diff options
Diffstat (limited to 'libstdc++-v3/testsuite/special_functions/03_beta/check_value.cc')
| -rw-r--r-- | libstdc++-v3/testsuite/special_functions/03_beta/check_value.cc | 312 |
1 files changed, 171 insertions, 141 deletions
diff --git a/libstdc++-v3/testsuite/special_functions/03_beta/check_value.cc b/libstdc++-v3/testsuite/special_functions/03_beta/check_value.cc index 93348810f79..e13315d10a7 100644 --- a/libstdc++-v3/testsuite/special_functions/03_beta/check_value.cc +++ b/libstdc++-v3/testsuite/special_functions/03_beta/check_value.cc @@ -39,215 +39,245 @@ // Test data for x=10.000000000000000. -// max(|f - f_GSL|): 2.1175823681357508e-21 -// max(|f - f_GSL| / |f_GSL|): 9.9466182377295583e-14 +// max(|f - f_GSL|): 7.7707014339346327e-17 +// max(|f - f_GSL| / |f_GSL|): 9.7017504401032555e-10 +// mean(f - f_GSL): -7.7938051002258226e-18 +// variance(f - f_GSL): 7.4991865016938964e-36 +// stddev(f - f_GSL): 2.7384642597072353e-18 const testcase_beta<double> data001[10] = { - { 1.0825088224469029e-06, 10.000000000000000, 10.000000000000000 }, - { 4.9925087406346778e-09, 10.000000000000000, 20.000000000000000 }, - { 1.5729567312509485e-10, 10.000000000000000, 30.000000000000000 }, - { 1.2168673582561288e-11, 10.000000000000000, 40.000000000000000 }, - { 1.5916380099863291e-12, 10.000000000000000, 50.000000000000000 }, - { 2.9408957938463963e-13, 10.000000000000000, 60.000000000000000 }, - { 6.9411637980691676e-14, 10.000000000000000, 70.000000000000000 }, - { 1.9665612972502651e-14, 10.000000000000000, 80.000000000000000 }, - { 6.4187824828154399e-15, 10.000000000000000, 90.000000000000000 }, - { 2.3455339739604842e-15, 10.000000000000000, 100.00000000000000 }, + { 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 = 5.0000000000000029e-12; +const double toler001 = 5.0000000000000024e-08; // Test data for x=20.000000000000000. -// max(|f - f_GSL|): 1.9025154088719637e-23 -// max(|f - f_GSL| / |f_GSL|): 3.8107402664859521e-15 +// max(|f - f_GSL|): 2.5195507868058946e-19 +// max(|f - f_GSL| / |f_GSL|): 1.5755574688509410e-10 +// mean(f - f_GSL): -2.5184035061512766e-20 +// variance(f - f_GSL): 7.8300694071554691e-41 +// stddev(f - f_GSL): 8.8487679408805091e-21 const testcase_beta<double> data002[10] = { - { 4.9925087406346778e-09, 20.000000000000000, 10.000000000000000 }, - { 7.2544445519248436e-13, 20.000000000000000, 20.000000000000000 }, - { 1.7681885473062028e-15, 20.000000000000000, 30.000000000000000 }, - { 1.7891885039182335e-17, 20.000000000000000, 40.000000000000000 }, - { 4.3240677875623635e-19, 20.000000000000000, 50.000000000000000 }, - { 1.8857342309689050e-20, 20.000000000000000, 60.000000000000000 }, - { 1.2609804003539998e-21, 20.000000000000000, 70.000000000000000 }, - { 1.1660809542079041e-22, 20.000000000000000, 80.000000000000000 }, - { 1.3907944279729071e-23, 20.000000000000000, 90.000000000000000 }, - { 2.0365059099917614e-24, 20.000000000000000, 100.00000000000000 }, + { 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 }, + { 1.8857342309689050e-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; +const double toler002 = 1.0000000000000005e-08; // Test data for