

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					:  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:
       _SCREAMING_SNAKE_CASE					:  Union[str, Any]             =      {
           '''linear''': PIL.Image.LINEAR,
           '''bilinear''': PIL.Image.BILINEAR,
           '''bicubic''': PIL.Image.BICUBIC,
           '''lanczos''': PIL.Image.LANCZOS,
           '''nearest''': PIL.Image.NEAREST,
       }
def     UpperCAmelCase_       (						_A    ):





     '''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(_A    )
     return images







def     UpperCAmelCase_       (						_A    ):





     '''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(_A    ) for image in images]

     return pil_images





from __future__ import annotations
def     UpperCAmelCase_       (						_A    ):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__   =   len(_A    ) // 2

     # choose the middle 3 elements
     SCREAMING_SNAKE_CASE__   =   lst[m - 1 : m + 2]

     # if middle element is peak
     if three[1] > three[0] and three[1] > three[2]:
          return three[1]

     # if increasing, recurse on right
     elif three[0] < three[2]:
          if len(lst[:m]    ) == 2:
               m -= 1
          return peak(lst[m:]    )

     # decreasing
     else:
          if len(lst[:m]    ) == 2:
               m += 1
          return peak(lst[:m]    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()


