

import os
from shutil import copyfile
from typing import Optional, Tuple

from ...file_utils import is_sentencepiece_available
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if is_sentencepiece_available():
 from .tokenization_deberta_va import DebertaVaTokenizer
else:
 _UpperCamelCase     =    None

_UpperCamelCase     =    logging.get_logger(__name__)

_UpperCamelCase     =    {'''vocab_file''': '''spm.model''', '''tokenizer_file''': '''tokenizer.json'''}

_UpperCamelCase     =    {
    '''vocab_file''': {
        '''microsoft/deberta-v2-xlarge''': '''https://huggingface.co/microsoft/deberta-v2-xlarge/resolve/main/spm.model''',
        '''microsoft/deberta-v2-xxlarge''': '''https://huggingface.co/microsoft/deberta-v2-xxlarge/resolve/main/spm.model''',
        '''microsoft/deberta-v2-xlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/main/spm.model'''
        ),
        '''microsoft/deberta-v2-xxlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-v2-xxlarge-mnli/resolve/main/spm.model'''
        ),
    }
}

_UpperCamelCase     =    {
    '''microsoft/deberta-v2-xlarge''': 512,
    '''microsoft/deberta-v2-xxlarge''': 512,
    '''microsoft/deberta-v2-xlarge-mnli''': 512,
    '''microsoft/deberta-v2-xxlarge-mnli''': 512,
}

_UpperCamelCase     =    {
    '''microsoft/deberta-v2-xlarge''': {'''do_lower_case''': False},
    '''microsoft/deberta-v2-xxlarge''': {'''do_lower_case''': False},
    '''microsoft/deberta-v2-xlarge-mnli''': {'''do_lower_case''': False},
    '''microsoft/deberta-v2-xxlarge-mnli''': {'''do_lower_case''': False},
}



class 					lowercase		( _UpperCamelCase      ):



 '''simple docstring'''


 __SCREAMING_SNAKE_CASE      							=       VOCAB_FILES_NAMES
 __SCREAMING_SNAKE_CASE      							=       PRETRAINED_VOCAB_FILES_MAP
 __SCREAMING_SNAKE_CASE      							=       PRETRAINED_INIT_CONFIGURATION
 __SCREAMING_SNAKE_CASE      							=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __SCREAMING_SNAKE_CASE      							=       DebertaVaTokenizer




 def __init__(self , __a=None , __a=None , __a=False , __a=False , __a="[CLS]" , __a="[SEP]" , __a="[UNK]" , __a="[SEP]" , __a="[PAD]" , __a="[CLS]" , __a="[MASK]" , **__a , )				->      None:






  """simple docstring"""





  super().__init__(
      __a , tokenizer_file=__a , do_lower_case=__a , bos_token=__a , eos_token=__a , unk_token=__a , sep_token=__a , pad_token=__a , cls_token=__a , mask_token=__a , split_by_punct=__a , **__a , )

  UpperCAmelCase__           =       do_lower_case
  UpperCAmelCase__           =       split_by_punct
  UpperCAmelCase__           =       vocab_file
  UpperCAmelCase__           =       False if not self.vocab_file else True




 def 						UpperCamelCase__							(self , __a , __a=None				)				->      str:






  """simple docstring"""





  if token_ids_a is None:
   return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  UpperCAmelCase__           =       [self.cls_token_id]
  UpperCAmelCase__           =       [self.sep_token_id]
  return cls + token_ids_a + sep + token_ids_a + sep




 def 						UpperCamelCase__							(self , __a , __a=None , __a=False				)				->      List[str]:






  """simple docstring"""





  if already_has_special_tokens:
   return super().get_special_tokens_mask(
       token_ids_a=__a , token_ids_a=__a , already_has_special_tokens=__a				)

  if token_ids_a is not None:
   return [1] + ([0] * len(__a				)) + [1] + ([0] * len(__a				)) + [1]
  return [1] + ([0] * len(__a				)) + [1]




 def 						UpperCamelCase__							(self , __a , __a=None				)				->      Union[str, Any]:






  """simple docstring"""





  UpperCAmelCase__           =       [self.sep_token_id]
  UpperCAmelCase__           =       [self.cls_token_id]
  if token_ids_a is None:
   return len(cls + token_ids_a + sep				) * [0]
  return len(cls + token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]




 def 						UpperCamelCase__							(self , __a , __a = 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(__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 		UpperCamelCase_(    snake_case__:						int     ) ->				int:
 if not isinstance(snake_case__						,					snake_case__     ):
  UpperCAmelCase__           =       f"Input value of [number={number}] must be an integer"
  raise TypeError(snake_case__     )
 if number < 1:
  raise ValueError('Input must be a positive integer'     )
 return number * (2 * number - 1)


if __name__ == "__main__":
 import doctest

 doctest.testmod()



