code: def test_one_fold(self, dummy_test_preds):
      bound_dict = evaluate_bounds(
          dummy_test_preds[1],
          dummy_test_preds[0],
          [["S-MHA", "S-MHA Error", "S-MHA Uncertainty"]],
          5,
          [0, 1],
          num_folds=1,
      )
      all_bound_percents = bound_dict["Error Bounds All"]
      all_bound_percents_notargetsep = bound_dict[
          "all_bound_percents_notargetsep"
      ]
  
      assert list(all_bound_percents.keys()) == ["U-NET S-MHA"]
      assert len(all_bound_percents["U-NET S-MHA"]) == 5
  
      assert list(all_bound_percents_notargetsep.keys()) == [
          "U-NET S-MHA"
      ]
      assert len(all_bound_percents_notargetsep["U-NET S-MHA"]) == 5
      assert len(all_bound_percents_notargetsep["U-NET S-MHA"][0]) == 2
  
file_path: pykale/tests/evaluate/test_uncertainty_metrics.py
imports: import logging
  import pytest
  from kale.evaluate.uncertainty_metrics import evaluate_bounds, evaluate_jaccard
  from kale.prepdata.tabular_transform import generate_struct_for_qbin
  from kale.utils.seed import set_seed
label_desc: Use image node_id 2 for calling the TestEvaluateBounds obj's underlying member method code with example usage: obj.test_one_fold(dummy_test_preds) without return types