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Java-based LeetCode algorithm problem solutions, regularly updated
package g0501_0600.s0508_most_frequent_subtree_sum;
// #Medium #Hash_Table #Depth_First_Search #Tree #Binary_Tree
// #2022_07_24_Time_4_ms_(96.83%)_Space_42.6_MB_(90.40%)
import com_github_leetcode.TreeNode;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Map;
/*
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode() {}
* TreeNode(int val) { this.val = val; }
* TreeNode(int val, TreeNode left, TreeNode right) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
public class Solution {
public int[] findFrequentTreeSum(TreeNode root) {
ArrayList arr = new ArrayList<>();
HashMap hm = new HashMap<>();
fun(root, hm);
int maxvalue = Integer.MIN_VALUE;
for (Map.Entry map : hm.entrySet()) {
if (map.getValue() > maxvalue) {
maxvalue = map.getValue();
}
}
for (Map.Entry map : hm.entrySet()) {
if (map.getValue() == maxvalue) {
arr.add(map.getKey());
}
}
int[] newArr = new int[arr.size()];
for (int i = 0; i < arr.size(); i++) {
newArr[i] = arr.get(i);
}
return newArr;
}
private int fun(TreeNode node, HashMap hm) {
if (node == null) {
return 0;
}
int left = fun(node.left, hm);
int right = fun(node.right, hm);
int sum = node.val + left + right;
if (hm.containsKey(sum)) {
hm.put(sum, hm.get(sum) + 1);
} else {
hm.put(sum, 0);
}
return sum;
}
}