code: def test_estimate_competence_kuncheva_ex(example_kuncheva):
      query = np.atleast_2d([1, 1])
  
      a_posteriori_test = APosteriori(k=example_kuncheva["k"])
      a_posteriori_test.n_classifiers_ = 1
  
      a_posteriori_test.DSEL_processed_ = example_kuncheva[
          "dsel_processed"
      ]
      a_posteriori_test.dsel_scores_ = example_kuncheva["dsel_scores"]
      a_posteriori_test.DSEL_target_ = example_kuncheva["y_dependent"]
      a_posteriori_test.n_classes_ = example_kuncheva["n_classes"]
  
      neighbors = example_kuncheva["neighbors"].reshape(1, -1)
      distances = example_kuncheva["distances"].reshape(1, -1)
  
      predictions = np.array([[1]])
  
      competences = a_posteriori_test.estimate_competence(
          neighbors, distances, predictions=np.array(predictions)
      )
      assert np.isclose(competences, 0.95, atol=0.01)
  
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 3 for calling a global function with example usage: test_estimate_competence_kuncheva_ex(example_kuncheva) without return types