





'''simple docstring'''






from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def 					_a						(       ) ->				Dict:



			"""simple docstring"""


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


if __name__ == "__main__":
	main()









'''simple docstring'''






from __future__ import annotations







def 					_a						(       _lowerCamelCase    ,	_lowerCamelCase = None    ,	_lowerCamelCase = None ) ->				None:



			"""simple docstring"""


			if start is None:
						__snake_case					:      Optional[Any]							      =     0

			if end is None:
						__snake_case					:      Optional[Any]							      =     len(_lowerCamelCase ) - 1

			if start >= end:
						return

			__snake_case					:      Tuple							      =     (start + end) // 2

			slowsort(_lowerCamelCase    ,	_lowerCamelCase    ,	_lowerCamelCase )
			slowsort(_lowerCamelCase    ,	mid + 1    ,	_lowerCamelCase )

			if sequence[end] < sequence[mid]:
						__snake_case      ,     __snake_case					:      str							      =     sequence[mid], sequence[end]

			slowsort(_lowerCamelCase    ,	_lowerCamelCase    ,	end - 1 )


if __name__ == "__main__":
	from doctest import testmod

	testmod()


