


'''simple docstring'''

from __future__ import annotations

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

lowercase__				     =		TypeVar("T")





class 						__SCREAMING_SNAKE_CASE					(      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     ,							__UpperCamelCase		)       ->    None:
          _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     ,							__UpperCamelCase		)       ->    None:
          if x not in self.key_reference:
               if len(self.dq_store		) == LRUCache._MAX_CAPACITY:
                    _a						=		self.dq_store.pop()
                    self.key_reference.remove(__UpperCamelCase		)
          else:
               self.dq_store.remove(__UpperCamelCase		)

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






     def  a_					(			self		)       ->    None:
          for k in self.dq_store:
               print(__UpperCamelCase		)






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


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   lowercase__				     =		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 copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__				     =		logging.get_logger(__name__)





class 						__SCREAMING_SNAKE_CASE					(      lowerCamelCase__ ):
     UpperCAmelCase 					=				'''encoder-decoder'''
     UpperCAmelCase 					=				True






     def __init__(			self     ,							**__UpperCamelCase		)       ->    List[Any]:
          super().__init__(**__UpperCamelCase		)
          assert (
              "encoder" in kwargs and "decoder" in kwargs
          ), "Config has to be initialized with encoder and decoder config"
          _a						=		kwargs.pop("encoder"		)
          _a						=		encoder_config.pop("model_type"		)
          _a						=		kwargs.pop("decoder"		)
          _a						=		decoder_config.pop("model_type"		)

          from ..auto.configuration_auto import AutoConfig

          _a						=		AutoConfig.for_model(__UpperCamelCase     ,							**__UpperCamelCase		)
          _a						=		AutoConfig.for_model(__UpperCamelCase     ,							**__UpperCamelCase		)
          _a						=		True






     @classmethod
     def  a_					(			cls     ,							__UpperCamelCase     ,							__UpperCamelCase     ,							**__UpperCamelCase		)       ->    PretrainedConfig:
          logger.info("Set `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"		)
          _a						=		True
          _a						=		True

          return cls(encoder=encoder_config.to_dict()     ,							decoder=decoder_config.to_dict()     ,							**__UpperCamelCase		)






     def  a_					(			self		)       ->    Any:
          _a						=		copy.deepcopy(self.__dict__		)
          _a						=		self.encoder.to_dict()
          _a						=		self.decoder.to_dict()
          _a						=		self.__class__.model_type
          return output

