code: 
  
  
  
  
  
  import copy
  from typing import Dict, Optional
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  from ..auto import CONFIG_MAPPING
  
  
  _UpperCamelCase       = logging.get_logger(__name__)
  
  _UpperCamelCase       = {
      '''shi-labs/oneformer_ade20k_swin_tiny''': (
          '''https://huggingface.co/shi-labs/oneformer_ade20k_swin_tiny/blob/main/config.json'''
      ),
      # See all OneFormer models at https://huggingface.co/models?filter=oneformer
  }
  
  
  
  
  class 				_lowerCamelCase (    a    ):
  
  
  
        """simple docstring"""
  
  
  
  
  
  
        UpperCAmelCase_						:      Dict       ="oneformer"
        UpperCAmelCase_						:      List[Any]       ={"hidden_size": "hidden_dim"}
  
  
  
  
  
  
  
        def __init__( self				,						UpperCAmelCase = None				,						UpperCAmelCase = 255				,						UpperCAmelCase = 150				,						UpperCAmelCase = 0.1				,						UpperCAmelCase = 2.0				,						UpperCAmelCase = 5.0				,						UpperCAmelCase = 5.0				,						UpperCAmelCase = 0.5				,						UpperCAmelCase = 0.07				,						UpperCAmelCase = 12544				,						UpperCAmelCase = 3.0				,						UpperCAmelCase = 0.75				,						UpperCAmelCase = 0.02				,						UpperCAmelCase = 1.0				,						UpperCAmelCase = 1E-05				,						UpperCAmelCase = False				,						UpperCAmelCase = True				,						UpperCAmelCase = True				,						UpperCAmelCase = [4, 8, 16, 32]				,						UpperCAmelCase = 77				,						UpperCAmelCase = 256				,						UpperCAmelCase = 77				,						UpperCAmelCase = 6				,						UpperCAmelCase = 49408				,						UpperCAmelCase = 2				,						UpperCAmelCase = 16				,						UpperCAmelCase = 256				,						UpperCAmelCase = 256				,						UpperCAmelCase = 256				,						UpperCAmelCase = 1024				,						UpperCAmelCase = "GN"				,						UpperCAmelCase = 6				,						UpperCAmelCase = 10				,						UpperCAmelCase = True				,						UpperCAmelCase = 8				,						UpperCAmelCase = 0.1				,						UpperCAmelCase = 2048				,						UpperCAmelCase = False				,						UpperCAmelCase = False				,						UpperCAmelCase = 2				,						UpperCAmelCase = 4				,						**UpperCAmelCase				,						)       ->   str:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          if backbone_config is None:
            logger.info("`backbone_config` is unset. Initializing the config with the default `Swin` backbone."   )
            __snake_case   :				Union[str, Any]        =       CONFIG_MAPPING["swin"](
                image_size=224				,						in_channels=3				,						patch_size=4				,						embed_dim=96				,						depths=[2, 2, 6, 2]				,						num_heads=[3, 6, 12, 24]				,						window_size=7				,						drop_path_rate=0.3				,						use_absolute_embeddings=UpperCAmelCase				,						out_features=["stage1", "stage2", "stage3", "stage4"]				,						)
          elif isinstance(UpperCAmelCase				,						UpperCAmelCase   ):
            __snake_case   :				Union[str, Any]        =       backbone_config.get("model_type"   )
            __snake_case   :				Optional[Any]        =       CONFIG_MAPPING[backbone_model_type]
            __snake_case   :				Any        =       config_class.from_dict(UpperCAmelCase   )
  
