





from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments





def 						__SCREAMING_SNAKE_CASE  (    )  ->    List[Any]:







			'''simple docstring'''

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

			UpperCAmelCase       		=    PyTorchBenchmark(args=UpperCamelCase__			)
			benchmark.run()


if __name__ == "__main__":
				main()










from typing import TYPE_CHECKING

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


__A    :   Any          =       {}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A    :   Union[str, Any]          =       ["CpmTokenizer"]

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A    :   List[Any]          =       ["CpmTokenizerFast"]


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

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_cpm_fast import CpmTokenizerFast

else:
				import sys

				__A    :   str          =       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



