code: def _legacy_patch_shapes(space: gym.Space) -> List[int]:
      """Assigns shapes to spaces that don't have shapes.
  
      This is only needed for older gym versions that don't set shapes properly
      for Tuple and Discrete spaces.
      """
  
      if not hasattr(space, "shape"):
          if isinstance(space, gym.spaces.Discrete):
              space.shape = ()
          elif isinstance(space, gym.spaces.Tuple):
              shapes = []
              for s in space.spaces:
                  shape = _legacy_patch_shapes(s)
                  shapes.append(shape)
              space.shape = tuple(shapes)
  
      return space.shape
  
imports: from collections import OrderedDict
  import logging
  import numpy
  import gymnasium
  from typing import Any, List
  from ray.rllib.utils.annotations import override, PublicAPI, DeveloperAPI
  from ray.rllib.utils.spaces.repeated import Repeated
  from ray.rllib.utils.typing import TensorType
  from ray.rllib.utils.images import resize
  from ray.rllib.utils.spaces.space_utils import convert_element_to_space_type
label_desc: Use image node_id 2 for calling a global function with example usage: _legacy_patch_shapes(space) and returns: space