2016-01-14 Edward Smith-Rowland <3dw4rd@verizon.net>
[official-gcc.git] / libstdc++-v3 / testsuite / special_functions / 03_beta / check_value.cc
blob9cc0b3528e8524f835d42835c8f7662bf5ce622c
1 // { dg-options "-D__STDCPP_WANT_MATH_SPEC_FUNCS__" }
2 //
3 // Copyright (C) 2016 Free Software Foundation, Inc.
4 //
5 // This file is part of the GNU ISO C++ Library. This library is free
6 // software; you can redistribute it and/or modify it under the
7 // terms of the GNU General Public License as published by the
8 // Free Software Foundation; either version 3, or (at your option)
9 // any later version.
11 // This library is distributed in the hope that it will be useful,
12 // but WITHOUT ANY WARRANTY; without even the implied warranty of
13 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
14 // GNU General Public License for more details.
16 // You should have received a copy of the GNU General Public License along
17 // with this library; see the file COPYING3. If not see
18 // <http://www.gnu.org/licenses/>.
20 // beta
21 // Compare against values generated by the GNU Scientific Library.
22 // The GSL can be found on the web: http://www.gnu.org/software/gsl/
23 #include <limits>
24 #include <cmath>
25 #if defined(__TEST_DEBUG)
26 # include <iostream>
27 # define VERIFY(A) \
28 if (!(A)) \
29 { \
30 std::cout << "line " << __LINE__ \
31 << " max_abs_frac = " << max_abs_frac \
32 << std::endl; \
34 #else
35 # include <testsuite_hooks.h>
36 #endif
37 #include <specfun_testcase.h>
40 // Test data for x=10.000000000000000.
41 // max(|f - f_GSL|): 2.1175823681357508e-21
42 // max(|f - f_GSL| / |f_GSL|): 9.9466182377295583e-14
43 const testcase_beta<double>
44 data001[10] =
46 { 1.0825088224469029e-06, 10.000000000000000, 10.000000000000000 },
47 { 4.9925087406346778e-09, 10.000000000000000, 20.000000000000000 },
48 { 1.5729567312509485e-10, 10.000000000000000, 30.000000000000000 },
49 { 1.2168673582561288e-11, 10.000000000000000, 40.000000000000000 },
50 { 1.5916380099863291e-12, 10.000000000000000, 50.000000000000000 },
51 { 2.9408957938463963e-13, 10.000000000000000, 60.000000000000000 },
52 { 6.9411637980691676e-14, 10.000000000000000, 70.000000000000000 },
53 { 1.9665612972502651e-14, 10.000000000000000, 80.000000000000000 },
54 { 6.4187824828154399e-15, 10.000000000000000, 90.000000000000000 },
55 { 2.3455339739604842e-15, 10.000000000000000, 100.00000000000000 },
57 const double toler001 = 5.0000000000000029e-12;
59 // Test data for x=20.000000000000000.
60 // max(|f - f_GSL|): 1.9025154088719637e-23
61 // max(|f - f_GSL| / |f_GSL|): 3.8107402664859521e-15
62 const testcase_beta<double>
63 data002[10] =
65 { 4.9925087406346778e-09, 20.000000000000000, 10.000000000000000 },
66 { 7.2544445519248436e-13, 20.000000000000000, 20.000000000000000 },
67 { 1.7681885473062028e-15, 20.000000000000000, 30.000000000000000 },
68 { 1.7891885039182335e-17, 20.000000000000000, 40.000000000000000 },
69 { 4.3240677875623635e-19, 20.000000000000000, 50.000000000000000 },
70 { 1.8857342309689050e-20, 20.000000000000000, 60.000000000000000 },
71 { 1.2609804003539998e-21, 20.000000000000000, 70.000000000000000 },
72 { 1.1660809542079041e-22, 20.000000000000000, 80.000000000000000 },
73 { 1.3907944279729071e-23, 20.000000000000000, 90.000000000000000 },
74 { 2.0365059099917614e-24, 20.000000000000000, 100.00000000000000 },
76 const double toler002 = 2.5000000000000020e-13;
78 // Test data for x=30.000000000000000.
79 // max(|f - f_GSL|): 9.0472879497987402e-25
80 // max(|f - f_GSL| / |f_GSL|): 5.7517716603708290e-15
81 const testcase_beta<double>
82 data003[10] =
84 { 1.5729567312509485e-10, 30.000000000000000, 10.000000000000000 },
85 { 1.7681885473062028e-15, 30.000000000000000, 20.000000000000000 },
86 { 5.6370779640482451e-19, 30.000000000000000, 30.000000000000000 },
87 { 1.0539424603796547e-21, 30.000000000000000, 40.000000000000000 },
88 { 6.0118197777273836e-24, 30.000000000000000, 50.000000000000000 },
89 { 7.4279528553260165e-26, 30.000000000000000, 60.000000000000000 },
90 { 1.6212207780604767e-27, 30.000000000000000, 70.000000000000000 },
91 { 5.4783729715317616e-29, 30.000000000000000, 80.000000000000000 },
92 { 2.6183005659681346e-30, 30.000000000000000, 90.000000000000000 },
93 { 1.6587948222122229e-31, 30.000000000000000, 100.00000000000000 },
95 const double toler003 = 5.0000000000000039e-13;
97 // Test data for x=40.000000000000000.
