


from transformers import HfArgumentParser, PyTorchBenchmark, PyTorchBenchmarkArguments






def 	a__ (							):
			SCREAMING_SNAKE_CASE_		:    List[str] 		=				HfArgumentParser(A__							)
			try:
						SCREAMING_SNAKE_CASE_		:    Any 		=				parser.parse_args_into_dataclasses()[0]
			except ValueError as e:
						SCREAMING_SNAKE_CASE_		:    List[str] 		=				'Arg --no_{0} is no longer used, please use --no-{0} instead.'
						SCREAMING_SNAKE_CASE_		:    Tuple 		=				' '.join(str(A__							).split(' '							)[:-1]							)
						SCREAMING_SNAKE_CASE_		:    Any 		=				''
						SCREAMING_SNAKE_CASE_		:    List[str] 		=				eval(str(A__							).split(' '							)[-1]							)
						SCREAMING_SNAKE_CASE_		:    List[str] 		=				[]
						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_		:    Optional[Any] 		=				full_error_msg + begin_error_msg + str(A__							)
						raise ValueError(A__							)

			SCREAMING_SNAKE_CASE_		:    Tuple 		=				PyTorchBenchmark(args=A__							)
			benchmark.run()


if __name__ == "__main__":
				main()









from transformers.models.cpm.tokenization_cpm import CpmTokenizer
from transformers.testing_utils import custom_tokenizers

from ..xlnet.test_modeling_xlnet import XLNetModelTest







@custom_tokenizers
class   __lowercase						(__SCREAMING_SNAKE_CASE     ):





							"""simple docstring"""







							def 				UpperCamelCase__    (			self ,	lowerCAmelCase__ ,	lowerCAmelCase__ ,	lowerCAmelCase__ ,	lowerCAmelCase__ ,	lowerCAmelCase__					):





										"""simple docstring"""




										return True






							def 				UpperCamelCase__    (			self					):





										"""simple docstring"""




										SCREAMING_SNAKE_CASE_		:    List[str] 		=				CpmTokenizer.from_pretrained('TsinghuaAI/CPM-Generate'					)
										SCREAMING_SNAKE_CASE_		:    int 		=				'Hugging Face大法好，谁用谁知道。'
										SCREAMING_SNAKE_CASE_		:    List[str] 		=				'Hugging Face大法好,谁用谁知道。<unk>'
										SCREAMING_SNAKE_CASE_		:    Union[str, Any] 		=				'▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。'.split()

										SCREAMING_SNAKE_CASE_		:    Union[str, Any] 		=				tokenizer.tokenize(lowerCAmelCase__					)
										self.assertListEqual(lowerCAmelCase__ ,	lowerCAmelCase__					)

										SCREAMING_SNAKE_CASE_		:    Optional[Any] 		=				tokens + [tokenizer.unk_token]

										SCREAMING_SNAKE_CASE_		:    List[Any] 		=				[1_3_7_8_9, 1_3_2_8_3, 1_4_2_1, 8, 1_0, 1_1_6_4, 1_3_6_0_8, 1_6_5_2_8, 6_3, 8, 9, 4_4_0, 1_0_8, 4_4_0, 1_2_1, 9_0, 8, 1_2, 0]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__					) ,	lowerCAmelCase__					)

										SCREAMING_SNAKE_CASE_		:    List[Any] 		=				tokenizer.decode(lowerCAmelCase__					)
										self.assertEqual(lowerCAmelCase__ ,	lowerCAmelCase__					)





