



from collections import deque


def A						(       __UpperCamelCase					)						->      List[Any]:
			A__       =    len(__UpperCamelCase					)
			A__       =    deque()
			A__       =    [False for _ in range(__UpperCamelCase					)]
			A__       =    [-1 for _ in range(__UpperCamelCase					)]
			A__       =    index_of[:]

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

						for w in g[v]:
									if index_of[w] == -1:
												A__       =    strong_connect(__UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase					)
												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(__UpperCamelCase					)
									while w != v:
												A__       =    stack.pop()
												A__       =    False
												component.append(__UpperCamelCase					)
									components.append(__UpperCamelCase					)
						return index

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

			return components


def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      Dict:
			A__       =    [[] for _ in range(__UpperCamelCase					)]
			for u, v in edges:
						g[u].append(__UpperCamelCase					)
			return g


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

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









import pytest

import datasets


# Import fixture modules as plugins
SCREAMING_SNAKE_CASE__       =      ['''tests.fixtures.files''', '''tests.fixtures.hub''', '''tests.fixtures.fsspec''']


def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      Optional[int]:
			# Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
			for item in items:
						if any(marker in item.keywords for marker in ['integration', 'unit']					):
									continue
						item.add_marker(pytest.mark.unit					)


def A						(       __UpperCamelCase					)						->      str:
			config.addinivalue_line('markers' ,	'torchaudio_latest: mark test to run with torchaudio>=0.12'					)


@pytest.fixture(autouse=__UpperCamelCase					)
def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      Union[str, Any]:
			# test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
			A__       =    tmp_path_factory.getbasetemp() / 'cache'
			A__       =    test_hf_cache_home / 'datasets'
			A__       =    test_hf_cache_home / 'metrics'
			A__       =    test_hf_cache_home / 'modules'
			monkeypatch.setattr('datasets.config.HF_DATASETS_CACHE' ,	str(__UpperCamelCase					)					)
			monkeypatch.setattr('datasets.config.HF_METRICS_CACHE' ,	str(__UpperCamelCase					)					)
			monkeypatch.setattr('datasets.config.HF_MODULES_CACHE' ,	str(__UpperCamelCase					)					)
			A__       =    test_hf_datasets_cache / 'downloads'
			monkeypatch.setattr('datasets.config.DOWNLOADED_DATASETS_PATH' ,	str(__UpperCamelCase					)					)
			A__       =    test_hf_datasets_cache / 'downloads' / 'extracted'
			monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH' ,	str(__UpperCamelCase					)					)


@pytest.fixture(autouse=__UpperCamelCase ,	scope='session'					)
def A						(       )						->      Union[str, Any]:
			datasets.disable_progress_bar()


@pytest.fixture(autouse=__UpperCamelCase					)
def A						(       __UpperCamelCase					)						->      int:
			# don't take tests into account when counting downloads
			monkeypatch.setattr('datasets.config.HF_UPDATE_DOWNLOAD_COUNTS' ,	__UpperCamelCase					)






@pytest.fixture
def A						(       __UpperCamelCase					)						->      Any:
			# Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
			# To be removed once SQLAlchemy 2.0 supported
			monkeypatch.setattr('sqlalchemy.util.deprecations.SILENCE_UBER_WARNING' ,	__UpperCamelCase					)




