





"""simple docstring"""




import math





def 						UpperCAmelCase__		(     _UpperCAmelCase					):






  """simple docstring"""





  A_  :       str										=  0
  A_  :       int										=  0
  while num > 0:
    A_  :       Optional[int]										=  num % 8
    A_  :       Optional[Any]										=  octal + (remainder * math.floor(math.pow(10 ,					a_					)					))
    counter += 1
    A_  :       Dict										=  math.floor(num / 8					)  # basically /= 8 without remainder if any
    # This formatting removes trailing '.0' from `octal`.
  return f"""0o{int(a_					)}"""





def 						UpperCAmelCase__		(     ):






  """simple docstring"""





  print('\n2 in octal is:'					)
  print(decimal_to_octal(2					)					)  # = 2
  print('\n8 in octal is:'					)
  print(decimal_to_octal(8					)					)  # = 10
  print('\n65 in octal is:'					)
  print(decimal_to_octal(65					)					)  # = 101
  print('\n216 in octal is:'					)
  print(decimal_to_octal(216					)					)  # = 330
  print('\n512 in octal is:'					)
  print(decimal_to_octal(512					)					)  # = 1000
  print('\n'					)


if __name__ == "__main__":
   main()

import PIL.Image
import PIL.ImageOps
from packaging import version
from PIL import Image


if version.parse(version.parse(PIL.__version__).base_version) >= version.parse('9.1.0'):
					SCREAMING_SNAKE_CASE							:Any							 =				{
					    'linear': PIL.Image.Resampling.BILINEAR,
					    'bilinear': PIL.Image.Resampling.BILINEAR,
					    'bicubic': PIL.Image.Resampling.BICUBIC,
					    'lanczos': PIL.Image.Resampling.LANCZOS,
					    'nearest': PIL.Image.Resampling.NEAREST,
					}
else:
					SCREAMING_SNAKE_CASE							:int							 =				{
					    'linear': PIL.Image.LINEAR,
					    'bilinear': PIL.Image.BILINEAR,
					    'bicubic': PIL.Image.BICUBIC,
					    'lanczos': PIL.Image.LANCZOS,
					    'nearest': PIL.Image.NEAREST,
					}


def 						UpperCAmelCase			(	a_						)		->	Optional[Any]:







				"""simple docstring"""



				__A   			= (images / 2 + 0.5).clamp(0		,   1						)
				__A   			= images.cpu().permute(0		,   2		,   3		,   1						).float().numpy()
				__A   			= numpy_to_pil(a_						)
				return images


def 						UpperCAmelCase			(	a_						)		->	int:







				"""simple docstring"""



				if images.ndim == 3:
								__A   			= images[None, ...]
				__A   			= (images * 2_5_5).round().astype("uint8"						)
				if images.shape[-1] == 1:
								# special case for grayscale (single channel) images
								__A   			= [Image.fromarray(image.squeeze()		,   mode="L"						) for image in images]
				else:
								__A   			= [Image.fromarray(a_						) for image in images]

				return pil_images
