code: def __init__(self, env_name, train_envs_params):
      self.env_list = [
          CarlaRemoteEnv(env_name=env_name, params=params)
          for params in train_envs_params
      ]
      self.env_num = len(self.env_list)
  
      self.episode_steps_list = [0] * self.env_num
      self._max_episode_steps = train_envs_params[0]["max_time_episode"]
  
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 ParallelEnv object from inherited base classes: object with example: obj = ParallelEnv(env_name, train_envs_params)