


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

__lowerCAmelCase		       =							logging.get_logger(__name__)


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

__lowerCAmelCase		       =							{
    '''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'''
    },
}

__lowerCAmelCase		       =							{'''facebook/blenderbot-3B''': 1_28}




@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def    snake_case_     (  )  ->				Optional[Any]:
       lowercase__:   List[str]  			=   (
           list(range(ord('!'     )			,							ord('~'     ) + 1     )     ) + list(range(ord('¡'     )			,							ord('¬'     ) + 1     )     ) + list(range(ord('®'     )			,							ord('ÿ'     ) + 1     )     )
       )
       lowercase__:   Tuple  			=   bs[:]
       lowercase__:   int  			=   0
       for b in range(2**8     ):
              if b not in bs:
                     bs.append(snake_case     )
                     cs.append(2**8 + n     )
                     n += 1
       lowercase__:   Dict  			=   [chr(snake_case     ) for n in cs]
       return dict(zip(snake_case			,							snake_case     )     )




def    snake_case_     (  snake_case     )  ->				Optional[Any]:
       lowercase__:   str  			=   set()
       lowercase__:   str  			=   word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)     )
              lowercase__:   int  			=   char
       return pairs





class   __a			(    __UpperCamelCase      ):
 __lowercase :							str        = VOCAB_FILES_NAMES
 __lowercase :							List[Any]        = PRETRAINED_VOCAB_FILES_MAP
 __lowercase :							Any        = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowercase :							List[str]        = ['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__				, )					->				Optional[Any]:




        '''simple docstring'''
        lowercase__:   Optional[int]  			=   AddedToken(lowerCAmelCase__				, lstrip=lowerCAmelCase__				, rstrip=lowerCAmelCase__ ) if isinstance(lowerCAmelCase__				, lowerCAmelCase__ ) else bos_token
        lowercase__:   List[str]  			=   AddedToken(lowerCAmelCase__				, lstrip=lowerCAmelCase__				, rstrip=lowerCAmelCase__ ) if isinstance(lowerCAmelCase__				, lowerCAmelCase__ ) else eos_token
        lowercase__:   Optional[int]  			=   AddedToken(lowerCAmelCase__				, lstrip=lowerCAmelCase__				, rstrip=lowerCAmelCase__ ) if isinstance(lowerCAmelCase__				, lowerCAmelCase__ ) else sep_token
        lowercase__:   int  			=   AddedToken(lowerCAmelCase__				, lstrip=lowerCAmelCase__				, rstrip=lowerCAmelCase__ ) if isinstance(lowerCAmelCase__				, lowerCAmelCase__ ) else cls_token
        lowercase__:   Optional[int]  			=   AddedToken(lowerCAmelCase__				, lstrip=lowerCAmelCase__				, rstrip=lowerCAmelCase__ ) if isinstance(lowerCAmelCase__				, lowerCAmelCase__ ) else unk_token
        lowercase__:   Optional[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
        lowercase__:   Union[str, Any]  			=   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:
               lowercase__:   Optional[int]  			=   json.load(lowerCAmelCase__ )
        lowercase__:   List[Any]  			=   {v: k for k, v in self.encoder.items()}
        lowercase__:   Any  			=   errors  # how to handle errors in decoding
        lowercase__:   Dict  			=   bytes_to_unicode()
        lowercase__:   Any  			=   {v: k for k, v in self.byte_encoder.items()}
        with open(lowerCAmelCase__				, encoding='utf-8' ) as merges_handle:
               lowercase__:   Optional[Any]  			=   merges_handle.read().split('\n' )[1:-1]
        lowercase__:   int  			=   [tuple(merge.split() ) for merge in bpe_merges]
        lowercase__:   Tuple  			=   dict(zip(lowerCAmelCase__				, range(len(lowerCAmelCase__ ) ) ) )
        lowercase__:   Optional[int]  			=   {}
        lowercase__:   Union[str, Any]  			=   add_prefix_space

        # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
        lowercase__:   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 		SCREAMING_SNAKE_CASE__   (   self )					->				List[Any]:




        '''simple docstring'''
        return len(self.encoder )
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				str:




