'''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


snake_case__	:     List[Any]      =    logging.get_logger(__name__)

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

snake_case__	:     List[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'''
        ),
    },
}

snake_case__	:     Optional[Any]      =    {
    '''microsoft/deberta-base''': 512,
    '''microsoft/deberta-large''': 512,
    '''microsoft/deberta-xlarge''': 512,
    '''microsoft/deberta-base-mnli''': 512,
    '''microsoft/deberta-large-mnli''': 512,
    '''microsoft/deberta-xlarge-mnli''': 512,
}

snake_case__	:     Any      =    {
    '''microsoft/deberta-base''': {'''do_lower_case''': False},
    '''microsoft/deberta-large''': {'''do_lower_case''': False},
}






class 	__SCREAMING_SNAKE_CASE		(			lowerCamelCase_			):







  '''simple docstring'''






  lowerCamelCase_						:Union[str, Any]		       =						VOCAB_FILES_NAMES
  lowerCamelCase_						:str		       =						PRETRAINED_VOCAB_FILES_MAP
  lowerCamelCase_						:List[str]		       =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowerCamelCase_						:Union[str, Any]		       =						['''input_ids''', '''attention_mask''', '''token_type_ids''']
  lowerCamelCase_						:Dict		       =						DebertaTokenizer


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




       '''simple docstring'''

       super().__init__(
           snake_case_ ,						snake_case_ ,						tokenizer_file=snake_case_ ,						errors=snake_case_ ,						bos_token=snake_case_ ,						eos_token=snake_case_ ,						unk_token=snake_case_ ,						sep_token=snake_case_ ,						cls_token=snake_case_ ,						pad_token=snake_case_ ,						mask_token=snake_case_ ,						add_prefix_space=snake_case_ ,						**snake_case_ ,						)
       UpperCAmelCase_				:  Optional[Any]  = kwargs.pop('add_bos_token' ,						snake_case_		)

       UpperCAmelCase_				:  Optional[int]  = json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()		)
       if pre_tok_state.get('add_prefix_space' ,						snake_case_		) != add_prefix_space:
            UpperCAmelCase_				:  List[Any]  = getattr(snake_case_ ,						pre_tok_state.pop('type'		)		)
            UpperCAmelCase_				:  Any  = add_prefix_space
            UpperCAmelCase_				:  Union[str, Any]  = pre_tok_class(**snake_case_		)

       UpperCAmelCase_				:  List[str]  = add_prefix_space


  @property
  def _UpperCamelCase	(					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 _UpperCamelCase	(					self ,						snake_case_		):




       '''simple docstring'''

       UpperCAmelCase_				:  Union[str, Any]  = AddedToken(snake_case_ ,						lstrip=snake_case_ ,						rstrip=snake_case_		) if isinstance(snake_case_ ,						snake_case_		) else value
       UpperCAmelCase_				:  Tuple  = value


  def _UpperCamelCase	(					self ,						snake_case_ ,						snake_case_ = None		):




       '''simple docstring'''

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


  def _UpperCamelCase	(					self ,						snake_case_ ,						snake_case_ = None		):




       '''simple docstring'''

       UpperCAmelCase_				:  List[Any]  = [self.sep_token_id]
       UpperCAmelCase_				:  str  = [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 ,						*snake_case_ ,						**snake_case_		):




       '''simple docstring'''

       UpperCAmelCase_				:  List[Any]  = kwargs.get('is_split_into_words' ,						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(*snake_case_ ,						**snake_case_		)


  def _UpperCamelCase	(					self ,						*snake_case_ ,						**snake_case_		):




       '''simple docstring'''

       UpperCAmelCase_				:  List[Any]  = kwargs.get('is_split_into_words' ,						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(*snake_case_ ,						**snake_case_		)


  def _UpperCamelCase	(					self ,						snake_case_ ,						snake_case_ = None		):




       '''simple docstring'''

       UpperCAmelCase_				:  str  = self._tokenizer.model.save(snake_case_ ,						name=snake_case_		)
       return tuple(snake_case_		)






  def _UpperCamelCase	(					self ,						snake_case_		):




       '''simple docstring'''

       UpperCAmelCase_				:  List[str]  = []
       for is_user, text in conversation.iter_texts():
            input_ids.extend(self.encode(snake_case_ ,						add_special_tokens=snake_case_		) + [self.eos_token_id]		)

       if len(snake_case_		) > self.model_max_length:
            UpperCAmelCase_				:  int  = input_ids[-self.model_max_length :]
       return input_ids







'''simple docstring'''


from itertools import combinations, product


def    _lowerCamelCase       ( lowerCamelCase_   :				int      ,	lowerCamelCase_   :				int      ,	lowerCamelCase_   :				int      ,	lowerCamelCase_   :				int  ):



     """simple docstring"""





     if xa == ya == 0 or xa == ya == 0:
          return False
     UpperCAmelCase_				:  Union[str, Any]  = xa * xa + ya * ya
     UpperCAmelCase_				:  str  = xa * xa + ya * ya
     UpperCAmelCase_				:  str  = (xa - xa) * (xa - xa) + (ya - ya) * (ya - ya)
     return (
         a_square + b_square == c_square
         or a_square + c_square == b_square
         or b_square + c_square == a_square
     )


def    _lowerCamelCase       ( lowerCamelCase_   :				int = 50  ):



     """simple docstring"""





     return sum(
         1
         for pta, pta in combinations(product(range(limit + 1  )      ,	repeat=2  )      ,	2  )
         if is_right(*lowerCamelCase_      ,	*lowerCamelCase_  )  )


if __name__ == "__main__":
 print(f'''{solution() = }''')






