




from __future__ import annotations

UpperCamelCase__ :   str						=							list[list[int]]

# assigning initial values to the grid
UpperCamelCase__ :   Matrix						=							[
    [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__ :   Matrix						=							[
    [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        __UpperCAmelCase						(							lowerCamelCase_ :     Matrix  ,							lowerCamelCase_ :     int  ,							lowerCamelCase_ :     int  ,							lowerCamelCase_ :     int  )       ->  bool:







			"""simple docstring"""





			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        __UpperCAmelCase						(							lowerCamelCase_ :     Matrix  )       ->  tuple[int, int] | None:







			"""simple docstring"""





			for i in range(9  ):
						for j in range(9  ):
									if grid[i][j] == 0:
												return i, j
			return None





def        __UpperCAmelCase						(							lowerCamelCase_ :     Matrix  )       ->  Matrix | None:







			"""simple docstring"""





			if location := find_empty_location(lowerCamelCase_  ):
						SCREAMING_SNAKE_CASE_  ,    SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      location
			else:
						# If the location is ``None``, then the grid is solved.
						return grid

			for digit in range(1  ,							10  ):
						if is_safe(lowerCamelCase_  ,							lowerCamelCase_  ,							lowerCamelCase_  ,							lowerCamelCase_  ):
									SCREAMING_SNAKE_CASE_   : int					  =      digit

									if sudoku(lowerCamelCase_  ) is not None:
												return grid

									SCREAMING_SNAKE_CASE_   : List[str]					  =      0

			return None





def        __UpperCAmelCase						(							lowerCamelCase_ :     Matrix  )       ->  None:







			"""simple docstring"""





			for row in grid:
						for cell in row:
									print(lowerCamelCase_  ,							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__ :   Any						=							sudoku(example_grid)
												if solution is not None:
																		print_solution(solution)
												else:
																		print('''Cannot find a solution.''')









from ....configuration_utils import PretrainedConfig
from ....utils import logging


UpperCamelCase__ :   Any						=							logging.get_logger(__name__)

UpperCamelCase__ :   Any						=							{
    '''Visual-Attention-Network/van-base''': (
        '''https://huggingface.co/Visual-Attention-Network/van-base/blob/main/config.json'''
    ),
}







class 				lowerCAmelCase_       (					lowerCamelCase_							):
				__a     :       List[Any]						=     "van"






				def __init__(			self      ,snake_case__=224      ,snake_case__=3      ,snake_case__=[7, 3, 3, 3]      ,snake_case__=[4, 2, 2, 2]      ,snake_case__=[64, 128, 320, 512]      ,snake_case__=[3, 3, 12, 3]      ,snake_case__=[8, 8, 4, 4]      ,snake_case__="gelu"      ,snake_case__=0.02      ,snake_case__=1E-6      ,snake_case__=1E-2      ,snake_case__=0.0      ,snake_case__=0.0      ,**snake_case__      ,):
							super().__init__(**snake_case__ )
							SCREAMING_SNAKE_CASE_   : Tuple					  =      image_size
							SCREAMING_SNAKE_CASE_   : List[str]					  =      num_channels
							SCREAMING_SNAKE_CASE_   : Dict					  =      patch_sizes
							SCREAMING_SNAKE_CASE_   : str					  =      strides
							SCREAMING_SNAKE_CASE_   : str					  =      hidden_sizes
							SCREAMING_SNAKE_CASE_   : str					  =      depths
							SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      mlp_ratios
							SCREAMING_SNAKE_CASE_   : Optional[int]					  =      hidden_act
							SCREAMING_SNAKE_CASE_   : Optional[int]					  =      initializer_range
							SCREAMING_SNAKE_CASE_   : Optional[int]					  =      layer_norm_eps
							SCREAMING_SNAKE_CASE_   : int					  =      layer_scale_init_value
							SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      drop_path_rate
							SCREAMING_SNAKE_CASE_   : List[str]					  =      dropout_rate



