I'm trying to get a huge chunk of work done on Python 3.4 in the next,
oh, week-and-a-half, and I could use your help. I'm trying to convert a
whole bunch of call sites in Python to use "Argument Clinic", a new
build utility for Python that makes argument parsing code much easier to
write. But I don't think I can do it all myself.
To learn more about what Argument Clinic is, and get a sense for what
the work will be like, please read the howto in the documentation:
http://docs.python.org/dev/howto/clinic.html
How can you help? I've split up the files in the Python source tree
between about two dozen issues on the issue tracker, each having roughly
50 call sites in them to examine*. You can find the issues by searching
for the word "Derby". This URL should do the trick:
http://bugs.python.org/issue?%40search_text=Derby&ignore=file%3Acontent&title=&%40columns=title&id=&%40columns=id&stage=&creation=&creator=&activity=&%40columns=activity&%40sort=activity&actor=&nosy=&type=&components=&versions=&dependencies=&assignee=&keywords=&priority=&%40group=priority&status=1&%40columns=status&resolution=&nosy_count=&message_count=&%40pagesize=50&%40startwith=0&%40queryname=&%40old-queryname=&%40action=search
To participate, find an issue that isn't assigned to anyone and assign
it to yourself. (As far as I can tell there's no way to search for
issues owned by "nobody", so you'll have to hunt around.) Once you own
an issue, open up those files, search for "PyArg_ParseTuple(args" and
"PyArg_ParseTupleAndKeywords(args", and start converting!
In case you have questions / find bugs / need help, I'll be highly
available on IRC in #python-dev during the derby, as well as responding
to email and changes on the issue tracker. I'm very willing to review
patches.
Help!
//arry/
* The original plan was, one file per issue on the tracker. But there
are 129 files, and I was informed that people would come to my house and
make my life unpleasant if I created 129 issues on the tracker. Please
forgive me for the mildly-random way the files got bundled together.
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