code: def test_sdca_hinge_elastic(bin_train_data):
      X_bin, y_bin = bin_train_data
      clf = SDCAClassifier(
          alpha=0.5, l1_ratio=0.85, loss="hinge", random_state=0
      )
      clf.fit(X_bin, y_bin)
      assert clf.score(X_bin, y_bin) == 1.0
  
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 5 for calling a global function with example usage: test_sdca_hinge_elastic(bin_train_data) without return types