






'''simple docstring'''
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_					= logging.get_logger(__name__)


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

a_					= {
    '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_					= {'facebook/blenderbot_small-90M': 5_1_2}





def  _a(  UpperCamelCase__				:						Optional[int]							):




      '''simple docstring'''






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

      SCREAMING_SNAKE_CASE__     :				Any									=set(UpperCamelCase__							)
      return pairs







class      __SCREAMING_SNAKE_CASE      (			lowerCamelCase				):
 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	:							Optional[int]					,      __lowercase	:							List[str]					,      __lowercase	:							Dict					,      __lowercase	:							Optional[int]="__start__"					,      __lowercase	:							Union[str, Any]="__end__"					,      __lowercase	:							int="__unk__"					,      __lowercase	:							Union[str, Any]="__null__"					,      **__lowercase	:							Optional[Any]					,      )	->						int:
       super().__init__(unk_token=__lowercase					,      bos_token=__lowercase					,      eos_token=__lowercase					,      pad_token=__lowercase					,      **__lowercase      )

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




 @property
 def      __magic_name__	(      self	:							Union[str, Any]      )	->						int:
       return len(self.encoder      )




 def      __magic_name__	(      self	:							List[str]      )	->						Dict:
       return dict(self.encoder					,      **self.added_tokens_encoder      )




 def      __magic_name__	(      self	:							Optional[Any]					,      __lowercase	:							str      )	->						str:
       if token in self.cache:
             return self.cache[token]
       SCREAMING_SNAKE_CASE__     :				Dict									=re.sub('''([.,!?()])'''					,      r''' \1'''					,      __lowercase      )
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=re.sub('''(\')'''					,      r''' \1 '''					,      __lowercase      )
       SCREAMING_SNAKE_CASE__     :				Optional[int]									=re.sub(r'''\s{2,}'''					,      ''' '''					,      __lowercase      )
       if "\n" in token:
             SCREAMING_SNAKE_CASE__     :				Any									=token.replace('''\n'''					,      ''' __newln__'''      )

       SCREAMING_SNAKE_CASE__     :				Dict									=token.split(''' '''      )
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=[]
       for token in tokens:
             if not len(__lowercase      ):
                   continue

             SCREAMING_SNAKE_CASE__     :				Optional[int]									=token.lower()
             SCREAMING_SNAKE_CASE__     :				Optional[int]									=tuple(__lowercase      )
             SCREAMING_SNAKE_CASE__     :				List[str]									=tuple(list(word[:-1]      ) + [word[-1] + '''</w>''']      )
             SCREAMING_SNAKE_CASE__     :				int									=get_pairs(__lowercase      )

             if not pairs:
                   words.append(__lowercase      )
                   continue

             while True:
                   SCREAMING_SNAKE_CASE__     :				str									=min(__lowercase					,      key=lambda __lowercase      : self.bpe_ranks.get(__lowercase					,      float('''inf'''      )      )      )
                   if bigram not in self.bpe_ranks:
                         break
                   SCREAMING_SNAKE_CASE__		,	SCREAMING_SNAKE_CASE__     :				Optional[int]									=bigram
                   SCREAMING_SNAKE_CASE__     :				int									=[]
                   SCREAMING_SNAKE_CASE__     :				str									=0

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

                         if word[i] == first and i < len(__lowercase      ) - 1 and word[i + 1] == second:
                               new_word.append(first + second      )
                               i += 2
                         else:
                               new_word.append(word[i]      )
                               i += 1
                   SCREAMING_SNAKE_CASE__     :				Any									=tuple(__lowercase      )
                   SCREAMING_SNAKE_CASE__     :				Optional[Any]									=new_word
                   if len(__lowercase      ) == 1:
                         break
                   else:
                         SCREAMING_SNAKE_CASE__     :				Dict									=get_pairs(__lowercase      )
             SCREAMING_SNAKE_CASE__     :				Dict									='''@@ '''.join(__lowercase      )
             SCREAMING_SNAKE_CASE__     :				Optional[Any]									=word[:-4]

