
import gc
import unittest

from diffusers import FlaxStableDiffusionInpaintPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
   import jax
   import jax.numpy as jnp
   from flax.jax_utils import replicate
   from flax.training.common_utils import shard






@slow
@require_flax
class   UpperCAmelCase		(						unittest.TestCase ):



   def 				_SCREAMING_SNAKE_CASE   (self		:					Optional[int] )		->	Tuple:


          '''simple docstring'''


          super().tearDown()
          gc.collect()



   def 				_SCREAMING_SNAKE_CASE   (self		:					Any )		->	Optional[int]:


          '''simple docstring'''


          snake_case       :   List[Any]							=      load_image(
              "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
              "/sd2-inpaint/init_image.png" )
          snake_case       :   List[Any]							=      load_image(
              "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png" )

          snake_case       :   Tuple							=      "xvjiarui/stable-diffusion-2-inpainting"
          snake_case				,					snake_case       :   Dict							=      FlaxStableDiffusionInpaintPipeline.from_pretrained(snake_case__    ,						safety_checker=snake_case__ )

          snake_case       :   Tuple							=      "Face of a yellow cat, high resolution, sitting on a park bench"

          snake_case       :   Optional[Any]							=      jax.random.PRNGKey(0 )
          snake_case       :   List[str]							=      50

          snake_case       :   Tuple							=      jax.device_count()
          snake_case       :   Optional[Any]							=      num_samples * [prompt]
          snake_case       :   List[str]							=      num_samples * [init_image]
          snake_case       :   str							=      num_samples * [mask_image]
          snake_case				,					snake_case				,					snake_case       :   int							=      pipeline.prepare_inputs(snake_case__    ,						snake_case__    ,						snake_case__ )

          # shard inputs and rng
          snake_case       :   Tuple							=      replicate(snake_case__ )
          snake_case       :   Optional[Any]							=      jax.random.split(snake_case__    ,						jax.device_count() )
          snake_case       :   Union[str, Any]							=      shard(snake_case__ )
          snake_case       :   Union[str, Any]							=      shard(snake_case__ )
          snake_case       :   List[str]							=      shard(snake_case__ )

          snake_case       :   int							=      pipeline(
              snake_case__    ,						snake_case__    ,						snake_case__    ,						snake_case__    ,						snake_case__    ,						snake_case__    ,						jit=snake_case__ )

          snake_case       :   List[str]							=      output.images.reshape(snake_case__    ,						5_12    ,						5_12    ,						3 )

          snake_case       :   List[Any]							=      images[0, 2_53:2_56, 2_53:2_56, -1]

          snake_case       :   List[str]							=      jnp.asarray(jax.device_get(image_slice.flatten() ) )
          snake_case       :   Any							=      jnp.array(
              [0.3611307, 0.37649736, 0.3757408, 0.38213953, 0.39295167, 0.3841631, 0.41554978, 0.4137475, 0.4217084] )
          print(f"""output_slice: {output_slice}""" )
          assert jnp.abs(output_slice - expected_slice ).max() < 1e-2







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


def 			UpperCamelCase					(    __lowerCamelCase     : Matrix    ):
       if location := find_empty_location(__lowerCamelCase    ):
              snake_case				,					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    ):
                     snake_case       :   List[Any]							=      digit

                     if sudoku(__lowerCamelCase    ) is not None:
                            return grid

                     snake_case       :   Union[str, Any]							=      0

       return None


def 			UpperCamelCase					(    __lowerCamelCase     : Matrix    ):
       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:""")
      __lowerCamelCase							=       sudoku(example_grid)
      if solution is not None:
         print_solution(solution)
      else:
         print("""Cannot find a solution.""")





