code: def test_value_class(self, input_data, expected_value):
      # same test as for compute_dice
      vals = {"y_pred": input_data.pop("y_pred")}
      vals["y"] = input_data.pop("y")
      dice_metric = DiceMetric(**input_data)
      dice_metric(**vals)
      result = dice_metric.aggregate(reduction="none")
      np.testing.assert_allclose(
          result.cpu().numpy(), expected_value, atol=1e-4
      )
  
file_path: MONAI/tests/test_compute_meandice.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.metrics import DiceHelper, DiceMetric, compute_dice
label_desc: Use image node_id 4 for calling the TestComputeMeanDice obj's underlying member method code with example usage: obj.test_value_class(input_data, expected_value) without return types