
'''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

__UpperCAmelCase												=   logging.get_logger(__name__)

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

__UpperCAmelCase												=   {
    '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',
    },
}

__UpperCAmelCase												=   {
    'gpt2': 1024,
    'gpt2-medium': 1024,
    'gpt2-large': 1024,
    'gpt2-xl': 1024,
    'distilgpt2': 1024,
}



@lru_cache()
def        SCREAMING_SNAKE_CASE_  (	)       ->	Any:
 SCREAMING_SNAKE_CASE  :  List[str]								=		(
     list(range(ord('!'							)   ,     ord('~'							) + 1							)							) + list(range(ord('¡'							)   ,     ord('¬'							) + 1							)							) + list(range(ord('®'							)   ,     ord('ÿ'							) + 1							)							)
 )
 SCREAMING_SNAKE_CASE  :  Optional[Any]								=		bs[:]
 SCREAMING_SNAKE_CASE  :  Optional[Any]								=		0
 for b in range(2**8							):
  if b not in bs:
   bs.append(snake_case_							)
   cs.append(2**8 + n							)
   n += 1
 SCREAMING_SNAKE_CASE  :  List[str]								=		[chr(snake_case_							) for n in cs]
 return dict(zip(snake_case_   ,     snake_case_							)							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	Any							)       ->	Dict:
 SCREAMING_SNAKE_CASE  :  List[Any]								=		set()
 SCREAMING_SNAKE_CASE  :  Optional[int]								=		word[0]
 for char in word[1:]:
  pairs.add((prev_char, char)							)
  SCREAMING_SNAKE_CASE  :  Any								=		char
 return pairs





class 		_a     (							SCREAMING_SNAKE_CASE  ):







   """simple docstring"""




   A		= VOCAB_FILES_NAMES
   A		= PRETRAINED_VOCAB_FILES_MAP
   A		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A		= ['input_ids', 'attention_mask']






   def __init__(       self    ,__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE="replace"    ,__SCREAMING_SNAKE_CASE="<|endoftext|>"    ,__SCREAMING_SNAKE_CASE="<|endoftext|>"    ,__SCREAMING_SNAKE_CASE="<|endoftext|>"    ,__SCREAMING_SNAKE_CASE=None    ,__SCREAMING_SNAKE_CASE=False    ,__SCREAMING_SNAKE_CASE=False    ,**__SCREAMING_SNAKE_CASE    ,):
    SCREAMING_SNAKE_CASE  :  Dict								=		AddedToken(__SCREAMING_SNAKE_CASE    ,lstrip=__SCREAMING_SNAKE_CASE    ,rstrip=__SCREAMING_SNAKE_CASE      ) if isinstance(__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE      ) else bos_token
    SCREAMING_SNAKE_CASE  :  Union[str, Any]								=		AddedToken(__SCREAMING_SNAKE_CASE    ,lstrip=__SCREAMING_SNAKE_CASE    ,rstrip=__SCREAMING_SNAKE_CASE      ) if isinstance(__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE      ) else eos_token
    SCREAMING_SNAKE_CASE  :  int								=		AddedToken(__SCREAMING_SNAKE_CASE    ,lstrip=__SCREAMING_SNAKE_CASE    ,rstrip=__SCREAMING_SNAKE_CASE      ) if isinstance(__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE      ) else unk_token
    SCREAMING_SNAKE_CASE  :  List[Any]								=		AddedToken(__SCREAMING_SNAKE_CASE    ,lstrip=__SCREAMING_SNAKE_CASE    ,rstrip=__SCREAMING_SNAKE_CASE      ) if isinstance(__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE      ) else pad_token
    super().__init__(
        errors=__SCREAMING_SNAKE_CASE    ,unk_token=__SCREAMING_SNAKE_CASE    ,bos_token=__SCREAMING_SNAKE_CASE    ,eos_token=__SCREAMING_SNAKE_CASE    ,pad_token=__SCREAMING_SNAKE_CASE    ,add_prefix_space=__SCREAMING_SNAKE_CASE    ,add_bos_token=__SCREAMING_SNAKE_CASE    ,**__SCREAMING_SNAKE_CASE    ,)
    SCREAMING_SNAKE_CASE  :  Any								=		add_bos_token

