code: def test_check_env_reset_incorrect_error(self):
      reset = MagicMock(return_value=5)
      env = make_multi_agent("CartPole-v1")({"num_agents": 2})
      env.reset = reset
      with pytest.raises(
          ValueError, match="The element returned by reset"
      ):
          check_env(env)
      bad_obs = {
          0: np.array([np.inf, np.inf, np.inf, np.inf]),
          1: np.array([np.inf, np.inf, np.inf, np.inf]),
      }
      env.reset = lambda *_: bad_obs
      with pytest.raises(
          ValueError, match="The observation collected from env"
      ):
          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 3 for calling the TestCheckMultiAgentEnv obj's underlying member method code with example usage: obj.test_check_env_reset_incorrect_error() without return types