



"""simple docstring"""

def       __magic_name__    (   _lowerCamelCase				: list					):
							if len(_lowerCamelCase					) <= 1:
														return lst

							__a		:		Tuple									=       1

							while i < len(_lowerCamelCase					):
														if lst[i - 1] <= lst[i]:
																					i += 1
														else:
																					__a		:		List[Any]									=       lst[i], lst[i - 1]
																					i -= 1
																					if i == 0:
																												__a		:		Union[str, Any]									=       1

							return lst


if __name__ == "__main__":
	lowercase__			   =  input("Enter numbers separated by a comma:\n").strip()
	lowercase__			   =  [int(item) for item in user_input.split(",")]
	print(gnome_sort(unsorted))





"""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

