code: def test_classify_instance(create_pool_classifiers):
      query = np.array([-1, 1])
      n_classifiers = 3
  
      pool_classifiers = create_pool_classifiers
      dcs_test = BaseDCS(pool_classifiers)
      competences = np.random.rand(n_classifiers)
  
      dcs_test.estimate_competence = MagicMock(return_value=competences)
      expected = pool_classifiers[np.argmax(competences)].predict(
          query
      )[0]
  
      predictions = []
      for clf in dcs_test.pool_classifiers:
          predictions.append(clf.predict(query)[0])
      predicted_label = dcs_test.classify_with_ds(np.array(predictions))
      assert predicted_label == expected
  
imports: from unittest.mock import MagicMock
  import numpy
  import pytest
  from deslib.dcs.base import BaseDCS
label_desc: Use image node_id 13 for calling a global function with example usage: test_classify_instance(create_pool_classifiers) without return types