422 lines
72 KiB
HTML
422 lines
72 KiB
HTML
<!DOCTYPE html>
|
||
<html lang="zh-CN">
|
||
<head>
|
||
<meta charset="UTF-8">
|
||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||
<title>UTF-8编码示例</title>
|
||
<script type="text/javascript" async src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/MathJax.js?config=TeX-MML-AM_CHTML"></script>
|
||
<script src="https://cdn.jsdelivr.net/npm/mermaid/dist/mermaid.min.js"></script>
|
||
<script>mermaid.initialize({startOnLoad:true})</script>
|
||
<link rel="stylesheet" href="../Static/styles.css">
|
||
<!-- 可以在这里添加其他元数据和CSS链接 -->
|
||
</head>
|
||
<body>
|
||
<div class="toc">
|
||
<ul>
|
||
<li><a href="#crossdown">CrossDown</a></li>
|
||
<li><a href="#1">1 基本语法</a><ul>
|
||
<li><a href="#1.1">1.1 标题</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#_1">一级标题</a><ul>
|
||
<li><a href="#_2">二级标题</a><ul>
|
||
<li><a href="#_3">三级标题</a><ul>
|
||
<li><a href="#_4">四级标题</a><ul>
|
||
<li><a href="#_5">五级标题</a><ul>
|
||
<li><a href="#_6">六级标题</a></li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#1.2">1.2 样式</a><ul>
|
||
<li><a href="#1.2.1">1.2.1 斜体</a></li>
|
||
<li><a href="#1.2.2">1.2.2 粗体</a></li>
|
||
<li><a href="#1.2.3">1.2.3 粗斜体</a></li>
|
||
<li><a href="#1.2.4">1.2.4 下划线</a></li>
|
||
<li><a href="#1.2.5">1.2.5 删除线</a></li>
|
||
<li><a href="#1.2.6">1.2.6 高亮</a></li>
|
||
<li><a href="#1.2.7">1.2.7 在文本的正上方添加一行小文本主要用于标拼音</a></li>
|
||
<li><a href="#1.2.8">1.2.8 在指定的文本里面隐藏一段文本</a></li>
|
||
<li><a href="#1.2.9">1.2.9 分割线</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#1.3">1.3 链接</a><ul>
|
||
<li><a href="#1.3.1">1.3.1 普通链接</a></li>
|
||
<li><a href="#1.3.2">1.3.2 图片</a></li>
|
||
<li><a href="#1.3.3">1.3.3 变量链接</a></li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#2">2 缩写</a><ul>
|
||
<li><a href="#2.1">2.1 定义</a></li>
|
||
<li><a href="#2.2">2.2 赋值</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#3">3 锚点</a><ul>
|
||
<li><a href="#3.1">3.1 定义</a></li>
|
||
<li><a href="#3.2">3.2 页内链接</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#4">4 代码块</a><ul>
|
||
<li><a href="#4.1">4.1 单行</a><ul>
|
||
<li><a href="#4.1.1">4.1.1 LaTex</a></li>
|
||
<li><a href="#4.1.2">4.1.2 函数</a></li>
|
||
<li><a href="#4.1.3">4.1.3 强调</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#4.2">4.2 多行</a><ul>
|
||
<li><a href="#4.2.1">4.2.1 YAML</a></li>
|
||
<li><a href="#4.2.2">4.2.2 Python</a></li>
|
||
<li><a href="#4.2.3">4.2.3 Mermaid</a></li>
|
||
<li><a href="#4.2.4">4.2.4 shell</a></li>
|
||
<li><a href="#4.2.5">4.2.5 latex</a></li>
|
||
<li><a href="#4.2.6">4.2.6 HTML</a></li>
|
||
<li><a href="#4.2.7">4.2.7 未知语言</a></li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#5">5 转义</a></li>
|
||
