code: def test_property_no_change(self):
      affine = torch.tensor(
          [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]],
          dtype=torch.float32,
          device="cpu",
      )
      affine[:3] *= (
          1 - 1e-4
      )  # make sure it's not exactly target but close to the target
      img = MetaTensor(
          torch.rand((1, 10, 9, 8), dtype=torch.float32),
          affine=affine,
          meta={"fname": "somewhere"},
      )
      tr = Spacing(pixdim=[1.0, 1.0, 1.0])
      tr(img)
      assert_allclose(tr.pixdim, [1.0, 1.0, 1.0], type_test=False)
  
file_path: MONAI/tests/test_spacing.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.config import USE_COMPILED
  from monai.data.meta_obj import set_track_meta
  from monai.data.meta_tensor import MetaTensor
  from monai.data.utils import affine_to_spacing
  from monai.transforms import Spacing
  from monai.utils import fall_back_tuple
  from tests.lazy_transforms_utils import test_resampler_lazy
  from tests.utils import TEST_DEVICES, TEST_NDARRAYS_ALL, assert_allclose, skip_if_quick
label_desc: Use image node_id 5 for calling the TestSpacingCase obj's underlying member method code with example usage: obj.test_property_no_change() without return types