
"""simple docstring"""
import json
import os
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
    from transformers.pipelines.conversational import Conversation

_a   :      Tuple       =				logging.get_logger(__name__)

_a   :      List[str]       =				{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

_a   :      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"""
        ),
    },
}

_a   :      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,
}

_a   :      Dict       =				{
    """microsoft/deberta-base""": {"""do_lower_case""": False},
    """microsoft/deberta-large""": {"""do_lower_case""": False},
}
def 					a__ ( ):

  """simple docstring"""







  _snake_case  :    Union[str, Any]            = (
      list(range(ord("!"		)							,  ord("~"		) + 1		)		) + list(range(ord("¡"		)							,  ord("¬"		) + 1		)		) + list(range(ord("®"		)							,  ord("ÿ"		) + 1		)		)
  )
  _snake_case  :    int            = bs[:]
  _snake_case  :    Optional[Any]            = 0
  for b in range(2**8		):
    if b not in bs:
      bs.append(a		)
      cs.append(2**8 + n		)
      n += 1
  _snake_case  :    Dict            = [chr(a		) for n in cs]
  return dict(zip(a							,  a		)		)
def 					a__ ( a :					Optional[int]		):

  """simple docstring"""







  _snake_case  :    str            = set()
  _snake_case  :    List[str]            = word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)		)
    _snake_case  :    Union[str, Any]            = char
  return pairs






class   _UpperCAmelCase					(       _snake_case):
    __lowercase				:			Optional[int]	=       VOCAB_FILES_NAMES
    __lowercase				:			List[Any]	=       PRETRAINED_VOCAB_FILES_MAP
    __lowercase				:			Optional[int]	=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    __lowercase				:			Dict	=       ["""input_ids""", """attention_mask""", """token_type_ids"""]
    def __init__(     self    ,     snake_case_    ,     snake_case_    ,     snake_case_="replace"    ,     snake_case_="[CLS]"    ,     snake_case_="[SEP]"    ,     snake_case_="[SEP]"    ,     snake_case_="[CLS]"    ,     snake_case_="[UNK]"    ,     snake_case_="[PAD]"    ,     snake_case_="[MASK]"    ,     snake_case_=False    ,     snake_case_=False    ,     **snake_case_    ,     ):
      _snake_case  :    Tuple            = AddedToken(snake_case_    ,     lstrip=snake_case_    ,     rstrip=snake_case_  ) if isinstance(snake_case_    ,     snake_case_  ) else bos_token
      _snake_case  :    Optional[Any]            = AddedToken(snake_case_    ,     lstrip=snake_case_    ,     rstrip=snake_case_  ) if isinstance(snake_case_    ,     snake_case_  ) else eos_token
      _snake_case  :    Dict            = AddedToken(snake_case_    ,     lstrip=snake_case_    ,     rstrip=snake_case_  ) if isinstance(snake_case_    ,     snake_case_  ) else sep_token
      _snake_case  :    Optional[Any]            = AddedToken(snake_case_    ,     lstrip=snake_case_    ,     rstrip=snake_case_  ) if isinstance(snake_case_    ,     snake_case_  ) else cls_token
      _snake_case  :    Dict            = AddedToken(snake_case_    ,     lstrip=snake_case_    ,     rstrip=snake_case_  ) if isinstance(snake_case_    ,     snake_case_  ) else unk_token
      _snake_case  :    List[str]            = AddedToken(snake_case_    ,     lstrip=snake_case_    ,     rstrip=snake_case_  ) if isinstance(snake_case_    ,     snake_case_  ) else pad_token

