code: def one_step(self, current_state, previous_kernel_results, seed=None):
      new_state, new_inner_results = self.inner_kernel.one_step(
          current_state,
          previous_kernel_results.inner_results,
          seed=seed,
      )
      return new_state, previous_kernel_results._replace(
          inner_results=new_inner_results
      )
  
imports: import collections
  import functools
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.experimental.mcmc import sharded
  from tensorflow_probability.python.internal import distribute_lib
  from tensorflow_probability.python.internal import distribute_test_lib
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import generic
  from tensorflow_probability.python.mcmc import hmc
  from tensorflow_probability.python.mcmc import kernel
  from tensorflow_probability.python.mcmc import sample
  from tensorflow_probability.python.mcmc import simple_step_size_adaptation
label_desc: Use image node_id 3 for calling the FakeWrapperKernel obj's underlying member method code with example usage: obj.one_step(current_state, previous_kernel_results, seed) and returns: new_state,  previous_kernel_results