code: def test_space_order_by_search_runs(order_by, ascending_expected):
      (
          identifier_type,
          identifier_name,
          ascending,
      ) = SearchUtils.parse_order_by_for_search_runs(order_by)
      assert identifier_type == "metric"
      assert identifier_name == "Mean Square Error"
      assert ascending == ascending_expected
  
imports: import base64
  import json
  import re
  import pytest
  from mlflow.entities import Dataset, DatasetInput, InputTag, LifecycleStage, Metric, Param, Run, RunData, RunInfo, RunInputs, RunStatus, RunTag
  from mlflow.exceptions import MlflowException
  from mlflow.utils.mlflow_tags import MLFLOW_DATASET_CONTEXT
  from mlflow.utils.search_utils import SearchUtils
label_desc: Use image node_id 15 for calling a global function with example usage: test_space_order_by_search_runs(order_by, ascending_expected) without return types