


"""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
A     :   Optional[int]			    =			0B1_0_1_1_0_0_1_1_1_1_1_0_1_1_0_0_1_0_0_1_0_0_0_0_0_1_1_1_1_0_1_1_1_0_1_1_0_0_0_1_1_0_0_1_1_1_1_0
# bin(x)[2:] gives bits of x as str, use int to convert them to 0/1
A     :   int			    =			[int(bit) for bit in bin(WATERMARK_MESSAGE)[2:]]
class   _UpperCamelCase  :
							'''simple docstring'''







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

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



							def 			snake_case				(     self    ,   __a	):
										# can't encode images that are smaller than 256
										if images.shape[-1] < 2_56:
													return images

										__lowerCAmelCase				    =			(2_55 * (images / 2 + 0.5)).cpu().permute(0    ,   2    ,   3    ,   1	).float().numpy()

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

										__lowerCAmelCase				    =			torch.from_numpy(np.array(__a	)	).permute(0    ,   3    ,   1    ,   2	)

										__lowerCAmelCase				    =			torch.clamp(2 * (images / 2_55 - 0.5)    ,   min=-1.0    ,   max=1.0	)
										return images








"""simple docstring"""


from __future__ import annotations


def _lowerCamelCase	(		_UpperCamelCase = 4      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			abs(_UpperCamelCase      ) or 4
			return [[1 + x + y * row_size for x in range(_UpperCamelCase      )] for y in range(_UpperCamelCase      )]


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			return reverse_row(transpose(_UpperCamelCase      )      )
			# OR.. transpose(reverse_column(matrix))


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			return reverse_row(reverse_column(_UpperCamelCase      )      )
			# OR.. reverse_column(reverse_row(matrix))


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			return reverse_column(transpose(_UpperCamelCase      )      )
			# OR.. transpose(reverse_row(matrix))


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			[list(_UpperCamelCase      ) for x in zip(*_UpperCamelCase      )]
			return matrix


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			matrix[::-1]
			return matrix


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			[x[::-1] for x in matrix]
			return matrix


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




			for i in matrix:
						print(*_UpperCamelCase      )


if __name__ == "__main__":
	A     :   Dict			    =			make_matrix()
	print("\norigin:\n")
	print_matrix(matrix)
	print("\nrotate 90 counterclockwise:\n")
	print_matrix(rotate_aa(matrix))

	A     :   List[str]			    =			make_matrix()
	print("\norigin:\n")
	print_matrix(matrix)
	print("\nrotate 180:\n")
	print_matrix(rotate_aaa(matrix))

	A     :   str			    =			make_matrix()
	print("\norigin:\n")
	print_matrix(matrix)
	print("\nrotate 270 counterclockwise:\n")
	print_matrix(rotate_aaa(matrix))




