


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:
    __snake_case   							=						None


__snake_case   							=						logging.get_logger(__name__)


__snake_case   							=						'''▁'''

__snake_case   							=						{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

__snake_case   							=						{
    '''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'''
    },
}

__snake_case   							=						{
    '''google/pegasus-xsum''': 5_1_2,
}



class 	__lowerCamelCase			(_a						):
       _lowercase											=     VOCAB_FILES_NAMES
       _lowercase											=     PRETRAINED_VOCAB_FILES_MAP
       _lowercase											=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _lowercase											=     PegasusTokenizer
       _lowercase											=     ["""input_ids""", """attention_mask"""]







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






            '''simple docstring'''




            __UpperCamelCase =			offset

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

                 __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(A_					),self.offset - 1					)
                 ]

                 if len(set(A_					)					) != len(A_					):
                      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__(
                A_,tokenizer_file=A_,pad_token=A_,eos_token=A_,unk_token=A_,mask_token=A_,mask_token_sent=A_,offset=A_,additional_special_tokens=A_,**A_,)
            __UpperCamelCase =			vocab_file
            __UpperCamelCase =			False if not self.vocab_file else True







       def 		snake_case_	(			self: Optional[Any],A_: List[str]					):






            '''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 		snake_case_	(			self: List[Any],A_: List,A_: Optional[List] = None,A_: bool = False					):






            '''simple docstring'''




            if already_has_special_tokens:
                 return self._special_token_mask(A_					)
            elif token_ids_a is None:
                 return self._special_token_mask(A_					) + [1]
            else:
                 return self._special_token_mask(token_ids_a + token_ids_a					) + [1]







       def 		snake_case_	(			self: int,A_: Dict,A_: List[Any]=None					):






            '''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 		snake_case_	(			self: List[Any],A_: str,A_: Optional[str] = None					):






            '''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(A_					):
                 logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''					)
                 return
            __UpperCamelCase =			os.path.join(
                A_,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)

            if os.path.abspath(self.vocab_file					) != os.path.abspath(A_					):
                 copyfile(self.vocab_file,A_					)

            return (out_vocab_file,)






def 		_A		(		_lowercase )					-> int:


     """simple docstring"""


     assert column_title.isupper()
     __UpperCamelCase =			0
     __UpperCamelCase =			len(_lowercase ) - 1
     __UpperCamelCase =			0

     while index >= 0:
          __UpperCamelCase =			(ord(column_title[index] ) - 64) * pow(26					,  _lowercase )
          answer += value
          power += 1
          index -= 1

     return answer


if __name__ == "__main__":
    from doctest import testmod

    testmod()


