chapter-four/1000~1099/1028.Recover-a-Tree-From-Preorder-Traversal

1028. Recover a Tree From Preorder Traversal

题目

We run a preorder depth first search 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 S of this traversal, recover the tree and return its root.

Example 1:

https://assets.leetcode.com/uploads/2019/04/08/recover-a-tree-from-preorder-traversal.png

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

Example 2:

https://assets.leetcode.com/uploads/2019/04/11/screen-shot-2019-04-10-at-114101-pm.png

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

Example 3:

https://assets.leetcode.com/uploads/2019/04/11/screen-shot-2019-04-10-at-114955-pm.png

Input: "1-401--349---90--88"
Output: [1,401,null,349,88,90]

Note:

  • The number of nodes in the original tree is between 1 and 1000.
  • Each node will have a value between 1 and 10^9.

题目大意

我们从二叉树的根节点 root 开始进行深度优先搜索。

在遍历中的每个节点处,我们输出 D 条短划线(其中 D 是该节点的深度),然后输出该节点的值。(如果节点的深度为 D,则其直接子节点的深度为 D + 1。根节点的深度为 0)。如果节点只有一个子节点,那么保证该子节点为左子节点。给出遍历输出 S,还原树并返回其根节点 root。

提示:

  • 原始树中的节点数介于 1 和 1000 之间。
  • 每个节点的值介于 1 和 10 ^ 9 之间。

解题思路

  • 给出一个字符串,字符串是一个树的先根遍历的结果,其中破折号的个数代表层数。请根据这个字符串生成对应的树。
  • 这一题解题思路比较明确,用 DFS 就可以解题。边深搜字符串,边根据破折号的个数判断当前节点是否属于本层。如果不属于本层,回溯到之前的根节点,添加叶子节点以后再继续深搜。需要注意的是每次深搜时,扫描字符串的 index 需要一直保留,回溯也需要用到这个 index。

代码

package leetcode import ( "strconv" ) /** * Definition for a binary tree node. * type TreeNode struct { * Val int * Left *TreeNode * Right *TreeNode * } */ func recoverFromPreorder(S string) *TreeNode { if len(S) == 0 { return &TreeNode{} } root, index, level := &TreeNode{}, 0, 0 cur := root dfsBuildPreorderTree(S, &index, &level, cur) return root.Right } func dfsBuildPreorderTree(S string, index, level *int, cur *TreeNode) (newIndex *int) { if *index == len(S) { return index } if *index == 0 && *level == 0 { i := 0 for i = *index; i < len(S); i++ { if !isDigital(S[i]) { break } } num, _ := strconv.Atoi(S[*index:i]) tmp := &TreeNode{Val: num, Left: nil, Right: nil} cur.Right = tmp nLevel := *level + 1 index = dfsBuildPreorderTree(S, &i, &nLevel, tmp) index = dfsBuildPreorderTree(S, index, &nLevel, tmp) } i := 0 for i = *index; i < len(S); i++ { if isDigital(S[i]) { break } } if *level == i-*index { j := 0 for j = i; j < len(S); j++ { if !isDigital(S[j]) { break } } num, _ := strconv.Atoi(S[i:j]) tmp := &TreeNode{Val: num, Left: nil, Right: nil} if cur.Left == nil { cur.Left = tmp nLevel := *level + 1 index = dfsBuildPreorderTree(S, &j, &nLevel, tmp) index = dfsBuildPreorderTree(S, index, level, cur) } else if cur.Right == nil { cur.Right = tmp nLevel := *level + 1 index = dfsBuildPreorderTree(S, &j, &nLevel, tmp) index = dfsBuildPreorderTree(S, index, level, cur) } } return index }