          __snake_case   :				List[Any]        =       backbone_config
  
          __snake_case   :				List[str]        =       ignore_value
          __snake_case   :				List[Any]        =       num_queries
          __snake_case   :				Any        =       no_object_weight
          __snake_case   :				Any        =       class_weight
          __snake_case   :				Dict        =       mask_weight
          __snake_case   :				Optional[Any]        =       dice_weight
          __snake_case   :				Tuple        =       contrastive_weight
          __snake_case   :				Union[str, Any]        =       contrastive_temperature
          __snake_case   :				List[Any]        =       train_num_points
          __snake_case   :				Any        =       oversample_ratio
          __snake_case   :				Optional[Any]        =       importance_sample_ratio
          __snake_case   :				List[Any]        =       init_std
          __snake_case   :				List[str]        =       init_xavier_std
          __snake_case   :				List[Any]        =       layer_norm_eps
          __snake_case   :				Optional[Any]        =       is_training
          __snake_case   :				List[Any]        =       use_auxiliary_loss
          __snake_case   :				List[Any]        =       output_auxiliary_logits
          __snake_case   :				List[str]        =       strides
          __snake_case   :				Union[str, Any]        =       task_seq_len
          __snake_case   :				List[Any]        =       text_encoder_width
          __snake_case   :				Dict        =       text_encoder_context_length
          __snake_case   :				Dict        =       text_encoder_num_layers
          __snake_case   :				List[str]        =       text_encoder_vocab_size
          __snake_case   :				List[Any]        =       text_encoder_proj_layers
          __snake_case   :				int        =       text_encoder_n_ctx
          __snake_case   :				str        =       conv_dim
          __snake_case   :				Optional[int]        =       mask_dim
          __snake_case   :				Dict        =       hidden_dim
          __snake_case   :				str        =       encoder_feedforward_dim
          __snake_case   :				Optional[int]        =       norm
          __snake_case   :				Optional[Any]        =       encoder_layers
          __snake_case   :				Dict        =       decoder_layers
          __snake_case   :				Union[str, Any]        =       use_task_norm
          __snake_case   :				Dict        =       num_attention_heads
          __snake_case   :				Optional[int]        =       dropout
          __snake_case   :				str        =       dim_feedforward
          __snake_case   :				Optional[Any]        =       pre_norm
          __snake_case   :				str        =       enforce_input_proj
          __snake_case   :				int        =       query_dec_layers
          __snake_case   :				str        =       common_stride
          __snake_case   :				List[Any]        =       decoder_layers
  
          super().__init__(**UpperCAmelCase   )
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self   )       ->   Dict[str, any]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				List[str]        =       copy.deepcopy(self.__dict__   )
          __snake_case   :				Dict        =       self.backbone_config.to_dict()
          __snake_case   :				str        =       self.__class__.model_type
          return output
  
  
style_context: 
  
  
  
  
  
  from __future__ import annotations
  
  from collections.abc import Callable
  from typing import Generic, TypeVar
  
  _UpperCamelCase       = TypeVar('''T''')
  _UpperCamelCase       = TypeVar('''U''')
  
  
  
  
  class 				_lowerCamelCase (    Generic[T, U]    ):
  
  
  
        """simple docstring"""
  
  
  
  
  
  
        def __init__( self				,						UpperCAmelCase				,						UpperCAmelCase   )       ->   Dict:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				Any        =       key
          __snake_case   :				Tuple        =       val
          __snake_case   :				int        =       0
          __snake_case   :				DoubleLinkedListNode[T, U] | None        =       None
          __snake_case   :				DoubleLinkedListNode[T, U] | None        =       None
  
  
  
  
  
  
  
        def __repr__( self   )       ->   str:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          return "Node: key: {}, val: {}, freq: {}, has next: {}, has prev: {}".format(
              self.key				,						self.val				,						self.freq				,						self.next is not None				,						self.prev is not None   )
  
  
  
  
  class 				_lowerCamelCase (    Generic[T, U]    ):
  
  
  
        """simple docstring"""
  
  
  
  
  
  
        def __init__( self   )       ->   None:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				DoubleLinkedListNode[T, U]        =       DoubleLinkedListNode(UpperCAmelCase				,						UpperCAmelCase   )
          __snake_case   :				DoubleLinkedListNode[T, U]        =       DoubleLinkedListNode(UpperCAmelCase				,						UpperCAmelCase   )
          __snake_case    ,   __snake_case   :				Any        =       self.rear, self.head
  
  
  
  
  
  
  
        def __repr__( self   )       ->   str:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				Union[str, Any]        =       ["DoubleLinkedList"]
          __snake_case   :				List[Any]        =       self.head
          while node.next is not None:
            rep.append(str(UpperCAmelCase   )   )
            __snake_case   :				List[Any]        =       node.next
          rep.append(str(self.rear   )   )
          return ",\n    ".join(UpperCAmelCase   )
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase   )       ->   None:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				Dict        =       self.rear.prev
  
          # All nodes other than self.head are guaranteed to have non-None previous
          assert previous is not None
  
          __snake_case   :				int        =       node
          __snake_case   :				List[str]        =       previous
          __snake_case   :				Optional[int]        =       node
          __snake_case   :				int        =       self.rear
          node.freq += 1
          self._position_node(UpperCAmelCase   )
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase   )       ->   None:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          while node.prev is not None and node.prev.freq > node.freq:
            # swap node with previous node
            __snake_case   :				List[Any]        =       node.prev
  
