

def 			lowerCamelCase__			(       _a):
	return [
	    {
	        0: [1, 2],
	        1: [0, 2],
	        2: [0, 1, 3, 5],
	        3: [2, 4],
	        4: [3],
	        5: [2, 6, 8],
	        6: [5, 7],
	        7: [6, 8],
	        8: [5, 7],
	    },
	    {
	        0: [6],
	        1: [9],
	        2: [4, 5],
	        3: [4],
	        4: [2, 3],
	        5: [2],
	        6: [0, 7],
	        7: [6],
	        8: [],
	        9: [1],
	    },
	    {
	        0: [4],
	        1: [6],
	        2: [],
	        3: [5, 6, 7],
	        4: [0, 6],
	        5: [3, 8, 9],
	        6: [1, 3, 4, 7],
	        7: [3, 6, 8, 9],
	        8: [5, 7],
	        9: [5, 7],
	    },
	    {
	        0: [1, 3],
	        1: [0, 2, 4],
	        2: [1, 3, 4],
	        3: [0, 2, 4],
	        4: [1, 2, 3],
	    },
	][index]

def 			lowerCamelCase__			(       _a):
	SCREAMING_SNAKE_CASE :   List[Any]					  =							0
	SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							len(_a)  # No of vertices in graph
	SCREAMING_SNAKE_CASE :   str					  =							[0] * n
	SCREAMING_SNAKE_CASE :   str					  =							[False] * n

	def dfs(_a				,      _a				,      _a				,      _a):
		SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							True
		SCREAMING_SNAKE_CASE :   str					  =							id_
		id_ += 1
		for to in graph[at]:
			if to == parent:
				pass
			elif not visited[to]:
				dfs(_a				,      _a				,      _a				,      id_)
				SCREAMING_SNAKE_CASE :   List[Any]					  =							min(low[at]				,      low[to])
				if id_ <= low[to]:
					bridges.append((at, to) if at < to else (to, at))
			else:
				# This edge is a back edge and cannot be a bridge
				SCREAMING_SNAKE_CASE :   Tuple					  =							min(low[at]				,      low[to])

	SCREAMING_SNAKE_CASE :   list[tuple[int, int]]					  =							[]
	for i in range(_a):
		if not visited[i]:
			dfs(_a				,      -1				,      _a				,      id_)
	return bridges


if __name__ == "__main__":
			import doctest

			doctest.testmod()


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a_      =     {
    'configuration_swinv2': ['SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Swinv2Config'],
}


try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			a_      =     [
			    'SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'Swinv2ForImageClassification',
			    'Swinv2ForMaskedImageModeling',
			    'Swinv2Model',
			    'Swinv2PreTrainedModel',
			]


if TYPE_CHECKING:
			from .configuration_swinva import SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinvaConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_swinva import (
						    SWINV2_PRETRAINED_MODEL_ARCHIVE_LIST,
						    SwinvaForImageClassification,
						    SwinvaForMaskedImageModeling,
						    SwinvaModel,
						    SwinvaPreTrainedModel,
						)


else:
			import sys

			a_      =     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)