code: def test_ordering_rv_tensor(self):
      # Check that random variables are copied correctly in dependency
      # structure.
      with self.test_session() as sess:
          ed.set_seed(12432)
          x = Bernoulli(logits=0.0)
          y = tf.cast(x, tf.float32)
          y_new = ed.copy(y)
          x_new = ed.copy(x)
          x_new_val, y_new_val = sess.run([x_new, y_new])
          self.assertEqual(x_new_val, y_new_val)
  
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 21 for calling the test_copy_class obj's underlying member method code with example usage: obj.test_ordering_rv_tensor() without return types