class_docstr: A DM Control Suite preprocessing wrapper.
  
  Attributes:
    environment: The underlying environment that is wrapped for preprocessing.
    game_over: True when the last environment step led to a game over signal.
class_docstr_tok: ["A","DM","Control","Suite","preprocessing","wrapper",".","Attributes",":","environment",":","The","underlying","environment","that","is","wrapped","for","preprocessing",".","game_over",":","True","when","the","last","environment","step","led","to","a","game","over","signal","."]
docstr: The action space for the processed environment.
docstr_tok: ["The","action","space","for","the","processed","environment","."]
code: def action_space(self) -> spaces.Box:
      """The action space for the processed environment."""
      action_spec = self.environment.action_spec()
      return spaces.Box(
          low=action_spec.minimum,
          high=action_spec.maximum,
          dtype=np.float32,
      )
  
imports: import collections
  from typing import Any, Mapping, Tuple
  from dm_control import suite
  from dm_control.rl import control
  import dm_env
  from dm_env import specs
  import gin
  import gym
  from gym import spaces
  import numpy
label_desc: Use image node_id 3 for calling the DeepmindControlPreprocessing obj's underlying member method code with example usage: obj.action_space() and returns: spaces