题面

题解

神仙构造题。

分五种情况考虑:

  • 如果存在一个环,那么令环上的点权值为\(1\),其余点权值为\(0\)。
  • 如果存在一个度数大于\(3\)的点,令这个点的权值为\(2\),和它相邻的点权值为\(1\),否则权值为\(0\)。
  • 如果存在两个度数等于\(3\)的点,令这两个点的路径上点的权值为\(2\),其余的点权值为\(1\)。
  • 如果只有一个点度数为\(3\),那么这张图一定是这个点伸出三条链,设三条链的长度分别为\(l_1, l_2, l_3\),那么有解当且仅当\(\frac 1{l_1 + 1} + \frac 1{l_2 + 1} + \frac 1{l_3 + 1} \leq 1\)。
  • 如果没有点度数为\(3\),可以证明一定无解。

于是就可以按照结论欢乐构造了。

代码

#include <cstdio>
#include <cstring>
#include <algorithm>
#include <vector>
#define file(x) freopen(#x".in", "r", stdin), freopen(#x".out", "w", stdout) inline int read()
{
int data = 0, w = 1; char ch = getchar();
while (ch != '-' && (ch < '0' || ch > '9')) ch = getchar();
if (ch == '-') w = -1, ch = getchar();
while (ch >= '0' && ch <= '9') data = data * 10 + (ch ^ 48), ch = getchar();
return data * w;
} const int maxn(1e5 + 10);
struct edge { int next, to; } e[maxn << 1];
int head[maxn], e_num, n, m, vis[maxn], d[maxn], deg[maxn];
std::vector<int> vec[3];
inline void add_edge(int from, int to)
{
e[++e_num] = (edge) {head[from], to};
head[from] = e_num, ++deg[to];
} void Set(int x)
{
vis[x] = 0; if (!d[x]) d[x] = 1;
for (int i = head[x]; i; i = e[i].next)
if (vis[e[i].to]) Set(e[i].to);
} int findCir(int x, int f)
{
vis[x] = 1;
for (int i = head[x]; i; i = e[i].next)
if (!vis[e[i].to]) { if (findCir(e[i].to, x)) return 1; }
else if (e[i].to != f) return 1;
return 0;
} int findDeg(int x, int f)
{
if (f && deg[x] == 3) return d[x] = 2, 1;
for (int i = head[x]; i; i = e[i].next)
if (e[i].to != f) if (findDeg(e[i].to, x)) { d[x] = 2; return 1; }
return 0;
} void dfs(int x, int f, std::vector<int> &v)
{
v.push_back(x);
for (int i = head[x]; i; i = e[i].next)
if (e[i].to != f) dfs(e[i].to, x, v);
} int main()
{
for (int T = read(); T--; )
{
n = read(), m = read();
memset(head, 0, (n + 1) << 2), memset(vis, 0, (n + 1) << 2);
memset(d, 0, (n + 1) << 2), memset(deg, 0, (n + 1) << 2), e_num = 0;
for (int i = 1, a, b; i <= m; i++)
a = read(), b = read(), add_edge(a, b), add_edge(b, a);
int f = 0;
for (int i = 1; !f && i <= n; i++)
if (!vis[i]) if ((f = findCir(i, 0))) Set(i);
for (int i = 1; !f && i <= n; i++)
if (deg[i] > 3) { d[i] = 2, Set(i), f = 1; }
for (int i = 1; !f && i <= n; i++)
if (deg[i] == 3) if ((f = findDeg(i, 0)))
memset(vis, 1, sizeof vis), Set(i);
for (int i = 1; !f && i <= n; i++) if (deg[i] == 3)
{
int cur = 0; vec[0].clear(), vec[1].clear(), vec[2].clear();
for (int j = head[i]; j; j = e[j].next) dfs(e[j].to, i, vec[cur++]);
if (vec[0].size() > vec[1].size()) std::swap(vec[0], vec[1]);
if (vec[0].size() > vec[2].size()) std::swap(vec[0], vec[2]);
if (vec[1].size() > vec[2].size()) std::swap(vec[1], vec[2]);
if (vec[1].size() == 1 || (vec[0].size() == 1 && vec[1].size() == 2
&& vec[2].size() < 5)) continue;
f = 1;
if (vec[2].size() >= 5)
{
d[i] = 6, d[vec[0][0]] = 3, d[vec[1][0]] = 4, d[vec[1][1]] = 2;
for (int j = 0; j < 5; j++) d[vec[2][j]] = 5 - j;
}
else
{
d[i] = (vec[0].size() + 1) * (vec[1].size() + 1) * (vec[2].size() + 1);
for (int j = 0; j < 3; j++) for (int k = 0; k < (int) vec[j].size(); k++)
d[vec[j][k]] = d[i] / (vec[j].size() + 1) * (vec[j].size() - k);
}
}
if (!f) { puts("NO"); continue; } puts("YES");
for (int i = 1; i <= n; i++) printf("%d%c", d[i], " \n"[i == n]);
}
return 0;
}

