





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      lowerCamelCase(						unittest.TestCase	):
     '''simple docstring'''


     def        lowerCAmelCase__		(    self							):
         # clean up the VRAM after each test
         super().tearDown()
         gc.collect()




     def        lowerCAmelCase__		(    self							):
         _A     =							load_image(
             'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
             '/sd2-inpaint/init_image.png'							)
         _A     =							load_image(
             'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png'							)

         _A     =							'xvjiarui/stable-diffusion-2-inpainting'
         _A,			_A     =							FlaxStableDiffusionInpaintPipeline.from_pretrained(snake_case_				,     safety_checker=snake_case_							)

         _A     =							'Face of a yellow cat, high resolution, sitting on a park bench'

         _A     =							jax.random.PRNGKey(0							)
         _A     =							50

         _A     =							jax.device_count()
         _A     =							num_samples * [prompt]
         _A     =							num_samples * [init_image]
         _A     =							num_samples * [mask_image]
         _A,			_A,			_A     =							pipeline.prepare_inputs(snake_case_				,     snake_case_				,     snake_case_							)

         # shard inputs and rng
         _A     =							replicate(snake_case_							)
         _A     =							jax.random.split(snake_case_				,     jax.device_count()							)
         _A     =							shard(snake_case_							)
         _A     =							shard(snake_case_							)
         _A     =							shard(snake_case_							)

         _A     =							pipeline(
             snake_case_				,     snake_case_				,     snake_case_				,     snake_case_				,     snake_case_				,     snake_case_				,     jit=snake_case_							)

         _A     =							output.images.reshape(snake_case_				,     512				,     512				,     3							)

         _A     =							images[0, 253:256, 253:256, -1]

         _A     =							jnp.asarray(jax.device_get(image_slice.flatten()							)							)
         _A     =							jnp.array(
             [0.361_1307, 0.3764_9736, 0.375_7408, 0.3821_3953, 0.3929_5167, 0.384_1631, 0.4155_4978, 0.413_7475, 0.421_7084]							)
         print(F"output_slice: {output_slice}"							)
         assert jnp.abs(output_slice - expected_slice							).max() < 1E-2












import sys

from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

__A							:			List[Any]         =			"python tqdm regex requests packaging filelock numpy tokenizers".split()
if sys.version_info < (3, 7):
 pkgs_to_check_at_runtime.append("dataclasses")
if sys.version_info < (3, 8):
 pkgs_to_check_at_runtime.append("importlib_metadata")

for pkg in pkgs_to_check_at_runtime:
 if pkg in deps:
  if pkg == "tokenizers":
   # must be loaded here, or else tqdm check may fail
   from .utils import is_tokenizers_available

   if not is_tokenizers_available():
    continue  # not required, check version only if installed

  require_version_core(deps[pkg])
 else:
  raise ValueError(f"can't find {pkg} in {deps.keys()}, check dependency_versions_table.py")





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE=None				)							-> Union[str, Any]:




    """simple docstring"""




    require_version(deps[pkg]							,     _SCREAMING_SNAKE_CASE				)





