code: def clip_action(action, action_space):
      """Clips all components in `action` according to the given Space.
  
      Only applies to Box components within the action space.
  
      Args:
          action: The action to be clipped. This could be any complex
              action, e.g. a dict or tuple.
          action_space: The action space struct,
              e.g. `{"a": Distrete(2)}` for a space: Dict({"a": Discrete(2)}).
  
      Returns:
          Any: The input action, but clipped by value according to the space's
              bounds.
      """
  
      def map_(a, s):
          if isinstance(s, gym.spaces.Box):
              a = np.clip(a, s.low, s.high)
          return a
  
      return tree.map_structure(map_, action, action_space)
  
file_path: ray/rllib/utils/spaces/space_utils.py
imports: import gymnasium
  from gymnasium.spaces import Tuple, Dict
  import numpy
  from ray.rllib.utils.annotations import DeveloperAPI
  import tree
  from typing import Any, List, Optional, Union
label_desc: Use image node_id 8 for calling a global function with example usage: clip_action(action, action_space) and returns: tree, a