code: def __init__(self, env):
      super().__init__()
      self.par_env = env
      self.par_env.reset()
      self._agent_ids = set(self.par_env.agents)
  
      self.observation_space = gym.spaces.Dict(
          self.par_env.observation_spaces
      )
      self.action_space = gym.spaces.Dict(self.par_env.action_spaces)
  
imports: from typing import Optional
  import gymnasium
  from ray.rllib.env.multi_agent_env import MultiAgentEnv
  from ray.rllib.utils.annotations import PublicAPI
  from ray.rllib.utils.typing import MultiAgentDict
label_desc: Use image node_id 1 to create a new ParallelPettingZooEnv object from inherited base classes: MultiAgentEnv with example: obj = ParallelPettingZooEnv(env)