code: def stringify_slices(slices):
      """Returns a list of strings describing the items in `slices`.
  
      Each returned string (in order) encodes what to do with one dimension of the
      slicee:
  
      - That number for a single integer slice;
      - 'a:b:c' for a start-stop-step slice, omitting any missing components;
      - 'tf.newaxis' for an axis insertion; or
      - The ellipsis '...' for an arbitrary-rank gap.
  
      Args:
        slices: A single-dimension slice or a Python tuple of single-dimension
          slices.
  
      Returns:
        pretty_slices: A list of Python strings encoding each slice.
      """
      pretty_slices = []
      slices = slices if isinstance(slices, tuple) else (slices,)
      for slc in slices:
          if slc == Ellipsis:
              pretty_slices.append("...")
          elif isinstance(slc, slice):
              pretty_slices.append(
                  "{}:{}:{}".format(
                      *[
                          "" if s is None else s
                          for s in (slc.start, slc.stop, slc.step)
                      ]
                  )
              )
          elif isinstance(slc, int) or tf.is_tensor(slc):
              pretty_slices.append(str(slc))
          elif slc is tf.newaxis:
              pretty_slices.append("tf.newaxis")
          else:
              raise ValueError(
                  "Unexpected slice type: {}".format(type(slc))
              )
      return pretty_slices
  
imports: import contextlib
  import os
  import re
  import traceback
  import unittest
  import hypothesis
  from hypothesis.extra import numpy
  import hypothesis.strategies
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.util.deferred_tensor import DeferredTensor
label_desc: Use image node_id 31 for calling a global function with example usage: stringify_slices(slices) and returns: pretty_slices