code: def test_from_dict():
      for cfg_class in [
          RLHFConfigProblemBase,
          CausalConfigProblemBase,
          Seq2SeqConfigProblemBase,
          CausalClassificationConfigProblemBase,
      ]:
          cfg = cfg_class()
          cfg_dict = convert_cfg_base_to_nested_dictionary(cfg)
          cfg2 = cfg_class.from_dict(cfg_dict)  # type: ignore
          cfg_dict_2 = convert_cfg_base_to_nested_dictionary(cfg2)
          for k, v in cfg_dict.items():
              if isinstance(v, dict):
                  for k2, v2 in v.items():
                      assert cfg_dict_2[k][k2] == v2
              assert cfg_dict_2[k] == v
  
imports: from llm_studio.python_configs.text_causal_classification_modeling_config import ConfigProblemBase
  from llm_studio.python_configs.text_causal_language_modeling_config import ConfigProblemBase
  from llm_studio.python_configs.text_rlhf_language_modeling_config import ConfigProblemBase
  from llm_studio.python_configs.text_sequence_to_sequence_modeling_config import ConfigProblemBase
  from llm_studio.src.utils.config_utils import NON_GENERATION_PROBLEM_TYPES, convert_cfg_base_to_nested_dictionary
label_desc: Use image node_id 1 for calling a global function with example usage: test_from_dict() without return types