code: def _validate_autologging_run(autologging_integration, run_id):
      """
      For testing purposes, verifies that an MLflow run produced by an `autologging_integration`
      satisfies the following properties:
  
          - The run has an autologging tag whose value is the name of the autologging integration
          - The run has a terminal status (e.g., KILLED, FAILED, FINISHED)
      """
      client = MlflowClient()
      run = client.get_run(run_id)
      autologging_tag_value = run.data.tags.get(MLFLOW_AUTOLOGGING)
      assert autologging_tag_value == autologging_integration, (
          f"Autologging run with id {run_id} failed to set autologging tag with expected value. "
          f"Expected: '{autologging_integration}', Actual: '{autologging_tag_value}'"
      )
      assert RunStatus.is_terminated(
          RunStatus.from_string(run.info.status)
      ), f"Autologging run with id {run_id} has a non-terminal status '{run.info.status}'"
  
imports: import abc
  import functools
  import inspect
  import itertools
  import typing
  import uuid
  from abc import abstractmethod
  from contextlib import contextmanager
  import mlflow
  import mlflow.utils.autologging_utils
  from mlflow.entities.run_status import RunStatus
  from mlflow.environment_variables import _MLFLOW_AUTOLOGGING_TESTING
  from mlflow.tracking.client import MlflowClient
  from mlflow.utils import gorilla, is_iterator
  from mlflow.utils.autologging_utils import _logger
  from mlflow.utils.autologging_utils.events import AutologgingEventLogger
  from mlflow.utils.autologging_utils.logging_and_warnings import set_mlflow_events_and_warnings_behavior_globally, set_non_mlflow_warnings_behavior_for_current_thread
  from mlflow.utils.mlflow_tags import MLFLOW_AUTOLOGGING
label_desc: Use image node_id 12 for calling a global function with example usage: _validate_autologging_run(autologging_integration, run_id) without return types