


from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


a					  =     logging.get_logger(__name__)







class        UpperCamelCase__   (	__magic_name__							,				__magic_name__   ):
     __SCREAMING_SNAKE_CASE       :  Dict						=   'maskformer-swin'

     __SCREAMING_SNAKE_CASE       :  List[Any]						=   {
         'num_attention_heads': 'num_heads',
         'num_hidden_layers': 'num_layers',
     }

     def __init__(     self       :   List[str]							,					UpperCamelCase__       :   List[str]=224							,					UpperCamelCase__       :   List[Any]=4							,					UpperCamelCase__       :   Tuple=3							,					UpperCamelCase__       :   Tuple=96							,					UpperCamelCase__       :   Dict=[2, 2, 6, 2]							,					UpperCamelCase__       :   Dict=[3, 6, 12, 24]							,					UpperCamelCase__       :   Any=7							,					UpperCamelCase__       :   Dict=4.0							,					UpperCamelCase__       :   Any=True							,					UpperCamelCase__       :   int=0.0							,					UpperCamelCase__       :   Dict=0.0							,					UpperCamelCase__       :   Optional[int]=0.1							,					UpperCamelCase__       :   List[Any]="gelu"							,					UpperCamelCase__       :   Any=False							,					UpperCamelCase__       :   Any=0.02							,					UpperCamelCase__       :   List[str]=1e-5							,					UpperCamelCase__       :   List[str]=None							,					UpperCamelCase__       :   Union[str, Any]=None							,					**UpperCamelCase__       :   str							,					):






          '''simple docstring'''






          super().__init__(**UpperCamelCase__       )

          lowercase_  							=			image_size
          lowercase_  							=			patch_size
          lowercase_  							=			num_channels
          lowercase_  							=			embed_dim
          lowercase_  							=			depths
          lowercase_  							=			len(UpperCamelCase__       )
          lowercase_  							=			num_heads
          lowercase_  							=			window_size
          lowercase_  							=			mlp_ratio
          lowercase_  							=			qkv_bias
          lowercase_  							=			hidden_dropout_prob
          lowercase_  							=			attention_probs_dropout_prob
          lowercase_  							=			drop_path_rate
          lowercase_  							=			hidden_act
          lowercase_  							=			use_absolute_embeddings
          lowercase_  							=			layer_norm_eps
          lowercase_  							=			initializer_range
          # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
          # this indicates the channel dimension after the last stage of the model
          lowercase_  							=			int(embed_dim * 2 ** (len(UpperCamelCase__       ) - 1)       )
          lowercase_  							=			["""stem"""] + [F'''stage{idx}''' for idx in range(1							,					len(UpperCamelCase__       ) + 1       )]
          lowercase_							,					lowercase_  							=			get_aligned_output_features_output_indices(
              out_features=UpperCamelCase__							,					out_indices=UpperCamelCase__							,					stage_names=self.stage_names       )






from __future__ import annotations

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

a					  =     TypeVar('T')







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

					def __init__(     self       :   str							,					UpperCamelCase__       :   int       ):






										'''simple docstring'''






										lowercase_  							=			deque()
										lowercase_  							=			set()
										if not n:
															lowercase_  							=			sys.maxsize
										elif n < 0:
															raise ValueError("""n should be an integer greater than 0."""       )
										else:
															lowercase_  							=			n

					def   UpperCAmelCase__       (     self       :   Optional[int]							,					UpperCamelCase__       :   T       ):






										'''simple docstring'''






										if x not in self.key_reference:
															if len(self.dq_store       ) == LRUCache._MAX_CAPACITY:
																				lowercase_  							=			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   UpperCAmelCase__       (     self       :   List[Any]       ):






										'''simple docstring'''






										for k in self.dq_store:
															print(UpperCamelCase__       )







					def __repr__(     self       :   Optional[Any]       ):






										'''simple docstring'''






										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]"


