code: def test_master_seed_tf(self):
      tf.reset_default_graph()
      master_seed(seed=1234, set_tensorflow=True)
      with tf.Session() as sess:
          x = tf.random_uniform(shape=(1, 10))
          y = tf.random_uniform(shape=(1, 10))
          xv, yv = sess.run([x, y])
  
      tf.reset_default_graph()
      master_seed(seed=1234, set_tensorflow=True)
      with tf.Session() as sess:
          z = tf.random_uniform(shape=(1, 10))
          zv = sess.run([z])[0]
  
      self.assertTrue((xv != yv).any())
      np.testing.assert_array_almost_equal(zv, xv, decimal=4)
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import numpy
  import tensorflow
  from art.utils import projection, random_sphere, uniform_sample_from_sphere_or_ball, to_categorical, least_likely_class
  from art.utils import load_dataset, load_iris, load_mnist, load_nursery, load_cifar10
  from art.utils import second_most_likely_class, random_targets, get_label_conf, get_labels_np_array, preprocess
  from art.utils import compute_success_array, compute_success, check_and_transform_label_format
  from art.utils import segment_by_class, performance_diff
  from art.utils import is_probability
  from tests.utils import master_seed
label_desc: Use image node_id 6 for calling the TestUtils obj's underlying member method code with example usage: obj.test_master_seed_tf() without return types