code: def mock_databricks_tracking_store():
      experiment_id = "test-exp-id"
      run_id = "runid"
  
      class MockDatabricksTrackingStore:
          def __init__(self, run_id, experiment_id):
              self.run_id = run_id
              self.experiment_id = experiment_id
  
          def get_run(
              self, *args, **kwargs
          ):  # pylint: disable=unused-argument
              return Run(
                  RunInfo(
                      self.run_id,
                      self.experiment_id,
                      "userid",
                      "status",
                      0,
                      1,
                      None,
                  ),
                  None,
              )
  
      mock_tracking_store = MockDatabricksTrackingStore(
          run_id, experiment_id
      )
  
      with mock.patch(
          "mlflow.tracking._tracking_service.utils._tracking_store_registry.get_store",
          return_value=mock_tracking_store,
      ):
          yield mock_tracking_store
  
imports: import pickle
  from unittest import mock
  import pytest
  from mlflow import MlflowClient
  from mlflow.entities import ExperimentTag, Run, RunInfo, RunStatus, RunTag, SourceType, ViewType
  from mlflow.entities.metric import Metric
  from mlflow.entities.model_registry import ModelVersion, ModelVersionTag
  from mlflow.entities.model_registry.model_version_status import ModelVersionStatus
  from mlflow.entities.param import Param
  from mlflow.exceptions import MlflowException
  from mlflow.store.model_registry.sqlalchemy_store import SqlAlchemyStore
  from mlflow.store.tracking import SEARCH_MAX_RESULTS_DEFAULT
  from mlflow.store.tracking.sqlalchemy_store import SqlAlchemyStore
  from mlflow.tracking import set_registry_uri
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS
  from mlflow.tracking._model_registry.utils import _get_store_registry
  from mlflow.tracking._tracking_service.utils import _tracking_store_registry
  from mlflow.utils.databricks_utils import _construct_databricks_run_url, get_databricks_runtime
  from mlflow.utils.mlflow_tags import MLFLOW_GIT_COMMIT, MLFLOW_PARENT_RUN_ID, MLFLOW_PROJECT_ENTRY_POINT, MLFLOW_SOURCE_NAME, MLFLOW_SOURCE_TYPE, MLFLOW_USER
label_desc: Use image node_id 4 for calling a global function with example usage: mock_databricks_tracking_store() and returns: Run