code: def test_classify_instance_hybrid(create_pool_classifiers):
      query = np.ones((3, 2))
      expected = 1
      pool_classifiers = (
          create_pool_classifiers + create_pool_classifiers
      )
      des_test = BaseDES(pool_classifiers, mode="hybrid")
      des_test.classes_ = np.array([0, 1])
      des_test.n_classes_ = 2
  
      selected_indices = np.tile(
          [True, True, False, False, False, True], (3, 1)
      )
      competences = np.tile([0.55, 1.0, 0.2, 0.60, 0.75, 0.3], (3, 1))
      des_test.estimate_competence = MagicMock(return_value=competences)
      des_test.select = MagicMock(return_value=selected_indices)
  
      predictions = []
      for clf in des_test.pool_classifiers:
          predictions.append(clf.predict(query)[0])
  
      predicted_label = des_test.classify_with_ds(
          np.tile(predictions, (3, 1))
      )
      assert np.allclose(predicted_label, expected)
  
file_path: DESlib/deslib/tests/des/test_base.py
imports: from unittest.mock import MagicMock
  import numpy
  import pytest
  from deslib.des.base import BaseDES
label_desc: Use image node_id 5 for calling a global function with example usage: test_classify_instance_hybrid(create_pool_classifiers) without return types