code: def test_store_object_can_be_serialized_by_pickle(tmp_path):
      """
      This test ensures a store object generated by `_get_store` can be serialized by pickle
      to prevent issues such as https://github.com/mlflow/mlflow/issues/2954
      """
      pickle.dump(
          _get_store(f"file:///{tmp_path.joinpath('mlflow')}"),
          io.BytesIO(),
      )
      pickle.dump(_get_store("databricks"), io.BytesIO())
      pickle.dump(_get_store("https://example.com"), io.BytesIO())
  
imports: import io
  import itertools
  import os
  import pickle
  from importlib import reload
  from pathlib import Path
  from unittest import mock
  import pytest
  import mlflow
  from mlflow.environment_variables import MLFLOW_TRACKING_INSECURE_TLS, MLFLOW_TRACKING_PASSWORD, MLFLOW_TRACKING_TOKEN, MLFLOW_TRACKING_URI, MLFLOW_TRACKING_USERNAME
  from mlflow.exceptions import MlflowException
  from mlflow.store.db.db_types import DATABASE_ENGINES
  from mlflow.store.tracking.file_store import FileStore
  from mlflow.store.tracking.rest_store import RestStore
  from mlflow.store.tracking.sqlalchemy_store import SqlAlchemyStore
  from mlflow.tracking._tracking_service.registry import TrackingStoreRegistry
  from mlflow.tracking._tracking_service.utils import _get_store, _resolve_tracking_uri, get_tracking_uri, set_tracking_uri
  from mlflow.tracking.registry import UnsupportedModelRegistryStoreURIException
  from mlflow.utils.file_utils import path_to_local_file_uri
  from mlflow.utils.os import is_windows
label_desc: Use image node_id 22 for calling a global function with example usage: test_store_object_can_be_serialized_by_pickle(tmp_path) without return types