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CodeObject/storage/zeta/_static/18110.html
2026-04-27 09:44:16 +09:00

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<!DOCTYPE html>
<html lang="ko">
<head>
<meta charset="UTF-8" />
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<title>BOJ 18110 - Offline</title>
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<body>
<main>
<header class="header">
<h1>solved.ac</h1>
</header>
<article class="section">
<h2>문제</h2>
<p><a href="http://solved.ac">solved.ac</a>는 Sogang ICPC Team 학회원들의 알고리즘 공부에 도움을 주고자 만든 서비스이다. 지금은 서강대뿐만 아니라 수많은 사람들이 solved.ac의 도움을 받아 알고리즘 공부를 하고 있다.</p>
<p style="text-align: center;"><img alt="" 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" style="width: 319px; height: 64px;" /></p>
<p>ICPC Team은 백준 온라인 저지에서 문제풀이를 연습하는데, 백준 온라인 저지의 문제들에는 난이도 표기가 없어서, 지금까지는 다양한 문제를 풀어 보고 싶더라도 난이도를 가늠하기 어려워 무슨 문제를 풀어야 할지 판단하기 곤란했기 때문에 solved.ac가 만들어졌다. solved.ac가 생긴 이후 전국에서 200명 이상의 기여자 분들께서 소중한 난이도 의견을 공유해 주셨고, 지금은 약 7,000문제에 난이도 표기가 붙게 되었다.</p>
<p>어떤 문제의 난이도는 그 문제를 푼 사람들이 제출한 <strong>난이도 의견</strong>을 바탕으로 결정한다. 난이도 의견은 그 사용자가 생각한 난이도를 의미하는 정수 하나로 주어진다. solved.ac가 사용자들의 의견을 바탕으로 난이도를 결정하는 방식은 다음과 같다.</p>
<ul>
<li>아직 아무 의견이 없다면 문제의 난이도는 0으로 결정한다.</li>
<li>의견이 하나 이상 있다면, 문제의 난이도는 모든 사람의 난이도 의견의 30% 절사평균으로 결정한다.</li>
</ul>
<p>절사평균이란 극단적인 값들이 평균을 왜곡하는 것을 막기 위해 가장 큰 값들과 가장 작은 값들을 제외하고 평균을 내는 것을 말한다. 30% 절사평균의 경우 위에서 15%, 아래에서 15%를 각각 제외하고 평균을 계산한다. 따라서 20명이 투표했다면, 가장 높은 난이도에 투표한 3명과 가장 낮은 난이도에 투표한 3명의 투표는 평균 계산에 반영하지 않는다는 것이다.</p>
<p>제외되는 사람의 수는 위, 아래에서 각각 반올림한다. 25명이 투표한 경우 위, 아래에서 각각 3.75명을 제외해야 하는데, 이 경우 반올림해 4명씩을 제외한다.</p>
<p>마지막으로, 계산된 평균도 정수로 반올림된다. 절사평균이 16.7이었다면 최종 난이도는 17이 된다.</p>
<p>사용자들이 어떤 문제에 제출한 난이도 의견 목록이 주어질 때, solved.ac가 결정한 문제의 난이도를 계산하는 프로그램을 작성하시오.</p>
</article>
<article class="section">
<h2>입력</h2>
<p>첫 번째 줄에 난이도 의견의 개수 <em>n</em>이 주어진다. (0&nbsp;&le;&nbsp;<em>n</em>&nbsp;&le; 3 &times; 10<sup>5</sup>)</p>
<p>이후 두 번째 줄부터 1 + <em>n</em>번째 줄까지 사용자들이 제출한 난이도 의견 <em>n</em>개가 한 줄에 하나씩 주어진다. 모든 난이도 의견은 1 이상 30 이하이다.</p>
</article>
<article class="section">
<h2>출력</h2>
<p>solved.ac가 계산한 문제의 난이도를 출력한다.</p>
</article>
<article class="section">
<h2>예제 입력 1 복사</h2>
<pre class="sampledata" id="sample-input-1">5
1
5
5
7
8
</pre>
</article>
<article class="section">
<h2>예제 입력 2 복사</h2>
<pre class="sampledata" id="sample-input-2">10
1
13
12
15
3
16
13
12
14
15
</pre>
</article>
<article class="section">
<h2>예제 출력 1 복사</h2>
<pre class="sampledata" id="sample-output-1">6
</pre>
</article>
<article class="section">
<h2>예제 출력 2 복사</h2>
<pre class="sampledata" id="sample-output-2">13
</pre>
</article>
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