



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


__snake_case							:						Dict      =logging.get_logger(__name__)

__snake_case							:						Any      ={'vocab_file': 'sentencepiece.bpe.model'}

__snake_case							:						Union[str, Any]      ={
    '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'
        ),
    },
}

__snake_case							:						Optional[int]      ={
    'moussaKam/mbarthez': 1_0_2_4,
    'moussaKam/barthez': 1_0_2_4,
    'moussaKam/barthez-orangesum-title': 1_0_2_4,
}

__snake_case							:						str      ='▁'



class 			lowerCamelCase__     (				_lowerCamelCase):




		'''simple docstring'''



		snake_case_      =VOCAB_FILES_NAMES
		snake_case_      =PRETRAINED_VOCAB_FILES_MAP
		snake_case_      =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		snake_case_      =['input_ids', 'attention_mask']



		def __init__(self						,__lowerCamelCase						,__lowerCamelCase="<s>"						,__lowerCamelCase="</s>"						,__lowerCamelCase="</s>"						,__lowerCamelCase="<s>"						,__lowerCamelCase="<unk>"						,__lowerCamelCase="<pad>"						,__lowerCamelCase="<mask>"						,__lowerCamelCase = None						,**__lowerCamelCase						,)	->     None:

						"""simple docstring"""






						lowerCAmelCase__	:							str				=	AddedToken(__UpperCamelCase						,lstrip=__UpperCamelCase						,rstrip=__UpperCamelCase					) if isinstance(__UpperCamelCase						,__UpperCamelCase					) else mask_token

						lowerCAmelCase__	:							Any				=	{} 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						,)

						lowerCAmelCase__	:							Optional[Any]				=	vocab_file
						lowerCAmelCase__	:							int				=	spm.SentencePieceProcessor(**self.sp_model_kwargs					)
						self.sp_model.Load(str(__UpperCamelCase					)					)

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

						lowerCAmelCase__	:							Optional[Any]				=	len(self.sp_model					) - 1
						lowerCAmelCase__	:							Optional[Any]				=	{v: k for k, v in self.fairseq_tokens_to_ids.items()}



		def 						lowerCAmelCase__ (self						,__lowerCamelCase						,__lowerCamelCase = None					)	->     List[int]:

						"""simple docstring"""






						if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						lowerCAmelCase__	:							Union[str, Any]				=	[self.cls_token_id]
						lowerCAmelCase__	:							int				=	[self.sep_token_id]
						return cls + token_ids_a + sep + sep + token_ids_a + sep



		def 						lowerCAmelCase__ (self						,__lowerCamelCase						,__lowerCamelCase = None						,__lowerCamelCase = False					)	->     List[int]:

						"""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						,__lowerCamelCase						,__lowerCamelCase = None					)	->     List[int]:

						"""simple docstring"""






						lowerCAmelCase__	:							Union[str, Any]				=	[self.sep_token_id]
						lowerCAmelCase__	:							str				=	[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					)	->     Dict:

						"""simple docstring"""






						return len(self.sp_model					)



		def 						lowerCAmelCase__ (self					)	->     str:

						"""simple docstring"""






						lowerCAmelCase__	:							Union[str, Any]				=	{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						,__lowerCamelCase					)	->     List[str]:

						"""simple docstring"""






						return self.sp_model.encode(__UpperCamelCase						,out_type=__UpperCamelCase					)



		def 						lowerCAmelCase__ (self						,__lowerCamelCase					)	->     Dict:

						"""simple docstring"""






						if token in self.fairseq_tokens_to_ids:
										return self.fairseq_tokens_to_ids[token]
						lowerCAmelCase__	:							Tuple				=	self.sp_model.PieceToId(__UpperCamelCase					)

						return spm_id if spm_id else self.unk_token_id



		def 						lowerCAmelCase__ (self						,__lowerCamelCase					)	->     str:

						"""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						,__lowerCamelCase					)	->     Optional[int]:

						"""simple docstring"""






						lowerCAmelCase__	:							Optional[Any]				=	[]
						lowerCAmelCase__	:							Any				=	''''''
						lowerCAmelCase__	:							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
														lowerCAmelCase__	:							List[str]				=	True
														lowerCAmelCase__	:							List[str]				=	[]
										else:
														current_sub_tokens.append(__UpperCamelCase					)
														lowerCAmelCase__	:							int				=	False
						out_string += self.sp_model.decode(__UpperCamelCase					)
						return out_string.strip()



		def __getstate__(self					)	->     int:

						"""simple docstring"""






						lowerCAmelCase__	:							str				=	self.__dict__.copy()
						lowerCAmelCase__	:							Any				=	None
						return state



		def __setstate__(self						,__lowerCamelCase					)	->     int:

						"""simple docstring"""






						lowerCAmelCase__	:							int				=	d

						# for backward compatibility
						if not hasattr(self						,'''sp_model_kwargs'''					):
										lowerCAmelCase__	:							Any				=	{}

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



		def 						lowerCAmelCase__ (self						,__lowerCamelCase						,__lowerCamelCase = None					)	->     Tuple[str]:

						"""simple docstring"""






						if not os.path.isdir(__UpperCamelCase					):
										logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""					)
										return
						lowerCAmelCase__	:							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:
														lowerCAmelCase__	:							Any				=	self.sp_model.serialized_model_proto()
														fi.write(__UpperCamelCase					)

						return (out_vocab_file,)






import re






def  lowerCamelCase_	(      lowerCAmelCase__	:	str				)       ->							str:

							'''simple docstring'''






							if len(re.findall('[ATCG]'			,	lowerCAmelCase__				)				) != len(lowerCAmelCase__				):
														raise ValueError('Invalid Strand'				)

							return dna.translate(dna.maketrans('ATCG'			,	'TAGC'				)				)


if __name__ == "__main__":
				import doctest

				doctest.testmod()