

"""simple docstring"""





from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments




def   _A  (  )	->						Dict:
   '''simple docstring'''


   __lowercase								=						HfArgumentParser(UpperCamelCase_)
   __lowercase								=						parser.parse_args_into_dataclasses()[0]
   __lowercase								=						TensorFlowBenchmark(args=UpperCamelCase_)
   try:
      __lowercase								=						parser.parse_args_into_dataclasses()[0]
   except ValueError as e:
      __lowercase								=						"Arg --no_{0} is no longer used, please use --no-{0} instead."
      __lowercase								=						" ".join(str(UpperCamelCase_).split(" ")[:-1])
      __lowercase								=						""
      __lowercase								=						eval(str(UpperCamelCase_).split(" ")[-1])
      __lowercase								=						[]
      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(UpperCamelCase_)
      if len(UpperCamelCase_) > 0:
         __lowercase								=						full_error_msg + begin_error_msg + str(UpperCamelCase_)
      raise ValueError(UpperCamelCase_)
   benchmark.run()


if __name__ == "__main__":
   main()







"""simple docstring"""





import baseaa




def   _A  (  UpperCamelCase_     :       str)	->						bytes:
   '''simple docstring'''


   return baseaa.baaencode(string.encode("utf-8"))




def   _A  (  UpperCamelCase_     :       bytes)	->						str:
   '''simple docstring'''


   return baseaa.baadecode(UpperCamelCase_).decode("utf-8")


if __name__ == "__main__":
   _a       =							'Hello World!'
   _a       =							baseaa_encode(test)
   print(encoded)

   _a       =							baseaa_decode(encoded)
   print(decoded)




