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


UpperCamelCase    				=		logging.get_logger(__name__)

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

UpperCamelCase    				=		{
    '''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'''
        ),
    },
}

UpperCamelCase    				=		{
    '''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,
}

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



class     snake_case_			(						lowerCAmelCase_			):
   __A      :						List[str]   =							VOCAB_FILES_NAMES
   __A      :						List[Any]   =							PRETRAINED_VOCAB_FILES_MAP
   __A      :						Union[str, Any]   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __A      :						Union[str, Any]   =							['''input_ids''', '''attention_mask''', '''token_type_ids''']
   __A      :						Optional[int]   =							DebertaTokenizer






   def __init__( self							:	Union[str, Any]      ,		lowercase_							:	List[Any]=None      ,		lowercase_							:	Tuple=None      ,		lowercase_							:	Optional[int]=None      ,		lowercase_							:	Optional[int]="replace"      ,		lowercase_							:	Tuple="[CLS]"      ,		lowercase_							:	int="[SEP]"      ,		lowercase_							:	Optional[Any]="[SEP]"      ,		lowercase_							:	List[Any]="[CLS]"      ,		lowercase_							:	Optional[Any]="[UNK]"      ,		lowercase_							:	Any="[PAD]"      ,		lowercase_							:	Dict="[MASK]"      ,		lowercase_							:	Dict=False      ,		**lowercase_							:	Any      ,		)   ->		Any:
       super().__init__(
           UpperCamelCase_      ,		UpperCamelCase_      ,		tokenizer_file=UpperCamelCase_      ,		errors=UpperCamelCase_      ,		bos_token=UpperCamelCase_      ,		eos_token=UpperCamelCase_      ,		unk_token=UpperCamelCase_      ,		sep_token=UpperCamelCase_      ,		cls_token=UpperCamelCase_      ,		pad_token=UpperCamelCase_      ,		mask_token=UpperCamelCase_      ,		add_prefix_space=UpperCamelCase_      ,		**UpperCamelCase_      ,		)
       lowercase__					:  int          =							kwargs.pop("add_bos_token"      ,		UpperCamelCase_    )

       lowercase__					:  Union[str, Any]          =							json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
       if pre_tok_state.get("add_prefix_space"      ,		UpperCamelCase_    ) != add_prefix_space:
           lowercase__					:  str          =							getattr(UpperCamelCase_      ,		pre_tok_state.pop("type"    )    )
           lowercase__					:  Tuple          =							add_prefix_space
           lowercase__					:  List[Any]          =							pre_tok_class(**UpperCamelCase_    )

       lowercase__					:  List[Any]          =							add_prefix_space






   @property
   def  __UpperCamelCase	( self							:	Any    )   ->		List[str]:
       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							:	int      ,		lowercase_							:	str    )   ->		Optional[Any]:
       lowercase__					:  str          =							AddedToken(UpperCamelCase_      ,		lstrip=UpperCamelCase_      ,		rstrip=UpperCamelCase_    ) if isinstance(UpperCamelCase_      ,		UpperCamelCase_    ) else value
       lowercase__					:  int          =							value






   def  __UpperCamelCase	( self							:	Any      ,		lowercase_							:	List[int]      ,		lowercase_							:	Optional[List[int]] = None    )   ->		Tuple:
       if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       lowercase__					:  int          =							[self.cls_token_id]
       lowercase__					:  Union[str, Any]          =							[self.sep_token_id]
       return cls + token_ids_a + sep + token_ids_a + sep






   def  __UpperCamelCase	( self							:	int      ,		lowercase_							:	List[int]      ,		lowercase_							:	Optional[List[int]] = None    )   ->		Any:
       lowercase__					:  str          =							[self.sep_token_id]
       lowercase__					:  Union[str, Any]          =							[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							:	Optional[int]      ,		*lowercase_							:	Any      ,		**lowercase_							:	List[Any]    )   ->		Optional[Any]:
       lowercase__					:  Dict          =							kwargs.get("is_split_into_words"      ,		UpperCamelCase_    )
       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(*UpperCamelCase_      ,		**UpperCamelCase_    )






   def  __UpperCamelCase	( self							:	Union[str, Any]      ,		*lowercase_							:	List[str]      ,		**lowercase_							:	Dict    )   ->		Optional[Any]:
       lowercase__					:  Tuple          =							kwargs.get("is_split_into_words"      ,		UpperCamelCase_    )

       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(*UpperCamelCase_      ,		**UpperCamelCase_    )






   def  __UpperCamelCase	( self							:	Optional[int]      ,		lowercase_							:	str      ,		lowercase_							:	Optional[str] = None    )   ->		Union[str, Any]:
       lowercase__					:  int          =							self._tokenizer.model.save(UpperCamelCase_      ,		name=UpperCamelCase_    )
       return tuple(UpperCamelCase_    )







   def  __UpperCamelCase	( self							:	int      ,		lowercase_							:	"Conversation"    )   ->		Union[str, Any]:
       lowercase__					:  Dict          =							[]
       for is_user, text in conversation.iter_texts():
           input_ids.extend(self.encode(UpperCamelCase_      ,		add_special_tokens=UpperCamelCase_    ) + [self.eos_token_id]    )

       if len(UpperCamelCase_    ) > self.model_max_length:
           lowercase__					:  List[str]          =							input_ids[-self.model_max_length :]
       return input_ids





'''simple docstring'''






from __future__ import annotations







def 		SCREAMING_SNAKE_CASE__					(							_SCREAMING_SNAKE_CASE  ,					_SCREAMING_SNAKE_CASE  ,					_SCREAMING_SNAKE_CASE  ):
		if len(_SCREAMING_SNAKE_CASE  ) == 0:
				raise ValueError('''find_min() arg is an empty sequence'''  )
		if (
		    left >= len(_SCREAMING_SNAKE_CASE  )
		    or left < -len(_SCREAMING_SNAKE_CASE  )
		    or right >= len(_SCREAMING_SNAKE_CASE  )
		    or right < -len(_SCREAMING_SNAKE_CASE  )
		):
				raise IndexError('''list index out of range'''  )
		if left == right:
				return nums[left]
		lowerCAmelCase_   :       Dict    							=(left + right) >> 1  # the middle
		lowerCAmelCase_   :       Optional[int]    							=find_min(_SCREAMING_SNAKE_CASE  ,					_SCREAMING_SNAKE_CASE  ,					_SCREAMING_SNAKE_CASE  )  # find min in range[left, mid]
		lowerCAmelCase_   :       Any    							=find_min(_SCREAMING_SNAKE_CASE  ,					mid + 1  ,					_SCREAMING_SNAKE_CASE  )  # find min in range[mid + 1, right]

		return left_min if left_min <= right_min else right_min


if __name__ == "__main__":
							import doctest

							doctest.testmod(verbose=True)






