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用reStructuredText语法为代码写注释
lyhuang18 edited this page Sep 15, 2018
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4 revisions
def my_function(my_arg, my_other_arg):
"""A function just for me.
:param my_arg: The first of my arguments.
:param str my_other_arg: The second of my arguments.
:returns: A message (just for me, of course).
This is an example::
[
[[word_11, word_12, word_13], [label_11. label_12]], # sample 1
[[word_21, word_22, word_23], [label_21. label_22]], # sample 2
...
]
This is an example:
>>> a=1
>>> b=2
>>> a+b
3
.. note::
This is a note.
"""
- 在
:param arg:
前必须空一行,才能显示出参数和返回值列表;在arg
前面可以加上变量类型 -
.. note::
能生成一个note
如果是python代码,直接段落后面加 ::
,并留一空行,被引用的代码,还要以tab或等量的空格进行缩进,如下面例子:
python使用如下语法定义list,list的元素类型可以不一样::
>>> a = ['spam', 'eggs', 100, 1234]
>>> a
['spam', 'eggs', 100, 1234]
也可以这样:
.. code-block:: python
a = ['spam', 'eggs', 100, 1234]
a
['spam', 'eggs', 100, 1234]
引用外部的源代码文件,例子如下:
.. literalinclude:: ../code/threading_1.py
:language: python
:linenos:
:lines: 1,3,5-10,20-1234
显示代码方面的更详细的资料,可以查看 http://www.pythondoc.com/sphinx/markup/code.html
当将数学标记放在由autodoc读取的Python文档字符串中时,必须将所有反斜杠加倍,或者使用Python原始字符串(r“raw”)。
class MaskedGRU(MaskedRNNBase):
r"""Applies a multi-layer gated recurrent unit (GRU) RNN to an input sequence.
For each element in the input sequence, each layer computes the following
function:
.. math::
\begin{array}{ll}
r_t = \mathrm{sigmoid}(W_{ir} x_t + b_{ir} + W_{hr} h_{(t-1)} + b_{hr}) \\
z_t = \mathrm{sigmoid}(W_{iz} x_t + b_{iz} + W_{hz} h_{(t-1)} + b_{hz}) \\
n_t = \tanh(W_{in} x_t + b_{in} + r_t * (W_{hn} h_{(t-1)}+ b_{hn})) \\
h_t = (1 - z_t) * n_t + z_t * h_{(t-1)} \\
\end{array}
"""
注意:.. math::
前空一行
插入数学公式方面的更详细的资料,可以查看 http://www.sphinx-doc.org/en/master/usage/restructuredtext/directives.html#math
使用*
号表示一组列表,#.
表示有序列表,例子如下:
* This is a bulleted list.
* It has two items, the second
item uses two lines.
1. This is a numbered list.
2. It has two items too.
#. This is a numbered list.
#. It has two items too.123456789
*text* 斜体
**text** 加粗
``text`` 代码引用