code: def test_predict_proba_shape():
      n_test_samples = 200
      X, y = make_classification(n_samples=1000)
      X_test, y_test = make_classification(n_samples=n_test_samples)
      pool = RandomForestClassifier(max_depth=3).fit(X, y)
      oracle = Oracle(pool_classifiers=pool).fit(X, y)
  
      proba = oracle.predict_proba(X_test, y_test)
      assert proba.shape == (n_test_samples, 2)
  
file_path: DESlib/deslib/tests/static/test_oracle.py
imports: import numpy
  from sklearn.datasets import make_classification
  from sklearn.ensemble import RandomForestClassifier
  from deslib.static.oracle import Oracle
label_desc: Use image node_id 3 for calling a global function with example usage: test_predict_proba_shape() without return types