






"""simple docstring"""







import unittest

import numpy as np
import PIL
import torch

from diffusers.image_processor import VaeImageProcessor


class     __UpperCAmelCase(   unittest.TestCase							):




						"""simple docstring"""




						@property
						def 		UpperCAmelCase_       (   self			):
												'''simple docstring'''
												lowercase__				:      str=       1
												lowercase__				:      List[Any]=       3
												lowercase__				:      int=       8
												lowercase__				:      int=       8

												lowercase__				:      Dict=       torch.rand((batch_size, num_channels, height, width)			)

												return sample




						def 		UpperCAmelCase_       (   self       ,  snake_case__			):
												'''simple docstring'''
												if isinstance(image[0]       ,  PIL.Image.Image			):
																		return np.stack([np.array(A_			) for i in image]       ,  axis=0			)
												elif isinstance(A_       ,  torch.Tensor			):
																		return image.cpu().numpy().transpose(0       ,  2       ,  3       ,  1			)
												return image




						def 		UpperCAmelCase_       (   self			):
												'''simple docstring'''
												lowercase__				:      Any=       VaeImageProcessor(do_resize=A_       ,  do_normalize=A_			)

												lowercase__				:      Tuple=       self.dummy_sample
												lowercase__				:      str=       self.to_np(A_			)

												for output_type in ["pt", "np", "pil"]:
																		lowercase__				:      str=       image_processor.postprocess(
																		    image_processor.preprocess(A_			)       ,  output_type=A_       ,  )
																		lowercase__				:      Union[str, Any]=       self.to_np(A_			)
																		lowercase__				:      List[str]=       (input_np * 255).round() if output_type == "pil" else input_np
																		assert (
																		    np.abs(in_np - out_np			).max() < 1e-6
																		), F'''decoded output does not match input for output_type {output_type}'''




						def 		UpperCAmelCase_       (   self			):
												'''simple docstring'''
												lowercase__				:      List[str]=       VaeImageProcessor(do_resize=A_       ,  do_normalize=A_			)
												lowercase__				:      List[str]=       self.dummy_sample.cpu().numpy().transpose(0       ,  2       ,  3       ,  1			)

												for output_type in ["pt", "np", "pil"]:
																		lowercase__				:      Optional[Any]=       image_processor.postprocess(image_processor.preprocess(A_			)       ,  output_type=A_			)

																		lowercase__				:      Union[str, Any]=       self.to_np(A_			)
																		lowercase__				:      List[str]=       (input_np * 255).round() if output_type == "pil" else input_np
																		assert (
																		    np.abs(in_np - out_np			).max() < 1e-6
																		), F'''decoded output does not match input for output_type {output_type}'''




						def 		UpperCAmelCase_       (   self			):
												'''simple docstring'''
												lowercase__				:      Optional[int]=       VaeImageProcessor(do_resize=A_       ,  do_normalize=A_			)

												lowercase__				:      List[str]=       self.dummy_sample.cpu().numpy().transpose(0       ,  2       ,  3       ,  1			)
												lowercase__				:      List[Any]=       image_processor.numpy_to_pil(A_			)

												for output_type in ["pt", "np", "pil"]:
																		lowercase__				:      List[str]=       image_processor.postprocess(image_processor.preprocess(A_			)       ,  output_type=A_			)
																		for i, o in zip(A_       ,  A_			):
																								lowercase__				:      List[Any]=       np.array(A_			)
																								lowercase__				:      List[str]=       self.to_np(A_			) if output_type == "pil" else (self.to_np(A_			) * 255).round()
																								assert (
																								    np.abs(in_np - out_np			).max() < 1e-6
																								), F'''decoded output does not match input for output_type {output_type}'''




						def 		UpperCAmelCase_       (   self			):
												'''simple docstring'''
												lowercase__				:      Optional[int]=       VaeImageProcessor(do_resize=A_       ,  do_normalize=A_			)

												lowercase__				:      Any=       self.dummy_sample
												lowercase__				:      Optional[int]=       input_pt_ad.squeeze(0			)

												lowercase__				:      int=       image_processor.postprocess(
												    image_processor.preprocess(A_			)       ,  output_type="np"       ,  )
												lowercase__				:      Union[str, Any]=       image_processor.postprocess(
												    image_processor.preprocess(A_			)       ,  output_type="np"       ,  )

												lowercase__				:      Optional[Any]=       self.to_np(self.dummy_sample			)
												lowercase__				:      Optional[Any]=       input_np_ad.squeeze(0			)

												lowercase__				:      List[str]=       image_processor.postprocess(
												    image_processor.preprocess(A_			)       ,  output_type="np"       ,  )
												lowercase__				:      Optional[int]=       image_processor.postprocess(
												    image_processor.preprocess(A_			)       ,  output_type="np"       ,  )

												assert np.abs(out_pt_ad - out_pt_ad			).max() < 1e-6
												assert np.abs(out_np_ad - out_np_ad			).max() < 1e-6




						def 		UpperCAmelCase_       (   self			):
												'''simple docstring'''
												lowercase__				:      int=       VaeImageProcessor(do_resize=A_       ,  do_normalize=A_			)

												lowercase__				:      Tuple=       self.dummy_sample
												lowercase__				:      int=       list(A_			)

												lowercase__				:      int=       image_processor.postprocess(
												    image_processor.preprocess(A_			)       ,  output_type="np"       ,  )

												lowercase__				:      Optional[int]=       image_processor.postprocess(
												    image_processor.preprocess(A_			)       ,  output_type="np"       ,  )

												lowercase__				:      Optional[Any]=       self.to_np(self.dummy_sample			)
												list(A_			)

												lowercase__				:      Optional[Any]=       image_processor.postprocess(
												    image_processor.preprocess(A_			)       ,  output_type="np"       ,  )

												lowercase__				:      List[str]=       image_processor.postprocess(
												    image_processor.preprocess(A_			)       ,  output_type="np"       ,  )

												assert np.abs(out_pt_ad - out_pt_list			).max() < 1e-6
												assert np.abs(out_np_ad - out_np_list			).max() < 1e-6











'''simple docstring'''

def 		_snake_case		(					_SCREAMING_SNAKE_CASE     :						int = 4_000_000							)			->						int:







	"""simple docstring"""
	lowerCAmelCase    =	1
	lowerCAmelCase    =	2
	lowerCAmelCase    =	0
	while j <= n:
		if j % 2 == 0:
			total += j
		lowerCAmelCase,   lowerCAmelCase    =	j, i + j

	return total


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