code: def test_huber_huberT(self):
      n = scale.norms.HuberT()
      n.t = 1.5
      h = scale.Huber(norm=n)
      assert_almost_equal(
          scale.huber(self.chem)[0], h(self.chem)[0], DECIMAL
      )
      assert_almost_equal(
          scale.huber(self.chem)[1], h(self.chem)[1], DECIMAL
      )
  
imports: import numpy
  from numpy.random import standard_normal
  from numpy.testing import assert_almost_equal, assert_equal
  import pytest
  from scipy.stats import norm
  import statsmodels.api
  import statsmodels.robust.scale
  from statsmodels.robust.scale import mad
label_desc: Use image node_id 9 for calling the TestChem obj's underlying member method code with example usage: obj.test_huber_huberT() without return types