code: def one_step(self, current_state, previous_kernel_results, seed=None):
      _, nkr = super().one_step(
          current_state, previous_kernel_results, seed=seed
      )
      return current_state, nkr
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.experimental.distribute import sharded
  from tensorflow_probability.python.experimental.mcmc import diagonal_mass_matrix_adaptation
  from tensorflow_probability.python.experimental.mcmc import preconditioned_hmc
  from tensorflow_probability.python.experimental.stats import sample_stats
  from tensorflow_probability.python.internal import distribute_test_lib
  from tensorflow_probability.python.internal import loop_util
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 2 for calling the EchoKernel obj's underlying member method code with example usage: obj.one_step(current_state, previous_kernel_results, seed) and returns: current_state,  nkr