[抄题]:

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].

[暴力解法]:

时间分析:

空间分析:

[优化后]:

时间分析:

空间分析:

[奇葩输出条件]:

[奇葩corner case]:

root为空

[思维问题]:

没看出来是dc-depth的题,详见此图,请理解:

[英文数据结构或算法,为什么不用别的数据结构或算法]:

[一句话思路]:

[输入量]:空: 正常情况:特大:特小:程序里处理到的特殊情况:异常情况(不合法不合理的输入):

[画图]:

[一刷]:

  1. res.get(level).add(node.val);可以实现精确添加,指定哪一层添加哪个数

[二刷]:

双层数组的添加,直接.add(new ArrayList<>());就行了 不需要指定名字

helper(result, root); int函数调用的时候可以没有返回值,直接用

[三刷]:

[四刷]:

[五刷]:

[五分钟肉眼debug的结果]:

[总结]:

[复杂度]:Time complexity: O(n) Space complexity: O(n)

[算法思想:迭代/递归/分治/贪心]:

[关键模板化代码]:

[其他解法]:

[Follow Up]:

[LC给出的题目变变变]:

[代码风格] :

[是否头一次写此类driver funcion的代码] :

[潜台词] :

/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
class Solution {
public List<List<Integer>> findLeaves(TreeNode root) {
//ini
List<List<Integer>> result = new ArrayList<List<Integer>>(); //cc
if (root == null) return result; //call the helper function
depthHelper(result, root); //return
return result;
} public int depthHelper(List<List<Integer>> result, TreeNode root) {
//cc: root == null
if (root == null) return -1; //get depth
int depth = 1 + Math.max(depthHelper(result, root.left), depthHelper(result, root.right)); if (depth + 1 > result.size()) result.add(new ArrayList<Integer>()); //add root.val
result.get(depth).add(root.val); return depth;
}
}

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