code: def test_bad_sample_function(self):
      env = self._make_base_env()
      bad_action = {0: {0: 2, 1: 2}}
      env.action_space_sample = lambda *_: bad_action
      with pytest.raises(
          ValueError,
          match="The action collected from action_space_sample",
      ):
          check_env(env)
  
      env = self._make_base_env()
      bad_obs = {
          0: {
              0: np.array([np.inf, np.inf, np.inf, np.inf]),
              1: np.array([np.inf, np.inf, np.inf, np.inf]),
          }
      }
      env.observation_space_sample = lambda *_: bad_obs
      with pytest.raises(
          ValueError,
          match="The observation collected from observation_space_sample",
      ):
          check_env(env)
  
imports: import logging
  import unittest
  from unittest.mock import MagicMock, Mock
  import gymnasium
  import numpy
  import pytest
  from gymnasium.spaces import Box, Dict, Discrete
  from ray.rllib.env.base_env import convert_to_base_env
  from ray.rllib.env.multi_agent_env import MultiAgentEnvWrapper, make_multi_agent
  from ray.rllib.examples.env.parametric_actions_cartpole import ParametricActionsCartPole
  from ray.rllib.examples.env.random_env import RandomEnv
  from ray.rllib.utils.pre_checks.env import check_base_env, check_env, check_gym_environments, check_multiagent_environments
label_desc: Use image node_id 5 for calling the TestCheckBaseEnv obj's underlying member method code with example usage: obj.test_bad_sample_function() without return types