code: def test_sdca_squared(bin_train_data):
      X_bin, y_bin = bin_train_data
      clf = SDCAClassifier(loss="squared", random_state=0)
      clf.fit(X_bin, y_bin)
      assert not hasattr(clf, "predict_proba")
      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 3 for calling a global function with example usage: test_sdca_squared(bin_train_data) without return types