


import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowerCamelCase__							:						Tuple							     =   logging.get_logger(__name__)


lowerCamelCase__							:						str							     =   {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

lowerCamelCase__							:						List[str]							     =   {
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

lowerCamelCase__							:						str							     =   {"""facebook/blenderbot_small-90M""": 5_1_2}







def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase				)    ->				Optional[int]:
  snake_case__						= set()
  snake_case__						= word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)				)
    snake_case__						= char

  snake_case__						= set(__lowerCAmelCase				)
  return pairs


class 		__magic_name__						(snake_case_				):





     '''simple docstring'''



     __lowercase				:							Tuple	   =       VOCAB_FILES_NAMES
     __lowercase				:							Optional[int]	   =       PRETRAINED_VOCAB_FILES_MAP
     __lowercase				:							List[str]	   =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __lowercase				:							Union[str, Any]	   =       ['input_ids', 'attention_mask']

     def __init__(					self:Dict     ,		_a:List[Any]     ,		_a:List[Any]     ,		_a:Dict="__start__"     ,		_a:Optional[Any]="__end__"     ,		_a:Tuple="__unk__"     ,		_a:int="__null__"     ,		**_a:Optional[Any]     ,		):
       super().__init__(unk_token=_a     ,		bos_token=_a     ,		eos_token=_a     ,		pad_token=_a     ,		**_a   )

       with open(_a     ,		encoding='''utf-8'''   ) as vocab_handle:
         snake_case__						= json.load(_a   )
       snake_case__						= {v: k for k, v in self.encoder.items()}
       with open(_a     ,		encoding='''utf-8'''   ) as merges_handle:
         snake_case__						= merges_handle.read().split('''\n'''   )[1:-1]
       snake_case__						= [tuple(merge.split()   ) for merge in merges]
       snake_case__						= dict(zip(_a     ,		range(len(_a   )   )   )   )
       snake_case__						= {}

     @property
     def 	SCREAMING_SNAKE_CASE__						(					self:Union[str, Any]   ):
       return len(self.encoder   )

     def 	SCREAMING_SNAKE_CASE__						(					self:List[Any]   ):
       return dict(self.encoder     ,		**self.added_tokens_encoder   )

     def 	SCREAMING_SNAKE_CASE__						(					self:Any     ,		_a:str   ):
       if token in self.cache:
         return self.cache[token]
       snake_case__						= re.sub('''([.,!?()])'''     ,		r''' \1'''     ,		_a   )
       snake_case__						= re.sub('''(\')'''     ,		r''' \1 '''     ,		_a   )
       snake_case__						= re.sub(r'''\s{2,}'''     ,		''' '''     ,		_a   )
       if "\n" in token:
         snake_case__						= token.replace('''\n'''     ,		''' __newln__'''   )

       snake_case__						= token.split(''' '''   )
       snake_case__						= []
       for token in tokens:
         if not len(_a   ):
           continue

         snake_case__						= token.lower()
         snake_case__						= tuple(_a   )
         snake_case__						= tuple(list(word[:-1]   ) + [word[-1] + '''</w>''']   )
         snake_case__						= get_pairs(_a   )

         if not pairs:
           words.append(_a   )
           continue

         while True:
           snake_case__						= min(_a     ,		key=lambda _a   : self.bpe_ranks.get(_a     ,		float('''inf'''   )   )   )
           if bigram not in self.bpe_ranks:
             break
           snake_case__				,				snake_case__						= bigram
           snake_case__						= []
           snake_case__						= 0

           while i < len(_a   ):
             try:
               snake_case__						= word.index(_a     ,		_a   )
               new_word.extend(word[i:j]   )
               snake_case__						= j
             except ValueError:
               new_word.extend(word[i:]   )
               break

             if word[i] == first and i < len(_a   ) - 1 and word[i + 1] == second:
               new_word.append(first + second   )
               i += 2
             else:
               new_word.append(word[i]   )
               i += 1
           snake_case__						= tuple(_a   )
           snake_case__						= new_word
           if len(_a   ) == 1:
             break
           else:
             snake_case__						= get_pairs(_a   )
         snake_case__						= '''@@ '''.join(_a   )
         snake_case__						= word[:-4]

