


"""simple docstring"""



from __future__ import annotations

from collections import defaultdict
from dataclasses import dataclass







@dataclass
class       __a	:
				lowerCamelCase    :					int
				lowerCamelCase    :					TreeNode | None 					=None
				lowerCamelCase    :					TreeNode | None 					=None




def     UpperCAmelCase    (					)	->   TreeNode:


	"""simple docstring"""




	return TreeNode(3 ,      TreeNode(9  ) ,      TreeNode(2_0 ,      TreeNode(1_5  ) ,      TreeNode(7  )  )  )
def     UpperCAmelCase    (					_lowercase   :      TreeNode  )	->   list[int]:


	"""simple docstring"""




	def depth_first_search(
	    _lowercase   :      TreeNode | None ,      _lowercase   :      int ,      _lowercase   :      list[int]  ) -> None:
		if not root:
			return

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

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

	lowerCAmelCase_			       = []
	if not root:
		return right_view

	depth_first_search(_lowercase ,      0 ,      _lowercase  )
	return right_view
def     UpperCAmelCase    (					_lowercase   :      TreeNode  )	->   list[int]:


	"""simple docstring"""




	def depth_first_search(
	    _lowercase   :      TreeNode | None ,      _lowercase   :      int ,      _lowercase   :      list[int]  ) -> None:
		if not root:
			return

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

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

	lowerCAmelCase_			       = []
	if not root:
		return left_view

	depth_first_search(_lowercase ,      0 ,      _lowercase  )
	return left_view
def     UpperCAmelCase    (					_lowercase   :      TreeNode  )	->   list[int]:


	"""simple docstring"""




	def breadth_first_search(_lowercase   :      TreeNode ,      _lowercase   :      list[int]  ) -> None:
		lowerCAmelCase_			       = [(root, 0)]
		lowerCAmelCase_			       = defaultdict(_lowercase  )

		while queue:
			lowerCAmelCase_			       = queue.pop(0  )
			lowerCAmelCase_       ,  lowerCAmelCase_			       = 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 _lowercase  : each[0]  ):
			top_view.append(pair[1][0]  )

	lowerCAmelCase_			       = []
	if not root:
		return top_view

	breadth_first_search(_lowercase ,      _lowercase  )
	return top_view
def     UpperCAmelCase    (					_lowercase   :      TreeNode  )	->   list[int]:


	"""simple docstring"""




	from collections import defaultdict

	def breadth_first_search(_lowercase   :      TreeNode ,      _lowercase   :      list[int]  ) -> None:
		lowerCAmelCase_			       = [(root, 0)]
		lowerCAmelCase_			       = defaultdict(_lowercase  )

		while queue:
			lowerCAmelCase_			       = queue.pop(0  )
			lowerCAmelCase_       ,  lowerCAmelCase_			       = 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 _lowercase  : each[0]  ):
			bottom_view.append(pair[1][-1]  )

	lowerCAmelCase_			       = []
	if not root:
		return bottom_view

	breadth_first_search(_lowercase ,      _lowercase  )
	return bottom_view


if __name__ == "__main__":
		import doctest

		doctest.testmod()



"""simple docstring"""



from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available







@dataclass
class       __a	(   __snake_case       ):
				lowerCamelCase    :					int 					={
				    'sld_warmup_steps': 15,
				    'sld_guidance_scale': 20,
				    'sld_threshold': 0.0,
				    'sld_momentum_scale': 0.0,
				    'sld_mom_beta': 0.0,
				}
				lowerCamelCase    :					Optional[Any] 					={
				    'sld_warmup_steps': 10,
				    'sld_guidance_scale': 1000,
				    'sld_threshold': 0.01,
				    'sld_momentum_scale': 0.3,
				    'sld_mom_beta': 0.4,
				}
				lowerCamelCase    :					List[str] 					={
				    'sld_warmup_steps': 7,
				    'sld_guidance_scale': 2000,
				    'sld_threshold': 0.025,
				    'sld_momentum_scale': 0.5,
				    'sld_mom_beta': 0.7,
				}
				lowerCamelCase    :					Any 					={
				    'sld_warmup_steps': 0,
				    'sld_guidance_scale': 5000,
				    'sld_threshold': 1.0,
				    'sld_momentum_scale': 0.5,
				    'sld_mom_beta': 0.7,
				}







@dataclass
class       __a	(   __snake_case       ):
				lowerCamelCase    :					Union[List[PIL.Image.Image], np.ndarray]
				lowerCamelCase    :					Optional[List[bool]]
				lowerCamelCase    :					Optional[Union[List[PIL.Image.Image], np.ndarray]]
				lowerCamelCase    :					Optional[str]


if is_transformers_available() and is_torch_available():
		from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
		from .safety_checker import SafeStableDiffusionSafetyChecker