


from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments






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

			SCREAMING_SNAKE_CASE_						:			Optional[int]       						= PyTorchBenchmark(args=A__							)
			benchmark.run()


if __name__ == "__main__":
				main()









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


lowerCAmelCase__       :	List[Any]     				={}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Optional[Any]     				=['MBart50Tokenizer']

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__       :	Any     				=['MBart50TokenizerFast']


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbartaa import MBartaaTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_mbartaa_fast import MBartaaTokenizerFast

else:
				import sys

				lowerCAmelCase__       :	Optional[int]     				=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





