



"""simple docstring"""
import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionImageVariationPipeline
from diffusers.utils.testing_utils import load_image, require_torch_gpu, slow, torch_device


_UpperCAmelCase     =			False
class 					a	(  unittest.TestCase       ):
		pass







@slow
@require_torch_gpu
class 					a	(  unittest.TestCase       ):



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


					'''simple docstring'''




					SCREAMING_SNAKE_CASE_: Optional[Any]     			=VersatileDiffusionImageVariationPipeline.from_pretrained("""shi-labs/versatile-diffusion"""		)
					pipe.to(lowerCAmelCase		)
					pipe.set_progress_bar_config(disable=lowerCAmelCase		)

					SCREAMING_SNAKE_CASE_: str     			=load_image(
					    """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg"""		)
					SCREAMING_SNAKE_CASE_: Optional[int]     			=torch.manual_seed(0		)
					SCREAMING_SNAKE_CASE_: Dict     			=pipe(
					    image=lowerCAmelCase       ,		generator=lowerCAmelCase       ,		guidance_scale=7.5       ,		num_inference_steps=50       ,		output_type="""numpy"""       ,		).images

					SCREAMING_SNAKE_CASE_: int     			=image[0, 253:256, 253:256, -1]

					assert image.shape == (1, 512, 512, 3)
					SCREAMING_SNAKE_CASE_: Tuple     			=np.array([0.0_4_4_1, 0.0_4_6_9, 0.0_5_0_7, 0.0_5_7_5, 0.0_6_3_2, 0.0_6_5_0, 0.0_8_6_5, 0.0_9_0_9, 0.0_9_4_5]		)

					assert np.abs(image_slice.flatten() - expected_slice		).max() < 1E-2








"""simple docstring"""
def      __magic_name__				(							lowercase = 200_0000 ):
   SCREAMING_SNAKE_CASE_: List[Any]     			=[0 for i in range(n + 1 )]
   SCREAMING_SNAKE_CASE_: Union[str, Any]     			=1
   SCREAMING_SNAKE_CASE_: Optional[Any]     			=1

   for i in range(2							,			int(n**0.5 ) + 1 ):
      if primality_list[i] == 0:
         for j in range(i * i							,			n + 1							,			lowercase ):
            SCREAMING_SNAKE_CASE_: Optional[int]     			=1
   SCREAMING_SNAKE_CASE_: Dict     			=0
   for i in range(lowercase ):
      if primality_list[i] == 0:
         sum_of_primes += i
   return sum_of_primes


if __name__ == "__main__":
   print(f"""{solution() = }""")



