


"""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

snake_case__						:   int			 = logging.get_logger(__name__)


snake_case__						:   Optional[int]			 = {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

snake_case__						:   str			 = {
    '''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'''
    },
}

snake_case__						:   Optional[Any]			 = {'''facebook/blenderbot-3B''': 128}


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


def    _snake_case  (  _snake_case :	Any	):
      lowerCAmelCase    :		List[Any]				=      set()
      lowerCAmelCase    :		Union[str, Any]				=      word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)	)
            lowerCAmelCase    :		int				=      char
      return pairs






class 						snake_case_(				_a	):
     __UpperCamelCase     =    VOCAB_FILES_NAMES
     __UpperCamelCase     =    PRETRAINED_VOCAB_FILES_MAP
     __UpperCamelCase     =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __UpperCamelCase     =    ["""input_ids""", """attention_mask"""]






     def __init__(		self     :    Dict    , UpperCamelCase_     :    Tuple    , UpperCamelCase_     :    List[str]    , UpperCamelCase_     :    Dict="replace"    , UpperCamelCase_     :    Tuple="<s>"    , UpperCamelCase_     :    Any="</s>"    , UpperCamelCase_     :    List[Any]="</s>"    , UpperCamelCase_     :    str="<s>"    , UpperCamelCase_     :    Optional[Any]="<unk>"    , UpperCamelCase_     :    Optional[int]="<pad>"    , UpperCamelCase_     :    Optional[Any]="<mask>"    , UpperCamelCase_     :    Any=False    , **UpperCamelCase_     :    List[Any]    , ):
           lowerCAmelCase    :		Tuple				=      AddedToken(__UpperCAmelCase    , lstrip=__UpperCAmelCase    , rstrip=__UpperCAmelCase ) if isinstance(__UpperCAmelCase    , __UpperCAmelCase ) else bos_token
           lowerCAmelCase    :		Union[str, Any]				=      AddedToken(__UpperCAmelCase    , lstrip=__UpperCAmelCase    , rstrip=__UpperCAmelCase ) if isinstance(__UpperCAmelCase    , __UpperCAmelCase ) else eos_token
           lowerCAmelCase    :		Optional[int]				=      AddedToken(__UpperCAmelCase    , lstrip=__UpperCAmelCase    , rstrip=__UpperCAmelCase ) if isinstance(__UpperCAmelCase    , __UpperCAmelCase ) else sep_token
           lowerCAmelCase    :		Optional[int]				=      AddedToken(__UpperCAmelCase    , lstrip=__UpperCAmelCase    , rstrip=__UpperCAmelCase ) if isinstance(__UpperCAmelCase    , __UpperCAmelCase ) else cls_token
           lowerCAmelCase    :		Optional[Any]				=      AddedToken(__UpperCAmelCase    , lstrip=__UpperCAmelCase    , rstrip=__UpperCAmelCase ) if isinstance(__UpperCAmelCase    , __UpperCAmelCase ) else unk_token
           lowerCAmelCase    :		Tuple				=      AddedToken(__UpperCAmelCase    , lstrip=__UpperCAmelCase    , rstrip=__UpperCAmelCase ) if isinstance(__UpperCAmelCase    , __UpperCAmelCase ) else pad_token

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

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

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

           # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
           lowerCAmelCase    :		str				=      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     :    Tuple ):
           return len(self.encoder )






     def    lowerCamelCase__   (		self     :    Optional[Any] ):
           return dict(self.encoder    , **self.added_tokens_encoder )






     def    lowerCamelCase__   (		self     :    int    , UpperCamelCase_     :    str ):
           if token in self.cache:
                 return self.cache[token]
           lowerCAmelCase    :		str				=      tuple(__UpperCAmelCase )
           lowerCAmelCase    :		Dict				=      get_pairs(__UpperCAmelCase )

           if not pairs:
                 return token

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

                       if word[i] == first and i < len(__UpperCAmelCase ) - 1 and word[i + 1] == second:
                             new_word.append(first + second )
                             i += 2
                       else:
                             new_word.append(word[i] )
                             i += 1
                 lowerCAmelCase    :		int				=      tuple(__UpperCAmelCase )
                 lowerCAmelCase    :		List[Any]				=      new_word
                 if len(__UpperCAmelCase ) == 1:
                       break
                 else:
                       lowerCAmelCase    :		Dict				=      get_pairs(__UpperCAmelCase )
           lowerCAmelCase    :		Dict				=      " ".join(__UpperCAmelCase )
           lowerCAmelCase    :		str				=      word
           return word






