




import torch

from diffusers import DiffusionPipeline






class  __magic_name__						(  __UpperCAmelCase):
				'''simple docstring'''







				def __init__(							self:   Union[str, Any]		,					_lowerCamelCase:   int		,					_lowerCamelCase:   Any		):
											super().__init__()

											self.register_modules(unet=_lowerCamelCase		,					scheduler=_lowerCamelCase		)





				def __call__(							self:   Tuple		):
											SCREAMING_SNAKE_CASE_   	=    torch.randn(
											    (1, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)		,					)
											SCREAMING_SNAKE_CASE_   	=    1

											SCREAMING_SNAKE_CASE_   	=    self.unet(_lowerCamelCase		,					_lowerCamelCase		).sample
											SCREAMING_SNAKE_CASE_   	=    self.scheduler.step(_lowerCamelCase		,					_lowerCamelCase		,					_lowerCamelCase		).prev_sample

											SCREAMING_SNAKE_CASE_   	=    scheduler_output - scheduler_output + torch.ones_like(_lowerCamelCase		)

											return result








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
__SCREAMING_SNAKE_CASE 						=1.0_5_4_5_7_1_8_1_7e-3_4  # unit of ℏ : J * s

__SCREAMING_SNAKE_CASE 						=3e8  # unit of c : m * s^-1

def 			a   (_lowerCAmelCase  ,    _lowerCAmelCase  ,    _lowerCAmelCase     ):

							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:
														SCREAMING_SNAKE_CASE_   	=    (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
														    2_4_0 * (distance) ** 4
														)
														return {"force": force}
							elif area == 0:
														SCREAMING_SNAKE_CASE_   	=    (2_4_0 * force * (distance) ** 4) / (
														    REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
														)
														return {"area": area}
							elif distance == 0:
														SCREAMING_SNAKE_CASE_   	=    (
														    (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (2_4_0 * 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()


