
"""simple docstring"""





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




		"""simple docstring"""





		def __init__(     self):
				__SCREAMING_SNAKE_CASE            = WATERMARK_BITS
				__SCREAMING_SNAKE_CASE            = WatermarkEncoder()

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




		def 	snake_case_     (     self							,  lowerCAmelCase__):
				# can't encode images that are smaller than 256
				if images.shape[-1] < 2_5_6:
						return images

				__SCREAMING_SNAKE_CASE            = (2_5_5 * (images / 2 + 0.5)).cpu().permute(0							,  2							,  3							,  1).float().numpy()

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

				__SCREAMING_SNAKE_CASE            = torch.from_numpy(np.array(lowerCAmelCase__)).permute(0							,  3							,  1							,  2)

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






"""simple docstring"""





def 						_lowerCAmelCase				(				UpperCamelCase_ = 10**9				):
		__SCREAMING_SNAKE_CASE            = 1
		__SCREAMING_SNAKE_CASE            = 2

		__SCREAMING_SNAKE_CASE            = 0
		__SCREAMING_SNAKE_CASE            = 0
		__SCREAMING_SNAKE_CASE            = 0
		while perimeter <= max_perimeter:
				perimeters_sum += perimeter

				prev_value += 2 * value
				value += prev_value

				__SCREAMING_SNAKE_CASE            = 2 * value + 2 if i % 2 == 0 else 2 * value - 2
				i += 1

		return perimeters_sum


if __name__ == "__main__":
							print(F"""{solution() = }""")




