code: def test_multiclass_classes(mult_dense_train_data):
      mult_dense, mult_target = mult_dense_train_data
      clf = CDClassifier()
      clf.fit(mult_dense, mult_target)
      assert list(clf.classes_) == [0, 1, 2]
  
imports: import numpy
  import pytest
  from sklearn.datasets import load_digits
  from sklearn.preprocessing import LabelBinarizer
  from lightning.impl.primal_cd import CDClassifier, CDRegressor
  from lightning.impl.tests.utils import check_predict_proba
label_desc: Use image node_id 34 for calling a global function with example usage: test_multiclass_classes(mult_dense_train_data) without return types