

from __future__ import annotations

from collections import defaultdict
from dataclasses import dataclass


@dataclass
class 			_SCREAMING_SNAKE_CASE      :
						_UpperCamelCase:int
						_UpperCamelCase:TreeNode | None	=		None
						_UpperCamelCase:TreeNode | None	=		None




def        __UpperCamelCase     (      )				->TreeNode:



							"""simple docstring"""
							return TreeNode(3      ,  TreeNode(9		)      ,  TreeNode(20      ,  TreeNode(15		)      ,  TreeNode(7		)		)		)




def        __UpperCamelCase     (      _A					:							TreeNode		)				->list[int]:



							"""simple docstring"""

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

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

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

							lowerCamelCase_								=[]
							if not root:
														return right_view

							depth_first_search(_A      ,  0      ,  _A		)
							return right_view




def        __UpperCamelCase     (      _A					:							TreeNode		)				->list[int]:



							"""simple docstring"""

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

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

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

							lowerCamelCase_								=[]
							if not root:
														return left_view

							depth_first_search(_A      ,  0      ,  _A		)
							return left_view




def        __UpperCamelCase     (      _A					:							TreeNode		)				->list[int]:



							"""simple docstring"""

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

														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 _A		: each[0]		):
																					top_view.append(pair[1][0]		)

							lowerCamelCase_								=[]
							if not root:
														return top_view

							breadth_first_search(_A      ,  _A		)
							return top_view




def        __UpperCamelCase     (      _A					:							TreeNode		)				->list[int]:



							"""simple docstring"""
							from collections import defaultdict

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

														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 _A		: each[0]		):
																					bottom_view.append(pair[1][-1]		)

							lowerCamelCase_								=[]
							if not root:
														return bottom_view

							breadth_first_search(_A      ,  _A		)
							return bottom_view


if __name__ == "__main__":
	import doctest

	doctest.testmod()



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
    is_vision_available,
)


__A	:   Optional[int]	=					{
    'configuration_mobilevitv2': [
        'MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileViTV2Config',
        'MobileViTV2OnnxConfig',
    ],
}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A	:   Tuple	=					[
	    'MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'MobileViTV2ForImageClassification',
	    'MobileViTV2ForSemanticSegmentation',
	    'MobileViTV2Model',
	    'MobileViTV2PreTrainedModel',
	]

if TYPE_CHECKING:
	from .configuration_mobilevitva import (
	    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    MobileViTVaConfig,
	    MobileViTVaOnnxConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_mobilevitva import (
		    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MobileViTVaForImageClassification,
		    MobileViTVaForSemanticSegmentation,
		    MobileViTVaModel,
		    MobileViTVaPreTrainedModel,
		)

else:
	import sys

	__A	:   List[str]	=					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
