code: def slice_array(X, start=None, stop=None):
      if type(X) == list:
          if hasattr(start, "__len__"):
              return [x[start] for x in X]
          else:
              return [x[start:stop] for x in X]
      if H5PY_SUPPORTED:
          if type(X) == h5py.Dataset:
              return [X[i] for i in start]
      if hasattr(start, "__len__"):
          return X[start]
      else:
          return X[start:stop]
  
imports: from __future__ import division, print_function, absolute_import
  import six
  import string
  import random
  import numpy
  import tensorflow.compat.v1
  from tensorflow.python import pywrap_tensorflow
  import tflearn.variables
label_desc: Use image node_id 16 for calling a global function with example usage: slice_array(X, start, stop) and returns: X, X, unknown, unknown, unknown