2.5457523825998871e-15 |
| // mean(f - f_GSL): -1.7670492778129898e-29 |
| // variance(f - f_GSL): 3.8548927780486536e-59 |
| // stddev(f - f_GSL): 6.2087782840496516e-30 |
| const testcase_beta<double> |
| data007[10] = |
| { |
| { 6.9411637980691676e-14, 70.000000000000000, 10.000000000000000, 0.0 }, |
| { 1.2609804003539998e-21, 70.000000000000000, 20.000000000000000, 0.0 }, |
| { 1.6212207780604767e-27, 70.000000000000000, 30.000000000000000, 0.0 }, |
| { 2.4175035070466313e-32, 70.000000000000000, 40.000000000000000, 0.0 }, |
| { 1.8672362180783552e-36, 70.000000000000000, 50.000000000000000, 0.0 }, |
| { 4.7706855386086599e-40, 70.000000000000000, 60.000000000000000, 0.0 }, |
| { 3.0453137143482908e-43, 70.000000000000000, 70.000000000000000, 0.0 }, |
| { 4.0192274082013779e-46, 70.000000000000000, 80.000000000000000, 0.0 }, |
| { 9.5865870063501807e-49, 70.000000000000000, 90.000000000000000, 0.0 }, |
| { 3.7409127305819802e-51, 70.000000000000000, 100.00000000000000, 0.0 }, |
| }; |
| const double toler007 = 2.5000000000000020e-13; |
| |
| // Test data for x=80.000000000000000. |
| // max(|f - f_GSL|): 5.3642541555028803e-29 at index 0 |
| // max(|f - f_GSL| / |f_GSL|): 2.7277330043072765e-15 |
| // mean(f - f_GSL): -5.3642549571904701e-30 |
| // variance(f - f_GSL): 3.5524976846595722e-60 |
| // stddev(f - f_GSL): 1.8848070682856566e-30 |
| const testcase_beta<double> |
| data008[10] = |
| { |
| { 1.9665612972502651e-14, 80.000000000000000, 10.000000000000000, 0.0 }, |
| { 1.1660809542079041e-22, 80.000000000000000, 20.000000000000000, 0.0 }, |
| { 5.4783729715317616e-29, 80.000000000000000, 30.000000000000000, 0.0 }, |
| { 3.2734839142758369e-34, 80.000000000000000, 40.000000000000000, 0.0 }, |
| { 1.0939382296458963e-38, 80.000000000000000, 50.000000000000000, 0.0 }, |
| { 1.2902663809721126e-42, 80.000000000000000, 60.000000000000000, 0.0 }, |
| { 4.0192274082013779e-46, 80.000000000000000, 70.000000000000000, 0.0 }, |
| { 2.7160590828669411e-49, 80.000000000000000, 80.000000000000000, 0.0 }, |
| { 3.4593773902125368e-52, 80.000000000000000, 90.000000000000000, 0.0 }, |
| { 7.4807039968503468e-55, 80.000000000000000, 100.00000000000000, 0.0 }, |
| }; |
| const double toler008 = 2.5000000000000020e-13; |
| |
| // Test data for x=90.000000000000000. |
| // max(|f - f_GSL|): 2.4454688061851366e-29 at index 0 |
| // max(|f - f_GSL| / |f_GSL|): 3.8098639621021905e-15 |
| // mean(f - f_GSL): -2.4454688799474037e-30 |
| // variance(f - f_GSL): 7.3831086948039631e-61 |
| // stddev(f - f_GSL): 8.5925017863274033e-31 |
| const testcase_beta<double> |
| data009[10] = |
| { |
| { 6.4187824828154399e-15, 90.000000000000000, 10.000000000000000, 0.0 }, |
| { 1.3907944279729071e-23, 90.000000000000000, 20.000000000000000, 0.0 }, |
| { 2.6183005659681346e-30, 90.000000000000000, 30.000000000000000, 0.0 }, |
| { 6.7690629601315579e-36, 90.000000000000000, 40.000000000000000, 0.0 }, |
