




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							:						str					       =  logging.get_logger(__name__)


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

lowerCamelCase							:						Tuple					       =  {
    "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							:						str					       =  {"facebook/blenderbot_small-90M": 512}

def      _SCREAMING_SNAKE_CASE     (				lowercase      :			Dict	):


      '''simple docstring'''



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

      lowerCamelCase_							=       set(lowercase	)
      return pairs







class     A(		UpperCamelCase  ):



 '''simple docstring'''


 UpperCamelCase		  =		VOCAB_FILES_NAMES
 UpperCamelCase		  =		PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase		  =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCamelCase		  =		['''input_ids''', '''attention_mask''']

 def __init__(							self   :    Tuple		,				A_   :    Dict		,				A_   :    List[Any]		,				A_   :    List[Any]="__start__"		,				A_   :    Any="__end__"		,				A_   :    Tuple="__unk__"		,				A_   :    str="__null__"		,				**A_   :    Optional[Any]		,				)  ->      Optional[Any]:

       """simple docstring"""






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

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

 @property
 def 							a__					(							self   :    str    )  ->      int:

       """simple docstring"""






       return len(self.encoder    )

 def 							a__					(							self   :    Optional[Any]    )  ->      Dict:

       """simple docstring"""






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

 def 							a__					(							self   :    str		,				A_   :    str    )  ->      str:

       """simple docstring"""






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

       lowerCamelCase_							=       token.split(' '    )
       lowerCamelCase_							=       []
       for token in tokens:
             if not len(A_    ):
                   continue

             lowerCamelCase_							=       token.lower()
             lowerCamelCase_							=       tuple(A_    )
             lowerCamelCase_							=       tuple(list(word[:-1]    ) + [word[-1] + '</w>']    )
             lowerCamelCase_							=       get_pairs(A_    )

             if not pairs:
                   words.append(A_    )
                   continue

             while True:
                   lowerCamelCase_							=       min(A_		,				key=lambda A_    : self.bpe_ranks.get(A_		,				float('inf'    )    )    )
                   if bigram not in self.bpe_ranks:
                         break
                   lowerCamelCase_	,							lowerCamelCase_							=       bigram
                   lowerCamelCase_							=       []
                   lowerCamelCase_							=       0

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

                         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_							=       tuple(A_    )
                   lowerCamelCase_							=       new_word
                   if len(A_    ) == 1:
                         break
                   else:
                         lowerCamelCase_							=       get_pairs(A_    )
             lowerCamelCase_							=       '@@ '.join(A_    )
             lowerCamelCase_							=       word[:-4]

             lowerCamelCase_							=       word
             words.append(A_    )
       return " ".join(A_    )

 def 							a__					(							self   :    Tuple		,				A_   :    str    )  ->      List[str]:

       """simple docstring"""






       lowerCamelCase_							=       []

       lowerCamelCase_							=       re.findall(r'\S+\n?'		,				A_    )

       for token in words:
             split_tokens.extend(list(self.bpe(A_    ).split(' '    )    )    )
       return split_tokens

 def 							a__					(							self   :    Tuple		,				A_   :    str    )  ->      int:

       """simple docstring"""






       lowerCamelCase_							=       token.lower()
       return self.encoder.get(A_		,				self.encoder.get(self.unk_token    )    )

 def 							a__					(							self   :    Tuple		,				A_   :    int    )  ->      str:

       """simple docstring"""






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

 def 							a__					(							self   :    Optional[Any]		,				A_   :    List[str]    )  ->      str:

       """simple docstring"""






       lowerCamelCase_							=       ' '.join(A_    ).replace('@@ '		,				''    ).strip()
       return out_string





 def 							a__					(							self   :    Tuple		,				A_   :    str		,				A_   :    Optional[str] = None    )  ->      Tuple[str]:

       """simple docstring"""






       if not os.path.isdir(A_    ):
             logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""    )
             return
       lowerCamelCase_							=       os.path.join(
           A_		,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']    )
       lowerCamelCase_							=       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_							=       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_							=       token_index
                   writer.write(' '.join(A_    ) + '\n'    )
                   index += 1

       return vocab_file, merge_file











"""simple docstring"""





def   a    (     __UpperCAmelCase      :    int = 1_0_0  )    ->							int:
						__magic_name__:	str							=       0
						__magic_name__:	Any							=       0
						for i in range(1      ,   n + 1  ):
												sum_of_squares += i**2
												sum_of_ints += i
						return sum_of_ints**2 - sum_of_squares


if __name__ == "__main__":
							print(f'''{solution() = }''')



