"""simple docstring"""



from __future__ import annotations

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

SCREAMING_SNAKE_CASE__:Optional[Any]			=	TypeVar("""T""")






class 				snake_case__     (   Generic[T]   ):
 _snake_case   :			deque[T]  # Cache store of keys
 _snake_case   :			set[T]  # References of the keys in cache
 _snake_case   :			int    			=		10  # Maximum capacity of cache


 def __init__(				self  ,						lowerCamelCase		):
        __a     				=  deque()
        __a     				=  set()
        if not n:
               __a     				=  sys.maxsize
        elif n < 0:
               raise ValueError("n should be an integer greater than 0."		)
        else:
               __a     				=  n


 def 		a__ (				self  ,						lowerCamelCase		):
        if x not in self.key_reference:
               if len(self.dq_store		) == LRUCache._MAX_CAPACITY:
                      __a     				=  self.dq_store.pop()
                      self.key_reference.remove(lowerCamelCase		)
        else:
               self.dq_store.remove(lowerCamelCase		)

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


 def 		a__ (				self		):
        for k in self.dq_store:
               print(lowerCamelCase		)






 def __repr__(				self		):
        return F"LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store		)}"


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   SCREAMING_SNAKE_CASE__: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]"

"""simple docstring"""



import json
import os
from typing import Optional, Tuple

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


SCREAMING_SNAKE_CASE__:int			=	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__:List[Any]			=	{"""vocab_file""": """vocab.json"""}

SCREAMING_SNAKE_CASE__:Optional[int]			=	{
    """vocab_file""": {
        """mgp-str""": """https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json""",
    }
}

SCREAMING_SNAKE_CASE__:Optional[Any]			=	{"""mgp-str""": 27}






class 				snake_case__     (   snake_case_   ):
 _snake_case   :			Tuple           =		VOCAB_FILES_NAMES
 _snake_case   :			Tuple           =		PRETRAINED_VOCAB_FILES_MAP
 _snake_case   :			Optional[Any]           =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES


 def __init__(				self  ,						lowerCamelCase  ,						lowerCamelCase="[GO]"  ,						lowerCamelCase="[GO]"  ,						lowerCamelCase="[s]"  ,						lowerCamelCase="[GO]"  ,						**lowerCamelCase		):
        super().__init__(
            unk_token=lowerCamelCase  ,						bos_token=lowerCamelCase  ,						eos_token=lowerCamelCase  ,						pad_token=lowerCamelCase  ,						**lowerCamelCase  ,						)

        with open(lowerCamelCase  ,						encoding="utf-8"		) as vocab_handle:
               __a     				=  json.load(lowerCamelCase		)
        __a     				=  {v: k for k, v in self.vocab.items()}


 @property
 def 		a__ (				self		):
        return len(self.vocab		)


 def 		a__ (				self		):
        return dict(self.vocab  ,						**self.added_tokens_encoder		)


 def 		a__ (				self  ,						lowerCamelCase		):
        __a     				=  []
        for s in text:
               char_tokens.extend(lowerCamelCase		)
        return char_tokens


 def 		a__ (				self  ,						lowerCamelCase		):
        return self.vocab.get(lowerCamelCase  ,						self.vocab.get(self.unk_token		)		)


 def 		a__ (				self  ,						lowerCamelCase		):
        return self.decoder.get(lowerCamelCase		)






 def 		a__ (				self  ,						lowerCamelCase  ,						lowerCamelCase = None		):
        if not os.path.isdir(lowerCamelCase		):
               logger.error("Vocabulary path ({}) should be a directory".format(lowerCamelCase		)		)
               return
        __a     				=  os.path.join(
            lowerCamelCase  ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

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

        return (vocab_file,)
