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 __init__(
      self, env, max_random_steps, on_startup=True, every_episode=False
  ):
      gym.Wrapper.__init__(self, env)
      self.on_startup = on_startup
      self.every_episode = every_episode
      self.random_steps = max_random_steps
      self.last_obs = None
      if on_startup:
          self.some_random_steps()
  
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 1 to create a new StartDoingRandomActionsWrapper object from inherited base classes: gym with example: obj = StartDoingRandomActionsWrapper(env, max_random_steps, on_startup, every_episode)