98 // max(|f - f_GSL|): 2.6495628995839168e-25
99 // max(|f - f_GSL| / |f_GSL|): 2.1773637706750213e-14
100 const testcase_beta<double>
101 data004[10] =
103 { 1.2168673582561288e-11, 40.000000000000000, 10.000000000000000 },
104 { 1.7891885039182335e-17, 40.000000000000000, 20.000000000000000 },
105 { 1.0539424603796547e-21, 40.000000000000000, 30.000000000000000 },
106 { 4.6508509140090659e-25, 40.000000000000000, 40.000000000000000 },
107 { 7.5161712118557719e-28, 40.000000000000000, 50.000000000000000 },
108 { 3.0311331979886071e-30, 40.000000000000000, 60.000000000000000 },
109 { 2.4175035070466313e-32, 40.000000000000000, 70.000000000000000 },
110 { 3.2734839142758369e-34, 40.000000000000000, 80.000000000000000 },
111 { 6.7690629601315579e-36, 40.000000000000000, 90.000000000000000 },
112 { 1.9797337118812366e-37, 40.000000000000000, 100.00000000000000 },
114 const double toler004 = 2.5000000000000015e-12;
116 // Test data for x=50.000000000000000.
117 // max(|f - f_GSL|): 2.4603755039546938e-32
118 // max(|f - f_GSL| / |f_GSL|): 0.0000000000000000
119 const testcase_beta<double>
120 data005[10] =
122 { 1.5916380099863291e-12, 50.000000000000000, 10.000000000000000 },
123 { 4.3240677875623635e-19, 50.000000000000000, 20.000000000000000 },
124 { 6.0118197777273836e-24, 50.000000000000000, 30.000000000000000 },
125 { 7.5161712118557719e-28, 50.000000000000000, 40.000000000000000 },
126 { 3.9646612085674138e-31, 50.000000000000000, 50.000000000000000 },
127 { 5.8425643906418403e-34, 50.000000000000000, 60.000000000000000 },
128 { 1.8672362180783552e-36, 50.000000000000000, 70.000000000000000 },
129 { 1.0939382296458962e-38, 50.000000000000000, 80.000000000000000 },
130 { 1.0442781609881063e-40, 50.000000000000000, 90.000000000000000 },
131 { 1.4904121110954370e-42, 50.000000000000000, 100.00000000000000 },
133 const double toler005 = 2.5000000000000020e-13;
135 // Test data for x=60.000000000000000.
136 // max(|f - f_GSL|): 2.1911400503418824e-26
137 // max(|f - f_GSL| / |f_GSL|): 7.4505871813842522e-14
138 const testcase_beta<double>
139 data006[10] =
141 { 2.9408957938463963e-13, 60.000000000000000, 10.000000000000000 },
142 { 1.8857342309689050e-20, 60.000000000000000, 20.000000000000000 },
143 { 7.4279528553260165e-26, 60.000000000000000, 30.000000000000000 },
144 { 3.0311331979886071e-30, 60.000000000000000, 40.000000000000000 },
145 { 5.8425643906418403e-34, 60.000000000000000, 50.000000000000000 },
146 { 3.4501231469782229e-37, 60.000000000000000, 60.000000000000000 },
147 { 4.7706855386086599e-40, 60.000000000000000, 70.000000000000000 },
148 { 1.2902663809722593e-42, 60.000000000000000, 80.000000000000000 },
149 { 6.0105571058570508e-45, 60.000000000000000, 90.000000000000000 },
150 { 4.3922898898347209e-47, 60.000000000000000, 100.00000000000000 },
152 const double toler006 = 5.0000000000000029e-12;
154 // Test data for x=70.000000000000000.
155 // max(|f - f_GSL|): 6.9041106424942953e-27
156 // max(|f - f_GSL| / |f_GSL|): 9.9466182377295583e-14
157 const testcase_beta<double>
158 data007[10] =
160 { 6.9411637980691676e-14, 70.000000000000000, 10.000000000000000 },
161 { 1.2609804003539998e-21, 70.000000000000000, 20.000000000000000 },
162 { 1.6212207780604767e-27, 70.000000000000000, 30.000000000000000 },
163 { 2.4175035070466313e-32, 70.000000000000000, 40.000000000000000 },
164 { 1.8672362180783552e-36, 70.000000000000000, 50.000000000000000 },
165 { 4.7706855386086599e-40, 70.000000000000000, 60.000000000000000 },
166 { 3.0453137143486369e-43, 70.000000000000000, 70.000000000000000 },
167 { 4.0192274082013779e-46, 70.000000000000000, 80.000000000000000 },
168 { 9.5865870063501807e-49, 70.000000000000000, 90.000000000000000 },
169 { 3.7409127305819802e-51, 70.000000000000000, 100.00000000000000 },
171 const double toler007 = 5.0000000000000029e-12;
173 // Test data for x=80.000000000000000.
