code: def test_value(self, input_data, thresholds, expected_score):
      fps_per_image, total_sensitivity = compute_froc_curve_data(
          **input_data
      )
      score = compute_froc_score(
          fps_per_image, total_sensitivity, thresholds
      )
      np.testing.assert_allclose(score, expected_score, rtol=1e-5)
  
file_path: MONAI/tests/test_compute_froc.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.metrics import compute_fp_tp_probs, compute_fp_tp_probs_nd, compute_froc_curve_data, compute_froc_score
label_desc: Use image node_id 1 for calling the TestComputeFrocScore obj's underlying member method code with example usage: obj.test_value(input_data, thresholds, expected_score) without return types