import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__lowerCamelCase    :				Dict							     =	logging.get_logger(__name__)


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

__lowerCamelCase    :				List[str]							     =	{
    '''vocab_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''facebook/blenderbot_small-90M''': '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'''
    },
    '''tokenizer_config_file''': {
        '''facebook/blenderbot_small-90M''': (
            '''https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'''
        )
    },
}

__lowerCamelCase    :				Union[str, Any]							     =	{'''facebook/blenderbot_small-90M''': 512}



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: int			)							->      List[str]:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__    							=   set()
  SCREAMING_SNAKE_CASE__    							=   word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)			)
    SCREAMING_SNAKE_CASE__    							=   char

  SCREAMING_SNAKE_CASE__    							=   set(A__			)
  return pairs







class __snake_case       (		__lowerCamelCase	):
   lowerCAmelCase_														=							VOCAB_FILES_NAMES
   lowerCAmelCase_														=							PRETRAINED_VOCAB_FILES_MAP
   lowerCAmelCase_														=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCAmelCase_														=							['input_ids', 'attention_mask']




   def __init__(					self    :       str ,			_lowercase    :       List[str] ,			_lowercase    :       Optional[Any] ,			_lowercase    :       List[str]="__start__" ,			_lowercase    :       Optional[Any]="__end__" ,			_lowercase    :       Optional[Any]="__unk__" ,			_lowercase    :       Union[str, Any]="__null__" ,			**_lowercase    :       int ,			):



     """simple docstring"""






     super().__init__(unk_token=UpperCamelCase_ ,			bos_token=UpperCamelCase_ ,			eos_token=UpperCamelCase_ ,			pad_token=UpperCamelCase_ ,			**UpperCamelCase_   )

     with open(UpperCamelCase_ ,			encoding="""utf-8"""   ) as vocab_handle:
       SCREAMING_SNAKE_CASE__    							=   json.load(UpperCamelCase_   )
     SCREAMING_SNAKE_CASE__    							=   {v: k for k, v in self.encoder.items()}
     with open(UpperCamelCase_ ,			encoding="""utf-8"""   ) as merges_handle:
       SCREAMING_SNAKE_CASE__    							=   merges_handle.read().split("""\n"""   )[1:-1]
     SCREAMING_SNAKE_CASE__    							=   [tuple(merge.split()   ) for merge in merges]
     SCREAMING_SNAKE_CASE__    							=   dict(zip(UpperCamelCase_ ,			range(len(UpperCamelCase_   )   )   )   )
     SCREAMING_SNAKE_CASE__    							=   {}




   @property
   def 			__a		(					self    :       List[str]   ):



     """simple docstring"""






     return len(self.encoder   )




   def 			__a		(					self    :       List[str]   ):



     """simple docstring"""






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




   def 			__a		(					self    :       str ,			_lowercase    :       str   ):



     """simple docstring"""






     if token in self.cache:
       return self.cache[token]
     SCREAMING_SNAKE_CASE__    							=   re.sub("""([.,!?()])""" ,			R""" \1""" ,			UpperCamelCase_   )
     SCREAMING_SNAKE_CASE__    							=   re.sub("""(')""" ,			R""" \1 """ ,			UpperCamelCase_   )
     SCREAMING_SNAKE_CASE__    							=   re.sub(R"""\s{2,}""" ,			""" """ ,			UpperCamelCase_   )
     if "\n" in token:
       SCREAMING_SNAKE_CASE__    							=   token.replace("""\n""" ,			""" __newln__"""   )

     SCREAMING_SNAKE_CASE__    							=   token.split(""" """   )
     SCREAMING_SNAKE_CASE__    							=   []
     for token in tokens:
       if not len(UpperCamelCase_   ):
         continue

       SCREAMING_SNAKE_CASE__    							=   token.lower()
       SCREAMING_SNAKE_CASE__    							=   tuple(UpperCamelCase_   )
       SCREAMING_SNAKE_CASE__    							=   tuple(list(word[:-1]   ) + [word[-1] + """</w>"""]   )
       SCREAMING_SNAKE_CASE__    							=   get_pairs(UpperCamelCase_   )

       if not pairs:
         words.append(UpperCamelCase_   )
         continue

       while True:
         SCREAMING_SNAKE_CASE__    							=   min(UpperCamelCase_ ,			key=lambda _lowercase   : self.bpe_ranks.get(UpperCamelCase_ ,			float("""inf"""   )   )   )
         if bigram not in self.bpe_ranks:
           break
         SCREAMING_SNAKE_CASE__							,  SCREAMING_SNAKE_CASE__    							=   bigram
         SCREAMING_SNAKE_CASE__    							=   []
         SCREAMING_SNAKE_CASE__    							=   0

         while i < len(UpperCamelCase_   ):
           try:
             SCREAMING_SNAKE_CASE__    							=   word.index(UpperCamelCase_ ,			UpperCamelCase_   )
             new_word.extend(word[i:j]   )
             SCREAMING_SNAKE_CASE__    							=   j
           except ValueError:
             new_word.extend(word[i:]   )
             break

           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
         SCREAMING_SNAKE_CASE__    							=   tuple(UpperCamelCase_   )
         SCREAMING_SNAKE_CASE__    							=   new_word
         if len(UpperCamelCase_   ) == 1:
           break
         else:
           SCREAMING_SNAKE_CASE__    							=   get_pairs(UpperCamelCase_   )
       SCREAMING_SNAKE_CASE__    							=   """@@ """.join(UpperCamelCase_   )
       SCREAMING_SNAKE_CASE__    							=   word[:-4]

       SCREAMING_SNAKE_CASE__    							=   word
       words.append(UpperCamelCase_   )
     return " ".join(UpperCamelCase_   )




   def 			__a		(					self    :       List[str] ,			_lowercase    :       str   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   []

     SCREAMING_SNAKE_CASE__    							=   re.findall(R"""\S+\n?""" ,			UpperCamelCase_   )

     for token in words:
       split_tokens.extend(list(self.bpe(UpperCamelCase_   ).split(""" """   )   )   )
     return split_tokens




   def 			__a		(					self    :       Tuple ,			_lowercase    :       str   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   token.lower()
     return self.encoder.get(UpperCamelCase_ ,			self.encoder.get(self.unk_token   )   )




   def 			__a		(					self    :       Dict ,			_lowercase    :       int   ):



     """simple docstring"""






     return self.decoder.get(UpperCamelCase_ ,			self.unk_token   )




   def 			__a		(					self    :       Optional[int] ,			_lowercase    :       List[str]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   """ """.join(UpperCamelCase_   ).replace("""@@ """ ,			""""""   ).strip()
     return out_string




   def 			__a		(					self    :       str ,			_lowercase    :       str ,			_lowercase    :       Optional[str] = None   ):



     """simple docstring"""






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

     SCREAMING_SNAKE_CASE__    							=   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 _lowercase   : 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!"""   )
           SCREAMING_SNAKE_CASE__    							=   token_index
         writer.write(""" """.join(UpperCamelCase_   ) + """\n"""   )
         index += 1

     return vocab_file, merge_file

from __future__ import annotations



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: list			)							->      float:







  """simple docstring"""





  if not nums:
    raise ValueError("""List is empty"""			)
  return sum(__UpperCamelCase			) / len(__UpperCamelCase			)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
