code: def test_master_seed_tf_v2(self):
      master_seed(seed=1234, set_tensorflow=True)
      x = tf.random.uniform(shape=(1, 10))
      y = tf.random.uniform(shape=(1, 10))
      xv, yv = x.numpy(), y.numpy()
  
      master_seed(seed=1234, set_tensorflow=True)
      z = tf.random.uniform(shape=(1, 10))
      zv = z.numpy()
  
      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 7 for calling the TestUtils obj's underlying member method code with example usage: obj.test_master_seed_tf_v2() without return types