Releasing a Version

How to Prepare a Release

This file gives an overview of what is necessary to build binary releases for NumPy.

Current build and release info

The current info on building and releasing NumPy and SciPy is scattered in several places. It should be summarized in one place, updated and where necessary described in more detail. The sections below list all places where useful info can be found.

Source tree

  • INSTALL.txt
  • release.sh
  • pavement.py

Supported platforms and versions

Python 2.7 and >=3.4 are the currently supported versions when building from source. We test numpy against all these versions every time we merge code to trunk. Binary installers may be available for a subset of these versions (see below).

OS X

Python 2.7 and >=3.4 are the versions for which we provide binary installers. OS X versions >= 10.6 are supported. We build binary wheels for OSX that are compatible with Python.org Python, system Python, homebrew and macports - see this OSX wheel building summary for details.

Windows

We build 32- and 64-bit wheels for Python 2.7, 3.4, 3.5 on Windows. Windows XP, Vista, 7, 8 and 10 are supported. We build numpy using the MSVC compilers on Appveyor, but we are hoping to update to a mingw-w64 toolchain. The Windows wheels use ATLAS for BLAS / LAPACK.

Linux

We build and ship manylinux1 wheels for numpy. Many Linux distributions include their own binary builds of NumPy.

BSD / Solaris

No binaries are provided, but successful builds on Solaris and BSD have been reported.

Tool chain

We build all our wheels on cloud infrastructure - so this list of compilers is for information and debugging builds locally. See the .travis.yml and appveyor.yml scripts in the numpy wheels repo for the definitive source of the build recipes. Packages that are available using pip are noted.

Compilers

The same gcc version is used as the one with which Python itself is built on each platform. At the moment this means:

  • OS X builds on travis currently use clang. It appears that binary wheels for OSX >= 10.6 can be safely built from the travis-ci OSX 10.9 VMs when building against the Python from the Python.org installers;
  • Windows builds use the MSVC version corresponding to the Python being built against;
  • Manylinux1 wheels use the gcc provided on the Manylinux docker images.

You will need Cython for building the binaries. Cython compiles the .pyx files in the numpy distribution to .c files.

Building source archives and wheels

You will need write permission for numpy-wheels in order to trigger wheel builds.

Building docs

Building the documents requires a number of latex .sty files. Install them all to avoid aggravation.

  • Sphinx (pip)
  • numpydoc (pip)
  • Matplotlib
  • Texlive (or MikTeX on Windows)

Uploading to PyPI

Generating author/pr lists

You will need an personal access token https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/ so that scripts can access the github numpy repository

  • gitpython (pip)
  • pygithub (pip)

Virtualenv

Virtualenv is a very useful tool to keep several versions of packages around. It is also used in the Paver script to build the docs.

What is released

Wheels

  • Windows wheels for Python 2.7, 3.4, 3.5, for 32- and 64-bit, built using Appveyor;
  • Dual architecture OSX wheels built via travis-ci;
  • 32- and 64-bit Manylinux1 wheels built via travis-ci.

See the numpy wheels building repository for more detail.

Other

  • Release Notes
  • Changelog

Source distribution

We build source releases in both .zip and .tar.gz formats.

Release process

Agree on a release schedule

A typical release schedule is one beta, two release candidates and a final release. It’s best to discuss the timing on the mailing list first, in order for people to get their commits in on time, get doc wiki edits merged, etc. After a date is set, create a new maintenance/x.y.z branch, add new empty release notes for the next version in the master branch and update the Trac Milestones.

Make sure current trunk builds a package correctly

git clean -fxd
python setup.py bdist
python setup.py sdist

To actually build the binaries after everything is set up correctly, the release.sh script can be used. For details of the build process itself it is best to read the pavement.py script.

注解

The following steps are repeated for the beta(s), release candidates(s) and the final release.

Check that docs can be built

Do:

cd doc/
make dist

to check that the documentation is in a buildable state. See doc/HOWTO_BUILD_DOCS.rst.txt for more details and for how to update https://docs.scipy.org.

