


'''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:
  UpperCamelCase__    					=      None


UpperCamelCase__    					=      logging.get_logger(__name__)


UpperCamelCase__    					=      '▁'

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

UpperCamelCase__    					=      {
    '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'
    },
}

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




class 			lowerCamelCase_   (	_UpperCamelCase      ):
      lowerCAmelCase__		     =     VOCAB_FILES_NAMES
      lowerCAmelCase__		     =     PRETRAINED_VOCAB_FILES_MAP
      lowerCAmelCase__		     =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowerCAmelCase__		     =     PegasusTokenizer
      lowerCAmelCase__		     =     ['input_ids', 'attention_mask']






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


          '''simple docstring'''


          UpperCAmelCase__			:		Dict													=				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__			:		Optional[int]													=				(
                  ([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__			:		Any													=				additional_special_tokens_extended
          else:
              UpperCAmelCase__			:		Union[str, Any]													=				[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__			:		Optional[int]													=				vocab_file
          UpperCAmelCase__			:		Optional[int]													=				False if not self.vocab_file else True






      def lowercase_							(					self				:    Union[str, Any]						,						_A				:    Optional[Any] ):


          '''simple docstring'''


          UpperCAmelCase__			:		Any													=				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				:    Any						,						_A				:    List						,						_A				:    Optional[List] = None						,						_A				:    bool = False ):


          '''simple docstring'''


          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 lowercase_							(					self				:    str						,						_A				:    Optional[Any]						,						_A				:    Optional[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 lowercase_							(					self				:    Dict						,						_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(lowerCAmelCase_ ):
              logger.error(f"""Vocabulary path ({save_directory}) should be a directory""" )
              return
          UpperCAmelCase__			:		List[Any]													=				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   a_    ( lowerCAmelCase_      :			int	):
   if number < 0:
      raise ValueError('number must not be negative'	)
   return number & (number - 1) == 0


if __name__ == "__main__":
     import doctest

     doctest.testmod()

