
'''simple docstring'''
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
     from .tokenization_barthez import BarthezTokenizer
else:
     A__   :		List[Any] 		=None

A__   :		List[str] 		=logging.get_logger(__name__)

A__   :		List[Any] 		={'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

A__   :		Dict 		={
    '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'
        ),
    },
    'tokenizer_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json'
        ),
    },
}

A__   :		int 		={
    'moussaKam/mbarthez': 1_024,
    'moussaKam/barthez': 1_024,
    'moussaKam/barthez-orangesum-title': 1_024,
}

A__   :		List[str] 		='▁'







class  __A				( _SCREAMING_SNAKE_CASE			):
 lowerCamelCase				       =VOCAB_FILES_NAMES
 lowerCamelCase				       =PRETRAINED_VOCAB_FILES_MAP
 lowerCamelCase				       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCamelCase				       =['''input_ids''', '''attention_mask''']
 lowerCamelCase				       =BarthezTokenizer
 def __init__(   self			:    Any				,   lowerCamelCase			:    Union[str, Any]=None				,   lowerCamelCase			:    Dict=None				,   lowerCamelCase			:    str="<s>"				,   lowerCamelCase			:    Tuple="</s>"				,   lowerCamelCase			:    List[str]="</s>"				,   lowerCamelCase			:    Optional[int]="<s>"				,   lowerCamelCase			:    List[str]="<unk>"				,   lowerCamelCase			:    str="<pad>"				,   lowerCamelCase			:    Optional[Any]="<mask>"				,   **lowerCamelCase			:    List[str]				,   ):



   """simple docstring"""





   __A		:     List[Any]												=		AddedToken(lowerCamelCase				,   lstrip=lowerCamelCase				,   rstrip=lowerCamelCase       ) if isinstance(lowerCamelCase				,   lowerCamelCase       ) else mask_token

   super().__init__(
       lowerCamelCase				,   tokenizer_file=lowerCamelCase				,   bos_token=lowerCamelCase				,   eos_token=lowerCamelCase				,   unk_token=lowerCamelCase				,   sep_token=lowerCamelCase				,   cls_token=lowerCamelCase				,   pad_token=lowerCamelCase				,   mask_token=lowerCamelCase				,   **lowerCamelCase				,   )

   __A		:     str												=		vocab_file
   __A		:     Union[str, Any]												=		False if not self.vocab_file else True
 def 		lowercase_(   self			:    List[Any]				,   lowerCamelCase			:    List[int]				,   lowerCamelCase			:    Optional[List[int]] = None       ):



   """simple docstring"""





   if token_ids_a is None:
     return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
   __A		:     List[str]												=		[self.cls_token_id]
   __A		:     Optional[Any]												=		[self.sep_token_id]
   return cls + token_ids_a + sep + sep + token_ids_a + sep
 def 		lowercase_(   self			:    Union[str, Any]				,   lowerCamelCase			:    List[int]				,   lowerCamelCase			:    Optional[List[int]] = None       ):



   """simple docstring"""





   __A		:     Optional[int]												=		[self.sep_token_id]
   __A		:     List[Any]												=		[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]






 def 		lowercase_(   self			:    Any				,   lowerCamelCase			:    str				,   lowerCamelCase			:    Optional[str] = None       ):



   """simple docstring"""





   if not self.can_save_slow_tokenizer:
     raise ValueError(
         """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
         """tokenizer."""       )

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

   if os.path.abspath(self.vocab_file       ) != os.path.abspath(lowerCamelCase       ):
     copyfile(self.vocab_file				,   lowerCamelCase       )

   return (out_vocab_file,)





'''simple docstring'''
from __future__ import annotations







def        A_     (						__SCREAMING_SNAKE_CASE						:  list[int] )				->       int:





  """simple docstring"""

  if not nums:
    return 0
  __A		:     List[Any]												=		nums[0]
  __A		:     Union[str, Any]												=		0
  for num in nums[1:]:
    __A							,					__A		:     Union[str, Any]												=		(
        max_excluding + num,
        max(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE ),
    )
  return max(__SCREAMING_SNAKE_CASE			,     __SCREAMING_SNAKE_CASE )


if __name__ == "__main__":
     import doctest

     doctest.testmod()



