code: def test_wrong_voting_value(
      voting, create_X_y, create_pool_classifiers
  ):
      X, y = create_X_y
      pool = create_pool_classifiers
      with pytest.raises(ValueError):
          DESClustering(pool, voting=voting).fit(X, y)
  
imports: from unittest.mock import MagicMock
  import numpy
  import pytest
  from sklearn.cluster import KMeans
  from sklearn.linear_model import Perceptron
  from sklearn.utils.estimator_checks import check_estimator
  from deslib.des.des_clustering import DESClustering
  from deslib.util.diversity import Q_statistic, ratio_errors, negative_double_fault
label_desc: Use image node_id 19 for calling a global function with example usage: test_wrong_voting_value(voting, create_X_y, create_pool_classifiers) without return types