code: def test_master_seed_mx(self):
      import mxnet as mx
  
      master_seed(seed=1234, set_mxnet=True)
      x = mx.nd.random.uniform(0, 1, shape=(10,)).asnumpy()
      y = mx.nd.random.uniform(0, 1, shape=(10,)).asnumpy()
  
      master_seed(seed=1234, set_mxnet=True)
      z = mx.nd.random.uniform(0, 1, shape=(10,)).asnumpy()
      self.assertFalse((x == y).any())
      self.assertTrue((x == z).all())
  
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 2 for calling the TestUtils obj's underlying member method code with example usage: obj.test_master_seed_mx() without return types