


from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case							:       Optional[Any]										=	logging.get_logger(__name__)

snake_case							:       Optional[Any]										=	{
    '''microsoft/swinv2-tiny-patch4-window8-256''': (
        '''https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json'''
    ),
}







class 						_snake_case    ( _snake_case				):
 SCREAMING_SNAKE_CASE__ =			'swinv2'

 SCREAMING_SNAKE_CASE__ =			{
     'num_attention_heads': 'num_heads',
     'num_hidden_layers': 'num_layers',
 }




 def __init__(						self   ,    _lowerCamelCase=224   ,    _lowerCamelCase=4   ,    _lowerCamelCase=3   ,    _lowerCamelCase=96   ,    _lowerCamelCase=[2, 2, 6, 2]   ,    _lowerCamelCase=[3, 6, 12, 24]   ,    _lowerCamelCase=7   ,    _lowerCamelCase=4.0   ,    _lowerCamelCase=True   ,    _lowerCamelCase=0.0   ,    _lowerCamelCase=0.0   ,    _lowerCamelCase=0.1   ,    _lowerCamelCase="gelu"   ,    _lowerCamelCase=False   ,    _lowerCamelCase=0.02   ,    _lowerCamelCase=1e-5   ,    _lowerCamelCase=32   ,    **_lowerCamelCase   ,    ):
       super().__init__(**_lowerCamelCase       )

       a		:int									=			image_size
       a		:int									=			patch_size
       a		:Any									=			num_channels
       a		:Dict									=			embed_dim
       a		:str									=			depths
       a		:List[Any]									=			len(_lowerCamelCase       )
       a		:Optional[Any]									=			num_heads
       a		:Union[str, Any]									=			window_size
       a		:List[str]									=			mlp_ratio
       a		:Tuple									=			qkv_bias
       a		:int									=			hidden_dropout_prob
       a		:List[str]									=			attention_probs_dropout_prob
       a		:List[Any]									=			drop_path_rate
       a		:List[Any]									=			hidden_act
       a		:List[str]									=			use_absolute_embeddings
       a		:Union[str, Any]									=			layer_norm_eps
       a		:Dict									=			initializer_range
       a		:List[Any]									=			encoder_stride
       # we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
       # this indicates the channel dimension after the last stage of the model
       a		:List[Any]									=			int(embed_dim * 2 ** (len(_lowerCamelCase       ) - 1)       )
       a		:int									=			(0, 0, 0, 0)









snake_case							:       Any										=	{0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}

snake_case							:       Any										=	{0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}
def 							__lowerCamelCase		(					UpperCAmelCase_		:						dict[int, list[int]]					,    UpperCAmelCase_		:						int					,    UpperCAmelCase_		:						list[bool]		):




      """simple docstring"""





      a		:Any									=			True
      a		:Any									=			[]

      for neighbour in graph[vert]:
            if not visited[neighbour]:
                  order += topology_sort(UpperCAmelCase_					,    UpperCAmelCase_					,    UpperCAmelCase_		)

      order.append(UpperCAmelCase_		)

      return order
def 							__lowerCamelCase		(					UpperCAmelCase_		:						dict[int, list[int]]					,    UpperCAmelCase_		:						int					,    UpperCAmelCase_		:						list[bool]		):




      """simple docstring"""





      a		:Optional[Any]									=			True
      a		:int									=			[vert]

      for neighbour in reversed_graph[vert]:
            if not visited[neighbour]:
                  component += find_components(UpperCAmelCase_					,    UpperCAmelCase_					,    UpperCAmelCase_		)

      return component






def 							__lowerCamelCase		(					UpperCAmelCase_		:						dict[int, list[int]]		):




      """simple docstring"""





      a		:int									=			len(UpperCAmelCase_		) * [False]
      a		:dict[int, list[int]]									=			{vert: [] for vert in range(len(UpperCAmelCase_		)		)}

      for vert, neighbours in graph.items():
            for neighbour in neighbours:
                  reversed_graph[neighbour].append(UpperCAmelCase_		)

      a		:Optional[Any]									=			[]
      for i, was_visited in enumerate(UpperCAmelCase_		):
            if not was_visited:
                  order += topology_sort(UpperCAmelCase_					,    UpperCAmelCase_					,    UpperCAmelCase_		)

      a		:Tuple									=			[]
      a		:int									=			len(UpperCAmelCase_		) * [False]

      for i in range(len(UpperCAmelCase_		)		):
            a		:Union[str, Any]									=			order[len(UpperCAmelCase_		) - i - 1]
            if not visited[vert]:
                  a		:Union[str, Any]									=			find_components(UpperCAmelCase_					,    UpperCAmelCase_					,    UpperCAmelCase_		)
                  components_list.append(UpperCAmelCase_		)

      return components_list





