code: def test_timeout(lil_container):
      sp = svm.SVC(
          C=1,
          kernel=lambda x, y: x @ y.T,
          probability=True,
          random_state=0,
          max_iter=1,
      )
      warning_msg = (
          r"Solver terminated early \(max_iter=1\).  Consider pre-processing "
          r"your data with StandardScaler or MinMaxScaler."
      )
      with pytest.warns(ConvergenceWarning, match=warning_msg):
          sp.fit(lil_container(X), Y)
  
imports: import numpy
  import pytest
  from scipy import sparse
  from sklearn import base, datasets, linear_model, svm
  from sklearn.datasets import load_digits, make_blobs, make_classification
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.svm.tests import test_svm
  from sklearn.utils._testing import assert_allclose, assert_array_almost_equal, assert_array_equal, ignore_warnings, skip_if_32bit
  from sklearn.utils.extmath import safe_sparse_dot
  from sklearn.utils.fixes import CSR_CONTAINERS, DOK_CONTAINERS, LIL_CONTAINERS
label_desc: Use image node_id 16 for calling a global function with example usage: test_timeout(lil_container) without return types