         snake_case__						= word
         words.append(_a   )
       return " ".join(_a   )

     def 	SCREAMING_SNAKE_CASE__						(					self:Union[str, Any]     ,		_a:str   ):
       snake_case__						= []

       snake_case__						= re.findall(r'''\S+\n?'''     ,		_a   )

       for token in words:
         split_tokens.extend(list(self.bpe(_a   ).split(''' '''   )   )   )
       return split_tokens

     def 	SCREAMING_SNAKE_CASE__						(					self:Union[str, Any]     ,		_a:str   ):
       snake_case__						= token.lower()
       return self.encoder.get(_a     ,		self.encoder.get(self.unk_token   )   )

     def 	SCREAMING_SNAKE_CASE__						(					self:List[Any]     ,		_a:int   ):
       return self.decoder.get(_a     ,		self.unk_token   )

     def 	SCREAMING_SNAKE_CASE__						(					self:str     ,		_a:List[str]   ):
       snake_case__						= ''' '''.join(_a   ).replace('''@@ '''     ,		''''''   ).strip()
       return out_string







     def 	SCREAMING_SNAKE_CASE__						(					self:Union[str, Any]     ,		_a:str     ,		_a:Optional[str] = None   ):
       if not os.path.isdir(_a   ):
         logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""   )
         return
       snake_case__						= os.path.join(
           _a     ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )
       snake_case__						= os.path.join(
           _a     ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']   )

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

       snake_case__						= 0
       with open(_a     ,		'''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 _a   : 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!'''   )
             snake_case__						= token_index
           writer.write(''' '''.join(_a   ) + '''\n'''   )
           index += 1

       return vocab_file, merge_file









def       _SCREAMING_SNAKE_CASE    (			__lowercase :      str     )    ->   str:





    """simple docstring"""

    __A       =						""""""
    for ch in key:
        if ch == " " or ch not in key_no_dups and ch.isalpha():
            key_no_dups += ch
    return key_no_dups



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      str     )    ->   dict[str, str]:





    """simple docstring"""

    __A       =						[chr(i + 6_5     ) for i in range(2_6     )]
    # Remove duplicate characters from key
    __A       =						remove_duplicates(key.upper()     )
    __A       =						len(__lowercase     )
    # First fill cipher with key characters
    __A       =						{alphabet[i]: char for i, char in enumerate(__lowercase     )}
    # Then map remaining characters in alphabet to
    # the alphabet from the beginning
    for i in range(len(__lowercase     )      ,					2_6     ):
        __A       =						alphabet[i - offset]
        # Ensure we are not mapping letters to letters previously mapped
        while char in key:
            offset -= 1
            __A       =						alphabet[i - offset]
        __A       =						char
    return cipher_alphabet



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      str      ,					__lowercase :      dict[str, str]     )    ->   str:





    """simple docstring"""

    return "".join(cipher_map.get(__lowercase      ,					__lowercase     ) for ch in message.upper()     )



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      str      ,					__lowercase :      dict[str, str]     )    ->   str:





    """simple docstring"""

    __A       =						{v: k for k, v in cipher_map.items()}
    return "".join(rev_cipher_map.get(__lowercase      ,					__lowercase     ) for ch in message.upper()     )



def       _SCREAMING_SNAKE_CASE    (			)    ->   None:





    """simple docstring"""

    __A       =						input("""Enter message to encode or decode: """     ).strip()
    __A       =						input("""Enter keyword: """     ).strip()
    __A       =						input("""Encipher or decipher? E/D:"""     ).strip()[0].lower()
    try:
        __A       =						{"""e""": encipher, """d""": decipher}[option]
    except KeyError:
        raise KeyError("""invalid input option"""     )
    __A       =						create_cipher_map(__lowercase     )
    print(func(__lowercase      ,					__lowercase     )     )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()




