
from __future__ import annotations

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

A_		:     Dict        =     TypeVar('''T''')



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

   def __init__(      self			:       Optional[int]							,   __lowerCAmelCase			:       int							)       ->				List[str]:


    """simple docstring"""






    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			:       Any							,   __lowerCAmelCase			:       int							)       ->				Optional[int]:


    """simple docstring"""






    if x not in self.key_reference:
     if len(self.dq_store							) == LRUCache._MAX_CAPACITY:
      a						=		self.dq_store.pop()
      self.key_reference.remove(_A							)
    else:
     self.dq_store.remove(_A							)

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

   def 		A							(      self			:       Union[str, Any]							)       ->				Union[str, Any]:


    """simple docstring"""






    for k in self.dq_store:
     print(_A							)




   def __repr__(      self			:       int							)       ->				str:


    """simple docstring"""






    return f"""LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store							)}"""


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     A_		:     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]"






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A_		:     Optional[int]        =     {
    '''configuration_instructblip''': [
        '''INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''InstructBlipConfig''',
        '''InstructBlipQFormerConfig''',
        '''InstructBlipVisionConfig''',
    ],
    '''processing_instructblip''': ['''InstructBlipProcessor'''],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     A_		:     List[Any]        =     [
         '''INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''InstructBlipQFormerModel''',
         '''InstructBlipPreTrainedModel''',
         '''InstructBlipForConditionalGeneration''',
         '''InstructBlipVisionModel''',
     ]

if TYPE_CHECKING:
     from .configuration_instructblip import (
         INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
         InstructBlipConfig,
         InstructBlipQFormerConfig,
         InstructBlipVisionConfig,
     )
     from .processing_instructblip import InstructBlipProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_instructblip import (
              INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
              InstructBlipForConditionalGeneration,
              InstructBlipPreTrainedModel,
              InstructBlipQFormerModel,
              InstructBlipVisionModel,
          )

else:
     import sys

     A_		:     Tuple        =     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

