# it should be ground truth instead of None test_result = None def test_process_sample_some_model_name(): # initialize model model = InferenceModel() # load model weigths model.model_load() # process test sample ret = model.process_sample(test_image) # convert pydantic objects into dict ret = [pydantic.json.pydantic_encoder(item) for item in ret] # equal prediction with ground truth assert is_equal(ret, test_result)