Files
CodeObject/storage/zeta/_static/2630.html
2026-04-27 09:44:16 +09:00

169 lines
34 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 2630 - 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>색종이 만들기</h1>
</header>
<article class="section">
<h2>문제</h2>
<p>아래 &lt;그림 1&gt;과 같이 여러개의 정사각형칸들로 이루어진 정사각형 모양의 종이가 주어져 있고, 각 정사각형들은 하얀색으로 칠해져 있거나 파란색으로 칠해져 있다. 주어진 종이를 일정한 규칙에 따라 잘라서 다양한 크기를 가진 정사각형 모양의 하얀색 또는 파란색 색종이를 만들려고 한다.</p>
<p style="text-align: center;"><img alt="" src="data:image/png;base64,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" style="height:221px; width:215px" /></p>
<p>전체 종이의 크기가 N&times;N(N=2<sup>k</sup>, k는 1 이상 7 이하의 자연수) 이라면 종이를 자르는 규칙은 다음과 같다.</p>
<p>전체 종이가 모두 같은 색으로 칠해져 있지 않으면 가로와 세로로 중간 부분을 잘라서 &lt;그림 2&gt;의 I, II, III, IV와 같이 똑같은 크기의 네 개의 N/2 &times; N/2색종이로 나눈다. 나누어진 종이 I, II, III, IV 각각에 대해서도 앞에서와 마찬가지로 모두 같은 색으로 칠해져 있지 않으면 같은 방법으로 똑같은 크기의 네 개의 색종이로 나눈다. 이와 같은 과정을 잘라진 종이가 모두 하얀색 또는 모두 파란색으로 칠해져 있거나, 하나의 정사각형 칸이 되어 더 이상 자를 수 없을 때까지 반복한다.</p>
<p>위와 같은 규칙에 따라 잘랐을 때 &lt;그림 3&gt;&lt;그림 1&gt;의 종이를 처음 나눈 후의 상태를, &lt;그림 4&gt;는 두 번째 나눈 후의 상태를, &lt;그림 5&gt;는 최종적으로 만들어진 다양한 크기의 9장의 하얀색 색종이와 7장의 파란색 색종이를 보여주고 있다.</p>
<p style="text-align: center;"><img alt="" src="data:image/png;base64,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" style="height:488px; width:487px" /></p>
<p>입력으로 주어진 종이의 한 변의 길이 N과 각 정사각형칸의 색(하얀색 또는 파란색)이 주어질 때 잘라진 하얀색 색종이와 파란색 색종이의 개수를 구하는 프로그램을 작성하시오.</p>
</article>
<article class="section">
<h2>입력</h2>
<p>첫째 줄에는 전체 종이의 한 변의 길이 N이 주어져 있다. N은 2, 4, 8, 16, 32, 64, 128 중 하나이다. 색종이의 각 가로줄의 정사각형칸들의 색이 윗줄부터 차례로 둘째 줄부터 마지막 줄까지 주어진다. 하얀색으로 칠해진 칸은 0, 파란색으로 칠해진 칸은 1로 주어지며, 각 숫자 사이에는 빈칸이 하나씩 있다.</p>
</article>
<article class="section">
<h2>출력</h2>
<p>첫째 줄에는 잘라진 햐얀색 색종이의 개수를 출력하고, 둘째 줄에는 파란색 색종이의 개수를 출력한다.</p>
</article>
<article class="section">
<h2>예제 입력 1 복사</h2>
<pre class="sampledata" id="sample-input-1">8
1 1 0 0 0 0 1 1
1 1 0 0 0 0 1 1
0 0 0 0 1 1 0 0
0 0 0 0 1 1 0 0
1 0 0 0 1 1 1 1
0 1 0 0 1 1 1 1
0 0 1 1 1 1 1 1
0 0 1 1 1 1 1 1
</pre>
</article>
<article class="section">
<h2>예제 출력 1 복사</h2>
<pre class="sampledata" id="sample-output-1">9
7
</pre>
</article>
</main>
</body>
</html>