code: 
  
  """simple docstring"""
  import json
  import os
  from functools import lru_cache
  from typing import List, Optional, Tuple
  
  import regex as re
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  from ...utils import logging
  
  
  _A						=     logging.get_logger(__name__)
  
  _A						=     {
      """vocab_file""": """vocab.json""",
      """merges_file""": """merges.txt""",
  }
  
  _A						=     {
      """vocab_file""": {
          """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/vocab.json""",
          """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/vocab.json""",
          """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json""",
          """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/vocab.json""",
          """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json""",
          """roberta-large-openai-detector""": (
              """https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"""
          ),
      },
      """merges_file""": {
          """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/merges.txt""",
          """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/merges.txt""",
          """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt""",
          """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/merges.txt""",
          """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt""",
          """roberta-large-openai-detector""": (
              """https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"""
          ),
      },
  }
  
  _A						=     {
      """roberta-base""": 5_12,
      """roberta-large""": 5_12,
      """roberta-large-mnli""": 5_12,
      """distilroberta-base""": 5_12,
      """roberta-base-openai-detector""": 5_12,
      """roberta-large-openai-detector""": 5_12,
  }
  
  
  
  
  @lru_cache()
  def 				a__	(	)  ->   int:
        UpperCAmelCase__ :       Optional[int]						=						(
            list(range(ord("""!"""						) ,  ord("""~"""						) + 1						)						) + list(range(ord("""¡"""						) ,  ord("""¬"""						) + 1						)						) + list(range(ord("""®"""						) ,  ord("""ÿ"""						) + 1						)						)
        )
        UpperCAmelCase__ :       Union[str, Any]						=						bs[:]
        UpperCAmelCase__ :       Optional[Any]						=						0
        for b in range(2**8						):
              if b not in bs:
                    bs.append(lowerCAmelCase						)
                    cs.append(2**8 + n						)
                    n += 1
        UpperCAmelCase__ :       Optional[Any]						=						[chr(lowerCAmelCase						) for n in cs]
        return dict(zip(lowerCAmelCase ,  lowerCAmelCase						)						)
  
  
  
  
  def 				a__	(	lowerCAmelCase						)  ->   Tuple:
        UpperCAmelCase__ :       int						=						set()
        UpperCAmelCase__ :       int						=						word[0]
        for char in word[1:]:
              pairs.add((prev_char, char)						)
              UpperCAmelCase__ :       str						=						char
        return pairs
  
  
  
  
  
  class 			lowerCamelCase  (					lowerCAmelCase__      ):
  
  
    '''simple docstring'''
  
  
  
  
  
  
  
    SCREAMING_SNAKE_CASE							=     VOCAB_FILES_NAMES
    SCREAMING_SNAKE_CASE							=     PRETRAINED_VOCAB_FILES_MAP
    SCREAMING_SNAKE_CASE							=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    SCREAMING_SNAKE_CASE							=     ['input_ids', 'attention_mask']
  
  
  
    def __init__(self       ,					_lowerCamelCase       ,					_lowerCamelCase       ,					_lowerCamelCase="replace"       ,					_lowerCamelCase="<s>"       ,					_lowerCamelCase="</s>"       ,					_lowerCamelCase="</s>"       ,					_lowerCamelCase="<s>"       ,					_lowerCamelCase="<unk>"       ,					_lowerCamelCase="<pad>"       ,					_lowerCamelCase="<mask>"       ,					_lowerCamelCase=False       ,					**_lowerCamelCase       ,					):
  
  
          """simple docstring"""
  
          UpperCAmelCase__ :       List[str]						=						AddedToken(_lowerCamelCase       ,					lstrip=_lowerCamelCase       ,					rstrip=_lowerCamelCase  ) if isinstance(_lowerCamelCase       ,					_lowerCamelCase  ) else bos_token
          UpperCAmelCase__ :       Dict						=						AddedToken(_lowerCamelCase       ,					lstrip=_lowerCamelCase       ,					rstrip=_lowerCamelCase  ) if isinstance(_lowerCamelCase       ,					_lowerCamelCase  ) else eos_token
          UpperCAmelCase__ :       Optional[int]						=						AddedToken(_lowerCamelCase       ,					lstrip=_lowerCamelCase       ,					rstrip=_lowerCamelCase  ) if isinstance(_lowerCamelCase       ,					_lowerCamelCase  ) else sep_token
          UpperCAmelCase__ :       Optional[int]						=						AddedToken(_lowerCamelCase       ,					lstrip=_lowerCamelCase       ,					rstrip=_lowerCamelCase  ) if isinstance(_lowerCamelCase       ,					_lowerCamelCase  ) else cls_token
          UpperCAmelCase__ :       Tuple						=						AddedToken(_lowerCamelCase       ,					lstrip=_lowerCamelCase       ,					rstrip=_lowerCamelCase  ) if isinstance(_lowerCamelCase       ,					_lowerCamelCase  ) else unk_token
          UpperCAmelCase__ :       List[Any]						=						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
          UpperCAmelCase__ :       str						=						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       ,					**_lowerCamelCase       ,					)
  
