def test__get_univariate_error(self):
"""If something else is passed, rasie a TypeError."""
distribution = 123
ct = GaussianCopulaTransformer(distribution=distribution)
with pytest.raises(TypeError):
ct._get_univariate()
def test__get_univariate_class(self):
"""If a class is passed, create an instance without args."""
distribution = copulas.univariate.Univariate
ct = GaussianCopulaTransformer(distribution=distribution)
univariate = ct._get_univariate()
assert isinstance(univariate, copulas.univariate.Univariate)
def test__get_univariate_instance(self):
"""If a univariate instance is passed, make a copy."""
distribution = copulas.univariate.Univariate()
ct = GaussianCopulaTransformer(distribution=distribution)
univariate = ct._get_univariate()
assert univariate is not distribution
assert isinstance(univariate, copulas.univariate.Univariate)
assert dir(univariate) == dir(distribution)
def test__get_univariate_tuple(self):
"""If a tuple is passed, create an instance using the given args."""
distribution = (copulas.univariate.Univariate, {
'candidates': 'a_candidates_list'
})
ct = GaussianCopulaTransformer(distribution=distribution)
univariate = ct._get_univariate()
assert isinstance(univariate, copulas.univariate.Univariate)
assert univariate.candidates == 'a_candidates_list'