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Add md2html-enhance-footnote-filter.
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--- | ||
title: test_md2html_footnote | ||
--- | ||
duplicate1.[^1] | ||
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duplicate2.[^2] | ||
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duplicate3.[^3] | ||
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[^1]: Deep Learning with Intel® AVX-512 and Intel® DL Boost | ||
https://www.intel.cn/content/www/cn/zh/developer/articles/guide/deep-learning-with-avx512-and-dl-boost.html | ||
www.intel.cn | ||
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[^2]: Deep Learning with Intel® AVX-512222 and Intel® DL Boost https://www.intel.cn/content/www/cn/zh/developer/articles/guide/deep-learning-with-avx512-and-dl-boost.html www.intel.cn | ||
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[^3]: Deep Learning with Intel® AVX-512 and Intel® DL Boost https://www.intel.cn/content/www/cn/zh/developer/articles/guide/deep-learning-with-avx512-and-dl-boost.html www.intel.cn | ||
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footnot.[^footnote_with_link] | ||
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[^footnote_with_link]: 技术文档 [技术文档 | Microsoft Learn](https://learn.microsoft.com/zh-cn/docs/) | ||
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emphasis(italic).[^4] | ||
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strong(bold).[^5] | ||
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[^4]:《Sorting algorithm》, *Wikipedia*. 2024年3月19日. 见于: 2024年5月22日. [在线]. 载于: https://en.wikipedia.org/w/index.php?title=Sorting_algorithm&oldid=1214598553#Stability | ||
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[^5]:《Sorting algorithm》, **Wikipedia**. 2024年3月19日. 见于: 2024年5月22日. [在线]. 载于: https://en.wikipedia.org/w/index.php?title=Sorting_algorithm&oldid=1214598553#Stability |
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--- | ||
title: test_md2html_anchor_and_link | ||
title: test_md2html_header_anchor_and_link | ||
--- | ||
# 引用链接 | ||
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<!DOCTYPE html> | ||
<html xmlns="http://www.w3.org/1999/xhtml" lang="" xml:lang=""> | ||
<head> | ||
<meta charset="utf-8" /> | ||
<meta name="generator" content="pandoc" /> | ||
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> | ||
<title>test_md2html_footnote</title> | ||
<style> | ||
html { | ||
color: #1a1a1a; | ||
background-color: #fdfdfd; | ||
} | ||
body { | ||
margin: 0 auto; | ||
max-width: 36em; | ||
padding-left: 50px; | ||
padding-right: 50px; | ||
padding-top: 50px; | ||
padding-bottom: 50px; | ||
hyphens: auto; | ||
overflow-wrap: break-word; | ||
text-rendering: optimizeLegibility; | ||
font-kerning: normal; | ||
} | ||
@media (max-width: 600px) { | ||
body { | ||
font-size: 0.9em; | ||
padding: 12px; | ||
} | ||
h1 { | ||
font-size: 1.8em; | ||
} | ||
} | ||
@media print { | ||
html { | ||
background-color: white; | ||
} | ||
body { | ||
background-color: transparent; | ||
color: black; | ||
font-size: 12pt; | ||
} | ||
p, h2, h3 { | ||
orphans: 3; | ||
widows: 3; | ||
} | ||
h2, h3, h4 { | ||
page-break-after: avoid; | ||
} | ||
} | ||
p { | ||
margin: 1em 0; | ||
} | ||
a { | ||
color: #1a1a1a; | ||
} | ||
a:visited { | ||
color: #1a1a1a; | ||
} | ||
img { | ||
max-width: 100%; | ||
} | ||
svg { | ||
height: auto; | ||
max-width: 100%; | ||
} | ||
h1, h2, h3, h4, h5, h6 { | ||
margin-top: 1.4em; | ||
} | ||
h5, h6 { | ||
font-size: 1em; | ||
font-style: italic; | ||
} | ||
h6 { | ||
font-weight: normal; | ||
} | ||
ol, ul { | ||
padding-left: 1.7em; | ||
margin-top: 1em; | ||
} | ||
li > ol, li > ul { | ||
margin-top: 0; | ||
} | ||
blockquote { | ||
margin: 1em 0 1em 1.7em; | ||
padding-left: 1em; | ||
border-left: 2px solid #e6e6e6; | ||
color: #606060; | ||
} | ||
code { | ||
font-family: Menlo, Monaco, Consolas, 'Lucida Console', monospace; | ||
font-size: 85%; | ||
margin: 0; | ||
hyphens: manual; | ||
} | ||
pre { | ||
margin: 1em 0; | ||
overflow: auto; | ||
} | ||
pre code { | ||
padding: 0; | ||
overflow: visible; | ||
overflow-wrap: normal; | ||
} | ||
.sourceCode { | ||
background-color: transparent; | ||
overflow: visible; | ||
} | ||
hr { | ||
background-color: #1a1a1a; | ||
border: none; | ||
height: 1px; | ||
margin: 1em 0; | ||
} | ||
table { | ||
margin: 1em 0; | ||
border-collapse: collapse; | ||
width: 100%; | ||
overflow-x: auto; | ||
display: block; | ||
font-variant-numeric: lining-nums tabular-nums; | ||
