class_docstr: A unittest class for testing the decision tree attack.
class_docstr_tok: ["A","unittest","class","for","testing","the","decision","tree","attack","."]
code: def test_check_params(self):
      clf = DecisionTreeClassifier()
      clf.fit(self.X, self.y)
      clf_art = SklearnClassifier(clf)
  
      with self.assertRaises(ValueError):
          _ = DecisionTreeAttack(clf_art, offset=-1)
  
      with self.assertRaises(ValueError):
          _ = DecisionTreeAttack(clf_art, verbose="False")
  
file_path: adversarial-robustness-toolbox/tests/attacks/test_decision_tree_attack.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.datasets import load_digits
  import numpy
  from art.attacks.evasion.decision_tree_attack import DecisionTreeAttack
  from art.estimators.classification.scikitlearn import SklearnClassifier
  from art.estimators.classification.scikitlearn import ScikitlearnDecisionTreeClassifier
  from tests.utils import TestBase, master_seed
  from tests.attacks.utils import backend_test_classifier_type_check_fail
label_desc: Use image node_id 3 for calling the TestDecisionTreeAttack obj's underlying member method code with example usage: obj.test_check_params() without return types