


'''simple docstring'''






from typing import List, Union

from ..utils import (
    add_end_docstrings,
    is_tf_available,
    is_torch_available,
    is_vision_available,
    logging,
    requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_vision_available():
		from PIL import Image

		from ..image_utils import load_image

if is_tf_available():
		import tensorflow as tf

		from ..models.auto.modeling_tf_auto import TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING
		from ..tf_utils import stable_softmax

if is_torch_available():
		from ..models.auto.modeling_auto import MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING

__UpperCAmelCase       							=				logging.get_logger(__name__)




@add_end_docstrings(a__    )
class 						a__							(				a__    ):





							'''simple docstring'''






							def __init__(						self   ,       *lowerCamelCase_   ,       **lowerCamelCase_  )			->				Optional[Any]:
														super().__init__(*lowerCamelCase_   ,       **lowerCamelCase_  )
														requires_backends(self   ,       '''vision'''  )
														self.check_model_type(
														    TF_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING
														    if self.framework == '''tf'''
														    else MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_=None  )			->				Union[str, Any]:
														lowerCAmelCase__			  =      {}
														if top_k is not None:
																					lowerCAmelCase__			  =      top_k
														return {}, {}, postprocess_params







							def __call__(						self   ,       lowerCamelCase_   ,       **lowerCamelCase_  )			->				Tuple:
														return super().__call__(lowerCamelCase_   ,       **lowerCamelCase_  )







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				Optional[int]:
														lowerCAmelCase__			  =      load_image(lowerCamelCase_  )
														lowerCAmelCase__			  =      self.image_processor(images=lowerCamelCase_   ,       return_tensors=self.framework  )
														return model_inputs







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_  )			->				Dict:
														lowerCAmelCase__			  =      self.model(**lowerCamelCase_  )
														return model_outputs







							def     __SCREAMING_SNAKE_CASE				(						self   ,       lowerCamelCase_   ,       lowerCamelCase_=5  )			->				List[Any]:
														if top_k > self.model.config.num_labels:
																					lowerCAmelCase__			  =      self.model.config.num_labels

														if self.framework == "pt":
																					lowerCAmelCase__			  =      model_outputs.logits.softmax(-1  )[0]
																					lowerCAmelCase__  ,   lowerCAmelCase__			  =      probs.topk(lowerCamelCase_  )
														elif self.framework == "tf":
																					lowerCAmelCase__			  =      stable_softmax(model_outputs.logits   ,       axis=-1  )[0]
																					lowerCAmelCase__			  =      tf.math.top_k(lowerCamelCase_   ,       k=lowerCamelCase_  )
																					lowerCAmelCase__  ,   lowerCAmelCase__			  =      topk.values.numpy(), topk.indices.numpy()
														else:
																					raise ValueError(F"""Unsupported framework: {self.framework}"""  )

														lowerCAmelCase__			  =      scores.tolist()
														lowerCAmelCase__			  =      ids.tolist()
														return [{"score": score, "label": self.model.config.idalabel[_id]} for score, _id in zip(lowerCamelCase_   ,       lowerCamelCase_  )]



'''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.''')