
'''simple docstring'''





from __future__ import annotations

lowerCamelCase__	=							list[list[int]]

# assigning initial values to the grid
lowerCamelCase__	=							[
    [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
lowerCamelCase__	=							[
    [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(lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase						,  lowerCAmelCase )		->				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 							__A(lowerCAmelCase )		->				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 							__A(lowerCAmelCase )		->				Matrix | None:

		"""simple docstring"""






		if location := find_empty_location(UpperCAmelCase__ ):
				_UpperCamelCase						    =	location
		else:
				# If the location is ``None``, then the grid is solved.
				return grid

		for digit in range(1						,  1_0 ):
				if is_safe(UpperCAmelCase__						,  UpperCAmelCase__						,  UpperCAmelCase__						,  UpperCAmelCase__ ):
						_UpperCamelCase						    =	digit

						if sudoku(UpperCAmelCase__ ) is not None:
								return grid

						_UpperCamelCase						    =	0

		return None


def 							__A(lowerCAmelCase )		->				None:

		"""simple docstring"""






		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" + "=" * 20)
				print_solution(example_grid)
				print("\nExample grid solution:")
				lowerCamelCase__	=							sudoku(example_grid)
				if solution is not None:
						print_solution(solution)
				else:
						print("Cannot find a solution.")





import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import is_accelerate_available, is_torch_available, is_transformers_available, is_xformers_available
from . import BaseDiffusersCLICommand


def 							__A(lowerCAmelCase )		->				Optional[int]:

		"""simple docstring"""






		return EnvironmentCommand()







class        lowerCAmelCase__      (   __lowercase	):

						@staticmethod
						def  A_				(			a				)					->      List[str]:


								'''simple docstring'''

								_UpperCamelCase						    =	parser.add_parser("""env"""				)
								download_parser.set_defaults(func=a				)

						def  A_				(			self				)					->      List[str]:


								'''simple docstring'''

								_UpperCamelCase						    =	huggingface_hub.__version__

								_UpperCamelCase						    =	"""not installed"""
								_UpperCamelCase						    =	"""NA"""
								if is_torch_available():
										import torch

										_UpperCamelCase						    =	torch.__version__
										_UpperCamelCase						    =	torch.cuda.is_available()

								_UpperCamelCase						    =	"""not installed"""
								if is_transformers_available():
										import transformers

										_UpperCamelCase						    =	transformers.__version__

								_UpperCamelCase						    =	"""not installed"""
								if is_accelerate_available():
										import accelerate

										_UpperCamelCase						    =	accelerate.__version__

								_UpperCamelCase						    =	"""not installed"""
								if is_xformers_available():
										import xformers

										_UpperCamelCase						    =	xformers.__version__

								_UpperCamelCase						    =	{
								    """`diffusers` version""": version,
								    """Platform""": platform.platform(),
								    """Python version""": platform.python_version(),
								    """PyTorch version (GPU?)""": F'{pt_version} ({pt_cuda_available})',
								    """Huggingface_hub version""": hub_version,
								    """Transformers version""": transformers_version,
								    """Accelerate version""": accelerate_version,
								    """xFormers version""": xformers_version,
								    """Using GPU in script?""": """<fill in>""",
								    """Using distributed or parallel set-up in script?""": """<fill in>""",
								}

								print("""\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n"""				)
								print(self.format_dict(a				)				)

								return info







						@staticmethod
						def  A_				(			a				)					->      Dict:


								'''simple docstring'''

								return "\n".join([F'- {prop}: {val}' for prop, val in d.items()]				) + "\n"



