2217 Step By Step Directions From A Binary Tree Node To Another
2217 Step By Step Directions From A Binary Tree Node To Another
Step-By-Step Directions From a Binary Tree Node to Another 
You are given the root of a binary tree with n nodes. Each node is uniquely assigned a value from 1 to n. You are also given an integer startValue representing the value of the start node s, and a different integer destValue representing the value of the destination node t.
Find the shortest path starting from node s and ending at node t. Generate step-by-step directions of such path as a string consisting of only the uppercase letters ‘L’, ‘R’, and ‘U’. Each letter indicates a specific direction:
1
2
3
'L' means to go from a node to its **left child** node.
'R' means to go from a node to its **right child** node.
'U' means to go from a node to its **parent** node.
Return the step-by-step directions of the shortest path from node *s to node* t.
Example 1:
1
2
3
4
5
**Input:** root = [5,1,2,3,null,6,4], startValue = 3, destValue = 6
**Output:** "UURL"
**Explanation:** The shortest path is: 3 → 1 → 5 → 2 → 6.
Example 2:
1
2
3
4
5
**Input:** root = [2,1], startValue = 2, destValue = 1
**Output:** "L"
**Explanation:** The shortest path is: 2 → 1.
Constraints:
1
2
3
4
5
6
The number of nodes in the tree is n.
2 <= n <= 105
1 <= Node.val <= n
All the values in the tree are **unique**.
1 <= startValue, destValue <= n
startValue != destValue
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
# 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 TreeN:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
self.parent = None
self.visited = False
class Solution:
def getDirections(
self, root: TreeNode, startValue: int, destValue: int
) -> str:
start_path = []
dest_path = []
# Find paths from root to start and destination nodes
self._find_path(root, startValue, start_path)
self._find_path(root, destValue, dest_path)
directions = []
common_path_length = 0
# Find the length of the common path
while (
common_path_length < len(start_path)
and common_path_length < len(dest_path)
and start_path[common_path_length] == dest_path[common_path_length]
):
common_path_length += 1
# Add "U" for each step to go up from start to common ancestor
directions.extend("U" * (len(start_path) - common_path_length))
# Add directions from common ancestor to destination
directions.extend(dest_path[common_path_length:])
return "".join(directions)
def _find_path(self, node: TreeNode, target: int, path: List[str]) -> bool:
if node is None:
return False
if node.val == target:
return True
# Try left subtree
path.append("L")
if self._find_path(node.left, target, path):
return True
path.pop() # Remove last character
# Try right subtree
path.append("R")
if self._find_path(node.right, target, path):
return True
path.pop() # Remove last character
return False
This post is licensed under CC BY 4.0 by the author.