        '''simple docstring'''
        return dict(self.encoder				, **self.added_tokens_encoder )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				List[str]:




        '''simple docstring'''
        if token in self.cache:
               return self.cache[token]
        lowercase__:   int  			=   tuple(lowerCAmelCase__ )
        lowercase__:   str  			=   get_pairs(lowerCAmelCase__ )

        if not pairs:
               return token

        while True:
               lowercase__:   Tuple  			=   min(lowerCAmelCase__				, key=lambda lowerCAmelCase__ : self.bpe_ranks.get(lowerCAmelCase__				, float('inf' ) ) )
               if bigram not in self.bpe_ranks:
                      break
               lowercase__			,						lowercase__:   Union[str, Any]  			=   bigram
               lowercase__:   List[str]  			=   []
               lowercase__:   Optional[int]  			=   0
               while i < len(lowerCAmelCase__ ):
                      try:
                             lowercase__:   str  			=   word.index(lowerCAmelCase__				, lowerCAmelCase__ )
                      except ValueError:
                             new_word.extend(word[i:] )
                             break
                      else:
                             new_word.extend(word[i:j] )
                             lowercase__:   List[Any]  			=   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
               lowercase__:   Optional[Any]  			=   tuple(lowerCAmelCase__ )
               lowercase__:   Optional[Any]  			=   new_word
               if len(lowerCAmelCase__ ) == 1:
                      break
               else:
                      lowercase__:   int  			=   get_pairs(lowerCAmelCase__ )
        lowercase__:   Optional[Any]  			=   ' '.join(lowerCAmelCase__ )
        lowercase__:   Union[str, Any]  			=   word
        return word
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				Dict:




        '''simple docstring'''
        lowercase__:   Optional[int]  			=   []
        for token in re.findall(self.pat				, lowerCAmelCase__ ):
               lowercase__:   Tuple  			=   ''.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 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				List[Any]:




        '''simple docstring'''
        return self.encoder.get(lowerCAmelCase__				, self.encoder.get(self.unk_token ) )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				Union[str, Any]:




        '''simple docstring'''
        return self.decoder.get(lowerCAmelCase__ )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				int:




        '''simple docstring'''
        lowercase__:   Optional[int]  			=   ''.join(lowerCAmelCase__ )
        lowercase__:   List[Any]  			=   bytearray([self.byte_decoder[c] for c in text] ).decode('utf-8'				, errors=self.errors )
        return text
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__ = None )					->				Tuple[str]:




        '''simple docstring'''
        if not os.path.isdir(lowerCAmelCase__ ):
               logger.error(F'Vocabulary path ({save_directory}) should be a directory' )
               return
        lowercase__:   Optional[int]  			=   os.path.join(
            lowerCAmelCase__				, (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'] )
        lowercase__:   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' )

        lowercase__:   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!' )
                             lowercase__:   List[Any]  			=   token_index
                      writer.write(' '.join(lowerCAmelCase__ ) + '\n' )
                      index += 1

        return vocab_file, merge_file
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__ = None				, lowerCAmelCase__ = False )					->				List[int]:




        '''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 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__ = None )					->				List[int]:




        '''simple docstring'''
        lowercase__:   str  			=   [self.sep_token_id]
        lowercase__:   List[Any]  			=   [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 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__=False				, **lowerCAmelCase__ )					->				Dict:




        '''simple docstring'''
        lowercase__:   Optional[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()):
               lowercase__:   Union[str, Any]  			=   ' ' + text
        return (text, kwargs)
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__ = None )					->				Union[str, Any]:




        '''simple docstring'''
        return token_ids_a + [self.eos_token_id]
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				List[int]:




        '''simple docstring'''
        lowercase__:   int  			=   []
        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(lowerCAmelCase__ )

        lowercase__:   Any  			=   '  '.join(lowerCAmelCase__ )
        lowercase__:   Optional[Any]  			=   self.encode(lowerCAmelCase__ )
        if len(lowerCAmelCase__ ) > self.model_max_length:
               lowercase__:   int  			=   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_     (  snake_case			,							snake_case     )  ->				bool:
       return numa ^ numa < 0


if __name__ == "__main__":
 import doctest

 doctest.testmod()


