code: def test_evaluate_mix_in_2(scoring_mix_in_fixture_2):
      scoring_mix_in_fixture_2 = _call_evaluate(
          scoring_mix_in_fixture_2
      )
      assert scoring_mix_in_fixture_2.last_evaluation_results == {
          _: None for _ in data_types
      }
  
imports: from hyperparameter_hunter.metrics import ScoringMixIn, Metric, format_metrics, wrap_xgboost_metric
  from hyperparameter_hunter.metrics import get_formatted_target_metric, get_clean_prediction
  from collections import OrderedDict
  import numpy
  import pandas
  import pytest
  import sys
  from sklearn.metrics import roc_auc_score, hamming_loss, r2_score, f1_score
label_desc: Use image node_id 23 for calling a global function with example usage: test_evaluate_mix_in_2(scoring_mix_in_fixture_2) without return types