"""simple docstring"""







import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_deberta import DebertaTokenizer


if TYPE_CHECKING:
     from transformers.pipelines.conversational import Conversation


_SCREAMING_SNAKE_CASE	:		int   =   logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE	:		Dict   =   {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

_SCREAMING_SNAKE_CASE	:		str   =   {
    '''vocab_file''': {
        '''microsoft/deberta-base''': '''https://huggingface.co/microsoft/deberta-base/resolve/main/vocab.json''',
        '''microsoft/deberta-large''': '''https://huggingface.co/microsoft/deberta-large/resolve/main/vocab.json''',
        '''microsoft/deberta-xlarge''': '''https://huggingface.co/microsoft/deberta-xlarge/resolve/main/vocab.json''',
        '''microsoft/deberta-base-mnli''': '''https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/vocab.json''',
        '''microsoft/deberta-large-mnli''': '''https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/vocab.json''',
        '''microsoft/deberta-xlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''microsoft/deberta-base''': '''https://huggingface.co/microsoft/deberta-base/resolve/main/merges.txt''',
        '''microsoft/deberta-large''': '''https://huggingface.co/microsoft/deberta-large/resolve/main/merges.txt''',
        '''microsoft/deberta-xlarge''': '''https://huggingface.co/microsoft/deberta-xlarge/resolve/main/merges.txt''',
        '''microsoft/deberta-base-mnli''': '''https://huggingface.co/microsoft/deberta-base-mnli/resolve/main/merges.txt''',
        '''microsoft/deberta-large-mnli''': '''https://huggingface.co/microsoft/deberta-large-mnli/resolve/main/merges.txt''',
        '''microsoft/deberta-xlarge-mnli''': (
            '''https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/main/merges.txt'''
        ),
    },
}

_SCREAMING_SNAKE_CASE	:		Dict   =   {
    '''microsoft/deberta-base''': 5_1_2,
    '''microsoft/deberta-large''': 5_1_2,
    '''microsoft/deberta-xlarge''': 5_1_2,
    '''microsoft/deberta-base-mnli''': 5_1_2,
    '''microsoft/deberta-large-mnli''': 5_1_2,
    '''microsoft/deberta-xlarge-mnli''': 5_1_2,
}

_SCREAMING_SNAKE_CASE	:		str   =   {
    '''microsoft/deberta-base''': {'''do_lower_case''': False},
    '''microsoft/deberta-large''': {'''do_lower_case''': False},
}






class      _SCREAMING_SNAKE_CASE							(			UpperCAmelCase				):



   '''simple docstring'''



   __UpperCAmelCase	:							Union[str, Any]    =    VOCAB_FILES_NAMES
   __UpperCAmelCase	:							Optional[int]    =    PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase	:							Optional[int]    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase	:							Any    =    ["input_ids", "attention_mask", "token_type_ids"]
   __UpperCAmelCase	:							List[Any]    =    DebertaTokenizer







   def __init__(	self ,				_SCREAMING_SNAKE_CASE=None ,				_SCREAMING_SNAKE_CASE=None ,				_SCREAMING_SNAKE_CASE=None ,				_SCREAMING_SNAKE_CASE="replace" ,				_SCREAMING_SNAKE_CASE="[CLS]" ,				_SCREAMING_SNAKE_CASE="[SEP]" ,				_SCREAMING_SNAKE_CASE="[SEP]" ,				_SCREAMING_SNAKE_CASE="[CLS]" ,				_SCREAMING_SNAKE_CASE="[UNK]" ,				_SCREAMING_SNAKE_CASE="[PAD]" ,				_SCREAMING_SNAKE_CASE="[MASK]" ,				_SCREAMING_SNAKE_CASE=False ,				**_SCREAMING_SNAKE_CASE ,				):


