


import numpy as np
import torch
from imwatermark import WatermarkEncoder


# Copied from https://github.com/Stability-AI/generative-models/blob/613af104c6b85184091d42d374fef420eddb356d/scripts/demo/streamlit_helpers.py#L66
A			:						Union[str, Any]        =  0B101100111110110010010000011110111011000110011110
# bin(x)[2:] gives bits of x as str, use int to convert them to 0/1
A			:						Any        =  [int(bit) for bit in bin(WATERMARK_MESSAGE)[2:]]



class 				A       :
					'''simple docstring'''






					def __init__(self       :		Union[str, Any]						)		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						WATERMARK_BITS
							lowercase__	     =						WatermarkEncoder()

							self.encoder.set_watermark("""bits""" ,   self.watermark						)


					def     lowerCamelCase__	(self       :		Any ,   _UpperCAmelCase       :		torch.FloatTensor						)		->  Optional[Any]:




							"""simple docstring"""


							if images.shape[-1] < 256:
									return images

							lowercase__	     =						(255 * (images / 2 + 0.5)).cpu().permute(0 ,   2 ,   3 ,   1						).float().numpy()

							lowercase__	     =						[self.encoder.encode(_UpperCAmelCase ,   """dwtDct"""						) for image in images]

							lowercase__	     =						torch.from_numpy(np.array(_UpperCAmelCase						)						).permute(0 ,   3 ,   1 ,   2						)

							lowercase__	     =						torch.clamp(2 * (images / 255 - 0.5) ,   min=-1.0 ,   max=1.0						)
							return images





import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    'The `inpainting.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionInpaintPipeline` instead.'
)

