【題目】
Serialization is the process of converting a data structure or object into a sequence of bits so that it can be stored in a file or memory buffer, or transmitted across a network connection link to be reconstructed later in the same or another computer environment.
Design an algorithm to serialize and deserialize a binary tree. There is no restriction on how your serialization/deserialization algorithm should work. You just need to ensure that a binary tree can be serialized to a string and this string can be deserialized to the original tree structure.
For example, you may serialize the following tree
1 / 2 3 / 4 5as
[1,2,3,null,null,4,5]
, just the same as how LeetCode OJ serializes a binary tree. You do not necessarily need to follow this format, so please be creative and come up with different approaches yourself.
Note: Do not use class member/global/static variables to store states. Your serialize and deserialize algorithms should be stateless.
【解析】其實LeetCode上樹的表示方式就挺好,即[1,2,3,null,null,4,5]這種形式,我們接下來就實現以下這種序列化。
序列化比較容易,我們做一個層次遍歷就好,空的地方用null表示,稍微不同的地方是題目中示例得到的結果是[1,2,3,null,null,4,5,null,null,null,null,],即 4 和 5 的兩個空節點我們也存了下來。
飯序列化時,我們根據都好分割得到每個節點。需要注意的是,反序列化時如何尋找父節點與子節點的對應關系,我們知道在數組中,如果滿二叉樹(或完全二叉樹)的父節點下標是 i,那麼其左右孩子的下標分別為 2*i+1 和 2*i+2,但是這裡並不一定是滿二叉樹(或完全二叉樹),所以這個對應關系需要稍作修改。如下面這個例子:
5 / 4 7 / / 3 2 / / -1 9
序列化結果為[5,4,7,3,null,2,null,-1,null,9,null,null,null,null,null,]。
其中,節點 2 的下標是 5,可它的左孩子 9 的下標為 9,並不是 2*i+1=11,原因在於 前面有個 null 節點,這個 null 節點沒有左右孩子,所以後面的節點下標都提前了2。所以我們只需要記錄每個節點前有多少個 null 節點,就可以找出該節點的孩子在哪裡了,其左右孩子分別為 2*(i-num)+1 和 2*(i-num)+2(num為當前節點之前 null 節點的個數)。
【Java代碼】
/** * Definition for a binary tree node. * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode(int x) { val = x; } * } */ public class Codec { // Encodes a tree to a single string. public String serialize(TreeNode root) { StringBuilder sb = new StringBuilder(); Queue queue = new LinkedList(); queue.offer(root); while (!queue.isEmpty()) { TreeNode node = queue.poll(); if (node == null) { sb.append(null,); } else { sb.append(String.valueOf(node.val) + ,); queue.offer(node.left); queue.offer(node.right); } } return sb.toString(); } // Decodes your encoded data to tree. public TreeNode deserialize(String data) { if (data.isEmpty()) return null; String[] vals = data.split(,); int[] nums = new int[vals.length]; // 節點i之前null節點的個數 TreeNode[] nodes = new TreeNode[vals.length]; for (int i = 0; i < vals.length; i++) { if (i > 0) { nums[i] = nums[i - 1]; } if (vals[i].equals(null)) { nodes[i] = null; nums[i]++; } else { nodes[i] = new TreeNode(Integer.parseInt(vals[i])); } } for (int i = 0; i < vals.length; i++) { if (nodes[i] == null) { continue; } nodes[i].left = nodes[2 * (i - nums[i]) + 1]; nodes[i].right = nodes[2 * (i - nums[i]) + 2]; } return nodes[0]; } } // Your Codec object will be instantiated and called as such: // Codec codec = new Codec(); // codec.deserialize(codec.serialize(root));