          with open(_lowerCamelCase       ,					encoding="""utf-8"""  ) as vocab_handle:
                UpperCAmelCase__ :       Union[str, Any]						=						json.load(_lowerCamelCase  )
          UpperCAmelCase__ :       str						=						{v: k for k, v in self.encoder.items()}
          UpperCAmelCase__ :       int						=						errors  # how to handle errors in decoding
          UpperCAmelCase__ :       List[str]						=						bytes_to_unicode()
          UpperCAmelCase__ :       Tuple						=						{v: k for k, v in self.byte_encoder.items()}
          with open(_lowerCamelCase       ,					encoding="""utf-8"""  ) as merges_handle:
                UpperCAmelCase__ :       Union[str, Any]						=						merges_handle.read().split("""\n"""  )[1:-1]
          UpperCAmelCase__ :       int						=						[tuple(merge.split()  ) for merge in bpe_merges]
          UpperCAmelCase__ :       Tuple						=						dict(zip(_lowerCamelCase       ,					range(len(_lowerCamelCase  )  )  )  )
          UpperCAmelCase__ :       Optional[int]						=						{}
          UpperCAmelCase__ :       Optional[Any]						=						add_prefix_space
  
          # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
          UpperCAmelCase__ :       List[str]						=						re.compile(r"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""  )
  
  
  
    @property
    def    _a			(self  ):
  
  
          """simple docstring"""
  
          return len(self.encoder  )
  
  
  
    def    _a			(self  ):
  
  
          """simple docstring"""
  
          return dict(self.encoder       ,					**self.added_tokens_encoder  )
  
  
  
    def    _a			(self       ,					_lowerCamelCase  ):
  
  
          """simple docstring"""
  
          if token in self.cache:
                return self.cache[token]
          UpperCAmelCase__ :       Dict						=						tuple(_lowerCamelCase  )
          UpperCAmelCase__ :       int						=						get_pairs(_lowerCamelCase  )
  
          if not pairs:
                return token
  
          while True:
                UpperCAmelCase__ :       Optional[int]						=						min(_lowerCamelCase       ,					key=lambda _lowerCamelCase  : self.bpe_ranks.get(_lowerCamelCase       ,					float("""inf"""  )  )  )
                if bigram not in self.bpe_ranks:
                      break
                UpperCAmelCase__				,		UpperCAmelCase__ :       List[Any]						=						bigram
                UpperCAmelCase__ :       Any						=						[]
                UpperCAmelCase__ :       Any						=						0
                while i < len(_lowerCamelCase  ):
                      try:
                            UpperCAmelCase__ :       Any						=						word.index(_lowerCamelCase       ,					_lowerCamelCase  )
                      except ValueError:
                            new_word.extend(word[i:]  )
                            break
                      else:
                            new_word.extend(word[i:j]  )
                            UpperCAmelCase__ :       Dict						=						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
                UpperCAmelCase__ :       Dict						=						tuple(_lowerCamelCase  )
                UpperCAmelCase__ :       Optional[Any]						=						new_word
                if len(_lowerCamelCase  ) == 1:
                      break
                else:
                      UpperCAmelCase__ :       List[Any]						=						get_pairs(_lowerCamelCase  )
          UpperCAmelCase__ :       int						=						""" """.join(_lowerCamelCase  )
          UpperCAmelCase__ :       Tuple						=						word
          return word
  
  
  
    def    _a			(self       ,					_lowerCamelCase  ):
  
  
          """simple docstring"""
  
          UpperCAmelCase__ :       int						=						[]
          for token in re.findall(self.pat       ,					_lowerCamelCase  ):
                UpperCAmelCase__ :       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    _a			(self       ,					_lowerCamelCase  ):
  
  
          """simple docstring"""
  
          return self.encoder.get(_lowerCamelCase       ,					self.encoder.get(self.unk_token  )  )
  
  
  
    def    _a			(self       ,					_lowerCamelCase  ):
  
  
          """simple docstring"""
  
          return self.decoder.get(_lowerCamelCase  )
  
  
  
    def    _a			(self       ,					_lowerCamelCase  ):
  
  
          """simple docstring"""
  
          UpperCAmelCase__ :       Optional[Any]						=						"""""".join(_lowerCamelCase  )
          UpperCAmelCase__ :       Any						=						bytearray([self.byte_decoder[c] for c in text]  ).decode("""utf-8"""       ,					errors=self.errors  )
          return text
  
  
  
    def    _a			(self       ,					_lowerCamelCase       ,					_lowerCamelCase = None  ):
  
  
          """simple docstring"""
  
          if not os.path.isdir(_lowerCamelCase  ):
                logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""  )
                return
          UpperCAmelCase__ :       Any						=						os.path.join(
              _lowerCamelCase       ,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]  )
          UpperCAmelCase__ :       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"""  )
  
