code: def test_multiclass_error_nongrouplasso(
      mult_dense_train_data, penalty
  ):
      mult_dense, mult_target = mult_dense_train_data
      clf = CDClassifier(multiclass=True, penalty=penalty)
      with pytest.raises(NotImplementedError):
          clf.fit(mult_dense, mult_target)
  
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 32 for calling a global function with example usage: test_multiclass_error_nongrouplasso(mult_dense_train_data, penalty) without return types