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June 6, 2019 12:40
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297. Serialize and Deserialize Binary Tree | |
https://leetcode.com/problems/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]" | |
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. | |
class solution { | |
// Encodes a tree to a single string. | |
private void buildString(TreeNode root, List<String> list) { | |
if(root==null) { | |
list.add("null"); | |
return; | |
} | |
list.add( String.valueOf( root.val ) ); | |
buildString(root.left, list); | |
buildString(root.right, list); | |
} | |
public String serialize(TreeNode root) { | |
List<String> list= new ArrayList<>(); | |
buildString(root, list); | |
return String.join(" ", list); | |
} | |
// Decodes your encoded data to tree. | |
private TreeNode buildTree (Queue<String> nodes) { | |
String str= nodes.poll(); | |
if( str.equals("null") ) return null; | |
TreeNode node= new TreeNode( Integer.valueOf(str) ); | |
node.left= buildTree(nodes); | |
node.right= buildTree(nodes); | |
return node; | |
} | |
public TreeNode deserialize(String data) { | |
Queue<String> nodes= new LinkedList<>( Arrays.asList(data.split(" ")) ); | |
return buildTree(nodes); | |
} | |
} |
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