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 some_random_steps(self):
      self.last_obs = self.env.reset()
      n = np.random.randint(self.random_steps)
      # print("running for random %i frames" % n)
      for _ in range(n):
          self.last_obs, _, done, _ = self.env.step(
              self.env.action_space.sample()
          )
          if done:
              self.last_obs = self.env.reset()
  
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 2 for calling the StartDoingRandomActionsWrapper obj's underlying member method code with example usage: obj.some_random_steps() without return types