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CodeObject/storage/zeta/_static/22335.html
yenru0 fe8128ab65 add _static
2026-04-27 09:44:16 +09:00

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<!DOCTYPE html>
<html lang="ko">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>BOJ 22335 - 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>XOR 5</h1>
</header>
<article class="section">
<h2>문제</h2>
<p>You are implementing an application for a mobile phone, which has a black-and-white screen. The x-coordinates of the screen start from the left and the y-coordinates from the top, as shown in the figures. For the application, you need various images, which are not all of the same size. Instead of storing the images, you want to create the images using the phone&rsquo;s graphics library. You may assume that at the start of drawing an image, all pixels of the screen are white. The only graphics operation in the phone&rsquo;s library is <code>XOR(L,R,T,B)</code>, which will reverse the pixel values in the rectangle with top left coordinate (<code>L</code>,<code>T</code>) and bottom right coordinate (<code>R</code>,<code>B</code>), where <code>L</code> stands for the left, <code>T</code> for the top, <code>R</code> for the right and <code>B</code> for the bottom coordinate. Note that in some other graphics libraries the order of the arguments is different.</p>
<p>As an example, consider the image in Figure-3. Applying <code>XOR(2,4,2,6)</code> to an all white image gives the image in Figure-1. Applying <code>XOR(3,6,4,7)</code> to the image of Figure-1 gives the image in Figure-2, and applying <code>XOR(1,3,3,5)</code> to the image in Figure-2 finally gives the image in Figure-3</p>
<table class="table table-bordered td-center">
<tbody>
<tr>
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" 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" style="width: 156px; height: 157px;" /></td>
</tr>
<tr>
<td>Figure-1</td>
<td>Figure-2</td>
<td>Figure-3</td>
</tr>
</tbody>
</table>
<p>Given a set of black-and-white pictures, your task is to generate each picture from an initially white screen using as few <code>XOR</code> calls as you can. You are given the input files describing the images, and you are to submit files including the required <code>XOR</code> call parameters, not a program to create these files.</p>
</article>
<article class="section">
<h2>입력</h2>
<p>You are given 10 problem instances in the text files named xor1.in to xor10.in. Each input file is organized as follows. The first line of an input file contains one integer N, 5 &le; N &le; 2000, meaning that there are N rows and N columns in the image. The remaining lines represent the rows of the image from top to bottom. Each line contains N integers: the pixel values in the row from left to right. Each of these integers is either a 0 or a 1, where 0 represents a white pixel and 1 represents a black pixel.</p>
</article>
<article class="section">
<h2>출력</h2>
<p>The first line contains an integer K: the number of <code>XOR</code> calls specified in the file. The following K lines represent these calls from the first call to the last call to be executed. Each of these K lines contains four integers: the <code>XOR</code> call parameters <code>L</code>, <code>R</code>, <code>T</code>, <code>B</code> in that order.</p>
</article>
<article class="section">
<h2>예제 입력 1 복사</h2>
<pre class="sampledata" id="sample-input-1">7
0 0 0 0 0 0 0
0 1 1 1 0 0 0
1 0 0 1 0 0 0
1 0 1 0 1 1 0
1 0 1 0 1 1 0
0 1 0 0 1 1 0
0 0 1 1 1 1 0
</pre>
</article>
<article class="section">
<h2>예제 출력 1 복사</h2>
<pre class="sampledata" id="sample-output-1">3
2 4 2 6
3 6 4 7
1 3 3 5
</pre>
</article>
</main>
</body>
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