x=30.000000000000000. -// max(|f - f_GSL|): 9.0472879497987402e-25 -// max(|f - f_GSL| / |f_GSL|): 5.7517716603708290e-15 +// max(|f - f_GSL|): 2.1430776255782837e-20 +// max(|f - f_GSL| / |f_GSL|): 1.3624517337320060e-10 +// mean(f - f_GSL): 2.1431216846143432e-21 +// variance(f - f_GSL): 5.6703340185978029e-43 +// stddev(f - f_GSL): 7.5301620291981785e-22 const testcase_beta<double> data003[10] = { - { 1.5729567312509485e-10, 30.000000000000000, 10.000000000000000 }, - { 1.7681885473062028e-15, 30.000000000000000, 20.000000000000000 }, - { 5.6370779640482451e-19, 30.000000000000000, 30.000000000000000 }, - { 1.0539424603796547e-21, 30.000000000000000, 40.000000000000000 }, - { 6.0118197777273836e-24, 30.000000000000000, 50.000000000000000 }, - { 7.4279528553260165e-26, 30.000000000000000, 60.000000000000000 }, - { 1.6212207780604767e-27, 30.000000000000000, 70.000000000000000 }, - { 5.4783729715317616e-29, 30.000000000000000, 80.000000000000000 }, - { 2.6183005659681346e-30, 30.000000000000000, 90.000000000000000 }, - { 1.6587948222122229e-31, 30.000000000000000, 100.00000000000000 }, + { 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 }, + { 6.0118197777273836e-24, 30.000000000000000, 50.000000000000000, 0.0 }, + { 7.4279528553260165e-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 = 5.0000000000000039e-13; +const double toler003 = 1.0000000000000005e-08; // Test data for x=40.000000000000000. -// max(|f - f_GSL|): 2.6495628995839168e-25 -// max(|f - f_GSL| / |f_GSL|): 2.1773637706750213e-14 +// max(|f - f_GSL|): 5.0244436746634082e-22 +// max(|f - f_GSL| / |f_GSL|): 4.1289986460511602e-11 +// mean(f - f_GSL): 5.0243379525418262e-23 +// variance(f - f_GSL): 3.1165397359694066e-46 +// stddev(f - f_GSL): 1.7653724071621280e-23 const testcase_beta<double> data004[10] = { - { 1.2168673582561288e-11, 40.000000000000000, 10.000000000000000 }, - { 1.7891885039182335e-17, 40.000000000000000, 20.000000000000000 }, - { 1.0539424603796547e-21, 40.000000000000000, 30.000000000000000 }, - { 4.6508509140090659e-25, 40.000000000000000, 40.000000000000000 }, - { 7.5161712118557719e-28, 40.000000000000000, 50.000000000000000 }, - { 3.0311331979886071e-30, 40.000000000000000, 60.000000000000000 }, - { 2.4175035070466313e-32, 40.000000000000000, 70.000000000000000 }, - { 3.2734839142758369e-34, 40.000000000000000, 80.000000000000000 }, - { 6.7690629601315579e-36, 40.000000000000000, 90.000000000000000 }, - { 1.9797337118812366e-37, 40.000000000000000, 100.00000000000000 }, + { 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 }, + { 7.5161712118557719e-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 }, + { 1.9797337118812366e-37, 40.000000000000000, 100.00000000000000, 0.0 }, }; -const double toler004 = 2.5000000000000015e-12; +const double toler004 = 2.5000000000000013e-09; // Test data for x=50.000000000000000. -// max(|f - f_GSL|): 2.4603755039546938e-32 -// max(|f - f_GSL| / |f_GSL|): 0.0000000000000000 +// max(|f - f_GSL|): 1.1204316897292397e-21 +// max(|f - f_GSL| / |f_GSL|): 7.0394881417720306e-10 +// mean(f - f_GSL): -1.1204318293025886e-22 +// variance(f - f_GSL): 1.5498364001411668e-45 +// stddev(f - f_GSL): 3.9367961594946298e-23 const testcase_beta<double> data005[10] = { - { 1.5916380099863291e-12, 50.000000000000000, 10.000000000000000 }, - { 4.3240677875623635e-19, 50.000000000000000, 20.000000000000000 }, - { 6.0118197777273836e-24, 50.000000000000000, 30.000000000000000 }, - { 7.5161712118557719e-28, 50.000000000000000, 40.000000000000000 }, - { 3.9646612085674138e-31, 50.000000000000000, 50.000000000000000 }, - { 5.8425643906418403e-34, 50.000000000000000, 60.000000000000000 }, - { 1.8672362180783552e-36, 50.000000000000000, 70.000000000000000 }, - { 1.0939382296458962e-38, 50.000000000000000, 80.000000000000000 }, - { 1.0442781609881063e-40, 50.000000000000000, 90.000000000000000 }, - { 1.4904121110954370e-42, 50.000000000000000, 100.00000000000000 }, + { 1.5916380099863291e-12, 50.000000000000000, 10.000000000000000, 0.0 }, + { 4.3240677875623635e-19, 50.000000000000000, 20.000000000000000, 0.0 }, + { 6.0118197777273836e-24, 50.000000000000000, 30.000000000000000, 0.0 }, + { 7.5161712118557719e-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 }, + { 1.0939382296458962e-38, 50.000000000000000, 80.000000000000000, 0.0 }, + { 1.0442781609881063e-40, 50.000000000000000, 90.000000000000000, 0.0 }, + { 1.4904121110954370e-42, 50.000000000000000, 100.00000000000000, 0.0 }, }; -const double toler005 = 2.5000000000000020e-13; +const double toler005 = 5.0000000000000024e-08; // Test data for x=60.000000000000000. -// max(|f - f_GSL|): 2.1911400503418824e-26 -// max(|f - f_GSL| / |f_GSL|): 7.4505871813842522e-14 +// max(|f - f_GSL|): 9.0985727438802444e-23 +// max(|f - f_GSL| / |f_GSL|): 3.0938099754905715e-10 +// mean(f - f_GSL): 9.0985743683683168e-24 +// variance(f - f_GSL): 1.0220253769966532e-47 +// stddev(f - f_GSL): 3.1969131627190834e-24 const testcase_beta<double> data006[10] = { - { 2.9408957938463963e-13, 60.000000000000000, 10.000000000000000 }, - { 1.8857342309689050e-20, 60.000000000000000, 20.000000000000000 }, - { 7.4279528553260165e-26, 60.000000000000000, 30.000000000000000 }, - { 3.0311331979886071e-30, 60.000000000000000, 40.000000000000000 }, - { 5.8425643906418403e-34, 60.000000000000000, 50.000000000000000 }, - { 3.4501231469782229e-37, 60.000000000000000, 60.000000000000000 }, - { 4.7706855386086599e-40, 60.000000000000000, 70.000000000000000 }, - { 1.2902663809722593e-42, 60.000000000000000, 80.000000000000000 }, - { 6.0105571058570508e-45, 60.000000000000000, 90.000000000000000 }, - { 4.3922898898347209e-47, 60.000000000000000, 100.00000000000000 }, + { 2.9408957938463963e-13, 60.000000000000000, 10.000000000000000, 0.0 }, + { 1.8857342309689050e-20, 60.000000000000000, 20.000000000000000, 0.0 }, + { 7.4279528553260165e-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 }, + { 1.2902663809722593e-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 = 5.0000000000000029e-12; +const double toler006 = 2.5000000000000012e-08; // Test data for x=70.000000000000000. -// max(|f - f_GSL|): 6.9041106424942953e-27 -// max(|f - f_GSL| / |f_GSL|): 9.9466182377295583e-14 +// max(|f - f_GSL|): 3.3337312341737893e-23 +// max(|f - f_GSL| / |f_GSL|): 4.8028419025367724e-10 +// mean(f - f_GSL): 3.3337311814398949e-24 +// variance(f - f_GSL): 1.3720695790252640e-48 +// stddev(f - f_GSL): 1.1713537377860130e-24 const testcase_beta<double> data007[10] = { - { 6.9411637980691676e-14, 70.000000000000000, 10.000000000000000 }, - { 1.2609804003539998e-21, 70.000000000000000, 20.000000000000000 }, - { 1.6212207780604767e-27, 70.000000000000000, 30.000000000000000 }, - { 2.4175035070466313e-32, 70.000000000000000, 40.000000000000000 }, - { 1.8672362180783552e-36, 70.000000000000000, 50.000000000000000 }, - { 4.7706855386086599e-40, 70.000000000000000, 60.000000000000000 }, - { 3.0453137143486369e-43, 70.000000000000000, 70.000000000000000 }, - { 4.0192274082013779e-46, 70.000000000000000, 80.000000000000000 }, - { 9.5865870063501807e-49, 70.000000000000000, 90.000000000000000 }, - { 3.7409127305819802e-51, 70.000000000000000, 100.00000000000000 }, + { 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 }, + { 3.0453137143486369e-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 = 5.0000000000000029e-12; +const double toler007 = 2.5000000000000012e-08; // Test data for x=80.000000000000000. -// max(|f - f_GSL|): 1.6786960063103131e-27 -// max(|f - f_GSL| / |f_GSL|): 8.5361997546557118e-14 +// max(|f - f_GSL|): 1.9079086931087787e-23 +// max(|f - f_GSL| / |f_GSL|): 9.7017504401032555e-10 +// mean(f - f_GSL): -1.9079087043730904e-24 +// variance(f - f_GSL): 4.4939699064476602e-49 +// stddev(f - f_GSL): 6.7037078594220229e-25 const testcase_beta<double> data008[10] = { - { 1.9665612972502651e-14, 80.000000000000000, 10.000000000000000 }, - { 1.1660809542079041e-22, 80.000000000000000, 20.000000000000000 }, - { 5.4783729715317616e-29, 80.000000000000000, 30.000000000000000 }, - { 3.2734839142758369e-34, 80.000000000000000, 40.000000000000000 }, - { 1.0939382296458962e-38, 80.000000000000000, 50.000000000000000 }, - { 1.2902663809722593e-42, 80.000000000000000, 60.000000000000000 }, - { 4.0192274082013779e-46, 80.000000000000000, 70.000000000000000 }, - { 2.7160590828669411e-49, 80.000000000000000, 80.000000000000000 }, - { 3.4593773902125368e-52, 80.000000000000000, 90.000000000000000 }, - { 7.4807039968503468e-55, 80.000000000000000, 100.00000000000000 }, + { 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 }, + { 1.0939382296458962e-38, 80.000000000000000, 50.000000000000000, 0.0 }, + { 1.2902663809722593e-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 = 5.0000000000000029e-12; +const double toler008 = 5.0000000000000024e-08; // Test data for x=90.000000000000000. -// max(|f - f_GSL|): 2.7373473411169110e-28 -// max(|f - f_GSL| / |f_GSL|): 4.2645896608047095e-14 +// max(|f - f_GSL|): 4.3336941575312027e-25 +// max(|f - f_GSL| / |f_GSL|): 6.7515828260787790e-11 +// mean(f - f_GSL): -4.3336941085471556e-26 +// variance(f - f_GSL): 2.3186302007970768e-52 +// stddev(f - f_GSL): 1.5227048961624432e-26 const testcase_beta<double> data009[10] = { - { 6.4187824828154399e-15, 90.000000000000000, 10.000000000000000 }, - { 1.3907944279729071e-23, 90.000000000000000, 20.000000000000000 }, - { 2.6183005659681346e-30, 90.000000000000000, 30.000000000000000 }, - { 6.7690629601315579e-36, 