



"""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:
  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  lowercase__  (       SCREAMING_SNAKE_CASE ):







       '''simple docstring'''


       UpperCamelCase		=	VOCAB_FILES_NAMES
       UpperCamelCase		=	PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase		=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCamelCase		=	PegasusTokenizer
       UpperCamelCase		=	['''input_ids''', '''attention_mask''']



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


             '''simple docstring'''




             UpperCAmelCase_     					=				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       )}"""       )

                   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(_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}."""       )
                   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__(
                 _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						,							)
             UpperCAmelCase_     					=				vocab_file
             UpperCAmelCase_     					=				False if not self.vocab_file else True



       def 	lowercase__							(				self     :    Optional[int]						,							_UpperCAmelCase     :    str       )					->		Union[str, Any]:


             '''simple docstring'''




             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 	lowercase__							(				self     :    List[Any]						,							_UpperCAmelCase     :    List						,							_UpperCAmelCase     :    Optional[List] = None						,							_UpperCAmelCase     :    bool = False       )					->		List[int]:


             '''simple docstring'''




             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 	lowercase__							(				self     :    Tuple						,							_UpperCAmelCase     :    Dict						,							_UpperCAmelCase     :    List[str]=None       )					->		List[int]:


             '''simple docstring'''




             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 	lowercase__							(				self     :    Any						,							_UpperCAmelCase     :    str						,							_UpperCAmelCase     :    Optional[str] = None       )					->		Tuple[str]:


             '''simple docstring'''




             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
             UpperCAmelCase_     					=				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,)











from ..utils import DummyObject, requires_backends




class 			__UpperCamelCase    (							metaclass=A__    ):
     __A	:  str							  =   ["""torch""", """scipy"""]





     def __init__(     self				,							*_UpperCamelCase				,							**_UpperCamelCase					):
        requires_backends(self				,							['''torch''', '''scipy''']					)





     @classmethod
     def 		UpperCamelCase(     cls				,							*_UpperCamelCase				,							**_UpperCamelCase					):
        requires_backends(cls				,							['''torch''', '''scipy''']					)





     @classmethod
     def 		UpperCamelCase(     cls				,							*_UpperCamelCase				,							**_UpperCamelCase					):
        requires_backends(cls				,							['''torch''', '''scipy''']					)