code: def test_error(lil_container):
      # Test that it gives proper exception on deficient input
      clf = svm.SVC()
      X_sp = lil_container(X)
  
      Y2 = Y[:-1]  # wrong dimensions for labels
      with pytest.raises(ValueError):
          clf.fit(X_sp, Y2)
  
      clf.fit(X_sp, Y)
      assert_array_equal(clf.predict(T), true_result)
  
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 7 for calling a global function with example usage: test_error(lil_container) without return types