code: def test_blackbox_nn_existing_predictions_fuzzy(art_warning):
      try:
          x = np.array([0, 3])
          fuzzy_x = np.array([0, 3.00001])
          y = np.array([[1, 0], [0, 1]])
          bb = BlackBoxClassifierNeuralNetwork(
              (x, y), (1,), 2, fuzzy_float_compare=True
          )
          assert np.array_equal(bb.predict(fuzzy_x), y)
      except ARTTestException as e:
          art_warning(e)
  
file_path: adversarial-robustness-toolbox/tests/estimators/classification/test_blackbox_existing_predictions.py
imports: import pytest
  import numpy
  from art.estimators.classification.blackbox import BlackBoxClassifierNeuralNetwork, BlackBoxClassifier
  from tests.utils import ARTTestException
label_desc: Use image node_id 4 for calling a global function with example usage: test_blackbox_nn_existing_predictions_fuzzy(art_warning) without return types