code: def test_estimate_competence_diff_target(index, example_all_ones):
      _, _, neighbors, distances, dsel_processed, _ = example_all_ones
  
      query = np.atleast_2d([1, 1])
      a_posteriori_test = APosteriori()
      a_posteriori_test.n_classifiers_ = 3
      a_posteriori_test.DSEL_processed_ = dsel_processed
      a_posteriori_test.dsel_scores_ = np.ones((15, 3, 3))
      a_posteriori_test.DSEL_target_ = np.ones(15, dtype=int) * 2
      a_posteriori_test.n_classes_ = 2
  
      neighbors = neighbors[index, :].reshape(1, -1)
      distances = distances[index, :].reshape(1, -1)
  
      expected = [0.0, 0.0, 0.0]
  
      predictions = np.array([0, 1, 0])
      competences = a_posteriori_test.estimate_competence(
          neighbors, distances, predictions=np.array(predictions)
      )
      assert np.isclose(competences, expected).all()
  
file_path: DESlib/deslib/tests/dcs/test_a_posteriori.py
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.dcs.a_posteriori import APosteriori
label_desc: Use image node_id 5 for calling a global function with example usage: test_estimate_competence_diff_target(index, example_all_ones) without return types