code: def test_client_synchronous_flush_operates_correctly():
      original_log_batch = MlflowClient().log_batch
  
      def mock_log_batch(
          run_id, metrics=(), params=(), tags=()
      ):  # pylint: disable=unused-argument
          # Sleep to simulate a long-running logging operation
          time.sleep(3)
          return original_log_batch(run_id, metrics, params, tags)
  
      with mock.patch(
          "mlflow.utils.autologging_utils.client.MlflowClient.log_batch"
      ) as log_batch_mock:
          log_batch_mock.side_effect = mock_log_batch
  
          with mlflow.start_run() as run:
              client = MlflowAutologgingQueueingClient()
              client.log_params(
                  run_id=run.info.run_id, params={"a": "b"}
              )
              client.flush(synchronous=True)
  
              # Parameter data should be available after the synchronous flush call returns
              logged_params = get_run_data(run.info.run_id)[0]
              assert logged_params == {"a": "b"}
  
imports: import time
  from unittest import mock
  import pytest
  import mlflow
  from mlflow import MlflowClient
  from mlflow.exceptions import MlflowException
  from mlflow.utils import _truncate_dict
  from mlflow.utils.autologging_utils import MlflowAutologgingQueueingClient
  from mlflow.utils.validation import MAX_ENTITY_KEY_LENGTH, MAX_METRICS_PER_BATCH, MAX_PARAM_VAL_LENGTH, MAX_PARAMS_TAGS_PER_BATCH, MAX_TAG_VAL_LENGTH
label_desc: Use image node_id 9 for calling a global function with example usage: test_client_synchronous_flush_operates_correctly() and returns: original_log_batch