code: def nrrd_rw(self, test_data, reader, writer, dtype, resample=True):
      test_data = test_data.astype(dtype)
      ndim = len(test_data.shape)
      for p in TEST_NDARRAYS:
          output_ext = ".nrrd"
          filepath = f"testfile_{ndim}d"
          saver = SaveImage(
              output_dir=self.test_dir,
              output_ext=output_ext,
              resample=resample,
              separate_folder=False,
              writer=writer,
          ).set_options(init_kwargs={"affine_lps_to_ras": True})
          test_data = MetaTensor(
              p(test_data),
              meta={
                  "filename_or_obj": f"{filepath}{output_ext}",
                  "spatial_shape": test_data.shape,
              },
          )
          saver(test_data)
          saved_path = os.path.join(
              self.test_dir, filepath + "_trans" + output_ext
          )
          loader = LoadImage(image_only=True, reader=reader)
          data = loader(saved_path)
          assert_allclose(data, torch.as_tensor(test_data))
  
imports: from __future__ import annotations
  import itertools
  import os
  import shutil
  import tempfile
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.data.image_reader import ITKReader, NibabelReader, NrrdReader, PILReader
  from monai.data.image_writer import ITKWriter, NibabelWriter, PILWriter, register_writer, resolve_writer
  from monai.data.meta_tensor import MetaTensor
  from monai.transforms import LoadImage, SaveImage, moveaxis
  from monai.utils import MetaKeys, OptionalImportError, optional_import
  from tests.utils import TEST_NDARRAYS, assert_allclose
label_desc: Use image node_id 3 for calling the TestLoadSaveNrrd obj's underlying member method code with example usage: obj.nrrd_rw(test_data, reader, writer, dtype, resample) without return types