code: def test_loading_dict(self):
      set_determinism(seed=1234)
      # test sequence input data with dict
      data = [
          {
              "image": np.arange(16, dtype=float).reshape(1, 4, 4),
              "label": np.arange(16, dtype=float).reshape(1, 4, 4),
              "metadata": "test string",
          },
          {
              "image": np.arange(16, dtype=float).reshape(1, 4, 4),
              "label": np.arange(16, dtype=float).reshape(1, 4, 4),
              "metadata": "test string",
          },
      ]
      # image level
      patch_intensity = RandShiftIntensityd(
          keys="image", offsets=1.0, prob=1.0
      )
      patch_iter = PatchIterd(
          keys=["image", "label"], patch_size=(2, 2), start_pos=(0, 0)
      )
      ds = GridPatchDataset(
          data=data,
          patch_iter=patch_iter,
          transform=patch_intensity,
          with_coordinates=True,
      )
      # use the grid patch dataset
      for item in DataLoader(
          ds, batch_size=2, shuffle=False, num_workers=0
      ):
          np.testing.assert_equal(item[0]["image"].shape, (2, 1, 2, 2))
          np.testing.assert_equal(item[0]["label"].shape, (2, 1, 2, 2))
          self.assertListEqual(
              item[0]["metadata"], ["test string", "test string"]
          )
      np.testing.assert_allclose(
          item[0]["image"],
          np.array(
              [
                  [[[8.708934, 9.708934], [12.708934, 13.708934]]],
                  [[[10.8683, 11.8683], [14.8683, 15.8683]]],
              ]
          ),
          rtol=1e-4,
      )
      np.testing.assert_allclose(
          item[1],
          np.array(
              [[[0, 1], [2, 4], [0, 2]], [[0, 1], [2, 4], [2, 4]]]
          ),
          rtol=1e-5,
      )
      if sys.platform != "win32":
          for item in DataLoader(
              ds, batch_size=2, shuffle=False, num_workers=2
          ):
              np.testing.assert_equal(
                  item[0]["image"].shape, (2, 1, 2, 2)
              )
          np.testing.assert_allclose(
              item[0]["image"],
              np.array(
                  [
                      [[[7.27427, 8.27427], [11.27427, 12.27427]]],
                      [[[9.4353, 10.4353], [13.4353, 14.4353]]],
                  ]
              ),
              rtol=1e-3,
          )
          np.testing.assert_allclose(
              item[1],
              np.array(
                  [[[0, 1], [2, 4], [0, 2]], [[0, 1], [2, 4], [2, 4]]]
              ),
              rtol=1e-5,
          )
  
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 8 for calling the TestGridPatchDataset obj's underlying member method code with example usage: obj.test_loading_dict() without return types