code: def test_step(self):
      step = MagicMock(return_value=(5, 5, True, {}))
      env = RandomEnv()
      env.step = step
      error = ".*The observation collected from env.step.*"
      with pytest.raises(ValueError, match=error):
          check_env(env)
  
      # check reset that returns obs of incorrect type fails
      step = MagicMock(return_value=(float(0.1), 5, True, {}))
      env.step = step
      with pytest.raises(ValueError, match=error):
          check_env(env)
  
      # check step that returns reward of non float/int fails
      step = MagicMock(return_value=(1, "Not a valid reward", True, {}))
      env.step = step
      error = "Your step function must return a reward that is integer or float."
      with pytest.raises(ValueError, match=error):
          check_env(env)
  
      # check step that returns a non bool fails
      step = MagicMock(
          return_value=(1, float(5), "not a valid done signal", {})
      )
      env.step = step
      error = "Your step function must return a done that is a boolean."
      with pytest.raises(ValueError, match=error):
          check_env(env)
  
      # check step that returns a non dict fails
      step = MagicMock(
          return_value=(1, float(5), True, "not a valid env info")
      )
      env.step = step
      error = "Your step function must return a info that is a dict."
      with pytest.raises(ValueError, match=error):
          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 TestGymCheckEnv obj's underlying member method code with example usage: obj.test_step() without return types