



"""simple docstring"""

from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors





def       __magic_name__    (   _lowerCamelCase				: int					):
							__a		:		Optional[int]									=       prime_factors(_lowerCamelCase					)
							if is_square_free(_lowerCamelCase					):
														return -1 if len(_lowerCamelCase					) % 2 else 1
							return 0


if __name__ == "__main__":
	import doctest

	doctest.testmod()






"""simple docstring"""

import torch

from diffusers import DiffusionPipeline




class SCREAMING_SNAKE_CASE__					(		__snake_case      ):



						def __init__(self						,     _lowercase						,     _lowercase							):





													'''simple docstring'''

													super().__init__()

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





						def __call__(self							):





													'''simple docstring'''

													__a		:		Dict									=       torch.randn(
													    (1, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)						,     )
													__a		:		Optional[Any]									=       1

													__a		:		List[str]									=       self.unet(_lowercase						,     _lowercase							).sample
													__a		:		Union[str, Any]									=       self.scheduler.step(_lowercase						,     _lowercase						,     _lowercase							).prev_sample

													__a		:		Optional[int]									=       scheduler_output - scheduler_output + torch.ones_like(_lowercase							)

													return result

