code: def data_fail_me(self):
      return (
          "fail_me",
          None,
          pytest.raises(
              ValueError,
              match=MaxFeaturesCases._prefix
              + r"Got 'fail_me' instead\.",
          ),
      )
  
imports: from contextlib import nullcontext
  from os.path import dirname, join
  import numpy
  from numpy.testing import assert_array_almost_equal, assert_array_equal
  import pandas
  import pytest
  from sklearn.metrics import mean_squared_error
  from sksurv.column import categorical_to_numeric, standardize
  from sksurv.datasets import load_whas500
  from sksurv.ensemble import ComponentwiseGradientBoostingSurvivalAnalysis, GradientBoostingSurvivalAnalysis
  from sksurv.testing import FixtureParameterFactory, assert_cindex_almost_equal
  from sksurv.util import Surv
label_desc: Use image node_id 9 for calling the MaxFeaturesCases obj's underlying member method code with example usage: obj.data_fail_me() and returns: str,  None,  pytest