code: def test_shape(self):
      # test Iterable input data
      test_dataset = iter(["vwxyz", "helloworld", "worldfoobar"])
      result = GridPatchDataset(
          data=test_dataset,
          patch_iter=identity_generator,
          with_coordinates=False,
      )
      output = []
      n_workers = 0 if sys.platform == "win32" else 2
      for item in DataLoader(
          result, batch_size=3, num_workers=n_workers
      ):
          output.append("".join(item))
      if sys.platform == "win32":
          expected = [
              "ar",
              "ell",
              "ldf",
              "oob",
              "owo",
              "rld",
              "vwx",
              "wor",
              "yzh",
          ]
      else:
          expected = [
              "d",
              "dfo",
              "hel",
              "low",
              "oba",
              "orl",
              "orl",
              "r",
              "vwx",
              "yzw",
          ]
          self.assertEqual(
              len("".join(expected)), len("".join(list(test_dataset)))
          )
      self.assertEqual(sorted(output), sorted(expected))
  
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 6 for calling the TestGridPatchDataset obj's underlying member method code with example usage: obj.test_shape() without return types