code: def _get_databricks_uc_rest_store(store_uri, **_):
      from mlflow.exceptions import MlflowException
      from mlflow.version import VERSION
  
      global _tracking_store_registry
      supported_schemes = [
          scheme
          for scheme in _tracking_store_registry._registry
          if scheme != _DATABRICKS_UNITY_CATALOG_SCHEME
      ]
      raise MlflowException(
          f"Detected Unity Catalog tracking URI '{store_uri}'. "
          "Setting the tracking URI to a Unity Catalog backend is not supported in the current "
          f"version of the MLflow client ({VERSION}). "
          "Please specify a different tracking URI via mlflow.set_tracking_uri, with "
          "one of the supported schemes: "
          f"{supported_schemes}. If you're trying to access models in the Unity "
          "Catalog, please upgrade to the latest version of the MLflow Python "
          "client, then specify a Unity Catalog model registry URI via "
          f"mlflow.set_registry_uri('{_DATABRICKS_UNITY_CATALOG_SCHEME}') or "
          f"mlflow.set_registry_uri('{_DATABRICKS_UNITY_CATALOG_SCHEME}://profile_name'), where "
          "'profile_name' is the name of the Databricks CLI profile to use for "
          "authentication. Be sure to leave the tracking URI configured to use "
          "one of the supported schemes listed above."
      )
  
imports: import logging
  import os
  from contextlib import contextmanager
  from functools import partial
  from pathlib import Path
  from typing import Union
  from mlflow.environment_variables import MLFLOW_TRACKING_AUTH, MLFLOW_TRACKING_AWS_SIGV4, MLFLOW_TRACKING_CLIENT_CERT_PATH, MLFLOW_TRACKING_INSECURE_TLS, MLFLOW_TRACKING_SERVER_CERT_PATH, MLFLOW_TRACKING_TOKEN, MLFLOW_TRACKING_URI
  from mlflow.store.db.db_types import DATABASE_ENGINES
  from mlflow.store.tracking import DEFAULT_LOCAL_FILE_AND_ARTIFACT_PATH
  from mlflow.store.tracking.file_store import FileStore
  from mlflow.store.tracking.rest_store import RestStore
  from mlflow.tracking._tracking_service.registry import TrackingStoreRegistry
  from mlflow.utils import rest_utils
  from mlflow.utils.credentials import read_mlflow_creds
  from mlflow.utils.databricks_utils import get_databricks_host_creds
  from mlflow.utils.file_utils import path_to_local_file_uri
  from mlflow.utils.uri import _DATABRICKS_UNITY_CATALOG_SCHEME
label_desc: Use image node_id 11 for calling a global function with example usage: _get_databricks_uc_rest_store(store_uri) without return types