
'''simple docstring'''
import json
import os
from functools import lru_cache
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__ :		Any					=logging.get_logger(__name__)

A__ :		str					={
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

A__ :		List[str]					={
    'vocab_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/vocab.json',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/vocab.json',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/vocab.json',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/vocab.json',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/vocab.json',
    },
    'merges_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/merges.txt',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/merges.txt',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/merges.txt',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/merges.txt',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/merges.txt',
    },
}

A__ :		Tuple					={
    'gpt2': 1_024,
    'gpt2-medium': 1_024,
    'gpt2-large': 1_024,
    'gpt2-xl': 1_024,
    'distilgpt2': 1_024,
}







@lru_cache()
def 							A_  (    )					->							Tuple:





  """simple docstring"""

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







def 							A_  (    __SCREAMING_SNAKE_CASE    :	Dict			)					->							Any:





  """simple docstring"""

  __A		:  int       				=		set()
  __A		:  Tuple       				=		word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)			)
    __A		:  Optional[int]       				=		char
  return pairs







class 			__A					(			_SCREAMING_SNAKE_CASE      ):
 lowerCamelCase												=VOCAB_FILES_NAMES
 lowerCamelCase												=PRETRAINED_VOCAB_FILES_MAP
 lowerCamelCase												=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowerCamelCase												=['''input_ids''', '''attention_mask''']
 def __init__( self      :     List[str]					, lowerCamelCase      :     List[str]					, lowerCamelCase      :     List[Any]					, lowerCamelCase      :     List[Any]="replace"					, lowerCamelCase      :     Union[str, Any]="<|endoftext|>"					, lowerCamelCase      :     Optional[int]="<|endoftext|>"					, lowerCamelCase      :     str="<|endoftext|>"					, lowerCamelCase      :     str=None					, lowerCamelCase      :     str=False					, lowerCamelCase      :     List[str]=False					, **lowerCamelCase      :     str					, ):



   """simple docstring"""





   __A		:  Dict       				=		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		:  Union[str, Any]       				=		AddedToken(lowerCamelCase					, lstrip=lowerCamelCase					, rstrip=lowerCamelCase							) if isinstance(lowerCamelCase					, lowerCamelCase							) else unk_token
   __A		:  int       				=		AddedToken(lowerCamelCase					, lstrip=lowerCamelCase					, rstrip=lowerCamelCase							) if isinstance(lowerCamelCase					, lowerCamelCase							) else pad_token
   super().__init__(
       errors=lowerCamelCase					, unk_token=lowerCamelCase					, bos_token=lowerCamelCase					, eos_token=lowerCamelCase					, pad_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		:  int       				=		json.load(lowerCamelCase							)
   __A		:  int       				=		{v: k for k, v in self.encoder.items()}
   __A		:  Optional[int]       				=		errors  # how to handle errors in decoding
   __A		:  Optional[Any]       				=		bytes_to_unicode()
   __A		:  Optional[Any]       				=		{v: k for k, v in self.byte_encoder.items()}
   with open(lowerCamelCase					, encoding="""utf-8"""							) as merges_handle:
     __A		:  int       				=		merges_handle.read().split("""\n"""							)[1:-1]
   __A		:  List[str]       				=		[tuple(merge.split()							) for merge in bpe_merges]
   __A		:  List[str]       				=		dict(zip(lowerCamelCase					, range(len(lowerCamelCase							)							)							)							)
   __A		:  Optional[int]       				=		{}
   __A		:  Union[str, 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
 def 		lowercase_( self      :     int							):



   """simple docstring"""





   return len(self.encoder							)
 def 		lowercase_( self      :     Dict							):



   """simple docstring"""





   return dict(self.encoder					, **self.added_tokens_encoder							)
 def 		lowercase_( self      :     Any					, lowerCamelCase      :     Tuple							):



   """simple docstring"""





   if token in self.cache:
     return self.cache[token]
   __A		:  int       				=		tuple(lowerCamelCase							)
   __A		:  Tuple       				=		get_pairs(lowerCamelCase							)

   if not pairs:
     return token

   while True:
     __A		:  List[str]       				=		min(lowerCamelCase					, key=lambda lowerCamelCase							: self.bpe_ranks.get(lowerCamelCase					, float("""inf"""							)							)							)
     if bigram not in self.bpe_ranks:
       break
     __A				,       __A		:  List[str]       				=		bigram
     __A		:  Optional[Any]       				=		[]
     __A		:  int       				=		0
     while i < len(lowerCamelCase							):
       try:
         __A		:  Optional[Any]       				=		word.index(lowerCamelCase					, lowerCamelCase							)
       except ValueError:
         new_word.extend(word[i:]							)
         break
       else:
         new_word.extend(word[i:j]							)
         __A		:  Tuple       				=		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		:  Union[str, Any]       				=		tuple(lowerCamelCase							)
     __A		:  Optional[int]       				=		new_word
     if len(lowerCamelCase							) == 1:
       break
     else:
       __A		:  List[Any]       				=		get_pairs(lowerCamelCase							)
   __A		:  List[str]       				=		""" """.join(lowerCamelCase							)
   __A		:  Dict       				=		word
   return word
 def 		lowercase_( self      :     Optional[int]					, lowerCamelCase      :     List[str]					, lowerCamelCase      :     Optional[Any]=None							):



   """simple docstring"""





   if self.add_bos_token:
     __A		:  int       				=		[self.bos_token_id]
   else:
     __A		:  List[str]       				=		[]

