def test__validate_distribution_fqn(self):
"""Test the ``_validate_distribution`` method passing a FQN distribution name.
If the input is an importable FQN of a Python object, return the input.
Input:
- A univariate distribution FQN.
Output:
- The corresponding class.
"""
out = GaussianCopula._validate_distribution('copulas.univariate.GaussianUnivariate')
assert out == 'copulas.univariate.GaussianUnivariate'
def test__validate_distribution_distribution_name(self):
"""Test the ``_validate_distribution`` method passing a valid distribution name.
If the input is one keys from the ``_DISTRIBUTIONS`` dict, the value should be returned.
Input:
- A key from the ``_DISTRIBUTIONS`` dict.
Output:
- The corresponding value.
"""
out = GaussianCopula._validate_distribution('gaussian_kde')
assert out is GaussianKDE
def test__validate_distribution_none(self):
"""Test the ``_validate_distribution`` method if None is passed.
If None is passed, it should just return None.
Input:
- None
Output:
- None
"""
out = GaussianCopula._validate_distribution(None)
assert out is None
def test__validate_distribution_not_str(self):
"""Test the ``_validate_distribution`` method if something that is not an str is passed.
If the input is not an str, it should be returned without modification.
Input:
- a dummy object
Output:
- the same dummy object
"""
dummy = object()
out = GaussianCopula._validate_distribution(dummy)
assert out is dummy