} | ||
table caption { | ||
margin-bottom: 0.75em; | ||
} | ||
tbody { | ||
margin-top: 0.5em; | ||
border-top: 1px solid #1a1a1a; | ||
border-bottom: 1px solid #1a1a1a; | ||
} | ||
th { | ||
border-top: 1px solid #1a1a1a; | ||
padding: 0.25em 0.5em 0.25em 0.5em; | ||
} | ||
td { | ||
padding: 0.125em 0.5em 0.25em 0.5em; | ||
} | ||
header { | ||
margin-bottom: 4em; | ||
text-align: center; | ||
} | ||
#TOC li { | ||
list-style: none; | ||
} | ||
#TOC ul { | ||
padding-left: 1.3em; | ||
} | ||
#TOC > ul { | ||
padding-left: 0; | ||
} | ||
#TOC a:not(:hover) { | ||
text-decoration: none; | ||
} | ||
code{white-space: pre-wrap;} | ||
span.smallcaps{font-variant: small-caps;} | ||
div.columns{display: flex; gap: min(4vw, 1.5em);} | ||
div.column{flex: auto; overflow-x: auto;} | ||
div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;} | ||
/* The extra [class] is a hack that increases specificity enough to | ||
override a similar rule in reveal.js */ | ||
ul.task-list[class]{list-style: none;} | ||
ul.task-list li input[type="checkbox"] { | ||
font-size: inherit; | ||
width: 0.8em; | ||
margin: 0 0.8em 0.2em -1.6em; | ||
vertical-align: middle; | ||
} | ||
.display.math{display: block; text-align: center; margin: 0.5rem auto;} | ||
</style> | ||
</head> | ||
<body> | ||
<header id="title-block-header"> | ||
<h1 class="title">test_md2html_footnote</h1> | ||
</header> | ||
<p>duplicate1.<a href="#fn1" class="footnote-ref" id="fnref1" | ||
role="doc-noteref"><sup>1</sup></a></p> | ||
<p>duplicate2.<a href="#fn2" class="footnote-ref" id="fnref2" | ||
role="doc-noteref"><sup>2</sup></a></p> | ||
<p>duplicate3.<a href="#fn3" class="footnote-ref" id="fnref3" | ||
role="doc-noteref"><sup>3</sup></a></p> | ||
<p>footnot.<a href="#fn4" class="footnote-ref" id="fnref4" | ||
role="doc-noteref"><sup>4</sup></a></p> | ||
<p>emphasis(italic).<a href="#fn5" class="footnote-ref" id="fnref5" | ||
role="doc-noteref"><sup>5</sup></a></p> | ||
<p>strong(bold).<a href="#fn6" class="footnote-ref" id="fnref6" | ||
role="doc-noteref"><sup>6</sup></a></p> | ||
<section id="footnotes" class="footnotes footnotes-end-of-document" | ||
role="doc-endnotes"> | ||
<hr /> | ||
<ol> | ||
<li id="fn1"><p>Deep Learning with Intel® AVX-512 and Intel® DL Boost <a | ||
href="https://www.intel.cn/content/www/cn/zh/developer/articles/guide/deep-learning-with-avx512-and-dl-boost.html">https://www.intel.cn/content/www/cn/zh/developer/articles/guide/deep-learning-with-avx512-and-dl-boost.html</a> | ||
<a href="https://www.intel.cn">www.intel.cn</a> <a href="#fnref1" | ||
class="footnote-back" role="doc-backlink">↩︎</a></p></li> | ||
<li id="fn2"><p>Deep Learning with Intel® AVX-512222 and Intel® DL Boost | ||
<a | ||
href="https://www.intel.cn/content/www/cn/zh/developer/articles/guide/deep-learning-with-avx512-and-dl-boost.html">https://www.intel.cn/content/www/cn/zh/developer/articles/guide/deep-learning-with-avx512-and-dl-boost.html</a> | ||
<a href="https://www.intel.cn">www.intel.cn</a> <a href="#fnref2" | ||
class="footnote-back" role="doc-backlink">↩︎</a></p></li> | ||
<li id="fn3"><p>Deep Learning with Intel® AVX-512 and Intel® DL Boost <a | ||
href="https://www.intel.cn/content/www/cn/zh/developer/articles/guide/deep-learning-with-avx512-and-dl-boost.html">https://www.intel.cn/content/www/cn/zh/developer/articles/guide/deep-learning-with-avx512-and-dl-boost.html</a> | ||
<a href="https://www.intel.cn">www.intel.cn</a> <a href="#fnref3" | ||
class="footnote-back" role="doc-backlink">↩︎</a></p></li> | ||
<li id="fn4"><p>技术文档 技术文档 | Microsoft Learn <a href="#fnref4" | ||
class="footnote-back" role="doc-backlink">↩︎</a></p></li> | ||
<li id="fn5"><p>《Sorting algorithm》, Wikipedia. 2024年3月19日. 见于: | ||
2024年5月22日. [在线]. 载于: <a | ||
href="https://en.wikipedia.org/w/index.php?title=Sorting_algorithm&oldid=1214598553#Stability">https://en.wikipedia.org/w/index.php?title=Sorting_algorithm&oldid=1214598553#Stability</a> | ||
<a href="#fnref5" class="footnote-back" | ||
role="doc-backlink">↩︎</a></p></li> | ||
<li id="fn6"><p>《Sorting algorithm》, Wikipedia. 2024年3月19日. 见于: | ||
2024年5月22日. [在线]. 载于: <a | ||
href="https://en.wikipedia.org/w/index.php?title=Sorting_algorithm&oldid=1214598553#Stability">https://en.wikipedia.org/w/index.php?title=Sorting_algorithm&oldid=1214598553#Stability</a> | ||
<a href="#fnref6" class="footnote-back" | ||
role="doc-backlink">↩︎</a></p></li> | ||
</ol> | ||
</section> | ||
</body> | ||
</html> |
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