





"""simple docstring"""




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'''):
		a						: List[str]     	=			{
		    '''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:
		a						: Any     	=			{
		    '''linear''': PIL.Image.LINEAR,
		    '''bilinear''': PIL.Image.BILINEAR,
		    '''bicubic''': PIL.Image.BICUBIC,
		    '''lanczos''': PIL.Image.LANCZOS,
		    '''nearest''': PIL.Image.NEAREST,
		}






def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    Optional[int]					) ->Any:






	'''simple docstring'''






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







def       _SCREAMING_SNAKE_CASE		(	_lowercase						:    int					) ->Optional[Any]:






	'''simple docstring'''






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

	return pil_images









def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase						,	_UpperCAmelCase )			->     bool:
    lowerCamelCase__    :      List[str]					 =		len(_UpperCAmelCase )
    lowerCamelCase__    :      str					 =		[[False] * (required_sum + 1) for _ in range(arr_len + 1 )]

    # for each arr value, a sum of zero(0) can be formed by not taking any element
    # hence True/1
    for i in range(arr_len + 1 ):
        lowerCamelCase__    :      Tuple					 =		True

    # sum is not zero and set is empty then false
    for i in range(1						,	required_sum + 1 ):
        lowerCamelCase__    :      Dict					 =		False

    for i in range(1						,	arr_len + 1 ):
        for j in range(1						,	required_sum + 1 ):
            if arr[i - 1] > j:
                lowerCamelCase__    :      str					 =		subset[i - 1][j]
            if arr[i - 1] <= j:
                lowerCamelCase__    :      Dict					 =		subset[i - 1][j] or subset[i - 1][j - arr[i - 1]]

    return subset[arr_len][required_sum]


if __name__ == "__main__":
    import doctest

    doctest.testmod()





