





"""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










"""simple docstring"""
def 				snake_case      (   A__	,A__	,A__	,A__	,A__						):
			if index == number_of_items:
						return 0
			UpperCAmelCase_     : str			     =					0
			UpperCAmelCase_     : Dict			     =					0
			UpperCAmelCase_     : Tuple			     =					knapsack(A__	,A__	,A__	,A__	,index + 1						)
			if weights[index] <= max_weight:
						UpperCAmelCase_     : Union[str, Any]			     =					values[index] + knapsack(
						    A__	,A__	,A__	,max_weight - weights[index]	,index + 1						)
			return max(A__	,A__						)


if __name__ == "__main__":
			import doctest

			doctest.testmod()



