



from __future__ import annotations

SCREAMING_SNAKE_CASE__       =      list[list[int]]

# assigning initial values to the grid
SCREAMING_SNAKE_CASE__       =      [
    [3, 0, 6, 5, 0, 8, 4, 0, 0],
    [5, 2, 0, 0, 0, 0, 0, 0, 0],
    [0, 8, 7, 0, 0, 0, 0, 3, 1],
    [0, 0, 3, 0, 1, 0, 0, 8, 0],
    [9, 0, 0, 8, 6, 3, 0, 0, 5],
    [0, 5, 0, 0, 9, 0, 6, 0, 0],
    [1, 3, 0, 0, 0, 0, 2, 5, 0],
    [0, 0, 0, 0, 0, 0, 0, 7, 4],
    [0, 0, 5, 2, 0, 6, 3, 0, 0],
]

# a grid with no solution
SCREAMING_SNAKE_CASE__       =      [
    [5, 0, 6, 5, 0, 8, 4, 0, 3],
    [5, 2, 0, 0, 0, 0, 0, 0, 2],
    [1, 8, 7, 0, 0, 0, 0, 3, 1],
    [0, 0, 3, 0, 1, 0, 0, 8, 0],
    [9, 0, 0, 8, 6, 3, 0, 0, 5],
    [0, 5, 0, 0, 9, 0, 6, 0, 0],
    [1, 3, 0, 0, 0, 0, 2, 5, 0],
    [0, 0, 0, 0, 0, 0, 0, 7, 4],
    [0, 0, 5, 2, 0, 6, 3, 0, 0],
]


def A						(       __UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase					)						->      bool:
			for i in range(9					):
						if grid[row][i] == n or grid[i][column] == n:
									return False

			for i in range(3					):
						for j in range(3					):
									if grid[(row - row % 3) + i][(column - column % 3) + j] == n:
												return False

			return True


def A						(       __UpperCamelCase					)						->      tuple[int, int] | None:
			for i in range(9					):
						for j in range(9					):
									if grid[i][j] == 0:
												return i, j
			return None


def A						(       __UpperCamelCase					)						->      Matrix | None:
			if location := find_empty_location(__UpperCamelCase					):
						A__     , A__       =    location
			else:
						# If the location is ``None``, then the grid is solved.
						return grid

			for digit in range(1 ,	10					):
						if is_safe(__UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase ,	__UpperCamelCase					):
									A__       =    digit

									if sudoku(__UpperCamelCase					) is not None:
												return grid

									A__       =    0

			return None


def A						(       __UpperCamelCase					)						->      None:
			for row in grid:
						for cell in row:
									print(__UpperCamelCase ,	end=' '					)
						print()


if __name__ == "__main__":
							# make a copy of grid so that you can compare with the unmodified grid
							for example_grid in (initial_grid, no_solution):
														print('''\nExample grid:\n''' + '''=''' * 2_0)
														print_solution(example_grid)
														print('''\nExample grid solution:''')
														SCREAMING_SNAKE_CASE__       =      sudoku(example_grid)
														if solution is not None:
																					print_solution(solution)
														else:
																					print('''Cannot find a solution.''')









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					)




