code: def test_missing_y_true_binary(
      missing_test_classes_binary_dataset_and_model,
  ):
      # Arrange
      _, test, model = missing_test_classes_binary_dataset_and_model
      check = SingleDatasetPerformance(scorers=["roc_auc"])
      # Act
      result = check.run(test, model)
      # Assert
      df = result.value
      assert_that(df, has_length(1))
      assert_that(df.loc[df["Metric"] == "roc_auc"]["Value"][0], none())
  
imports: from typing import List
  from hamcrest import assert_that, calling, close_to, equal_to, has_entries, has_items, has_length, instance_of, none, raises
  from sklearn.ensemble import AdaBoostClassifier, RandomForestClassifier
  from sklearn.model_selection import train_test_split
  from deepchecks.core import ConditionResult
  from deepchecks.core.errors import DeepchecksNotSupportedError, DeepchecksValueError, ModelValidationError
  from deepchecks.tabular.checks import SingleDatasetPerformance
  from deepchecks.tabular.dataset import Dataset
  from deepchecks.tabular.metric_utils.scorers import DEFAULT_MULTICLASS_SCORERS, DEFAULT_REGRESSION_SCORERS
  from tests.base.utils import equal_condition_result
  from tests.common import is_nan
label_desc: Use image node_id 5 for calling a global function with example usage: test_missing_y_true_binary(missing_test_classes_binary_dataset_and_model) without return types