


'''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				:  Optional[Any]      					=							logging.get_logger(__name__)


__UpperCamelCase				:  int      					=							{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

__UpperCamelCase				:  Optional[Any]      					=							{
    'vocab_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json'},
    'merges_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt'},
    'tokenizer_config_file': {
        'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json'
    },
}

__UpperCamelCase				:  List[str]      					=							{'facebook/blenderbot-3B': 128}
@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def      snake_case_						( ):
   UpperCAmelCase_							:      Union[str, Any]						=   (
       list(range(ord('''!'''       )			,       ord('''~'''       ) + 1       )       ) + list(range(ord('''¡'''       )			,       ord('''¬'''       ) + 1       )       ) + list(range(ord('''®'''       )			,       ord('''ÿ'''       ) + 1       )       )
   )
   UpperCAmelCase_							:      Any						=   bs[:]
   UpperCAmelCase_							:      List[Any]						=   0
   for b in range(2**8       ):
      if b not in bs:
         bs.append(__lowercase       )
         cs.append(2**8 + n       )
         n += 1
   UpperCAmelCase_							:      str						=   [chr(__lowercase       ) for n in cs]
   return dict(zip(__lowercase			,       __lowercase       )       )
def      snake_case_						( __lowercase       ):
   UpperCAmelCase_							:      Optional[int]						=   set()
   UpperCAmelCase_							:      Any						=   word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)       )
      UpperCAmelCase_							:      Union[str, Any]						=   char
   return pairs





class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''





    A_  :     List[Any]			= VOCAB_FILES_NAMES
    A_  :     Any			= PRETRAINED_VOCAB_FILES_MAP
    A_  :     Any			= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    A_  :     int			= ['input_ids', 'attention_mask']





    def __init__(	self				:   Optional[int]       ,   __snake_case				:   Any       ,   __snake_case				:   Tuple       ,   __snake_case				:   List[Any]="replace"       ,   __snake_case				:   Union[str, Any]="<s>"       ,   __snake_case				:   Tuple="</s>"       ,   __snake_case				:   Tuple="</s>"       ,   __snake_case				:   Optional[int]="<s>"       ,   __snake_case				:   int="<unk>"       ,   __snake_case				:   List[Any]="<pad>"       ,   __snake_case				:   Tuple="<mask>"       ,   __snake_case				:   Any=False       ,   **__snake_case				:   Dict       ,   ):





       '''simple docstring'''
       UpperCAmelCase_							:      Tuple						=   AddedToken(__snake_case       ,   lstrip=__snake_case       ,   rstrip=__snake_case	) if isinstance(__snake_case       ,   __snake_case	) else bos_token
       UpperCAmelCase_							:      str						=   AddedToken(__snake_case       ,   lstrip=__snake_case       ,   rstrip=__snake_case	) if isinstance(__snake_case       ,   __snake_case	) else eos_token
       UpperCAmelCase_							:      List[str]						=   AddedToken(__snake_case       ,   lstrip=__snake_case       ,   rstrip=__snake_case	) if isinstance(__snake_case       ,   __snake_case	) else sep_token
       UpperCAmelCase_							:      Dict						=   AddedToken(__snake_case       ,   lstrip=__snake_case       ,   rstrip=__snake_case	) if isinstance(__snake_case       ,   __snake_case	) else cls_token
       UpperCAmelCase_							:      int						=   AddedToken(__snake_case       ,   lstrip=__snake_case       ,   rstrip=__snake_case	) if isinstance(__snake_case       ,   __snake_case	) else unk_token
       UpperCAmelCase_							:      int						=   AddedToken(__snake_case       ,   lstrip=__snake_case       ,   rstrip=__snake_case	) if isinstance(__snake_case       ,   __snake_case	) else pad_token

       # Mask token behave like a normal word, i.e. include the space before it
       UpperCAmelCase_							:      List[Any]						=   AddedToken(__snake_case       ,   lstrip=__snake_case       ,   rstrip=__snake_case	) if isinstance(__snake_case       ,   __snake_case	) else mask_token

       super().__init__(
           errors=__snake_case       ,   bos_token=__snake_case       ,   eos_token=__snake_case       ,   unk_token=__snake_case       ,   sep_token=__snake_case       ,   cls_token=__snake_case       ,   pad_token=__snake_case       ,   mask_token=__snake_case       ,   add_prefix_space=__snake_case       ,   **__snake_case       ,   )

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

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       UpperCAmelCase_							:      Optional[Any]						=   re.compile(R'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''	)





    @property
    # Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
    def 					_lowerCamelCase (	self				:   Any	):





       '''simple docstring'''
       return len(self.encoder	)





    def 					_lowerCamelCase (	self				:   int	):





       '''simple docstring'''
       return dict(self.encoder       ,   **self.added_tokens_encoder	)





    def 					_lowerCamelCase (	self				:   str       ,   __snake_case				:   Dict	):





