




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"):
     _UpperCAmelCase		:  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:
     _UpperCAmelCase		:  Optional[int]	=   {
         "linear": PIL.Image.LINEAR,
         "bilinear": PIL.Image.BILINEAR,
         "bicubic": PIL.Image.BICUBIC,
         "lanczos": PIL.Image.LANCZOS,
         "nearest": PIL.Image.NEAREST,
     }



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







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

  return pil_images









from typing import TYPE_CHECKING

from ....utils import _LazyModule


_UpperCAmelCase		:  Dict	=   {"tokenization_tapex": ["TapexTokenizer"]}


if TYPE_CHECKING:
     from .tokenization_tapex import TapexTokenizer


else:
     import sys

     _UpperCAmelCase		:  Optional[Any]	=   _LazyModule(__name__, globals()["__file__"], _import_structure)



