





'''simple docstring'''




def 	UpperCAmelCase_							(					__lowercase							:      int       )		->       str:


     '''simple docstring'''



     if isinstance(__lowercase			,     __lowercase       ):
          raise TypeError("'float' object cannot be interpreted as an integer"       )
     if isinstance(__lowercase			,     __lowercase       ):
          raise TypeError("'str' object cannot be interpreted as an integer"       )

     if num == 0:
          return "0b0"

     _UpperCAmelCase     							=   False

     if num < 0:
          _UpperCAmelCase     							=   True
          _UpperCAmelCase     							=   -num

     _UpperCAmelCase     							=   []
     while num > 0:
          binary.insert(0			,     num % 2       )
          num >>= 1

     if negative:
          return "-0b" + "".join(str(__lowercase       ) for e in binary       )

     return "0b" + "".join(str(__lowercase       ) for e in binary       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()






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
