class_docstr: Warning: can eat info dicts, not good if you depend on them
class_docstr_tok: ["Warning",":","can","eat","info","dicts",",","not","good","if","you","depend","on","them"]
code: def step(self, a):
      self.last_obs, rew, done, info = self.env.step(a)
      if done:
          self.last_obs = self.env.reset()
          if self.every_episode:
              self.some_random_steps()
      return self.last_obs, rew, done, info
  
imports: from collections import deque
  import cv2
  from .atari_wrappers import WarpFrame, ClipRewardEnv, FrameStack, ScaledFloatFrame
  from .wrappers import TimeLimit
  import numpy
  import gym
label_desc: Use image node_id 4 for calling the StartDoingRandomActionsWrapper obj's underlying member method code with example usage: obj.step(a) and returns: self,  rew,  done,  info