code: def test_databricks_job_run_context_in_context():
      with mock.patch(
          "mlflow.utils.databricks_utils.is_in_databricks_job"
      ) as in_job_mock:
          assert (
              DatabricksJobRunContext().in_context()
              == in_job_mock.return_value
          )
  
imports: from unittest import mock
  from mlflow.entities import SourceType
  from mlflow.tracking.context.databricks_job_context import DatabricksJobRunContext
  from mlflow.utils.mlflow_tags import MLFLOW_DATABRICKS_JOB_ID, MLFLOW_DATABRICKS_JOB_RUN_ID, MLFLOW_DATABRICKS_JOB_TYPE, MLFLOW_DATABRICKS_WEBAPP_URL, MLFLOW_DATABRICKS_WORKSPACE_ID, MLFLOW_DATABRICKS_WORKSPACE_URL, MLFLOW_SOURCE_NAME, MLFLOW_SOURCE_TYPE
  from tests.helper_functions import multi_context
label_desc: Use image node_id 1 for calling a global function with example usage: test_databricks_job_run_context_in_context() without return types