






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 	__SCREAMING_SNAKE_CASE(						unittest.TestCase						):
							def lowerCAmelCase_			(  self:   int    )		->		List[str]:
											super().tearDown()
											gc.collect()


							def lowerCAmelCase_			(  self:   str    )		->		List[str]:
											snake_case__						=  load_image(
											    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
											    '/sd2-inpaint/init_image.png'    )
											snake_case__						=  load_image(
											    'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png'    )

											snake_case__						=  "xvjiarui/stable-diffusion-2-inpainting"
											snake_case__						=  FlaxStableDiffusionInpaintPipeline.from_pretrained(UpperCamelCase__							,						safety_checker=UpperCamelCase__    )

											snake_case__						=  "Face of a yellow cat, high resolution, sitting on a park bench"

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

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

											# shard inputs and rng
											snake_case__						=  replicate(UpperCamelCase__    )
											snake_case__						=  jax.random.split(UpperCamelCase__							,						jax.device_count()    )
											snake_case__						=  shard(UpperCamelCase__    )
											snake_case__						=  shard(UpperCamelCase__    )
											snake_case__						=  shard(UpperCamelCase__    )

											snake_case__						=  pipeline(
											    UpperCamelCase__							,						UpperCamelCase__							,						UpperCamelCase__							,						UpperCamelCase__							,						UpperCamelCase__							,						UpperCamelCase__							,						jit=UpperCamelCase__    )

											snake_case__						=  output.images.reshape(UpperCamelCase__							,						5_12							,						5_12							,						3    )

											snake_case__						=  images[0, 2_53:2_56, 2_53:2_56, -1]

											snake_case__						=  jnp.asarray(jax.device_get(image_slice.flatten()    )    )
											snake_case__						=  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








"""simple docstring"""



from .imports import is_tqdm_available


if is_tqdm_available():
  from tqdm.auto import tqdm as _tqdm

from ..state import PartialState







def     __lowerCAmelCase		(		lowercase    :    bool = True		,				*lowercase    :    str		,				**lowercase    :    List[Any]					)      ->		List[Any]:


    """simple docstring"""





    if not is_tqdm_available():
        raise ImportError("Accelerate's `tqdm` module requires `tqdm` to be installed. Please run `pip install tqdm`."					)
    snake_case       : Dict    =       False
    if main_process_only:
        snake_case       : int    =       PartialState().local_process_index == 0
    return _tqdm(*lowercase		,				**lowercase		,				disable=lowercase					)





