code: def test_frienemy_no_classifier_crosses(example_estimate_competence):
      _, y, neighbors = example_estimate_competence[0:3]
      n_classifiers = 3
      predictions = np.zeros((y.size, n_classifiers))
      mask = frienemy_pruning_preprocessed(neighbors, y, predictions)
      assert mask.all()
  
file_path: DESlib/deslib/tests/util/test_fire.py
imports: import numpy
  from deslib.util.dfp import frienemy_pruning
  from deslib.util.dfp import frienemy_pruning_preprocessed
  from ..conftest import create_base_classifier
label_desc: Use image node_id 1 for calling a global function with example usage: test_frienemy_no_classifier_crosses(example_estimate_competence) without return types