code: def test_copy_works(self):
      transformed = transformed_kernel.TransformedTransitionKernel(
          inner_kernel=FakeInnerKernel(
              target_log_prob_fn=fake_target_log_prob
          ),
          bijector=scale.Scale(2.0),
      )
  
      transformed_copy = transformed_kernel.TransformedTransitionKernel(
          **transformed.parameters
      )
  
      pkr, pkr_copy = self.evaluate(
          [
              transformed.bootstrap_results(1.0),
              transformed_copy.bootstrap_results(1.0),
          ]
      )
  
      self.assertAllClose(
          pkr.inner_results.target_log_prob,
          pkr_copy.inner_results.target_log_prob,
      )
  
imports: import collections
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import chain
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import sigmoid
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import cholesky_lkj
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import joint_distribution_sequential
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import mvn_tril
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.mcmc import hmc
  from tensorflow_probability.python.mcmc import kernel
  from tensorflow_probability.python.mcmc import langevin
  from tensorflow_probability.python.mcmc import random_walk_metropolis
  from tensorflow_probability.python.mcmc import sample
  from tensorflow_probability.python.mcmc import simple_step_size_adaptation
  from tensorflow_probability.python.mcmc import transformed_kernel
label_desc: Use image node_id 8 for calling the TransformedTransitionKernelTest obj's underlying member method code with example usage: obj.test_copy_works() without return types