




"""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_camembert import CamembertTokenizer
else:
   lowerCamelCase__			:       str         =							None


lowerCamelCase__			:       Optional[Any]         =							logging.get_logger(__name__)

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

lowerCamelCase__			:       Union[str, Any]         =							{
    "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__			:       List[str]         =							{
    "camembert-base": 512,
}

lowerCamelCase__			:       int         =							"▁"





class 	lowerCamelCase_							(				a_ ):


 '''simple docstring'''







 lowercase_       =   VOCAB_FILES_NAMES
 lowercase_       =   PRETRAINED_VOCAB_FILES_MAP
 lowercase_       =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_       =   ["input_ids", "attention_mask"]
 lowercase_       =   CamembertTokenizer



 def __init__(							self  :		List[str]    ,    _lowerCAmelCase  :		str=None    ,    _lowerCAmelCase  :		Union[str, Any]=None    ,    _lowerCAmelCase  :		Tuple="<s>"    ,    _lowerCAmelCase  :		Any="</s>"    ,    _lowerCAmelCase  :		List[Any]="</s>"    ,    _lowerCAmelCase  :		Dict="<s>"    ,    _lowerCAmelCase  :		List[Any]="<unk>"    ,    _lowerCAmelCase  :		List[Any]="<pad>"    ,    _lowerCAmelCase  :		Optional[int]="<mask>"    ,    _lowerCAmelCase  :		Optional[Any]=["<s>NOTUSED", "</s>NOTUSED"]    ,    **_lowerCAmelCase  :		Tuple    ,    ):
       SCREAMING_SNAKE_CASE_     						=      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    ,    sep_token=_lowerCAmelCase    ,    cls_token=_lowerCAmelCase    ,    unk_token=_lowerCAmelCase    ,    pad_token=_lowerCAmelCase    ,    mask_token=_lowerCAmelCase    ,    additional_special_tokens=_lowerCAmelCase    ,    **_lowerCAmelCase    ,    )

       SCREAMING_SNAKE_CASE_     						=      vocab_file
       SCREAMING_SNAKE_CASE_     						=      False if not self.vocab_file else True



 def 				lowerCAmelCase_  (							self  :		Optional[int]    ,    _lowerCAmelCase  :		Tuple    ,    _lowerCAmelCase  :		Tuple = None						):







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



 def 				lowerCAmelCase_  (							self  :		Union[str, Any]    ,    _lowerCAmelCase  :		int    ,    _lowerCAmelCase  :		Any = None						):
       SCREAMING_SNAKE_CASE_     						=      [self.sep_token_id]
       SCREAMING_SNAKE_CASE_     						=      [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 				lowerCAmelCase_  (							self  :		Union[str, Any]    ,    _lowerCAmelCase  :		List[Any]    ,    _lowerCAmelCase  :		str = None						):







       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
       SCREAMING_SNAKE_CASE_     						=      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,)





import random
from typing import Any

def  UpperCAmelCase_							(				__UpperCAmelCase						:     list							) ->			list[Any]:
      for _ in range(len(__UpperCAmelCase							)							):
            SCREAMING_SNAKE_CASE_     						=      random.randint(0      ,      len(__UpperCAmelCase							) - 1							)
            SCREAMING_SNAKE_CASE_     						=      random.randint(0      ,      len(__UpperCAmelCase							) - 1							)
            SCREAMING_SNAKE_CASE_						,			SCREAMING_SNAKE_CASE_     						=      data[b], data[a]
      return data


if __name__ == "__main__":
   lowerCamelCase__			:       Union[str, Any]         =							[0, 1, 2, 3, 4, 5, 6, 7]
   lowerCamelCase__			:       Optional[int]         =							['python', 'says', 'hello', '!']
   print('Fisher-Yates Shuffle:')
   print('List', integers, strings)
   print('FY Shuffle', fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))