code: def test_same_result(self, im_shape, im_type):
      data = self.get_data(im_shape, im_type)
      loc = [0] + [int(im_shape[i] / 2) for i in range(len(im_shape))]
      k_intensity = 10
  
      t = KSpaceSpikeNoised(KEYS, loc, k_intensity)
      out1 = t(deepcopy(data))
      out2 = t(deepcopy(data))
  
      for k in KEYS:
          if isinstance(out1[k], torch.Tensor):
              out1[k] = out1[k].cpu()
              out2[k] = out2[k].cpu()
          np.testing.assert_allclose(out1[k], out2[k])
  
file_path: MONAI/tests/test_k_space_spike_noised.py
imports: from __future__ import annotations
  import unittest
  from copy import deepcopy
  import numpy
  import torch
  from numpy.fft import fftn, fftshift
  from parameterized import parameterized
  from monai.data.synthetic import create_test_image_2d, create_test_image_3d
  from monai.transforms import KSpaceSpikeNoised
  from monai.utils.misc import set_determinism
  from tests.utils import TEST_NDARRAYS, assert_allclose
label_desc: Use image node_id 4 for calling the TestKSpaceSpikeNoised obj's underlying member method code with example usage: obj.test_same_result(im_shape, im_type) without return types