code: def test_rl_module_api(self):
      config = (
          PPOConfig()
          .experimental(_enable_new_api_stack=True)
          .environment("CartPole-v1")
          .framework("torch")
          .rollouts(enable_connectors=True)
      )
  
      self.assertEqual(
          config.rl_module_spec.module_class, PPOTorchRLModule
      )
  
      class A:
          pass
  
      config = config.rl_module(
          rl_module_spec=SingleAgentRLModuleSpec(A)
      )
      self.assertEqual(config.rl_module_spec.module_class, A)
  
imports: import gymnasium
  from typing import Type
  import unittest
  import ray
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
  from ray.rllib.algorithms.callbacks import make_multi_callbacks
  from ray.rllib.algorithms.ppo import PPO, PPOConfig
  from ray.rllib.algorithms.ppo.tf.ppo_tf_learner import PPOTfLearner
  from ray.rllib.algorithms.ppo.torch.ppo_torch_rl_module import PPOTorchRLModule
  from ray.rllib.core.rl_module.rl_module import SingleAgentRLModuleSpec, RLModule
  from ray.rllib.core.rl_module.marl_module import MultiAgentRLModuleSpec, MultiAgentRLModule
  from ray.rllib.utils.test_utils import check
label_desc: Use image node_id 8 for calling the TestAlgorithmConfig obj's underlying member method code with example usage: obj.test_rl_module_api() without return types