'''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

UpperCamelCase__     :	Any				=			logging.get_logger(__name__)


UpperCamelCase__     :	List[str]				=			{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

UpperCamelCase__     :	Optional[Any]				=			{
    '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'
    },
}

UpperCamelCase__     :	Optional[int]				=			{'facebook/blenderbot-3B': 128}







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







def __UpperCamelCase(   _A					:				List[str]    ):
   '''simple docstring'''
   UpperCAmelCase__							:				Optional[Any]   				=  set()
   UpperCAmelCase__							:				Optional[int]   				=  word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)    )
      UpperCAmelCase__							:				Optional[int]   				=  char
   return pairs


class 				_lowercase	(      lowerCAmelCase   ):
      '''simple docstring'''


      UpperCAmelCase_      :      Union[str, Any]      							=   VOCAB_FILES_NAMES
      UpperCAmelCase_      :      List[str]      							=   PRETRAINED_VOCAB_FILES_MAP
      UpperCAmelCase_      :      str      							=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCAmelCase_      :      Optional[int]      							=   ['''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_					,)			->			str:



         '''simple docstring'''



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

         # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
         UpperCAmelCase__							:				Tuple   				=  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							)			->			Optional[Any]:



         '''simple docstring'''



         return len(self.encoder							)




      def 		lowerCAmelCase__					(				self							)			->			int:



         '''simple docstring'''



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




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			Optional[Any]:



         '''simple docstring'''



         if token in self.cache:
            return self.cache[token]
         UpperCAmelCase__							:				Any   				=  tuple(lowerCamelCase_							)
         UpperCAmelCase__							:				List[str]   				=  get_pairs(lowerCamelCase_							)

         if not pairs:
            return token

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




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			Optional[Any]:



         '''simple docstring'''



         UpperCAmelCase__							:				List[Any]   				=  []
         for token in re.findall(self.pat					,lowerCamelCase_							):
            UpperCAmelCase__							:				Optional[Any]   				=  ''''''.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 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			Union[str, Any]:



         '''simple docstring'''



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




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			Any:



         '''simple docstring'''



         return self.decoder.get(lowerCamelCase_							)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			List[str]:



         '''simple docstring'''



         UpperCAmelCase__							:				Optional[int]   				=  ''''''.join(lowerCamelCase_							)
         UpperCAmelCase__							:				Tuple   				=  bytearray([self.byte_decoder[c] for c in text]							).decode('''utf-8'''					,errors=self.errors							)
         return text




      def 		lowerCAmelCase__					(				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
         UpperCAmelCase__							:				List[str]   				=  os.path.join(
             lowerCamelCase_					,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)
         UpperCAmelCase__							:				Dict   				=  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__							:				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!'''							)
                  UpperCAmelCase__							:				List[str]   				=  token_index
               writer.write(''' '''.join(lowerCamelCase_							) + '''\n'''							)
               index += 1

         return vocab_file, merge_file




      def 		lowerCAmelCase__					(				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 		lowerCAmelCase__					(				self					,lowerCamelCase_					,lowerCamelCase_ = None							)			->			List[int]:



         '''simple docstring'''



         UpperCAmelCase__							:				Dict   				=  [self.sep_token_id]
         UpperCAmelCase__							:				Union[str, 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					,lowerCamelCase_					,lowerCamelCase_=False					,**lowerCamelCase_							)			->			Dict:



         '''simple docstring'''



         UpperCAmelCase__							:				Union[str, 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()):
            UpperCAmelCase__							:				List[str]   				=  ''' ''' + text
         return (text, kwargs)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_					,lowerCamelCase_ = None							)			->			Union[str, Any]:



         '''simple docstring'''



         return token_ids_a + [self.eos_token_id]




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			List[int]:



         '''simple docstring'''



         UpperCAmelCase__							:				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(lowerCamelCase_							)

         UpperCAmelCase__							:				Dict   				=  '''  '''.join(lowerCamelCase_							)
         UpperCAmelCase__							:				List[str]   				=  self.encode(lowerCamelCase_							)
         if len(lowerCamelCase_							) > self.model_max_length:
            UpperCAmelCase__							:				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 __UpperCamelCase(   _A					:				int    ):
   '''simple docstring'''

   if length <= 0 or not isinstance(_A  ,			_A    ):
      raise ValueError('''Length must be a positive integer.'''    )
   return [n * (2 * n - 1) for n in range(_A    )]


if __name__ == "__main__":
  print(hexagonal_numbers(length=5))
  print(hexagonal_numbers(length=10))




