


"""simple docstring"""







import os
from shutil import copyfile
from typing import List, Optional, Tuple

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


if is_sentencepiece_available():
 from .tokenization_pegasus import PegasusTokenizer
else:
 __lowercase    					=      None


__lowercase    					=      logging.get_logger(__name__)


__lowercase    					=      """▁"""

__lowercase    					=      {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

__lowercase    					=      {
    """vocab_file""": {"""google/pegasus-xsum""": """https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model"""},
    """tokenizer_file""": {
        """google/pegasus-xsum""": """https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json"""
    },
}

__lowercase    					=      {
    """google/pegasus-xsum""": 512,
}






class 						_A  (  _a  ):







    """simple docstring"""




    UpperCAmelCase       :							Optional[int]	=       VOCAB_FILES_NAMES
    UpperCAmelCase       :							int	=       PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase       :							Any	=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase       :							Optional[Any]	=       PegasusTokenizer
    UpperCAmelCase       :							str	=       ["""input_ids""", """attention_mask"""]






    def __init__(					self				:    Dict				, __UpperCAmelCase				:    Dict=None				, __UpperCAmelCase				:    Optional[int]=None				, __UpperCAmelCase				:    List[Any]="<pad>"				, __UpperCAmelCase				:    Optional[int]="</s>"				, __UpperCAmelCase				:    Optional[int]="<unk>"				, __UpperCAmelCase				:    str="<mask_2>"				, __UpperCAmelCase				:    List[str]="<mask_1>"				, __UpperCAmelCase				:    str=None				, __UpperCAmelCase				:    Any=103				, **__UpperCAmelCase				:    Union[str, Any]				, ):
      a						:		List[Any]      							=			offset

      if additional_special_tokens is not None:
        if not isinstance(__UpperCAmelCase				, __UpperCAmelCase):
          raise TypeError(
              f'''additional_special_tokens should be of type {type(__UpperCAmelCase)}, but is'''
              f''' {type(__UpperCAmelCase)}''')

        a						:		Dict      							=			(
            ([mask_token_sent] + additional_special_tokens)
            if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
            else additional_special_tokens
        )
        # fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
        additional_special_tokens_extended += [
            f'''<unk_{i}>''' for i in range(len(__UpperCAmelCase)				, self.offset - 1)
        ]

        if len(set(__UpperCAmelCase)) != len(__UpperCAmelCase):
          raise ValueError(
              "Please make sure that the provided additional_special_tokens do not contain an incorrectly"
              f''' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.''')
        a						:		int      							=			additional_special_tokens_extended
      else:
        a						:		List[str]      							=			[mask_token_sent] if mask_token_sent is not None else []
        additional_special_tokens += [f'''<unk_{i}>''' for i in range(2				, self.offset)]

      super().__init__(
          __UpperCAmelCase				, tokenizer_file=__UpperCAmelCase				, pad_token=__UpperCAmelCase				, eos_token=__UpperCAmelCase				, unk_token=__UpperCAmelCase				, mask_token=__UpperCAmelCase				, mask_token_sent=__UpperCAmelCase				, offset=__UpperCAmelCase				, additional_special_tokens=__UpperCAmelCase				, **__UpperCAmelCase				, )
      a						:		str      							=			vocab_file
      a						:		str      							=			False if not self.vocab_file else True






    def 	__snake_case							(					self				:    Tuple				, __UpperCAmelCase				:    int):
      a						:		int      							=			set(self.all_special_ids)  # call it once instead of inside list comp
      all_special_ids.remove(self.unk_token_id)  # <unk> is only sometimes special

      if all_special_ids != set(range(len(self.additional_special_tokens) + 3)):
        raise ValueError(
            "There should be 3 special tokens: mask_token, pad_token, and eos_token +"
            f''' {len(self.additional_special_tokens)} additional_special_tokens, but got {all_special_ids}''')

      return [1 if x in all_special_ids else 0 for x in seq]






    def 	__snake_case							(					self				:    Any				, __UpperCAmelCase				:    List				, __UpperCAmelCase				:    Optional[List] = None				, __UpperCAmelCase				:    bool = False):
      if already_has_special_tokens:
        return self._special_token_mask(__UpperCAmelCase)
      elif token_ids_a is None:
        return self._special_token_mask(__UpperCAmelCase) + [1]
      else:
        return self._special_token_mask(token_ids_a + token_ids_a) + [1]






    def 	__snake_case							(					self				:    Optional[int]				, __UpperCAmelCase				:    Tuple				, __UpperCAmelCase				:    Optional[int]=None):
      if token_ids_a is None:
        return token_ids_a + [self.eos_token_id]
      # We don't expect to process pairs, but leave the pair logic for API consistency
      return token_ids_a + token_ids_a + [self.eos_token_id]






    def 	__snake_case							(					self				:    Optional[int]				, __UpperCAmelCase				:    str				, __UpperCAmelCase				:    Optional[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(__UpperCAmelCase):
        logger.error(f'''Vocabulary path ({save_directory}) should be a directory''')
        return
      a						:		Dict      							=			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      lowercase			(				A_       )->      str:
  '''simple docstring'''







  if isinstance(A_  ,   A_       ):
    raise TypeError("'float' object cannot be interpreted as an integer"       )
  if isinstance(A_  ,   A_       ):
    raise TypeError("'str' object cannot be interpreted as an integer"       )

  if num == 0:
    return "0b0"

  a						:		Optional[Any]      							=			False

  if num < 0:
    a						:		Tuple      							=			True
    a						:		str      							=			-num

  a						:		list[int]      							=			[]
  while num > 0:
    binary.insert(0  ,   num % 2       )
    num >>= 1

  if negative:
    return "-0b" + "".join(str(A_       ) for e in binary       )

  return "0b" + "".join(str(A_       ) for e in binary       )


if __name__ == "__main__":
 import doctest

 doctest.testmod()






