



import inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version

def     __lowercase(	*UpperCAmelCase__   ,   UpperCAmelCase__ = None   ,   UpperCAmelCase__=True   ,   UpperCAmelCase__=2 ):


      """simple docstring"""



      from .. import __version__

      lowerCamelCase								=		take_from
      lowerCamelCase								=		()
      if not isinstance(args[0]   ,   UpperCAmelCase__ ):
            lowerCamelCase								=		(args,)

      for attribute, version_name, message in args:
            if version.parse(version.parse(UpperCAmelCase__ ).base_version ) >= version.parse(UpperCAmelCase__ ):
                  raise ValueError(
                      F"""The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers'"""
                      F""" version {__version__} is >= {version_name}""" )

            lowerCamelCase								=		None
            if isinstance(UpperCAmelCase__   ,   UpperCAmelCase__ ) and attribute in deprecated_kwargs:
                  values += (deprecated_kwargs.pop(UpperCAmelCase__ ),)
                  lowerCamelCase								=		F"""The `{attribute}` argument is deprecated and will be removed in version {version_name}."""
            elif hasattr(UpperCAmelCase__   ,   UpperCAmelCase__ ):
                  values += (getattr(UpperCAmelCase__   ,   UpperCAmelCase__ ),)
                  lowerCamelCase								=		F"""The `{attribute}` attribute is deprecated and will be removed in version {version_name}."""
            elif deprecated_kwargs is None:
                  lowerCamelCase								=		F"""`{attribute}` is deprecated and will be removed in version {version_name}."""

            if warning is not None:
                  lowerCamelCase								=		warning + " " if standard_warn else ""
                  warnings.warn(warning + message   ,   UpperCAmelCase__   ,   stacklevel=UpperCAmelCase__ )

      if isinstance(UpperCAmelCase__   ,   UpperCAmelCase__ ) and len(UpperCAmelCase__ ) > 0:
            lowerCamelCase								=		inspect.getouterframes(inspect.currentframe() )[1]
            lowerCamelCase								=		call_frame.filename
            lowerCamelCase								=		call_frame.lineno
            lowerCamelCase								=		call_frame.function
            lowerCamelCase			,							lowerCamelCase								=		next(iter(deprecated_kwargs.items() ) )
            raise TypeError(F"""{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`""" )

      if len(UpperCAmelCase__ ) == 0:
            return
      elif len(UpperCAmelCase__ ) == 1:
            return values[0]
      return values




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 						_a      (self    ):






           '''simple docstring'''



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







     def 						_a      (self    ):






           '''simple docstring'''



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

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

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

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

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

           # shard inputs and rng
           lowerCamelCase								=		replicate(__a    )
           lowerCamelCase								=		jax.random.split(__a				,			jax.device_count()    )
           lowerCamelCase								=		shard(__a    )
           lowerCamelCase								=		shard(__a    )
           lowerCamelCase								=		shard(__a    )

           lowerCamelCase								=		pipeline(
               __a				,			__a				,			__a				,			__a				,			__a				,			__a				,			jit=__a    )

           lowerCamelCase								=		output.images.reshape(__a				,			5_12				,			5_12				,			3    )

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

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