

'''simple docstring'''





import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


UpperCamelCase_							=					logging.get_logger(__name__)

UpperCamelCase_							=					{"""vocab_file""": """sentencepiece.bpe.model"""}

UpperCamelCase_							=					{
    """vocab_file""": {
        """moussaKam/mbarthez""": """https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez""": """https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model""",
        """moussaKam/barthez-orangesum-title""": (
            """https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"""
        ),
    },
}

UpperCamelCase_							=					{
    """moussaKam/mbarthez""": 1024,
    """moussaKam/barthez""": 1024,
    """moussaKam/barthez-orangesum-title""": 1024,
}

UpperCamelCase_							=					"""▁"""





class 		__SCREAMING_SNAKE_CASE       ( lowercase__			):
				lowerCamelCase_							=						VOCAB_FILES_NAMES
				lowerCamelCase_							=						PRETRAINED_VOCAB_FILES_MAP
				lowerCamelCase_							=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCamelCase_							=						['input_ids', 'attention_mask']







				def __init__(					self    :		List[str]		,				UpperCAmelCase__    :		Optional[Any]		,				UpperCAmelCase__    :		int="<s>"		,				UpperCAmelCase__    :		int="</s>"		,				UpperCAmelCase__    :		int="</s>"		,				UpperCAmelCase__    :		List[Any]="<s>"		,				UpperCAmelCase__    :		Union[str, Any]="<unk>"		,				UpperCAmelCase__    :		int="<pad>"		,				UpperCAmelCase__    :		str="<mask>"		,				UpperCAmelCase__    :		Optional[Dict[str, Any]] = None		,				**UpperCAmelCase__    :		List[str]		,				):
										'''simple docstring'''
										# Mask token behave like a normal word, i.e. include the space before it
										lowercase   :       str								=AddedToken(UpperCAmelCase__		,				lstrip=UpperCAmelCase__		,				rstrip=UpperCAmelCase__      ) if isinstance(UpperCAmelCase__		,				UpperCAmelCase__      ) else mask_token

										lowercase   :       int								={} if sp_model_kwargs is None else sp_model_kwargs

										super().__init__(
										    bos_token=UpperCAmelCase__		,				eos_token=UpperCAmelCase__		,				unk_token=UpperCAmelCase__		,				sep_token=UpperCAmelCase__		,				cls_token=UpperCAmelCase__		,				pad_token=UpperCAmelCase__		,				mask_token=UpperCAmelCase__		,				sp_model_kwargs=self.sp_model_kwargs		,				**UpperCAmelCase__		,				)

										lowercase   :       Optional[Any]								=vocab_file
										lowercase   :       str								=spm.SentencePieceProcessor(**self.sp_model_kwargs      )
										self.sp_model.Load(str(UpperCAmelCase__      )      )

										lowercase   :       Dict								={'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

										lowercase   :       Dict								=len(self.sp_model      ) - 1
										lowercase   :       Dict								={v: k for k, v in self.fairseq_tokens_to_ids.items()}







				def    lowerCamelCase_  (					self    :		Tuple		,				UpperCAmelCase__    :		List[int]		,				UpperCAmelCase__    :		Optional[List[int]] = None      ):
										'''simple docstring'''

										if token_ids_a is None:
																return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
										lowercase   :       Tuple								=[self.cls_token_id]
										lowercase   :       str								=[self.sep_token_id]
										return cls + token_ids_a + sep + sep + token_ids_a + sep







				def    lowerCamelCase_  (					self    :		Optional[Any]		,				UpperCAmelCase__    :		List[int]		,				UpperCAmelCase__    :		Optional[List[int]] = None		,				UpperCAmelCase__    :		bool = False      ):
										'''simple docstring'''
										if already_has_special_tokens:
																return super().get_special_tokens_mask(
																    token_ids_a=UpperCAmelCase__		,				token_ids_a=UpperCAmelCase__		,				already_has_special_tokens=UpperCAmelCase__      )

										if token_ids_a is None:
																return [1] + ([0] * len(UpperCAmelCase__      )) + [1]
										return [1] + ([0] * len(UpperCAmelCase__      )) + [1, 1] + ([0] * len(UpperCAmelCase__      )) + [1]







				def    lowerCamelCase_  (					self    :		Optional[Any]		,				UpperCAmelCase__    :		List[int]		,				UpperCAmelCase__    :		Optional[List[int]] = None      ):
										'''simple docstring'''
										lowercase   :       Optional[Any]								=[self.sep_token_id]
										lowercase   :       int								=[self.cls_token_id]

										if token_ids_a is None:
																return len(cls + token_ids_a + sep      ) * [0]
										return len(cls + token_ids_a + sep + sep + token_ids_a + sep      ) * [0]







