
"""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": 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,
}

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




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






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






												"""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    ,			)
												__a:    int		     =       kwargs.pop("""add_bos_token"""    ,			__UpperCamelCase     )

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

												__a:    Tuple		     =       add_prefix_space






							@property
							def 				__lowercase	(       self    :      Optional[int]     ):






												"""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 				__lowercase	(       self    :      Union[str, Any]    ,			snake_case__    :      Optional[Any]     ):






												"""simple docstring"""



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






							def 				__lowercase	(       self    :      Dict    ,			snake_case__    :      List[int]    ,			snake_case__    :      Optional[List[int]] = None     ):






												"""simple docstring"""



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






							def 				__lowercase	(       self    :      Union[str, Any]    ,			snake_case__    :      List[int]    ,			snake_case__    :      Optional[List[int]] = None     ):






												"""simple docstring"""



												__a:    str		     =       [self.sep_token_id]
												__a:    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 				__lowercase	(       self    :      Union[str, Any]    ,			*snake_case__    :      List[str]    ,			**snake_case__    :      List[str]     ):






												"""simple docstring"""



												__a:    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 				__lowercase	(       self    :      int    ,			*snake_case__    :      List[Any]    ,			**snake_case__    :      str     ):






												"""simple docstring"""



												__a:    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 				__lowercase	(       self    :      List[Any]    ,			snake_case__    :      str    ,			snake_case__    :      Optional[str] = None     ):






												"""simple docstring"""



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






							def 				__lowercase	(       self    :      int    ,			snake_case__    :      "Conversation"     ):






												"""simple docstring"""



												__a:    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:
																	__a:    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__)