Check deprecations

Before the release branch is made, it should be checked that all deprecated code that should be removed is actually removed, and all new deprecations say in the docstring or deprecation warning at what version the code will be removed.

Check the C API version number

The C API version needs to be tracked in three places

  • numpy/core/setup_common.py
  • numpy/core/code_generators/cversions.txt
  • numpy/core/include/numpy/numpyconfig.h

There are three steps to the process.

  1. If the API has changed, increment the C_API_VERSION in setup_common.py. The API is unchanged only if any code compiled against the current API will be backward compatible with the last released NumPy version. Any changes to C structures or additions to the public interface will make the new API not backward compatible.

  2. If the C_API_VERSION in the first step has changed, or if the hash of the API has changed, the cversions.txt file needs to be updated. To check the hash, run the script numpy/core/cversions.py and note the api hash that is printed. If that hash does not match the last hash in numpy/core/code_generators/cversions.txt the hash has changed. Using both the appropriate C_API_VERSION and hash, add a new entry to cversions.txt. If the API version was not changed, but the hash differs, you will need to comment out the previous entry for that API version. For instance, in NumPy 1.9 annotations were added, which changed the hash, but the API was the same as in 1.8. The hash serves as a check for API changes, but it is not definitive.

    If steps 1 and 2 are done correctly, compiling the release should not give a warning “API mismatch detect at the beginning of the build.

  3. The numpy/core/include/numpy/numpyconfig.h will need a new NPY_X_Y_API_VERSION macro, where X and Y are the major and minor version numbers of the release. The value given to that macro only needs to be increased from the previous version if some of the functions or macros in the include files were deprecated.

The C ABI version number in numpy/core/setup_common.py should only be updated for a major release.

Check the release notes

Check that the release notes are up-to-date.

Write or update the release notes in a file named for the release, such as doc/release/1.11.0-notes.rst.

Mention at least the following:

  • major new features
  • deprecated and removed features
  • supported Python versions
  • for SciPy, supported NumPy version(s)
  • outlook for the near future

Also make sure that as soon as the branch is made, there is a new release notes file in trunk for the next release.

Update the release status and create a release “tag”

Identify the commit hash of the release, e.g. 1b2e1d63ff.

::
git co 1b2e1d63ff # gives warning about detached head

First, change/check the following variables in pavement.py depending on the release version:

RELEASE_NOTES = 'doc/release/1.7.0-notes.rst'
LOG_START = 'v1.6.0'
LOG_END = 'maintenance/1.7.x'

Do any other changes. When you are ready to release, do the following changes:

diff --git a/setup.py b/setup.py
index b1f53e3..8b36dbe 100755
--- a/setup.py
+++ b/setup.py
@@ -57,7 +57,7 @@ PLATFORMS           = ["Windows", "Linux", "Solaris", "Mac OS-
 MAJOR               = 1
 MINOR               = 7
 MICRO               = 0
-ISRELEASED          = False
+ISRELEASED          = True
 VERSION             = '%d.%d.%drc1' % (MAJOR, MINOR, MICRO)

 # Return the git revision as a string

And make sure the VERSION variable is set properly.

Now you can make the release commit and tag. We recommend you don’t push the commit or tag immediately, just in case you need to do more cleanup. We prefer to defer the push of the tag until we’re confident this is the exact form of the released code (see: Push the release tag and commit):

git commit -s -m “REL: Release.” setup.py git tag -s <version>

The -s flag makes a PGP (usually GPG) signed tag. Please do sign the release tags.

The release tag should have the release number in the annotation (tag message). Unfortunately the name of a tag can be changed without breaking the signature, the contents of the message cannot.

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>

Apply patch to fix bogus strides

NPY_RELAXED_STRIDE_CHECKING was made the default in NumPy 1.10.0 and bogus strides are used in the development branch to smoke out problems. The patch should be updated if necessary and applied to the release branch to rationalize the strides.

