code: def test_mnist_tutorial_jsma(self):
      import tensorflow as tf
      from cleverhans_tutorials import mnist_tutorial_jsma
  
      # Run the MNIST tutorial on a dataset of reduced size
      # and disable visualization.
      jsma_tutorial_args = {
          "train_start": 0,
          "train_end": 1000,
          "test_start": 0,
          "test_end": 1666,
          "viz_enabled": False,
          "source_samples": 1,
          "nb_epochs": 2,
      }
      g = tf.Graph()
      with g.as_default():
          np.random.seed(42)
          report = mnist_tutorial_jsma.mnist_tutorial_jsma(
              **jsma_tutorial_args
          )
  
      # Check accuracy values contained in the AccuracyReport object
      # We already have JSMA tests in test_attacks.py, so just sanity
      # check the values here.
      self.assertTrue(report.clean_train_clean_eval > 0.65)
      self.assertTrue(report.clean_train_adv_eval < 0.25)
  
      # There is no adversarial training in the JSMA tutorial
      self.assertTrue(report.adv_train_clean_eval == 0.0)
      self.assertTrue(report.adv_train_adv_eval == 0.0)
  
      g = tf.Graph()
      with g.as_default():
          np.random.seed(42)
          report_2 = mnist_tutorial_jsma.mnist_tutorial_jsma(
              **jsma_tutorial_args
          )
  
      atol_fac = 1e-6
      self.assertClose(
          report.train_clean_train_clean_eval,
          report_2.train_clean_train_clean_eval,
          atol=atol_fac * 1,
      )
      self.assertClose(
          report.train_clean_train_adv_eval,
          report_2.train_clean_train_adv_eval,
          atol=atol_fac * 1,
      )
      self.assertClose(
          report.train_adv_train_clean_eval,
          report_2.train_adv_train_clean_eval,
          atol=atol_fac * 1,
      )
      self.assertClose(
          report.train_adv_train_adv_eval,
          report_2.train_adv_train_adv_eval,
          atol=atol_fac * 1,
      )
  
imports: import unittest
  import numpy
  from cleverhans.devtools.checks import CleverHansTest
label_desc: Use image node_id 1 for calling the TestMNISTTutorialJSMA obj's underlying member method code with example usage: obj.test_mnist_tutorial_jsma() without return types