




"""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:
  SCREAMING_SNAKE_CASE_	     =       None


SCREAMING_SNAKE_CASE_	     =       logging.get_logger(__name__)


SCREAMING_SNAKE_CASE_	     =       '▁'

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

SCREAMING_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'
    },
}

SCREAMING_SNAKE_CASE_	     =       {
    'google/pegasus-xsum': 512,
}

class 				snake_case_			(					lowerCamelCase_			):







   """simple docstring"""




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







   def __init__(		self       ,					lowerCamelCase_=None       ,					lowerCamelCase_=None       ,					lowerCamelCase_="<pad>"       ,					lowerCamelCase_="</s>"       ,					lowerCamelCase_="<unk>"       ,					lowerCamelCase_="<mask_2>"       ,					lowerCamelCase_="<mask_1>"       ,					lowerCamelCase_=None       ,					lowerCamelCase_=1_0_3       ,					**lowerCamelCase_       ,					)				->   Optional[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       ,					lowerCamelCase_)				->   List[Any]:
       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       ,					lowerCamelCase_       ,					lowerCamelCase_ = None       ,					lowerCamelCase_ = 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       ,					lowerCamelCase_       ,					lowerCamelCase_=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       ,					lowerCamelCase_       ,					lowerCamelCase_ = 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,)




'''simple docstring'''





from __future__ import annotations





def   a_   (		_UpperCAmelCase    :      list[int]				)    ->  bool:
      return len(set(_UpperCAmelCase				)				) == len(_UpperCAmelCase				)


if __name__ == "__main__":
    import doctest

    doctest.testmod()



