zoukankan      html  css  js  c++  java
  • HDU 1671 (字典树统计是否有前缀)

    题目链接:http://acm.hdu.edu.cn/showproblem.php?pid=1671


    Problem Description
    Given a list of phone numbers, determine if it is consistent in the sense that no number is the prefix of another. Let’s say the phone catalogue listed these numbers:
    1. Emergency 911
    2. Alice 97 625 999
    3. Bob 91 12 54 26
    In this case, it’s not possible to call Bob, because the central would direct your call to the emergency line as soon as you had dialled the first three digits of Bob’s phone number. So this list would not be consistent.
     

    Input
    The first line of input gives a single integer, 1 <= t <= 40, the number of test cases. Each test case starts with n, the number of phone numbers, on a separate line, 1 <= n <= 10000. Then follows n lines with one unique phone number on each line. A phone number is a sequence of at most ten digits.
     

    Output
    For each test case, output “YES” if the list is consistent, or “NO” otherwise.
     

    Sample Input
    2 3 911 97625999 91125426 5 113 12340 123440 12345 98346
     

    Sample Output
    NO YES
     

    Source

    题意:

    统计是否有同样的前缀!

    代码例如以下:

    #include <cstdio>
    #include <cstring>
    #include <malloc.h>
    #include <iostream>
    using namespace std;
    #define MAXN 10
    typedef struct Trie
    {
        int v;//依据须要变化
        Trie *next[MAXN];
        //next是表示每层有多少种类的数,假设仅仅是小写字母,则26就可以,
        //若改为大写和小写字母,则是52,若再加上数字,则是62了
    }Trie;
    Trie* root;
    
    void createTrie(char *str)
    {
        int len = strlen(str);
        Trie *p = root, *q;
        for(int i = 0; i < len; i++)
        {
            int id = str[i]-'0';
            if(p->next[id] == NULL)
            {
                q = (Trie *)malloc(sizeof(Trie));
                q->v = 1;//初始v==1
                for(int j = 0; j < MAXN; j++)
                    q->next[j] = NULL;
                p->next[id] = q;
                p = p->next[id];
            }
            else
            {
            //    p->next[id]->v++;
                p = p->next[id];
            }
        }
         p->v = -1;//若为结尾,则将v改成-1表示
    }
    
    int findTrie(char *str)
    {
        int len = strlen(str);
        Trie *p = root;
        for(int i = 0; i < len; i++)
        {
            int id = str[i]-'0';
            p = p->next[id];
            if(p == NULL) //若为空集,表示不存以此为前缀的串
                return 0;
            if(p->v == -1)   //字符集中已有串是此串的前缀
                return -1;
        }
        //return p->v;
        return -1;   //此串是字符集中某串的前缀
    }
    int dealTrie(Trie* T)
    {
        //动态字典树,有时会超内存,这是就要记得释放空间了
        if(T==NULL)
            return 0;
        for(int i = 0; i < MAXN; i++)
        {
            if(T->next[i]!=NULL)
                dealTrie(T->next[i]);
        }
        free(T);
        return 0;
    }
    int main()
    {
        int t, n;
        char str[15];
        scanf("%d",&t);
        while(t--)
        {
            int flag = 0;
            root = (Trie *)malloc(sizeof(Trie));
            for(int i = 0; i < MAXN; i++)
                root->next[i] = NULL;
            scanf("%d",&n);
            for(int i = 0; i < n; i++)
            {
                scanf("%s",str);
                if(findTrie(str) == -1)
                {
                    flag = 1;
                    continue;
                }
                createTrie(str);
            }
            if(flag)
                printf("NO
    ");
            else
                printf("YES
    ");
            dealTrie(root);
        }
        return 0;
    }
    


  • 相关阅读:
    Easy | LeetCode 108. 将有序数组转换为二叉搜索树
    Medium | LeetCode 105 | 剑指 Offer 07. 从前序与中序遍历序列构造二叉树
    Easy | LeetCode 543. 二叉树的直径
    Easy | LeetCode 235 | 剑指 Offer 68
    Easy | LeetCode 236 | 剑指 Offer 68
    Medium | LeetCode 114. 二叉树展开为链表 | 先序遍历 | 递归 | 迭代
    Medium | LeetCode 538,1038. 把二叉搜索树转换为累加树
    Medium | LeetCode 230. 二叉搜索树中第K小的元素
    Easy | 剑指 Offer 54. 二叉搜索树的第k大节点
    stl(5)vector容器
  • 原文地址:https://www.cnblogs.com/gcczhongduan/p/4371681.html
Copyright © 2011-2022 走看看