code: 
  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			:       Optional[int]      =						logging.get_logger(__name__)
  
  _snake_case			:       str      =						{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}
  
  _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"
          ),
      },
  }
  
  _snake_case			:       Union[str, Any]      =						{
      "microsoft/deberta-base": 5_12,
      "microsoft/deberta-large": 5_12,
      "microsoft/deberta-xlarge": 5_12,
      "microsoft/deberta-base-mnli": 5_12,
      "microsoft/deberta-large-mnli": 5_12,
      "microsoft/deberta-xlarge-mnli": 5_12,
  }
  
  _snake_case			:       str      =						{
      "microsoft/deberta-base": {"do_lower_case": False},
      "microsoft/deberta-large": {"do_lower_case": False},
  }
  
  
  
  
  
  class      UpperCamelCase_			(			__a		):
  
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCamelCase			:     Optional[int]							      =				VOCAB_FILES_NAMES
  						UpperCamelCase			:     int							      =				PRETRAINED_VOCAB_FILES_MAP
  						UpperCamelCase			:     Dict							      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  						UpperCamelCase			:     Union[str, Any]							      =				['''input_ids''', '''attention_mask''', '''token_type_ids''']
  						UpperCamelCase			:     Dict							      =				DebertaTokenizer
  
  
  
  
  
  						def __init__( self       :Any		,						lowerCAmelCase__       :Optional[Any]=None		,						lowerCAmelCase__       :str=None		,						lowerCAmelCase__       :List[str]=None		,						lowerCAmelCase__       :str="replace"		,						lowerCAmelCase__       :Any="[CLS]"		,						lowerCAmelCase__       :Union[str, Any]="[SEP]"		,						lowerCAmelCase__       :Optional[Any]="[SEP]"		,						lowerCAmelCase__       :Dict="[CLS]"		,						lowerCAmelCase__       :Any="[UNK]"		,						lowerCAmelCase__       :List[str]="[PAD]"		,						lowerCAmelCase__       :List[Any]="[MASK]"		,						lowerCAmelCase__       :Union[str, Any]=False		,						**lowerCAmelCase__       :Optional[Any]		,						)     ->Any:
  										super().__init__(
  										    lowerCAmelCase__		,						lowerCAmelCase__		,						tokenizer_file=lowerCAmelCase__		,						errors=lowerCAmelCase__		,						bos_token=lowerCAmelCase__		,						eos_token=lowerCAmelCase__		,						unk_token=lowerCAmelCase__		,						sep_token=lowerCAmelCase__		,						cls_token=lowerCAmelCase__		,						pad_token=lowerCAmelCase__		,						mask_token=lowerCAmelCase__		,						add_prefix_space=lowerCAmelCase__		,						**lowerCAmelCase__		,						)
  										lowercase						    =			kwargs.pop("add_bos_token"		,						lowerCAmelCase__    )
  
  										lowercase						    =			json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
  										if pre_tok_state.get("add_prefix_space"		,						lowerCAmelCase__    ) != add_prefix_space:
  														lowercase						    =			getattr(lowerCAmelCase__		,						pre_tok_state.pop("type"    )    )
  														lowercase						    =			add_prefix_space
  														lowercase						    =			pre_tok_class(**lowerCAmelCase__    )
  
  										lowercase						    =			add_prefix_space
  
  
  
  
  
  						@property
  						def 					SCREAMING_SNAKE_CASE( self       :Optional[int]    )     ->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 					SCREAMING_SNAKE_CASE( self       :Dict		,						lowerCAmelCase__       :str    )     ->List[str]:
  										lowercase						    =			AddedToken(lowerCAmelCase__		,						lstrip=lowerCAmelCase__		,						rstrip=lowerCAmelCase__    ) if isinstance(lowerCAmelCase__		,						lowerCAmelCase__    ) else value
  										lowercase						    =			value
  
  
  
  
  
  						def 					SCREAMING_SNAKE_CASE( self       :Dict		,						lowerCAmelCase__       :List[int]		,						lowerCAmelCase__       :Optional[List[int]] = None    )     ->List[int]:
  										if token_ids_a is None:
  														return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  										lowercase						    =			[self.cls_token_id]
  										lowercase						    =			[self.sep_token_id]
  										return cls + token_ids_a + sep + token_ids_a + sep
  
  
  
  
  
  						def 					SCREAMING_SNAKE_CASE( self       :Dict		,						lowerCAmelCase__       :List[int]		,						lowerCAmelCase__       :Optional[List[int]] = None    )     ->List[int]:
  										lowercase						    =			[self.sep_token_id]
  										lowercase						    =			[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 					SCREAMING_SNAKE_CASE( self       :int		,						*lowerCAmelCase__       :Optional[Any]		,						**lowerCAmelCase__       :Union[str, Any]    )     ->BatchEncoding:
  										lowercase						    =			kwargs.get("is_split_into_words"		,						lowerCAmelCase__    )
  										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(*lowerCAmelCase__		,						**lowerCAmelCase__    )
  
  
  
  
  
  						def 					SCREAMING_SNAKE_CASE( self       :List[Any]		,						*lowerCAmelCase__       :int		,						**lowerCAmelCase__       :Optional[Any]    )     ->BatchEncoding:
  										lowercase						    =			kwargs.get("is_split_into_words"		,						lowerCAmelCase__    )
  
  										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(*lowerCAmelCase__		,						**lowerCAmelCase__    )
  
  
  
  
  
  						def 					SCREAMING_SNAKE_CASE( self       :str		,						lowerCAmelCase__       :str		,						lowerCAmelCase__       :Optional[str] = None    )     ->Tuple[str]:
  										lowercase						    =			self._tokenizer.model.save(lowerCAmelCase__		,						name=lowerCAmelCase__    )
  										return tuple(lowerCAmelCase__    )
  
  
  
  
  
  						def 					SCREAMING_SNAKE_CASE( self       :str		,						lowerCAmelCase__       :"Conversation"    )     ->List[int]:
  										lowercase						    =			[]
  										for is_user, text in conversation.iter_texts():
  														input_ids.extend(self.encode(lowerCAmelCase__		,						add_special_tokens=lowerCAmelCase__    ) + [self.eos_token_id]    )
  
  										if len(lowerCAmelCase__    ) > self.model_max_length:
  														lowercase						    =			input_ids[-self.model_max_length :]
  										return input_ids
  
style_context: 
  from transformers import PretrainedConfig
  
  
  
  
  
  class      UpperCamelCase_			(			__a		):
  
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCamelCase			:     List[str]							      =				'''custom'''
  
  
  
  
  
  						def __init__( self       :Tuple		,						lowerCAmelCase__       :int=1		,						**lowerCAmelCase__       :List[Any]    )     ->int:
  										lowercase						    =			attribute
  										super().__init__(**lowerCAmelCase__    )
  
  
  
  
  
  class      UpperCamelCase_			(			__a		):
  
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						UpperCamelCase			:     Union[str, Any]							      =				'''custom'''
  
  
  
  
  
  						def __init__( self       :Union[str, Any]		,						lowerCAmelCase__       :Dict=1		,						**lowerCAmelCase__       :Dict    )     ->List[str]:
  										lowercase						    =			attribute
  