"""simple docstring"""






from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments


def 			UpperCAmelCase__       (				) ->    List[Any]:
      '''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 re

from filelock import FileLock


try:
							import nltk

							a  :				Union[str, Any]									=  True
except (ImportError, ModuleNotFoundError):
							a  :				Any									=  False

if NLTK_AVAILABLE:
							with FileLock('.lock') as lock:
														nltk.download('punkt', quiet=True)


def 		__magic_name__    (	__UpperCAmelCase	)		->					str:

					'''simple docstring'''

					re.sub('''<n>''',      '''''',      __UpperCAmelCase	)  # remove pegasus newline char
					assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
					return "\n".join(nltk.sent_tokenize(__UpperCAmelCase	)	)

