code: def test_unstable_env(self):
      class UnstableEnv(gym.Env):
          observation_space = gym.spaces.Discrete(2)
          action_space = gym.spaces.Discrete(2)
  
          def step(self, action):
              if random.choice([True, False]):
                  raise ValueError(
                      "An error from a unstable environment."
                  )
              return (
                  self.observation_space.sample(),
                  0.0,
                  False,
                  False,
                  {},
              )
  
          def reset(self, *, seed=None, options=None):
              return self.observation_space.sample(), {}
  
      env = UnstableEnv()
      env = ResetOnExceptionWrapper(env)
  
      try:
          self._run_for_100_steps(env)
      except Exception:
          self.fail()
  
file_path: ray/rllib/env/wrappers/tests/test_exception_wrapper.py
imports: import random
  import unittest
  import gymnasium
  from ray.rllib.env.wrappers.exception_wrapper import ResetOnExceptionWrapper, TooManyResetAttemptsException
label_desc: Use image node_id 1 for calling the TestResetOnExceptionWrapper obj's underlying member method code with example usage: obj.test_unstable_env() and returns: self,  int,  False,  False,  dict, self,  dict