

"""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)




"""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""")

