






'''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


lowerCamelCase_				: Tuple    	=							logging.get_logger(__name__)

lowerCamelCase_				: str    	=							{'''vocab_file''': '''sentencepiece.bpe.model'''}

lowerCamelCase_				: List[str]    	=							{
    '''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'''
        ),
    },
}

lowerCamelCase_				: Any    	=							{
    '''moussaKam/mbarthez''': 1024,
    '''moussaKam/barthez''': 1024,
    '''moussaKam/barthez-orangesum-title''': 1024,
}

lowerCamelCase_				: str    	=							'''▁'''
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							List[Any]					     =					VOCAB_FILES_NAMES
			__a							:							Union[str, Any]					     =					PRETRAINED_VOCAB_FILES_MAP
			__a							:							Tuple					     =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__a							:							Any					     =					["input_ids", "attention_mask"]






			def __init__(   self							:						Union[str, Any] ,      lowercase							:						List[Any] ,      lowercase							:						Tuple="<s>" ,      lowercase							:						int="</s>" ,      lowercase							:						int="</s>" ,      lowercase							:						Any="<s>" ,      lowercase							:						Optional[int]="<unk>" ,      lowercase							:						int="<pad>" ,      lowercase							:						Dict="<mask>" ,      lowercase							:						Optional[Dict[str, Any]] = None ,      **lowercase							:						Optional[Any] ,      )							->    None:

									'''simple docstring'''







									UpperCamelCase__         = AddedToken(lowercase ,      lstrip=lowercase ,      rstrip=lowercase			) if isinstance(lowercase ,      lowercase			) else mask_token

									UpperCamelCase__         = {} if sp_model_kwargs is None else sp_model_kwargs

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

									UpperCamelCase__         = vocab_file
									UpperCamelCase__         = spm.SentencePieceProcessor(**self.sp_model_kwargs			)
									self.sp_model.Load(str(lowercase			)			)

									UpperCamelCase__         = {"""<s>""": 0, """<pad>""": 1, """</s>""": 2, """<unk>""": 3}

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






			def 				A      (   self							:						List[str] ,      lowercase							:						List[int] ,      lowercase							:						Optional[List[int]] = None			)							->    List[int]:

									'''simple docstring'''







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






			def 				A      (   self							:						str ,      lowercase							:						List[int] ,      lowercase							:						Optional[List[int]] = None ,      lowercase							:						bool = False			)							->    List[int]:

									'''simple docstring'''







									if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=lowercase ,      token_ids_a=lowercase ,      already_has_special_tokens=lowercase			)

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






			def 				A      (   self							:						List[str] ,      lowercase							:						List[int] ,      lowercase							:						Optional[List[int]] = None			)							->    List[int]:

									'''simple docstring'''







									UpperCamelCase__         = [self.sep_token_id]
									UpperCamelCase__         = [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 				A      (   self							:						str			)							->    List[Any]:

									'''simple docstring'''







									return len(self.sp_model			)






			def 				A      (   self							:						Dict			)							->    List[str]:

									'''simple docstring'''







									UpperCamelCase__         = {self.convert_ids_to_tokens(lowercase			): i for i in range(self.vocab_size			)}
									vocab.update(self.added_tokens_encoder			)
									return vocab






			def 				A      (   self							:						Tuple ,      lowercase							:						str			)							->    List[str]:

									'''simple docstring'''







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






			def 				A      (   self							:						Dict ,      lowercase							:						Any			)							->    Tuple:

									'''simple docstring'''







									if token in self.fairseq_tokens_to_ids:
															return self.fairseq_tokens_to_ids[token]
									UpperCamelCase__         = self.sp_model.PieceToId(lowercase			)

									return spm_id if spm_id else self.unk_token_id






			def 				A      (   self							:						List[Any] ,      lowercase							:						str			)							->    Dict:

									'''simple docstring'''







									if index in self.fairseq_ids_to_tokens:
															return self.fairseq_ids_to_tokens[index]
									return self.sp_model.IdToPiece(lowercase			)






			def 				A      (   self							:						int ,      lowercase							:						Optional[int]			)							->    Tuple:

									'''simple docstring'''







									UpperCamelCase__         = []
									UpperCamelCase__         = """"""
									UpperCamelCase__         = 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(lowercase			) + token
																					UpperCamelCase__         = True
																					UpperCamelCase__         = []
															else:
																					current_sub_tokens.append(lowercase			)
																					UpperCamelCase__         = False
									out_string += self.sp_model.decode(lowercase			)
									return out_string.strip()






			def __getstate__(   self							:						str			)							->    Any:

									'''simple docstring'''







									UpperCamelCase__         = self.__dict__.copy()
									UpperCamelCase__         = None
									return state






			def __setstate__(   self							:						Dict ,      lowercase							:						int			)							->    Optional[int]:

									'''simple docstring'''







									UpperCamelCase__         = d

									# for backward compatibility
									if not hasattr(self ,      """sp_model_kwargs"""			):
															UpperCamelCase__         = {}

									UpperCamelCase__         = spm.SentencePieceProcessor(**self.sp_model_kwargs			)
									self.sp_model.Load(self.vocab_file			)







			def 				A      (   self							:						Any ,      lowercase							:						str ,      lowercase							:						Optional[str] = None			)							->    Tuple[str]:

									'''simple docstring'''







									if not os.path.isdir(lowercase			):
															logger.error(f"Vocabulary path ({save_directory}) should be a directory"			)
															return
									UpperCamelCase__         = os.path.join(
									    lowercase ,      (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]			)

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

									return (out_vocab_file,)








'''simple docstring'''


from typing import TYPE_CHECKING

from ..utils import _LazyModule


lowerCamelCase_				: List[Any]    	=							{
    '''config''': [
        '''EXTERNAL_DATA_FORMAT_SIZE_LIMIT''',
        '''OnnxConfig''',
        '''OnnxConfigWithPast''',
        '''OnnxSeq2SeqConfigWithPast''',
        '''PatchingSpec''',
    ],
    '''convert''': ['''export''', '''validate_model_outputs'''],
    '''features''': ['''FeaturesManager'''],
    '''utils''': ['''ParameterFormat''', '''compute_serialized_parameters_size'''],
}


if TYPE_CHECKING:
					from .config import (
					    EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
					    OnnxConfig,
					    OnnxConfigWithPast,
					    OnnxSeqaSeqConfigWithPast,
					    PatchingSpec,
					)
					from .convert import export, validate_model_outputs
					from .features import FeaturesManager
					from .utils import ParameterFormat, compute_serialized_parameters_size

else:
					import sys

					lowerCamelCase_				: List[Any]    	=							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
