


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


a	: List[str]      =				logging.get_logger(__name__)

a	: Any      =				{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

a	: Optional[int]      =				{
    "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"
        ),
    },
}

a	: Optional[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,
}

a	: Optional[Any]      =				{
    "microsoft/deberta-base": {"do_lower_case": False},
    "microsoft/deberta-large": {"do_lower_case": False},
}
class 					a					(				lowercase__     ):



      """simple docstring"""


      a						:				Tuple							 =			VOCAB_FILES_NAMES
      a						:				List[Any]							 =			PRETRAINED_VOCAB_FILES_MAP
      a						:				int							 =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a						:				Optional[int]							 =			['input_ids', 'attention_mask', 'token_type_ids']
      a						:				Any							 =			DebertaTokenizer
      def __init__(   self      :    Dict	,   __lowercase      :    Dict=None	,   __lowercase      :    List[str]=None	,   __lowercase      :    Optional[int]=None	,   __lowercase      :    int="replace"	,   __lowercase      :    Optional[Any]="[CLS]"	,   __lowercase      :    Dict="[SEP]"	,   __lowercase      :    Dict="[SEP]"	,   __lowercase      :    Any="[CLS]"	,   __lowercase      :    Dict="[UNK]"	,   __lowercase      :    Union[str, Any]="[PAD]"	,   __lowercase      :    Optional[int]="[MASK]"	,   __lowercase      :    List[Any]=False	,   **__lowercase      :    str	,   )							->   List[Any]:
        super().__init__(
            __lowercase	,   __lowercase	,   tokenizer_file=__lowercase	,   errors=__lowercase	,   bos_token=__lowercase	,   eos_token=__lowercase	,   unk_token=__lowercase	,   sep_token=__lowercase	,   cls_token=__lowercase	,   pad_token=__lowercase	,   mask_token=__lowercase	,   add_prefix_space=__lowercase	,   **__lowercase	,   )
        __UpperCAmelCase							:			Tuple     =						kwargs.pop("""add_bos_token"""	,   __lowercase      )

        __UpperCAmelCase							:			Dict     =						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()      )
        if pre_tok_state.get("""add_prefix_space"""	,   __lowercase      ) != add_prefix_space:
          __UpperCAmelCase							:			str     =						getattr(__lowercase	,   pre_tok_state.pop("""type"""      )      )
          __UpperCAmelCase							:			Dict     =						add_prefix_space
          __UpperCAmelCase							:			str     =						pre_tok_class(**__lowercase      )

        __UpperCAmelCase							:			Optional[Any]     =						add_prefix_space
      @property
      def 			UpperCAmelCase   (   self      :    str      )							->   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      :    Union[str, Any]	,   __lowercase      :    List[str]      )							->   int:
        __UpperCAmelCase							:			List[Any]     =						AddedToken(__lowercase	,   lstrip=__lowercase	,   rstrip=__lowercase      ) if isinstance(__lowercase	,   __lowercase      ) else value
        __UpperCAmelCase							:			List[Any]     =						value
      def 			UpperCAmelCase   (   self      :    Any	,   __lowercase      :    List[int]	,   __lowercase      :    Optional[List[int]] = None      )							->   List[int]:
        if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        __UpperCAmelCase							:			List[Any]     =						[self.cls_token_id]
        __UpperCAmelCase							:			Optional[Any]     =						[self.sep_token_id]
        return cls + token_ids_a + sep + token_ids_a + sep
      def 			UpperCAmelCase   (   self      :    Tuple	,   __lowercase      :    List[int]	,   __lowercase      :    Optional[List[int]] = None      )							->   List[int]:
        __UpperCAmelCase							:			int     =						[self.sep_token_id]
        __UpperCAmelCase							:			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      :    Dict	,   *__lowercase      :    Union[str, Any]	,   **__lowercase      :    List[str]      )							->   BatchEncoding:
        __UpperCAmelCase							:			Tuple     =						kwargs.get("""is_split_into_words"""	,   __lowercase      )
        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(*__lowercase	,   **__lowercase      )
      def 			UpperCAmelCase   (   self      :    Dict	,   *__lowercase      :    str	,   **__lowercase      :    Optional[int]      )							->   BatchEncoding:
        __UpperCAmelCase							:			int     =						kwargs.get("""is_split_into_words"""	,   __lowercase      )