      # Mask token behave like a normal word, i.e. include the space before it
      _snake_case  :    str            = AddedToken(snake_case_    ,     lstrip=snake_case_    ,     rstrip=snake_case_  ) if isinstance(snake_case_    ,     snake_case_  ) else mask_token

      super().__init__(
          errors=snake_case_    ,     bos_token=snake_case_    ,     eos_token=snake_case_    ,     unk_token=snake_case_    ,     sep_token=snake_case_    ,     cls_token=snake_case_    ,     pad_token=snake_case_    ,     mask_token=snake_case_    ,     add_prefix_space=snake_case_    ,     add_bos_token=snake_case_    ,     **snake_case_    ,     )
      _snake_case  :    List[Any]            = add_bos_token

      with open(snake_case_    ,     encoding="utf-8"  ) as vocab_handle:
        _snake_case  :    Dict            = json.load(snake_case_  )
      _snake_case  :    Tuple            = {v: k for k, v in self.encoder.items()}
      _snake_case  :    str            = errors  # how to handle errors in decoding
      _snake_case  :    Optional[Any]            = bytes_to_unicode()
      _snake_case  :    str            = {v: k for k, v in self.byte_encoder.items()}
      with open(snake_case_    ,     encoding="utf-8"  ) as merges_handle:
        _snake_case  :    Union[str, Any]            = merges_handle.read().split("\n"  )[1:-1]
      _snake_case  :    List[str]            = [tuple(merge.split()  ) for merge in bpe_merges]
      _snake_case  :    Any            = dict(zip(snake_case_    ,     range(len(snake_case_  )  )  )  )
      _snake_case  :    Optional[int]            = {}
      _snake_case  :    Dict            = add_prefix_space

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      _snake_case  :    Optional[Any]            = re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"  )
    @property
    # Copied from transformers.models.gpt2.tokenization_gpt2.GPT2Tokenizer.vocab_size
    def        lowerCamelCase__						(     self  ):
      return len(self.encoder  )
    def        lowerCamelCase__						(     self  ):
      return dict(self.encoder    ,     **self.added_tokens_encoder  )
    def        lowerCamelCase__						(     self    ,     snake_case_  ):
      if token in self.cache:
        return self.cache[token]
      _snake_case  :    Optional[Any]            = tuple(snake_case_  )
      _snake_case  :    List[str]            = get_pairs(snake_case_  )

      if not pairs:
        return token

      while True:
        _snake_case  :    Optional[int]            = min(snake_case_    ,     key=lambda snake_case_  : self.bpe_ranks.get(snake_case_    ,     float("inf"  )  )  )
        if bigram not in self.bpe_ranks:
          break
        _snake_case      ,       _snake_case  :    Tuple            = bigram
        _snake_case  :    List[str]            = []
        _snake_case  :    Optional[int]            = 0
        while i < len(snake_case_  ):
          try:
            _snake_case  :    Union[str, Any]            = word.index(snake_case_    ,     snake_case_  )
          except ValueError:
            new_word.extend(word[i:]  )
            break
          else:
            new_word.extend(word[i:j]  )
            _snake_case  :    Optional[int]            = j

          if word[i] == first and i < len(snake_case_  ) - 1 and word[i + 1] == second:
            new_word.append(first + second  )
            i += 2
          else:
            new_word.append(word[i]  )
            i += 1
        _snake_case  :    Tuple            = tuple(snake_case_  )
        _snake_case  :    str            = new_word
        if len(snake_case_  ) == 1:
          break
        else:
          _snake_case  :    Optional[Any]            = get_pairs(snake_case_  )
      _snake_case  :    Dict            = " ".join(snake_case_  )
      _snake_case  :    Any            = word
      return word
    def        lowerCamelCase__						(     self    ,     snake_case_    ,     snake_case_ = None  ):
      if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      _snake_case  :    int            = [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    ,     snake_case_    ,     snake_case_ = None    ,     snake_case_ = False  ):
      if already_has_special_tokens:
        return super().get_special_tokens_mask(
            token_ids_a=snake_case_    ,     token_ids_a=snake_case_    ,     already_has_special_tokens=snake_case_  )

