code: def test_classify_instance_selection(create_pool_classifiers):
      n_samples = 3
      query = np.ones((n_samples, 2))
      pool_classifiers = (
          create_pool_classifiers + create_pool_classifiers
      )
      des_test = BaseDES(pool_classifiers, mode="selection")
      des_test.n_classes_ = 2
      selected_index = np.array(
          [[True, True, False, False, False, True] * n_samples]
      )
      des_test.select = MagicMock(return_value=selected_index)
  
      predictions = []
      for clf in des_test.pool_classifiers:
          predictions.append(clf.predict(query)[0])
  
      predicted_label = des_test.classify_with_ds(
          np.tile(predictions, (n_samples, 1))
      )
      assert (
          np.allclose(predicted_label, 0) and predicted_label.size == 3
      )
  
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 3 for calling a global function with example usage: test_classify_instance_selection(create_pool_classifiers) without return types