Making a SciPy release¶
At the highest level, this is what the release manager does to release a new Scipy version:
- Propose a release schedule on the scipy-dev mailing list.
- Create the maintenance branch for the release.
- Tag the release.
- Build all release artifacts (sources, installers, docs).
- Upload the release artifacts.
- Announce the release.
- Port relevant changes to release notes and build scripts to master.
In this guide we attempt to describe in detail how to perform each of the above steps. In addition to those steps, which have to be performed by the release manager, here are descriptions of release-related activities and conventions of interest:
- Labels and Milestones
- Version numbering
- Supported Python and Numpy versions
Proposing a release schedule¶
A typical release cycle looks like:
- Create the maintenance branch
- Release a beta version
- Release a “release candidate” (RC)
- If needed, release one or more new RCs
- Release the final version once there are no issues with the last release candidate
There’s usually at least one week between each of the above steps. Experience shows that a cycle takes between 4 and 8 weeks for a new minor version. Bug-fix versions don’t need a beta or RC, and can be done much quicker.
Ideally the final release is identical to the last RC, however there may be minor difference - it’s up to the release manager to judge the risk of that. Typically, if compiled code or complex pure Python code changes then a new RC is needed, while a simple bug-fix that’s backported from master doesn’t require a new RC.
To propose a schedule, send a list with estimated dates for branching and beta/rc/final releases to scipy-dev. In the same email, ask everyone to check if there are important issues/PRs that need to be included and aren’t tagged with the Milestone for the release or the “backport-candidate” label.
Creating the maintenance branch¶
Before branching, ensure that the release notes are updated as far as possible.
Include the output of
tools/authors.py in the
Maintenance branches are named
maintenance/<major>.<minor>.x (e.g. 0.19.x).
To create one, simply push a branch with the correct name to the scipy repo.
Immediately after, push a commit where you increment the version number on the
master branch and add release notes for that new version. Send an email to
scipy-dev to let people know that you’ve done this.
Tagging a release¶
First ensure that you have set up GPG correctly. See https://github.com/scipy/scipy/issues/4919 for a discussion of signing release tags, and https://keyring.debian.org/creating-key.html for instructions on creating a GPG key if you do not have one.
To make your key more readily identifiable as you, consider sending your key to public keyservers, with a command such as:
gpg --send-keys <yourkeyid>
Check that all relevant commits are in the branch. In particular, check issues and PRs under the Milestone for the release (https://github.com/scipy/scipy/milestones), PRs labeled “backport-candidate”, and that the release notes are up-to-date and included in the html docs.
setup.py to get the correct version number (set
ISRELEASED = True) and commit it with a message like
REL: set version to
<version-number>. Don’t push this commit to the Scipy repo yet.
Finally tag the release locally with
git tag -s <v1.x.y> (the
the tag is signed). Continue with building release artifacts (next section).
Only push the release commit to the scipy repo once you have built the
sdists and docs successfully. Then continue with building wheels. Only push
the release tag to the repo once all wheels have been built successfully on
TravisCI and Appveyor (if it fails, you have to move the tag otherwise - which
is bad practice). Finally, after pushing the tag, also push a second
commit which increment the version number and sets
ISRELEASED to False
Building release artifacts¶
Here is a complete list of artifacts created for a release:
- source archives (
.tar.xzfor GitHub Releases, only
.tar.gzis uploaded to PyPI)
- Binary wheels for Windows, Linx and OS X
- Documentation (
Source archives, Changelog and README are built by running
paver release in
the repo root, and end up in
REPO_ROOT/release/. Do this after you’ve
created the signed tag locally. If this completes without issues, push the release
commit (not the tag, see section above) to the scipy repo.
To build wheels, push a commit to the master branch of
https://github.com/MacPython/scipy-wheels . This triggers builds for all needed
Python versions on TravisCI. Update and check the
config files what commit to build, and what Python and Numpy are used for the
builds (it needs to be the lowest supported Numpy version for each Python
version). See the README file in the scipy-wheels repo for more details.
The TravisCI and Appveyor builds run the tests from the built wheels and if they pass, upload the wheels to a container pointed to at https://github.com/MacPython/scipy-wheels
From there you can download them for uploading to PyPI. This can be done in an automated fashion with terryfy (note the -n switch which makes it only download the wheels and skip the upload to PyPI step - we want to be able to check the wheels and put their checksums into README first):
$ python wheel-uploader -n -v -c -u https://3f23b170c54c2533c070-1c8a9b3114517dc5fe17b7c3f8c63a43.ssl.cf2.rackcdn.com -w REPO_ROOT/release/installers -t win scipy 0.19.0 $ python wheel-uploader -n -v -c -u https://3f23b170c54c2533c070-1c8a9b3114517dc5fe17b7c3f8c63a43.ssl.cf2.rackcdn.com -w REPO_ROOT/release/installers -t macosx scipy 0.19.0 $ python wheel-uploader -n -v -c -u https://3f23b170c54c2533c070-1c8a9b3114517dc5fe17b7c3f8c63a43.ssl.cf2.rackcdn.com -w REPO_ROOT/release/installers -t manylinux1 scipy 0.19.0
The correct URL to use is shown in https://github.com/MacPython/scipy-wheels and should agree with the above one.
After this, we want to regenerate the README file, in order to have the MD5 and SHA256 checksums of the just downloaded wheels in it. Run:
$ paver write_release_and_log
Uploading release artifacts¶
For a release there are currently five places on the web to upload things to:
- PyPI (tarballs, wheels)
- Github releases (tarballs, release notes, Changelog)
- scipy.org (an announcement of the release)
- docs.scipy.org (html/pdf docs)
Upload first the wheels and then the sdist:
twine upload -s REPO_ROOT/release/installers/*.whl twine upload -s REPO_ROOT/release/installers/scipy-1.x.y.tar.gz
Use GUI on https://github.com/scipy/scipy/releases to create release and upload all release artifacts.
Sources for the site are in https://github.com/scipy/scipy.org.
Update the News section in
www/index.rst and then do
make upload USERNAME=yourusername.
First build the scipy docs, by running
make dist in
that they look OK, then upload them to the doc server with
make upload USERNAME=rgommers RELEASE=0.19.0. Note that SSH access to the
doc server is needed; ask @pv (server admin) or @rgommers (can upload) if you
don’t have that.
The sources for the website itself are maintained in
https://github.com/scipy/docs.scipy.org/. Add the new Scipy version in the
table of releases in
index.rst. Push that commit, then do
Send an email announcing the release to the following mailing lists:
- python-announce (not for beta/rc releases)
For beta and rc versions, ask people in the email to test (run the scipy tests and test against their own code) and report issues on Github or scipy-dev.
After the final release is done, port relevant changes to release notes, build
scripts, author name mapping in
tools/authors.py and any other changes that
were only made on the maintenance branch to master.