code: def test_swap_tensor_rv(self):
      with self.test_session():
          ed.set_seed(95258)
          x = Normal(0.0, 0.1)
          y = tf.constant(1.0)
          z = x * y
          qx = Normal(10.0, 0.1)
          z_new = ed.copy(z, {x.value(): qx})
          self.assertGreater(z_new.eval(), 5.0)
  
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 20 for calling the test_copy_class obj's underlying member method code with example usage: obj.test_swap_tensor_rv() without return types