      if token_ids_a is None:
        return [1] + ([0] * len(snake_case_  )) + [1]
      return [1] + ([0] * len(snake_case_  )) + [1] + ([0] * len(snake_case_  )) + [1]
    def        lowerCamelCase__						(     self    ,     snake_case_    ,     snake_case_ = None  ):
      _snake_case  :    List[Any]            = [self.sep_token_id]
      _snake_case  :    List[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    ,     snake_case_  ):
      _snake_case  :    str            = []
      for token in re.findall(self.pat    ,     snake_case_  ):
        _snake_case  :    List[str]            = "".join(
            self.byte_encoder[b] for b in token.encode("utf-8"  )  )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
        bpe_tokens.extend(bpe_token for bpe_token in self.bpe(snake_case_  ).split(" "  )  )
      return bpe_tokens
    def        lowerCamelCase__						(     self    ,     snake_case_  ):
      return self.encoder.get(snake_case_    ,     self.encoder.get(self.unk_token  )  )
    def        lowerCamelCase__						(     self    ,     snake_case_  ):
      return self.decoder.get(snake_case_  )
    def        lowerCamelCase__						(     self    ,     snake_case_  ):
      _snake_case  :    List[Any]            = "".join(snake_case_  )
      _snake_case  :    Optional[Any]            = bytearray([self.byte_decoder[c] for c in text]  ).decode("utf-8"    ,     errors=self.errors  )
      return text
    def        lowerCamelCase__						(     self    ,     snake_case_    ,     snake_case_ = None  ):
      if not os.path.isdir(snake_case_  ):
        logger.error(F'Vocabulary path ({save_directory}) should be a directory'  )
        return
      _snake_case  :    Tuple            = os.path.join(
          snake_case_    ,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]  )
      _snake_case  :    Union[str, Any]            = os.path.join(
          snake_case_    ,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]  )

      with open(snake_case_    ,     "w"    ,     encoding="utf-8"  ) as f:
        f.write(json.dumps(self.encoder    ,     indent=2    ,     sort_keys=snake_case_    ,     ensure_ascii=snake_case_  ) + "\n"  )

      _snake_case  :    Union[str, Any]            = 0
      with open(snake_case_    ,     "w"    ,     encoding="utf-8"  ) as writer:
        writer.write("#version: 0.2\n"  )
        for bpe_tokens, token_index in sorted(self.bpe_ranks.items()    ,     key=lambda snake_case_  : kv[1]  ):
          if index != token_index:
            logger.warning(
                F'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
                " Please check that the tokenizer is not corrupted!"  )
            _snake_case  :    List[str]            = token_index
          writer.write(" ".join(snake_case_  ) + "\n"  )
          index += 1

      return vocab_file, merge_file
    def        lowerCamelCase__						(     self    ,     snake_case_    ,     snake_case_=False    ,     **snake_case_  ):
      _snake_case  :    List[str]            = kwargs.pop("add_prefix_space"    ,     self.add_prefix_space  )
      if (is_split_into_words or add_prefix_space) and (len(snake_case_  ) > 0 and not text[0].isspace()):
        _snake_case  :    List[Any]            = " " + text
      return (text, kwargs)


    def        lowerCamelCase__						(     self    ,     snake_case_  ):
      _snake_case  :    Any            = []
      for is_user, text in conversation.iter_texts():
        input_ids.extend(self.encode(snake_case_    ,     add_special_tokens=snake_case_  ) + [self.eos_token_id]  )
      if len(snake_case_  ) > self.model_max_length:
        _snake_case  :    str            = input_ids[-self.model_max_length :]
      return input_ids


"""simple docstring"""







from __future__ import annotations


def 	a__   (		UpperCAmelCase__							:      list      )->						int | float:
						UpperCAmelCase__       						=		sorted(UpperCAmelCase__      )
						UpperCAmelCase__       						=		len(UpperCAmelCase__      )
						UpperCAmelCase__       						=		length >> 1
						return (
						    (sorted_list[mid_index] + sorted_list[mid_index - 1]) / 2
						    if length % 2 == 0
						    else sorted_list[mid_index]
						)


def 	a__   (		)->						Dict:
						import doctest

						doctest.testmod()


if __name__ == "__main__":
						main()

