


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   _snake_case    (  self  : Union[str, Any]							):






         '''simple docstring'''



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


   def   _snake_case    (  self  : Tuple							):






         '''simple docstring'''



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

         __lowerCamelCase     :      int       						=						"""xvjiarui/stable-diffusion-2-inpainting"""
         __lowerCamelCase     :      str       						=						FlaxStableDiffusionInpaintPipeline.from_pretrained(_lowerCamelCase       ,  safety_checker=_lowerCamelCase							)

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

         __lowerCamelCase     :      Optional[Any]       						=						jax.random.PRNGKey(0							)
         __lowerCamelCase     :      Optional[Any]       						=						5_0

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

         # shard inputs and rng
         __lowerCamelCase     :      Optional[int]       						=						replicate(_lowerCamelCase							)
         __lowerCamelCase     :      Optional[int]       						=						jax.random.split(_lowerCamelCase       ,  jax.device_count()							)
         __lowerCamelCase     :      Optional[int]       						=						shard(_lowerCamelCase							)
         __lowerCamelCase     :      Dict       						=						shard(_lowerCamelCase							)
         __lowerCamelCase     :      int       						=						shard(_lowerCamelCase							)

         __lowerCamelCase     :      Optional[int]       						=						pipeline(
             _lowerCamelCase       ,  _lowerCamelCase       ,  _lowerCamelCase       ,  _lowerCamelCase       ,  _lowerCamelCase       ,  _lowerCamelCase       ,  jit=_lowerCamelCase							)

         __lowerCamelCase     :      Optional[int]       						=						output.images.reshape(_lowerCamelCase       ,  5_1_2       ,  5_1_2       ,  3							)

         __lowerCamelCase     :      Union[str, Any]       						=						images[0, 2_5_3:2_5_6, 2_5_3:2_5_6, -1]

         __lowerCamelCase     :      List[str]       						=						jnp.asarray(jax.device_get(image_slice.flatten()							)							)
         __lowerCamelCase     :      Optional[Any]       						=						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







def   _UpperCAmelCase       (     UpperCAmelCase      :			list      ):
      """simple docstring"""




      __lowerCamelCase     :      Optional[int]       						=						len(UpperCAmelCase      )
      for _ in range(UpperCAmelCase      ):
            for i in range(_ % 2						,	arr_size - 1						,	2      ):
                  if arr[i + 1] < arr[i]:
                        __lowerCamelCase						, __lowerCamelCase     :      List[str]       						=						arr[i + 1], arr[i]

      return arr


if __name__ == "__main__":
    __UpperCamelCase    :						str     =							list(range(10, 0, -1))
    print(F'''Original: {arr}. Sorted: {odd_even_transposition(arr)}''')



