CodeForces 518C - Watto and Mechanism(模拟)

题意:有n(1 <= n <= 10^5)个应用,每屏有k(1 <= k <= 10^5)个应用,现在有m(1 <= m <= 10^5)个操作,每次操作会使用一个应用(使用时需滑到应用所在的屏),使用后此应用与前边的相邻应用交换位置,退出此应用后会回到初始屏。问这m次操作总的滚动屏幕次数。


模拟即可。


#include<cstdio>
#include<cstring>
#include<cctype>
#include<cstdlib>
#include<cmath>
#include<iostream>
#include<sstream>
#include<iterator>
#include<algorithm>
#include<string>
#include<vector>
#include<set>
#include<map>
#include<deque>
#include<queue>
#include<stack>
#include<list>
typedef long long ll;
typedef unsigned long long llu;
const int MAXN = 100 + 10;
const int MAXT = 100000 + 10;
const int INF = 0x7f7f7f7f;
const double pi = acos(-1.0);
const double EPS = 1e-6;
using namespace std;

int n, m, k, a[MAXT], loc[MAXT][2];
vector<int> g[MAXT];



int main(){
    memset(loc, -1, sizeof loc);
    scanf("%d%d%d", &n, &m, &k);
    for(int i = 0; i < n; ++i)  scanf("%d", a + i);
    int lur = 0;
    for(int i = 0; i < n; ++i){
        int j;
        for(j = 0; j < k && i + j < n; ++j){
            g[lur].push_back(a[i + j]);
            loc[a[i + j]][0] = lur;
            loc[a[i + j]][1] = j;
        }
        ++lur;
        i = i + j - 1;
    }
    llu ans = 0;
    while(m--){
        scanf("%d", &lur);
        ans += (llu)(loc[lur][0] + 1);
        if(loc[lur][1] == 0){
            if(loc[lur][0]){
                int ll = loc[lur][0];
                int tmp = g[ll - 1][k - 1];
                loc[lur][0] = ll - 1;
                loc[lur][1] = k - 1;
                loc[tmp][0] = ll;
                loc[tmp][1] = 0;
                swap(g[ll - 1][k - 1], g[ll][0]);
            }
        }
        else{
            int r1 = loc[lur][0];
            int r2 = loc[lur][1];
            int tmp = g[r1][r2 - 1];
            loc[lur][1] = r2 - 1;
            loc[tmp][1] = r2;
            swap(g[r1][r2 - 1], g[r1][r2]);
        }
    }
    printf("%I64u\n", ans);
    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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