code: def test_checkpointing(self):
      env = gym.make("CartPole-v1")
      module = DiscreteBCTFModule(
          config=RLModuleConfig(
              env.observation_space,
              env.action_space,
              model_config_dict={"fcnet_hiddens": [32]},
          )
      )
      with tempfile.TemporaryDirectory() as tmpdir:
          module.save_to_checkpoint(tmpdir)
          new_module = DiscreteBCTFModule.from_checkpoint(tmpdir)
  
      check(module.get_state(), new_module.get_state())
      self.assertNotEqual(id(module), id(new_module))
  
file_path: ray/rllib/core/rl_module/tf/tests/test_tf_rl_module.py
imports: import tempfile
  import unittest
  from typing import Mapping
  import gymnasium
  import tensorflow
  from ray.rllib.core.rl_module.rl_module import RLModuleConfig
  from ray.rllib.core.rl_module.tf.tf_rl_module import TfRLModule
  from ray.rllib.core.testing.tf.bc_module import DiscreteBCTFModule
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.test_utils import check
label_desc: Use image node_id 5 for calling the TestRLModule obj's underlying member method code with example usage: obj.test_checkpointing() without return types