code: def test_sdca_hinge_multiclass(train_data):
      X, y = train_data
      clf = SDCAClassifier(
          alpha=1e-2, max_iter=100, loss="hinge", random_state=0
      )
      clf.fit(X, y)
      np.testing.assert_almost_equal(clf.score(X, y), 0.933, 3)
  
file_path: lightning/lightning/impl/tests/test_sdca.py
imports: import numpy
  import pytest
  from lightning.classification import SDCAClassifier
  from lightning.regression import SDCARegressor
label_desc: Use image node_id 2 for calling a global function with example usage: test_sdca_hinge_multiclass(train_data) without return types