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First completed : June 26, 2024
Last updated : June 26, 2024
Related Topics : Hash Table, Tree, Depth-First Search, Breadth-First Search, Binary Tree
Acceptance Rate : 65.48 %
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def distanceK(self, root: TreeNode, target: TreeNode, k: int) -> List[int]:
output = []
if k == 0 :
output.append(target.val)
return output
def goingDown(curr: TreeNode) -> int :
if not curr :
return -1
if curr == target :
goDownK(curr.left, k - 1)
goDownK(curr.right, k - 1)
return k - 1
left = goingDown(curr.left)
right = goingDown(curr.right)
if right == 0 or left == 0:
output.append(curr.val)
return -1
if right > 0 :
goDownK(curr.left, right - 1)
return right - 1
if left > 0 :
goDownK(curr.right, left - 1)
return left - 1
return -1
def goDownK(curr: TreeNode, kCounter: int) -> None :
if not curr :
return
if not kCounter :
output.append(curr.val)
return
kCounter -= 1
goDownK(curr.left, kCounter)
goDownK(curr.right, kCounter)
goingDown(root)
return output