| { 1.0442781609879874e-40, 90.000000000000000, 50.000000000000000, 0.0 }, |
| { 6.0105571058570508e-45, 90.000000000000000, 60.000000000000000, 0.0 }, |
| { 9.5865870063501807e-49, 90.000000000000000, 70.000000000000000, 0.0 }, |
| { 3.4593773902125368e-52, 90.000000000000000, 80.000000000000000, 0.0 }, |
| { 2.4416737907558036e-55, 90.000000000000000, 90.000000000000000, 0.0 }, |
| { 3.0238531916564250e-58, 90.000000000000000, 100.00000000000000, 0.0 }, |
| }; |
| const double toler009 = 2.5000000000000020e-13; |
| |
| // Test data for x=100.00000000000000. |
| // max(|f - f_GSL|): 1.9327092177914789e-29 at index 0 |
| // max(|f - f_GSL| / |f_GSL|): 8.2399540541638715e-15 |
| // mean(f - f_GSL): -1.9327092238526215e-30 |
| // variance(f - f_GSL): 4.6115616592160521e-61 |
| // stddev(f - f_GSL): 6.7908480024339023e-31 |
| const testcase_beta<double> |
| data010[10] = |
| { |
| { 2.3455339739604842e-15, 100.00000000000000, 10.000000000000000, 0.0 }, |
| { 2.0365059099917614e-24, 100.00000000000000, 20.000000000000000, 0.0 }, |
| { 1.6587948222122229e-31, 100.00000000000000, 30.000000000000000, 0.0 }, |
| { 1.9797337118810115e-37, 100.00000000000000, 40.000000000000000, 0.0 }, |
| { 1.4904121110954370e-42, 100.00000000000000, 50.000000000000000, 0.0 }, |
| { 4.3922898898347209e-47, 100.00000000000000, 60.000000000000000, 0.0 }, |
| { 3.7409127305819802e-51, 100.00000000000000, 70.000000000000000, 0.0 }, |
| { 7.4807039968503468e-55, 100.00000000000000, 80.000000000000000, 0.0 }, |
| { 3.0238531916564250e-58, 100.00000000000000, 90.000000000000000, 0.0 }, |
| { 2.2087606931991849e-61, 100.00000000000000, 100.00000000000000, 0.0 }, |
| }; |
| const double toler010 = 5.0000000000000039e-13; |
| |
| template<typename Ret, unsigned int Num> |
| void |
| test(const testcase_beta<Ret> (&data)[Num], Ret toler) |
| { |
| bool test __attribute__((unused)) = true; |
| const Ret eps = std::numeric_limits<Ret>::epsilon(); |
| Ret max_abs_diff = -Ret(1); |
| Ret max_abs_frac = -Ret(1); |
| unsigned int num_datum = Num; |
| for (unsigned int i = 0; i < num_datum; ++i) |
| { |
| const Ret f = std::beta(data[i].x, data[i].y); |
| const Ret f0 = data[i].f0; |
| const Ret diff = f - f0; |
| if (std::abs(diff) > max_abs_diff) |
| max_abs_diff = std::abs(diff); |
| if (std::abs(f0) > Ret(10) * eps |
| && std::abs(f) > Ret(10) * eps) |
| { |
| const Ret frac = diff / f0; |
| if (std::abs(frac) > max_abs_frac) |
| max_abs_frac = std::abs(frac); |
| } |
| } |
| VERIFY(max_abs_frac < toler); |
| } |
| |
| int |
| main() |
| { |
| test(data001, toler001); |
| test(data002, toler002); |
| test(data003, toler003); |
| test(data004, toler004); |
| test(data005, toler005); |
| test(data006, toler006); |
| test(data007, toler007); |
| test(data008, toler008); |
| test(data009, toler009); |
| test(data010, toler010); |
| return 0; |
| } |