
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


lowerCamelCase_				:							Tuple       =    logging.get_logger(__name__)

lowerCamelCase_				:							str       =    {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

lowerCamelCase_				:							Union[str, Any]       =    {
    """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"""
        ),
    },
}

lowerCamelCase_				:							str       =    {
    """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,
}

lowerCamelCase_				:							Union[str, Any]       =    {
    """microsoft/deberta-base""": {"""do_lower_case""": False},
    """microsoft/deberta-large""": {"""do_lower_case""": False},
}







class  _lowerCamelCase			(_a					):
     lowercase__				  =			VOCAB_FILES_NAMES
     lowercase__				  =			PRETRAINED_VOCAB_FILES_MAP
     lowercase__				  =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowercase__				  =			["""input_ids""", """attention_mask""", """token_type_ids"""]
     lowercase__				  =			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_							,       ):
            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_							,       )
            __snake_case						       =   kwargs.pop('add_bos_token'							,       SCREAMING_SNAKE_CASE_    )

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

            __snake_case						       =   add_prefix_space

     @property
     def 						__lowerCamelCase				(  self    ):
            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 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_    ):
            __snake_case						       =   AddedToken(SCREAMING_SNAKE_CASE_							,       lstrip=SCREAMING_SNAKE_CASE_							,       rstrip=SCREAMING_SNAKE_CASE_    ) if isinstance(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_    ) else value
            __snake_case						       =   value

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_ = None    ):
            if token_ids_a is None:
                   return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
            __snake_case						       =   [self.cls_token_id]
            __snake_case						       =   [self.sep_token_id]
            return cls + token_ids_a + sep + token_ids_a + sep

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_ = None    ):
            __snake_case						       =   [self.sep_token_id]
            __snake_case						       =   [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 						__lowerCamelCase				(  self							,       *SCREAMING_SNAKE_CASE_							,       **SCREAMING_SNAKE_CASE_    ):
            __snake_case						       =   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 						__lowerCamelCase				(  self							,       *SCREAMING_SNAKE_CASE_							,       **SCREAMING_SNAKE_CASE_    ):
            __snake_case						       =   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 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_ = None    ):
            __snake_case						       =   self._tokenizer.model.save(SCREAMING_SNAKE_CASE_							,       name=SCREAMING_SNAKE_CASE_    )
            return tuple(SCREAMING_SNAKE_CASE_    )

     def 						__lowerCamelCase				(  self							,       SCREAMING_SNAKE_CASE_    ):
            __snake_case						       =   []
            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:
                   __snake_case						       =   input_ids[-self.model_max_length :]
            return input_ids







from __future__ import annotations
def  __UpperCamelCase    (						snake_case      )    ->		bool:


   '''simple docstring'''







   __A    =  42
   __A    =  list(snake_case      )
   __A   ,		__A    =  _vector[:-1], int(_vector[-1]      )
   __A    =  [int(snake_case      ) for digit in __vector]

   vector.reverse()
   for i, digit in enumerate(snake_case      ):
      if i & 1 == 0:
         __A    =  digit * 2
         if doubled > 9:
            doubled -= 9
         check_digit += doubled
      else:
         check_digit += digit

   return check_digit % 1_0 == 0


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    assert is_luhn("""79927398713""")
    assert not is_luhn("""79927398714""")

