code: def test_read_patches_cucim(self, input_parameters, expected):
      froc = LesionFROC(**input_parameters)
      froc_score = froc.evaluate()
      if np.isnan(expected):
          self.assertTrue(np.isnan(froc_score))
      else:
          self.assertAlmostEqual(froc_score, expected)
  
file_path: MONAI/tests/test_lesion_froc.py
imports: from __future__ import annotations
  import os
  import unittest
  from unittest import skipUnless
  import numpy
  from parameterized import parameterized
  from monai.apps.pathology.metrics import LesionFROC
  from monai.utils import optional_import
label_desc: Use image node_id 2 for calling the TestEvaluateTumorFROC obj's underlying member method code with example usage: obj.test_read_patches_cucim(input_parameters, expected) without return types