




'''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


a		:	Any       =      logging.get_logger(__name__)

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

a		:	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"""
        ),
    },
}

a		:	Any       =      {
    """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,
}

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




class      UpperCamelCase       (	__A       ):
  a     :Union[str, Any]          =					VOCAB_FILES_NAMES
  a     :List[str]          =					PRETRAINED_VOCAB_FILES_MAP
  a     :str          =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a     :Dict          =					["""input_ids""", """attention_mask""", """token_type_ids"""]
  a     :str          =					DebertaTokenizer



  def __init__(			self		,     __lowerCAmelCase=None		,     __lowerCAmelCase=None		,     __lowerCAmelCase=None		,     __lowerCAmelCase="replace"		,     __lowerCAmelCase="[CLS]"		,     __lowerCAmelCase="[SEP]"		,     __lowerCAmelCase="[SEP]"		,     __lowerCAmelCase="[CLS]"		,     __lowerCAmelCase="[UNK]"		,     __lowerCAmelCase="[PAD]"		,     __lowerCAmelCase="[MASK]"		,     __lowerCAmelCase=False		,     **__lowerCAmelCase		,     ):







      '''simple docstring'''


      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__		,     )
      _a				:							str							       =      kwargs.pop("""add_bos_token"""		,     lowerCamelCase__ )

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

      _a				:							Optional[Any]							       =      add_prefix_space



  @property
  def     a_							(			self ):







      '''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     a_							(			self		,     __lowerCAmelCase ):







      '''simple docstring'''


      _a				:							Optional[Any]							       =      AddedToken(lowerCamelCase__		,     lstrip=lowerCamelCase__		,     rstrip=lowerCamelCase__ ) if isinstance(lowerCamelCase__		,     lowerCamelCase__ ) else value
      _a				:							List[str]							       =      value



  def     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase = None ):







      '''simple docstring'''


      if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      _a				:							Optional[int]							       =      [self.cls_token_id]
      _a				:							Optional[int]							       =      [self.sep_token_id]
      return cls + token_ids_a + sep + token_ids_a + sep



  def     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase = None ):







      '''simple docstring'''


      _a				:							List[str]							       =      [self.sep_token_id]
      _a				:							List[str]							       =      [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     a_							(			self		,     *__lowerCAmelCase		,     **__lowerCAmelCase ):







      '''simple docstring'''


      _a				:							List[str]							       =      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     a_							(			self		,     *__lowerCAmelCase		,     **__lowerCAmelCase ):







      '''simple docstring'''


      _a				:							Tuple							       =      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     a_							(			self		,     __lowerCAmelCase		,     __lowerCAmelCase = None ):







      '''simple docstring'''


      _a				:							str							       =      self._tokenizer.model.save(lowerCamelCase__		,     name=lowerCamelCase__ )
      return tuple(lowerCamelCase__ )



  def     a_							(			self		,     __lowerCAmelCase ):







      '''simple docstring'''


      _a				:							Dict							       =      []
      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:
          _a				:							Optional[Any]							       =      input_ids[-self.model_max_length :]
      return input_ids








'''simple docstring'''
def 							snake_case_    (  a__						:      int     ):



    """simple docstring"""




    __lowercase     							=		1
    __lowercase     							=		0
    __lowercase     							=		1
    __lowercase     							=		1
    __lowercase     							=		3
    __lowercase     							=		3
    __lowercase     							=		limit
    __lowercase     							=		0

    __lowercase     							=		""""""
    while counter != decimal + 1:
        if 4 * q + r - t < n * t:
            result += str(a__     )
            if counter == 0:
                result += "."

            if decimal == counter:
                break

            counter += 1
            __lowercase     							=		10 * (r - n * t)
            __lowercase     							=		((10 * (3 * q + r)) // t) - 10 * n
            q *= 10
            __lowercase     							=		nr
        else:
            __lowercase     							=		(2 * q + r) * l
            __lowercase     							=		(q * (7 * k) + 2 + (r * l)) // (t * l)
            q *= k
            t *= l
            l += 2
            k += 1
            __lowercase     							=		nn
            __lowercase     							=		nr
    return result
def 							snake_case_    (  ):



    """simple docstring"""




    print(f'{calculate_pi(50     ) = }'     )
    import doctest

    doctest.testmod()


if __name__ == "__main__":
  main()




