



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__    =	0B101100111110110010010000011110111011000110011110
# bin(x)[2:] gives bits of x as str, use int to convert them to 0/1
a__    =	[int(bit) for bit in bin(WATERMARK_MESSAGE)[2:]]







class 		snake_case						:



			'''simple docstring'''






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

				"""simple docstring"""







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

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


			def      UpperCamelCase_  (					self							:			Optional[int]				,		lowerCAmelCase							:			torch.FloatTensor)				->				Any:

				"""simple docstring"""







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

				_snake_case    :  List[str]					=					(255 * (images / 2 + 0.5)).cpu().permute(0				,		2				,		3				,		1).float().numpy()

				_snake_case    :  Optional[Any]					=					[self.encoder.encode(UpperCamelCase_				,		"""dwtDct""") for image in images]

				_snake_case    :  Optional[int]					=					torch.from_numpy(np.array(UpperCamelCase_)).permute(0				,		3				,		1				,		2)

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





from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
a__    =	1.0_54_57_18_17E-34  # unit of ℏ : J * s

a__    =	3E8  # unit of c : m * s^-1



def       lowercase       (   SCREAMING_SNAKE_CASE__       :	float				,       SCREAMING_SNAKE_CASE__       :	float				,       SCREAMING_SNAKE_CASE__       :	float				)  ->     dict[str, float]:

 if (force, area, distance).count(0				) != 1:
  raise ValueError("""One and only one argument must be 0"""				)
 if force < 0:
  raise ValueError("""Magnitude of force can not be negative"""				)
 if distance < 0:
  raise ValueError("""Distance can not be negative"""				)
 if area < 0:
  raise ValueError("""Area can not be negative"""				)
 if force == 0:
  _snake_case    :  Union[str, Any]					=					(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
      240 * (distance) ** 4
  )
  return {"force": force}
 elif area == 0:
  _snake_case    :  Optional[Any]					=					(240 * force * (distance) ** 4) / (
      REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
  )
  return {"area": area}
 elif distance == 0:
  _snake_case    :  str					=					(
      (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (240 * force)
  ) ** (1 / 4)
  return {"distance": distance}
 raise ValueError("""One and only one argument must be 0"""				)


# Run doctest
if __name__ == "__main__":
  import doctest

  doctest.testmod()
