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LeetCode 297.Serialize And Deserialize Binary Tree

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修改2018-11-05 10:50:10
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修改2018-11-05 10:50:10
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文章被收录于专栏:LeetCodeLeetCodeLeetCode

297.Serialize And Deserialize Binary Tree

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.

Example: 

You may serialize the following tree:

    1
   / \
  2   3
     / \
    4   5

as "[1,2,3,null,null,4,5]"

题目大意:讲一个二叉树进行序列化和反序列化

解法一:

前序的序列化和反序列化。

// Encodes a tree to a single string.
public String serialize(TreeNode root) {
    if (root == null ) return "#!";
    return root.val+"!"+serialize(root.left)+serialize(root.right);
}

// Decodes your encoded data to tree.
public TreeNode deserialize(String data) {
    if (data == null||data.length() == 0) return null;
    String[] values = data.split("!");
    List<String> list  = new LinkedList<>(Arrays.asList(values));
    return deserialize(list);
}

public TreeNode deserialize(List<String> list){
    String string = list.remove(0);
    if (string.equals("#")){
        return null;
    }
    TreeNode node = new TreeNode(Integer.valueOf(string));
    node.left = deserialize(list);
    node.right = deserialize(list);
    return node;
}

前序序列化一个二叉树,节点为空的的用#代替,不管数字还是#后面都添加一个!作为分隔符,以免造成歧义;

解法二:

层序的序列化和反序列化。

// Encodes a tree to a single string.
public String serializeByLevel(TreeNode root) {
    String res ="";
    if (root == null ){
        return "#!";
    }
    Queue<TreeNode> queue = new LinkedList<>();
    queue.add(root);
    res += root.val+"!";
    while (!queue.isEmpty()){
        TreeNode temp = queue.remove();
        if (temp.left!=null)
        {
            queue.add(temp.left);
            res += temp.left.val+"!";
        } else res += "#!";
        if (temp.right!=null){
            queue.add(temp.right);
            res += temp.right.val+"!";
        }else res += "#!";
    }
    return res;
}

    // Decodes your encoded data to tree.
    public TreeNode deserialize(String string) {
        if (string == null||string.length()==0) return null;
        String [] values = string.split("!");
        Queue<String> queue = new LinkedList<>();
        for (String str:values){
            queue.add(str);
        }
        Queue<TreeNode>  queue1 = new LinkedList<>();
        String first = queue.remove();
        if (first.equals("#")) return null;
        TreeNode root = new TreeNode(Integer.valueOf(first));
        queue1.add(root);
        deSerializeByLevelHelper(queue,queue1);
        return root;
    }

    public void deSerializeByLevelHelper(Queue<String>queue,Queue<TreeNode>queue1){
        String str;
        TreeNode temp;
        while (!queue1.isEmpty()){
            str = queue.remove();
            temp = queue1.remove();
            if (str.equals("#")){
                temp.left = null;
            }else {
                temp.left = new TreeNode(Integer.valueOf(str));
                queue1.add(temp.left);
            }
            str = queue.remove();
            if (str.equals("#")){
                temp.right = null;
            }else {
                temp.right = new TreeNode(Integer.valueOf(str));
                queue1.add(temp.right);
            }
        }
    }

层序的反序列化较为复杂。

关于层序的反序列化的另一种方法:(其实跟上面的方法大同小异)

  public TreeNode deserialize(String levelStr){
        String[] values = levelStr.split("!");
        int index = 0;
        TreeNode head = generateNodeByString(values[index++]);
        Queue<TreeNode> queue = new LinkedList<>();
        if (head!=null){
            queue.offer(head);
        }
        TreeNode node = null;
        while (!queue.isEmpty()){
            node = queue.poll();
            node.left = generateNodeByString(values[index++]);
            node.right = generateNodeByString(values[index++]);
            if (node.left != null){
                queue.offer(node.left);
            }
            if (node.right != null){
                queue.offer(node.right);
            }
        }return head;
    }

    public TreeNode generateNodeByString(String val){
        if (val.equals("#")) return null;
        return new TreeNode(Integer.valueOf(val));
    }

总结:

序列化与反序列化,采用前中后序较为简单,层序的反序列化较为复杂。重点注意前序反序列化的参数技巧。

原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。

如有侵权,请联系 cloudcommunity@tencent.com 删除。

原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。

如有侵权,请联系 cloudcommunity@tencent.com 删除。

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