code: def setUpClass(cls) -> None:
      arr = np.random.rand(2, 10, 8, 7)
      affine = make_rand_affine()
      data = {"i": make_nifti_image(arr, affine)}
  
      loader = LoadImaged("i", image_only=True)
      cls.data = loader(data)
  
file_path: MONAI/tests/test_splitdimd.py
imports: from __future__ import annotations
  import unittest
  from copy import deepcopy
  import numpy
  import torch
  from parameterized import parameterized
  from monai.data.meta_tensor import MetaTensor
  from monai.transforms import LoadImaged
  from monai.transforms.utility.dictionary import SplitDimd
  from tests.utils import TEST_NDARRAYS, assert_allclose, make_nifti_image, make_rand_affine
label_desc: Use image node_id 1 for calling the TestSplitDimd obj's underlying member method code with example usage: obj.setUpClass(cls) without return types