


"""simple docstring"""






from math import cos, sin, sqrt, tau

from audio_filters.iir_filter import IIRFilter


def __lowercase     (      lowerCamelCase_  :      Any						,					lowerCamelCase_  :      List[Any]						,					lowerCamelCase_  :      Union[str, Any] = 1 / sqrt(2  )  ):
				SCREAMING_SNAKE_CASE__     							=				tau * frequency / samplerate
				SCREAMING_SNAKE_CASE__     							=				sin(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				cos(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				_sin / (2 * q_factor)

				SCREAMING_SNAKE_CASE__     							=				(1 - _cos) / 2
				SCREAMING_SNAKE_CASE__     							=				1 - _cos

				SCREAMING_SNAKE_CASE__     							=				1 + alpha
				SCREAMING_SNAKE_CASE__     							=				-2 * _cos
				SCREAMING_SNAKE_CASE__     							=				1 - alpha

				SCREAMING_SNAKE_CASE__     							=				IIRFilter(2  )
				filt.set_coefficients([aa, aa, aa]						,					[ba, ba, ba]  )
				return filt


def __lowercase     (      lowerCamelCase_  :      str						,					lowerCamelCase_  :      str						,					lowerCamelCase_  :      Tuple = 1 / sqrt(2  )  ):
				SCREAMING_SNAKE_CASE__     							=				tau * frequency / samplerate
				SCREAMING_SNAKE_CASE__     							=				sin(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				cos(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				_sin / (2 * q_factor)

				SCREAMING_SNAKE_CASE__     							=				(1 + _cos) / 2
				SCREAMING_SNAKE_CASE__     							=				-1 - _cos

				SCREAMING_SNAKE_CASE__     							=				1 + alpha
				SCREAMING_SNAKE_CASE__     							=				-2 * _cos
				SCREAMING_SNAKE_CASE__     							=				1 - alpha

				SCREAMING_SNAKE_CASE__     							=				IIRFilter(2  )
				filt.set_coefficients([aa, aa, aa]						,					[ba, ba, ba]  )
				return filt


def __lowercase     (      lowerCamelCase_  :      Tuple						,					lowerCamelCase_  :      List[Any]						,					lowerCamelCase_  :      int = 1 / sqrt(2  )  ):
				SCREAMING_SNAKE_CASE__     							=				tau * frequency / samplerate
				SCREAMING_SNAKE_CASE__     							=				sin(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				cos(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				_sin / (2 * q_factor)

				SCREAMING_SNAKE_CASE__     							=				_sin / 2
				SCREAMING_SNAKE_CASE__     							=				0
				SCREAMING_SNAKE_CASE__     							=				-ba

				SCREAMING_SNAKE_CASE__     							=				1 + alpha
				SCREAMING_SNAKE_CASE__     							=				-2 * _cos
				SCREAMING_SNAKE_CASE__     							=				1 - alpha

				SCREAMING_SNAKE_CASE__     							=				IIRFilter(2  )
				filt.set_coefficients([aa, aa, aa]						,					[ba, ba, ba]  )
				return filt


def __lowercase     (      lowerCamelCase_  :      Any						,					lowerCamelCase_  :      List[str]						,					lowerCamelCase_  :      Optional[Any] = 1 / sqrt(2  )  ):
				SCREAMING_SNAKE_CASE__     							=				tau * frequency / samplerate
				SCREAMING_SNAKE_CASE__     							=				sin(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				cos(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				_sin / (2 * q_factor)

				SCREAMING_SNAKE_CASE__     							=				1 - alpha
				SCREAMING_SNAKE_CASE__     							=				-2 * _cos
				SCREAMING_SNAKE_CASE__     							=				1 + alpha

				SCREAMING_SNAKE_CASE__     							=				IIRFilter(2  )
				filt.set_coefficients([ba, ba, ba]						,					[ba, ba, ba]  )
				return filt


def __lowercase     (      lowerCamelCase_  :      Dict						,					lowerCamelCase_  :      List[str]						,					lowerCamelCase_  :      int						,					lowerCamelCase_  :      Union[str, Any] = 1 / sqrt(2  )						,					):
				SCREAMING_SNAKE_CASE__     							=				tau * frequency / samplerate
				SCREAMING_SNAKE_CASE__     							=				sin(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				cos(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				_sin / (2 * q_factor)
				SCREAMING_SNAKE_CASE__     							=				10 ** (gain_db / 40)

				SCREAMING_SNAKE_CASE__     							=				1 + alpha * big_a
				SCREAMING_SNAKE_CASE__     							=				-2 * _cos
				SCREAMING_SNAKE_CASE__     							=				1 - alpha * big_a
				SCREAMING_SNAKE_CASE__     							=				1 + alpha / big_a
				SCREAMING_SNAKE_CASE__     							=				-2 * _cos
				SCREAMING_SNAKE_CASE__     							=				1 - alpha / big_a

