code: def test_nans(self, input_data):
      [seg_1, seg_2, spacing] = input_data
      seg_1 = torch.tensor(seg_1)
      seg_2 = torch.tensor(seg_2)
      hd_metric = HausdorffDistanceMetric(
          include_background=False, get_not_nans=True
      )
      batch_seg_1 = seg_1.unsqueeze(0).unsqueeze(0)
      batch_seg_2 = seg_2.unsqueeze(0).unsqueeze(0)
      hd_metric(batch_seg_1, batch_seg_2, spacing=spacing)
      result, not_nans = hd_metric.aggregate()
      np.testing.assert_allclose(0, result, rtol=1e-7)
      np.testing.assert_allclose(0, not_nans, rtol=1e-7)
  
file_path: MONAI/tests/test_hausdorff_distance.py
imports: from __future__ import annotations
  import unittest
  from itertools import product
  import numpy
  import torch
  from parameterized import parameterized
  from monai.metrics import HausdorffDistanceMetric
label_desc: Use image node_id 2 for calling the TestHausdorffDistance obj's underlying member method code with example usage: obj.test_nans(input_data) without return types