code: def data_scorer_not_callable(self):
      params = {"scorer": np.zeros(10)}
      value = r"array\(\[0\., 0\., 0\., 0\., 0\., 0\., 0\., 0\., 0\., 0\.\]\)"
      match = self._msg_scorer.format(value=value)
      return params, TypeError, match
  
imports: import numpy
  from numpy.testing import assert_array_equal
  import pytest
  from sklearn.dummy import DummyRegressor
  from sklearn.metrics import mean_squared_error
  from sklearn.model_selection import KFold, ParameterGrid
  from sksurv.ensemble import ComponentwiseGradientBoostingSurvivalAnalysis
  from sksurv.kernels import ClinicalKernelTransform
  from sksurv.linear_model import IPCRidge
  from sksurv.meta import EnsembleSelection, EnsembleSelectionRegressor
  from sksurv.metrics import concordance_index_censored
  from sksurv.svm import FastKernelSurvivalSVM, FastSurvivalSVM
  from sksurv.testing import FixtureParameterFactory, assert_cindex_almost_equal
  from sksurv.tree import SurvivalTree
  from sksurv.util import check_array_survival
label_desc: Use image node_id 6 for calling the EnsembleSelectionFailureCases obj's underlying member method code with example usage: obj.data_scorer_not_callable() and returns: params,  TypeError,  match