code: def data_0p25(self):
      return 0.25, 0.25 * self.n_features, does_not_raise()
  
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 5 for calling the MaxFeaturesCases obj's underlying member method code with example usage: obj.data_0p25() and returns: int,  unknown,  does_not_raise