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authorJohn MacFarlane <jgm@berkeley.edu>2021-12-20 13:44:03 -0800
committerJohn MacFarlane <jgm@berkeley.edu>2021-12-22 09:45:02 -0800
commit7a9832166e36f77402d5e0259647e9f5c7ba4e58 (patch)
tree38b417997812c3e04704be97c05368ea795b15fe /test/ipynb
parent0bdf37315766eb4b785002ffaf38cdb724628e7a (diff)
downloadpandoc-7a9832166e36f77402d5e0259647e9f5c7ba4e58.tar.gz
Add text wrapping to HTML output.
Previously the HTML writer was exceptional in not being sensitive to the `--wrap` option. With this change `--wrap` now works for HTML. The default (as with other formats) is automatic wrapping to 72 columns. A new internal module, T.P.Writers.Blaze, exports `layoutMarkup`. This converts a blaze Html structure into a doclayout Doc Text. In addition, we now add a line break between an `img` tag and the associated `figcaption`. Note: Output is never wrapped in `writeHtmlStringForEPUB`. This accords with previous behavior since previously the HTML writer was insensitive to `--wrap` settings. There's no real need to wrap HTML inside a zipped container. Note that the contents of script, textarea, and pre tags are always laid out with the `flush` combinator, so that unwanted spaces won't be introduced if these occur in an indented context in a template. Closes #7764.
Diffstat (limited to 'test/ipynb')
-rw-r--r--test/ipynb/rank.out.html12
1 files changed, 8 insertions, 4 deletions
diff --git a/test/ipynb/rank.out.html b/test/ipynb/rank.out.html
index eb5176509..a82fe8bbc 100644
--- a/test/ipynb/rank.out.html
+++ b/test/ipynb/rank.out.html
@@ -1,8 +1,12 @@
-<div id="5cf8f54d-bf3c-4db2-996d-22662a86ad43" class="cell code" data-execution_count="1">
-<div class="sourceCode" id="cb1"><pre class="sourceCode python"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> matplotlib.pyplot <span class="im">as</span> plt</span></code></pre></div>
+<div id="5cf8f54d-bf3c-4db2-996d-22662a86ad43" class="cell code"
+data-execution_count="1">
+<div class="sourceCode" id="cb1"><pre class="sourceCode
+python"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> matplotlib.pyplot <span class="im">as</span> plt</span></code></pre></div>
</div>
-<div id="a0228622-9ff8-4392-9ddd-f70a90f0e106" class="cell code" data-execution_count="2">
-<div class="sourceCode" id="cb2"><pre class="sourceCode python"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>fig, ax <span class="op">=</span> plt.subplots(figsize<span class="op">=</span>(<span class="dv">1</span>, <span class="dv">1</span>), dpi<span class="op">=</span><span class="dv">4</span>)</span>
+<div id="a0228622-9ff8-4392-9ddd-f70a90f0e106" class="cell code"
+data-execution_count="2">
+<div class="sourceCode" id="cb2"><pre class="sourceCode
+python"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>fig, ax <span class="op">=</span> plt.subplots(figsize<span class="op">=</span>(<span class="dv">1</span>, <span class="dv">1</span>), dpi<span class="op">=</span><span class="dv">4</span>)</span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>ax.imshow([[<span class="dv">0</span>, <span class="dv">1</span>], [<span class="dv">2</span>, <span class="dv">3</span>]])<span class="op">;</span></span></code></pre></div>
<div class="output display_data">
<p><em>you should see this when converting from ipynb to html instead of the image below.</em></p>