
"""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

__lowercase						:     Optional[int]							      =		logging.get_logger(__name__)


__lowercase						:     Dict							      =		{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

__lowercase						:     int							      =		{
    """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"""
    },
}

__lowercase						:     int							      =		{"""facebook/blenderbot-3B""": 1_2_8}


@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def lowerCamelCase_				(     ):
       lowerCamelCase_       							=		(
           list(range(ord('''!'''				)					,				ord('''~'''				) + 1				)				) + list(range(ord('''¡'''				)					,				ord('''¬'''				) + 1				)				) + list(range(ord('''®'''				)					,				ord('''ÿ'''				) + 1				)				)
       )
       lowerCamelCase_       							=		bs[:]
       lowerCamelCase_       							=		0
       for b in range(2**8				):
              if b not in bs:
                     bs.append(SCREAMING_SNAKE_CASE__				)
                     cs.append(2**8 + n				)
                     n += 1
       lowerCamelCase_       							=		[chr(SCREAMING_SNAKE_CASE__				) for n in cs]
       return dict(zip(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__				)				)


def lowerCamelCase_				(     _lowerCamelCase			:	int				):
       lowerCamelCase_       							=		set()
       lowerCamelCase_       							=		word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)				)
              lowerCamelCase_       							=		char
       return pairs





class 					lowerCAmelCase			(				UpperCamelCase_					):
     """simple docstring"""







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




     def __init__(      self ,		UpperCamelCase__ ,		UpperCamelCase__ ,		UpperCamelCase__="replace" ,		UpperCamelCase__="<s>" ,		UpperCamelCase__="</s>" ,		UpperCamelCase__="</s>" ,		UpperCamelCase__="<s>" ,		UpperCamelCase__="<unk>" ,		UpperCamelCase__="<pad>" ,		UpperCamelCase__="<mask>" ,		UpperCamelCase__=False ,		**UpperCamelCase__ ,		)					->  Any:







            '''simple docstring'''





            lowerCamelCase_       							=		AddedToken(lowercase_ ,		lstrip=lowercase_ ,		rstrip=lowercase_							) if isinstance(lowercase_ ,		lowercase_							) else bos_token
            lowerCamelCase_       							=		AddedToken(lowercase_ ,		lstrip=lowercase_ ,		rstrip=lowercase_							) if isinstance(lowercase_ ,		lowercase_							) else eos_token
            lowerCamelCase_       							=		AddedToken(lowercase_ ,		lstrip=lowercase_ ,		rstrip=lowercase_							) if isinstance(lowercase_ ,		lowercase_							) else sep_token
            lowerCamelCase_       							=		AddedToken(lowercase_ ,		lstrip=lowercase_ ,		rstrip=lowercase_							) if isinstance(lowercase_ ,		lowercase_							) else cls_token
            lowerCamelCase_       							=		AddedToken(lowercase_ ,		lstrip=lowercase_ ,		rstrip=lowercase_							) if isinstance(lowercase_ ,		lowercase_							) else unk_token
            lowerCamelCase_       							=		AddedToken(lowercase_ ,		lstrip=lowercase_ ,		rstrip=lowercase_							) if isinstance(lowercase_ ,		lowercase_							) else pad_token

            # Mask token behave like a normal word, i.e. include the space before it
            lowerCamelCase_       							=		AddedToken(lowercase_ ,		lstrip=lowercase_ ,		rstrip=lowercase_							) if isinstance(lowercase_ ,		lowercase_							) else mask_token

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

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

            # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
            lowerCamelCase_       							=		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							)					->  List[str]:







            '''simple docstring'''





            return dict(self.encoder ,		**self.added_tokens_encoder							)




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__							)					->  Union[str, Any]:







            '''simple docstring'''





            if token in self.cache:
                   return self.cache[token]
            lowerCamelCase_       							=		tuple(lowercase_							)
            lowerCamelCase_       							=		get_pairs(lowercase_							)

            if not pairs:
                   return token

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

                          if word[i] == first and i < len(lowercase_							) - 1 and word[i + 1] == second:
                                 new_word.append(first + second							)
                                 i += 2
                          else:
                                 new_word.append(word[i]							)
                                 i += 1
                   lowerCamelCase_       							=		tuple(lowercase_							)
                   lowerCamelCase_       							=		new_word
                   if len(lowercase_							) == 1:
                          break
                   else:
                          lowerCamelCase_       							=		get_pairs(lowercase_							)
            lowerCamelCase_       							=		' '.join(lowercase_							)
            lowerCamelCase_       							=		word
            return word




