# test.extra.test_distributions module — Python(P)DEVS-BBL documentation

# test.extra.test_distributions module

Test all the distributions, making sure they do what they say they do.

Based on the Kolmogorov-Smirnov goodness-of-fit test for continuous distributions, the TestDistributions will actually test the goodness of all generators listed in `pypdevsbbl.extra.rngstreams.distributions`.

See also

`pypdevsbbl.extra.rngstreams.distributions`

class `test.extra.test_distributions.``TestDistributions`(methodName='runTest')

  Bases: `unittest.case.TestCase`

  `setUp`()
  `test_beta`()
  `test_binomial`()
  `test_cauchy`()
  `test_chiSquare`()
  `test_exponential`()
  `test_F`()
  `test_frechet`()
  `test_gamma`()
  `test_geometric`()
  `test_gumbel`()
  `test_JSB`()
  `test_JSU`()
  `test_laplace`()
  `test_logistic`()
  `test_loglogistic`()
  `test_lognormal`()
  `test_negbinomial`()
  `test_normal`()
  `test_pareto`()
  `test_poisson`()
  `test_PT5`()
  `test_PT6`()
  `test_student`()
  `test_triangular`()
  `test_uniform`()
  `test_uniformInt`()
  `test_wald`()
  `test_weibull`()
  `test_zipf`()