code: def setUpClass(cls):
      # Get Iris
      (x_train, y_train), (x_test, y_test), _, _ = load_dataset("iris")
      cls.iris = (x_train, y_train), (x_test, y_test)
  
imports: import logging
  import unittest
  import keras.backend
  import numpy
  from art.attacks.evasion.fast_gradient import FastGradientMethod
  from art.estimators.classification.keras import KerasClassifier
  from art.defences.preprocessor import FeatureSqueezing
  from art.utils import load_dataset, get_labels_np_array
  from art.estimators.classification.query_efficient_bb import QueryEfficientGradientEstimationClassifier
  from tests.utils import master_seed, get_image_classifier_kr, get_tabular_classifier_kr
label_desc: Use image node_id 1 for calling the TestQueryEfficientVectors obj's underlying member method code with example usage: obj.setUpClass(cls) without return types