1a49253346450ec20a3a1170c5b748a502c3c25c,tests/attacks/evasion/test_boundary.py,,test_untargeted_images,#Any#Any#Any#,104

Before Change

        assert (y_pred != y_pred_adv).any()

        if fix_mlFramework in ["keras"]:
            k.clear_session()


def test_classifier_type_check_fail_classifier():
    // Use a useless test classifier to test basic classifier properties

After Change

        return

    for classifier in image_classifier_list:
        if BoundaryAttack.is_valid_classifier_type(classifier) is False:
            continue
        attack = BoundaryAttack(classifier=classifier, targeted=False, max_iter=20)

        utils_attack._back_end_untargeted_images(attack, classifier, fix_get_mnist_subset, fix_mlFramework)

Instances