        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(*__lowercase	,   **__lowercase      )
      def 			UpperCAmelCase   (   self      :    Optional[int]	,   __lowercase      :    str	,   __lowercase      :    Optional[str] = None      )							->   Tuple[str]:
        __UpperCAmelCase							:			Union[str, Any]     =						self._tokenizer.model.save(__lowercase	,   name=__lowercase      )
        return tuple(__lowercase      )




      def 			UpperCAmelCase   (   self      :    Optional[int]	,   __lowercase      :    "Conversation"      )							->   List[int]:
        __UpperCAmelCase							:			List[Any]     =						[]
        for is_user, text in conversation.iter_texts():
          input_ids.extend(self.encode(__lowercase	,   add_special_tokens=__lowercase      ) + [self.eos_token_id]      )

        if len(__lowercase      ) > self.model_max_length:
          __UpperCAmelCase							:			Union[str, Any]     =						input_ids[-self.model_max_length :]
        return input_ids










import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


a	: Any      =				set()
a	: List[Any]      =				get_logger(__name__)






def        lowerCamelCase__   (					__lowerCamelCase    :  Optional[str] = None	):

  def decorator(__lowerCamelCase    :  Callable	):
    global _emitted_deprecation_warnings

    if inspect.isclass(__lowerCamelCase	):
      __UpperCAmelCase							:			Optional[Any]     =						deprecated_class_or_function.__init__
      __UpperCAmelCase							:			int     =						deprecated_class_or_function.__name__
    else:
      __UpperCAmelCase							:			Any     =						deprecated_class_or_function
      __UpperCAmelCase							:			Any     =						deprecated_function.__name__
      # Support deprecating __init__ class method: class name instead
      __UpperCAmelCase							:			List[str]     =						name if name != """__init__""" else deprecated_function.__qualname__.split("""."""	)[-2]

    __UpperCAmelCase							:			Union[str, Any]     =						(
        f"""{name} is deprecated and will be removed in the next major version of datasets.""" + f""" {help_message}"""
        if help_message
        else """"""
    )

    @wraps(__lowerCamelCase	)
    def wrapper(*__lowerCamelCase    :  List[str]						,	**__lowerCamelCase    :  Tuple	):
      __UpperCAmelCase							:			Optional[Any]     =						hash(__lowerCamelCase	)
      if func_hash not in _emitted_deprecation_warnings:
        warnings.warn(__lowerCamelCase						,	category=__lowerCamelCase						,	stacklevel=2	)
        _emitted_deprecation_warnings.add(__lowerCamelCase	)
      return deprecated_function(*__lowerCamelCase						,	**__lowerCamelCase	)

    __UpperCAmelCase							:			List[str]     =						"""deprecated"""

    if inspect.isclass(__lowerCamelCase	):
      __UpperCAmelCase							:			int     =						wrapper
      return deprecated_class_or_function
    else:
      return wrapper

  return decorator
class 					a					(				enum.EnumMeta     ):



      """simple docstring"""


      def __getattribute__(   cls      :    Optional[int]	,   __lowercase      :    List[Any]      )							->   str:
        __UpperCAmelCase							:			List[Any]     =						super().__getattribute__(__lowercase      )
        if isinstance(__lowercase	,   enum.Enum      ) and obj._on_access:
          obj._on_access()
        return obj
      def __getitem__(   cls      :    Union[str, Any]	,   __lowercase      :    Optional[int]      )							->   Optional[int]:
        __UpperCAmelCase							:			Union[str, Any]     =						super().__getitem__(__lowercase      )
        if member._on_access:
          member._on_access()
        return member




      def __call__(   cls      :    List[str]	,   __lowercase      :    Dict	,   __lowercase      :    List[Any]=None	,   *, __lowercase      :    Dict=None	,   __lowercase      :    Any=None	,   __lowercase      :    Optional[Any]=None	,   __lowercase      :    Dict=1      )							->   List[Any]:
        __UpperCAmelCase							:			Union[str, Any]     =						super().__call__(__lowercase	,   __lowercase	,   module=__lowercase	,   qualname=__lowercase	,   type=__lowercase	,   start=__lowercase      )
        if isinstance(__lowercase	,   enum.Enum      ) and obj._on_access:
          obj._on_access()
        return obj


class 					a					(				enum.Enum							, metaclass=lowercase__     ):



      """simple docstring"""


      def __new__(   cls      :    Dict	,   __lowercase      :    Tuple      )							->   Optional[Any]:
        __UpperCAmelCase							:			List[Any]     =						object.__new__(cls      )
        __UpperCAmelCase							:			Any     =						value
        __UpperCAmelCase							:			int     =						member.deprecate
        return member
      @property
      def 			UpperCAmelCase   (   self      :    Optional[Any]      )							->   Dict:
        return ""




      def 			UpperCAmelCase   (   self      :    str      )							->   Dict:
        __UpperCAmelCase							:			Optional[int]     =						f""" {self.help_message}""" if self.help_message else """"""
        warnings.warn(
            f"""'{self.__objclass__.__name__}' is deprecated and will be removed in the next major version of datasets."""
            + help_message	,   __lowercase	,   stacklevel=3	,   )


