code: def test_patch_iter(
      self, in_type, input_parameters, image, expected, coords
  ):
      input_image = in_type(image)
      patch_iterator = PatchIter(**input_parameters)(input_image)
      for (result_image, result_loc), expected_patch, coord in zip(
          patch_iterator, expected, coords
      ):
          assert_allclose(
              result_image,
              in_type(expected_patch),
              type_test=True,
              device_test=True,
          )
          assert_allclose(
              result_loc, coord, type_test=True, device_test=True
          )
  
imports: from __future__ import annotations
  import sys
  import unittest
  import numpy
  from parameterized import parameterized
  from monai.data import DataLoader, GridPatchDataset, PatchIter, PatchIterd, iter_patch
  from monai.transforms import RandShiftIntensity, RandShiftIntensityd
  from monai.utils import set_determinism
  from tests.utils import TEST_NDARRAYS, assert_allclose, get_arange_img
label_desc: Use image node_id 4 for calling the TestGridPatchDataset obj's underlying member method code with example usage: obj.test_patch_iter(in_type, input_parameters, image, expected, coords) without return types