code: def test_iter_patch(self, in_type, cb):
      shape = (10, 30, 30)
      input_img = in_type(get_arange_img(shape))
      for p, _ in iter_patch(
          input_img, patch_size=(None, 10, 30, None), copy_back=cb
      ):
          p += 1.0
          assert_allclose(
              p,
              in_type(get_arange_img(shape)) + 1.0,
              type_test=True,
              device_test=True,
          )
      assert_allclose(
          input_img,
          in_type(get_arange_img(shape)) + (1.0 if cb else 0.0),
          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 3 for calling the TestGridPatchDataset obj's underlying member method code with example usage: obj.test_iter_patch(in_type, cb) without return types