code: def test_dataclass_from_dict_to_dict():
      root: RootDataclass = SOME_ROOT_DATACLASS
  
      root_as_dict = root.to_dict()
      root_restored = RootDataclass.from_dict(root_as_dict)
  
      assert (
          SOME_METRIC_RESULTS_DATACLASS
          == root_restored[SOME_FULL_SCOPED_LOCATION]
      )
      assert root == root_restored
  
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 5 for calling a global function with example usage: test_dataclass_from_dict_to_dict() without return types