   __A		:  Optional[int]       				=		bos_token_ids + token_ids_a

   if token_ids_a is None:
     return output

   return output + bos_token_ids + token_ids_a
 def 		lowercase_( self      :     str					, lowerCamelCase      :     List[int]					, lowerCamelCase      :     Optional[List[int]] = None					, lowerCamelCase      :     bool = 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 not self.add_bos_token:
     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							))
   return [1] + ([0] * len(lowerCamelCase							)) + [1] + ([0] * len(lowerCamelCase							))
 def 		lowercase_( self      :     Dict					, lowerCamelCase      :     List[str]							):



   """simple docstring"""





   __A		:  Any       				=		[]
   for token in re.findall(self.pat					, lowerCamelCase							):
     __A		:  Union[str, Any]       				=		"""""".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 		lowercase_( self      :     str					, lowerCamelCase      :     Optional[Any]							):



   """simple docstring"""





   return self.encoder.get(lowerCamelCase					, self.encoder.get(self.unk_token							)							)
 def 		lowercase_( self      :     Any					, lowerCamelCase      :     str							):



   """simple docstring"""





   return self.decoder.get(lowerCamelCase							)
 def 		lowercase_( self      :     List[Any]					, lowerCamelCase      :     int							):



   """simple docstring"""





   __A		:  List[str]       				=		"""""".join(lowerCamelCase							)
   __A		:  List[str]       				=		bytearray([self.byte_decoder[c] for c in text]							).decode("""utf-8"""					, errors=self.errors							)
   return text
 def 		lowercase_( self      :     Union[str, Any]					, lowerCamelCase      :     str					, lowerCamelCase      :     Optional[str] = None							):



   """simple docstring"""





   if not os.path.isdir(lowerCamelCase							):
     logger.error(f"Vocabulary path ({save_directory}) should be a directory"							)
     return
   __A		:  Optional[int]       				=		os.path.join(
       lowerCamelCase					, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)
   __A		:  str       				=		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		:  Union[str, 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!"""							)
         __A		:  Tuple       				=		token_index
       writer.write(""" """.join(lowerCamelCase							) + """\n"""							)
       index += 1

   return vocab_file, merge_file
 def 		lowercase_( self      :     List[Any]					, lowerCamelCase      :     Optional[Any]					, lowerCamelCase      :     Optional[int]=False					, **lowerCamelCase      :     List[Any]							):



   """simple docstring"""





   __A		:  Any       				=		kwargs.pop("""add_prefix_space"""					, self.add_prefix_space							)
   if is_split_into_words or add_prefix_space:
     __A		:  Tuple       				=		""" """ + text
   return (text, kwargs)






 def 		lowercase_( self      :     Union[str, Any]					, lowerCamelCase      :     "Conversation"							):



   """simple docstring"""





   __A		:  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		:  Dict       				=		input_ids[-self.model_max_length :]
   return input_ids





'''simple docstring'''
A__ :		Optional[Any]					=[chr(i) for i in range(32, 126)]
A__ :		Tuple					=list(range(len(alphabets)))
A__ :		int					=list(range(len(alphabets)))
A__ :		Optional[Any]					=list(range(len(alphabets)))
A__ :		Any					=list(reversed(range(len(alphabets))))
A__ :		Optional[int]					=[]
A__ :		Tuple					=0







def 							A_  (    )					->							Any:





  """simple docstring"""

  global gear_one_pos
  global gear_two_pos
  global gear_three_pos
  __A		:  Any       				=		gear_one[0]
  gear_one.append(__SCREAMING_SNAKE_CASE			)
  del gear_one[0]
  gear_one_pos += 1
  if gear_one_pos % int(len(__SCREAMING_SNAKE_CASE			)			) == 0:
    __A		:  Any       				=		gear_two[0]
    gear_two.append(__SCREAMING_SNAKE_CASE			)
    del gear_two[0]
    gear_two_pos += 1
    if gear_two_pos % int(len(__SCREAMING_SNAKE_CASE			)			) == 0:
      __A		:  str       				=		gear_three[0]
      gear_three.append(__SCREAMING_SNAKE_CASE			)
      del gear_three[0]
      gear_three_pos += 1







def 							A_  (    __SCREAMING_SNAKE_CASE    :	str			)					->							List[str]:





  """simple docstring"""

  __A		:  Union[str, Any]       				=		alphabets.index(__SCREAMING_SNAKE_CASE			)
  __A		:  Dict       				=		gear_one[target]
  __A		:  int       				=		gear_two[target]
  __A		:  List[str]       				=		gear_three[target]
  __A		:  List[Any]       				=		reflector[target]
  __A		:  List[Any]       				=		gear_three.index(__SCREAMING_SNAKE_CASE			)
  __A		:  Tuple       				=		gear_two.index(__SCREAMING_SNAKE_CASE			)
  __A		:  List[str]       				=		gear_one.index(__SCREAMING_SNAKE_CASE			)
  code.append(alphabets[target]			)
  rotator()


if __name__ == "__main__":
     A__ :		int					=list(input('Type your message:\n'))
     while True:
          try:
               A__ :		Any					=int(input('Please set token:(must be only digits)\n'))
               break
          except Exception as error:
               print(error)
     for _ in range(token):
          rotator()
     for j in decode:
          engine(j)
     print('\n' + ''.join(code))
     print(
         F"\nYour Token is {token} please write it down.\nIf you want to decode "
         'this message again you should input same digits as token!'
     )



