
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 __snake_case		(				unittest.TestCase					):
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           super().tearDown()
           gc.collect()
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







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

           lowercase							:					List[Any]	     =				"""xvjiarui/stable-diffusion-2-inpainting"""
           lowercase     ,      lowercase							:					Tuple	     =				FlaxStableDiffusionInpaintPipeline.from_pretrained(snake_case		,safety_checker=snake_case				)

           lowercase							:					Optional[int]	     =				"""Face of a yellow cat, high resolution, sitting on a park bench"""

           lowercase							:					Optional[int]	     =				jax.random.PRNGKey(0				)
           lowercase							:					Any	     =				50

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

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

           lowercase							:					List[Any]	     =				pipeline(
               snake_case		,snake_case		,snake_case		,snake_case		,snake_case		,snake_case		,jit=snake_case				)

           lowercase							:					Tuple	     =				output.images.reshape(snake_case		,512		,512		,3				)

           lowercase							:					Optional[Any]	     =				images[0, 253:256, 253:256, -1]

           lowercase							:					Any	     =				jnp.asarray(jax.device_get(image_slice.flatten()				)				)
           lowercase							:					str	     =				jnp.array(
               [0.3_611_307, 0.37_649_736, 0.3_757_408, 0.38_213_953, 0.39_295_167, 0.3_841_631, 0.41_554_978, 0.4_137_475, 0.4_217_084]				)
           print(f"output_slice: {output_slice}"				)
           assert jnp.abs(output_slice - expected_slice				).max() < 1e-2


from bisect import bisect
from itertools import accumulate







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   Optional[int]:
       lowercase							:					Dict	     =				sorted(zip(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    ) ,     key=lambda SCREAMING_SNAKE_CASE__    : x[0] / x[1] ,     reverse=SCREAMING_SNAKE_CASE__    )
       lowercase     ,      lowercase							:					Optional[Any]	     =				[i[0] for i in r], [i[1] for i in r]
       lowercase							:					Any	     =				list(accumulate(SCREAMING_SNAKE_CASE__    )    )
       lowercase							:					int	     =				bisect(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )
       return (
           0
           if k == 0
           else sum(vl[:k]    ) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
           if k != n
           else sum(vl[:k]    )
       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
