


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    ) ->      Union[str, Any]:







								'''simple docstring'''

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






					def A   (					self    ) ->      Optional[int]:







								'''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(snake_case_			,							safety_checker=snake_case_    )

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

								__lowercase			       = jax.random.PRNGKey(0    )
								__lowercase			       = 5_0

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

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

								__lowercase			       = pipeline(
								    snake_case_			,							snake_case_			,							snake_case_			,							snake_case_			,							snake_case_			,							snake_case_			,							jit=snake_case_    )

								__lowercase			       = output.images.reshape(snake_case_			,							5_1_2			,							5_1_2			,							3    )

								__lowercase			       = images[0, 2_5_3:2_5_6, 2_5_3:2_5_6, -1]

								__lowercase			       = jnp.asarray(jax.device_get(image_slice.flatten()    )    )
								__lowercase			       = jnp.array(
								    [0.3_6_1_1_3_0_7, 0.3_7_6_4_9_7_3_6, 0.3_7_5_7_4_0_8, 0.3_8_2_1_3_9_5_3, 0.3_9_2_9_5_1_6_7, 0.3_8_4_1_6_3_1, 0.4_1_5_5_4_9_7_8, 0.4_1_3_7_4_7_5, 0.4_2_1_7_0_8_4]    )
								print(F'output_slice: {output_slice}'    )
								assert jnp.abs(output_slice - expected_slice    ).max() < 1e-2






from maths.prime_factors import prime_factors


def 		lowercase_	(  _UpperCamelCase	):


			'''simple docstring'''







			if not isinstance(_UpperCamelCase							,      _UpperCamelCase	):
						__lowercase			       = F'Input value of [number={number}] must be an integer'
						raise TypeError(_UpperCamelCase	)
			if number < 1:
						raise ValueError('''Input must be a positive integer'''	)
			return -1 if len(prime_factors(_UpperCamelCase	)	) % 2 else 1


if __name__ == "__main__":
	import doctest

	doctest.testmod()


