






"""simple docstring"""


from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments




def     snake_case						():







  '''simple docstring'''

  a  :    List[str]       =     HfArgumentParser(A_   )
  a  :    str       =     parser.parse_args_into_dataclasses()[0]
  a  :    Dict       =     TensorFlowBenchmark(args=A_   )
  try:
    a  :    List[str]       =     parser.parse_args_into_dataclasses()[0]
  except ValueError as e:
    a  :    Optional[int]       =     'Arg --no_{0} is no longer used, please use --no-{0} instead.'
    a  :    Union[str, Any]       =     ' '.join(str(A_   ).split(' '   )[:-1]   )
    a  :    Any       =     ''
    a  :    Tuple       =     eval(str(A_   ).split(' '   )[-1]   )
    a  :    List[str]       =     []
    for arg in depreciated_args:
      # arg[2:] removes '--'
      if arg[2:] in TensorFlowBenchmark.deprecated_args:
        # arg[5:] removes '--no_'
        full_error_msg += arg_error_msg.format(arg[5:]   )
      else:
        wrong_args.append(A_   )
    if len(A_   ) > 0:
      a  :    Dict       =     full_error_msg + begin_error_msg + str(A_   )
    raise ValueError(A_   )
  benchmark.run()


if __name__ == "__main__":
   main()












"""simple docstring"""


import os




def     snake_case						():







  '''simple docstring'''

  a  :    str       =     os.path.join(os.path.dirname(A_   )			,    'num.txt'   )
  with open(A_   ) as file_hand:
    return str(sum(int(A_   ) for line in file_hand   )   )[:1_0]


if __name__ == "__main__":
   print(solution())