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

    # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
    SCREAMING_SNAKE_CASE  :  Optional[int]								=		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      ):
    return len(self.encoder      )






   def 					__a			(       self      ):
    return dict(self.encoder    ,**self.added_tokens_encoder      )






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE      ):
    if token in self.cache:
     return self.cache[token]
    SCREAMING_SNAKE_CASE  :  Optional[Any]								=		tuple(__SCREAMING_SNAKE_CASE      )
    SCREAMING_SNAKE_CASE  :  Dict								=		get_pairs(__SCREAMING_SNAKE_CASE      )

    if not pairs:
     return token

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

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






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE=None      ):
    if self.add_bos_token:
     SCREAMING_SNAKE_CASE  :  str								=		[self.bos_token_id]
    else:
     SCREAMING_SNAKE_CASE  :  Any								=		[]

    SCREAMING_SNAKE_CASE  :  List[str]								=		bos_token_ids + token_ids_a

    if token_ids_a is None:
     return output

    return output + bos_token_ids + token_ids_a






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE = None    ,__SCREAMING_SNAKE_CASE = False      ):
    if already_has_special_tokens:
     return super().get_special_tokens_mask(
         token_ids_a=__SCREAMING_SNAKE_CASE    ,token_ids_a=__SCREAMING_SNAKE_CASE    ,already_has_special_tokens=__SCREAMING_SNAKE_CASE      )

    if not self.add_bos_token:
     return super().get_special_tokens_mask(
         token_ids_a=__SCREAMING_SNAKE_CASE    ,token_ids_a=__SCREAMING_SNAKE_CASE    ,already_has_special_tokens=__SCREAMING_SNAKE_CASE      )

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






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE      ):
    SCREAMING_SNAKE_CASE  :  int								=		[]
    for token in re.findall(self.pat    ,__SCREAMING_SNAKE_CASE      ):
     SCREAMING_SNAKE_CASE  :  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(__SCREAMING_SNAKE_CASE      ).split(' '      )      )
    return bpe_tokens






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE      ):
    return self.encoder.get(__SCREAMING_SNAKE_CASE    ,self.encoder.get(self.unk_token      )      )






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE      ):
    return self.decoder.get(__SCREAMING_SNAKE_CASE      )






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE      ):
    SCREAMING_SNAKE_CASE  :  Any								=		''.join(__SCREAMING_SNAKE_CASE      )
    SCREAMING_SNAKE_CASE  :  Dict								=		bytearray([self.byte_decoder[c] for c in text]      ).decode('utf-8'    ,errors=self.errors      )
    return text






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE = None      ):
    if not os.path.isdir(__SCREAMING_SNAKE_CASE      ):
     logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""      )
     return
    SCREAMING_SNAKE_CASE  :  Tuple								=		os.path.join(
        __SCREAMING_SNAKE_CASE    ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
    SCREAMING_SNAKE_CASE  :  Optional[Any]								=		os.path.join(
        __SCREAMING_SNAKE_CASE    ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']      )

