



'''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


_lowercase       :						Any						=logging.get_logger(__name__)

_lowercase       :						Optional[Any]						={"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

_lowercase       :						List[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"
        ),
    },
}

_lowercase       :						Union[str, 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,
}

_lowercase       :						str						={
    "microsoft/deberta-base": {"do_lower_case": False},
    "microsoft/deberta-large": {"do_lower_case": False},
}






class 			_SCREAMING_SNAKE_CASE				(lowercase__      ):
			A__								=  VOCAB_FILES_NAMES
			A__								=  PRETRAINED_VOCAB_FILES_MAP
			A__								=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			A__								=  ['input_ids', 'attention_mask', 'token_type_ids']
			A__								=  DebertaTokenizer



			def __init__(     self		:						List[str]    ,			__UpperCamelCase		:						Union[str, Any]=None    ,			__UpperCamelCase		:						Any=None    ,			__UpperCamelCase		:						Any=None    ,			__UpperCamelCase		:						Optional[Any]="replace"    ,			__UpperCamelCase		:						Dict="[CLS]"    ,			__UpperCamelCase		:						Tuple="[SEP]"    ,			__UpperCamelCase		:						Union[str, Any]="[SEP]"    ,			__UpperCamelCase		:						int="[CLS]"    ,			__UpperCamelCase		:						Any="[UNK]"    ,			__UpperCamelCase		:						List[str]="[PAD]"    ,			__UpperCamelCase		:						Tuple="[MASK]"    ,			__UpperCamelCase		:						int=False    ,			**__UpperCamelCase		:						List[str]    ,			)      ->      Optional[Any]:
							"""simple docstring"""





							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    ,			)
							snake_case__      :   int      =    kwargs.pop('''add_bos_token'''    ,			__UpperCamelCase			)

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

							snake_case__      :   Tuple      =    add_prefix_space



			@property
			def 				lowerCAmelCase (     self		:						Optional[int]			)      ->      str:
							"""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 				lowerCAmelCase (     self		:						Union[str, Any]    ,			__UpperCamelCase		:						Optional[Any]			)      ->      Any:
							"""simple docstring"""





							snake_case__      :   int      =    AddedToken(__UpperCamelCase    ,			lstrip=__UpperCamelCase    ,			rstrip=__UpperCamelCase			) if isinstance(__UpperCamelCase    ,			__UpperCamelCase			) else value
							snake_case__      :   str      =    value



			def 				lowerCAmelCase (     self		:						Dict    ,			__UpperCamelCase		:						List[int]    ,			__UpperCamelCase		:						Optional[List[int]] = None			)      ->      List[int]:
							"""simple docstring"""





							if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							snake_case__      :   Union[str, Any]      =    [self.cls_token_id]
							snake_case__      :   Optional[int]      =    [self.sep_token_id]
							return cls + token_ids_a + sep + token_ids_a + sep



			def 				lowerCAmelCase (     self		:						Union[str, Any]    ,			__UpperCamelCase		:						List[int]    ,			__UpperCamelCase		:						Optional[List[int]] = None			)      ->      List[int]:
							"""simple docstring"""





							snake_case__      :   str      =    [self.sep_token_id]
							snake_case__      :   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 				lowerCAmelCase (     self		:						Union[str, Any]    ,			*__UpperCamelCase		:						List[str]    ,			**__UpperCamelCase		:						List[str]			)      ->      BatchEncoding:
							"""simple docstring"""





							snake_case__      :   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()._batch_encode_plus(*__UpperCamelCase    ,			**__UpperCamelCase			)



			def 				lowerCAmelCase (     self		:						int    ,			*__UpperCamelCase		:						List[Any]    ,			**__UpperCamelCase		:						str			)      ->      BatchEncoding:
							"""simple docstring"""





							snake_case__      :   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()._encode_plus(*__UpperCamelCase    ,			**__UpperCamelCase			)



			def 				lowerCAmelCase (     self		:						List[Any]    ,			__UpperCamelCase		:						str    ,			__UpperCamelCase		:						Optional[str] = None			)      ->      Tuple[str]:
							"""simple docstring"""





							snake_case__      :   Tuple      =    self._tokenizer.model.save(__UpperCamelCase    ,			name=__UpperCamelCase			)
							return tuple(__UpperCamelCase			)







			def 				lowerCAmelCase (     self		:						int    ,			__UpperCamelCase		:						"Conversation"			)      ->      List[int]:
							"""simple docstring"""





							snake_case__      :   str      =    []
							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:
											snake_case__      :   Any      =    input_ids[-self.model_max_length :]
							return input_ids









'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import _LazyModule


_lowercase       :						List[str]						={"tokenization_bert_japanese": ["BertJapaneseTokenizer", "CharacterTokenizer", "MecabTokenizer"]}


if TYPE_CHECKING:
				from .tokenization_bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer

else:
				import sys

				_lowercase       :						Dict						=_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




