Given a binary tree, collect a tree's nodes as if you were doing this: Collect and remove all leaves, repeat until the tree is empty.

Example:
Given binary tree
1
/ \
2 3
/ \
4 5
Returns [4, 5, 3], [2], [1]. Explanation:
1. Removing the leaves [4, 5, 3] would result in this tree: 1
/
2
2. Now removing the leaf [2] would result in this tree: 1
3. Now removing the leaf [1] would result in the empty tree: []
Returns [4, 5, 3], [2], [1].

Better Solution: https://discuss.leetcode.com/topic/49194/10-lines-simple-java-solution-using-recursion-with-explanation/2

For this question we need to take bottom-up approach. The key is to find the height of each node. The height of a node is the number of edges from the node to the deepest leaf.

 /**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public List<List<Integer>> findLeaves(TreeNode root) {
List<List<Integer>> res = new ArrayList<>();
helper(root, res);
return res;
} public int helper(TreeNode cur, List<List<Integer>> res) {
if (cur == null) return -1;
int level = 1 + Math.max(helper(cur.left, res), helper(cur.right, res));
if (res.size() <= level)
res.add(new ArrayList<Integer>());
res.get(level).add(cur.val);
cur.left = cur.right = null;
return level;
}
}

First time solution: HashSet+ DFS

 /**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public List<List<Integer>> findLeaves(TreeNode root) {
ArrayList<List<Integer>> res = new ArrayList<List<Integer>>();
if (root == null) return res;
HashSet<TreeNode> visited = new HashSet<>();
while (!visited.contains(root)) {
ArrayList<Integer> leaves = new ArrayList<Integer>();
helper(root, leaves, visited);
res.add(new ArrayList<Integer>(leaves));
}
return res;
} public void helper(TreeNode cur, ArrayList<Integer> leaves, HashSet<TreeNode> visited) {
if ((cur.left==null || visited.contains(cur.left)) && (cur.right==null || visited.contains(cur.right))) {
leaves.add(cur.val);
visited.add(cur);
return;
}
if (cur.left!=null && !visited.contains(cur.left))
helper(cur.left, leaves, visited);
if (cur.right!=null && !visited.contains(cur.right))
helper(cur.right, leaves, visited);
}
}

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