<li><a href="#6">6 引用</a></li>
|
||
<li><a href="#7">7 提纲</a><ul>
|
||
<li><a href="#7.1">7.1 提纲号</a><ul>
|
||
<li><a href="#7.1.1">7.1.1 提纲号示例</a></li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#8">8 注释</a><ul>
|
||
<li><a href="#8.1">8.1 强注释</a></li>
|
||
<li><a href="#8.2">8.2 弱注释</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#9">9 列表</a><ul>
|
||
<li><a href="#9.1">9.1 有序列表</a></li>
|
||
<li><a href="#9.2">9.2 无序列表</a></li>
|
||
<li><a href="#9.3">9.3 释义列表</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#10">10 表格</a></li>
|
||
<li><a href="#11">11 警告</a></li>
|
||
<li><a href="#12">12 Emoji</a></li>
|
||
<li><a href="#13">13 脚注</a><ul>
|
||
<li><a href="#13.1">13.1 使用</a></li>
|
||
<li><a href="#13.2">13.2 定义</a></li>
|
||
<li><a href="#13.3">13.3 放置</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#14">14 外框</a><ul>
|
||
<li><a href="#14.1">14.1 警告</a></li>
|
||
<li><a href="#14.2">14.2 提醒</a></li>
|
||
<li><a href="#14.3">14.3 安心</a></li>
|
||
<li><a href="#14.4">14.4 怀疑</a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a href="#15">15 内部链接</a></li>
|
||
<li><a href="#16">16 变量</a></li>
|
||
<li><a href="#17">17 属性设置</a></li>
|
||
</ul>
|
||
</div>
|
||
<h1 id="crossdown">CrossDown</h1>
|
||
<p>自制的markdown,添加了一些自定义的语法
|
||
效果请见<README.html></p>
|
||
<h1 id="1">1 基本语法</h1>
|
||
<h2 id="1.1">1.1 标题</h2>
|
||
<h1 id="_1">一级标题</h1>
|
||
<h2 id="_2">二级标题</h2>
|
||
<h3 id="_3">三级标题</h3>
|
||
<h4 id="_4">四级标题</h4>
|
||
<h5 id="_5">五级标题</h5>
|
||
<h6 id="_6">六级标题</h6>
|
||
<h2 id="1.2">1.2 样式</h2>
|
||
<h3 id="1.2.1">1.2.1 <em>斜体</em></h3>
|
||
<h3 id="1.2.2">1.2.2 <strong>粗体</strong></h3>
|
||
<h3 id="1.2.3">1.2.3 <strong><em>粗斜体</em></strong></h3>
|
||
<h3 id="1.2.4">1.2.4 <u>下划线</u></h3>
|
||
<h3 id="1.2.5">1.2.5 <u></u>删除线<u></u></h3>
|
||
<h3 id="1.2.6">1.2.6 <mark>高亮</mark></h3>
|
||
<h3 id="1.2.7">1.2.7 <ruby>在文本的正上方添加一行小文本<rt>主要用于标拼音</rt></ruby></h3>
|
||
<h3 id="1.2.8">1.2.8 <span title="只有鼠标放在上面才会显示隐藏文本">在指定的文本里面隐藏一段文本</span></h3>
|
||
<h3 id="1.2.9">1.2.9 分割线</h3>
|
||
<hr />
|
||
<hr />
|
||
<hr />
|
||
<h2 id="1.3">1.3 链接</h2>
|
||
<h3 id="1.3.1">1.3.1 普通链接</h3>
|
||
<p><a href="链接地址">链接文本</a></p>
|
||
<p><a href="https://crossdark.com">CrossDark</a></p>
|
||
<p><a href="https://crossdark.net/">https://crossdark.net/</a></p>
|
||
<h3 id="1.3.2">1.3.2 图片</h3>
|
||
<p><img alt="链接图片" src="链接地址" /></p>
|
||
<p><img alt="sea" src="https://crossdark.com/wp-content/uploads/2024/05/1715259682-sea.jpg" /></p>
|
||
<h3 id="1.3.3">1.3.3 变量链接</h3>
|
||
<p><a href="https://crossdark.com">链接文本</a></p>
|
||
<h1 id="2">2 <abbr title="长的文本">缩写</abbr></h1>
|
||
<h2 id="2.1">2.1 定义</h2>
|
||
<h2 id="2.2">2.2 赋值</h2>
|
||
<p>直接在文本中使用 <abbr title="长的文本">缩写</abbr> 即可</p>
