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