1093. Recover A Tree From Preorder Traversal¶
Difficulty: Hard
LeetCode Problem View on GitHub
1093. Recover a Tree From Preorder Traversal
Hard
We run a preorder depth-first search (DFS) on the root of a binary tree.
At each node in this traversal, we output D dashes (where D is the depth of this node), then we output the value of this node. If the depth of a node is D, the depth of its immediate child is D + 1. The depth of the root node is 0.
If a node has only one child, that child is guaranteed to be the left child.
Given the output traversal of this traversal, recover the tree and return its root.
Example 1:

Input: traversal = "1-2--3--4-5--6--7" Output: [1,2,5,3,4,6,7]
Example 2:

Input: traversal = "1-2--3---4-5--6---7" Output: [1,2,5,3,null,6,null,4,null,7]
Example 3:

Input: traversal = "1-401--349---90--88" Output: [1,401,null,349,88,90]
Constraints:
- The number of nodes in the original tree is in the range
[1, 1000]. 1 <= Node.val <= 109
Solution¶
class Solution {
public TreeNode recoverFromPreorder(String S) {
int n = S.length();
HashMap<Integer, TreeNode> map = new HashMap<>();
int i = 0;
while(i < n) {
int curLevel = 0, num = 0;
while(i < S.length() && S.charAt(i) == '-') {
++curLevel;
++i;
}
while(i < n && S.charAt(i) >= '0' && S.charAt(i) <= '9') {
num = num * 10 + (S.charAt(i) - '0');
i++;
}
TreeNode current = new TreeNode(num);
map.put(curLevel, current);
if(curLevel > 0) {
TreeNode parent = map.get(curLevel - 1);
if(parent.left == null) parent.left = current;
else parent.right = current;
}
}
return map.get(0);
}
}
Complexity Analysis¶
- Time Complexity:
O(?) - Space Complexity:
O(?)
Approach¶
Detailed explanation of the approach will be added here