A family hierarchy is usually presented by a pedigree tree where all the nodes on the same level belong to the same generation. Your task is to find the generation with the largest population.
Input Specification:
Each input file contains one test case. Each case starts with two positive integers N (<) which is the total number of family members in the tree (and hence assume that all the members are numbered from 01 to N), and M (<) which is the number of family members who have children. Then M lines follow, each contains the information of a family member in the following format:
ID K ID[1] ID[2] ... ID[K]
where ID is a two-digit number representing a family member, K (>) is the number of his/her children, followed by a sequence of two-digit ID's of his/her children. For the sake of simplicity, let us fix the root ID to be 01. All the numbers in a line are separated by a space.
Output Specification:
For each test case, print in one line the largest population number and the level of the corresponding generation. It is assumed that such a generation is unique, and the root level is defined to be 1.
Sample Input:
23 13
21 1 23
01 4 03 02 04 05
03 3 06 07 08
06 2 12 13
13 1 21
08 2 15 16
02 2 09 10
11 2 19 20
17 1 22
05 1 11
07 1 14
09 1 17
10 1 18
Sample Output:
9 4
题意:
给出一个家谱图,找出这个家谱图中,人数最多的一代,以及这一代是第几代。
思路:
用map将父代与子代之间进行映射,然后进行层次遍历。层次遍历的时候,可以增加哨兵,方便记录层数。
Code:
#include<iostream>
#include<vector>
#include<map>
#include<queue>
using namespace std;
int main() {
int n, m;
cin >> n >> m;
map<int, vector<int> > mp;
vector<int> son;
for (int i = 0; i < m; ++i) {
int f, cnt, s;
cin >> f >> cnt;
for (int j = 0; j < cnt; ++j) {
cin >> s;
son.push_back(s);
}
mp[f] = son;
son.clear();
}
int count = 1, level = 1;
int temp1 = 0, temp2 = 1;
queue<int> q;
q.push(1);
q.push(0);
while (q.size() > 1) {
int f = q.front();
q.pop();
if (f == 0) {
q.push(0);
temp2 += 1;
level = temp1 > count ? temp2 : level;
count = temp1 > count ? temp1 : count;
temp1 = 0;
}
if (mp.find(f) != mp.end()) {
son = mp.find(f)->second;
for (int i = 0; i < son.size(); ++i) {
q.push(son[i]);
}
temp1 += son.size();
}
}
cout << count << " " << level << endl;
return 0;
}
参考:
https://blog.csdn.net/xiaolonggezte/article/details/80004392