|
||
<h1 id="3">3 锚点</h1>
|
||
<h2 id="3.1">3.1 定义</h2>
|
||
<p><span id="锚点名">锚点名</span></p>
|
||
<h2 id="3.2">3.2 页内链接</h2>
|
||
<p><a href="#锚点名">锚点名</a></p>
|
||
<h1 id="4">4 代码块</h1>
|
||
<h2 id="4.1">4.1 <code>单行</code></h2>
|
||
<h3 id="4.1.1">4.1.1 LaTex</h3>
|
||
<p>这是<span>\(CO_2\)</span>二氧化碳</p>
|
||
<p>这是<span>\(H_2O\)</span>水</p>
|
||
<p><span>\(\lg\left(\frac{目标生物的理智值}{稳定折磨型工具人的理智值}\right)\)</span></p>
|
||
<h3 id="4.1.2">4.1.2 函数</h3>
|
||
<p><img alt="Base64 函数图片" src="data:image/png;base64,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" /> // 不定义范围</p>
|
||
<p><img alt="Base64 函数图片" src="data:image/png;base64,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" /> // 定义了x范围</p>
|
||
<p><img alt="Base64 函数图片" src="data:image/png;base64,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" /> // 定义了y范围</p>
|
||
<h3 id="4.1.3">4.1.3 强调</h3>
|
||
<p><span class="block">强调文本</span></p>
|
||
<p><span class="block">强调值</span></p>
|
||
<h2 id="4.2">4.2 多行</h2>
|
||
<h3 id="4.2.1">4.2.1 YAML</h3>
|
||
<div class="codehilite"><pre><span></span><code class="yaml"><span class="nt">A</span><span class="p">:</span>
|
||
<span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">1. a</span>
|
||
<span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">2. b</span>
|
||
<span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">3. c</span>
|
||
<span class="nt">B</span><span class="p">:</span>
|
||
<span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">a</span>
|
||
<span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">b</span>
|
||
<span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">c</span>
|
||
<span class="nt">强调值</span><span class="p">:</span>
|
||
<span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">a</span>
|
||
<span class="w"> </span><span class="p p-Indicator">-</span><span class="w"> </span><span class="l l-Scalar l-Scalar-Plain">b</span>
|
||
</code></pre></div>
|
||
|
||
<h3 id="4.2.2">4.2.2 Python</h3>
|
||
<div class="codehilite"><pre><span></span><code class="python"><span class="ch">#! usr/bin/python3.11</span>
|
||
<span class="k">def</span> <span class="nf">main</span><span class="p">():</span>
|
||
<span class="nb">print</span><span class="p">(</span><span class="s1">'CrossDown'</span><span class="p">)</span>
|
||
</code></pre></div>
|
||
|
||
<h3 id="4.2.3">4.2.3 Mermaid</h3>
|
||
<div class="codehilite"><pre><span></span><code class="mermaid">graph TD
|
||
A[开始]-->B[流程]
|
||
B-->C{判断}
|
||
C-->|结果1|D[结束1]
|
||
C-->|结果2|E[结束2]
|
||
</code></pre></div>
|
||
|
||
<h3 id="4.2.4">4.2.4 shell</h3>
|
||
<div class="codehilite"><pre><span></span><code class="shell"><span class="nb">cd</span><span class="w"> </span>../..
