class_docstr: Atari environment wrapper for gym.Env.
  
  This wrapper convert the observations returned from baselines wrapped
  environment, which is a LazyFrames object into numpy arrays.
  
  Args:
      env (gym.Env): The environment to be wrapped.
class_docstr_tok: ["Atari","environment","wrapper","for","gym.Env",".","This","wrapper","convert","the","observations","returned","from","baselines","wrapped","environment",",","which","is","a","LazyFrames","object","into","numpy","arrays",".","Args",":","env","(","gym.Env",")",":","The","environment","to","be","wrapped","."]
code: def __init__(self, env):
      super().__init__(env)
  
imports: import gym
  import numpy
label_desc: Use image node_id 1 to create a new AtariEnv object from inherited base classes: gym with example: obj = AtariEnv(env)