Files
CodeObject/storage/zeta/_static/1005.html
2026-04-27 09:44:16 +09:00

251 lines
31 KiB
HTML

<!DOCTYPE html>
<html lang="ko">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>BOJ 1005 - Offline</title>
<style>
:root {
--bg: #fafaf8;
--paper: #ffffff;
--ink: #1e1f24;
--muted: #6a6d75;
--line: #d8dce3;
--accent: #0d6e6e;
--code-bg: #f4f6fb;
}
* { box-sizing: border-box; }
body {
margin: 0;
background:
radial-gradient(circle at 15% 0%, #f0efe9 0%, transparent 42%),
radial-gradient(circle at 85% 20%, #e7f1f2 0%, transparent 38%),
var(--bg);
color: var(--ink);
font-family: "Noto Sans KR", "Pretendard", "Apple SD Gothic Neo", sans-serif;
line-height: 1.65;
}
main {
max-width: 980px;
margin: 0 auto;
padding: 24px 16px 56px;
}
.header {
background: var(--paper);
border: 1px solid var(--line);
border-radius: 14px;
padding: 18px 20px;
margin-bottom: 18px;
}
.header h1 { margin: 0 0 6px; font-size: 1.5rem; }
.header p { margin: 0; color: var(--muted); font-size: 0.95rem; }
.header a { color: var(--accent); text-decoration: none; }
.section {
background: var(--paper);
border: 1px solid var(--line);
border-radius: 14px;
padding: 16px 18px;
margin-bottom: 14px;
overflow-x: auto;
}
h2 {
margin: 0 0 10px;
font-size: 1.05rem;
color: var(--accent);
border-bottom: 1px solid var(--line);
padding-bottom: 8px;
}
pre, code {
font-family: "JetBrains Mono", "Fira Code", monospace;
background: var(--code-bg);
}
pre {
padding: 12px;
border-radius: 10px;
border: 1px solid #e7ebf2;
overflow: auto;
}
blockquote {
margin: 14px 0;
padding: 16px 16px 14px 22px;
border-left: 4px solid var(--accent);
border-radius: 10px;
background: linear-gradient(90deg, #eef8f8 0%, #f9fdfd 100%);
color: #24313a;
font-weight: 600;
position: relative;
}
blockquote::before {
content: "“";
position: absolute;
left: 8px;
top: 2px;
font-size: 1.35rem;
line-height: 1;
color: #0b5f5f;
opacity: 0.7;
}
blockquote > :first-child { margin-top: 0; }
blockquote > :last-child { margin-bottom: 0; }
q {
color: #114f50;
font-weight: 700;
background: #edf8f8;
border-radius: 6px;
padding: 0 4px;
}
.math-inline math {
font-size: 1em;
vertical-align: middle;
}
.math-block {
margin: 10px 0;
padding: 8px 10px;
overflow-x: auto;
background: #f8fbff;
border: 1px solid #e2ecf8;
border-radius: 8px;
}
.math-block math {
font-size: 1.04em;
display: block;
}
table { border-collapse: collapse; width: 100%; }
th, td { border: 1px solid var(--line); padding: 6px 8px; }
img { max-width: 100%; height: auto; }
</style>
</head>
<body>
<main>
<header class="header">
<h1>ACM Craft</h1>
</header>
<article class="section">
<h2>문제</h2>
<p>서기 2012년! 드디어 2년간 수많은 국민들을 기다리게&nbsp;한 게임 ACM Craft (Association of Construction Manager Craft)가 발매되었다.</p>
