code: def hmc_like_log_accept_prob_getter_fn(kernel_results):
      # This is here due to the circular imports.
      return simple_step_size_adaptation.hmc_like_log_accept_prob_getter_fn(
          kernel_results
      )
  
imports: import collections
  import functools
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import broadcast_util
  from tensorflow_probability.python.internal import distribute_lib
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import unnest
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.mcmc import kernel
  from tensorflow_probability.python.mcmc import simple_step_size_adaptation
  from tensorflow_probability.python.mcmc import transformed_kernel
  from tensorflow_probability.python.mcmc.internal import util
  from tensorflow.python.util import nest
label_desc: Use image node_id 8 for calling a global function with example usage: hmc_like_log_accept_prob_getter_fn(kernel_results) and returns: simple_step_size_adaptation