





from __future__ import annotations






def       _A  (      lowerCamelCase   ):  # This function is recursive
			a__	:						Any      		=  len(lowerCamelCase   )
			# If the array contains only one element, we return it (it's the stop condition of
			# recursion)
			if array_length <= 1:
						return array
						# Else
			a__	:						List[str]      		=  array[0]
			a__	:						List[str]      		=  False
			a__	:						Optional[int]      		=  1
			a__	:						list[int]      		=  []
			while not is_found and i < array_length:
						if array[i] < pivot:
									a__	:						Tuple      		=  True
									a__	:						str      		=  [element for element in array[i:] if element >= array[i]]
									a__	:						Dict      		=  longest_subsequence(lowerCamelCase   )
									if len(lowerCamelCase   ) > len(lowerCamelCase   ):
												a__	:						List[Any]      		=  temp_array
						else:
									i += 1

			a__	:						str      		=  [element for element in array[1:] if element >= pivot]
			a__	:						Union[str, Any]      		=  [pivot, *longest_subsequence(lowerCamelCase   )]
			if len(lowerCamelCase   ) > len(lowerCamelCase   ):
						return temp_array
			else:
						return longest_subseq


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__       :			int			      =						{
      """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__       :			Dict			      =						{
      """linear""": PIL.Image.LINEAR,
      """bilinear""": PIL.Image.BILINEAR,
      """bicubic""": PIL.Image.BICUBIC,
      """lanczos""": PIL.Image.LANCZOS,
      """nearest""": PIL.Image.NEAREST,
  }






def       _A  (      lowerCamelCase   ):
   a__	:						Optional[int]      		=  (images / 2 + 0.5).clamp(0							, 1   )
   a__	:						List[Any]      		=  images.cpu().permute(0							, 2							, 3							, 1   ).float().numpy()
   a__	:						int      		=  numpy_to_pil(lowerCamelCase   )
   return images






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

   return pil_images

