






'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a_					= logging.get_logger(__name__)

a_					= {
    'microsoft/beit-base-patch16-224-pt22k': (
        'https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json'
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}






class      __SCREAMING_SNAKE_CASE      (			__lowercase				):
 snake_case_  							=							"""beit"""




 def __init__(      self	:							str					,      __lowercase	:							Any=81_92					,      __lowercase	:							List[Any]=7_68					,      __lowercase	:							Optional[int]=12					,      __lowercase	:							Optional[Any]=12					,      __lowercase	:							Union[str, Any]=30_72					,      __lowercase	:							Optional[int]="gelu"					,      __lowercase	:							Optional[int]=0.0					,      __lowercase	:							Optional[Any]=0.0					,      __lowercase	:							str=0.02					,      __lowercase	:							List[Any]=1e-12					,      __lowercase	:							List[Any]=2_24					,      __lowercase	:							Optional[Any]=16					,      __lowercase	:							Dict=3					,      __lowercase	:							Tuple=False					,      __lowercase	:							Dict=False					,      __lowercase	:							Optional[int]=False					,      __lowercase	:							Optional[Any]=False					,      __lowercase	:							Any=0.1					,      __lowercase	:							str=0.1					,      __lowercase	:							str=True					,      __lowercase	:							Union[str, Any]=[3, 5, 7, 11]					,      __lowercase	:							Dict=[1, 2, 3, 6]					,      __lowercase	:							Union[str, Any]=True					,      __lowercase	:							int=0.4					,      __lowercase	:							List[Any]=2_56					,      __lowercase	:							List[Any]=1					,      __lowercase	:							int=False					,      __lowercase	:							List[str]=2_55					,      **__lowercase	:							List[Any]					,      )	->						Union[str, Any]:
       super().__init__(**__lowercase      )

       SCREAMING_SNAKE_CASE__     :				List[str]									=vocab_size
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=hidden_size
       SCREAMING_SNAKE_CASE__     :				Dict									=num_hidden_layers
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=num_attention_heads
       SCREAMING_SNAKE_CASE__     :				List[Any]									=intermediate_size
       SCREAMING_SNAKE_CASE__     :				str									=hidden_act
       SCREAMING_SNAKE_CASE__     :				List[str]									=hidden_dropout_prob
       SCREAMING_SNAKE_CASE__     :				Any									=attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE__     :				Dict									=initializer_range
       SCREAMING_SNAKE_CASE__     :				Dict									=layer_norm_eps

       SCREAMING_SNAKE_CASE__     :				Tuple									=image_size
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=patch_size
       SCREAMING_SNAKE_CASE__     :				List[str]									=num_channels
       SCREAMING_SNAKE_CASE__     :				int									=use_mask_token
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=use_absolute_position_embeddings
       SCREAMING_SNAKE_CASE__     :				str									=use_relative_position_bias
       SCREAMING_SNAKE_CASE__     :				Dict									=use_shared_relative_position_bias
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=layer_scale_init_value
       SCREAMING_SNAKE_CASE__     :				int									=drop_path_rate
       SCREAMING_SNAKE_CASE__     :				Any									=use_mean_pooling
       # decode head attributes (semantic segmentation)
       SCREAMING_SNAKE_CASE__     :				Any									=out_indices
       SCREAMING_SNAKE_CASE__     :				List[Any]									=pool_scales
       # auxiliary head attributes (semantic segmentation)
       SCREAMING_SNAKE_CASE__     :				List[Any]									=use_auxiliary_head
       SCREAMING_SNAKE_CASE__     :				int									=auxiliary_loss_weight
       SCREAMING_SNAKE_CASE__     :				Any									=auxiliary_channels
       SCREAMING_SNAKE_CASE__     :				Tuple									=auxiliary_num_convs
       SCREAMING_SNAKE_CASE__     :				Tuple									=auxiliary_concat_input
       SCREAMING_SNAKE_CASE__     :				Any									=semantic_loss_ignore_index






class      __SCREAMING_SNAKE_CASE      (			__lowercase				):
 snake_case_  							=							version.parse("""1.11"""				)




 @property
 def      __magic_name__	(      self	:							List[Any]      )	->						Mapping[str, Mapping[int, str]]:
       return OrderedDict(
           [
               ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
           ]      )




 @property
 def      __magic_name__	(      self	:							Optional[int]      )	->						float:
       return 1e-4







'''simple docstring'''
from __future__ import annotations

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

a_					= TypeVar('T')






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




 def __init__(      self	:							Dict					,      __lowercase	:							int      )	->						None:
       SCREAMING_SNAKE_CASE__     :				Any									=deque()
       SCREAMING_SNAKE_CASE__     :				str									=set()
       if not n:
             SCREAMING_SNAKE_CASE__     :				Optional[Any]									=sys.maxsize
       elif n < 0:
             raise ValueError('''n should be an integer greater than 0.'''      )
       else:
             SCREAMING_SNAKE_CASE__     :				Optional[Any]									=n




 def      __magic_name__	(      self	:							List[str]					,      __lowercase	:							T      )	->						None:
       if x not in self.key_reference:
             if len(self.dq_store      ) == LRUCache._MAX_CAPACITY:
                   SCREAMING_SNAKE_CASE__     :				int									=self.dq_store.pop()
                   self.key_reference.remove(__lowercase      )
       else:
             self.dq_store.remove(__lowercase      )

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




 def      __magic_name__	(      self	:							Union[str, Any]      )	->						None:
       for k in self.dq_store:
             print(__lowercase      )




 def __repr__(      self	:							List[Any]      )	->						str:
       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]"