				SCREAMING_SNAKE_CASE__     							=				IIRFilter(2  )
				filt.set_coefficients([aa, aa, aa]						,					[ba, ba, ba]  )
				return filt


def __lowercase     (      lowerCamelCase_  :      Union[str, Any]						,					lowerCamelCase_  :      str						,					lowerCamelCase_  :      List[Any]						,					lowerCamelCase_  :      Optional[int] = 1 / sqrt(2  )						,					):
				SCREAMING_SNAKE_CASE__     							=				tau * frequency / samplerate
				SCREAMING_SNAKE_CASE__     							=				sin(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				cos(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				_sin / (2 * q_factor)
				SCREAMING_SNAKE_CASE__     							=				10 ** (gain_db / 40)
				SCREAMING_SNAKE_CASE__     							=				(big_a + 1) - (big_a - 1) * _cos
				SCREAMING_SNAKE_CASE__     							=				(big_a + 1) + (big_a - 1) * _cos
				SCREAMING_SNAKE_CASE__     							=				(big_a - 1) - (big_a + 1) * _cos
				SCREAMING_SNAKE_CASE__     							=				(big_a - 1) + (big_a + 1) * _cos
				SCREAMING_SNAKE_CASE__     							=				2 * sqrt(lowerCamelCase__  ) * alpha

				SCREAMING_SNAKE_CASE__     							=				big_a * (pmc + aaa)
				SCREAMING_SNAKE_CASE__     							=				2 * big_a * mpc
				SCREAMING_SNAKE_CASE__     							=				big_a * (pmc - aaa)
				SCREAMING_SNAKE_CASE__     							=				ppmc + aaa
				SCREAMING_SNAKE_CASE__     							=				-2 * pmpc
				SCREAMING_SNAKE_CASE__     							=				ppmc - aaa

				SCREAMING_SNAKE_CASE__     							=				IIRFilter(2  )
				filt.set_coefficients([aa, aa, aa]						,					[ba, ba, ba]  )
				return filt


def __lowercase     (      lowerCamelCase_  :      Dict						,					lowerCamelCase_  :      Dict						,					lowerCamelCase_  :      Union[str, Any]						,					lowerCamelCase_  :      Optional[int] = 1 / sqrt(2  )						,					):
				SCREAMING_SNAKE_CASE__     							=				tau * frequency / samplerate
				SCREAMING_SNAKE_CASE__     							=				sin(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				cos(lowerCamelCase__  )
				SCREAMING_SNAKE_CASE__     							=				_sin / (2 * q_factor)
				SCREAMING_SNAKE_CASE__     							=				10 ** (gain_db / 40)
				SCREAMING_SNAKE_CASE__     							=				(big_a + 1) - (big_a - 1) * _cos
				SCREAMING_SNAKE_CASE__     							=				(big_a + 1) + (big_a - 1) * _cos
				SCREAMING_SNAKE_CASE__     							=				(big_a - 1) - (big_a + 1) * _cos
				SCREAMING_SNAKE_CASE__     							=				(big_a - 1) + (big_a + 1) * _cos
				SCREAMING_SNAKE_CASE__     							=				2 * sqrt(lowerCamelCase__  ) * alpha

				SCREAMING_SNAKE_CASE__     							=				big_a * (ppmc + aaa)
				SCREAMING_SNAKE_CASE__     							=				-2 * big_a * pmpc
				SCREAMING_SNAKE_CASE__     							=				big_a * (ppmc - aaa)
				SCREAMING_SNAKE_CASE__     							=				pmc + aaa
				SCREAMING_SNAKE_CASE__     							=				2 * mpc
				SCREAMING_SNAKE_CASE__     							=				pmc - aaa

				SCREAMING_SNAKE_CASE__     							=				IIRFilter(2  )
				filt.set_coefficients([aa, aa, aa]						,					[ba, ba, ba]  )
				return filt








"""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
_lowerCamelCase     =  0b1011_0011_1110_1100_1001_0000_0111_1011_1011_0001_1001_1110
# bin(x)[2:] gives bits of x as str, use int to convert them to 0/1
_lowerCamelCase     =  [int(bit) for bit in bin(WATERMARK_MESSAGE)[2:]]


class 			lowerCamelCase_		:





				"""simple docstring"""







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

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






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

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

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

								SCREAMING_SNAKE_CASE__     							=				torch.from_numpy(np.array(UpperCAmelCase__     )     ).permute(0       ,		3       ,		1       ,		2     )

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