173 lines
46 KiB
HTML
173 lines
46 KiB
HTML
<!DOCTYPE html>
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<html lang="ko">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>BOJ 26152 - Offline</title>
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<style>
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:root {
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--bg: #fafaf8;
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--paper: #ffffff;
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--ink: #1e1f24;
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--muted: #6a6d75;
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--line: #d8dce3;
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--accent: #0d6e6e;
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--code-bg: #f4f6fb;
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}
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* { box-sizing: border-box; }
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body {
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margin: 0;
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background:
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radial-gradient(circle at 15% 0%, #f0efe9 0%, transparent 42%),
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radial-gradient(circle at 85% 20%, #e7f1f2 0%, transparent 38%),
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var(--bg);
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color: var(--ink);
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font-family: "Noto Sans KR", "Pretendard", "Apple SD Gothic Neo", sans-serif;
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line-height: 1.65;
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}
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main {
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max-width: 980px;
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margin: 0 auto;
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padding: 24px 16px 56px;
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}
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.header {
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background: var(--paper);
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border: 1px solid var(--line);
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border-radius: 14px;
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padding: 18px 20px;
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margin-bottom: 18px;
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}
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.header h1 { margin: 0 0 6px; font-size: 1.5rem; }
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.header p { margin: 0; color: var(--muted); font-size: 0.95rem; }
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.header a { color: var(--accent); text-decoration: none; }
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.section {
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background: var(--paper);
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border: 1px solid var(--line);
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border-radius: 14px;
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padding: 16px 18px;
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margin-bottom: 14px;
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overflow-x: auto;
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}
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h2 {
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margin: 0 0 10px;
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font-size: 1.05rem;
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color: var(--accent);
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border-bottom: 1px solid var(--line);
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padding-bottom: 8px;
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}
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pre, code {
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font-family: "JetBrains Mono", "Fira Code", monospace;
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background: var(--code-bg);
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}
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pre {
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padding: 12px;
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border-radius: 10px;
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border: 1px solid #e7ebf2;
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overflow: auto;
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}
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blockquote {
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margin: 14px 0;
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padding: 16px 16px 14px 22px;
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border-left: 4px solid var(--accent);
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border-radius: 10px;
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background: linear-gradient(90deg, #eef8f8 0%, #f9fdfd 100%);
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color: #24313a;
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font-weight: 600;
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position: relative;
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}
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blockquote::before {
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content: "“";
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position: absolute;
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left: 8px;
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top: 2px;
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font-size: 1.35rem;
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line-height: 1;
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color: #0b5f5f;
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opacity: 0.7;
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}
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blockquote > :first-child { margin-top: 0; }
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blockquote > :last-child { margin-bottom: 0; }
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q {
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color: #114f50;
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font-weight: 700;
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background: #edf8f8;
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border-radius: 6px;
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padding: 0 4px;
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}
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.math-inline math {
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font-size: 1em;
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vertical-align: middle;
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}
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.math-block {
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margin: 10px 0;
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padding: 8px 10px;
