code: def test_random(self):
      with self.test_session() as sess:
          ed.set_seed(3742)
          x = tf.random_normal([])
          x_copy = ed.copy(x)
  
          result_copy, result = sess.run([x_copy, x])
          self.assertNotAlmostEquals(result_copy, result)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import edward
  import numpy
  import tensorflow
  from edward.models import Bernoulli, Categorical, Mixture, Normal
label_desc: Use image node_id 9 for calling the test_copy_class obj's underlying member method code with example usage: obj.test_random() without return types