





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       :				Tuple           =			logging.get_logger(__name__)

_UpperCamelCase       :				str           =			{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

_UpperCamelCase       :				Union[str, 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"""
        ),
    },
}

_UpperCamelCase       :				str           =			{
    """microsoft/deberta-base""": 5_1_2,
    """microsoft/deberta-large""": 5_1_2,
    """microsoft/deberta-xlarge""": 5_1_2,
    """microsoft/deberta-base-mnli""": 5_1_2,
    """microsoft/deberta-large-mnli""": 5_1_2,
    """microsoft/deberta-xlarge-mnli""": 5_1_2,
}

_UpperCamelCase       :				Union[str, Any]           =			{
    """microsoft/deberta-base""": {"""do_lower_case""": False},
    """microsoft/deberta-large""": {"""do_lower_case""": False},
}







class 		_lowerCAmelCase(		_a):

  """simple docstring"""







  lowerCamelCase__     	=       VOCAB_FILES_NAMES
  lowerCamelCase__     	=       PRETRAINED_VOCAB_FILES_MAP
  lowerCamelCase__     	=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  lowerCamelCase__     	=       ['''input_ids''', '''attention_mask''', '''token_type_ids''']
  lowerCamelCase__     	=       DebertaTokenizer

  def __init__(   self    ,							UpperCAmelCase=None    ,							UpperCAmelCase=None    ,							UpperCAmelCase=None    ,							UpperCAmelCase="replace"    ,							UpperCAmelCase="[CLS]"    ,							UpperCAmelCase="[SEP]"    ,							UpperCAmelCase="[SEP]"    ,							UpperCAmelCase="[CLS]"    ,							UpperCAmelCase="[UNK]"    ,							UpperCAmelCase="[PAD]"    ,							UpperCAmelCase="[MASK]"    ,							UpperCAmelCase=False    ,							**UpperCAmelCase    ,							)->   Dict:
     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    =  kwargs.pop('''add_bos_token'''    ,							UpperCAmelCase      )

     __A    =  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()      )
     if pre_tok_state.get('''add_prefix_space'''    ,							UpperCAmelCase      ) != add_prefix_space:
        __A    =  getattr(UpperCAmelCase    ,							pre_tok_state.pop('''type'''      )      )
        __A    =  add_prefix_space
        __A    =  pre_tok_class(**UpperCAmelCase      )

     __A    =  add_prefix_space

  @property
  def 						SCREAMING_SNAKE_CASE__			(   self      )->   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    ,							UpperCAmelCase      )->   str:
     __A    =  AddedToken(UpperCAmelCase    ,							lstrip=UpperCAmelCase    ,							rstrip=UpperCAmelCase      ) if isinstance(UpperCAmelCase    ,							UpperCAmelCase      ) else value
     __A    =  value

  def 						SCREAMING_SNAKE_CASE__			(   self    ,							UpperCAmelCase    ,							UpperCAmelCase = None      )->   List[int]:
     if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
     __A    =  [self.cls_token_id]
     __A    =  [self.sep_token_id]
     return cls + token_ids_a + sep + token_ids_a + sep

  def 						SCREAMING_SNAKE_CASE__			(   self    ,							UpperCAmelCase    ,							UpperCAmelCase = None      )->   List[int]:
     __A    =  [self.sep_token_id]
     __A    =  [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    ,							*UpperCAmelCase    ,							**UpperCAmelCase      )->   BatchEncoding:
     __A    =  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 						SCREAMING_SNAKE_CASE__			(   self    ,							*UpperCAmelCase    ,							**UpperCAmelCase      )->   BatchEncoding:
     __A    =  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 						SCREAMING_SNAKE_CASE__			(   self    ,							UpperCAmelCase    ,							UpperCAmelCase = None      )->   Tuple[str]:
     __A    =  self._tokenizer.model.save(UpperCAmelCase    ,							name=UpperCAmelCase      )
     return tuple(UpperCAmelCase      )





  def 						SCREAMING_SNAKE_CASE__			(   self    ,							UpperCAmelCase      )->   List[int]:
     __A    =  []
     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    =  input_ids[-self.model_max_length :]
     return input_ids








import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


_UpperCamelCase       :				Tuple           =			logging.get_logger(__name__)







class 		_lowerCAmelCase(		_a):

  """simple docstring"""







  def __init__(   self    ,							*UpperCAmelCase    ,							**UpperCAmelCase      )->   None:
     warnings.warn(
         '''The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
         ''' Please use DetrImageProcessor instead.'''    ,							UpperCAmelCase    ,							)
     super().__init__(*UpperCAmelCase    ,							**UpperCAmelCase      )

