In 1953, David A. Huffman published his paper "A Method for the Construction of Minimum-Redundancy Codes", and hence printed his name in the history of computer science. As a professor who gives the final exam problem on Huffman codes, I am encountering a big problem: the Huffman codes are NOT unique. For example, given a string "aaaxuaxz", we can observe that the frequencies of the characters 'a', 'x', 'u' and 'z' are 4, 2, 1 and 1, respectively. We may either encode the symbols as {'a'=0, 'x'=10, 'u'=110, 'z'=111}, or in another way as {'a'=1, 'x'=01, 'u'=001, 'z'=000}, both compress the string into 14 bits. Another set of code can be given as {'a'=0, 'x'=11, 'u'=100, 'z'=101}, but {'a'=0, 'x'=01, 'u'=011, 'z'=001} is NOT correct since "aaaxuaxz" and "aazuaxax" can both be decoded from the code 00001011001001. The students are submitting all kinds of codes, and I need a computer program to help me determine which ones are correct and which ones are not.

Input Specification:

Each input file contains one test case. For each case, the first line gives an integer N (2 <= N <= 63), then followed by a line that contains all the N distinct characters and their frequencies in the following format:

c[1] f[1] c[2] f[2] ... c[N] f[N]

where c[i] is a character chosen from {'0' - '9', 'a' - 'z', 'A' - 'Z', '_'}, and f[i] is the frequency of c[i] and is an integer no more than 1000. The next line gives a positive integer M (≤), then followed by M student submissions. Each student submission consists of N lines, each in the format:

c[i] code[i]

where c[i] is the i-th character and code[i] is an non-empty string of no more than 63 '0's and '1's.

Output Specification:

For each test case, print in each line either "Yes" if the student's submission is correct, or "No" if not.

Note: The optimal solution is not necessarily generated by Huffman algorithm. Any prefix code with code length being optimal is considered correct.

Sample Input:

7
A 1 B 1 C 1 D 3 E 3 F 6 G 6
4
A 00000
B 00001
C 0001
D 001
E 01
F 10
G 11
A 01010
B 01011
C 0100
D 011
E 10
F 11
G 00
A 000
B 001
C 010
D 011
E 100
F 101
G 110
A 00000
B 00001
C 0001
D 001
E 00
F 10
G 11

Sample Output:

Yes
Yes
No
No
#include<iostream>
#include<cstring>
using namespace std;
const int maxn = ; typedef struct TreeNode* Tree;
struct TreeNode
{
Tree left,right;
int weight;
}; typedef struct HeapNode* Heap;
struct HeapNode
{
TreeNode Data[maxn];
int size;
}; int n,m;
int w[maxn];
char ch[maxn];
int codelen;
int cnt2,cnt0; Tree creatTree();
Heap creatHeap();
void Insert(Heap H, TreeNode T);
Tree Huffman(Heap H);
Tree Delete(Heap H);
int WPL(Tree T, int depth);
bool Judge();
void JudgeTree(Tree T); int main()
{
cin >> n;
Tree T = creatTree();
Heap H = creatHeap(); for (int i = ; i < n; i++)
{
getchar();
cin >> ch[i] >> w[i];
H->Data[H->size].left = H->Data[H->size].right = NULL;
T->weight = w[i];
Insert(H,*T);
} T = Huffman(H);
codelen = WPL(T,);
//printf("%d\n",codelen); cin >> m;
while (m--)
{
if (Judge())
{
printf("Yes\n");
}
else
{
printf("No\n");
}
} return ;
} Tree creatTree()
{
Tree T = new TreeNode;
T->left = T->right = NULL;
T->weight = ;
return T;
} Heap creatHeap()
{
Heap H = new HeapNode;
H->Data[].weight = -;
H->size = ;
return H;
} void Insert(Heap H, TreeNode T)
{
int i = ++H->size;
for (; H->Data[i/].weight > T.weight; i /= )
{
H->Data[i] = H->Data[i/];
}
H->Data[i] = T;
} Tree Huffman(Heap H)
{
Tree T = creatTree();
while (H->size > )
{
T->left = Delete(H);
T->right = Delete(H);
T->weight = T->left->weight + T->right->weight;
Insert(H,*T);
}
T = Delete(H);
return T;
} Tree Delete(Heap H)
{
int parent,child;
TreeNode Tmp = H->Data[H->size--];
Tree T = creatTree();
*T = H->Data[];
for (parent = ; *parent <= H->size; parent = child)
{
child = *parent;
if (child < H->size &&
H->Data[child+].weight < H->Data[child].weight)
{
child++;
} if (H->Data[child].weight > Tmp.weight)
{
break;
}
H->Data[parent] = H->Data[child];
}
H->Data[parent] = Tmp;
return T;
} int WPL(Tree T, int depth)
{
if (!T->left && !T->right)
{
return depth * (T->weight);
}
else
{
return WPL(T->left,depth+) + WPL(T->right,depth+);
}
} bool Judge()
{
char s1[maxn],s2[maxn];
bool flag = true;
Tree T = creatTree();
Tree pt = NULL;
int wgh; for (int i = ; i < n; i++)
{
cin >> s1 >> s2; if (strlen(s2) > n)
{
return ;
} int j;
for (j = ; ch[j] != s1[]; j++)
{
;
}
wgh = w[j];
pt = T;
for (j = ; s2[j]; j++)
{
if (s2[j] == '')
{
if (!pt->left)
{
pt->left = creatTree();
}
pt = pt->left;
}
if (s2[j] == '')
{
if (!pt->right)
{
pt->right = creatTree();
}
pt = pt->right;
} if (pt->weight)
{
flag = false;
}
if (!s2[j+])
{
if (pt->left || pt->right)
{
flag = false;
}
else
{
pt->weight = wgh;
}
}
}
} if (!flag)
{
return ;
}
cnt0 = cnt2 = ;
JudgeTree(T); if (cnt2 != cnt0-)
{
return ;
}
if (codelen == WPL(T,))
{
return ;
}
else
{
return ;
}
} void JudgeTree(Tree T)
{
if (T)
{
if (!T->left && !T->right)
{
cnt0++;
}
else if(T->left && T->right)
{
cnt2++;
}
else
{
cnt0 = ;
} JudgeTree(T->left);
JudgeTree(T->right);
}
}
 

