

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

import regex as re

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


__A			:					List[Any]						=			logging.get_logger(__name__)


__A			:					Dict						=			{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

__A			:					Optional[int]						=			{
    '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'
        )
    },
}

__A			:					Any						=			{'facebook/blenderbot_small-90M': 5_1_2}





def 	__a     (      A__			:  Dict       ):
    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 			_SCREAMING_SNAKE_CASE (   __snake_case		):







   '''simple docstring'''




   lowerCamelCase__				=      VOCAB_FILES_NAMES
   lowerCamelCase__				=      PRETRAINED_VOCAB_FILES_MAP
   lowerCamelCase__				=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCamelCase__				=      ["input_ids", "attention_mask"]





   def __init__(       self					:			Dict     , __lowerCamelCase					:			List[Any]     , __lowerCamelCase					:			int     , __lowerCamelCase					:			str="__start__"     , __lowerCamelCase					:			List[str]="__end__"     , __lowerCamelCase					:			Any="__unk__"     , __lowerCamelCase					:			Optional[Any]="__null__"     , **__lowerCamelCase					:			Any     , ):
       super().__init__(unk_token=__lowerCamelCase     , bos_token=__lowerCamelCase     , eos_token=__lowerCamelCase     , pad_token=__lowerCamelCase     , **__lowerCamelCase			)

       with open(__lowerCamelCase     , encoding="utf-8"			) as vocab_handle:
           SCREAMING_SNAKE_CASE										=   json.load(__lowerCamelCase			)
       SCREAMING_SNAKE_CASE										=   {v: k for k, v in self.encoder.items()}
       with open(__lowerCamelCase     , 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(__lowerCamelCase     , range(len(__lowerCamelCase			)			)			)			)
       SCREAMING_SNAKE_CASE										=   {}





   @property
   def      _snake_case		(       self					:			Optional[int]			):
       return len(self.encoder			)





   def      _snake_case		(       self					:			Dict			):
       return dict(self.encoder     , **self.added_tokens_encoder			)





   def      _snake_case		(       self					:			List[Any]     , __lowerCamelCase					:			str			):
       if token in self.cache:
           return self.cache[token]
       SCREAMING_SNAKE_CASE										=   re.sub("([.,!?()])"     , r" \1"     , __lowerCamelCase			)
       SCREAMING_SNAKE_CASE										=   re.sub("(')"     , r" \1 "     , __lowerCamelCase			)
       SCREAMING_SNAKE_CASE										=   re.sub(r"\s{2,}"     , " "     , __lowerCamelCase			)
       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(__lowerCamelCase			):
               continue

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

           if not pairs:
               words.append(__lowerCamelCase			)
               continue

           while True:
               SCREAMING_SNAKE_CASE										=   min(__lowerCamelCase     , key=lambda __lowerCamelCase			: self.bpe_ranks.get(__lowerCamelCase     , 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(__lowerCamelCase			):
                   try:
                       SCREAMING_SNAKE_CASE										=   word.index(__lowerCamelCase     , __lowerCamelCase			)
                       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(__lowerCamelCase			) - 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(__lowerCamelCase			)
               SCREAMING_SNAKE_CASE										=   new_word
               if len(__lowerCamelCase			) == 1:
                   break
               else:
                   SCREAMING_SNAKE_CASE										=   get_pairs(__lowerCamelCase			)
           SCREAMING_SNAKE_CASE										=   "@@ ".join(__lowerCamelCase			)
           SCREAMING_SNAKE_CASE										=   word[:-4]

           SCREAMING_SNAKE_CASE										=   word
           words.append(__lowerCamelCase			)
       return " ".join(__lowerCamelCase			)





   def      _snake_case		(       self					:			str     , __lowerCamelCase					:			str			):
       SCREAMING_SNAKE_CASE										=   []

       SCREAMING_SNAKE_CASE										=   re.findall(r"\S+\n?"     , __lowerCamelCase			)

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





   def      _snake_case		(       self					:			Union[str, Any]     , __lowerCamelCase					:			str			):
       SCREAMING_SNAKE_CASE										=   token.lower()
       return self.encoder.get(__lowerCamelCase     , self.encoder.get(self.unk_token			)			)





   def      _snake_case		(       self					:			Union[str, Any]     , __lowerCamelCase					:			int			):
       return self.decoder.get(__lowerCamelCase     , self.unk_token			)





   def      _snake_case		(       self					:			int     , __lowerCamelCase					:			List[str]			):
       SCREAMING_SNAKE_CASE										=   " ".join(__lowerCamelCase			).replace("@@ "     , ""			).strip()
       return out_string





   def      _snake_case		(       self					:			Tuple     , __lowerCamelCase					:			str     , __lowerCamelCase					:			Optional[str] = None			):
       if not os.path.isdir(__lowerCamelCase			):
           logger.error(f"Vocabulary path ({save_directory}) should be a directory"			)
           return
       SCREAMING_SNAKE_CASE										=   os.path.join(
           __lowerCamelCase     , (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]			)
       SCREAMING_SNAKE_CASE										=   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"			)

       SCREAMING_SNAKE_CASE										=   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!"			)
                   SCREAMING_SNAKE_CASE										=   token_index
               writer.write(" ".join(__lowerCamelCase			) + "\n"			)
               index += 1

       return vocab_file, merge_file


import os





def 	__a     (      ):
    SCREAMING_SNAKE_CASE										=   os.path.join(os.path.dirname(A__       )			,  "num.txt"       )
    with open(A__       ) as file_hand:
        return str(sum(int(A__       ) for line in file_hand       )       )[:10]


if __name__ == "__main__":
    print(solution())