             SCREAMING_SNAKE_CASE__     :				Any									=word
             words.append(__lowercase      )
       return " ".join(__lowercase      )




 def      __magic_name__	(      self	:							Tuple					,      __lowercase	:							str      )	->						List[str]:
       SCREAMING_SNAKE_CASE__     :				int									=[]

       SCREAMING_SNAKE_CASE__     :				str									=re.findall(r'''\S+\n?'''					,      __lowercase      )

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




 def      __magic_name__	(      self	:							Optional[int]					,      __lowercase	:							str      )	->						int:
       SCREAMING_SNAKE_CASE__     :				Any									=token.lower()
       return self.encoder.get(__lowercase					,      self.encoder.get(self.unk_token      )      )




 def      __magic_name__	(      self	:							List[str]					,      __lowercase	:							int      )	->						str:
       return self.decoder.get(__lowercase					,      self.unk_token      )




 def      __magic_name__	(      self	:							str					,      __lowercase	:							List[str]      )	->						str:
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=''' '''.join(__lowercase      ).replace('''@@ '''					,      ''''''      ).strip()
       return out_string




 def      __magic_name__	(      self	:							List[str]					,      __lowercase	:							str					,      __lowercase	:							Optional[str] = None      )	->						Tuple[str]:
       if not os.path.isdir(__lowercase      ):
             logger.error(F"Vocabulary path ({save_directory}) should be a directory"      )
             return
       SCREAMING_SNAKE_CASE__     :				List[Any]									=os.path.join(
           __lowercase					,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
       SCREAMING_SNAKE_CASE__     :				int									=os.path.join(
           __lowercase					,      (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']      )

       with open(__lowercase					,      '''w'''					,      encoding='''utf-8'''      ) as f:
             f.write(json.dumps(self.encoder					,      indent=2					,      sort_keys=__lowercase					,      ensure_ascii=__lowercase      ) + '''\n'''      )

       SCREAMING_SNAKE_CASE__     :				Dict									=0
       with open(__lowercase					,      '''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__     :				Optional[int]									=token_index
                   writer.write(''' '''.join(__lowercase      ) + '''\n'''      )
                   index += 1

       return vocab_file, merge_file







'''simple docstring'''
from __future__ import annotations

import sys
from collections import deque
from typing import Generic, TypeVar

a_					= TypeVar('T')






class      __SCREAMING_SNAKE_CASE      (			Generic[T]				):
 snake_case_  							=							42  # Cache store of keys
 snake_case_  							=							42  # References of the keys in cache
 snake_case_  							=							10  # Maximum capacity of cache




 def __init__(      self	:							Dict					,      __lowercase	:							int      )	->						None:
       SCREAMING_SNAKE_CASE__     :				Any									=deque()
       SCREAMING_SNAKE_CASE__     :				str									=set()
       if not n:
             SCREAMING_SNAKE_CASE__     :				Optional[Any]									=sys.maxsize
       elif n < 0:
             raise ValueError('''n should be an integer greater than 0.'''      )
       else:
             SCREAMING_SNAKE_CASE__     :				Optional[Any]									=n




 def      __magic_name__	(      self	:							List[str]					,      __lowercase	:							T      )	->						None:
       if x not in self.key_reference:
             if len(self.dq_store      ) == LRUCache._MAX_CAPACITY:
                   SCREAMING_SNAKE_CASE__     :				int									=self.dq_store.pop()
                   self.key_reference.remove(__lowercase      )
       else:
             self.dq_store.remove(__lowercase      )

       self.dq_store.appendleft(__lowercase      )
       self.key_reference.add(__lowercase      )




 def      __magic_name__	(      self	:							Union[str, Any]      )	->						None:
       for k in self.dq_store:
             print(__lowercase      )




 def __repr__(      self	:							List[Any]      )	->						str:
       return F"LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store      )}"


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  a_					= LRUCache(4)
  lru_cache.refer('A')
  lru_cache.refer(2)
  lru_cache.refer(3)
  lru_cache.refer('A')
  lru_cache.refer(4)
  lru_cache.refer(5)
  lru_cache.display()

  print(lru_cache)
  assert str(lru_cache) == "LRUCache(4) => [5, 4, 'A', 3]"