code: def setup_class(cls):
      cls.gind = gind = np.repeat([0, 1, 2], [3, 5, 10])
      cls.mlag = 10  # maxlag
      x = np.arange(18)
      x += 10**gind
      cls.x = x[:, None]
  
      # expected result
      cls.alle = {
          0: np.array(
              [
                  [
                      1,
                      2,
                      3,
                      13,
                      14,
                      15,
                      16,
                      17,
                      108,
                      109,
                      110,
                      111,
                      112,
                      113,
                      114,
                      115,
                      116,
                      117,
                  ]
              ]
          ),
          1: np.array(
              [
                  [
                      2,
                      3,
                      14,
                      15,
                      16,
                      17,
                      109,
                      110,
                      111,
                      112,
                      113,
                      114,
                      115,
                      116,
                      117,
                  ]
              ]
          ),
          2: np.array(
              [[3, 15, 16, 17, 110, 111, 112, 113, 114, 115, 116, 117]]
          ),
          3: np.array([[16, 17, 111, 112, 113, 114, 115, 116, 117]]),
          4: np.array([[17, 112, 113, 114, 115, 116, 117]]),
          5: np.array([[113, 114, 115, 116, 117]]),
      }
      cls.calculate()
  
file_path: statsmodels/statsmodels/stats/tests/test_groups_sw.py
imports: import numpy
  from numpy.testing import assert_equal, assert_raises
  import statsmodels.stats.sandwich_covariance
  from statsmodels.tools.grouputils import GroupSorted
label_desc: Use image node_id 1 for calling the TestUnBalanced obj's underlying member method code with example usage: obj.setup_class(cls) without return types