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overflow-x: auto;
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background: #f8fbff;
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border: 1px solid #e2ecf8;
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border-radius: 8px;
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}
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.math-block math {
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font-size: 1.04em;
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display: block;
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}
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table { border-collapse: collapse; width: 100%; }
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th, td { border: 1px solid var(--line); padding: 6px 8px; }
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img { max-width: 100%; height: auto; }
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</style>
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</head>
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<body>
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<main>
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<header class="header">
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<h1>플래피 버드 스코어링</h1>
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</header>
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<article class="section">
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<h2>문제</h2>
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<p>플래피 버드는 장애물을 피해 최대한 멀리까지 도달하는 게임이다. </p>
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<p>하나의 장애물을 피할 때마다 <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mn>1</mn></mrow></math></span>점씩 점수를 얻게 된다. 게임에는 총 <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mi>N</mi></mrow></math></span>개의 장애물이 존재하고, <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mi>i</mi></mrow></math></span>번째 장애물은 두 개의 장애물로 표현된다. 상단 장애물 끝 지점의 위치는 <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><msub><mi>A</mi><mi>i</mi></msub></mrow></math></span>로 나타내어지고, 하단 장애물 끝 지점의 위치는 <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><msub><mi>B</mi><mi>i</mi></msub></mrow></math></span>로 나타내어진다.</p>
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<p>플래피 버드 고수 세정이는 장애물이 어떤 식으로 주어지든 플래피 버드를 조작해 피할 수 있다. (<strong>단, 플래피 버드의 크기가 장애물의 틈새보다 클 경우에는 세정이도 장애물을 피하지 못한다.)</strong> 즉, 플래피 버드의 크기 <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mi>w</mi></mrow></math></span>가 장애물의 틈새보다 클 경우에는 장애물을 피하지 못한다. 이때, 장애물을 피하지 못하면 게임이 바로 끝나게 된다.</p>
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<p style="text-align: center;"><img alt="" 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" /></p>
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<p>여러 종류의 플래피 버드가 각 게임마다 주어질 때, 해당 플래피 버드를 가지고 몇 점까지 획득할 수 있는지 구하려고 한다.</p>
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<p>세정이의 게임 스코어를 구해 출력해보자.</p>
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</article>
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<article class="section">
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<h2>입력</h2>
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<p>첫 번째 줄에는 장애물의 개수 <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mi>N</mi></mrow></math></span>이 주어진다. <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mo stretchy="false">(</mo><mn>1</mn><mo>≤</mo><mi>N</mi><mo>≤</mo><mn>250</mn><mtext> </mtext><mn>000</mn><mo stretchy="false">)</mo></mrow></math></span></p>
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<p>두 번째 줄에는 상단 장애물의 위치 <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><msub><mi>A</mi><mi>i</mi></msub></mrow></math></span>가 공백으로 구분되어 주어진다. <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mo stretchy="false">(</mo><mo>−</mo><msup><mn>10</mn><mn>9</mn></msup><mo>≤</mo><msub><mi>A</mi><mi>i</mi></msub><mo>≤</mo><msup><mn>10</mn><mn>9</mn></msup><mo stretchy="false">)</mo></mrow></math></span></p>
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<p>세 번째 줄에는 하단 장애물의 위치 <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><msub><mi>B</mi><mi>i</mi></msub></mrow></math></span>가 공백으로 구분되어 주어진다. <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mo stretchy="false">(</mo><mo>−</mo><msup><mn>10</mn><mn>9</mn></msup><mo>≤</mo><msub><mi>B</mi><mi>i</mi></msub><mo>≤</mo><msup><mn>10</mn><mn>9</mn></msup><mo stretchy="false">)</mo></mrow></math></span> (이때, 주어지는 입력은 <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><msub><mi>B</mi><mi>i</mi></msub><mo>≤</mo><msub><mi>A</mi><mi>i</mi></msub></mrow></math></span>임이 보장된다.)</p>
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<p>네 번째 줄에는 플레이할 플래피 버드의 개수 <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mi>Q</mi></mrow></math></span>가 주어진다. <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mo stretchy="false">(</mo><mn>1</mn><mo>≤</mo><mi>Q</mi><mo>≤</mo><mn>250</mn><mo>,</mo><mn>000</mn><mo stretchy="false">)</mo></mrow></math></span></p>
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<p>다섯 번째 줄에는 각 플래피 버드의 크기 <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><msub><mi>w</mi><mi>i</mi></msub></mrow></math></span>가 주어진다. <span class="math-inline"><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><mrow><mo stretchy="false">(</mo><mn>1</mn><mo>≤</mo><msub><mi>w</mi><mi>i</mi></msub><mo>≤</mo><msup><mn>10</mn><mn>9</mn></msup><mo stretchy="false">)</mo></mrow></math></span></p>
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</article>
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<article class="section">
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<h2>출력</h2>
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<p>각 플래피 버드별로 세정이가 얻을 수 있는 최대 게임 스코어를 각 줄마다 하나씩 출력한다.</p>
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</article>
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<article class="section">
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<h2>예제 입력 1 복사</h2>
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<pre class="sampledata" id="sample-input-1">7
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10 5 7 7 8 9 10
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1 -1 2 -1 5 2 9
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4
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3 7 5 1
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</pre>
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</article>
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<article class="section">
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<h2>예제 출력 1 복사</h2>
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<pre class="sampledata" id="sample-output-1">6
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1
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4
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7
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</pre>
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</article>
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</main>
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</body>
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</html>
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