


"""simple docstring"""







def _A						(						lowercase	,   lowercase	,   lowercase	,   lowercase=None		):







    """simple docstring"""
    a					=(path or []) + [u]
    for v in graph[u]:
        if visited_edge[u][v] is False:
            a		,				a					=True, True
            a					=dfs(lowercase	,   lowercase	,   lowercase	,   lowercase		)
    return path
def _A						(						lowercase	,   lowercase		):







    """simple docstring"""
    a					=0
    a					=-1
    for i in range(lowercase		):
        if i not in graph.keys():
            continue
        if len(graph[i]		) % 2 == 1:
            odd_degree_nodes += 1
            a					=i
    if odd_degree_nodes == 0:
        return 1, odd_node
    if odd_degree_nodes == 2:
        return 2, odd_node
    return 3, odd_node
def _A						(						lowercase	,   lowercase		):







    """simple docstring"""
    a					=[[False for _ in range(max_node + 1		)] for _ in range(max_node + 1		)]
    a		,				a					=check_circuit_or_path(lowercase	,   lowercase		)
    if check == 3:
        print('''graph is not Eulerian'''		)
        print('''no path'''		)
        return
    a					=1
    if check == 2:
        a					=odd_node
        print('''graph has a Euler path'''		)
    if check == 1:
        print('''graph has a Euler cycle'''		)
    a					=dfs(lowercase	,   lowercase	,   lowercase		)
    print(lowercase		)
def _A						(						):







    """simple docstring"""
    a					={1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}
    a					={1: [2, 3, 4, 5], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [1, 4]}
    a					={1: [2, 3, 4], 2: [1, 3, 4], 3: [1, 2], 4: [1, 2, 5], 5: [4]}
    a					={1: [2, 3], 2: [1, 3], 3: [1, 2]}
    a					={
        1: [],
        2: []
        # all degree is zero
    }
    a					=10
    check_euler(lowercase	,   lowercase		)
    check_euler(lowercase	,   lowercase		)
    check_euler(lowercase	,   lowercase		)
    check_euler(lowercase	,   lowercase		)
    check_euler(lowercase	,   lowercase		)


if __name__ == "__main__":
       main()





"""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