





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:
      lowerCAmelCase__       = None


lowerCAmelCase__       = logging.get_logger(__name__)


lowerCAmelCase__       = "▁"

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

lowerCAmelCase__       = {
    "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"
    },
}

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






class 						__magic_name__    (       _snake_case    ):
 UpperCAmelCase							    =						VOCAB_FILES_NAMES
 UpperCAmelCase							    =						PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase							    =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase							    =						PegasusTokenizer
 UpperCAmelCase							    =						["""input_ids""", """attention_mask"""]


 def __init__(						self		: List[str]			,						lowerCAmelCase__		: List[str]=None			,						lowerCAmelCase__		: Tuple=None			,						lowerCAmelCase__		: Dict="<pad>"			,						lowerCAmelCase__		: Union[str, Any]="</s>"			,						lowerCAmelCase__		: str="<unk>"			,						lowerCAmelCase__		: Dict="<mask_2>"			,						lowerCAmelCase__		: str="<mask_1>"			,						lowerCAmelCase__		: int=None			,						lowerCAmelCase__		: Optional[Any]=1_0_3			,						**lowerCAmelCase__		: Any			,						)    ->      int:
   UpperCAmelCase					      =  offset

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

     UpperCAmelCase					      =  (
         ([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(lowerCAmelCase__    )			,						self.offset - 1    )
     ]

     if len(set(lowerCAmelCase__    )    ) != len(lowerCAmelCase__    ):
       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}."    )
     UpperCAmelCase					      =  additional_special_tokens_extended
   else:
     UpperCAmelCase					      =  [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__(
       lowerCAmelCase__			,						tokenizer_file=lowerCAmelCase__			,						pad_token=lowerCAmelCase__			,						eos_token=lowerCAmelCase__			,						unk_token=lowerCAmelCase__			,						mask_token=lowerCAmelCase__			,						mask_token_sent=lowerCAmelCase__			,						offset=lowerCAmelCase__			,						additional_special_tokens=lowerCAmelCase__			,						**lowerCAmelCase__			,						)
   UpperCAmelCase					      =  vocab_file
   UpperCAmelCase					      =  False if not self.vocab_file else True


 def _UpperCamelCase	(						self		: List[str]			,						lowerCAmelCase__		: Any    )    ->      List[str]:
   UpperCAmelCase					      =  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 _UpperCamelCase	(						self		: Any			,						lowerCAmelCase__		: List			,						lowerCAmelCase__		: Optional[List] = None			,						lowerCAmelCase__		: bool = False    )    ->      List[int]:
   if already_has_special_tokens:
     return self._special_token_mask(lowerCAmelCase__    )
   elif token_ids_a is None:
     return self._special_token_mask(lowerCAmelCase__    ) + [1]
   else:
     return self._special_token_mask(token_ids_a + token_ids_a    ) + [1]


 def _UpperCamelCase	(						self		: Optional[Any]			,						lowerCAmelCase__		: str			,						lowerCAmelCase__		: Dict=None    )    ->      List[int]:
   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 _UpperCamelCase	(						self		: int			,						lowerCAmelCase__		: str			,						lowerCAmelCase__		: Optional[str] = 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(lowerCAmelCase__    ):
     logger.error(f"Vocabulary path ({save_directory}) should be a directory"    )
     return
   UpperCAmelCase					      =  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,)






def      _lowerCAmelCase(	__A			):

  if not isinstance(__A   ,       __A			):
    raise TypeError("only integers accepted as input"			)
  else:
    UpperCAmelCase					      =  str(abs(__A			)			)
    UpperCAmelCase					      =  [list(__A			) for char in range(len(__A			)			)]
    for index in range(len(__A			)			):
      num_transpositions[index].pop(__A			)
    return max(
        int("".join(list(__A			)			)			) for transposition in num_transpositions			)


if __name__ == "__main__":
      __import__("doctest").testmod()



