code: def _modified_step(
      self,
      obs=None,
      reward=0,
      terminated=False,
      truncated=False,
      info=None,
  ):
      if obs is None:
          obs = self.observation_space.sample()
      if info is None:
          info = {}
  
      if truncated is None:
          return obs, reward, terminated, info
      else:
          return obs, reward, terminated, truncated, info
  
imports: import re
  import warnings
  from typing import Dict, Union
  import numpy
  import pytest
  import gym
  from gym import spaces
  from gym.utils.passive_env_checker import check_action_space, check_obs, check_observation_space, env_render_passive_checker, env_reset_passive_checker, env_step_passive_checker
  from tests.testing_env import GenericTestEnv
label_desc: Use image node_id 10 for calling a global function with example usage: _modified_step(obs, reward, terminated, truncated, info) and returns: obs,  reward,  terminated,  info, obs,  reward,  terminated,  truncated,  info