leetcode-cn Daily Challenge on June 16, 2020.
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.
You may serialize the following tree: 1 / \ 2 3 / \ 4 5 as "[1,2,3,null,null,4,5]"
Clarification: The above format is the same as how LeetCode 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.
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Java
Runtime: 9 ms, faster than 76.65%, Memory Usage: 40.8 MB, less than 92.82% of Java online submissions
// O(N)time O(N)space // Encodes a tree to a single string. public String serialize(TreeNode root) { if (root == null) { return null; } LinkedList<TreeNode> record = new LinkedList<>(); record.add(root); LinkedList<TreeNode> list = new LinkedList<>(); while (record.size() > 0) { TreeNode node = record.removeFirst(); if (node == null) { list.add(null); continue; } list.add(node); if (node.left == null) { record.add(null); } else { record.add(node.left); } if (node.right == null) { record.add(null); } else { record.add(node.right); } } while (list.getLast() == null) { list.removeLast(); } StringBuilder sb = new StringBuilder(); while (list.size() > 0) { TreeNode node = list.removeFirst(); if (node == null) { sb.append("null").append(","); } else { sb.append(node.val).append(","); } } String res = sb.toString(); return res.substring(0, res.length() - 1); } // Decodes your encoded data to tree. public TreeNode deserialize(String data) { if (data == null || data.length() == 0) { return null; } String[] arr = data.split(","); TreeNode res = new TreeNode(Integer.parseInt(arr[0])); LinkedList<TreeNode> list = new LinkedList<>(); list.add(res); for (int i = 1; i < arr.length; i += 2) { TreeNode node = list.removeFirst(); if ("null".equals(arr[i])) { node.left = null; } else { TreeNode left = new TreeNode(Integer.parseInt(arr[i])); list.add(left); node.left = left; } if (i + 1 >= arr.length) { break; } if ("null".equals(arr[i + 1])) { node.right = null; } else { TreeNode right = new TreeNode(Integer.parseInt(arr[i + 1])); list.add(right); node.right = right; } } return res; }
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the most votes
Runtime: 7 ms, faster than 93.40%, Memory Usage: 41 MB, less than 86.17% of Java online submissions
// O(N)time O(N)space private static final String spliter = ","; private static final String NN = "X"; // Encodes a tree to a single string. public String serialize(TreeNode root) { StringBuilder sb = new StringBuilder(); buildString(root, sb); return sb.toString(); } private void buildString(TreeNode node, StringBuilder sb) { if (node == null) { sb.append(NN).append(spliter); } else { sb.append(node.val).append(spliter); buildString(node.left, sb); buildString(node.right,sb); } } // Decodes your encoded data to tree. public TreeNode deserialize(String data) { Deque<String> nodes = new LinkedList<>(); nodes.addAll(Arrays.asList(data.split(spliter))); return buildTree(nodes); } private TreeNode buildTree(Deque<String> nodes) { String val = nodes.remove(); if (val.equals(NN)) return null; else { TreeNode node = new TreeNode(Integer.valueOf(val)); node.left = buildTree(nodes); node.right = buildTree(nodes); return node; } }