Fix sphinx warnings (#602)

Fix #539
This commit is contained in:
Inada Naoki
2023-05-17 10:58:18 +09:00
committed by GitHub
parent a2e970698f
commit 3517eb77b7
3 changed files with 21 additions and 19 deletions

View File

@@ -9,53 +9,48 @@ MySQLdb Package
:undoc-members:
:show-inheritance:
:mod:`connections` Module
-------------------------
:mod:`MySQLdb.connections` Module
---------------------------------
.. automodule:: MySQLdb.connections
:members: Connection
:undoc-members:
:show-inheritance:
:mod:`converters` Module
------------------------
:mod:`MySQLdb.converters` Module
--------------------------------
.. automodule:: MySQLdb.converters
:members:
:undoc-members:
:show-inheritance:
:mod:`cursors` Module
---------------------
:mod:`MySQLdb.cursors` Module
-----------------------------
.. automodule:: MySQLdb.cursors
:members: Cursor
:members:
:undoc-members:
:show-inheritance:
:mod:`times` Module
-------------------
:mod:`MySQLdb.times` Module
---------------------------
.. automodule:: MySQLdb.times
:members:
:undoc-members:
:show-inheritance:
:mod:`_mysql` Module
--------------------
:mod:`MySQLdb._mysql` Module
----------------------------
.. automodule:: MySQLdb._mysql
:members:
:undoc-members:
:show-inheritance:
:mod:`_exceptions` Module
-------------------------
:mod:`MySQLdb._exceptions` Module
---------------------------------
.. automodule:: MySQLdb._exceptions
:members:
:undoc-members:
:show-inheritance:
Subpackages

View File

@@ -22,6 +22,13 @@ import os
# -- General configuration -----------------------------------------------------
nitpick_ignore = [
("py:class", "datetime.date"),
("py:class", "datetime.time"),
("py:class", "datetime.datetime"),
]
# If your documentation needs a minimal Sphinx version, state it here.
# needs_sphinx = "1.0"

View File

@@ -8,7 +8,7 @@ import re
from ._exceptions import ProgrammingError
#: Regular expression for :meth:`Cursor.executemany`.
#: Regular expression for ``Cursor.executemany```.
#: executemany only supports simple bulk insert.
#: You can use it to load large dataset.
RE_INSERT_VALUES = re.compile(