

"""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

_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_2_8}

@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 		lowerCamelCase__		(					):

    '''simple docstring'''



    _lowerCAmelCase       :   Tuple  =    (
        list(range(ord('!'   ) ,   ord('~'   ) + 1   )   ) + list(range(ord('¡'   ) ,   ord('¬'   ) + 1   )   ) + list(range(ord('®'   ) ,   ord('ÿ'   ) + 1   )   )
    )
    _lowerCAmelCase       :   Tuple  =    bs[:]
    _lowerCAmelCase       :   Dict  =    0
    for b in range(2**8   ):
        if b not in bs:
            bs.append(_lowerCamelCase   )
            cs.append(2**8 + n   )
            n += 1
    _lowerCAmelCase       :   int  =    [chr(_lowerCamelCase   ) for n in cs]
    return dict(zip(_lowerCamelCase ,   _lowerCamelCase   )   )

def 		lowerCamelCase__		(					_lowerCamelCase   ):

    '''simple docstring'''



    _lowerCAmelCase       :   Any  =    set()
    _lowerCAmelCase       :   int  =    word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)   )
        _lowerCAmelCase       :   List[Any]  =    char
    return pairs







class 	__UpperCamelCase    (    a__						):
  _UpperCAmelCase          =		VOCAB_FILES_NAMES
  _UpperCAmelCase          =		PRETRAINED_VOCAB_FILES_MAP
  _UpperCAmelCase          =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _UpperCAmelCase          =		["input_ids", "attention_mask"]

  def __init__(		self    ,_A    ,_A    ,_A="replace"    ,_A="<s>"    ,_A="</s>"    ,_A="</s>"    ,_A="<s>"    ,_A="<unk>"    ,_A="<pad>"    ,_A="<mask>"    ,_A=False    ,**_A    ,):
      '''simple docstring'''

      _lowerCAmelCase       :   Optional[int]  =    AddedToken(_A    ,lstrip=_A    ,rstrip=_A      ) if isinstance(_A    ,_A      ) else bos_token
      _lowerCAmelCase       :   str  =    AddedToken(_A    ,lstrip=_A    ,rstrip=_A      ) if isinstance(_A    ,_A      ) else eos_token
      _lowerCAmelCase       :   Optional[int]  =    AddedToken(_A    ,lstrip=_A    ,rstrip=_A      ) if isinstance(_A    ,_A      ) else sep_token
      _lowerCAmelCase       :   Dict  =    AddedToken(_A    ,lstrip=_A    ,rstrip=_A      ) if isinstance(_A    ,_A      ) else cls_token
      _lowerCAmelCase       :   List[str]  =    AddedToken(_A    ,lstrip=_A    ,rstrip=_A      ) if isinstance(_A    ,_A      ) else unk_token
      _lowerCAmelCase       :   str  =    AddedToken(_A    ,lstrip=_A    ,rstrip=_A      ) if isinstance(_A    ,_A      ) else pad_token

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

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

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

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      _lowerCAmelCase       :   List[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      ):
      '''simple docstring'''

      return len(self.encoder      )

  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

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

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      if token in self.cache:
          return self.cache[token]
      _lowerCAmelCase       :   Any  =    tuple(_A      )
      _lowerCAmelCase       :   Any  =    get_pairs(_A      )

      if not pairs:
          return token

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

              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
          _lowerCAmelCase       :   Dict  =    tuple(_A      )
          _lowerCAmelCase       :   Optional[Any]  =    new_word
          if len(_A      ) == 1:
              break
          else:
              _lowerCAmelCase       :   Optional[Any]  =    get_pairs(_A      )
      _lowerCAmelCase       :   Optional[int]  =    ' '.join(_A      )
      _lowerCAmelCase       :   str  =    word
      return word

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   List[str]  =    []
      for token in re.findall(self.pat    ,_A      ):
          _lowerCAmelCase       :   str  =    ''.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(_A      ).split(' '      )      )
      return bpe_tokens

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

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

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      return self.decoder.get(_A      )

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Dict  =    ''.join(_A      )
      _lowerCAmelCase       :   int  =    bytearray([self.byte_decoder[c] for c in text]      ).decode('utf-8'    ,errors=self.errors      )
      return text

  def __lowerCamelCase		(		self    ,_A    ,_A = None      ):
      '''simple docstring'''

      if not os.path.isdir(_A      ):
          logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""      )
          return
      _lowerCAmelCase       :   Tuple  =    os.path.join(
          _A    ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']      )
      _lowerCAmelCase       :   Union[str, Any]  =    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'      )

      _lowerCAmelCase       :   List[str]  =    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!'      )
                  _lowerCAmelCase       :   List[str]  =    token_index
              writer.write(' '.join(_A      ) + '\n'      )
              index += 1

      return vocab_file, merge_file

  def __lowerCamelCase		(		self    ,_A    ,_A = None    ,_A = False      ):
      '''simple docstring'''

