code: 
  
  
  '''simple docstring'''
  
  
  
  
  import numpy as np
  import PIL
  import torch
  import torchvision.transforms as T
  import torchvision.transforms.functional as TF
  from PIL import Image
  
  
  
  
  
  def 							a_       (						lowercase							,						lowercase=256    )			->List[str]:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				__lowerCamelCase		:      Optional[int]											=					min(img.size    )
  
  				if s < target_image_size:
  								raise ValueError(F'min dim for image {s} < {target_image_size}'    )
  
  				__lowerCamelCase		:      Dict											=					target_image_size / s
  				__lowerCamelCase		:      Tuple											=					(round(r * img.size[1]    ), round(r * img.size[0]    ))
  				__lowerCamelCase		:      List[Any]											=					TF.resize(lowercase							,						lowercase							,						interpolation=PIL.Image.LANCZOS    )
  				__lowerCamelCase		:      Dict											=					TF.center_crop(lowercase							,						output_size=2 * [target_image_size]    )
  				__lowerCamelCase		:      Union[str, Any]											=					torch.unsqueeze(T.ToTensor()(lowercase    )							,						0    )
  				return img
  
  
  
  
  
  def 							a_       (						lowercase    )			->int:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				__lowerCamelCase		:      int											=					2.0 * x - 1.0
  				return x
  
  
  
  
  
  def 							a_       (						lowercase							,						lowercase=True							,						lowercase="RGB"    )			->Dict:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				__lowerCamelCase		:      List[Any]											=					x.detach().cpu()
  				if process:
  								__lowerCamelCase		:      Union[str, Any]											=					post_process_tensor(lowercase    )
  				__lowerCamelCase		:      int											=					x.numpy()
  				if process:
  								__lowerCamelCase		:      Optional[int]											=					(255 * x).astype(np.uinta    )
  				__lowerCamelCase		:      str											=					Image.fromarray(lowercase    )
  				if not x.mode == mode:
  								__lowerCamelCase		:      List[str]											=					x.convert(lowercase    )
  				return x
  
  
  
  
  
  def 							a_       (						lowercase    )			->int:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				__lowerCamelCase		:      List[str]											=					torch.clamp(lowercase							,						-1.0							,						1.0    )
  				__lowerCamelCase		:      Dict											=					(x + 1.0) / 2.0
  				__lowerCamelCase		:      int											=					x.permute(1							,						2							,						0    )
  				return x
  
  
  
  
  
  def 							a_       (						lowercase    )			->List[str]:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				__lowerCamelCase		:      List[str]											=					post_process_tensor(x.squeeze()    )
  				return x.permute(2							,						0							,						1    ).unsqueeze(0    )
  
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  
  
  
  # tests directory-specific settings - this file is run automatically
  # by pytest before any tests are run
  
  import sys
  import warnings
  from os.path import abspath, dirname, join
  
  
  # allow having multiple repository checkouts and not needing to remember to rerun
  # 'pip install -e .[dev]' when switching between checkouts and running tests.
  __lowercase  :      Tuple      		=				abspath(join(dirname(dirname(dirname(__file__))), """src"""))
  sys.path.insert(1, git_repo_path)
  
  
  # silence FutureWarning warnings in tests since often we can't act on them until
  # they become normal warnings - i.e. the tests still need to test the current functionality
  warnings.simplefilter(action="""ignore""", category=FutureWarning)
  
  
  
  
  
  def 							a_       (						lowercase    )			->Any:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				from diffusers.utils.testing_utils import pytest_addoption_shared
  
  				pytest_addoption_shared(lowercase    )
  
  
  
  
  
  def 							a_       (						lowercase    )			->str:
  
  
  
  
  
  
  				'''simple docstring'''
  
  				from diffusers.utils.testing_utils import pytest_terminal_summary_main
  
  				__lowerCamelCase		:      Union[str, Any]											=					terminalreporter.config.getoption("--make-reports"    )
  				if make_reports:
  								pytest_terminal_summary_main(lowercase							,						id=lowercase    )
  
  
  
  
  
  