code: def setup_class(cls):
      np.random.seed(54321)
      cls.X = standard_normal((40, 10, 30))
      cls.h = scale.Huber(maxiter=1000, tol=1.0e-05)
  
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 1 for calling the TestHuberAxes obj's underlying member method code with example usage: obj.setup_class(cls) without return types