code: def testCopy(self):
      sequential = sequential_lib.Sequential(
          [
              tf.keras.layers.Dense(3),
              tf.keras.layers.Dense(4, use_bias=False),
          ]
      )
      clone = type(sequential).from_config(sequential.get_config())
      self.assertLen(clone.layers, 2)
      for l1, l2 in zip(sequential.layers, clone.layers):
          self.assertEqual(l1.dtype, l2.dtype)
          self.assertEqual(l1.units, l2.units)
          self.assertEqual(l1.use_bias, l2.use_bias)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import flags
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.distributions import utils
  from tf_agents.keras_layers import dynamic_unroll_layer
  from tf_agents.keras_layers import inner_reshape
  from tf_agents.networks import nest_map
  from tf_agents.networks import network
  from tf_agents.networks import sequential
  from tf_agents.policies import actor_policy
  from tf_agents.policies import policy_saver
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 9 for calling the SequentialTest obj's underlying member method code with example usage: obj.testCopy() without return types