code: def setup_class(cls):
      x = np.array(
          [
              77,
              87,
              88,
              114,
              151,
              210,
              219,
              246,
              253,
              262,
              296,
              299,
              306,
              376,
              428,
              515,
              666,
              1310,
              2611,
          ]
      )
  
      cls.get_results()  # attach k and results
      cls.tm = TrimmedMean(x, cls.k / 19)
  
imports: import numpy
  from numpy.testing import assert_equal, assert_allclose, assert_raises
  import pytest
  from statsmodels.stats.robust_compare import TrimmedMean, trim_mean, trimboth
  import statsmodels.stats.oneway
  from statsmodels.tools.testing import Holder
  from scipy.stats import trim1
label_desc: Use image node_id 1 for calling the TestTrimmedR1 obj's underlying member method code with example usage: obj.setup_class(cls) without return types