code: def _parse_hp_space(spaces):
      if spaces is None:
          return None
      for space in spaces:
          if "cutFunc" in space and isinstance(space["cutFunc"], str):
              space["cutFunc"] = eval(space["cutFunc"])
      return spaces
  
imports: from typing import Any, Iterable, Tuple
  from copy import deepcopy
  import torch
  from ..module.feature import FEATURE_DICT
  from ..module.hpo import HPO_DICT
  from ..module.model import EncoderUniversalRegistry, DecoderUniversalRegistry, ModelUniversalRegistry
  from ..module.nas.algorithm import NAS_ALGO_DICT
  from ..module.nas.estimator import NAS_ESTIMATOR_DICT
  from ..module.nas.space import NAS_SPACE_DICT
  from ..module import BaseFeatureEngineer, BaseHPOptimizer, BaseTrainer
  from .utils import LeaderBoard
  from ..utils import get_logger
label_desc: Use image node_id 2 for calling a global function with example usage: _parse_hp_space(spaces) and returns: spaces, None