


import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig


a					  =     logging.get_logger(__name__)

a					  =     {
    '''Intel/dpt-large''': '''https://huggingface.co/Intel/dpt-large/resolve/main/config.json''',
    # See all DPT models at https://huggingface.co/models?filter=dpt
}







class        UpperCamelCase__   (	__magic_name__   ):
     __SCREAMING_SNAKE_CASE       :  Optional[int]						=   'dpt'

     def __init__(     self       :   Tuple							,					UpperCamelCase__       :   List[str]=768							,					UpperCamelCase__       :   Tuple=12							,					UpperCamelCase__       :   Tuple=12							,					UpperCamelCase__       :   Union[str, Any]=3_072							,					UpperCamelCase__       :   Tuple="gelu"							,					UpperCamelCase__       :   str=0.0							,					UpperCamelCase__       :   Any=0.0							,					UpperCamelCase__       :   List[str]=0.02							,					UpperCamelCase__       :   int=1e-12							,					UpperCamelCase__       :   List[Any]=384							,					UpperCamelCase__       :   int=16							,					UpperCamelCase__       :   Union[str, Any]=3							,					UpperCamelCase__       :   Union[str, Any]=False							,					UpperCamelCase__       :   Optional[Any]=True							,					UpperCamelCase__       :   Union[str, Any]=[2, 5, 8, 11]							,					UpperCamelCase__       :   Tuple="project"							,					UpperCamelCase__       :   Tuple=[4, 2, 1, 0.5]							,					UpperCamelCase__       :   List[Any]=[96, 192, 384, 768]							,					UpperCamelCase__       :   Any=256							,					UpperCamelCase__       :   Tuple=-1							,					UpperCamelCase__       :   Dict=False							,					UpperCamelCase__       :   int=True							,					UpperCamelCase__       :   Dict=0.4							,					UpperCamelCase__       :   List[str]=255							,					UpperCamelCase__       :   str=0.1							,					UpperCamelCase__       :   Union[str, Any]=[1, 1_024, 24, 24]							,					UpperCamelCase__       :   List[str]=[0, 1]							,					UpperCamelCase__       :   Optional[Any]=None							,					**UpperCamelCase__       :   Dict							,					):






          '''simple docstring'''






          super().__init__(**UpperCamelCase_       )

          lowercase_  							=			hidden_size
          lowercase_  							=			is_hybrid

          if self.is_hybrid:
               if backbone_config is None:
                    logger.info("""Initializing the config with a `BiT` backbone."""       )
                    lowercase_  							=			{
                        'global_padding': 'same',
                        'layer_type': 'bottleneck',
                        'depths': [3, 4, 9],
                        'out_features': ['stage1', 'stage2', 'stage3'],
                        'embedding_dynamic_padding': True,
                    }
                    lowercase_  							=			BitConfig(**UpperCamelCase_       )
               elif isinstance(UpperCamelCase_							,					UpperCamelCase_       ):
                    logger.info("""Initializing the config with a `BiT` backbone."""       )
                    lowercase_  							=			BitConfig(**UpperCamelCase_       )
               elif isinstance(UpperCamelCase_							,					UpperCamelCase_       ):
                    lowercase_  							=			backbone_config
               else:
                    raise ValueError(
                        F'''backbone_config must be a dictionary or a `PretrainedConfig`, got {backbone_config.__class__}.'''       )

               lowercase_  							=			backbone_featmap_shape
               lowercase_  							=			neck_ignore_stages

               if readout_type != "project":
                    raise ValueError("""Readout type must be \'project\' when using `DPT-hybrid` mode."""       )
          else:
               lowercase_  							=			None
               lowercase_  							=			None
               lowercase_  							=			[]

          lowercase_  							=			num_hidden_layers
          lowercase_  							=			num_attention_heads
          lowercase_  							=			intermediate_size
          lowercase_  							=			hidden_act
          lowercase_  							=			hidden_dropout_prob
          lowercase_  							=			attention_probs_dropout_prob
          lowercase_  							=			initializer_range
          lowercase_  							=			layer_norm_eps
          lowercase_  							=			image_size
          lowercase_  							=			patch_size
          lowercase_  							=			num_channels
          lowercase_  							=			qkv_bias
          lowercase_  							=			backbone_out_indices
          if readout_type not in ["ignore", "add", "project"]:
               raise ValueError("""Readout_type must be one of [\'ignore\', \'add\', \'project\']"""       )
          lowercase_  							=			readout_type
          lowercase_  							=			reassemble_factors
          lowercase_  							=			neck_hidden_sizes
          lowercase_  							=			fusion_hidden_size
          lowercase_  							=			head_in_index
          lowercase_  							=			use_batch_norm_in_fusion_residual
          # auxiliary head attributes (semantic segmentation)
          lowercase_  							=			use_auxiliary_head
          lowercase_  							=			auxiliary_loss_weight
          lowercase_  							=			semantic_loss_ignore_index
          lowercase_  							=			semantic_classifier_dropout







     def   UpperCAmelCase__       (     self       :   Union[str, Any]       ):






          '''simple docstring'''






          lowercase_  							=			copy.deepcopy(self.__dict__       )

          if output["backbone_config"] is not None:
               lowercase_  							=			self.backbone_config.to_dict()

          lowercase_  							=			self.__class__.model_type
          return output






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]"


