



"""simple docstring"""






import gc
import unittest

from diffusers import FlaxControlNetModel, FlaxStableDiffusionControlNetPipeline
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     ):


					'''simple docstring'''





					def 	snake_case ( self							:						List[Any]  )->      Optional[Any]:
								# clean up the VRAM after each test
								super().tearDown()
								gc.collect()



					def 	snake_case ( self							:						Optional[Any]  )->      Tuple:
								lowerCamelCase__	:	List[str]				=FlaxControlNetModel.from_pretrained(
								    '''lllyasviel/sd-controlnet-canny''',						from_pt=lowerCamelCase,						dtype=jnp.bfloataa  )
								lowerCamelCase__	:	List[str]				=FlaxStableDiffusionControlNetPipeline.from_pretrained(
								    '''runwayml/stable-diffusion-v1-5''',						controlnet=lowerCamelCase,						from_pt=lowerCamelCase,						dtype=jnp.bfloataa  )
								lowerCamelCase__	:	Union[str, Any]				=controlnet_params

								lowerCamelCase__	:	Dict				='''bird'''
								lowerCamelCase__	:	Optional[Any]				=jax.device_count()
								lowerCamelCase__	:	int				=pipe.prepare_text_inputs([prompts] * num_samples  )

								lowerCamelCase__	:	Optional[Any]				=load_image(
								    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/bird_canny.png'''  )
								lowerCamelCase__	:	List[str]				=pipe.prepare_image_inputs([canny_image] * num_samples  )

								lowerCamelCase__	:	List[Any]				=jax.random.PRNGKey(0  )
								lowerCamelCase__	:	Union[str, Any]				=jax.random.split(lowerCamelCase,						jax.device_count()  )

								lowerCamelCase__	:	Any				=replicate(lowerCamelCase  )
								lowerCamelCase__	:	List[Any]				=shard(lowerCamelCase  )
								lowerCamelCase__	:	Dict				=shard(lowerCamelCase  )

								lowerCamelCase__	:	List[str]				=pipe(
								    prompt_ids=lowerCamelCase,						image=lowerCamelCase,						params=lowerCamelCase,						prng_seed=lowerCamelCase,						num_inference_steps=50,						jit=lowerCamelCase,						).images
								assert images.shape == (jax.device_count(), 1, 768, 512, 3)

								lowerCamelCase__	:	int				=images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]  )
								lowerCamelCase__	:	Optional[Any]				=images[0, 253:256, 253:256, -1]

								lowerCamelCase__	:	Optional[Any]				=jnp.asarray(jax.device_get(image_slice.flatten()  )  )
								lowerCamelCase__	:	List[Any]				=jnp.array(
								    [0.167_969, 0.116_699, 0.081_543, 0.154_297, 0.132_812, 0.108_887, 0.169_922, 0.169_922, 0.205_078]  )
								print(F'''output_slice: {output_slice}'''  )
								assert jnp.abs(output_slice - expected_slice  ).max() < 1E-2




					def 	snake_case ( self							:						int  )->      List[Any]:
								lowerCamelCase__	:	Union[str, Any]				=FlaxControlNetModel.from_pretrained(
								    '''lllyasviel/sd-controlnet-openpose''',						from_pt=lowerCamelCase,						dtype=jnp.bfloataa  )
								lowerCamelCase__	:	int				=FlaxStableDiffusionControlNetPipeline.from_pretrained(
								    '''runwayml/stable-diffusion-v1-5''',						controlnet=lowerCamelCase,						from_pt=lowerCamelCase,						dtype=jnp.bfloataa  )
								lowerCamelCase__	:	List[str]				=controlnet_params

								lowerCamelCase__	:	Union[str, Any]				='''Chef in the kitchen'''
								lowerCamelCase__	:	List[Any]				=jax.device_count()
								lowerCamelCase__	:	int				=pipe.prepare_text_inputs([prompts] * num_samples  )

								lowerCamelCase__	:	int				=load_image(
								    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/pose.png'''  )
								lowerCamelCase__	:	Optional[Any]				=pipe.prepare_image_inputs([pose_image] * num_samples  )

								lowerCamelCase__	:	Optional[int]				=jax.random.PRNGKey(0  )
								lowerCamelCase__	:	int				=jax.random.split(lowerCamelCase,						jax.device_count()  )

								lowerCamelCase__	:	List[Any]				=replicate(lowerCamelCase  )
								lowerCamelCase__	:	int				=shard(lowerCamelCase  )
								lowerCamelCase__	:	str				=shard(lowerCamelCase  )

								lowerCamelCase__	:	Optional[Any]				=pipe(
								    prompt_ids=lowerCamelCase,						image=lowerCamelCase,						params=lowerCamelCase,						prng_seed=lowerCamelCase,						num_inference_steps=50,						jit=lowerCamelCase,						).images
								assert images.shape == (jax.device_count(), 1, 768, 512, 3)

								lowerCamelCase__	:	Tuple				=images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]  )
								lowerCamelCase__	:	Any				=images[0, 253:256, 253:256, -1]

								lowerCamelCase__	:	Any				=jnp.asarray(jax.device_get(image_slice.flatten()  )  )
								lowerCamelCase__	:	Dict				=jnp.array(
								    [[0.271_484, 0.261_719, 0.275_391, 0.277_344, 0.279_297, 0.291_016, 0.294_922, 0.302_734, 0.302_734]]  )
								print(F'''output_slice: {output_slice}'''  )
								assert jnp.abs(output_slice - expected_slice  ).max() < 1E-2









"""simple docstring"""






_lowercase				:				str   		=		0  # The first color of the flag.
_lowercase				:				Dict   		=		1  # The second color of the flag.
_lowercase				:				Tuple   		=		2  # The third color of the flag.
_lowercase				:				Optional[int]   		=		(red, white, blue)






def   snake_case__     (	__lowerCamelCase       :					list			):
			"""simple docstring"""
			if not sequence:
						return []
			if len(__lowerCamelCase			) == 1:
						return list(__lowerCamelCase			)
			lowerCamelCase__	:	List[Any]				=0
			lowerCamelCase__	:	Dict				=len(__lowerCamelCase			) - 1
			lowerCamelCase__	:	Tuple				=0
			while mid <= high:
						if sequence[mid] == colors[0]:
									lowerCamelCase__			,     lowerCamelCase__	:	Optional[Any]				=sequence[mid], sequence[low]
									low += 1
									mid += 1
						elif sequence[mid] == colors[1]:
									mid += 1
						elif sequence[mid] == colors[2]:
									lowerCamelCase__			,     lowerCamelCase__	:	Union[str, Any]				=sequence[high], sequence[mid]
									high -= 1
						else:
									lowerCamelCase__	:	Dict				=f'''The elements inside the sequence must contains only {colors} values'''
									raise ValueError(__lowerCamelCase			)
			return sequence


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		_lowercase				:				Optional[Any]   		=		input("Enter numbers separated by commas:\n").strip()
		_lowercase				:				int   		=		[int(item.strip()) for item in user_input.split(",")]
		print(f'{dutch_national_flag_sort(unsorted)}')