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__							)					->  Any:







            '''simple docstring'''





            lowerCamelCase_       							=		[]
            for token in re.findall(self.pat ,		lowercase_							):
                   lowerCamelCase_       							=		''.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(lowercase_							).split(''' '''							)							)
            return bpe_tokens




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__							)					->  int:







            '''simple docstring'''





            return self.encoder.get(lowercase_ ,		self.encoder.get(self.unk_token							)							)




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__							)					->  Dict:







            '''simple docstring'''





            return self.decoder.get(lowercase_							)




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__							)					->  Optional[int]:







            '''simple docstring'''





            lowerCamelCase_       							=		''.join(lowercase_							)
            lowerCamelCase_       							=		bytearray([self.byte_decoder[c] for c in text]							).decode('''utf-8''' ,		errors=self.errors							)
            return text




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__ ,		UpperCamelCase__ = None							)					->  Tuple[str]:







            '''simple docstring'''





            if not os.path.isdir(lowercase_							):
                   logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""							)
                   return
            lowerCamelCase_       							=		os.path.join(
                lowercase_ ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)
            lowerCamelCase_       							=		os.path.join(
                lowercase_ ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']							)

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

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

            return vocab_file, merge_file




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__ ,		UpperCamelCase__ = None ,		UpperCamelCase__ = False							)					->  List[int]:







            '''simple docstring'''





            if already_has_special_tokens:
                   return super().get_special_tokens_mask(
                       token_ids_a=lowercase_ ,		token_ids_a=lowercase_ ,		already_has_special_tokens=lowercase_							)

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




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__ ,		UpperCamelCase__ = None							)					->  List[int]:







            '''simple docstring'''





            lowerCamelCase_       							=		[self.sep_token_id]
            lowerCamelCase_       							=		[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 ,		UpperCamelCase__ ,		UpperCamelCase__=False ,		**UpperCamelCase__							)					->  Tuple:







            '''simple docstring'''





            lowerCamelCase_       							=		kwargs.pop('''add_prefix_space''' ,		self.add_prefix_space							)
            if (is_split_into_words or add_prefix_space) and (len(lowercase_							) > 0 and not text[0].isspace()):
                   lowerCamelCase_       							=		' ' + text
            return (text, kwargs)




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__ ,		UpperCamelCase__ = None							)					->  Tuple:







            '''simple docstring'''





            return token_ids_a + [self.eos_token_id]




     def    _lowerCAmelCase		(      self ,		UpperCamelCase__							)					->  List[int]:







            '''simple docstring'''





            lowerCamelCase_       							=		[]
            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(lowercase_							)

            lowerCamelCase_       							=		'  '.join(lowercase_							)
            lowerCamelCase_       							=		self.encode(lowercase_							)
            if len(lowercase_							) > self.model_max_length:
                   lowerCamelCase_       							=		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       a_ (       SCREAMING_SNAKE_CASE__   : bytes	):
       '''simple docstring'''





       return "".join([hex(SCREAMING_SNAKE_CASE__	)[2:].zfill(2	).upper() for byte in list(SCREAMING_SNAKE_CASE__	)]	)




def       a_ (       SCREAMING_SNAKE_CASE__   : str	):
       '''simple docstring'''





       if (len(SCREAMING_SNAKE_CASE__	) % 2) != 0:
              raise ValueError(
                  'Base16 encoded data is invalid:\nData does not have an even number of hex digits.'	)
       # Check the character set - the standard base16 alphabet
       # is uppercase according to RFC3548 section 6
       if not set(SCREAMING_SNAKE_CASE__	) <= set('0123456789ABCDEF'	):
              raise ValueError(
                  'Base16 encoded data is invalid:\nData is not uppercase hex or it contains invalid characters.'	)
       # For every two hexadecimal digits (= a byte), turn it into an integer.
       # Then, string the result together into bytes, and return it.
       return bytes(int(data[i] + data[i + 1]						,     16	) for i in range(0						,     len(SCREAMING_SNAKE_CASE__	)						,     2	)	)


if __name__ == "__main__":
 import doctest

 doctest.testmod()


