






import json
import os
from typing import Optional, Tuple

import regex as re

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


lowerCamelCase	:							Optional[int]				=logging.get_logger(__name__)

lowerCamelCase	:							Tuple				={
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

lowerCamelCase	:							Optional[Any]				={
    '''vocab_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'''},
    '''merges_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'''},
}

lowerCamelCase	:							Optional[int]				={
    '''ctrl''': 256,
}

lowerCamelCase	:							int				={
    '''Pregnancy''': 168629,
    '''Christianity''': 7675,
    '''Explain''': 106423,
    '''Fitness''': 63440,
    '''Saving''': 63163,
    '''Ask''': 27171,
    '''Ass''': 95985,
    '''Joke''': 163509,
    '''Questions''': 45622,
    '''Thoughts''': 49605,
    '''Retail''': 52342,
    '''Feminism''': 164338,
    '''Writing''': 11992,
    '''Atheism''': 192263,
    '''Netflix''': 48616,
    '''Computing''': 39639,
    '''Opinion''': 43213,
    '''Alone''': 44967,
    '''Funny''': 58917,
    '''Gaming''': 40358,
    '''Human''': 4088,
    '''India''': 1331,
    '''Joker''': 77138,
    '''Diet''': 36206,
    '''Legal''': 11859,
    '''Norman''': 4939,
    '''Tip''': 72689,
    '''Weight''': 52343,
    '''Movies''': 46273,
    '''Running''': 23425,
    '''Science''': 2090,
    '''Horror''': 37793,
    '''Confession''': 60572,
    '''Finance''': 12250,
    '''Politics''': 16360,
    '''Scary''': 191985,
    '''Support''': 12654,
    '''Technologies''': 32516,
    '''Teenage''': 66160,
    '''Event''': 32769,
    '''Learned''': 67460,
    '''Notion''': 182770,
    '''Wikipedia''': 37583,
    '''Books''': 6665,
    '''Extract''': 76050,
    '''Confessions''': 102701,
    '''Conspiracy''': 75932,
    '''Links''': 63674,
    '''Narcissus''': 150425,
    '''Relationship''': 54766,
    '''Relationships''': 134796,
    '''Reviews''': 41671,
    '''News''': 4256,
    '''Translation''': 26820,
    '''multilingual''': 128406,
}







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	str:
     UpperCamelCase__			:   List[str]       				=  set()
     UpperCamelCase__			:   Tuple       				=  word[0]
     for char in word[1:]:
          pairs.add((prev_char, char)			)
          UpperCamelCase__			:   Any       				=  char

     UpperCamelCase__			:   Tuple       				=  set(__lowerCAmelCase			)
     return pairs





class 			__a  (    A__       ):
 _lowerCAmelCase       :       str        = VOCAB_FILES_NAMES
 _lowerCAmelCase       :       Optional[int]        = PRETRAINED_VOCAB_FILES_MAP
 _lowerCAmelCase       :       Dict        = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCAmelCase       :       List[Any]        = CONTROL_CODES







 def __init__(		self					:   Optional[Any]							,   SCREAMING_SNAKE_CASE					:   int							,   SCREAMING_SNAKE_CASE					:   str							,   SCREAMING_SNAKE_CASE					:   int="<unk>"							,   **SCREAMING_SNAKE_CASE					:   Dict						):


      '''simple docstring'''






      super().__init__(unk_token=SCREAMING_SNAKE_CASE							,   **SCREAMING_SNAKE_CASE						)

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







 @property
 def 					__lowercase					(		self					:   str						):


      '''simple docstring'''






      return len(self.encoder						)







 def 					__lowercase					(		self					:   Dict						):


      '''simple docstring'''






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







 def 					__lowercase					(		self					:   List[str]							,   SCREAMING_SNAKE_CASE					:   List[Any]						):


      '''simple docstring'''






      if token in self.cache:
           return self.cache[token]
      UpperCamelCase__			:   Tuple       				=  tuple(SCREAMING_SNAKE_CASE						)
      UpperCamelCase__			:   Tuple       				=  tuple(list(word[:-1]						) + [word[-1] + "</w>"]						)
      UpperCamelCase__			:   Union[str, Any]       				=  get_pairs(SCREAMING_SNAKE_CASE						)

