code: def standarize_data(data):
      if data is None:
          return None
      if type(data) in [tuple, list]:
          return [np.asarray(x) for x in data]
      if type(data) is dict:
          return data
      return [np.asarray(data)]
  
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 12 for calling a global function with example usage: standarize_data(data) and returns: list, None, unknown, data