code: def setup_class(cls):
      x0 = np.linspace(-0.2, 0.2, 11)
      cls.params = np.column_stack((x0, x0))
      cls.pen = smpen.PseudoHuber(0.1)
  
imports: import numpy
  from numpy.testing import assert_allclose, assert_equal
  import statsmodels.base._penalties
  from statsmodels.tools.numdiff import approx_fprime, approx_hess
label_desc: Use image node_id 1 for calling the TestPseudoHuber obj's underlying member method code with example usage: obj.setup_class(cls) without return types