






"""simple docstring"""



import unittest

import numpy as np
import PIL
import torch

from diffusers.image_processor import VaeImageProcessor




class        __lowercase(       unittest.TestCase  ):






		@property
		def 		lowerCAmelCase   (					self)			->  Optional[Any]:




							"""simple docstring"""





							lowerCamelCase__				=1
							lowerCamelCase__				=3
							lowerCamelCase__				=8
							lowerCamelCase__				=8

							lowerCamelCase__				=torch.rand((batch_size, num_channels, height, width))

							return sample






		def 		lowerCAmelCase   (					self    ,						_SCREAMING_SNAKE_CASE)			->  str:




							"""simple docstring"""





							if isinstance(image[0]    ,						PIL.Image.Image):
												return np.stack([np.array(_SCREAMING_SNAKE_CASE) for i in image]    ,						axis=0)
							elif isinstance(_SCREAMING_SNAKE_CASE    ,						torch.Tensor):
												return image.cpu().numpy().transpose(0    ,						2    ,						3    ,						1)
							return image






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




							"""simple docstring"""





							lowerCamelCase__				=VaeImageProcessor(do_resize=_SCREAMING_SNAKE_CASE    ,						do_normalize=_SCREAMING_SNAKE_CASE)

							lowerCamelCase__				=self.dummy_sample
							lowerCamelCase__				=self.to_np(_SCREAMING_SNAKE_CASE)

							for output_type in ["pt", "np", "pil"]:
												lowerCamelCase__				=image_processor.postprocess(
												    image_processor.preprocess(_SCREAMING_SNAKE_CASE)    ,						output_type=_SCREAMING_SNAKE_CASE    ,						)
												lowerCamelCase__				=self.to_np(_SCREAMING_SNAKE_CASE)
												lowerCamelCase__				=(input_np * 2_55).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 		lowerCAmelCase   (					self)			->  str:




							"""simple docstring"""





							lowerCamelCase__				=VaeImageProcessor(do_resize=_SCREAMING_SNAKE_CASE    ,						do_normalize=_SCREAMING_SNAKE_CASE)
							lowerCamelCase__				=self.dummy_sample.cpu().numpy().transpose(0    ,						2    ,						3    ,						1)

							for output_type in ["pt", "np", "pil"]:
												lowerCamelCase__				=image_processor.postprocess(image_processor.preprocess(_SCREAMING_SNAKE_CASE)    ,						output_type=_SCREAMING_SNAKE_CASE)

												lowerCamelCase__				=self.to_np(_SCREAMING_SNAKE_CASE)
												lowerCamelCase__				=(input_np * 2_55).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 		lowerCAmelCase   (					self)			->  str:




							"""simple docstring"""





							lowerCamelCase__				=VaeImageProcessor(do_resize=_SCREAMING_SNAKE_CASE    ,						do_normalize=_SCREAMING_SNAKE_CASE)

							lowerCamelCase__				=self.dummy_sample.cpu().numpy().transpose(0    ,						2    ,						3    ,						1)
							lowerCamelCase__				=image_processor.numpy_to_pil(_SCREAMING_SNAKE_CASE)

							for output_type in ["pt", "np", "pil"]:
												lowerCamelCase__				=image_processor.postprocess(image_processor.preprocess(_SCREAMING_SNAKE_CASE)    ,						output_type=_SCREAMING_SNAKE_CASE)
												for i, o in zip(_SCREAMING_SNAKE_CASE    ,						_SCREAMING_SNAKE_CASE):
																	lowerCamelCase__				=np.array(_SCREAMING_SNAKE_CASE)
																	lowerCamelCase__				=self.to_np(_SCREAMING_SNAKE_CASE) if output_type == 'pil' else (self.to_np(_SCREAMING_SNAKE_CASE) * 2_55).round()
																	assert (
																	    np.abs(in_np - out_np).max() < 1E-6
																	), F"decoded output does not match input for output_type {output_type}"






		def 		lowerCAmelCase   (					self)			->  List[str]:




							"""simple docstring"""





							lowerCamelCase__				=VaeImageProcessor(do_resize=_SCREAMING_SNAKE_CASE    ,						do_normalize=_SCREAMING_SNAKE_CASE)

							lowerCamelCase__				=self.dummy_sample
							lowerCamelCase__				=input_pt_ad.squeeze(0)

							lowerCamelCase__				=image_processor.postprocess(
							    image_processor.preprocess(_SCREAMING_SNAKE_CASE)    ,						output_type='np'    ,						)
							lowerCamelCase__				=image_processor.postprocess(
							    image_processor.preprocess(_SCREAMING_SNAKE_CASE)    ,						output_type='np'    ,						)

							lowerCamelCase__				=self.to_np(self.dummy_sample)
							lowerCamelCase__				=input_np_ad.squeeze(0)

							lowerCamelCase__				=image_processor.postprocess(
							    image_processor.preprocess(_SCREAMING_SNAKE_CASE)    ,						output_type='np'    ,						)
							lowerCamelCase__				=image_processor.postprocess(
							    image_processor.preprocess(_SCREAMING_SNAKE_CASE)    ,						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 		lowerCAmelCase   (					self)			->  Union[str, Any]:




							"""simple docstring"""





							lowerCamelCase__				=VaeImageProcessor(do_resize=_SCREAMING_SNAKE_CASE    ,						do_normalize=_SCREAMING_SNAKE_CASE)

							lowerCamelCase__				=self.dummy_sample
							lowerCamelCase__				=list(_SCREAMING_SNAKE_CASE)

							lowerCamelCase__				=image_processor.postprocess(
							    image_processor.preprocess(_SCREAMING_SNAKE_CASE)    ,						output_type='np'    ,						)

							lowerCamelCase__				=image_processor.postprocess(
							    image_processor.preprocess(_SCREAMING_SNAKE_CASE)    ,						output_type='np'    ,						)

							lowerCamelCase__				=self.to_np(self.dummy_sample)
							list(_SCREAMING_SNAKE_CASE)

							lowerCamelCase__				=image_processor.postprocess(
							    image_processor.preprocess(_SCREAMING_SNAKE_CASE)    ,						output_type='np'    ,						)

							lowerCamelCase__				=image_processor.postprocess(
							    image_processor.preprocess(_SCREAMING_SNAKE_CASE)    ,						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"""



from __future__ import annotations




def 						lowerCamelCase_				(  __A  :		int			,	__A  :		int			,	__A  :		int			):
					assert n > 1 and a > 0 and greatest_common_divisor(__A			,	__A			) == 1
					((lowerCamelCase__)				,     (lowerCamelCase__)				,     (lowerCamelCase__))				=extended_gcd(__A			,	__A			)  # Implemented below
					lowerCamelCase__				=(b * s) % n
					return x




def 						lowerCamelCase_				(  __A  :		int			,	__A  :		int			):
					((lowerCamelCase__)				,     (lowerCamelCase__))				=extended_euclid(__A			,	__A			)  # Implemented below
					if b < 0:
										lowerCamelCase__				=(b % n + n) % n
					return b




def 						lowerCamelCase_				(  __A  :		int			,	__A  :		int			,	__A  :		int			):
					lowerCamelCase__				=invert_modulo(__A			,	__A			)
					lowerCamelCase__				=(b * s) % n
					return x




def 						lowerCamelCase_				(  __A  :		int			,	__A  :		int			):
					assert a >= 0 and b >= 0

					if b == 0:
										lowerCamelCase__				,     lowerCamelCase__				,     lowerCamelCase__				=a, 1, 0
					else:
										((lowerCamelCase__)				,     (lowerCamelCase__)				,     (lowerCamelCase__))				=extended_gcd(__A			,	a % b			)
										lowerCamelCase__				=q
										lowerCamelCase__				=p - q * (a // b)

					assert a % d == 0 and b % d == 0
					assert d == a * x + b * y

					return (d, x, y)




def 						lowerCamelCase_				(  __A  :		int			,	__A  :		int			):
					if b == 0:
										return (1, 0)
					((lowerCamelCase__)				,     (lowerCamelCase__))				=extended_euclid(__A			,	a % b			)
					lowerCamelCase__				=a // b
					return (y, x - k * y)




def 						lowerCamelCase_				(  __A  :		int			,	__A  :		int			):
					if a < b:
										lowerCamelCase__				,     lowerCamelCase__				=b, a

					while a % b != 0:
										lowerCamelCase__				,     lowerCamelCase__				=b, a % b

					return b


if __name__ == "__main__":
						from doctest import testmod

						testmod(name="modular_division", verbose=True)
						testmod(name="modular_division2", verbose=True)
						testmod(name="invert_modulo", verbose=True)
						testmod(name="extended_gcd", verbose=True)
						testmod(name="extended_euclid", verbose=True)
						testmod(name="greatest_common_divisor", verbose=True)