CF830E Perpetual Motion Machine的更多相关文章

  1. Thinking Clearly about Performance

    http://queue.acm.org/detail.cfm?id=1854041 The July/August issue of acmqueue is out now acmqueue is ...

  2. unity5之代码创建状态机,玩的666

    http://blog.csdn.net/litaog00/article/details/50483189 最近做项目的时候用到了状态机,网上搜了一下帖子,大部分都是简单介绍使用方法的,讲解的详细的 ...

  3. Machine and Deep Learning with Python

    Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstiti ...

  4. Motion control encoder extrapolation

    Flying Saw debug Part1 Encoder extrapolation Machine introduction A tube cutting saw, is working for ...

  5. booklist for machine learning

    Recommended Books Here is a list of books which I have read and feel it is worth recommending to fri ...

  6. [C5] Andrew Ng - Structuring Machine Learning Projects

    About this Course You will learn how to build a successful machine learning project. If you aspire t ...

  7. Pattern Recognition and Machine Learning-02-1.0-Introduction

    Introduction The problem of searching for patterns in data is a fundamental one and has a long and s ...

  8. New Machine Learning Server for Deep Learning in Nuke(翻译)

    最近一直在开发Orchestra Pipeline System,歇两天翻译点文章换换气.这篇文章是无意间看到的,自己从2015年就开始关注机器学习在视效领域的应用了,也曾利用碎片时间做过一些算法移植 ...

  9. 【Machine Learning】KNN算法虹膜图片识别

    K-近邻算法虹膜图片识别实战 作者:白宁超 2017年1月3日18:26:33 摘要:随着机器学习和深度学习的热潮,各种图书层出不穷.然而多数是基础理论知识介绍,缺乏实现的深入理解.本系列文章是作者结 ...

随机推荐

  1. python中字符串的常用(部分)处理方法

    myStr = "hello world itcast and hahaitcastcpp" 方法的查询方法: help(myStr.replace) myStr.find(&qu ...

  2. tf.reduce_mean函数用法及有趣区别

    sess=tf.Session() a=np.array([1,2,3,5.]) # 此代码保留为浮点数 a1=np.array([1,2,3,5]) # 此代码保留为整数 c=tf.reduce_m ...

  3. centos7#yum install ffmpeg

    yum install ffmpeg rpm --import http://li.nux.ro/download/nux/RPM-GPG-KEY-nux.ro rpm -Uvh http://li. ...

  4. 原生js 定义分页控件,类似于百度搜索

    实现一个类似于百度搜索结果的分页样式,样式可以自定义,接近于原生,少部分Jquery . 1.实现效果截图(默认无任何样式)  2.主要程序代码 define(function (require, e ...

  5. js运算符及数据类型转换(二)

    1.一元运算符+.-[将其它类型转化为number类型,相当于调用了Number()函数]var num = +('hello')  NaN  typeof num->numbernum = + ...

  6. UAVCAN DSDL介绍

    原文:http://uavcan.org/Specification/3._Data_structure_description_language/ DSDL:Data structure descr ...

  7. Mac 指令

    Mac 展示隐藏目录 // 设置隐藏文件不可见 defaults write com.apple.finder AppleShowAllFiles FALSE // 设置隐藏文件可见 defaults ...

  8. wokerman随笔

    linux环境检查是否满足workerman要求: curl -Ss http://www.workerman.net/check.php | php workerman依赖扩展:pcntl扩展.po ...

  9. 深入理解JVM-hotspot虚拟机对象探秘

    1.背景与大纲 在我们了解了java虚拟机的运行时数据区后,我们大概知道了虚拟机内存的概况,但是我们还是不清楚具体怎么存放的访问的: 接下来,我们将深入探讨HotSport虚拟机在java堆中对象的分 ...

  10. Flask入门到放弃(四)—— 数据库

    转载请在文章开头附上原文链接地址:https://www.cnblogs.com/Sunzz/p/10979970.html 数据库操作 ORM ORM 全拼Object-Relation Mappi ...