




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_camembert import CamembertTokenizer
else:
       lowerCamelCase	:	List[str]				=   None


lowerCamelCase	:	Tuple				=   logging.get_logger(__name__)

lowerCamelCase	:	Optional[int]				=   {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase	:	Tuple				=   {
    'vocab_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model',
    },
    'tokenizer_file': {
        'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/tokenizer.json',
    },
}

lowerCamelCase	:	Optional[Any]				=   {
    'camembert-base': 5_1_2,
}

lowerCamelCase	:	int				=   '▁'




class 						__lowercase		(UpperCamelCase__							):




      """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"""]
      _snake_case												=						CamembertTokenizer

      def __init__(				self    ,				A=None    ,				A=None    ,				A="<s>"    ,				A="</s>"    ,				A="</s>"    ,				A="<s>"    ,				A="<unk>"    ,				A="<pad>"    ,				A="<mask>"    ,				A=["<s>NOTUSED", "</s>NOTUSED"]    ,				**A    ,				)		->    Any:
         # Mask token behave like a normal word, i.e. include the space before it
         snake_case				:    Optional[int]           =	AddedToken(A    ,				lstrip=A    ,				rstrip=A     ) if isinstance(A    ,				A     ) else mask_token

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

         snake_case				:    Optional[Any]           =	vocab_file
         snake_case				:    Union[str, Any]           =	False if not self.vocab_file else True

      def      UpperCAmelCase				(				self    ,				A    ,				A = None     )		->    List[int]:

         if token_ids_a is None:
            return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
         snake_case				:    List[Any]           =	[self.cls_token_id]
         snake_case				:    Optional[Any]           =	[self.sep_token_id]
         return cls + token_ids_a + sep + sep + token_ids_a + sep

      def      UpperCAmelCase				(				self    ,				A    ,				A = None     )		->    List[int]:
         snake_case				:    Any           =	[self.sep_token_id]
         snake_case				:    Dict           =	[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      UpperCAmelCase				(				self    ,				A    ,				A = None     )		->    Tuple[str]:
         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(A     ):
            logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""     )
            return
         snake_case				:    Union[str, Any]           =	os.path.join(
             A    ,				(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]     )

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

         return (out_vocab_file,)











import warnings
from functools import wraps
from typing import Callable




def 						SCREAMING_SNAKE_CASE__ (   lowercase					)  ->       Callable:

   @wraps(lowercase					)
   def _inner_fn(*lowercase						,**lowercase					):
      warnings.warn(
          (f"""'{fn.__name__}' is experimental and might be subject to breaking changes in the future.""")						,lowercase						,)
      return fn(*lowercase						,**lowercase					)

   return _inner_fn