      '''simple docstring'''

      super().__init__(
          _SCREAMING_SNAKE_CASE ,				_SCREAMING_SNAKE_CASE ,				tokenizer_file=_SCREAMING_SNAKE_CASE ,				errors=_SCREAMING_SNAKE_CASE ,				bos_token=_SCREAMING_SNAKE_CASE ,				eos_token=_SCREAMING_SNAKE_CASE ,				unk_token=_SCREAMING_SNAKE_CASE ,				sep_token=_SCREAMING_SNAKE_CASE ,				cls_token=_SCREAMING_SNAKE_CASE ,				pad_token=_SCREAMING_SNAKE_CASE ,				mask_token=_SCREAMING_SNAKE_CASE ,				add_prefix_space=_SCREAMING_SNAKE_CASE ,				**_SCREAMING_SNAKE_CASE ,				)
      __lowerCamelCase    		=					kwargs.pop('add_bos_token' ,				_SCREAMING_SNAKE_CASE	)

      __lowerCamelCase    		=					json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()	)
      if pre_tok_state.get('add_prefix_space' ,				_SCREAMING_SNAKE_CASE	) != add_prefix_space:
         __lowerCamelCase    		=					getattr(_SCREAMING_SNAKE_CASE ,				pre_tok_state.pop('type'	)	)
         __lowerCamelCase    		=					add_prefix_space
         __lowerCamelCase    		=					pre_tok_class(**_SCREAMING_SNAKE_CASE	)

      __lowerCamelCase    		=					add_prefix_space







   @property
   def    _A				(	self	):


      '''simple docstring'''

      if self._mask_token is None:
         if self.verbose:
            logger.error('Using mask_token, but it is not set yet.'	)
         return None
      return str(self._mask_token	)







   @mask_token.setter
   def    _A				(	self ,				_SCREAMING_SNAKE_CASE	):


      '''simple docstring'''

      __lowerCamelCase    		=					AddedToken(_SCREAMING_SNAKE_CASE ,				lstrip=_SCREAMING_SNAKE_CASE ,				rstrip=_SCREAMING_SNAKE_CASE	) if isinstance(_SCREAMING_SNAKE_CASE ,				_SCREAMING_SNAKE_CASE	) else value
      __lowerCamelCase    		=					value







   def    _A				(	self ,				_SCREAMING_SNAKE_CASE ,				_SCREAMING_SNAKE_CASE = None	):


      '''simple docstring'''

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







   def    _A				(	self ,				_SCREAMING_SNAKE_CASE ,				_SCREAMING_SNAKE_CASE = None	):


      '''simple docstring'''

      __lowerCamelCase    		=					[self.sep_token_id]
      __lowerCamelCase    		=					[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    _A				(	self ,				*_SCREAMING_SNAKE_CASE ,				**_SCREAMING_SNAKE_CASE	):


      '''simple docstring'''

      __lowerCamelCase    		=					kwargs.get('is_split_into_words' ,				_SCREAMING_SNAKE_CASE	)
      assert self.add_prefix_space or not is_split_into_words, (
          F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
          "to use it with pretokenized inputs."
      )

      return super()._batch_encode_plus(*_SCREAMING_SNAKE_CASE ,				**_SCREAMING_SNAKE_CASE	)







   def    _A				(	self ,				*_SCREAMING_SNAKE_CASE ,				**_SCREAMING_SNAKE_CASE	):


      '''simple docstring'''

      __lowerCamelCase    		=					kwargs.get('is_split_into_words' ,				_SCREAMING_SNAKE_CASE	)

      assert self.add_prefix_space or not is_split_into_words, (
          F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
          "to use it with pretokenized inputs."
      )

      return super()._encode_plus(*_SCREAMING_SNAKE_CASE ,				**_SCREAMING_SNAKE_CASE	)







   def    _A				(	self ,				_SCREAMING_SNAKE_CASE ,				_SCREAMING_SNAKE_CASE = None	):


      '''simple docstring'''

