"""simple docstring"""




import random



def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	list			,					__UpperCamelCase   :	Optional[Any]     )							-> tuple:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__      							=				[], [], []
  for element in data:
    if element < pivot:
      less.append(__UpperCamelCase     )
    elif element > pivot:
      greater.append(__UpperCamelCase     )
    else:
      equal.append(__UpperCamelCase     )
  return less, equal, greater






def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	list			,					__UpperCamelCase   :	int     )							-> Union[str, Any]:







  """simple docstring"""





  if index >= len(__UpperCamelCase     ) or index < 0:
    return None

  SCREAMING_SNAKE_CASE__      							=				items[random.randint(0			,					len(__UpperCamelCase     ) - 1     )]
  SCREAMING_SNAKE_CASE__      							=				0
  SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__							,					SCREAMING_SNAKE_CASE__      							=				_partition(__UpperCamelCase			,					__UpperCamelCase     )
  SCREAMING_SNAKE_CASE__      							=				len(__UpperCamelCase     )
  SCREAMING_SNAKE_CASE__      							=				len(__UpperCamelCase     )

  # index is the pivot
  if m <= index < m + count:
    return pivot
  # must be in smaller
  elif m > index:
    return quick_select(__UpperCamelCase			,					__UpperCamelCase     )
  # must be in larger
  else:
    return quick_select(__UpperCamelCase			,					index - (m + count)     )

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'''):
   __lowerCamelCase      :			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:
   __lowerCamelCase      :			int							       =		{
       '''linear''': PIL.Image.LINEAR,
       '''bilinear''': PIL.Image.BILINEAR,
       '''bicubic''': PIL.Image.BICUBIC,
       '''lanczos''': PIL.Image.LANCZOS,
       '''nearest''': PIL.Image.NEAREST,
   }



def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	int     )							-> Optional[Any]:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__      							=				(images / 2 + 0.5).clamp(0			,					1     )
  SCREAMING_SNAKE_CASE__      							=				images.cpu().permute(0			,					2			,					3			,					1     ).float().numpy()
  SCREAMING_SNAKE_CASE__      							=				numpy_to_pil(__UpperCamelCase     )
  return images






def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	int     )							-> int:







  """simple docstring"""





  if images.ndim == 3:
    SCREAMING_SNAKE_CASE__      							=				images[None, ...]
  SCREAMING_SNAKE_CASE__      							=				(images * 2_55).round().astype("""uint8"""     )
  if images.shape[-1] == 1:
    # special case for grayscale (single channel) images
    SCREAMING_SNAKE_CASE__      							=				[Image.fromarray(image.squeeze()			,					mode="""L"""     ) for image in images]
  else:
    SCREAMING_SNAKE_CASE__      							=				[Image.fromarray(__UpperCamelCase     ) for image in images]

  return pil_images
