code: def test_image_normalize_intensityd(self, im_type):
      key = "img"
      im = im_type(self.imt)
      normalizer = NormalizeIntensityd(keys=[key])
      normalized = normalizer({key: im})[key]
      expected = (self.imt - np.mean(self.imt)) / np.std(self.imt)
      assert_allclose(
          normalized, im_type(expected), rtol=1e-3, type_test="tensor"
      )
  
file_path: MONAI/tests/test_normalize_intensityd.py
imports: from __future__ import annotations
  import unittest
  import numpy
  from parameterized import parameterized
  from monai.transforms import NormalizeIntensityd
  from tests.utils import TEST_NDARRAYS, NumpyImageTestCase2D, assert_allclose
label_desc: Use image node_id 1 for calling the TestNormalizeIntensityd obj's underlying member method code with example usage: obj.test_image_normalize_intensityd(im_type) without return types