code: def test_predict(self):
      y_predicted = self.classifier.predict(self.x_test_iris[0:1])
      y_expected = np.asarray([[0.1083, 0.1255, 0.7663]])
      np.testing.assert_array_almost_equal(
          y_predicted, y_expected, decimal=4
      )
  
file_path: adversarial-robustness-toolbox/tests/estimators/classification/test_lightgbm.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import lightgbm
  import numpy
  from art.estimators.classification.lightgbm import LightGBMClassifier
  from tests.utils import TestBase, master_seed
label_desc: Use image node_id 2 for calling the TestLightGBMClassifier obj's underlying member method code with example usage: obj.test_predict() without return types