docstr: Tests, whether some algo can be run with the generic AlgorithmConfig.
docstr_tok: ["Tests",",","whether","some","algo","can","be","run","with","the","generic","AlgorithmConfig","."]
code: def test_running_specific_algo_with_generic_config(self):
      """Tests, whether some algo can be run with the generic AlgorithmConfig."""
      config = (
          AlgorithmConfig(algo_class=PPO)
          .environment("CartPole-v0")
          .training(lr=0.12345, train_batch_size=3000)
      )
      algo = config.build()
      self.assertTrue(algo.config.lr == 0.12345)
      self.assertTrue(algo.config.train_batch_size == 3000)
      algo.train()
      algo.stop()
  
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 3 for calling the TestAlgorithmConfig obj's underlying member method code with example usage: obj.test_running_specific_algo_with_generic_config() without return types