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First completed : July 15, 2024
Last updated : July 15, 2024
Related Topics : Hash Table, Tree, Depth-First Search, Breadth-First Search, Binary Tree
Acceptance Rate : 73.91 %
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def findDistance(self, root: Optional[TreeNode], p: int, q: int) -> int:
path = [root]
pPath = []
qPath = []
def dfs(path: List[Optional[TreeNode]],
pPath: List[Optional[TreeNode]],
qPath: List[Optional[TreeNode]]) -> None :
if pPath and qPath :
return
if path[-1].val == p :
pPath.extend(path)
if path[-1].val == q :
qPath.extend(path)
if path[-1].left :
path.append(path[-1].left)
dfs(path, pPath, qPath)
path.pop()
if path[-1].right :
path.append(path[-1].right)
dfs(path, pPath, qPath)
path.pop()
dfs(path, pPath, qPath)
cnter = 0
while len(pPath) < len(qPath) :
cnter += 1
qPath.pop()
while len(pPath) > len(qPath) :
cnter += 1
pPath.pop()
while pPath[-1] != qPath[-1] :
cnter += 2
pPath.pop()
qPath.pop()
return cnter
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def findDistance(self, root: Optional[TreeNode], p: int, q: int) -> int:
path = [root]
pPath = set()
qPath = set()
def dfs(path: List[Optional[TreeNode]],
pPath: Set[Optional[TreeNode]],
qPath: Set[Optional[TreeNode]]) -> None :
if pPath and qPath :
return
if path[-1].val == p :
pPath.update(path)
if path[-1].val == q :
qPath.update(path)
if path[-1].left :
path.append(path[-1].left)
dfs(path, pPath, qPath)
path.pop()
if path[-1].right :
path.append(path[-1].right)
dfs(path, pPath, qPath)
path.pop()
dfs(path, pPath, qPath)
return len(pPath) + len(qPath) - len(pPath & qPath) * 2