【题目】
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】其实LeetCode上树的表示方式就挺好,即"[1,2,3,null,null,4,5]"这种形式,我们接下来就实现以下这种序列化。
序列化比较容易,我们做一个层次遍历就好,空的地方用null表示,稍微不同的地方是题目中示例得到的结果是"[1,2,3,null,null,4,5,null,null,null,null,]",即 4 和 5 的两个空节点我们也存了下来。
饭序列化时,我们根据都好分割得到每个节点。需要注意的是,反序列化时如何寻找父节点与子节点的对应关系,我们知道在数组中,如果满二叉树(或完全二叉树)的父节点下标是 i,那么其左右孩子的下标分别为 2*i+1 和 2*i+2,但是这里并不一定是满二叉树(或完全二叉树),所以这个对应关系需要稍作修改。如下面这个例子:
5 / \ 4 7 / / 3 2 / / -1 9
序列化结果为[5,4,7,3,null,2,null,-1,null,9,null,null,null,null,null,]。
其中,节点 2 的下标是 5,可它的左孩子 9 的下标为 9,并不是 2*i+1=11,原因在于 前面有个 null 节点,这个 null 节点没有左右孩子,所以后面的节点下标都提前了2。所以我们只需要记录每个节点前有多少个 null 节点,就可以找出该节点的孩子在哪里了,其左右孩子分别为 2*(i-num)+1 和 2*(i-num)+2(num为当前节点之前 null 节点的个数)。
【Java代码】
/** * 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<TreeNode> queue = new LinkedList<TreeNode>(); 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]; // 节点i之前null节点的个数 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));
这道题比较简洁的写法是递归,参见https://leetcode.com/discuss/66117/easy-to-understand-java-solution。