code: def test_folds_combination_pairs_without_evidence_counts_proper_values(
      self,
  ):
      for fold_data in FOLDS_FIXTURES:
          (
              folds,
              expected_fold_count,
              expected_expected_fold_count_pairs,
          ) = (
              fold_data[0],
              fold_data[5],
              fold_data[7],
          )
          self.assertEqual(
              folds_label_combination_pairs_without_evidence(
                  FIXTURE_Y, folds, order=1
              ),
              expected_fold_count,
          )
          self.assertEqual(
              folds_label_combination_pairs_without_evidence(
                  FIXTURE_Y, folds, order=2
              ),
              expected_expected_fold_count_pairs,
          )
  
file_path: scikit-multilearn/skmultilearn/model_selection/tests/test_measures.py
imports: import unittest
  from .fixtures import FIXTURE_Y, FOLDS_FIXTURES
  from skmultilearn.model_selection import example_distribution, label_combination_distribution, percentage_of_label_combinations_without_evidence_per_fold, folds_without_evidence_for_at_least_one_label_combination, folds_label_combination_pairs_without_evidence
label_desc: Use image node_id 4 for calling the FoldMeasuresTests obj's underlying member method code with example usage: obj.test_folds_combination_pairs_without_evidence_counts_proper_values() without return types