






from collections import deque


def __A    (      __lowerCAmelCase	)->  str:





						"""simple docstring"""



						_UpperCAmelCase									=			len(__lowerCAmelCase	)
						_UpperCAmelCase									=			deque()
						_UpperCAmelCase									=			[False for _ in range(__lowerCAmelCase	)]
						_UpperCAmelCase									=			[-1 for _ in range(__lowerCAmelCase	)]
						_UpperCAmelCase									=			index_of[:]

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

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

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

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

						return components


def __A    (      __lowerCAmelCase ,		__lowerCAmelCase	)->  List[str]:





						"""simple docstring"""



						_UpperCAmelCase									=			[[] for _ in range(__lowerCAmelCase	)]
						for u, v in edges:
												g[u].append(__lowerCAmelCase	)
						return g


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

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


"""simple docstring"""





from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_a														=		{
    """configuration_autoformer""": [
        """AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AutoformerConfig""",
    ],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_a														=		[
				    """AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """AutoformerForPrediction""",
				    """AutoformerModel""",
				    """AutoformerPreTrainedModel""",
				]


if TYPE_CHECKING:
				from .configuration_autoformer import (
				    AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    AutoformerConfig,
				)

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_autoformer import (
								    AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
								    AutoformerForPrediction,
								    AutoformerModel,
								    AutoformerPreTrainedModel,
								)

else:
				import sys

				_a														=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






