code: def test_infinite_alphas(self, infinite_float_array):
      with pytest.raises(
          ValueError,
          match="Input alphas contains infinity or a value too large",
      ):
          self._fit(alpha_min_ratio=0.0001, alphas=infinite_float_array)
  
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 17 for calling the TestCoxnetSurvivalAnalysis obj's underlying member method code with example usage: obj.test_infinite_alphas(infinite_float_array) without return types