code: def test_result(self, input_data, expected_val):
      loss = AsymmetricUnifiedFocalLoss()
      result = loss(**input_data)
      np.testing.assert_allclose(
          result.detach().cpu().numpy(),
          expected_val,
          atol=1e-4,
          rtol=1e-4,
      )
  
file_path: MONAI/tests/test_unified_focal_loss.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.losses import AsymmetricUnifiedFocalLoss
label_desc: Use image node_id 1 for calling the TestAsymmetricUnifiedFocalLoss obj's underlying member method code with example usage: obj.test_result(input_data, expected_val) without return types