






'''simple docstring'''

import unittest

import numpy as np
import torch

from diffusers import ScoreSdeVePipeline, ScoreSdeVeScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device


enable_full_determinism()






class 							__magic_name__     (	unittest.TestCase				):







	"""simple docstring"""



	@property
	def        lowerCamelCase__		(							self       )						->  Optional[Any]:
							torch.manual_seed(0       )
							lowercase_      :   int        =			UNetaDModel(
							    block_out_channels=(32, 64)  ,      layers_per_block=2  ,      sample_size=32  ,      in_channels=3  ,      out_channels=3  ,      down_block_types=('DownBlock2D', 'AttnDownBlock2D')  ,      up_block_types=('AttnUpBlock2D', 'UpBlock2D')  ,      )
							return model







	def        lowerCamelCase__		(							self       )						->  Optional[Any]:
							lowercase_      :   Tuple        =			self.dummy_uncond_unet
							lowercase_      :   Dict        =			ScoreSdeVeScheduler()

							lowercase_      :   Optional[Any]        =			ScoreSdeVePipeline(unet=_lowercase  ,      scheduler=_lowercase       )
							sde_ve.to(_lowercase       )
							sde_ve.set_progress_bar_config(disable=_lowercase       )

							lowercase_      :   Any        =			torch.manual_seed(0       )
							lowercase_      :   Optional[int]        =			sde_ve(num_inference_steps=2  ,      output_type='numpy'  ,      generator=_lowercase       ).images

							lowercase_      :   Any        =			torch.manual_seed(0       )
							lowercase_      :   Optional[int]        =			sde_ve(num_inference_steps=2  ,      output_type='numpy'  ,      generator=_lowercase  ,      return_dict=_lowercase       )[
							    0
							]

							lowercase_      :   int        =			image[0, -3:, -3:, -1]
							lowercase_      :   List[str]        =			image_from_tuple[0, -3:, -3:, -1]

							assert image.shape == (1, 32, 32, 3)
							lowercase_      :   int        =			np.array([0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0]       )

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






@slow
@require_torch
class 							__magic_name__     (	unittest.TestCase				):







	"""simple docstring"""



	def        lowerCamelCase__		(							self       )						->  Any:
							lowercase_      :   Optional[int]        =			'google/ncsnpp-church-256'
							lowercase_      :   str        =			UNetaDModel.from_pretrained(_lowercase       )

							lowercase_      :   List[str]        =			ScoreSdeVeScheduler.from_pretrained(_lowercase       )

							lowercase_      :   List[str]        =			ScoreSdeVePipeline(unet=_lowercase  ,      scheduler=_lowercase       )
							sde_ve.to(_lowercase       )
							sde_ve.set_progress_bar_config(disable=_lowercase       )

							lowercase_      :   Any        =			torch.manual_seed(0       )
							lowercase_      :   int        =			sde_ve(num_inference_steps=10  ,      output_type='numpy'  ,      generator=_lowercase       ).images

							lowercase_      :   str        =			image[0, -3:, -3:, -1]

							assert image.shape == (1, 256, 256, 3)

							lowercase_      :   Any        =			np.array([0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]       )

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








'''simple docstring'''

import os
from distutils.util import strtobool






def 	_UpperCAmelCase    (  a		:	Any						,			a		:	int							)			->			Any:





						"""simple docstring"""
						for e in env_keys:
												lowercase_      :   Optional[Any]        =			int(os.environ.get(a						,			-1							)							)
												if val >= 0:
																		return val
						return default






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict=False							)			->			Optional[Any]:





						"""simple docstring"""
						lowercase_      :   Optional[int]        =			os.environ.get(a						,			str(a							)							)
						return strtobool(a							) == 1  # As its name indicates `strtobool` actually returns an int...






def 	_UpperCAmelCase    (  a		:	List[Any]						,			a		:	Dict="no"							)			->			str:





						"""simple docstring"""
						lowercase_      :   List[Any]        =			os.environ.get(a						,			str(a							)							)
						return value