|
||
ls
|
||
</code></pre></div>
|
||
|
||
<h3 id="4.2.5">4.2.5 latex</h3>
|
||
<div class="codehilite"><pre><span></span><code class="rd">\documentclass{article}
|
||
\title{我的第一个LaTeX文档}
|
||
\author{作者姓名}
|
||
\date{\today}
|
||
|
||
\begin{document}
|
||
|
||
\maketitle
|
||
|
||
这是我的第一个LaTeX文档。它包含了一个标题、作者信息、日期和一个简单的正文部分。
|
||
|
||
\section{引言}
|
||
|
||
这是引言部分，可以简要介绍文档的主题和目的。
|
||
|
||
\section{正文}
|
||
|
||
这是正文部分，可以详细阐述你的观点或研究内容。你可以根据需要添加更多的章节和子章节。
|
||
|
||
\subsection{子章节示例}
|
||
|
||
这是一个子章节的示例，用于展示如何在LaTeX文档中创建层次结构。
|
||
|
||
\end{document}
|
||
</code></pre></div>
|
||
|
||
<h3 id="4.2.6">4.2.6 HTML</h3>
|
||
<div class="codehilite"><pre><span></span><code class="html">*斜体***粗体**~下划线~~~删除线~~==高亮==
|
||
</code></pre></div>
|
||
|
||
<h3 id="4.2.7">4.2.7 未知语言</h3>
|
||
<div class="codehilite"><pre><span></span><code class="text">#! usr/bin/python3.11
|
||
def main():
|
||
print('CrossDown')
|
||
</code></pre></div>
|
||
|
||
<h1 id="5">5 转义</h1>
|
||
<p>\ </p>
|
||
<p>\a </p>
|
||
<p>*</p>
|
||
<h1 id="6">6 引用</h1>
|
||
<blockquote>
|
||
<p>一级引用</p>
|
||
<blockquote>
|
||
<p>二级引用</p>
|
||
<blockquote>
|
||
<p>三级引用</p>
|
||
<blockquote>
|
||
<p>四级引用</p>
|
||
<blockquote>
|
||
<p>五级引用</p>
|
||
<blockquote>
|
||
<p>六级引用</p>
|
||
</blockquote>
|
||
</blockquote>
|
||
</blockquote>
|
||
</blockquote>
|
||
</blockquote>
|
||
<p>引文内添加<em>斜体</em><strong>粗体</strong><u>下划线</u><u></u>删除线<u></u><mark>高亮</mark></p>
|
||
</blockquote>
|
||
<h1 id="7">7 提纲</h1>
|
||
<h2 id="7.1">7.1 提纲号</h2>
|
||
<p>以数字和点组成,通过空格与提纲名分隔,例如:</p>
|
||
<h3 id="7.1.1">7.1.1 提纲号示例</h3>
|
||
<p>点不能出现在开头或结尾,例如</p>
|
||
<p>.7.1.2 错误示范</p>
|
||
<p>7.1.3. 错误示范</p>
|
||
<p>不能出现两个及以上连续的点,例如:</p>
|
||
<p>7..1...4 错误示范</p>
|
||
<p>提纲号会被自动配置为锚点,可直接使用<a href="#7">7</a><a href="#7.1">7.1</a></p>
|
||
<h1 id="8">8 注释</h1>
|
||
<p>|==| 注释</p>
|
||
<h2 id="8.1">8.1 强注释</h2>
|
||
<p>|=
|
||
无论如何都会被移除
|
||
<code>放在代码块里也没用</code>
|
||
=|</p>
|
||
<h2 id="8.2">8.2 弱注释</h2>
|
||
<!-- 这是注释 -->
|
||
|
||
<p>只有在 // 后面才会被移除</p>
|
||
<p><code>// 代码中的注释弱不会被移除</code></p>
|
||
<h1 id="9">9 列表</h1>
|
||
<h2 id="9.1">9.1 有序列表</h2>
|
||
<ol>
|
||
<li>a</li>
|
||
<li>b</li>
|
||
<li>c</li>
|
||
<li>d</li>
|
||
</ol>
|
||
<h2 id="9.2">9.2 无序列表</h2>
|
||
<ul>
|
||
<li>A</li>
|
||
<li>B</li>
|
||
<li>C</li>
|
||
<li>D</li>
|
||
</ul>
|
||
<h2 id="9.3">9.3 释义列表</h2>
|
||
<dl>
|
||
<dt>A</dt>
|
||
<dd>
|
||
<ol>
|
||
<li>a </li>
|
||
<li>b </li>
|
||
<li>c </li>
|
||
</ol>
|
||
</dd>
|
||
<dt>B</dt>
|
||
<dd>
|
||
<ul>
|
||
<li>a </li>
|
||
<li>b </li>
|
||
