code: def step(self, action):
      reward = self._get_reward(action)
      self._choose_next_state()
      self.current_step += 1
      done = self.current_step >= self.ep_length
      return self.state, reward, done, {}
  
imports: import numpy
  from typing import Optional
  from gym import Env, Space
  from gym.spaces import Discrete, MultiDiscrete, MultiBinary, Box
label_desc: Use image node_id 3 for calling the IdentityEnv obj's underlying member method code with example usage: obj.step(action) and returns: self,  reward,  done,  dict