




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"""):
     UpperCAmelCase     :     Optional[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:
     UpperCAmelCase     :     Dict							=	{
         """linear""": PIL.Image.LINEAR,
         """bilinear""": PIL.Image.BILINEAR,
         """bicubic""": PIL.Image.BICUBIC,
         """lanczos""": PIL.Image.LANCZOS,
         """nearest""": PIL.Image.NEAREST,
     }
def 					_A	(		SCREAMING_SNAKE_CASE					:       Any						):





  """simple docstring"""



  a__     : Union[str, Any]  =(images / 2 + 0.5).clamp(0	,	1						)
  a__     : List[Any]  =images.cpu().permute(0	,	2	,	3	,	1						).float().numpy()
  a__     : int  =numpy_to_pil(SCREAMING_SNAKE_CASE						)
  return images





def 					_A	(		SCREAMING_SNAKE_CASE					:       Optional[Any]						):





  """simple docstring"""



  if images.ndim == 3:
    a__     : List[str]  =images[None, ...]
  a__     : str  =(images * 255).round().astype("uint8"						)
  if images.shape[-1] == 1:
    # special case for grayscale (single channel) images
    a__     : Optional[Any]  =[Image.fromarray(image.squeeze()	,	mode="L"						) for image in images]
  else:
    a__     : Optional[int]  =[Image.fromarray(SCREAMING_SNAKE_CASE						) for image in images]

  return pil_images













def 					_A	(		SCREAMING_SNAKE_CASE					:       int = 1	,	SCREAMING_SNAKE_CASE					:       int = 1_000						):





  """simple docstring"""



  a__     : Any  =1
  a__     : Any  =0

  for divide_by_number in range(SCREAMING_SNAKE_CASE	,	digit + 1						):
    a__     : list[int]  =[]
    a__     : int  =numerator
    for _ in range(1	,	digit + 1						):
      if now_divide in has_been_divided:
        if longest_list_length < len(SCREAMING_SNAKE_CASE						):
          a__     : Optional[Any]  =len(SCREAMING_SNAKE_CASE						)
          a__     : List[str]  =divide_by_number
      else:
        has_been_divided.append(SCREAMING_SNAKE_CASE						)
        a__     : List[Any]  =now_divide * 10 % divide_by_number

  return the_digit


# Tests
if __name__ == "__main__":
     import doctest

     doctest.testmod()






