Codeforces-460A

Codeforces 460A 解题报告
本文介绍了一个简单的编程问题解决方案:计算Vasya可以连续穿多少天袜子,考虑到每m天会购买额外的一双。通过迭代和条件判断实现,适合初学者练习。

题目意思vasya开始有n双袜子,每天他都穿一双,当天晚上扔掉,每在m的倍数天的时候 vasya的妈妈就帮vasya再买一双袜子,求vasya能穿多少天的袜子,水题

题目链接:http://codeforces.com/problemset/problem/460/A

代码:

#include<iostream>
#include<cstdio>
#include<cstring>
#include<algorithm>
using namespace std;
#define MM(x,y) memset(x,y,sizeof(x))
#define MIN(x,y) x<y?x:y
#define MAX(x,y) x>y?x:y
int main()
{
	int n,sum,pos,mi,m;
	while(~scanf("%d%d",&n,&m))
	{
		mi=0;
		sum=0;
		pos=n;
		while(pos--)
		{
			mi++;
			sum++;
			if(mi%m==0)
			  pos++;
		}
		cout<<sum<<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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