code: def test_precision(self, input_data, expected_value):
      # include or ignore background
      result = get_confusion_matrix(**input_data)
      assert_allclose(result, expected_value, atol=1e-4, rtol=1e-4)
      np.testing.assert_equal(
          result.device, input_data["y_pred"].device
      )
  
file_path: MONAI/tests/test_compute_confusion_matrix.py
imports: from __future__ import annotations
  import unittest
  from typing import Any
  import numpy
  import torch
  from parameterized import parameterized
  from monai.metrics import ConfusionMatrixMetric, compute_confusion_matrix_metric, do_metric_reduction, get_confusion_matrix
  from tests.utils import assert_allclose
label_desc: Use image node_id 6 for calling the TestConfusionMatrix obj's underlying member method code with example usage: obj.test_precision(input_data, expected_value) without return types