code: def test_queue(self):
      with self.test_session() as sess:
          tensor = tf.constant([0.0, 1.0, 2.0, 3.0])
          x = tf.train.batch(
              [tensor],
              batch_size=2,
              enqueue_many=True,
              name="CustomName",
          )
          y = tf.constant(3.0)
          z = x * y
          z_new = ed.copy(z)
          coord = tf.train.Coordinator()
          threads = tf.train.start_queue_runners(coord=coord)
          self.assertAllEqual(sess.run(z_new), np.array([0.0, 3.0]))
          self.assertAllEqual(sess.run(z_new), np.array([6.0, 9.0]))
          coord.request_stop()
          coord.join(threads)
  
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 7 for calling the test_copy_class obj's underlying member method code with example usage: obj.test_queue() without return types