





"""simple docstring"""






import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format




class  __lowercase	:







					'''simple docstring'''




					__lowerCAmelCase     =     None







					def        _lowerCamelCase						(  self   ):
									__a       :  Tuple					=     self.feature_extraction_class(**self.feat_extract_dict   )
									__a       :  List[str]					=     json.loads(feat_extract.to_json_string()   )
									for key, value in self.feat_extract_dict.items():
													self.assertEqual(obj[key]		,	SCREAMING_SNAKE_CASE__   )







					def        _lowerCamelCase						(  self   ):
									__a       :  int					=     self.feature_extraction_class(**self.feat_extract_dict   )

									with tempfile.TemporaryDirectory() as tmpdirname:
													__a       :  str					=     os.path.join(SCREAMING_SNAKE_CASE__		,	'''feat_extract.json'''   )
													feat_extract_first.to_json_file(SCREAMING_SNAKE_CASE__   )
													__a       :  Union[str, Any]					=     self.feature_extraction_class.from_json_file(SCREAMING_SNAKE_CASE__   )

									self.assertEqual(feat_extract_second.to_dict()		,	feat_extract_first.to_dict()   )







					def        _lowerCamelCase						(  self   ):
									__a       :  List[str]					=     self.feature_extraction_class(**self.feat_extract_dict   )

									with tempfile.TemporaryDirectory() as tmpdirname:
													__a       :  List[str]					=     feat_extract_first.save_pretrained(SCREAMING_SNAKE_CASE__   )[0]
													check_json_file_has_correct_format(SCREAMING_SNAKE_CASE__   )
													__a       :  Union[str, Any]					=     self.feature_extraction_class.from_pretrained(SCREAMING_SNAKE_CASE__   )

									self.assertEqual(feat_extract_second.to_dict()		,	feat_extract_first.to_dict()   )







					def        _lowerCamelCase						(  self   ):
									__a       :  List[str]					=     self.feature_extraction_class()
									self.assertIsNotNone(SCREAMING_SNAKE_CASE__   )



from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments







def        SCREAMING_SNAKE_CASE_						(			)	->		Any:

       """simple docstring"""

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


if __name__ == "__main__":
   main()


