code: def standarize_dict(d):
      for key in d:
          if isinstance(d[key], list):
              d[key] = np.asarray(d[key])
  
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 13 for calling a global function with example usage: standarize_dict(d) without return types