code: def test_doctor_databricks_runtime(capsys):
      mock_version = "12.0-cpu-ml-scala2.12"
      with mock.patch(
          "mlflow.utils.doctor.get_databricks_runtime",
          return_value=mock_version,
      ) as mock_runtime:
          mlflow.doctor()
          mock_runtime.assert_called_once()
          captured = capsys.readouterr()
          assert (
              f"Databricks runtime version: {mock_version}"
              in captured.out
          )
  
imports: from unittest import mock
  import mlflow
label_desc: Use image node_id 3 for calling a global function with example usage: test_doctor_databricks_runtime(capsys) without return types