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","."]
docstr: gym.Env reset function.
docstr_tok: ["gym.Env","reset","function","."]
code: def reset(self, **kwargs):
      """gym.Env reset function."""
      return np.asarray(self.env.reset())
  
imports: import gym
  import numpy
label_desc: Use image node_id 3 for calling the AtariEnv obj's underlying member method code with example usage: obj.reset() and returns: np