code: def test_real_data(self, filepath):
      # Read image
      image = self.reader.read(os.path.join(self.data_dir, filepath))
      image[:] = self.remove_border(image)
      ndim = image.ndim
  
      # Random ddf
      ddf = (
          10 * torch.rand((1, ndim, *image.shape), dtype=torch.float32)
          - 10
      )
  
      # Warp with MONAI
      image_tensor = (
          torch.tensor(
              itk.GetArrayFromImage(image), dtype=torch.float32
          )
          .unsqueeze(0)
          .unsqueeze(0)
      )
      img_resampled = self.monai_warp(image_tensor, ddf)
  
      # Warp with ITK
      itk_img_resampled = self.itk_warp(image, ddf.squeeze().numpy())
  
      # Compare
      np.testing.assert_allclose(
          img_resampled, itk_img_resampled, rtol=1e-3, atol=1e-3
      )
  
imports: from __future__ import annotations
  import itertools
  import os
  import tempfile
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  import monai
  import monai.transforms
  from monai.apps import download_url
  from monai.data import ITKReader
  from monai.data.itk_torch_bridge import get_itk_image_center, itk_image_to_metatensor, itk_to_monai_affine, metatensor_to_itk_image, monai_to_itk_affine, monai_to_itk_ddf
  from monai.networks.blocks import Warp
  from monai.transforms import Affine
  from monai.utils import optional_import, set_determinism
  from tests.utils import assert_allclose, skip_if_downloading_fails, skip_if_quick, test_is_quick, testing_data_config
label_desc: Use image node_id 14 for calling the TestITKTorchAffineMatrixBridge obj's underlying member method code with example usage: obj.test_real_data(filepath) without return types