code: def one_step(self, current_state, previous_kernel_results, seed=None):
      seed = samplers.sanitize_seed(seed, salt="random_walk")
      current_state = current_state + samplers.normal(
          current_state.shape, seed=seed
      )
      return current_state, previous_kernel_results
  
file_path: probability/tensorflow_probability/python/experimental/mcmc/sharded_test.py
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.experimental.mcmc import sharded
  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.mcmc import kernel
label_desc: Use image node_id 3 for calling the RandomWalk obj's underlying member method code with example usage: obj.one_step(current_state, previous_kernel_results, seed) and returns: current_state,  previous_kernel_results