code: def _presize(self, size:int, val_xtra_size:int=32, scale:Tuple[float]=(0.08, 1.0), ratio:Tuple[float]=(0.75, 4./3.),
               interpolation:int=2):
      "Resize images to `size` using `RandomResizedCrop`, passing along `kwargs` to train transform"
      return self.pre_transform(
          tvt.RandomResizedCrop(size, scale=scale, ratio=ratio, interpolation=interpolation), 
          [tvt.Resize(size+val_xtra_size), tvt.CenterCrop(size)]f _presize(self, size:int, val_xtra_size:int=32, scale:Tuple[float]=(0.08, 1.0), ratio:Tuple[float]=(0.75, 4./3.),
               interpolation:int=2):
      "Resize images to `size` using `RandomResizedCrop`, passing along `kwargs` to train transform"
      return self.pre_transform(
          tvt.RandomResizedCrop(size, scale=scale, ratio=ratio, interpolation=interpolation), 
          [tvt.Resize(size+val_xtra_size), tvt.CenterCrop(size)])
docs: Resize images to `size` using `RandomResizedCrop`, passing along `kwargs` to train transform