https://leetcode-cn.com/problems/list-of-depth-lcci/
/*
* @Author: Goog Tech
* @Date: 2020-09-17 12:30:07
* @LastEditTime: 2020-09-17 12:32:43
* @Description: https://leetcode-cn.com/problems/list-of-depth-lcci/
* @FilePath: \leetcode-googtech\面试题04\#03. 特定深度节点链表\Solution.java
* @WebSite: https://algorithm.show/
*/
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int x) { val = x; }
* }
*/
class Solution {
// BFS : 广度优先搜索,即层次遍历
public ListNode[] listOfDepth(TreeNode tree) {
// 判断头节点是否为空
if(tree == null) return new ListNode[0];
// 初始化辅助队列,并将根节点入队
Queue<TreeNode> queue = new LinkedList<>();
queue.add(tree);
// 初始化链表集合
List<ListNode> list = new ArrayList<>();
// 初始化链表虚拟头节点
ListNode dummyHead = new ListNode(-1);
while(!queue.isEmpty()) {
// 初始化链表虚拟头节点的指针
ListNode prev = dummyHead;
// 获取当前队列中的节点数,即二叉树当前深度所有的节点数
int size = queue.size();
// 遍历队列中的节点
for(int i = 0; i < size; i++) {
// 获取队首节点
TreeNode node = queue.poll(); // or tree = queue.poll();
// 将链表虚拟头节点的指针指向当前出队节点,即将其作为下一个节点
prev.next = new ListNode(node.val);
prev = prev.next;
// 若当前出队节点的左右孩子不为空,则将其入队,进而对下个深度的节点进行遍历
if(node.left != null) queue.offer(node.left);
if(node.right != null) queue.offer(node.right);
}
// 将二叉树当前深度的节点所构成的链表添加到临时列表中
list.add(dummyHead.next);
}
// 将临时列表中的元素存储到结果数组中,然后返回其结果
ListNode[] result = new ListNode[list.size()];
for(int i = 0; i < list.size(); i++) result[i] = list.get(i);
return result;
}
}
'''
Author: Goog Tech
Date: 2020-09-17 12:30:16
LastEditTime: 2020-09-17 12:31:02
Description: https://leetcode-cn.com/problems/list-of-depth-lcci/
FilePath: \leetcode-googtech\面试题04\#03. 特定深度节点链表\Solution.py
WebSite: https://algorithm.show/
'''
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution(object):
# BFS : 广度优先搜索,即层次遍历
def listOfDepth(self, tree):
"""
:type tree: TreeNode
:rtype: List[ListNode]
"""
# 判断头节点是否为空
if not tree: return []
# 初始化模拟队列及结果列表
queue, result = [tree], []
# 判断队列是否为空
while queue:
# 初始化链表虚拟头节点及其指针
dummyHead = ListNode(None)
prev = dummyHead
# 遍历辅助队列,其存储着二叉树当前深度的所有节点
for i in range(len(queue)):
# 获取队首节点
node = queue.pop(0)
# 将链表虚拟头节点的指针指向当前出队节点,即将其作为下一个节点
prev.next = ListNode(node.val)
prev = prev.next
# 若当前出队节点的左右孩子不为空,则将其入队,进而对下个深度的节点进行遍历
if node.left: queue.append(node.left)
if node.right: queue.append(node.right)
# 将二叉树当前深度的节点所构成的链表添加到结果列表中
result.append(dummyHead.next)
# 返回结果列表
return result