【LeetCode】690. Employee Importance 解题报告（Python）

做者： 负雪明烛
id： fuxuemingzhu
我的博客： http://fuxuemingzhu.cn/

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目录

• 题目描述
• 题目大意
• 解题方法
• 方法一：DFS
• 日期

题目地址：https://leetcode.com/problems/employee-importance/description/

题目描述

You are given a data structure of employee information, which includes the employee’s unique id, his importance value and his direct subordinates’ id.

For example, employee 1 is the leader of employee 2, and employee 2 is the leader of employee 3. They have importance value 15, 10 and 5, respectively. Then employee 1 has a data structure like [1, 15, [2]], and employee 2 has [2, 10, [3]], and employee 3 has [3, 5, []]. Note that although employee 3 is also a subordinate of employee 1, the relationship is not direct.

Now given the employee information of a company, and an employee id, you need to return the total importance value of this employee and all his subordinates.

Example 1:

Input: [[1, 5, [2, 3]], [2, 3, []], [3, 3, []]], 1
Output: 11
Explanation:
Employee 1 has importance value 5, and he has two direct subordinates: employee 2 and employee 3. They both have importance value 3. So the total importance value of employee 1 is 5 + 3 + 3 = 11.

Note:

1. One employee has at most one direct leader and may have several subordinates.
2. The maximum number of employees won’t exceed 2000.

题目大意

给的数据结构是[1, 5, [2, 3]]表示的是1号员工的重要性是5，有两个下属2和3。

输入一个员工的Id,求它本身和它全部的下属的重要性之和。

解题方法

方法一：DFS

题目意思是找出每一个节点与其子节点的全部重要性之和。

为了快速查询每一个节点的id与其对应，创建了map。

而后采用dfs遍历。当某个子节点再也不有子节点的时候会自动终止该分支的遍历。

我以为这个题应该背下来。

""" # Employee info class Employee(object): def __init__(self, id, importance, subordinates): # It's the unique id of each node. # unique id of this employee self.id = id # the importance value of this employee self.importance = importance # the id of direct subordinates self.subordinates = subordinates """
class Solution(object):
    def getImportance(self, employees, id):
        """ :type employees: Employee :type id: int :rtype: int """
        employee_dict = {employee.id : employee for employee in employees}
        def dfs(id):
            return employee_dict[id].importance + sum(dfs(id) for id in employee_dict[id].subordinates)
        return dfs(id)

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二刷，换了一个写法，没有新定义dfs，而是直接使用了题目给的函数。效率居然提升了很多。

""" # Employee info class Employee: def __init__(self, id, importance, subordinates): # It's the unique id of each node. # unique id of this employee self.id = id # the importance value of this employee self.importance = importance # the id of direct subordinates self.subordinates = subordinates """
class Solution:
    def getImportance(self, employees, id):
        """ :type employees: Employee :type id: int :rtype: int """
        emap = {employee.id : employee for employee in employees}
        res = emap[id].importance
        for sub in emap[id].subordinates:
            res += self.getImportance(employees, sub)
        return res

日期

2018 年 1 月 17 日 2018 年 11 月 10 日 —— 这么快就到双十一了？？