code: def setUpClass(cls):
      master_seed(seed=1234)
      super().setUpClass()
  
      model = xgb.XGBClassifier(n_estimators=30, max_depth=5)
      model.fit(cls.x_train_iris, np.argmax(cls.y_train_iris, axis=1))
  
      cls.classifier = XGBoostClassifier(model=model)
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import xgboost
  import numpy
  from art.estimators.classification.xgboost import XGBoostClassifier
  from tests.utils import TestBase, master_seed
label_desc: Use image node_id 1 for calling the TestXGBoostClassifierPythonAPI obj's underlying member method code with example usage: obj.setUpClass(cls) without return types