code: def hashable_index(tuple_idx):
      """Return an hashable representation of a tuple of slice object
  
      We add this because the slice object in python is not hashable.
  
      Parameters
      ----------
      tuple_idx : tuple
          A tuple of slice/int objects
  
      Returns
      -------
      ret : tuple
          A hashable representation of the slice data
      """
      l = []
      for ele in tuple_idx:
          if isinstance(ele, slice):
              l.append(ele.__reduce__())
          else:
              l.append(ele)
      return tuple(l)
  
imports: from __future__ import absolute_import
  from __future__ import division
  import os
  from uuid import uuid4
  import numpy
  import mxnet
  from mxnet import gluon, autograd, np, npx
  from mxnet.test_utils import use_np, assert_almost_equal, check_gluon_hybridize_consistency, assert_allclose
  from mxnet.gluon import nn
  from mxnet.base import MXNetError
  import random
  import pytest
label_desc: Use image node_id 8 for calling a global function with example usage: hashable_index(tuple_idx) and returns: tuple