code: def test_estimate_competence_all_ones(index, example_all_ones):
      (
          _,
          y,
          neighbors,
          distances,
          dsel_processed,
          dsel_scores,
      ) = 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_ = dsel_scores
      a_posteriori_test.DSEL_target_ = y
  
      neighbors = neighbors[index, :].reshape(1, -1)
      distances = distances[index, :].reshape(1, -1)
  
      expected = [1.0, 1.0, 1.0]
      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 2 for calling a global function with example usage: test_estimate_competence_all_ones(index, example_all_ones) without return types