				@property
				def    lowerCamelCase_  (					self    :		Optional[int]      ):
										'''simple docstring'''
										return len(self.sp_model      )







				def    lowerCamelCase_  (					self    :		str      ):
										'''simple docstring'''
										lowercase   :       List[str]								={self.convert_ids_to_tokens(UpperCAmelCase__      ): i for i in range(self.vocab_size      )}
										vocab.update(self.added_tokens_encoder      )
										return vocab







				def    lowerCamelCase_  (					self    :		Tuple		,				UpperCAmelCase__    :		str      ):
										'''simple docstring'''
										return self.sp_model.encode(UpperCAmelCase__		,				out_type=UpperCAmelCase__      )







				def    lowerCamelCase_  (					self    :		str		,				UpperCAmelCase__    :		List[str]      ):
										'''simple docstring'''
										if token in self.fairseq_tokens_to_ids:
																return self.fairseq_tokens_to_ids[token]
										lowercase   :       List[Any]								=self.sp_model.PieceToId(UpperCAmelCase__      )

										return spm_id if spm_id else self.unk_token_id







				def    lowerCamelCase_  (					self    :		Optional[int]		,				UpperCAmelCase__    :		int      ):
										'''simple docstring'''
										if index in self.fairseq_ids_to_tokens:
																return self.fairseq_ids_to_tokens[index]
										return self.sp_model.IdToPiece(UpperCAmelCase__      )







				def    lowerCamelCase_  (					self    :		List[str]		,				UpperCAmelCase__    :		int      ):
										'''simple docstring'''
										lowercase   :       Union[str, Any]								=[]
										lowercase   :       Any								=''''''
										lowercase   :       Union[str, Any]								=False
										for token in tokens:
																# make sure that special tokens are not decoded using sentencepiece model
																if token in self.all_special_tokens:
																						if not prev_is_special:
																												out_string += " "
																						out_string += self.sp_model.decode(UpperCAmelCase__      ) + token
																						lowercase   :       Union[str, Any]								=True
																						lowercase   :       List[str]								=[]
																else:
																						current_sub_tokens.append(UpperCAmelCase__      )
																						lowercase   :       List[str]								=False
										out_string += self.sp_model.decode(UpperCAmelCase__      )
										return out_string.strip()







				def __getstate__(					self    :		List[str]      ):
										'''simple docstring'''
										lowercase   :       List[str]								=self.__dict__.copy()
										lowercase   :       Union[str, Any]								=None
										return state







				def __setstate__(					self    :		List[Any]		,				UpperCAmelCase__    :		str      ):
										'''simple docstring'''
										lowercase   :       Optional[int]								=d

										# for backward compatibility
										if not hasattr(self		,				'''sp_model_kwargs'''      ):
																lowercase   :       Optional[int]								={}

										lowercase   :       Union[str, Any]								=spm.SentencePieceProcessor(**self.sp_model_kwargs      )
										self.sp_model.Load(self.vocab_file      )







				def    lowerCamelCase_  (					self    :		List[str]		,				UpperCAmelCase__    :		str		,				UpperCAmelCase__    :		Optional[str] = None      ):
										'''simple docstring'''
										if not os.path.isdir(UpperCAmelCase__      ):
																logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
																return
										lowercase   :       int								=os.path.join(
										    UpperCAmelCase__		,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )

										if os.path.abspath(self.vocab_file      ) != os.path.abspath(UpperCAmelCase__      ) and os.path.isfile(self.vocab_file      ):
																copyfile(self.vocab_file		,				UpperCAmelCase__      )
										elif not os.path.isfile(self.vocab_file      ):
																with open(UpperCAmelCase__		,				'''wb'''      ) as fi:
																						lowercase   :       Dict								=self.sp_model.serialized_model_proto()
																						fi.write(UpperCAmelCase__      )

										return (out_vocab_file,)








'''simple docstring'''





from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments






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


if __name__ == "__main__":
							main()





