class_docstr: Wrapper class for absl.flags.FLAGS.
  
  The difference is that tf.flags.FLAGS implicitly parses flags with sys.argv
  when accessing the FLAGS values before it's explicitly parsed,
  while absl.flags.FLAGS raises an exception.
class_docstr_tok: ["Wrapper","class","for","absl.flags.FLAGS",".","The","difference","is","that","tf.flags.FLAGS","implicitly","parses","flags","with","sys.argv","when","accessing","the","FLAGS","values","before","it","'s","explicitly","parsed",",","while","absl.flags.FLAGS","raises","an","exception","."]
code: def __call__(self, *args, **kwargs):
      return self.__dict__["__wrapped"].__call__(*args, **kwargs)
  
file_path: tensorflow-upstream/tensorflow/python/platform/flags.py
imports: import logging
  import sys
  from absl.flags import *
  from tensorflow.python.util import tf_decorator
label_desc: Use image node_id 12 for calling the _FlagValuesWrapper obj's underlying member method code with example usage: obj.__call__() and returns: self