


'''simple docstring'''






import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


__UpperCAmelCase       							=				namedtuple(
    '''_TestCommandArgs''',
    [
        '''dataset''',
        '''name''',
        '''cache_dir''',
        '''data_dir''',
        '''all_configs''',
        '''save_infos''',
        '''ignore_verifications''',
        '''force_redownload''',
        '''clear_cache''',
    ],
    defaults=[None, None, None, False, False, False, False, False],
)


def    _snake_case  (	A					,       A			)		->       str:
							return (abs(source - target			) / target) < 0.01






@pytest.mark.integration
def    _snake_case  (	A			)		->       List[str]:
							lowerCAmelCase__			  =      _TestCommandArgs(dataset=A					,       all_configs=A					,       save_infos=A			)
							lowerCAmelCase__			  =      TestCommand(*A			)
							test_command.run()
							lowerCAmelCase__			  =      os.path.join(A					,       '''README.md'''			)
							assert os.path.exists(A			)
							lowerCAmelCase__			  =      DatasetInfosDict.from_directory(A			)
							lowerCAmelCase__			  =      DatasetInfosDict(
							    {
							        '''default''': DatasetInfo(
							            features=Features(
							                {
							                    '''tokens''': Sequence(Value('''string'''			)			),
							                    '''ner_tags''': Sequence(
							                        ClassLabel(names=['''O''', '''B-PER''', '''I-PER''', '''B-ORG''', '''I-ORG''', '''B-LOC''', '''I-LOC''']			)			),
							                    '''langs''': Sequence(Value('''string'''			)			),
							                    '''spans''': Sequence(Value('''string'''			)			),
							                }			)					,       splits=[
							                {
							                    '''name''': '''train''',
							                    '''num_bytes''': 2351563,
							                    '''num_examples''': 10000,
							                },
							                {
							                    '''name''': '''validation''',
							                    '''num_bytes''': 238418,
							                    '''num_examples''': 1000,
							                },
							            ]					,       download_size=3940680					,       dataset_size=2589981					,       )
							    }			)
							assert dataset_infos.keys() == expected_dataset_infos.keys()
							for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
														lowerCAmelCase__  ,   lowerCAmelCase__			  =      getattr(dataset_infos['''default''']					,       A			), getattr(expected_dataset_infos['''default''']					,       A			)
														if key == "num_bytes":
																					assert is_apercent_close(A					,       A			)
														elif key == "splits":
																					assert list(A			) == list(A			)
																					for split in result:
																												assert result[split].name == expected[split].name
																												assert result[split].num_examples == expected[split].num_examples
																												assert is_apercent_close(result[split].num_bytes					,       expected[split].num_bytes			)
														else:
																					result == expected



'''simple docstring'''






from __future__ import annotations

__UpperCAmelCase       							=				list[list[int]]

# assigning initial values to the grid
__UpperCAmelCase       							=				[
    [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
__UpperCAmelCase       							=				[
    [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    _snake_case  (	A					,       A					,       A					,       A			)		->       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    _snake_case  (	A			)		->       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    _snake_case  (	A			)		->       Matrix | None:
							if location := find_empty_location(A			):
														lowerCAmelCase__  ,   lowerCAmelCase__			  =      location
							else:
														# If the location is ``None``, then the grid is solved.
														return grid

							for digit in range(1					,       10			):
														if is_safe(A					,       A					,       A					,       A			):
																					lowerCAmelCase__			  =      digit

																					if sudoku(A			) is not None:
																												return grid

																					lowerCAmelCase__			  =      0

							return None


def    _snake_case  (	A			)		->       None:
							for row in grid:
														for cell in row:
																					print(A					,       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''' + '''=''' * 20)
				print_solution(example_grid)
				print('''\nExample grid solution:''')
				__UpperCAmelCase       							=				sudoku(example_grid)
				if solution is not None:
						print_solution(solution)
				else:
						print('''Cannot find a solution.''')