





"""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

lowerCamelCase_	:		Optional[int]         =   logging.get_logger(__name__)

lowerCamelCase_	:		Dict         =   {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

lowerCamelCase_	:		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'
        ),
    },
}

lowerCamelCase_	:		int         =   {
    '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,
}

lowerCamelCase_	:		Optional[Any]         =   {
    'microsoft/deberta-base': {'do_lower_case': False},
    'microsoft/deberta-large': {'do_lower_case': False},
}





def 		UpperCAmelCase__						(	):






  """simple docstring"""





  A_    :			Dict									=    (
      list(range(ord('!'   )					,   ord('~'   ) + 1   )   ) + list(range(ord('¡'   )					,   ord('¬'   ) + 1   )   ) + list(range(ord('®'   )					,   ord('ÿ'   ) + 1   )   )
  )
  A_    :			List[str]									=    bs[:]
  A_    :			Optional[int]									=    0
  for b in range(2**8   ):
    if b not in bs:
      bs.append(a_   )
      cs.append(2**8 + n   )
      n += 1
  A_    :			List[str]									=    [chr(a_   ) for n in cs]
  return dict(zip(a_					,   a_   )   )





def 		UpperCAmelCase__						(	_UpperCAmelCase   ):






  """simple docstring"""





  A_    :			Dict									=    set()
  A_    :			Any									=    word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)   )
    A_    :			Dict									=    char
  return pairs





class 					_UpperCAmelCase    (  __A						):



      '''simple docstring'''
      lowercase_ :					str             =  VOCAB_FILES_NAMES
      lowercase_ :					List[str]             =  PRETRAINED_VOCAB_FILES_MAP
      lowercase_ :					Tuple             =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      lowercase_ :					str             =  ["""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_   , ):

        """simple docstring"""

        A_    :			List[Any]									=    AddedToken(_lowerCamelCase   , lstrip=_lowerCamelCase   , rstrip=_lowerCamelCase    ) if isinstance(_lowerCamelCase   , _lowerCamelCase    ) else bos_token
        A_    :			List[Any]									=    AddedToken(_lowerCamelCase   , lstrip=_lowerCamelCase   , rstrip=_lowerCamelCase    ) if isinstance(_lowerCamelCase   , _lowerCamelCase    ) else eos_token
        A_    :			Optional[Any]									=    AddedToken(_lowerCamelCase   , lstrip=_lowerCamelCase   , rstrip=_lowerCamelCase    ) if isinstance(_lowerCamelCase   , _lowerCamelCase    ) else sep_token
        A_    :			List[str]									=    AddedToken(_lowerCamelCase   , lstrip=_lowerCamelCase   , rstrip=_lowerCamelCase    ) if isinstance(_lowerCamelCase   , _lowerCamelCase    ) else cls_token
        A_    :			Any									=    AddedToken(_lowerCamelCase   , lstrip=_lowerCamelCase   , rstrip=_lowerCamelCase    ) if isinstance(_lowerCamelCase   , _lowerCamelCase    ) else unk_token
        A_    :			List[str]									=    AddedToken(_lowerCamelCase   , lstrip=_lowerCamelCase   , rstrip=_lowerCamelCase    ) if isinstance(_lowerCamelCase   , _lowerCamelCase    ) else pad_token

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

        super().__init__(
            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   , add_bos_token=_lowerCamelCase   , **_lowerCamelCase   , )
        A_    :			Any									=    add_bos_token

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

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        A_    :			Tuple									=    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    ):

        """simple docstring"""

        return len(self.encoder    )

      def    lowerCamelCase_     (	self    ):

        """simple docstring"""

        return dict(self.encoder   , **self.added_tokens_encoder    )