       '''simple docstring'''
       if token in self.cache:
          return self.cache[token]
       UpperCAmelCase_							:      Optional[Any]						=   tuple(__snake_case	)
       UpperCAmelCase_							:      Optional[int]						=   get_pairs(__snake_case	)

       if not pairs:
          return token

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

             if word[i] == first and i < len(__snake_case	) - 1 and word[i + 1] == second:
                new_word.append(first + second	)
                i += 2
             else:
                new_word.append(word[i]	)
                i += 1
          UpperCAmelCase_							:      List[Any]						=   tuple(__snake_case	)
          UpperCAmelCase_							:      str						=   new_word
          if len(__snake_case	) == 1:
             break
          else:
             UpperCAmelCase_							:      Optional[int]						=   get_pairs(__snake_case	)
       UpperCAmelCase_							:      Any						=   ''' '''.join(__snake_case	)
       UpperCAmelCase_							:      str						=   word
       return word





    def 					_lowerCamelCase (	self				:   List[str]       ,   __snake_case				:   Any	):





       '''simple docstring'''
       UpperCAmelCase_							:      str						=   []
       for token in re.findall(self.pat       ,   __snake_case	):
          UpperCAmelCase_							:      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(__snake_case	).split(''' '''	)	)
       return bpe_tokens





    def 					_lowerCamelCase (	self				:   List[Any]       ,   __snake_case				:   List[Any]	):





       '''simple docstring'''
       return self.encoder.get(__snake_case       ,   self.encoder.get(self.unk_token	)	)





    def 					_lowerCamelCase (	self				:   List[str]       ,   __snake_case				:   str	):





       '''simple docstring'''
       return self.decoder.get(__snake_case	)





    def 					_lowerCamelCase (	self				:   Optional[Any]       ,   __snake_case				:   Optional[Any]	):





       '''simple docstring'''
       UpperCAmelCase_							:      str						=   ''''''.join(__snake_case	)
       UpperCAmelCase_							:      int						=   bytearray([self.byte_decoder[c] for c in text]	).decode('''utf-8'''       ,   errors=self.errors	)
       return text





    def 					_lowerCamelCase (	self				:   int       ,   __snake_case				:   str       ,   __snake_case				:   Optional[str] = None	):





       '''simple docstring'''
       if not os.path.isdir(__snake_case	):
          logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''	)
          return
       UpperCAmelCase_							:      int						=   os.path.join(
           __snake_case       ,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']	)
       UpperCAmelCase_							:      Dict						=   os.path.join(
           __snake_case       ,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']	)

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

       UpperCAmelCase_							:      Optional[int]						=   0
       with open(__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 __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!'''	)
                UpperCAmelCase_							:      Optional[Any]						=   token_index
             writer.write(''' '''.join(__snake_case	) + '''\n'''	)
             index += 1

       return vocab_file, merge_file





    def 					_lowerCamelCase (	self				:   Optional[int]       ,   __snake_case				:   List[int]       ,   __snake_case				:   Optional[List[int]] = None       ,   __snake_case				:   bool = False	):





       '''simple docstring'''
       if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=__snake_case       ,   token_ids_a=__snake_case       ,   already_has_special_tokens=__snake_case	)

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





    def 					_lowerCamelCase (	self				:   List[str]       ,   __snake_case				:   List[int]       ,   __snake_case				:   Optional[List[int]] = None	):





       '''simple docstring'''
       UpperCAmelCase_							:      List[str]						=   [self.sep_token_id]
       UpperCAmelCase_							:      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 					_lowerCamelCase (	self				:   List[Any]       ,   __snake_case				:   Optional[int]       ,   __snake_case				:   Any=False       ,   **__snake_case				:   Any	):





       '''simple docstring'''
       UpperCAmelCase_							:      List[Any]						=   kwargs.pop('''add_prefix_space'''       ,   self.add_prefix_space	)
       if (is_split_into_words or add_prefix_space) and (len(__snake_case	) > 0 and not text[0].isspace()):
          UpperCAmelCase_							:      Dict						=   ''' ''' + text
       return (text, kwargs)





    def 					_lowerCamelCase (	self				:   Union[str, Any]       ,   __snake_case				:   List[int]       ,   __snake_case				:   Optional[List[int]] = None	):





       '''simple docstring'''
       return token_ids_a + [self.eos_token_id]





    def 					_lowerCamelCase (	self				:   List[Any]       ,   __snake_case				:   "Conversation"	):





       '''simple docstring'''
       UpperCAmelCase_							:      Union[str, Any]						=   []
       for is_user, text in conversation.iter_texts():
          if is_user:
             # We need to space prefix as it's being done within blenderbot
             inputs.append(''' ''' + text	)
          else:
             # Generated responses should contain them already.
             inputs.append(__snake_case	)

       UpperCAmelCase_							:      List[str]						=   '''  '''.join(__snake_case	)
       UpperCAmelCase_							:      Any						=   self.encode(__snake_case	)
       if len(__snake_case	) > self.model_max_length:
          UpperCAmelCase_							:      Dict						=   input_ids[-self.model_max_length :]
          logger.warning(f'''Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'''	)
       return input_ids



def      snake_case_						( __lowercase       ):
   return " ".join(
       ''''''.join(word[::-1]       ) if len(__lowercase       ) > 4 else word for word in sentence.split()       )


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       print(reverse_long_words('Hey wollef sroirraw'))