code: def __init__(self, env_name, params):
      self.env = gym.make(env_name, params=params)
      self.env = ActionMappingWrapper(self.env)
      self._max_episode_steps = int(params["max_time_episode"])
      self.obs_dim = self.env.state_space.shape[0]
      self.action_dim = self.env.action_space.shape[0]
  
imports: import parl
  import carla
  import gym
  import gym_carla
  import numpy
  from parl.env import ActionMappingWrapper
label_desc: Use image node_id 1 to create a new LocalEnv object from inherited base classes: object with example: obj = LocalEnv(env_name, params)