            __snake_case   :				Dict        =       previous_node.prev
            __snake_case   :				Union[str, Any]        =       node.prev
            __snake_case   :				Union[str, Any]        =       previous_node
            __snake_case   :				int        =       node
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase   )       ->   DoubleLinkedListNode[T, U] | None:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          if node.prev is None or node.next is None:
            return None
  
          __snake_case   :				Optional[int]        =       node.next
          __snake_case   :				Optional[Any]        =       node.prev
          __snake_case   :				Optional[int]        =       None
          __snake_case   :				Any        =       None
          return node
  
  
  
  
  class 				_lowerCamelCase (    Generic[T, U]    ):
  
  
  
        """simple docstring"""
  
  
  
  
  
  
        UpperCAmelCase_						:      dict[Callable[[T], U], LFUCache[T, U]]       ={}
  
  
  
  
  
  
  
        def __init__( self				,						UpperCAmelCase   )       ->   Tuple:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          __snake_case   :				DoubleLinkedList[T, U]        =       DoubleLinkedList()
          __snake_case   :				str        =       capacity
          __snake_case   :				str        =       0
          __snake_case   :				Optional[int]        =       0
          __snake_case   :				Any        =       0
          __snake_case   :				dict[T, DoubleLinkedListNode[T, U]]        =       {}
  
  
  
  
  
  
  
        def __repr__( self   )       ->   str:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          return (
              F"""CacheInfo(hits={self.hits}, misses={self.miss}, """
              F"""capacity={self.capacity}, current_size={self.num_keys})"""
          )
  
  
  
  
  
  
  
        def __contains__( self				,						UpperCAmelCase   )       ->   bool:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          return key in self.cache
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase   )       ->   U | None:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          if key in self.cache:
            self.hits += 1
            __snake_case   :				DoubleLinkedListNode[T, U]        =       self.cache[key]
            __snake_case   :				Union[str, Any]        =       self.list.remove(self.cache[key]   )
            assert node == value_node
  
            # node is guaranteed not None because it is in self.cache
            assert node is not None
            self.list.add(UpperCAmelCase   )
            return node.val
          self.miss += 1
          return None
  
  
  
  
  
  
  
        def 						UpperCAmelCase		( self				,						UpperCAmelCase				,						UpperCAmelCase   )       ->   None:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          if key not in self.cache:
            if self.num_keys >= self.capacity:
              # delete first node when over capacity
              __snake_case   :				Optional[Any]        =       self.list.head.next
  
              # guaranteed to have a non-None first node when num_keys > 0
              # explain to type checker via assertions
              assert first_node is not None
              assert first_node.key is not None
              assert self.list.remove(UpperCAmelCase   ) is not None
              # first_node guaranteed to be in list
  
              del self.cache[first_node.key]
              self.num_keys -= 1
            __snake_case   :				Union[str, Any]        =       DoubleLinkedListNode(UpperCAmelCase				,						UpperCAmelCase   )
            self.list.add(self.cache[key]   )
            self.num_keys += 1
  
          else:
            __snake_case   :				Union[str, Any]        =       self.list.remove(self.cache[key]   )
            assert node is not None  # node guaranteed to be in list
            __snake_case   :				Optional[Any]        =       value
            self.list.add(UpperCAmelCase   )
  
  
  
  
  
  
  
        @classmethod
        def 						UpperCAmelCase		( cls				,						UpperCAmelCase = 128   )       ->   Callable[[Callable[[T], U]], Callable[..., U]]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          def cache_decorator_inner(UpperCAmelCase   ) -> Callable[..., U]:
            def cache_decorator_wrapper(*UpperCAmelCase   ) -> U:
              if func not in cls.decorator_function_to_instance_map:
                __snake_case   :				str        =       LFUCache(UpperCAmelCase   )
  
              __snake_case   :				Dict        =       cls.decorator_function_to_instance_map[func].get(args[0]   )
              if result is None:
                __snake_case   :				Optional[int]        =       func(*UpperCAmelCase   )
                cls.decorator_function_to_instance_map[func].put(args[0]				,						UpperCAmelCase   )
              return result
  
            def cache_info() -> LFUCache[T, U]:
              return cls.decorator_function_to_instance_map[func]
  
            setattr(UpperCAmelCase				,						"cache_info"				,						UpperCAmelCase   )  # noqa: B010
  
            return cache_decorator_wrapper
  
          return cache_decorator_inner
  
  
  if __name__ == "__main__":
       import doctest
  
       doctest.testmod()
  
  