Immediate Decodability
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)Total Submission(s): 3590 Accepted Submission(s): 1865
Problem Description
An encoding of a set of symbols is said to be immediately decodable if no code for one symbol is the prefix of a code for another symbol. We will assume for this problem that all codes are in binary, that no two codes within a set of codes are the same, that each code has at least one bit and no more than ten bits, and that each set has at least two codes and no more than eight.
Examples: Assume an alphabet that has symbols {A, B, C, D}
The following code is immediately decodable:
A:01 B:10 C:0010 D:0000
but this one is not:
A:01 B:10 C:010 D:0000 (Note that A is a prefix of C)
Examples: Assume an alphabet that has symbols {A, B, C, D}
The following code is immediately decodable:
A:01 B:10 C:0010 D:0000
but this one is not:
A:01 B:10 C:010 D:0000 (Note that A is a prefix of C)
Input
Write a program that accepts as input a series of groups of records from input. Each record in a group contains a collection of zeroes and ones representing a binary code for a different symbol. Each group is followed by a single separator record containing a single 9; the separator records are not part of the group. Each group is independent of other groups; the codes in one group are not related to codes in any other group (that is, each group is to be processed independently).
Output
For each group, your program should determine whether the codes in that group are immediately decodable, and should print a single output line giving the group number and stating whether the group is, or is not, immediately decodable.
Sample Input
01 10 0010 0000 9 01 10 010 0000 9
Sample Output
Set 1 is immediately decodable Set 2 is not immediately decodable
Source
想法:
字典树模板
代码:
#include<stdio.h>
#include<string.h>
const int N=2;
struct Trie
{
int num;
Trie *nx[N];
};
Trie *root;
void init (Trie *t)
{
for (int j = 0; j < N; ++j) //初始化
{
t->nx[j] = NULL;
}
t->num = 0;
}
void Insert (char str[])//插入单词
{
Trie *p = root;
int len = strlen (str);
for (int i = 0; i < len; ++i)
{
int id = str[i] - '0';
if (p->nx[id] == NULL)
{
Trie *t = new Trie;
init(t);
p->nx[id] = t;
}
p = p->nx[id];
p->num++;
}
}
int Find(char str[])//查找前缀为str的单词数
{
Trie *p = root;
int cnt,len = strlen(str);
for (int i = 0;i < len;++i)
{
int id = str[i] - '0';
if (p->nx[id] == NULL) return 0;
p = p->nx[id];
cnt = p->num;
}
return cnt;
}
void Delete(Trie *t)
{
for (int i = 0;i < N;++i)
{
if (t->nx[i]!=NULL) Delete(t->nx[i]);
}
delete t;
}
int main()
{
int kas=0;
root = new Trie;
init(root);
int kk=1;
char s[50][50];
while(gets(s[++kas]))
{
if(s[kas][0]=='9')
{
int i,flag=1;
for(i=1;i<kas;i++)
{
if(Find(s[i])>=2)
{
flag=0;
break;
}
}
if(flag) printf("Set %d is immediately decodable\n",kk++);
else printf("Set %d is not immediately decodable\n",kk++);
kas=0;
root = new Trie;
init(root);
}
else
{
Insert(s[kas]);
}
}
}
#include<string.h>
const int N=2;
struct Trie
{
int num;
Trie *nx[N];
};
Trie *root;
void init (Trie *t)
{
for (int j = 0; j < N; ++j) //初始化
{
t->nx[j] = NULL;
}
t->num = 0;
}
void Insert (char str[])//插入单词
{
Trie *p = root;
int len = strlen (str);
for (int i = 0; i < len; ++i)
{
int id = str[i] - '0';
if (p->nx[id] == NULL)
{
Trie *t = new Trie;
init(t);
p->nx[id] = t;
}
p = p->nx[id];
p->num++;
}
}
int Find(char str[])//查找前缀为str的单词数
{
Trie *p = root;
int cnt,len = strlen(str);
for (int i = 0;i < len;++i)
{
int id = str[i] - '0';
if (p->nx[id] == NULL) return 0;
p = p->nx[id];
cnt = p->num;
}
return cnt;
}
void Delete(Trie *t)
{
for (int i = 0;i < N;++i)
{
if (t->nx[i]!=NULL) Delete(t->nx[i]);
}
delete t;
}
int main()
{
int kas=0;
root = new Trie;
init(root);
int kk=1;
char s[50][50];
while(gets(s[++kas]))
{
if(s[kas][0]=='9')
{
int i,flag=1;
for(i=1;i<kas;i++)
{
if(Find(s[i])>=2)
{
flag=0;
break;
}
}
if(flag) printf("Set %d is immediately decodable\n",kk++);
else printf("Set %d is not immediately decodable\n",kk++);
kas=0;
root = new Trie;
init(root);
}
else
{
Insert(s[kas]);
}
}
}

本文介绍了一种通过字典树实现的算法来判断一组二进制编码是否具备即时可解码性。即时可解码性是指任一编码都不是其他编码的前缀。文章提供了完整的C++代码实现,并通过样例输入输出展示了算法的有效性。
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