code: def test_predict_proba():
      X = np.random.randn(15, 5)
      y = np.array([0, 1, 0, 0, 0] * 3)
      clf1 = Perceptron()
      clf1.fit(X, y)
      DESKNN([clf1, clf1, clf1]).fit(X, y)
  
imports: from unittest.mock import MagicMock
  import numpy
  import pytest
  from sklearn.linear_model import Perceptron
  from sklearn.utils.estimator_checks import check_estimator
  from deslib.des.des_knn import DESKNN
label_desc: Use image node_id 16 for calling a global function with example usage: test_predict_proba() without return types