

from __future__ import annotations

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

lowerCAmelCase__			=		TypeVar("""T""")







class 	lowercase    (				Generic[T]							):


		"""simple docstring"""




		a__					       =  4_2  # Cache store of keys
		a__					       =  4_2  # References of the keys in cache
		a__					       =  1_0  # Maximum capacity of cache


		def __init__(				self	,       __snake_case):
			_UpperCamelCase   :		str			=						deque()
			_UpperCamelCase   :		str			=						set()
			if not n:
				_UpperCamelCase   :		Union[str, Any]			=						sys.maxsize
			elif n < 0:
				raise ValueError('n should be an integer greater than 0.')
			else:
				_UpperCamelCase   :		Tuple			=						n


		def 		A__					(				self	,       __snake_case):
			if x not in self.key_reference:
				if len(self.dq_store) == LRUCache._MAX_CAPACITY:
					_UpperCamelCase   :		Any			=						self.dq_store.pop()
					self.key_reference.remove(__snake_case)
			else:
				self.dq_store.remove(__snake_case)

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


		def 		A__					(				self):
			for k in self.dq_store:
				print(__snake_case)






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


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							lowerCAmelCase__			=		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 ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase__								=		logging.get_logger(__name__)

lowerCAmelCase__								=		{
    """facebook/vit-mae-base""": """https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json""",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}







class 	lowercase    (				_lowercase							):


		"""simple docstring"""




		a__					       =  "vit_mae"


		def __init__(				self	,       __snake_case=7_68	,       __snake_case=12	,       __snake_case=12	,       __snake_case=30_72	,       __snake_case="gelu"	,       __snake_case=0.0	,       __snake_case=0.0	,       __snake_case=0.0_2	,       __snake_case=1e-12	,       __snake_case=2_24	,       __snake_case=16	,       __snake_case=3	,       __snake_case=True	,       __snake_case=16	,       __snake_case=5_12	,       __snake_case=8	,       __snake_case=20_48	,       __snake_case=0.7_5	,       __snake_case=False	,       **__snake_case	,       ):
			super().__init__(**__snake_case)

			_UpperCamelCase   :		Optional[int]			=						hidden_size
			_UpperCamelCase   :		Optional[int]			=						num_hidden_layers
			_UpperCamelCase   :		Tuple			=						num_attention_heads
			_UpperCamelCase   :		List[str]			=						intermediate_size
			_UpperCamelCase   :		str			=						hidden_act
			_UpperCamelCase   :		List[str]			=						hidden_dropout_prob
			_UpperCamelCase   :		List[Any]			=						attention_probs_dropout_prob
			_UpperCamelCase   :		str			=						initializer_range
			_UpperCamelCase   :		Any			=						layer_norm_eps
			_UpperCamelCase   :		int			=						image_size
			_UpperCamelCase   :		Any			=						patch_size
			_UpperCamelCase   :		List[Any]			=						num_channels
			_UpperCamelCase   :		Union[str, Any]			=						qkv_bias
			_UpperCamelCase   :		str			=						decoder_num_attention_heads
			_UpperCamelCase   :		Union[str, Any]			=						decoder_hidden_size
			_UpperCamelCase   :		Union[str, Any]			=						decoder_num_hidden_layers
			_UpperCamelCase   :		Any			=						decoder_intermediate_size
			_UpperCamelCase   :		int			=						mask_ratio
			_UpperCamelCase   :		List[Any]			=						norm_pix_loss




