code: def test_not_predict_proba_meta(create_X_y, create_pool_classifiers):
      X, y = create_X_y
  
      pool = create_pool_classifiers
      with pytest.raises(ValueError):
          meta_clf = StackedClassifier(
              pool_classifiers=pool, meta_classifier=Perceptron()
          )
          meta_clf.fit(X, y)
          meta_clf.predict_proba(X)
  
file_path: DESlib/deslib/tests/static/test_stacked.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.linear_model import Perceptron
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.utils.estimator_checks import check_estimator
  from deslib.static.stacked import StackedClassifier
label_desc: Use image node_id 3 for calling a global function with example usage: test_not_predict_proba_meta(create_X_y, create_pool_classifiers) without return types