      if not pairs:
           return token

      while True:
           UpperCamelCase__			:   List[Any]       				=  min(SCREAMING_SNAKE_CASE							,   key=lambda SCREAMING_SNAKE_CASE						: self.bpe_ranks.get(SCREAMING_SNAKE_CASE							,   float("inf"						)						)						)
           if bigram not in self.bpe_ranks:
                break
           UpperCamelCase__				,     UpperCamelCase__			:   Tuple       				=  bigram
           UpperCamelCase__			:   str       				=  []
           UpperCamelCase__			:   Any       				=  0
           while i < len(SCREAMING_SNAKE_CASE						):
                try:
                     UpperCamelCase__			:   int       				=  word.index(SCREAMING_SNAKE_CASE							,   SCREAMING_SNAKE_CASE						)
                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(SCREAMING_SNAKE_CASE						) - 1 and word[i + 1] == second:
                     new_word.append(first + second						)
                     i += 2
                else:
                     new_word.append(word[i]						)
                     i += 1
           UpperCamelCase__			:   Dict       				=  tuple(SCREAMING_SNAKE_CASE						)
           UpperCamelCase__			:   List[Any]       				=  new_word
           if len(SCREAMING_SNAKE_CASE						) == 1:
                break
           else:
                UpperCamelCase__			:   Optional[int]       				=  get_pairs(SCREAMING_SNAKE_CASE						)
      UpperCamelCase__			:   Dict       				=  "@@ ".join(SCREAMING_SNAKE_CASE						)
      UpperCamelCase__			:   str       				=  word[:-4]
      UpperCamelCase__			:   Union[str, Any]       				=  word
      return word







 def 					__lowercase					(		self					:   List[Any]							,   SCREAMING_SNAKE_CASE					:   Optional[int]						):


      '''simple docstring'''






      UpperCamelCase__			:   List[str]       				=  []

      UpperCamelCase__			:   Optional[int]       				=  re.findall(R"\S+\n?"							,   SCREAMING_SNAKE_CASE						)

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







 def 					__lowercase					(		self					:   List[Any]							,   SCREAMING_SNAKE_CASE					:   Dict						):


      '''simple docstring'''






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







 def 					__lowercase					(		self					:   Optional[Any]							,   SCREAMING_SNAKE_CASE					:   Optional[Any]						):


      '''simple docstring'''






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







 def 					__lowercase					(		self					:   str							,   SCREAMING_SNAKE_CASE					:   Tuple						):


      '''simple docstring'''






      UpperCamelCase__			:   Tuple       				=  " ".join(SCREAMING_SNAKE_CASE						).replace("@@ "							,   ""						).strip()
      return out_string







 def 					__lowercase					(		self					:   Optional[Any]							,   SCREAMING_SNAKE_CASE					:   str							,   SCREAMING_SNAKE_CASE					:   Optional[str] = None						):


      '''simple docstring'''






      if not os.path.isdir(SCREAMING_SNAKE_CASE						):
           logger.error(F'Vocabulary path ({save_directory}) should be a directory'						)
           return
      UpperCamelCase__			:   List[str]       				=  os.path.join(
          SCREAMING_SNAKE_CASE							,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)
      UpperCamelCase__			:   List[str]       				=  os.path.join(
          SCREAMING_SNAKE_CASE							,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]						)

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

      UpperCamelCase__			:   Optional[int]       				=  0
      with open(SCREAMING_SNAKE_CASE							,   "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 SCREAMING_SNAKE_CASE						: 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__			:   Tuple       				=  token_index
                writer.write(" ".join(SCREAMING_SNAKE_CASE						) + "\n"						)
                index += 1

      return vocab_file, merge_file

 # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
 #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
 #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
 #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
 #     return ''.join(tokens_generated_so_far)







from __future__ import annotations

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

lowerCamelCase	:							int				=TypeVar('''T''')





class 			__a  (    Generic[T]       ):
 _lowerCAmelCase       :       deque[T]  # Cache store of keys
 _lowerCAmelCase       :       set[T]  # References of the keys in cache
 _lowerCAmelCase       :       int        = 1_0  # Maximum capacity of cache







 def __init__(		self					:   List[str]							,   SCREAMING_SNAKE_CASE					:   int						):


      '''simple docstring'''






      UpperCamelCase__			:   Tuple       				=  deque()
      UpperCamelCase__			:   Optional[int]       				=  set()
      if not n:
           UpperCamelCase__			:   Tuple       				=  sys.maxsize
      elif n < 0:
           raise ValueError("n should be an integer greater than 0."						)
      else:
           UpperCamelCase__			:   Dict       				=  n







 def 					__lowercase					(		self					:   List[Any]							,   SCREAMING_SNAKE_CASE					:   T						):


      '''simple docstring'''






      if x not in self.key_reference:
           if len(self.dq_store						) == LRUCache._MAX_CAPACITY:
                UpperCamelCase__			:   int       				=  self.dq_store.pop()
                self.key_reference.remove(SCREAMING_SNAKE_CASE						)
      else:
           self.dq_store.remove(SCREAMING_SNAKE_CASE						)

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







 def 					__lowercase					(		self					:   Dict						):


      '''simple docstring'''






      for k in self.dq_store:
           print(SCREAMING_SNAKE_CASE						)







 def __repr__(		self					:   Union[str, Any]						):


      '''simple docstring'''






      return F'LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store						)}'


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 lowerCamelCase	:							LRUCache[str | int]				=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]"