code: def test_default(self, im_type):
      im = im_type(self.imt.copy())
      normalizer = NormalizeIntensity()
      normalized = normalizer(im)
      self.assertTrue(normalized.dtype in (np.float32, torch.float32))
      expected = (self.imt - np.mean(self.imt)) / np.std(self.imt)
      assert_allclose(
          normalized, expected, type_test="tensor", rtol=1e-3
      )
  
file_path: MONAI/tests/test_normalize_intensity.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.transforms import NormalizeIntensity
  from tests.utils import TEST_NDARRAYS, NumpyImageTestCase2D, assert_allclose
label_desc: Use image node_id 1 for calling the TestNormalizeIntensity obj's underlying member method code with example usage: obj.test_default(im_type) without return types