


from __future__ import annotations

from collections.abc import Iterator
from typing import Any







class        __lowercase       :



		"""simple docstring"""

		def __init__( self		,      A	)  -> Dict:







					'''simple docstring'''







					lowerCamelCase    		=  data
					lowerCamelCase    		=  None







class        __lowercase       :



		"""simple docstring"""

		def __init__( self	)  -> Optional[Any]:







					'''simple docstring'''







					lowerCamelCase    		=  None
					lowerCamelCase    		=  None







		def __iter__( self	)  -> Iterator[Any]:







					'''simple docstring'''







					lowerCamelCase    		=  self.head
					while self.head:
								yield node.data
								lowerCamelCase    		=  node.next
								if node == self.head:
											break







		def __len__( self	)  -> int:







					'''simple docstring'''







					return sum(1 for _ in self	)







		def __repr__( self	)  -> Tuple:







					'''simple docstring'''







					return "->".join(str(A	) for item in iter(self	)	)







		def 					__A   ( self		,      A	)  -> None:







					'''simple docstring'''







					self.insert_nth(len(self	)		,      A	)







		def 					__A   ( self		,      A	)  -> None:







					'''simple docstring'''







					self.insert_nth(0		,      A	)







		def 					__A   ( self		,      A		,      A	)  -> None:







					'''simple docstring'''







					if index < 0 or index > len(self	):
								raise IndexError("""list index out of range."""	)
					lowerCamelCase    		=  Node(A	)
					if self.head is None:
								lowerCamelCase    		=  new_node  # first node points itself
								lowerCamelCase    		=  lowerCamelCase    		=  new_node
					elif index == 0:  # insert at head
								lowerCamelCase    		=  self.head
								lowerCamelCase    		=  lowerCamelCase    		=  new_node
					else:
								lowerCamelCase    		=  self.head
								for _ in range(index - 1	):
											lowerCamelCase    		=  temp.next
								lowerCamelCase    		=  temp.next
								lowerCamelCase    		=  new_node
								if index == len(self	) - 1:  # insert at tail
											lowerCamelCase    		=  new_node







		def 					__A   ( self	)  -> List[str]:







					'''simple docstring'''







					return self.delete_nth(0	)







		def 					__A   ( self	)  -> Any:







					'''simple docstring'''







					return self.delete_nth(len(self	) - 1	)







		def 					__A   ( self		,      A = 0	)  -> Any:







					'''simple docstring'''







					if not 0 <= index < len(self	):
								raise IndexError("""list index out of range."""	)
					lowerCamelCase    		=  self.head
					if self.head == self.tail:  # just one node
								lowerCamelCase    		=  lowerCamelCase    		=  None
					elif index == 0:  # delete head node
								lowerCamelCase    		=  self.tail.next.next
								lowerCamelCase    		=  self.head.next
					else:
								lowerCamelCase    		=  self.head
								for _ in range(index - 1	):
											lowerCamelCase    		=  temp.next
								lowerCamelCase    		=  temp.next
								lowerCamelCase    		=  temp.next.next
								if index == len(self	) - 1:  # delete at tail
											lowerCamelCase    		=  temp
					return delete_node.data







		def 					__A   ( self	)  -> bool:







					'''simple docstring'''







					return len(self	) == 0






def 	__lowerCamelCase						(							):





			'''simple docstring'''




			lowerCamelCase    		=  CircularLinkedList()
			assert len(lowerCamelCase__      ) == 0
			assert circular_linked_list.is_empty() is True
			assert str(lowerCamelCase__      ) == ""

			try:
						circular_linked_list.delete_front()
						raise AssertionError  # This should not happen
			except IndexError:
						assert True  # This should happen

			try:
						circular_linked_list.delete_tail()
						raise AssertionError  # This should not happen
			except IndexError:
						assert True  # This should happen

			try:
						circular_linked_list.delete_nth(-1      )
						raise AssertionError
			except IndexError:
						assert True

			try:
						circular_linked_list.delete_nth(0      )
						raise AssertionError
			except IndexError:
						assert True

			assert circular_linked_list.is_empty() is True
			for i in range(5      ):
						assert len(lowerCamelCase__      ) == i
						circular_linked_list.insert_nth(lowerCamelCase__  ,							i + 1      )
			assert str(lowerCamelCase__      ) == "->".join(str(lowerCamelCase__      ) for i in range(1  ,							6      )      )

			circular_linked_list.insert_tail(6      )
			assert str(lowerCamelCase__      ) == "->".join(str(lowerCamelCase__      ) for i in range(1  ,							7      )      )
			circular_linked_list.insert_head(0      )
			assert str(lowerCamelCase__      ) == "->".join(str(lowerCamelCase__      ) for i in range(0  ,							7      )      )

			assert circular_linked_list.delete_front() == 0
			assert circular_linked_list.delete_tail() == 6
			assert str(lowerCamelCase__      ) == "->".join(str(lowerCamelCase__      ) for i in range(1  ,							6      )      )
			assert circular_linked_list.delete_nth(2      ) == 3

			circular_linked_list.insert_nth(2  ,							3      )
			assert str(lowerCamelCase__      ) == "->".join(str(lowerCamelCase__      ) for i in range(1  ,							6      )      )

			assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
		import doctest

		doctest.testmod()





# limitations under the License.


from typing import Optional, Tuple, Union

import torch

from diffusers import DiffusionPipeline, ImagePipelineOutput







class        __lowercase       (							a_  ):



		"""simple docstring"""

		def __init__( self		,      A		,      A	)  -> List[Any]:







					'''simple docstring'''







					super().__init__()
					self.register_modules(unet=A		,      scheduler=A	)







		@torch.no_grad()
		def __call__( self		,      A = 1		,      A = None		,      A = 50		,      A = "pil"		,      A = True		,      **A		,      )  -> Union[ImagePipelineOutput, Tuple]:







					'''simple docstring'''







					lowerCamelCase    		=  torch.randn(
					    (batch_size, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)		,      generator=A		,      )
					lowerCamelCase    		=  image.to(self.device	)

					# set step values
					self.scheduler.set_timesteps(A	)

					for t in self.progress_bar(self.scheduler.timesteps	):
								# 1. predict noise model_output
								lowerCamelCase    		=  self.unet(A		,      A	).sample

								# 2. predict previous mean of image x_t-1 and add variance depending on eta
								# eta corresponds to η in paper and should be between [0, 1]
								# do x_t -> x_t-1
								lowerCamelCase    		=  self.scheduler.step(A		,      A		,      A	).prev_sample

					lowerCamelCase    		=  (image / 2 + 0.5).clamp(0		,      1	)
					lowerCamelCase    		=  image.cpu().permute(0		,      2		,      3		,      1	).numpy()
					if output_type == "pil":
								lowerCamelCase    		=  self.numpy_to_pil(A	)

					if not return_dict:
								return (image,), "This is a local test"

					return ImagePipelineOutput(images=A	), "This is a local test"

