“意外的章节标题” Sphinx——numpy 是问题吗?

发布于 2024-09-06 21:06:55 字数 683 浏览 6 评论 0原文

在我的 doc/ 目录中运行时

sphinx-build . html/

,我得到以下输出:

$ sphinx-build . html/
Running Sphinx v0.6.4
No builder selected, using default: html
loading pickled environment... done
building [html]: targets for 0 source files that are out of date
updating environment: 0 added, 1 changed, 0 removed
reading sources... [100%] index                 
reST markup error:
HIDDEN/PATH/matplotlib_visualization.py:docstring of simulator.extensions.matplotlib_visualization.beta:20: (SEVERE/4) Unexpected section title.

此文件具有 numpy 导入,经过一番研究,sphinx 使用的 RST 标记似乎具有numpy 的记录方式存在问题。当我取出 numpy 导入时,html 构建得很好。

解决这个问题的最佳方法是什么?

When running

sphinx-build . html/

in my doc/ directory, I get the following output:

$ sphinx-build . html/
Running Sphinx v0.6.4
No builder selected, using default: html
loading pickled environment... done
building [html]: targets for 0 source files that are out of date
updating environment: 0 added, 1 changed, 0 removed
reading sources... [100%] index                 
reST markup error:
HIDDEN/PATH/matplotlib_visualization.py:docstring of simulator.extensions.matplotlib_visualization.beta:20: (SEVERE/4) Unexpected section title.

This file has numpy imports, and after a little research, it seems like the RST markup that sphinx uses has a problem with the way numpy is documented. When I take out the numpy import, the html builds fine.

What would be the best way to resolve this issue?

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云仙小弟 2024-09-13 21:06:55

该主题在此线程中讨论:
https://groups.google.com/d/msg/sphinx-用户/MAFTlX8pAvk/B9hx7MuBVbIJ

皮埃尔 GM 说:
“弗雷德里克,
看起来您正在使用 numpy 标准作为您的文档。考虑
然后使用 Pauli Virtanen 实现的 numpydoc 扩展:
此处提供:http://sphinx.googlecode.com/svn/contrib/trunk / "

有关 numpydoc 的当前信息:
https://github.com/numpy/numpy /blob/master/doc/HOWTO_DOCUMENT.rst.txt

移动了有关 NumpyDoc 的信息:https://numpydoc.readthedocs.io/en/latest/format.html#docstring-standard

The subject is discussed in this thread:
https://groups.google.com/d/msg/sphinx-users/MAFTlX8pAvk/B9hx7MuBVbIJ

Pierre GM says:
"fredrik,
Looks like you're using thw numpy standard for your documentation. Consider
then using the numpydoc extensions that Pauli Virtanen implemented: it's
available here: http://sphinx.googlecode.com/svn/contrib/trunk/ "

Current information abut numpydoc:
https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt

Moved information about NumpyDoc: https://numpydoc.readthedocs.io/en/latest/format.html#docstring-standard

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