     def    lowerCamelCase__   (		self     :    Optional[Any]    , UpperCamelCase_     :    Optional[Any] ):
           lowerCAmelCase    :		Optional[Any]				=      []
           for token in re.findall(self.pat    , __UpperCAmelCase ):
                 lowerCAmelCase    :		Dict				=      "".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(__UpperCAmelCase ).split(''' ''' ) )
           return bpe_tokens






     def    lowerCamelCase__   (		self     :    int    , UpperCamelCase_     :    List[Any] ):
           return self.encoder.get(__UpperCAmelCase    , self.encoder.get(self.unk_token ) )






     def    lowerCamelCase__   (		self     :    Tuple    , UpperCamelCase_     :    Union[str, Any] ):
           return self.decoder.get(__UpperCAmelCase )






     def    lowerCamelCase__   (		self     :    List[Any]    , UpperCamelCase_     :    Any ):
           lowerCAmelCase    :		Tuple				=      "".join(__UpperCAmelCase )
           lowerCAmelCase    :		Optional[Any]				=      bytearray([self.byte_decoder[c] for c in text] ).decode('''utf-8'''    , errors=self.errors )
           return text






     def    lowerCamelCase__   (		self     :    List[str]    , UpperCamelCase_     :    str    , UpperCamelCase_     :    Optional[str] = None ):
           if not os.path.isdir(__UpperCAmelCase ):
                 logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
                 return
           lowerCAmelCase    :		Dict				=      os.path.join(
               __UpperCAmelCase    , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )
           lowerCAmelCase    :		int				=      os.path.join(
               __UpperCAmelCase    , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''] )

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

           lowerCAmelCase    :		str				=      0
           with open(__UpperCAmelCase    , '''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    :		List[str]				=      token_index
                       writer.write(''' '''.join(__UpperCAmelCase ) + '''\n''' )
                       index += 1

           return vocab_file, merge_file






     def    lowerCamelCase__   (		self     :    str    , UpperCamelCase_     :    List[int]    , UpperCamelCase_     :    Optional[List[int]] = None    , UpperCamelCase_     :    bool = False ):
           if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=__UpperCAmelCase    , token_ids_a=__UpperCAmelCase    , already_has_special_tokens=__UpperCAmelCase )

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






     def    lowerCamelCase__   (		self     :    Any    , UpperCamelCase_     :    List[int]    , UpperCamelCase_     :    Optional[List[int]] = None ):
           lowerCAmelCase    :		Union[str, Any]				=      [self.sep_token_id]
           lowerCAmelCase    :		Optional[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    lowerCamelCase__   (		self     :    int    , UpperCamelCase_     :    Union[str, Any]    , UpperCamelCase_     :    Optional[Any]=False    , **UpperCamelCase_     :    List[Any] ):
           lowerCAmelCase    :		Any				=      kwargs.pop('''add_prefix_space'''    , self.add_prefix_space )
           if (is_split_into_words or add_prefix_space) and (len(__UpperCAmelCase ) > 0 and not text[0].isspace()):
                 lowerCAmelCase    :		List[Any]				=      " " + text
           return (text, kwargs)






     def    lowerCamelCase__   (		self     :    int    , UpperCamelCase_     :    List[int]    , UpperCamelCase_     :    Optional[List[int]] = None ):
           return token_ids_a + [self.eos_token_id]






     def    lowerCamelCase__   (		self     :    Union[str, Any]    , UpperCamelCase_     :    "Conversation" ):
           lowerCAmelCase    :		List[str]				=      []
           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(__UpperCAmelCase )

           lowerCAmelCase    :		Tuple				=      "  ".join(__UpperCAmelCase )
           lowerCAmelCase    :		Optional[Any]				=      self.encode(__UpperCAmelCase )
           if len(__UpperCAmelCase ) > self.model_max_length:
                 lowerCAmelCase    :		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






"""simple docstring"""







def      lowercase			(				A_       )->      str:
  '''simple docstring'''







  if isinstance(A_  ,   A_       ):
    raise TypeError("'float' object cannot be interpreted as an integer"       )
  if isinstance(A_  ,   A_       ):
    raise TypeError("'str' object cannot be interpreted as an integer"       )

  if num == 0:
    return "0b0"

  a						:		Optional[Any]      							=			False

  if num < 0:
    a						:		Tuple      							=			True
    a						:		str      							=			-num

  a						:		list[int]      							=			[]
  while num > 0:
    binary.insert(0  ,   num % 2       )
    num >>= 1

  if negative:
    return "-0b" + "".join(str(A_       ) for e in binary       )

  return "0b" + "".join(str(A_       ) for e in binary       )


if __name__ == "__main__":
 import doctest

 doctest.testmod()






