code: def step(self, action):
      reward = 1
      self._choose_next_state()
      self.current_step += 1
      done = self.current_step >= self.ep_length
      return self.state, reward, done, {}
  
imports: import collections
  import functools
  import itertools
  import multiprocessing
  import pytest
  import gym
  import numpy
  from stable_baselines.common.vec_env import DummyVecEnv, SubprocVecEnv, VecNormalize, VecFrameStack
label_desc: Use image node_id 3 for calling the CustomGymEnv obj's underlying member method code with example usage: obj.step(action) and returns: self,  reward,  done,  dict