code: def test_sparse_liblinear_intercept_handling():
      # Test that sparse liblinear honours intercept_scaling param
      test_svm.test_dense_liblinear_intercept_handling(svm.LinearSVC)
  
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 12 for calling a global function with example usage: test_sparse_liblinear_intercept_handling() without return types