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

    SCREAMING_SNAKE_CASE  :  List[Any]								=		0
    with open(__SCREAMING_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 __SCREAMING_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!'      )
       SCREAMING_SNAKE_CASE  :  Any								=		token_index
      writer.write(' '.join(__SCREAMING_SNAKE_CASE      ) + '\n'      )
      index += 1

    return vocab_file, merge_file






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE=False    ,**__SCREAMING_SNAKE_CASE      ):
    SCREAMING_SNAKE_CASE  :  Tuple								=		kwargs.pop('add_prefix_space'    ,self.add_prefix_space      )
    if is_split_into_words or add_prefix_space:
     SCREAMING_SNAKE_CASE  :  List[str]								=		' ' + text
    return (text, kwargs)






   def 					__a			(       self    ,__SCREAMING_SNAKE_CASE      ):
    SCREAMING_SNAKE_CASE  :  int								=		[]
    for is_user, text in conversation.iter_texts():
     input_ids.extend(self.encode(__SCREAMING_SNAKE_CASE    ,add_special_tokens=__SCREAMING_SNAKE_CASE      ) + [self.eos_token_id]      )
    if len(__SCREAMING_SNAKE_CASE      ) > self.model_max_length:
     SCREAMING_SNAKE_CASE  :  Any								=		input_ids[-self.model_max_length :]
    return input_ids




'''simple docstring'''

import random
import sys

__UpperCAmelCase												=   'ABCDEFGHIJKLMNOPQRSTUVWXYZ'



def        SCREAMING_SNAKE_CASE_  (	)       ->	None:
 SCREAMING_SNAKE_CASE  :  Dict								=		input('Enter message: '							)
 SCREAMING_SNAKE_CASE  :  Dict								=		'LFWOAYUISVKMNXPBDCRJTQEGHZ'
 SCREAMING_SNAKE_CASE  :  Tuple								=		input('Encrypt/Decrypt [e/d]: '							)

 check_valid_key(snake_case_							)

 if resp.lower().startswith('e'							):
  SCREAMING_SNAKE_CASE  :  str								=		'encrypt'
  SCREAMING_SNAKE_CASE  :  Optional[Any]								=		encrypt_message(snake_case_   ,     snake_case_							)
 elif resp.lower().startswith('d'							):
  SCREAMING_SNAKE_CASE  :  List[Any]								=		'decrypt'
  SCREAMING_SNAKE_CASE  :  List[str]								=		decrypt_message(snake_case_   ,     snake_case_							)

 print(f"""\n{mode.title()}ion: \n{translated}"""							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str							)       ->	None:
 SCREAMING_SNAKE_CASE  :  int								=		list(snake_case_							)
 SCREAMING_SNAKE_CASE  :  Optional[Any]								=		list(snake_case_							)
 key_list.sort()
 letters_list.sort()

 if key_list != letters_list:
  sys.exit('Error in the key or symbol set.'							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str   ,     snake_case_				:	str							)       ->	str:
 return translate_message(snake_case_   ,     snake_case_   ,     'encrypt'							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str   ,     snake_case_				:	str							)       ->	str:
 return translate_message(snake_case_   ,     snake_case_   ,     'decrypt'							)



def        SCREAMING_SNAKE_CASE_  (	snake_case_				:	str   ,     snake_case_				:	str   ,     snake_case_				:	str							)       ->	str:
 SCREAMING_SNAKE_CASE  :  Any								=		''
 SCREAMING_SNAKE_CASE  :  Optional[Any]								=		LETTERS
 SCREAMING_SNAKE_CASE  :  List[Any]								=		key

 if mode == "decrypt":
  SCREAMING_SNAKE_CASE				, SCREAMING_SNAKE_CASE  :  List[Any]								=		chars_b, chars_a

 for symbol in message:
  if symbol.upper() in chars_a:
   SCREAMING_SNAKE_CASE  :  Optional[Any]								=		chars_a.find(symbol.upper()							)
   if symbol.isupper():
    translated += chars_b[sym_index].upper()
   else:
    translated += chars_b[sym_index].lower()
  else:
   translated += symbol

 return translated



def        SCREAMING_SNAKE_CASE_  (	)       ->	str:
 SCREAMING_SNAKE_CASE  :  Dict								=		list(snake_case_							)
 random.shuffle(snake_case_							)
 return "".join(snake_case_							)


if __name__ == "__main__":
   main()


