def test_empty_inference_data_object(self): inference_data = InferenceData() here = os.path.dirname(os.path.abspath(__file__)) data_directory = os.path.join(here, "..", "saved_models") filepath = os.path.join(data_directory, "empty_test_file.nc") assert not os.path.exists(filepath) inference_data.to_netcdf(filepath) assert os.path.exists(filepath) os.remove(filepath) assert not os.path.exists(filepath)
def _226(obj: az.InferenceData) -> MonteCarloTensorFormat: ff = MonteCarloTensorFormat() obj.to_netcdf(str(ff)) return ff