'''simple docstring'''




from __future__ import annotations

from collections import defaultdict
from dataclasses import dataclass





@dataclass
class        __magic_name__		:
			UpperCamelCase__							=			42
			UpperCamelCase__							=			None
			UpperCamelCase__							=			None




def 				lowerCamelCase      ( )     -> TreeNode:
							return TreeNode(3 , TreeNode(9					) , TreeNode(20 , TreeNode(15					) , TreeNode(7					)					)					)




def 				lowerCamelCase      ( UpperCAmelCase__			:   List[Any]					)     -> list[int]:


							def depth_first_search(
							    UpperCAmelCase__			:   Optional[Any] , UpperCAmelCase__			:   Optional[Any] , UpperCAmelCase__			:   List[str]					) -> None:
														if not root:
																					return

														if depth == len(__snake_case					):
																					right_view.append(root.val					)

														depth_first_search(root.right , depth + 1 , __snake_case					)
														depth_first_search(root.left , depth + 1 , __snake_case					)

							lowercase_   :     Optional[int]									=			[]
							if not root:
														return right_view

							depth_first_search(__snake_case , 0 , __snake_case					)
							return right_view




def 				lowerCamelCase      ( UpperCAmelCase__			:   Dict					)     -> list[int]:


							def depth_first_search(
							    UpperCAmelCase__			:   Tuple , UpperCAmelCase__			:   Union[str, Any] , UpperCAmelCase__			:   Dict					) -> None:
														if not root:
																					return

														if depth == len(__snake_case					):
																					left_view.append(root.val					)

														depth_first_search(root.left , depth + 1 , __snake_case					)
														depth_first_search(root.right , depth + 1 , __snake_case					)

							lowercase_   :     Tuple									=			[]
							if not root:
														return left_view

							depth_first_search(__snake_case , 0 , __snake_case					)
							return left_view




def 				lowerCamelCase      ( UpperCAmelCase__			:   Tuple					)     -> list[int]:


							def breadth_first_search(UpperCAmelCase__			:   Tuple , UpperCAmelCase__			:   Dict					) -> None:
														lowercase_   :     List[str]									=			[(root, 0)]
														lowercase_   :     Any									=			defaultdict(__snake_case					)

														while queue:
																					lowercase_   :     List[Any]									=			queue.pop(0					)
																					lowercase_		,		lowercase_   :     Union[str, Any]									=			first

																					lookup[hd].append(node.val					)

																					if node.left:
																												queue.append((node.left, hd - 1)					)
																					if node.right:
																												queue.append((node.right, hd + 1)					)

														for pair in sorted(lookup.items() , key=lambda UpperCAmelCase__					: each[0]					):
																					top_view.append(pair[1][0]					)

							lowercase_   :     Tuple									=			[]
							if not root:
														return top_view

							breadth_first_search(__snake_case , __snake_case					)
							return top_view




def 				lowerCamelCase      ( UpperCAmelCase__			:   Tuple					)     -> list[int]:
							from collections import defaultdict

							def breadth_first_search(UpperCAmelCase__			:   List[Any] , UpperCAmelCase__			:   Optional[int]					) -> None:
														lowercase_   :     Optional[Any]									=			[(root, 0)]
														lowercase_   :     int									=			defaultdict(__snake_case					)

														while queue:
																					lowercase_   :     Union[str, Any]									=			queue.pop(0					)
																					lowercase_		,		lowercase_   :     Union[str, Any]									=			first
																					lookup[hd].append(node.val					)

																					if node.left:
																												queue.append((node.left, hd - 1)					)
																					if node.right:
																												queue.append((node.right, hd + 1)					)

														for pair in sorted(lookup.items() , key=lambda UpperCAmelCase__					: each[0]					):
																					bottom_view.append(pair[1][-1]					)

							lowercase_   :     str									=			[]
							if not root:
														return bottom_view

							breadth_first_search(__snake_case , __snake_case					)
							return bottom_view


if __name__ == "__main__":
						import doctest

						doctest.testmod()









from typing import List, Optional, Tuple, Union

import torch

from ...models import UNetaDModel
from ...schedulers import PNDMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput







class  lowerCamelCase__  (			lowerCAmelCase):
     SCREAMING_SNAKE_CASE__      =     42
     SCREAMING_SNAKE_CASE__      =     42





     def __init__(self						,	UpperCAmelCase						,	UpperCAmelCase			)	->  Tuple:
      super().__init__()

      _lowercase				 =PNDMScheduler.from_config(scheduler.config			)

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





     @torch.no_grad()
     def __call__(self						,	UpperCAmelCase = 1						,	UpperCAmelCase = 5_0						,	UpperCAmelCase = None						,	UpperCAmelCase = "pil"						,	UpperCAmelCase = True						,	**UpperCAmelCase						,	)	->  Union[ImagePipelineOutput, Tuple]:
      _lowercase				 =randn_tensor(
          (batch_size, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)						,	generator=UpperCAmelCase						,	device=self.device						,	)

      self.scheduler.set_timesteps(UpperCAmelCase			)
      for t in self.progress_bar(self.scheduler.timesteps			):
       _lowercase				 =self.unet(UpperCAmelCase						,	UpperCAmelCase			).sample

       _lowercase				 =self.scheduler.step(UpperCAmelCase						,	UpperCAmelCase						,	UpperCAmelCase			).prev_sample

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

      if not return_dict:
       return (image,)

      return ImagePipelineOutput(images=UpperCAmelCase			)

