code: def test_example_distribution_calculates_proper_value(self):
      n_samples = float(FIXTURE_Y.shape[0])
      for fold_data in FOLDS_FIXTURES:
          folds, expected_ed = fold_data[0], fold_data[1]
          equal_distribution = [
              n_samples / len(folds) for _ in range(len(folds))
          ]
          self.assertEqual(
              example_distribution(folds, equal_distribution),
              expected_ed,
          )
  
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 1 for calling the FoldMeasuresTests obj's underlying member method code with example usage: obj.test_example_distribution_calculates_proper_value() without return types