



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
_lowercase		:				List[str]      		=0B10_11_00_11_11_10_11_00_10_01_00_00_01_11_10_11_10_11_00_01_10_01_11_10
# bin(x)[2:] gives bits of x as str, use int to convert them to 0/1
_lowercase		:				Dict      		=[int(bit) for bit in bin(WATERMARK_MESSAGE)[2:]]

class        snake_case__    :







						"""simple docstring"""




						def __init__(       self  ) ->				Dict:
									"""simple docstring"""




									a__       :						Union[str, Any]							=  WATERMARK_BITS
									a__       :						Union[str, Any]							=  WatermarkEncoder()

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

						def 							SCREAMING_SNAKE_CASE__(       self ,       __lowercase  ) ->				Tuple:
									"""simple docstring"""




									if images.shape[-1] < 2_5_6:
												return images

									a__       :						List[str]							=  (2_5_5 * (images / 2 + 0.5)).cpu().permute(0 ,       2 ,       3 ,       1  ).float().numpy()

									a__       :						Any							=  [self.encoder.encode(__lowercase ,       """dwtDct"""  ) for image in images]

									a__       :						Any							=  torch.from_numpy(np.array(__lowercase  )  ).permute(0 ,       3 ,       1 ,       2  )

									a__       :						int							=  torch.clamp(2 * (images / 2_5_5 - 0.5) ,       min=-1.0 ,       max=1.0  )
									return images









import warnings

from ...utils import logging
from .image_processing_mobilevit import MobileViTImageProcessor


_lowercase		:				Union[str, Any]      		=logging.get_logger(__name__)

class        snake_case__    (A__		):







						"""simple docstring"""




						def __init__(       self ,       *__lowercase ,       **__lowercase  ) ->				None:
									"""simple docstring"""




									warnings.warn(
									    """The class MobileViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
									    """ Please use MobileViTImageProcessor instead.""" ,       __lowercase ,       )
									super().__init__(*__lowercase ,       **__lowercase  )




