



'''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										=     None


_lowerCAmelCase										=     logging.get_logger(__name__)

_lowerCAmelCase										=     {"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

_lowerCAmelCase										=     {
    "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										=     {
    "camembert-base": 512,
}

_lowerCAmelCase										=     "▁"






class 	lowerCAmelCase_(    a_					):
  '''simple docstring'''




  __lowercase							:				str           =				VOCAB_FILES_NAMES
  __lowercase							:				Optional[int]           =				PRETRAINED_VOCAB_FILES_MAP
  __lowercase							:				str           =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowercase							:				List[Any]           =				["input_ids", "attention_mask"]
  __lowercase							:				Optional[Any]           =				CamembertTokenizer




  def __init__(   self  ,__UpperCAmelCase=None  ,__UpperCAmelCase=None  ,__UpperCAmelCase="<s>"  ,__UpperCAmelCase="</s>"  ,__UpperCAmelCase="</s>"  ,__UpperCAmelCase="<s>"  ,__UpperCAmelCase="<unk>"  ,__UpperCAmelCase="<pad>"  ,__UpperCAmelCase="<mask>"  ,__UpperCAmelCase=["<s>NOTUSED", "</s>NOTUSED"]  ,**__UpperCAmelCase  ,)   ->		List[Any]:
      lowerCAmelCase__			:  Dict											= AddedToken(__UpperCAmelCase  ,lstrip=__UpperCAmelCase  ,rstrip=__UpperCAmelCase				) if isinstance(__UpperCAmelCase  ,__UpperCAmelCase				) else mask_token

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

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




  def 							UpperCAmelCase_     (   self  ,__UpperCAmelCase  ,__UpperCAmelCase = None				)   ->		List[int]:







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




  def 							UpperCAmelCase_     (   self  ,__UpperCAmelCase  ,__UpperCAmelCase = None				)   ->		List[int]:
      lowerCAmelCase__			:  str											= [self.sep_token_id]
      lowerCAmelCase__			:  Optional[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 							UpperCAmelCase_     (   self  ,__UpperCAmelCase  ,__UpperCAmelCase = 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(__UpperCAmelCase				):
          logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""				)
          return
      lowerCAmelCase__			:  Union[str, Any]											= 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				):
          copyfile(self.vocab_file  ,__UpperCAmelCase				)

      return (out_vocab_file,)







'''simple docstring'''





def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase      ):



    """simple docstring"""





    if any(not isinstance(UpperCamelCase							,   UpperCamelCase      ) or x < 0 for x in sequence      ):
        raise TypeError("""Sequence must be list of non-negative integers"""      )
    for _ in range(len(UpperCamelCase      )      ):
        for i, (rod_upper, rod_lower) in enumerate(zip(UpperCamelCase							,   sequence[1:]      )      ):
            if rod_upper > rod_lower:
                sequence[i] -= rod_upper - rod_lower
                sequence[i + 1] += rod_upper - rod_lower
    return sequence


if __name__ == "__main__":
 assert bead_sort([5, 4, 3, 2, 1]) == [1, 2, 3, 4, 5]
 assert bead_sort([7, 9, 4, 3, 5]) == [3, 4, 5, 7, 9]


