05-树9 Huffman Codes
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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 NN (2\le N\le 632≤N≤63), then followed by a line that contains all the NN 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 MM (\le 1000≤1000), then followed by MM student submissions. Each student submission consists of NN 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
题目大意:判断给出的哈夫曼编码是否正确
思路:不用重新构建哈夫曼编码,因为可能有数种情况,只要比较其花费是否最小,编码是否出现前序重复就可以了。
#include<iostream>#include<functional>#include <string> #include <algorithm> #include <queue> using namespace std;typedef struct{ char alpha; int frequency;}inputdata;typedef struct{ char alpha; string code;}check;int getfrequency(char alpha,inputdata* data,int num){ for (int i = 0; i < num; i++) { if (data[i].alpha == alpha) return data[i].frequency; } return 0;}bool cmp(check ch1, check ch2){ return ch1.code.size() < ch2.code.size();}bool isoverlap(check* ch,int num){ sort(ch, ch + num, cmp); for (int i = 0; i < num; i++) { string tmp = (ch + i)->code; for (int j = i + 1; j < num; j++) { if ((ch + j)->code.substr(0, tmp.size()) == tmp) return true; } } return false;}int main(){ int num; cin >> num; int leastcost = 0; inputdata* input = new inputdata[num]; priority_queue<int, vector<int>, greater<int>> q; for (int i = 0; i < num; i++) { cin >> (input + i)->alpha; cin >> (input + i)->frequency; q.push((input + i)->frequency); } int sum; while (!q.empty()) { sum = 0; sum += q.top(); q.pop(); if (!q.empty()) { sum += q.top(); q.pop(); q.push(sum); } leastcost += sum; } int N; cin >> N; int cost; int* flag = new int[N]; check* temp = new check[num]; for (int i = 0; i < N; i++) { cost = 0; for (int j = 0; j < num; j++) { cin >> (temp + j)->alpha; cin >> (temp + j)->code; } for (int j = 0; j < num; j++) { cost += (temp[j].code.size()+1)*getfrequency(temp[j].alpha, input, num); } if (cost>leastcost) { //flag[i] = 0; printf("No\n"); } else { if (isoverlap(temp, num)) //flag[i] = 0; printf("No\n"); else //flag[i] = 1; printf("Yes\n"); } } delete[]flag; delete[]input; delete[]temp; return 0;}
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