174 // max(|f - f_GSL|): 1.6786960063103131e-27
175 // max(|f - f_GSL| / |f_GSL|): 8.5361997546557118e-14
176 const testcase_beta<double>
177 data008[10] =
179 { 1.9665612972502651e-14, 80.000000000000000, 10.000000000000000 },
180 { 1.1660809542079041e-22, 80.000000000000000, 20.000000000000000 },
181 { 5.4783729715317616e-29, 80.000000000000000, 30.000000000000000 },
182 { 3.2734839142758369e-34, 80.000000000000000, 40.000000000000000 },
183 { 1.0939382296458962e-38, 80.000000000000000, 50.000000000000000 },
184 { 1.2902663809722593e-42, 80.000000000000000, 60.000000000000000 },
185 { 4.0192274082013779e-46, 80.000000000000000, 70.000000000000000 },
186 { 2.7160590828669411e-49, 80.000000000000000, 80.000000000000000 },
187 { 3.4593773902125368e-52, 80.000000000000000, 90.000000000000000 },
188 { 7.4807039968503468e-55, 80.000000000000000, 100.00000000000000 },
190 const double toler008 = 5.0000000000000029e-12;
192 // Test data for x=90.000000000000000.
193 // max(|f - f_GSL|): 2.7373473411169110e-28
194 // max(|f - f_GSL| / |f_GSL|): 4.2645896608047095e-14
195 const testcase_beta<double>
196 data009[10] =
198 { 6.4187824828154399e-15, 90.000000000000000, 10.000000000000000 },
199 { 1.3907944279729071e-23, 90.000000000000000, 20.000000000000000 },
200 { 2.6183005659681346e-30, 90.000000000000000, 30.000000000000000 },
201 { 6.7690629601315579e-36, 90.000000000000000, 40.000000000000000 },
202 { 1.0442781609881063e-40, 90.000000000000000, 50.000000000000000 },
203 { 6.0105571058570508e-45, 90.000000000000000, 60.000000000000000 },
204 { 9.5865870063501807e-49, 90.000000000000000, 70.000000000000000 },
205 { 3.4593773902125368e-52, 90.000000000000000, 80.000000000000000 },
206 { 2.4416737907558032e-55, 90.000000000000000, 90.000000000000000 },
207 { 3.0238531916564246e-58, 90.000000000000000, 100.00000000000000 },
209 const double toler009 = 2.5000000000000015e-12;
211 // Test data for x=100.00000000000000.
212 // max(|f - f_GSL|): 1.6960509462251754e-29
213 // max(|f - f_GSL| / |f_GSL|): 7.2309800883478868e-15
214 const testcase_beta<double>
215 data010[10] =
217 { 2.3455339739604842e-15, 100.00000000000000, 10.000000000000000 },
218 { 2.0365059099917614e-24, 100.00000000000000, 20.000000000000000 },
219 { 1.6587948222122229e-31, 100.00000000000000, 30.000000000000000 },
220 { 1.9797337118812366e-37, 100.00000000000000, 40.000000000000000 },
221 { 1.4904121110954370e-42, 100.00000000000000, 50.000000000000000 },
222 { 4.3922898898347209e-47, 100.00000000000000, 60.000000000000000 },
223 { 3.7409127305819802e-51, 100.00000000000000, 70.000000000000000 },
224 { 7.4807039968503468e-55, 100.00000000000000, 80.000000000000000 },
225 { 3.0238531916564246e-58, 100.00000000000000, 90.000000000000000 },
226 { 2.2087606931991853e-61, 100.00000000000000, 100.00000000000000 },
228 const double toler010 = 5.0000000000000039e-13;
230 template<typename Tp, unsigned int Num>
231 void
232 test(const testcase_beta<Tp> (&data)[Num], Tp toler)
234 bool test __attribute__((unused)) = true;
235 const Tp eps = std::numeric_limits<Tp>::epsilon();
236 Tp max_abs_diff = -Tp(1);
237 Tp max_abs_frac = -Tp(1);
238 unsigned int num_datum = Num;
239 for (unsigned int i = 0; i < num_datum; ++i)
241 const Tp f = std::beta(data[i].x, data[i].y);
242 const Tp f0 = data[i].f0;
243 const Tp diff = f - f0;
244 if (std::abs(diff) > max_abs_diff)
245 max_abs_diff = std::abs(diff);
246 if (std::abs(f0) > Tp(10) * eps
247 && std::abs(f) > Tp(10) * eps)
249 const Tp frac = diff / f0;
250 if (std::abs(frac) > max_abs_frac)
251 max_abs_frac = std::abs(frac);
254 VERIFY(max_abs_frac < toler);
258 main()
260 test(data001, toler001);
261 test(data002, toler002);
262 test(data003, toler003);
263 test(data004, toler004);
264 test(data005, toler005);
265 test(data006, toler006);
266 test(data007, toler007);
267 test(data008, toler008);
268 test(data009, toler009);
269 test(data010, toler010);
270 return 0;