90.000000000000000, 40.000000000000000 }, - { 1.0442781609881063e-40, 90.000000000000000, 50.000000000000000 }, - { 6.0105571058570508e-45, 90.000000000000000, 60.000000000000000 }, - { 9.5865870063501807e-49, 90.000000000000000, 70.000000000000000 }, - { 3.4593773902125368e-52, 90.000000000000000, 80.000000000000000 }, - { 2.4416737907558032e-55, 90.000000000000000, 90.000000000000000 }, - { 3.0238531916564246e-58, 90.000000000000000, 100.00000000000000 }, + { 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 }, + { 1.0442781609881063e-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 }, + { 2.4416737907558032e-55, 90.000000000000000, 90.000000000000000, 0.0 }, + { 3.0238531916564246e-58, 90.000000000000000, 100.00000000000000, 0.0 }, }; -const double toler009 = 2.5000000000000015e-12; +const double toler009 = 5.0000000000000026e-09; // Test data for x=100.00000000000000. -// max(|f - f_GSL|): 1.6960509462251754e-29 -// max(|f - f_GSL| / |f_GSL|): 7.2309800883478868e-15 +// max(|f - f_GSL|): 8.1625173357209578e-25 +// max(|f - f_GSL| / |f_GSL|): 3.4800251995234896e-10 +// mean(f - f_GSL): 8.1625173533399292e-26 +// variance(f - f_GSL): 8.2255172276019113e-52 +// stddev(f - f_GSL): 2.8680162530226204e-26 const testcase_beta<double> data010[10] = { - { 2.3455339739604842e-15, 100.00000000000000, 10.000000000000000 }, - { 2.0365059099917614e-24, 100.00000000000000, 20.000000000000000 }, - { 1.6587948222122229e-31, 100.00000000000000, 30.000000000000000 }, - { 1.9797337118812366e-37, 100.00000000000000, 40.000000000000000 }, - { 1.4904121110954370e-42, 100.00000000000000, 50.000000000000000 }, - { 4.3922898898347209e-47, 100.00000000000000, 60.000000000000000 }, - { 3.7409127305819802e-51, 100.00000000000000, 70.000000000000000 }, - { 7.4807039968503468e-55, 100.00000000000000, 80.000000000000000 }, - { 3.0238531916564246e-58, 100.00000000000000, 90.000000000000000 }, - { 2.2087606931991853e-61, 100.00000000000000, 100.00000000000000 }, + { 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 }, + { 1.9797337118812366e-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 }, + { 3.0238531916564246e-58, 100.00000000000000, 90.000000000000000, 0.0 }, + { 2.2087606931991853e-61, 100.00000000000000, 100.00000000000000, 0.0 }, }; -const double toler010 = 5.0000000000000039e-13; +const double toler010 = 2.5000000000000012e-08; -template<typename Tp, unsigned int Num> +template<typename Ret, unsigned int Num> void - test(const testcase_beta<Tp> (&data)[Num], Tp toler) + test(const testcase_beta<Ret> (&data)[Num], Ret toler) { bool test __attribute__((unused)) = true; - const Tp eps = std::numeric_limits<Tp>::epsilon(); - Tp max_abs_diff = -Tp(1); - Tp max_abs_frac = -Tp(1); + 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 Tp f = std::beta(data[i].x, data[i].y); - const Tp f0 = data[i].f0; - const Tp diff = f - f0; + 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) > Tp(10) * eps - && std::abs(f) > Tp(10) * eps) + if (std::abs(f0) > Ret(10) * eps + && std::abs(f) > Ret(10) * eps) { - const Tp frac = diff / f0; + const Ret frac = diff / f0; if (std::abs(frac) > max_abs_frac) max_abs_frac = std::abs(frac); } |