Folks,

There are a few failures from Boost.Math (for example http://tinyurl.com/clvlq3) which I'm unable to reproduce locally - it seems only certain (possibly AMD x86-64 machines running Linux or *BSD) exhibit the problem. I can provide a test case to help with debugging what's going on, but I need to find someone who can reproduce the issue first. So... if you think you can help, then cd into libs/math/test and do a:

bjam gcc test_hypergeometric_dist0 test_hypergeometric_dist1 test_hypergeometric_dist2 test_hypergeometric_dist3 test_hypergeometric_dist4 test_hypergeometric_dist5

and if one or more fail then let me know the failure message and I'll put together a test case. I can reproduce the failure for dist1, dist2, dist3 and dist5. The full error message is too long for this list to accept, so I'm just posting

John Maddock wrote: the message of dist1. Linux x86-64, GCC 4.3.3 Running 1 test case... Checking quantiles with Mathematica data with type float ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Checking quantiles with Random large data with type float ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Absolute tolerance:1.19209e-07 Tolerance for type f is 0.000596046 % Checking quantiles with Mathematica data with type double ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Checking quantiles with Random large data with type double ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ test_hypergeometric_dist.cpp(240): error in "test_main_caller( argc, argv )": check quantile(du, cp) >= x failed Failure was with data x = 30520, r = 130605, n = 130605, N = 523360, p = 1.315394088731268169855067478460234e-53, q = 1 Absolute tolerance:2.22045e-16 Tolerance for type d is 1.11022e-12 % Checking quantiles with Mathematica data with type long double ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Checking quantiles with Random large data with type long double ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ test_hypergeometric_dist.cpp(240): error in "test_main_caller( argc, argv )": check quantile(du, cp) >= x failed Failure was with data x = 30520, r = 130605, n = 130605, N = 523360, p = 1.3153940887312682609778382091540272e-53, q = 1 test_hypergeometric_dist.cpp(240): error in "test_main_caller( argc, argv )": check quantile(du, cp) >= x failed Failure was with data x = 4770, r = 130605, n = 130605, N = 1030167, p = 1.22798082982754627280320578058046e-3094, q = 1 test_hypergeometric_dist.cpp(240): error in "test_main_caller( argc, argv )": check quantile(du, cp) >= x failed Failure was with data x = 15134, r = 256574, n = 130605, N = 1030167, p = 1.1105244685326902267944526554403882e-3545, q = 1 test_hypergeometric_dist.cpp(240): error in "test_main_caller( argc, argv )": check quantile(du, cp) >= x failed Failure was with data x = 11903, r = 256574, n = 256574, N = 2427690, p = 1.9101122505923986270675426093883161e-2808, q = 1 test_hypergeometric_dist.cpp(240): error in "test_main_caller( argc, argv )": check quantile(du, cp) >= x failed Failure was with data x = 241837, r = 523360, n = 523360, N = 1030167, p = 2.6242122183575062859028854854238337e-1957, q = 1 test_hypergeometric_dist.cpp(240): error in "test_main_caller( argc, argv )": check quantile(du, cp) >= x failed Failure was with data x = 208651, r = 2063277, n = 256574, N = 2427690, p = 4.0582793494211428626917554262141244e-625, q = 1 Absolute tolerance:2e-16 Tolerance for type e is 1e-12 % Checking quantiles with Mathematica data with type real_concept ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Absolute tolerance:2e-16 Tolerance for type N5boost4math8concepts12real_conceptE is 1e-12 % *** 7 failures detected in test suite "Test Program" EXIT STATUS: 201