class_docstr: Environment wrapper for OpenAI Gym environments.
class_docstr_tok: ["Environment","wrapper","for","OpenAI","Gym","environments","."]
docstr: Returns the last info returned from env.step(action).
  
  Returns:
    info: dictionary of diagnostic information from the last environment step
docstr_tok: ["Returns","the","last","info","returned","from","env.step","(","action",")",".","Returns",":","info",":","dictionary","of","diagnostic","information","from","the","last","environment","step"]
code: def get_info(self) -> Optional[Dict[str, Any]]:
      """Returns the last info returned from env.step(action).
  
      Returns:
        info: dictionary of diagnostic information from the last environment step
      """
      return self._last_info
  
imports: from typing import Any, Dict, List, Optional
  from acme import specs
  from acme import types
  import dm_env
  import gym
  from gym import spaces
  import numpy
  import tree
label_desc: Use image node_id 6 for calling the GymWrapper obj's underlying member method code with example usage: obj.get_info() and returns: self