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        if token in self.cache:
          return self.cache[token]
        A_    :			Optional[int]									=    tuple(_lowerCamelCase    )
        A_    :			Optional[Any]									=    get_pairs(_lowerCamelCase    )

        if not pairs:
          return token

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

            if word[i] == first and i < len(_lowerCamelCase    ) - 1 and word[i + 1] == second:
              new_word.append(first + second    )
              i += 2
            else:
              new_word.append(word[i]    )
              i += 1
          A_    :			Any									=    tuple(_lowerCamelCase    )
          A_    :			List[str]									=    new_word
          if len(_lowerCamelCase    ) == 1:
            break
          else:
            A_    :			str									=    get_pairs(_lowerCamelCase    )
        A_    :			List[str]									=    """ """.join(_lowerCamelCase    )
        A_    :			Dict									=    word
        return word

      def    lowerCamelCase_     (	self   , snake_case_   , snake_case_ = None    ):

        """simple docstring"""

        if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
        A_    :			List[str]									=    [self.cls_token_id]
        A_    :			Any									=    [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    ):

        """simple docstring"""

        if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=_lowerCamelCase   , token_ids_a=_lowerCamelCase   , already_has_special_tokens=_lowerCamelCase    )

        if token_ids_a is None:
          return [1] + ([0] * len(_lowerCamelCase    )) + [1]
        return [1] + ([0] * len(_lowerCamelCase    )) + [1] + ([0] * len(_lowerCamelCase    )) + [1]

      def    lowerCamelCase_     (	self   , snake_case_   , snake_case_ = None    ):

        """simple docstring"""

        A_    :			Optional[int]									=    [self.sep_token_id]
        A_    :			Dict									=    [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_    ):

        """simple docstring"""

        A_    :			Any									=    []
        for token in re.findall(self.pat   , _lowerCamelCase    ):
          A_    :			Dict									=    """""".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(_lowerCamelCase    ).split(' '    )    )
        return bpe_tokens

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        return self.encoder.get(_lowerCamelCase   , self.encoder.get(self.unk_token    )    )

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        return self.decoder.get(_lowerCamelCase    )

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        A_    :			Tuple									=    """""".join(_lowerCamelCase    )
        A_    :			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    ):

        """simple docstring"""

        if not os.path.isdir(_lowerCamelCase    ):
          logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""    )
          return
        A_    :			Union[str, Any]									=    os.path.join(
            _lowerCamelCase   , (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )
        A_    :			Optional[int]									=    os.path.join(
            _lowerCamelCase   , (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']    )

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

        A_    :			Optional[int]									=    0
        with open(_lowerCamelCase   , '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!'    )
              A_    :			str									=    token_index
            writer.write(' '.join(_lowerCamelCase    ) + '\n'    )
            index += 1

        return vocab_file, merge_file

      def    lowerCamelCase_     (	self   , snake_case_   , snake_case_=False   , **snake_case_    ):

        """simple docstring"""

        A_    :			Optional[int]									=    kwargs.pop('add_prefix_space'   , self.add_prefix_space    )
        if (is_split_into_words or add_prefix_space) and (len(_lowerCamelCase    ) > 0 and not text[0].isspace()):
          A_    :			Tuple									=    """ """ + text
        return (text, kwargs)

      def    lowerCamelCase_     (	self   , snake_case_    ):

        """simple docstring"""

        A_    :			Union[str, Any]									=    []
        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_    :			Any									=    input_ids[-self.model_max_length :]
        return input_ids




'''simple docstring'''





def     UpperCAmelCase     (    a_ = 9_9_8_0_0_1		)   ->       int:



   """simple docstring"""






   for number in range(n - 1      ,		9_9_9_9      ,		-1		):
      A_  :		Optional[Any]						=					str(a_		)

      # checks whether 'str_number' is a palindrome.
      if str_number == str_number[::-1]:
         A_  :		int						=					9_9_9

         # if 'number' is a product of two 3-digit numbers
         # then number is the answer otherwise fetch next number.
         while divisor != 9_9:
            if (number % divisor == 0) and (len(str(number // divisor		)		) == 3.0):
               return number
            divisor -= 1
   raise ValueError("""That number is larger than our acceptable range."""		)


if __name__ == "__main__":
  print(f'{solution() = }')