      __lowerCamelCase    		=					self._tokenizer.model.save(_SCREAMING_SNAKE_CASE ,				name=_SCREAMING_SNAKE_CASE	)
      return tuple(_SCREAMING_SNAKE_CASE	)







   def    _A				(	self ,				_SCREAMING_SNAKE_CASE	):


      '''simple docstring'''

      __lowerCamelCase    		=					[]
      for is_user, text in conversation.iter_texts():
         input_ids.extend(self.encode(_SCREAMING_SNAKE_CASE ,				add_special_tokens=_SCREAMING_SNAKE_CASE	) + [self.eos_token_id]	)

      if len(_SCREAMING_SNAKE_CASE	) > self.model_max_length:
         __lowerCamelCase    		=					input_ids[-self.model_max_length :]
      return input_ids









'''simple docstring'''

from __future__ import annotations




def  UpperCamelCase(	UpperCAmelCase_    ,			UpperCAmelCase_    ,			UpperCAmelCase_      ):
 assert n > 1 and a > 0 and greatest_common_divisor(UpperCAmelCase_    ,			UpperCAmelCase_      ) == 1
 ((UpperCAmelCase)   ,					(UpperCAmelCase)   ,					(UpperCAmelCase))			:      Dict		   =					extended_gcd(UpperCAmelCase_    ,			UpperCAmelCase_      )  # Implemented below
 UpperCAmelCase			:      int		   =					(b * s) % n
 return x




def  UpperCamelCase(	UpperCAmelCase_    ,			UpperCAmelCase_      ):
 ((UpperCAmelCase)   ,					(UpperCAmelCase))			:      int		   =					extended_euclid(UpperCAmelCase_    ,			UpperCAmelCase_      )  # Implemented below
 if b < 0:
  UpperCAmelCase			:      Optional[int]		   =					(b % n + n) % n
 return b




def  UpperCamelCase(	UpperCAmelCase_    ,			UpperCAmelCase_    ,			UpperCAmelCase_      ):
 UpperCAmelCase			:      Tuple		   =					invert_modulo(UpperCAmelCase_    ,			UpperCAmelCase_      )
 UpperCAmelCase			:      List[Any]		   =					(b * s) % n
 return x




def  UpperCamelCase(	UpperCAmelCase_    ,			UpperCAmelCase_      ):
 assert a >= 0 and b >= 0

 if b == 0:
  UpperCAmelCase   ,					UpperCAmelCase   ,					UpperCAmelCase			:      Dict		   =					a, 1, 0
 else:
  ((UpperCAmelCase)   ,					(UpperCAmelCase)   ,					(UpperCAmelCase))			:      Optional[int]		   =					extended_gcd(UpperCAmelCase_    ,			a % b      )
  UpperCAmelCase			:      Dict		   =					q
  UpperCAmelCase			:      int		   =					p - q * (a // b)

 assert a % d == 0 and b % d == 0
 assert d == a * x + b * y

 return (d, x, y)




def  UpperCamelCase(	UpperCAmelCase_    ,			UpperCAmelCase_      ):
 if b == 0:
  return (1, 0)
 ((UpperCAmelCase)   ,					(UpperCAmelCase))			:      Tuple		   =					extended_euclid(UpperCAmelCase_    ,			a % b      )
 UpperCAmelCase			:      Tuple		   =					a // b
 return (y, x - k * y)




def  UpperCamelCase(	UpperCAmelCase_    ,			UpperCAmelCase_      ):
 if a < b:
  UpperCAmelCase   ,					UpperCAmelCase			:      Union[str, Any]		   =					b, a

 while a % b != 0:
  UpperCAmelCase   ,					UpperCAmelCase			:      int		   =					b, a % b

 return b


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

 testmod(name="modular_division", verbose=True)
 testmod(name="modular_division2", verbose=True)
 testmod(name="invert_modulo", verbose=True)
 testmod(name="extended_gcd", verbose=True)
 testmod(name="extended_euclid", verbose=True)
 testmod(name="greatest_common_divisor", verbose=True)




