code: def test_missing_included_max(self):
      losses = self.losses_df.iloc[:, :20].copy()
      losses = losses.values + 5 * np.arange(20)[None, :]
      mcs = MCS(losses, 0.05, reps=200, method="max", seed=23456)
      mcs.compute()
      assert len(mcs.included) > 0
      assert (len(mcs.included) + len(mcs.excluded)) == 20
  
imports: from typing import NamedTuple
  import numpy
  from numpy import linspace
  from numpy.random import RandomState
  from numpy.testing import assert_allclose, assert_equal
  import pandas
  from pandas.testing import assert_frame_equal, assert_series_equal
  import pytest
  import scipy.stats
  from arch.bootstrap import CircularBlockBootstrap, MovingBlockBootstrap, StationaryBootstrap
  from arch.bootstrap.multiple_comparison import MCS, SPA, StepM
label_desc: Use image node_id 10 for calling the TestMCS obj's underlying member method code with example usage: obj.test_missing_included_max() without return types