distcont = [ ['alpha', (3.5704770516650459,)], ['anglit', ()], ['arcsine', ()], ['beta', (2.3098496451481823, 0.62687954300963677)], ['betaprime', (5, 6)], # avoid unbound error in entropy with (100, 86)], ['bradford', (0.29891359763170633,)], ['burr', (10.5, 4.3)], #incorrect mean and var for(0.94839838075366045, 4.3820284068855795)], ['cauchy', ()], ['chi', (78,)], ['chi2', (55,)], ['cosine', ()], ['dgamma', (1.1023326088288166,)], ['dweibull', (2.0685080649914673,)], ['erlang', (20,)], #correction numargs = 1 ['expon', ()], ['exponpow', (2.697119160358469,)], ['exponweib', (2.8923945291034436, 1.9505288745913174)], ['f', (29, 18)], #['fatiguelife', (29,)], #correction numargs = 1, variance very large ['fatiguelife', (2,)], ['fisk', (3.0857548622253179,)], ['foldcauchy', (4.7164673455831894,)], ['foldnorm', (1.9521253373555869,)], ['frechet_l', (3.6279911255583239,)], ['frechet_r', (1.8928171603534227,)], ['gamma', (1.9932305483800778,)], ['gausshyper', (13.763771604130699, 3.1189636648681431, 2.5145980350183019, 5.1811649903971615)], #veryslow ['genexpon', (9.1325976465418908, 16.231956600590632, 3.2819552690843983)], ['genextreme', (-0.1,)], # sample mean test fails for (3.3184017469423535,)], ['gengamma', (4.4162385429431925, 3.1193091679242761)], ['genhalflogistic', (0.77274727809929322,)], ['genlogistic', (0.41192440799679475,)], ['genpareto', (0.1,)], # use case with finite moments ['gilbrat', ()], ['gompertz', (0.94743713075105251,)], ['gumbel_l', ()], ['gumbel_r', ()], ['halfcauchy', ()], ['halflogistic', ()], ['halfnorm', ()], ['hypsecant', ()], #['invgamma', (2.0668996136993067,)], #convergence problem with expect #['invgamma', (3.0,)], ['invgamma', (5.0,)], #kurtosis requires alpha > 4 ['invnorm', (0.14546264555347513,)], ['invweibull', (10.58,)], # sample mean test fails at(0.58847112119264788,)] ['johnsonsb', (4.3172675099141058, 3.1837781130785063)], ['johnsonsu', (2.554395574161155, 2.2482281679651965)], ['ksone', (1000,)], #replace 22 by 100 to avoid failing range, ticket 956 ['kstwobign', ()], ['laplace', ()], ['levy', ()], ['levy_l', ()], # ['levy_stable', (0.35667405469844993, # -0.67450531578494011)], #NotImplementedError # rvs not tested ['loggamma', (0.41411931826052117,)], ['logistic', ()], ['loglaplace', (3.2505926592051435,)], ['lognorm', (0.95368226960575331,)], ['lomax', (1.8771398388773268,)], #this has infinite variance ['lomax', (10,)], #first 4 moments are finite ['maxwell', ()], ['mielke', (10.4, 3.6)], # sample mean test fails for (4.6420495492121487, 0.59707419545516938)], # mielke: good results if 2nd parameter >2, weird mean or var below ['nakagami', (4.9673794866666237,)], ['ncf', (27, 27, 0.41578441799226107)], ['nct', (14, 0.24045031331198066)], ['ncx2', (21, 1.0560465975116415)], ['norm', ()], ['pareto', (2.621716532144454,)], ['powerlaw', (1.6591133289905851,)], ['powerlognorm', (2.1413923530064087, 0.44639540782048337)], ['powernorm', (4.4453652254590779,)], ['rayleigh', ()], ['rdist', (0.9,)], # feels also slow # ['rdist', (3.8266985793976525,)], #veryslow, especially rvs #['rdist', (541.0,)], # from ticket #758 #veryslow ['recipinvgauss', (0.63004267809369119,)], ['reciprocal', (0.0062309367010521255, 1.0062309367010522)], ['rice', (0.7749725210111873,)], ['semicircular', ()], ['t', (2.7433514990818093,)], ['triang', (0.15785029824528218,)], ['truncexpon', (4.6907725456810478,)], ['truncnorm', (-1.0978730080013919, 2.7306754109031979)], ['tukeylambda', (3.1321477856738267,)], ['uniform', ()], ['vonmises', (3.9939042581071398,)], ['wald', ()], ['weibull_max', (2.8687961709100187,)], ['weibull_min', (1.7866166930421596,)], ['wrapcauchy', (0.031071279018614728,)]] distdiscrete = [ ['bernoulli',(0.3,)], ['binom', (5, 0.4)], ['boltzmann',(1.4, 19)], ['dlaplace', (0.8,)], #0.5 ['geom', (0.5,)], ['hypergeom',(30, 12, 6)], ['hypergeom',(21,3,12)], #numpy.random (3,18,12) numpy ticket:921 ['hypergeom',(21,18,11)], #numpy.random (18,3,11) numpy ticket:921 ['logser', (0.6,)], # reenabled, numpy ticket:921 ['nbinom', (5, 0.5)], ['nbinom', (0.4, 0.4)], #from tickets: 583 ['planck', (0.51,)], #4.1 ['poisson', (0.6,)], ['randint', (7, 31)], ['skellam', (15, 8)], ['zipf', (4,)] ] # arg=4 is ok, # Zipf broken for arg = 2, e.g. weird .stats # looking closer, mean, var should be inf for arg=2 distslow = ['rdist', 'gausshyper', 'recipinvgauss', 'ksone', 'genexpon', 'vonmises', 'rice', 'mielke', 'semicircular', 'cosine', 'invweibull', 'powerlognorm', 'johnsonsu', 'kstwobign']