code: def test_base_empty_default_dataclass_getters(
      dataclass_type: Type[BaseDataclass],
      scope: ScopedLocation,
  ):
      root: RootDataclass = RootDataclass()
  
      dc = root[scope]
  
      assert isinstance(dc, dataclass_type)
      assert dc.get_id() == scope.as_list()[-1]
  
file_path: Neuraxle/testing_neuraxle/metaopt/test_automl_dataclasses.py
imports: import copy
  from typing import List, Type
  import pytest
  from neuraxle.base import TrialStatus
  from neuraxle.hyperparams.space import HyperparameterSamples
  from neuraxle.metaopt.data.vanilla import DEFAULT_CLIENT, DEFAULT_PROJECT, NULL_CLIENT, NULL_PROJECT, NULL_ROUND, NULL_TRIAL, NULL_TRIAL_SPLIT, RETRAIN_TRIAL_SPLIT_ID, BaseDataclass, ClientDataclass, MetricResultsDataclass, ProjectDataclass, RootDataclass, RoundDataclass, ScopedLocation, TrialDataclass, TrialSplitDataclass, as_named_odict, dataclass_2_id_attr, from_json, to_json
label_desc: Use image node_id 2 for calling a global function with example usage: test_base_empty_default_dataclass_getters(dataclass_type, scope) without return types