code: def test_table_names_default_group_order(self):
      t = self.res._results_table
      # if the group_order parameter is not used, the groups should
      # be reported in alphabetical order
      expected_order = [
          (b"medical", b"mental"),
          (b"medical", b"physical"),
          (b"mental", b"physical"),
      ]
      for i in range(1, 4):
          first_group = t[i][0].data
          second_group = t[i][1].data
          assert_((first_group, second_group) == expected_order[i - 1])
  
imports: from statsmodels.compat.python import asbytes
  from io import BytesIO
  import warnings
  import numpy
  import pandas
  import pytest
  from numpy.testing import assert_, assert_allclose, assert_almost_equal, assert_equal, assert_raises
  from statsmodels.stats.libqsturng import qsturng
  from statsmodels.stats.multicomp import tukeyhsd, pairwise_tukeyhsd, MultiComparison
label_desc: Use image node_id 2 for calling the TestTuckeyHSD2 obj's underlying member method code with example usage: obj.test_table_names_default_group_order() without return types