code: def test_norm_false(self, variance, expected):
      extent = 6
      atol = 1e-4
      sigma = np.sqrt(variance)
      k_erf = gaussian_1d(
          sigma, truncated=extent / sigma, approx="erf", normalize=False
      ).numpy()
      k_sampled = gaussian_1d(
          sigma, truncated=extent / sigma, approx="sampled"
      ).numpy()
      k_scalespace = gaussian_1d(
          sigma, truncated=extent / sigma, approx="scalespace"
      ).numpy()
      np.testing.assert_allclose(k_erf, expected[0], atol=atol)
      np.testing.assert_allclose(k_sampled, expected[1], atol=atol)
      np.testing.assert_allclose(k_scalespace, expected[2], atol=atol)
  
file_path: MONAI/tests/test_gaussian.py
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.networks.layers.convutils import gaussian_1d
label_desc: Use image node_id 3 for calling the TestGaussian1d obj's underlying member method code with example usage: obj.test_norm_false(variance, expected) without return types