
'''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_ :  List[str]     =					logging.get_logger(__name__)


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

snake_case_ :  List[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_ :  int     =					{'facebook/blenderbot-3B': 128}



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



def  __snake_case     (    _UpperCAmelCase					:       List[Any]):
   UpperCamelCase       =  set()
   UpperCamelCase       =  word[0]
   for char in word[1:]:
      pairs.add((prev_char, char))
      UpperCamelCase       =  char
   return pairs


class 						lowercase__	(  snake_case_   ):






   '''simple docstring'''







   _snake_case		   =							VOCAB_FILES_NAMES
   _snake_case		   =							PRETRAINED_VOCAB_FILES_MAP
   _snake_case		   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _snake_case		   =							['''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__ ,   ):

      '''simple docstring'''







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

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      UpperCamelCase       =  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       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      return len(self.encoder   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







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







   def       UpperCAmelCase				(			self ,   lowerCamelCase__   ):

      '''simple docstring'''







      if token in self.cache:
         return self.cache[token]
      UpperCamelCase       =  tuple(lowerCamelCase__   )
      UpperCamelCase       =  get_pairs(lowerCamelCase__   )

      if not pairs:
         return token

      while True:
         UpperCamelCase       =  min(lowerCamelCase__ ,   key=lambda lowerCamelCase__   : self.bpe_ranks.get(lowerCamelCase__ ,   float('''inf'''   )   )   )
         if bigram not in self.bpe_ranks:
            break
         UpperCamelCase     , UpperCamelCase       =  bigram
         UpperCamelCase       =  []
         UpperCamelCase       =  0
         while i < len(lowerCamelCase__   ):
            try:
               UpperCamelCase       =  word.index(lowerCamelCase__ ,   lowerCamelCase__   )
            except ValueError:
               new_word.extend(word[i:]   )
               break
            else:
               new_word.extend(word[i:j]   )
               UpperCamelCase       =  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
         UpperCamelCase       =  tuple(lowerCamelCase__   )
         UpperCamelCase       =  new_word
         if len(lowerCamelCase__   ) == 1:
            break
         else:
            UpperCamelCase       =  get_pairs(lowerCamelCase__   )
      UpperCamelCase       =  ''' '''.join(lowerCamelCase__   )
      UpperCamelCase       =  word
      return word







   def       UpperCAmelCase				(			self ,   lowerCamelCase__   ):

      '''simple docstring'''







      UpperCamelCase       =  []
      for token in re.findall(self.pat ,   lowerCamelCase__   ):
         UpperCamelCase       =  ''''''.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       UpperCAmelCase				(			self ,   lowerCamelCase__   ):

      '''simple docstring'''







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







   def       UpperCAmelCase				(			self ,   lowerCamelCase__   ):

      '''simple docstring'''







      return self.decoder.get(lowerCamelCase__   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__   ):

      '''simple docstring'''







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







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ = None   ):

      '''simple docstring'''







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

      UpperCamelCase       =  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!'''   )
               UpperCamelCase       =  token_index
            writer.write(''' '''.join(lowerCamelCase__   ) + '''\n'''   )
            index += 1

      return vocab_file, merge_file







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ = None ,   lowerCamelCase__ = False   ):

      '''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       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ = None   ):

      '''simple docstring'''







      UpperCamelCase       =  [self.sep_token_id]
      UpperCamelCase       =  [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       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__=False ,   **lowerCamelCase__   ):

      '''simple docstring'''







      UpperCamelCase       =  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()):
         UpperCamelCase       =  ''' ''' + text
      return (text, kwargs)







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ = None   ):

      '''simple docstring'''







      return token_ids_a + [self.eos_token_id]







   def       UpperCAmelCase				(			self ,   lowerCamelCase__   ):

      '''simple docstring'''







      UpperCamelCase       =  []
      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__   )

      UpperCamelCase       =  '''  '''.join(lowerCamelCase__   )
      UpperCamelCase       =  self.encode(lowerCamelCase__   )
      if len(lowerCamelCase__   ) > self.model_max_length:
         UpperCamelCase       =  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  __snake_case     (    _UpperCAmelCase					:       list[list[float]]):
   UpperCamelCase       =  []
   for data in source_data:
      for i, el in enumerate(_UpperCAmelCase):
         if len(_UpperCAmelCase) < i + 1:
            data_lists.append([])
         data_lists[i].append(float(_UpperCAmelCase))
   return data_lists



def  __snake_case     (    _UpperCAmelCase					:       list[list[float]],      _UpperCAmelCase					:       list[int]):
   UpperCamelCase       =  []
   for dlist, weight in zip(_UpperCAmelCase,      _UpperCAmelCase):
      UpperCamelCase       =  min(_UpperCAmelCase)
      UpperCamelCase       =  max(_UpperCAmelCase)

      UpperCamelCase       =  []
      # for weight 0 score is 1 - actual score
      if weight == 0:
         for item in dlist:
            try:
               score.append(1 - ((item - mind) / (maxd - mind)))
            except ZeroDivisionError:
               score.append(1)

      elif weight == 1:
         for item in dlist:
            try:
               score.append((item - mind) / (maxd - mind))
            except ZeroDivisionError:
               score.append(0)

        # weight not 0 or 1
      else:
         UpperCamelCase       =  f'Invalid weight of {weight:f} provided'
         raise ValueError(_UpperCAmelCase)

      score_lists.append(_UpperCAmelCase)

   return score_lists



def  __snake_case     (    _UpperCAmelCase					:       list[list[float]]):
   UpperCamelCase       =  [0 for i in range(len(score_lists[0]))]

   for slist in score_lists:
      for j, ele in enumerate(_UpperCAmelCase):
         UpperCamelCase       =  final_scores[j] + ele

   return final_scores



def  __snake_case     (    _UpperCAmelCase					:       list[list[float]],      _UpperCAmelCase					:       list[int]):
   UpperCamelCase       =  get_data(_UpperCAmelCase)
   UpperCamelCase       =  calculate_each_score(_UpperCAmelCase,      _UpperCAmelCase)
   UpperCamelCase       =  generate_final_scores(_UpperCAmelCase)

   # append scores to source data
   for i, ele in enumerate(_UpperCAmelCase):
      source_data[i].append(_UpperCAmelCase)

   return source_data





