


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        _a							(			unittest.TestCase			):

							def       lowerCamelCase_ (							self:	Optional[int]							)			->   Dict:





									"""simple docstring"""







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


							def       lowerCamelCase_ (							self:	List[str]							)			->   Union[str, Any]:





									"""simple docstring"""







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

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

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

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

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

									# shard inputs and rng
									lowercase__            =      replicate(UpperCamelCase_							)
									lowercase__            =      jax.random.split(UpperCamelCase_    ,						jax.device_count()							)
									lowercase__            =      shard(UpperCamelCase_							)
									lowercase__            =      shard(UpperCamelCase_							)
									lowercase__            =      shard(UpperCamelCase_							)

									lowercase__            =      pipeline(
									    UpperCamelCase_    ,						UpperCamelCase_    ,						UpperCamelCase_    ,						UpperCamelCase_    ,						UpperCamelCase_    ,						UpperCamelCase_    ,						jit=UpperCamelCase_							)

									lowercase__            =      output.images.reshape(UpperCamelCase_    ,						512    ,						512    ,						3							)

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

									lowercase__            =      jnp.asarray(jax.device_get(image_slice.flatten()							)							)
									lowercase__            =      jnp.array(
									    [0.3611307, 0.37649736, 0.3757408, 0.38213953, 0.39295167, 0.3841631, 0.41554978, 0.4137475, 0.4217084]							)
									print(f'output_slice: {output_slice}'							)
									assert jnp.abs(output_slice - expected_slice							).max() < 1E-2






import inspect
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
lowerCAmelCase       =							'src/transformers'


# This is to make sure the transformers module imported is the one in the repo.
lowerCAmelCase       =							direct_transformers_import(PATH_TO_TRANSFORMERS)

lowerCAmelCase       =							transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
lowerCAmelCase       =							re.compile(R'\[(.+?)\]\((https://huggingface\.co/.+?)\)')


lowerCAmelCase       =							{
    'DecisionTransformerConfig',
    'EncoderDecoderConfig',
    'MusicgenConfig',
    'RagConfig',
    'SpeechEncoderDecoderConfig',
    'TimmBackboneConfig',
    'VisionEncoderDecoderConfig',
    'VisionTextDualEncoderConfig',
    'LlamaConfig',
}
def 			_a (      SCREAMING_SNAKE_CASE     ):


		"""simple docstring"""




		lowercase__            =      None

		# source code of `config_class`
		lowercase__            =      inspect.getsource(SCREAMING_SNAKE_CASE     )
		lowercase__            =      _re_checkpoint.findall(SCREAMING_SNAKE_CASE     )

		# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
		# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
		for ckpt_name, ckpt_link in checkpoints:
				# allow the link to end with `/`
				if ckpt_link.endswith('''/'''     ):
						lowercase__            =      ckpt_link[:-1]

				# verify the checkpoint name corresponds to the checkpoint link
				lowercase__            =      f'https://huggingface.co/{ckpt_name}'
				if ckpt_link == ckpt_link_from_name:
						lowercase__            =      ckpt_name
						break

		return checkpoint
def 			_a (      ):


		"""simple docstring"""




		lowercase__            =      []

		for config_class in list(CONFIG_MAPPING.values()     ):
				# Skip deprecated models
				if "models.deprecated" in config_class.__module__:
						continue
				lowercase__            =      get_checkpoint_from_config_class(SCREAMING_SNAKE_CASE     )

				lowercase__            =      config_class.__name__
				if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
						configs_without_checkpoint.append(SCREAMING_SNAKE_CASE     )

		if len(SCREAMING_SNAKE_CASE     ) > 0:
				lowercase__            =      '''\n'''.join(sorted(SCREAMING_SNAKE_CASE     )     )
				raise ValueError(f'The following configurations don\'t contain any valid checkpoint:\n{message}'     )


if __name__ == "__main__":
			check_config_docstrings_have_checkpoints()


