code: def test_list(self):
      with self.test_session() as sess:
          x = Normal(tf.constant(0.0), tf.constant(0.1))
          y = Normal(tf.constant(10.0), tf.constant(0.1))
          cat = Categorical(logits=tf.zeros(5))
          components = [Normal(x, tf.constant(0.1)) for _ in range(5)]
          z = Mixture(cat=cat, components=components)
          z_new = ed.copy(z, {x: y.value()})
          self.assertGreater(z_new.value().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 8 for calling the test_copy_class obj's underlying member method code with example usage: obj.test_list() without return types