<li>c</li>
|
||
</ul>
|
||
</dd>
|
||
<dt><span class="block">强调值</span></dt>
|
||
<dd>
|
||
<ul>
|
||
<li>a</li>
|
||
<li>b</li>
|
||
<li>c</li>
|
||
</ul>
|
||
</dd>
|
||
<dt>Apple</dt>
|
||
<dd>Pomaceous fruit of plants of the genus Malus in
|
||
the family Rosaceae.</dd>
|
||
<dt>Orange</dt>
|
||
<dd>The fruit of an evergreen tree of the genus Citrus.</dd>
|
||
</dl>
|
||
<h1 id="10">10 表格</h1>
|
||
<table>
|
||
<thead>
|
||
<tr>
|
||
<th style="text-align: center;">表头1</th>
|
||
<th style="text-align: center;">表头2</th>
|
||
<th style="text-align: center;">表头3</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<td style="text-align: center;">单元格1</td>
|
||
<td style="text-align: center;">单元格2</td>
|
||
<td style="text-align: center;">单元格3</td>
|
||
</tr>
|
||
<tr>
|
||
<td style="text-align: center;">单元格4</td>
|
||
<td style="text-align: center;">单元格5</td>
|
||
<td style="text-align: center;">单元格6</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<h1 id="11">11 警告</h1>
|
||
<div class="admonition warning">
|
||
<p class="admonition-title">警告标题</p>
|
||
<p>警告内容</p>
|
||
</div>
|
||
<h1 id="12">12 Emoji</h1>
|
||
<p>🚴</p>
|
||
<p>这是一个笑脸😃图案</p>
|
||
<h1 id="13">13 脚注</h1>
|
||
<h2 id="13.1">13.1 使用</h2>
|
||
<p>这是一个<sup id="fnref:脚注"><a class="footnote-ref" href="#fn:脚注">1</a></sup></p>
|
||
<h2 id="13.2">13.2 定义</h2>
|
||
<h2 id="13.3">13.3 放置</h2>
|
||
<p>通过一下代码可以将文章中所有的脚注定义集中于一处</p>
|
||
<div class="footnote">
|
||
<hr />
|
||
<ol>
|
||
<li id="fn:脚注">
|
||
<p>一段长的文本用于说明 <a class="footnote-backref" href="#fnref:脚注" title="Jump back to footnote 1 in the text">↩</a></p>
|
||
</li>
|
||
</ol>
|
||
</div>
|
||
<p>否则所有定义将被集中在文章末尾</p>
|
||
<h1 id="14">14 外框</h1>
|
||
<h2 id="14.1">14.1 警告</h2>
|
||
<p>这是一个!!!警告!!!……</p>
|
||
<p>!!!
|
||
这是一条警告
|
||
!!!</p>
|
||
<h2 id="14.2">14.2 提醒</h2>
|
||
<p>这是一个!!提醒!!……</p>
|
||
<p>!!
|
||
这是一条提醒
|
||
!!</p>
|
||
<h2 id="14.3">14.3 安心</h2>
|
||
<p>这是一个,,,安心,,,……</p>
|
||
<p>,,,
|
||
这是一条安心
|
||
,,,</p>
|
||
<h2 id="14.4">14.4 怀疑</h2>
|
||
<p>这是一个,,怀疑,,……</p>
|
||
<p>,,
|
||
这是一条怀疑
|
||
,,</p>
|
||
<h1 id="15">15 内部链接</h1>
|
||
<p><a class="wikilink" href="/Bracketed/">Bracketed</a></p>
|
||
<h1 id="16">16 变量</h1>
|
||
<p>强调值</p>
|
||
<h1 id="17">17 属性设置</h1>
|
||
<p style="font-family: sans-serif;">可以设置文段的字体为sans-serif</p>
|
||
<p style="font-family: Helvetica;">可以设置文段的字体为Helvetica</p>
|
||
<p style="font-family: SetoFont;">可以设置文段的自定义字体为小赖字体</p>
|
||
<p style="display: inline-block; border: 1px solid yellow;">可以设置文本的黄色外框</p>
|
||
</body>
|
||
</html>
|