<p>이 게임은 지금까지 나온 게임들과는 다르게 ACM크래프트는 다이나믹한 게임 진행을 위해 건물을 짓는 순서가 정해져 있지 않다. 즉, 첫 번째 게임과 두 번째 게임이 건물을 짓는 순서가 다를 수도 있다. 매 게임시작 시 건물을 짓는 순서가 주어진다. 또한 모든 건물은 각각 건설을 시작하여 완성이 될 때까지 Delay가 존재한다.</p>
<p>&nbsp;</p>
<p style="text-align: center;"><img alt="" src="data:image/jpeg;base64,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" style="height:335px; width:635px" /></p>
<p>위의 예시를 보자.</p>
<p>이번 게임에서는 다음과 같이 건설 순서 규칙이 주어졌다.&nbsp;1번 건물의 건설이 완료된다면 2번과 3번의 건설을 시작할수 있다. (동시에 진행이 가능하다)&nbsp;그리고 4번 건물을 짓기 위해서는 2번과 3번 건물이 모두 건설 완료되어야지만 4번건물의 건설을 시작할수 있다.</p>
<p>따라서 4번건물의 건설을 완료하기 위해서는 우선 처음 1번 건물을 건설하는데 10초가 소요된다. 그리고 2번 건물과 3번 건물을 동시에 건설하기 시작하면 2번은 1초뒤에 건설이 완료되지만 아직 3번 건물이 완료되지 않았으므로 4번 건물을 건설할 수 없다. 3번 건물이 완성되고 나면 그때 4번 건물을 지을수 있으므로 4번 건물이 완성되기까지는 총 120초가 소요된다.</p>
<p>프로게이머 최백준은 애인과의 데이트 비용을 마련하기 위해 서강대학교배 ACM크래프트 대회에 참가했다! 최백준은 화려한 컨트롤 실력을 가지고 있기 때문에 모든 경기에서 특정 건물만 짓는다면 무조건 게임에서 이길 수 있다.&nbsp;그러나 매 게임마다 특정건물을 짓기 위한 순서가 달라지므로 최백준은 좌절하고 있었다.&nbsp;백준이를 위해 특정건물을 가장 빨리 지을 때까지 걸리는 최소시간을 알아내는 프로그램을 작성해주자.</p>
</article>
<article class="section">
<h2>입력</h2>
<p>첫째 줄에는 테스트케이스의 개수 T가 주어진다. 각 테스트 케이스는 다음과 같이 주어진다.&nbsp;첫째 줄에 건물의 개수 N과 건물간의 건설순서 규칙의 총 개수 K이 주어진다.&nbsp;(건물의 번호는 1번부터 N번까지 존재한다)&nbsp;</p>
<p>둘째 줄에는 각 건물당 건설에 걸리는 시간 D<sub>1</sub>, D<sub>2</sub>, ..., D<sub>N</sub>이 공백을 사이로 주어진다.&nbsp;셋째 줄부터 K+2줄까지 건설순서 X Y가 주어진다.&nbsp;(이는 건물 X를 지은 다음에 건물 Y를 짓는 것이 가능하다는 의미이다)&nbsp;</p>
<p>마지막 줄에는 백준이가 승리하기 위해 건설해야&nbsp;할 건물의 번호 W가 주어진다.</p>
</article>
<article class="section">
<h2>출력</h2>
<p>건물 W를 건설완료 하는데 드는 최소 시간을 출력한다.&nbsp;편의상 건물을 짓는 명령을 내리는 데는 시간이 소요되지 않는다고 가정한다.</p>
<p>건설순서는 모든 건물이 건설 가능하도록 주어진다.</p>
</article>
<article class="section">
<h2>제한</h2>
<ul>
<li>2&nbsp;&le; N &le; 1000</li>
<li>1 &le; K &le; 100,000</li>
<li>1 &le; X, Y, W &le; N</li>
<li>0 &le; D<sub>i</sub> &le; 100,000, D<sub>i</sub>는 정수</li>
</ul>
</article>
<article class="section">
<h2>예제 입력 1 복사</h2>
<pre class="sampledata" id="sample-input-1">2
4 4
10 1 100 10
1 2
1 3
2 4
3 4
4
8 8
10 20 1 5 8 7 1 43
1 2
1 3
2 4
2 5
3 6
5 7
6 7
7 8
7
</pre>
</article>
<article class="section">
<h2>예제 입력 2 복사</h2>
<pre class="sampledata" id="sample-input-2">5
3 2
1 2 3
3 2
2 1
1
4 3
5 5 5 5
1 2
1 3
2 3
4
5 10
100000 99999 99997 99994 99990
4 5
3 5
3 4
2 5
2 4
2 3
1 5
1 4
1 3
1 2
4
4 3
1 1 1 1
1 2
3 2
1 4
4
7 8
0 0 0 0 0 0 0
1 2
1 3
2 4
3 4
4 5
4 6
5 7
6 7
7
</pre>
</article>
<article class="section">
<h2>예제 출력 1 복사</h2>
<pre class="sampledata" id="sample-output-1">120
39
</pre>
</article>
<article class="section">
<h2>예제 출력 2 복사</h2>
<pre class="sampledata" id="sample-output-2">6
5
399990
2
0
</pre>
</article>
</main>
</body>
</html>