05-树9 Huffman Codes (30 分)的更多相关文章

  1. pta5-9 Huffman Codes (30分)

    5-9 Huffman Codes   (30分) In 1953, David A. Huffman published his paper "A Method for the Const ...

  2. PTA 05-树9 Huffman Codes (30分)

    题目地址 https://pta.patest.cn/pta/test/16/exam/4/question/671 5-9 Huffman Codes   (30分) In 1953, David ...

  3. pat树之专题(30分)

    (好好复习是王道) 1115. Counting Nodes in a BST (30) 分析:简单题——将bst树构造出来,然后给每个节点打上高度.最后求出树的高度.然后count树高的节点数加上树 ...

  4. 05-树9 Huffman Codes (30 分)

    In 1953, David A. Huffman published his paper "A Method for the Construction of Minimum-Redunda ...

  5. 05-树9 Huffman Codes (30 分)

    In 1953, David A. Huffman published his paper "A Method for the Construction of Minimum-Redunda ...

  6. 05-树9 Huffman Codes(30 分)

    In 1953, David A. Huffman published his paper "A Method for the Construction of Minimum-Redunda ...

  7. PAT 甲级1057 Stack (30 分)(不会,树状数组+二分)*****

    1057 Stack (30 分)   Stack is one of the most fundamental data structures, which is based on the prin ...

  8. Huffman codes

    05-树9 Huffman Codes(30 分) In 1953, David A. Huffman published his paper "A Method for the Const ...

  9. PAT 甲级 1053 Path of Equal Weight (30 分)(dfs,vector内元素排序,有一小坑点)

    1053 Path of Equal Weight (30 分)   Given a non-empty tree with root R, and with weight W​i​​ assigne ...

随机推荐

  1. HashMap源码原理

    HashMap源码解析(负载因子,树化策略,内部hash实现,resize策略) 内部属性: 负载因子: final float loadFactor(默认为0.75f) 实际容量: int thre ...

  2. scratch学习研究心得_逐步更新

    2019-10-30: Scratch对对象a克隆,不能选择克隆自己,这样可能下次一下子同时产生两个克隆体,要设置克隆a scratch3.0采用全新html5技术,图片和其他对象放大缩小,效果几乎不 ...

  3. 查看mysql字符集、修改数据库、数据表、字段字符集

    查看所有表的字符集 SELECT table_name, table_type, engine, version, table_collation FROM information_schema.ta ...

  4. JavaWeb第一天--HTML

    HTML HTML简介 HTML(Hyper TextMarkupLanguage) 超文本标记语言. 超文本: 超越了文本仅仅展示信息的功能范畴,泛指:图片.有样式的文字.超链接. 标记: 标签. ...

  5. 英语orientaljasper鸡血石orientaljasper单词

    鸡血石(orientaljasper),是辰砂条带的地开石,因鲜红色似鸡血的辰砂(朱砂)而得名.鸡血石含有辰砂(朱砂).石英.玉髓35%-45%.磁铁矿.赤铁矿6%-12%.辰砂约5%-8%. 鸡血石 ...

  6. SpringBoot2.x配置Cors跨域

    1 跨域的理解 跨域是指:浏览器A从服务器B获取的静态资源,包括Html.Css.Js,然后在Js中通过Ajax访问C服务器的静态资源或请求.即:浏览器A从B服务器拿的资源,资源中想访问服务器C的资源 ...

  7. C#的静态类

    静态类 静态类与非静态类的重要区别在于静态类不能实例化,也就是说,不能使用 new 关键字创建静态类类型的变量.在声明一个类时使用static关键字,具有两个方面的意义:首先,它防止程序员写代码来实例 ...

  8. Linux(CentOS7)下安装Mysql8数据库

    一.Linux版本 二.先下载Linux下的Mysql包,打开Mysql官网 https://www.mysql.com/ 点击DOWNLOAD,进入 https://www.mysql.com/do ...

  9. error C4996: 'AVStream::codec': was declared deprecated

    关闭VS的SDL检查 工程 属性=>C/C++ =>General=> SDL checks 改为 No(/sdl).

  10. 【Swagger2】解决swagger文档地址请求404的问题

    一.出现的问题背景 某个项目,本地启动后,访问swagger文档地址可以访问到, http://localhost:8203/doc.html.但是部署到开发环境就访问不到,报404资源找不到的问题 ...