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

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

  def __lowerCamelCase		(		self    ,_A    ,_A = None      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Union[str, Any]  =    [self.sep_token_id]
      _lowerCAmelCase       :   Tuple  =    [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    ,_A    ,_A=False    ,**_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   List[Any]  =    kwargs.pop('add_prefix_space'    ,self.add_prefix_space      )
      if (is_split_into_words or add_prefix_space) and (len(_A      ) > 0 and not text[0].isspace()):
          _lowerCAmelCase       :   List[str]  =    ' ' + text
      return (text, kwargs)

  def __lowerCamelCase		(		self    ,_A    ,_A = None      ):
      '''simple docstring'''

      return token_ids_a + [self.eos_token_id]







  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Optional[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(_A      )

      _lowerCAmelCase       :   str  =    '  '.join(_A      )
      _lowerCAmelCase       :   Optional[int]  =    self.encode(_A      )
      if len(_A      ) > self.model_max_length:
          _lowerCAmelCase       :   Optional[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"""






from collections.abc import Callable







class 	__UpperCamelCase    :

  def __init__(		self    ,_A = None      ):
      '''simple docstring'''

      _lowerCAmelCase       :   list  =    []
      # Stores indexes of each item for supporting updates and deletion.
      _lowerCAmelCase       :   dict  =    {}
      # Stores current size of heap.
      _lowerCAmelCase       :   Union[str, Any]  =    0
      # Stores function used to evaluate the score of an item on which basis ordering
      # will be done.
      _lowerCAmelCase       :   Union[str, Any]  =    key or (lambda _A      : x)

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      return int((i - 1) / 2      ) if i > 0 else None

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Union[str, Any]  =    int(2 * i + 1      )
      return left if 0 < left < self.size else None

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   str  =    int(2 * i + 2      )
      return right if 0 < right < self.size else None

  def __lowerCamelCase		(		self    ,_A    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase,					_lowerCAmelCase       :   Tuple  =    (
          self.pos_map[self.arr[j][0]],
          self.pos_map[self.arr[i][0]],
      )
      # Then swap the items in the list.
      _lowerCAmelCase,					_lowerCAmelCase       :   Tuple  =    self.arr[j], self.arr[i]

  def __lowerCamelCase		(		self    ,_A    ,_A      ):
      '''simple docstring'''

      return self.arr[i][1] < self.arr[j][1]

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Tuple  =    self._left(_A      )
      _lowerCAmelCase       :   str  =    self._right(_A      )
      _lowerCAmelCase       :   Tuple  =    i

      if left is not None and not self._cmp(_A    ,_A      ):
          _lowerCAmelCase       :   int  =    left
      if right is not None and not self._cmp(_A    ,_A      ):
          _lowerCAmelCase       :   Optional[int]  =    right

      return valid_parent

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Any  =    self._parent(_A      )
      while parent is not None and not self._cmp(_A    ,_A      ):
          self._swap(_A    ,_A      )
          _lowerCAmelCase,					_lowerCAmelCase       :   List[str]  =    parent, self._parent(_A      )

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Union[str, Any]  =    self._get_valid_parent(_A      )
      while valid_parent != index:
          self._swap(_A    ,_A      )
          _lowerCAmelCase,					_lowerCAmelCase       :   Optional[int]  =    valid_parent, self._get_valid_parent(_A      )

  def __lowerCamelCase		(		self    ,_A    ,_A      ):
      '''simple docstring'''

      if item not in self.pos_map:
          return
      _lowerCAmelCase       :   int  =    self.pos_map[item]
      _lowerCAmelCase       :   Dict  =    [item, self.key(_A      )]
      # Make sure heap is right in both up and down direction.
      # Ideally only one of them will make any change.
      self._heapify_up(_A      )
      self._heapify_down(_A      )

  def __lowerCamelCase		(		self    ,_A      ):
      '''simple docstring'''

      if item not in self.pos_map:
          return
      _lowerCAmelCase       :   List[str]  =    self.pos_map[item]
      del self.pos_map[item]
      _lowerCAmelCase       :   Dict  =    self.arr[self.size - 1]
      _lowerCAmelCase       :   Optional[Any]  =    index
      self.size -= 1
      # Make sure heap is right in both up and down direction. Ideally only one
      # of them will make any change- so no performance loss in calling both.
      if self.size > index:
          self._heapify_up(_A      )
          self._heapify_down(_A      )

  def __lowerCamelCase		(		self    ,_A    ,_A      ):
      '''simple docstring'''

      _lowerCAmelCase       :   Tuple  =    len(self.arr      )
      if arr_len == self.size:
          self.arr.append([item, self.key(_A      )]      )
      else:
          _lowerCAmelCase       :   Any  =    [item, self.key(_A      )]
      _lowerCAmelCase       :   str  =    self.size
      self.size += 1
      self._heapify_up(self.size - 1      )

  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      return self.arr[0] if self.size else None







  def __lowerCamelCase		(		self      ):
      '''simple docstring'''

      _lowerCAmelCase       :   int  =    self.get_top()
      if top_item_tuple:
          self.delete_item(top_item_tuple[0]      )
      return top_item_tuple





def 		lowerCamelCase__		(					):

    '''simple docstring'''





if __name__ == "__main__":
 import doctest

 doctest.testmod()





