code: def _check_multi_worker_weights(self, results: List[Dict[str, Any]]):
      # check that module weights are updated across workers and synchronized
      for i in range(1, len(results)):
          for module_id in results[i].keys():
              if module_id == ALL_MODULES:
                  continue
              current_weights = results[i][module_id]["mean_weight"]
              prev_weights = results[i - 1][module_id]["mean_weight"]
              self.assertEqual(current_weights, prev_weights)
  
imports: import gymnasium
  import itertools
  import numpy
  from typing import Any, Dict, List
  import tempfile
  import unittest
  import ray
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
  from ray.rllib.algorithms.ppo.tests.test_ppo_learner import FAKE_BATCH
  from ray.rllib.core.learner.learner import Learner
  from ray.rllib.core.rl_module.marl_module import MultiAgentRLModule
  from ray.rllib.core.rl_module.rl_module import SingleAgentRLModuleSpec
  from ray.rllib.core.testing.tf.bc_learner import BCTfLearner
  from ray.rllib.core.testing.tf.bc_module import DiscreteBCTFModule
  from ray.rllib.core.testing.utils import add_module_to_learner_or_learner_group
  from ray.rllib.core.testing.testing_learner import BaseTestingAlgorithmConfig
  from ray.rllib.examples.env.multi_agent import MultiAgentCartPole
  from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID, SampleBatch, MultiAgentBatch
  from ray.rllib.utils.test_utils import check, get_cartpole_dataset_reader
  from ray.rllib.utils.metrics import ALL_MODULES
  from ray.util.timer import _Timer
label_desc: Use image node_id 7 for calling the TestLearnerGroupSyncUpdate obj's underlying member method code with example usage: obj._check_multi_worker_weights(results) without return types