          UpperCAmelCase__ :       Optional[Any]						=						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 _lowerCamelCase  : 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!"""  )
                            UpperCAmelCase__ :       Dict						=						token_index
                      writer.write(""" """.join(_lowerCamelCase  ) + """\n"""  )
                      index += 1
  
          return vocab_file, merge_file
  
  
  
    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]
          UpperCAmelCase__ :       Optional[Any]						=						[self.cls_token_id]
          UpperCAmelCase__ :       Tuple						=						[self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep
  
  
  
    def    _a			(self       ,					_lowerCamelCase       ,					_lowerCamelCase = None       ,					_lowerCamelCase = 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, 1] + ([0] * len(_lowerCamelCase  )) + [1]
  
  
  
    def    _a			(self       ,					_lowerCamelCase       ,					_lowerCamelCase = None  ):
  
  
          """simple docstring"""
  
          UpperCAmelCase__ :       Dict						=						[self.sep_token_id]
          UpperCAmelCase__ :       Optional[int]						=						[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 + sep + token_ids_a + sep  ) * [0]
  
  
  
  
    def    _a			(self       ,					_lowerCamelCase       ,					_lowerCamelCase=False       ,					**_lowerCamelCase  ):
  
  
          """simple docstring"""
  
          UpperCAmelCase__ :       Any						=						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()):
                UpperCAmelCase__ :       Dict						=						""" """ + text
          return (text, kwargs)
  
  
style_context: 
  
  """simple docstring"""
  def 				a__	(	lowerCAmelCase ,  lowerCAmelCase						)  ->   str:
        if not isinstance(lowerCAmelCase ,  lowerCAmelCase						):
              raise TypeError("""plaintext must be a string"""						)
        if not isinstance(lowerCAmelCase ,  lowerCAmelCase						):
              raise TypeError("""key must be a string"""						)
  
        if not plaintext:
              raise ValueError("""plaintext is empty"""						)
        if not key:
              raise ValueError("""key is empty"""						)
  
        key += plaintext
        UpperCAmelCase__ :       Dict						=						plaintext.lower()
        UpperCAmelCase__ :       Tuple						=						key.lower()
        UpperCAmelCase__ :       Optional[int]						=						0
        UpperCAmelCase__ :       Tuple						=						0
        UpperCAmelCase__ :       Optional[int]						=						""""""
        while plaintext_iterator < len(lowerCAmelCase						):
              if (
                  ord(plaintext[plaintext_iterator]						) < 97
                  or ord(plaintext[plaintext_iterator]						) > 1_22
              ):
                    ciphertext += plaintext[plaintext_iterator]
                    plaintext_iterator += 1
              elif ord(key[key_iterator]						) < 97 or ord(key[key_iterator]						) > 1_22:
                    key_iterator += 1
              else:
                    ciphertext += chr(
                        (
                            (ord(plaintext[plaintext_iterator]						) - 97 + ord(key[key_iterator]						))
                            - 97
                        )
                        % 26
                        + 97						)
                    key_iterator += 1
                    plaintext_iterator += 1
        return ciphertext
  
  
  
  
  def 				a__	(	lowerCAmelCase ,  lowerCAmelCase						)  ->   str:
        if not isinstance(lowerCAmelCase ,  lowerCAmelCase						):
              raise TypeError("""ciphertext must be a string"""						)
        if not isinstance(lowerCAmelCase ,  lowerCAmelCase						):
              raise TypeError("""key must be a string"""						)
  
        if not ciphertext:
              raise ValueError("""ciphertext is empty"""						)
        if not key:
              raise ValueError("""key is empty"""						)
  
        UpperCAmelCase__ :       Union[str, Any]						=						key.lower()
        UpperCAmelCase__ :       int						=						0
        UpperCAmelCase__ :       int						=						0
        UpperCAmelCase__ :       int						=						""""""
        while ciphertext_iterator < len(lowerCAmelCase						):
              if (
                  ord(ciphertext[ciphertext_iterator]						) < 97
                  or ord(ciphertext[ciphertext_iterator]						) > 1_22
              ):
                    plaintext += ciphertext[ciphertext_iterator]
              else:
                    plaintext += chr(
                        (ord(ciphertext[ciphertext_iterator]						) - ord(key[key_iterator]						)) % 26
                        + 97						)
                    key += chr(
                        (ord(ciphertext[ciphertext_iterator]						) - ord(key[key_iterator]						)) % 26
                        + 97						)
                    key_iterator += 1
              ciphertext_iterator += 1
        return plaintext
  
  
  if __name__ == "__main__":
      import doctest
  
      doctest.testmod()
      _A						=     int(input("""Type 1 to encrypt or 2 to decrypt:"""))
      if operation == 1:
          _A						=     input("""Typeplaintext to be encrypted:\n""")
          _A						=     input("""Type the key:\n""")
          print(encrypt(plaintext, key))
      elif operation == 2:
          _A						=     input("""Type the ciphertext to be decrypted:\n""")
          _A						=     input("""Type the key:\n""")
          print(decrypt(ciphertext, key))
      decrypt("""jsqqs avvwo""", """coffee""")
  
  