codeforces-223A-Bracket Sequence

本文介绍了一种算法,用于从输入字符串中找到包含中括号数量最多的连续子串。通过预处理字符串并使用栈数据结构来跟踪括号匹配,该算法能够高效地解决此问题。

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从前往后进行括号匹配。

如果匹配到,就把当前位置,和被匹配的括号的位置标记为对应括号的位置。

然后一段连续的不带0的区域即时一个可用的子串。

然后从这些字串中寻找中括号最多的字串。

#include <stdio.h>
#include<string.h>
#include<iostream>
#include<algorithm>
#include<stdlib.h>
#include<math.h>
#include<stack>
#define LL long long
using namespace std;
int a[200000];
int num[200000];
int b[200000];
int vis[200000];
stack<int>sta;
stack<int>stb;
char str[200001];
int main()
{
    int i,n,k;
    while(~scanf("%s",str))
    {
        memset(num,0,sizeof(num));
        memset(b,0,sizeof(b));
        int len=strlen(str);
        for(i=0; i<len; i++)
        {
            if(str[i]=='(')a[i+1]=1;
            if(str[i]=='[')
            {
                a[i+1]=2;
                num[i+1]++;
            }
            if(str[i]==')')a[i+1]=3;
            if(str[i]==']')a[i+1]=4;
            num[i+1]+=num[i];
        }
        while(!sta.empty())sta.pop();
        while(!stb.empty())stb.pop();
        for(i=1; i<=len; i++)
        {
            if(a[i]<=2)
            {
                sta.push(a[i]);
                stb.push(i);
            }
            else
            {
                if(sta.empty())
                {
                    continue;
                }
                int xx,yy;
                xx=sta.top();
                sta.pop();
                yy=stb.top();
                stb.pop();
                if(xx%2==a[i]%2)
                {
                    b[i]=yy;
                    b[yy]=i;
                }
                else
                {
                    while(!sta.empty())sta.pop();
                    while(!stb.empty())stb.pop();
                }
            }
        }
       /* for(i=1;i<=len;i++)
        {
            cout<<b[i]<<" ";
        }
        cout<<endl;*/
        int maxx=0;
        int ma=0;
        int st=-1;
        int ed=-1;
        int ss=1;
        for(i=1;i<=len+1;i++)
        {
            if(b[i]==0)
            {
                if(maxx<ma)
                {
                    maxx=ma;
                    ed=i-1;
                    st=ss;

                }
                ss=i+1;
                ma=0;
            }
            else
            {
                if(a[i]==2)ma++;
            }
        }
        cout<<maxx<<endl;
        if(maxx>0)
        {
            for(i=st;i<=ed;i++)
            {
                printf("%c",str[i-1]);
            }
            cout<<endl;
        }
    }
    return 0;
}


### Codeforces Problem 976C Solution in Python For solving problem 976C on Codeforces using Python, efficiency becomes a critical factor due to strict time limits aimed at distinguishing between efficient and less efficient solutions[^1]. Given these constraints, it is advisable to focus on optimizing algorithms and choosing appropriate data structures. The provided code snippet offers insight into handling string manipulation problems efficiently by customizing comparison logic for sorting elements based on specific criteria[^2]. However, for addressing problem 976C specifically, which involves determining the winner ('A' or 'B') based on frequency counts within given inputs, one can adapt similar principles of optimization but tailored towards counting occurrences directly as shown below: ```python from collections import Counter def determine_winner(): for _ in range(int(input())): count_map = Counter(input().strip()) result = "A" if count_map['A'] > count_map['B'] else "B" print(result) determine_winner() ``` This approach leverages `Counter` from Python’s built-in `collections` module to quickly tally up instances of 'A' versus 'B'. By iterating over multiple test cases through a loop defined by user input, this method ensures that comparisons are made accurately while maintaining performance standards required under tight computational resources[^3]. To further enhance execution speed when working with Python, consider submitting codes via platforms like PyPy instead of traditional interpreters whenever possible since they offer better runtime efficiencies especially important during competitive programming contests where milliseconds matter significantly.
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