code: def reset(self):
      obs_list = [env.reset() for env in self.env_list]
      if self.use_xparl:
          obs_list = [obs.get() for obs in obs_list]
      self.obs_list = np.array(obs_list)
      return self.obs_list
  
file_path: PARL/benchmark/torch/ppo/env_utils.py
imports: import parl
  import gym
  import numpy
  from parl.utils import logger
label_desc: Use image node_id 2 for calling the ParallelEnv obj's underlying member method code with example usage: obj.reset() and returns: self