def test__get_model(self):
"""Test get model"""
# Setup
sampler = Mock(spec=Sampler)
sampler._unflatten_dict.return_value = {'unflatten': 'dict'}
sampler._unflatten_gaussian_copula.return_value = {
'unflatten': 'gaussian'
}
table_model = Mock()
table_model.to_dict.return_value = {
'distribution':
'copulas.multivariate.gaussian.GaussianMultivariate'
}
# Run
extension = {'extension': 'dict'}
Sampler._get_model(sampler, extension, table_model)
# Asserts
sampler._unflatten_dict.assert_called_once_with({'extension': 'dict'})
expected_unflatten_gaussian_call = {
'unflatten': 'dict',
'fitted': True,
'distribution':
'copulas.multivariate.gaussian.GaussianMultivariate'
}
sampler._unflatten_gaussian_copula.assert_called_once_with(
expected_unflatten_gaussian_call)
table_model.from_dict.assert_called_once_with(
{'unflatten': 'gaussian'})
def test__get_model(self, qualified_name):
"""Retrieve the model with parameters"""
# Setup
unflatten_dict_mock = Mock()
unflatten_dict_mock.return_value = dict()
qualified_name.return_value = 'copulas.multivariate.gaussian.GaussianMultivariate'
unflatten_gaussian_mock = Mock()
unflatten_gaussian_mock.return_value = None
model_mock = Mock()
model_mock.from_dict.return_value = None
modeler_mock = Mock()
modeler_mock.model = model_mock
# Run
sampler_mock = Mock()
sampler_mock._unflatten_dict = unflatten_dict_mock
sampler_mock.modeler = modeler_mock
sampler_mock._unflatten_gaussian_copula = unflatten_gaussian_mock
Sampler._get_model(sampler_mock, None)
# Asserts
exp_unflatten_gaussian_called = {
'fitted': True,
'type': 'copulas.multivariate.gaussian.GaussianMultivariate'
}
qualified_name.assert_called_once_with(modeler_mock.model)
unflatten_dict_mock.assert_called_once_with(None)
unflatten_gaussian_mock.assert_called_once_with(
exp_unflatten_gaussian_called)
model_mock.from_dict.assert_called_once_with(None)
