


"""simple docstring"""







from collections import deque
def _A						(						lowercase		):







    """simple docstring"""
    a					=len(lowercase		)
    a					=deque()
    a					=[False for _ in range(lowercase		)]
    a					=[-1 for _ in range(lowercase		)]
    a					=index_of[:]

    def strong_connect(lowercase	,   lowercase	,   lowercase		):
        a					=index  # the number when this node is seen
        a					=index  # lowest rank node reachable from here
        index += 1
        stack.append(lowercase		)
        a					=True

        for w in g[v]:
            if index_of[w] == -1:
                a					=strong_connect(lowercase	,   lowercase	,   lowercase		)
                a					=(
                    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                )
            elif on_stack[w]:
                a					=(
                    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                )

        if lowlink_of[v] == index_of[v]:
            a					=[]
            a					=stack.pop()
            a					=False
            component.append(lowercase		)
            while w != v:
                a					=stack.pop()
                a					=False
                component.append(lowercase		)
            components.append(lowercase		)
        return index

    a					=[]
    for v in range(lowercase		):
        if index_of[v] == -1:
            strong_connect(lowercase	,   0	,   lowercase		)

    return components
def _A						(						lowercase	,   lowercase		):







    """simple docstring"""
    a					=[[] for _ in range(lowercase		)]
    for u, v in edges:
        g[u].append(lowercase		)
    return g


if __name__ == "__main__":
       # Test
       lowerCamelCase_       :       str      						=  7
       lowerCamelCase_       :       str      						=  [0, 0, 1, 2, 3, 3, 4, 4, 6]
       lowerCamelCase_       :       Optional[int]      						=  [1, 3, 2, 0, 1, 4, 5, 6, 5]
       lowerCamelCase_       :       str      						=  [(u, v) for u, v in zip(source, target)]
       lowerCamelCase_       :       Any      						=  create_graph(n_vertices, edges)

       assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)





"""simple docstring"""







import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


lowerCamelCase_       :       int      						=  logging.get_logger(__name__)






class 				__A    (	_SCREAMING_SNAKE_CASE      ):






 """simple docstring"""




 __lowerCAmelCase			 =  "upernet"


 def __init__(		self			,   __A=None			,   __A=512			,   __A=0.02			,   __A=[1, 2, 3, 6]			,   __A=True			,   __A=0.4			,   __A=384			,   __A=256			,   __A=1			,   __A=False			,   __A=255			,   **__A			,   ) ->					Tuple:
     super().__init__(**__A						)

     if backbone_config is None:
         logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''						)
         a					=CONFIG_MAPPING['''resnet'''](out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']						)
     elif isinstance(__A			,   __A						):
         a					=backbone_config.get('''model_type'''						)
         a					=CONFIG_MAPPING[backbone_model_type]
         a					=config_class.from_dict(__A						)

     a					=backbone_config
     a					=hidden_size
     a					=initializer_range
     a					=pool_scales
     a					=use_auxiliary_head
     a					=auxiliary_loss_weight
     a					=auxiliary_in_channels
     a					=auxiliary_channels
     a					=auxiliary_num_convs
     a					=auxiliary_concat_input
     a					=loss_ignore_index





 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Dict:
     a					=copy.deepcopy(self.__dict__						)
     a					=self.backbone_config.to_dict()
     a					=self.__class__.model_type
     return output