code: def test_predict_func_disabled(self):
      x, coxnet = self._fit(
          l1_ratio=0.9,
          n_alphas=11,
          alpha_min_ratio=0.001,
          fit_baseline_model=False,
      )
      with pytest.raises(
          ValueError,
          match="`fit` must be called with the fit_baseline_model option set to True.",
      ):
          coxnet.predict_cumulative_hazard_function(x)
  
imports: from dataclasses import dataclass
  from os.path import dirname, join
  from typing import Optional
  import numpy
  from numpy.testing import assert_array_almost_equal
  import pandas
  import pytest
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.pipeline import make_pipeline
  from sksurv.datasets import get_x_y, load_breast_cancer
  from sksurv.linear_model.coxnet import CoxnetSurvivalAnalysis
  from sksurv.preprocessing import OneHotEncoder
  from sksurv.testing import FixtureParameterFactory
  from sksurv.util import Surv
label_desc: Use image node_id 4 for calling the TestCoxnetSurvivalAnalysis obj's underlying member method code with example usage: obj.test_predict_func_disabled() without return types