Codeforces --Social Distance(模拟)

本文探讨了在遵循特定规则下,给定一个由0和1组成的二进制字符串,如何计算能够插入最大数量的1而不违反规则的方法。文章详细解释了三种不同情况下的插入策略,并提供了一段AC代码实现。

在这里插入图片描述
在这里插入图片描述

思路:

我们可以分成三种情况
1.0~1或1~0的区间
  第一个0到第一个1之间的0可以放多少个1,考虑到第一个1之前的k位不能放1,那么这段区间(假设这段区间有dis个0)最多应该可以放(dis−k)/(k+1)(dis-k)/(k+1)(disk)/(k+1)个1
  反过来1~0的区间同理
2.1~1的区间
  每位1附近的k位都不能放1,每连续k个0可以放置一个1,那么还剩dis−kdis-kdisk位可以放1,也就是可以放(dis−k)/(k+1)(dis-k)/(k+1)(disk)/(k+1)个1
3.0~0的区间(全0的情况)
  假设全0的情况,我们可以通过把0~0的区间变成1~1的区间,左右补零实现。如下图:
[在这里插入图片描述
最后可以得到全0的情况下,可以放置n+kk+1\frac{n+k}{k+1}k+1n+k个1

AC代码:

#include<bits/stdc++.h>
using namespace std;
typedef long long ll;
const int maxn=2e5+10;
ll n,k,t,cnt1,b[maxn],ans;
char a[maxn];
int main(){
	cin>>t;
	while(t--){
		cin>>n>>k;
		for(int i=1;i<=n;i++) cin>>a[i];
		cnt1=0;
		for(int i=1;i<=n;i++){
			if(a[i]=='1') b[++cnt1]=i;
		}
		if(cnt1==0) cout<<(n+k)/(k+1)<<endl;
		else{
			ans=(b[1]-1)/(k+1)+(n-b[cnt1])/(k+1);
			for(int i=1;i<cnt1;i++){
				ans+=(b[i+1]-b[i]-1-k)/(k+1);
			}
			cout<<ans<<endl;
		}
	}
}
### 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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