Update the version of the master branch

Increment the release number in setup.py. Release candidates should have “rc1” (or “rc2”, “rcN”) appended to the X.Y.Z format.

Also create a new version hash in cversions.txt and a corresponding version define NPY_x_y_API_VERSION in numpyconfig.h

Trigger the wheel builds on travis-ci and Appveyor

See the numpy wheels repository.

In that repository edit the files:

  • .travis.yml;
  • appveyor.yml.

In both cases, set the BUILD_COMMIT variable to the current release tag - e.g. v1.11.1.

Make sure that the release tag has been pushed.

Trigger a build by doing a commit of your edits to .travis.yml and appveyor.yml to the repository:

cd /path/to/numpy-wheels
# Edit .travis.yml, appveyor.yml
git commit
git push

The wheels, once built, appear at a Rackspace container pointed at by:

The HTTP address may update first, and you should wait 15 minutes after the build finishes before fetching the binaries.

Make the release

Build the changelog and notes for upload with:

paver write_release_and_log

The tar-files and binary releases for distribution should be uploaded to SourceForge, together with the Release Notes and the Changelog. Uploading can be done through a web interface or, more efficiently, through scp/sftp/rsync as described in the SourceForge upload guide (dead link). For example:

scp <filename> <username>,numpy@frs.sourceforge.net:/home/frs/project/n/nu/numpy/NumPy/<releasedir>/

Update PyPI

The wheels and source should be uploaded to PyPI.

You should upload the wheels first, and the source formats last, to make sure that pip users don’t accidentally get a source install when they were expecting a binary wheel.

You can do this automatically using the wheel-uploader script from https://github.com/MacPython/terryfy. Here is the recommended incantation for downloading all the Windows, Manylinux, OSX wheels and uploading to PyPI.

NPY_WHLS=~/wheelhouse   # local directory to cache wheel downloads
CDN_URL=https://3f23b170c54c2533c070-1c8a9b3114517dc5fe17b7c3f8c63a43.ssl.cf2.rackcdn.com
wheel-uploader -u $CDN_URL -w $NPY_WHLS -v -s -t win numpy 1.11.1rc1
wheel-uploader -u $CDN_URL -w warehouse -v -s -t macosx numpy 1.11.1rc1
wheel-uploader -u $CDN_URL -w warehouse -v -s -t manylinux1 numpy 1.11.1rc1

The -v flag gives verbose feedback, -s causes the script to sign the wheels with your GPG key before upload. Don’t forget to upload the wheels before the source tarball, so there is no period for which people switch from an expected binary install to a source install from PyPI.

There are two ways to update the source release on PyPI, the first one is:

$ git clean -fxd  # to be safe
$ python setup.py sdist --formats=gztar,zip  # to check
# python setup.py sdist --formats=gztar,zip upload --sign

This will ask for your key PGP passphrase, in order to sign the built source packages.

The second way is to upload the PKG_INFO file inside the sdist dir in the web interface of PyPI. The source tarball can also be uploaded through this interface.

Push the release tag and commit

Finally, now you are confident this tag correctly defines the source code that you released you can push the tag and release commit up to github:

git push  # Push release commit
git push upstream <version>  # Push tag named <version>

where upstream points to the main https://github.com/numpy/numpy.git repository.

Update docs.scipy.org

All documentation for a release can be updated on https://docs.scipy.org/ with:

make dist make upload USERNAME=<yourname> RELEASE=1.11.0

Note that <username> must have SSH credentials on the server. If you don’t have those, ask someone who does (the list currently includes @rgommers, @juliantaylor and @pv).

Also rebuild and upload docs.scipy.org front page, if the release series is a new one. The front page sources have their own repo: https://github.com/scipy/docs.scipy.org. Do the following:

  • Update index.rst for the new version.
  • make dist
  • Check that the built documentation is OK.
  • touch output-is-fine
  • make upload USERNAME=<username> RELEASE=1.x.y

Update scipy.org

A release announcement with a link to the download site should be placed in the sidebar of the front page of scipy.org.

The scipy.org should be a PR at https://github.com/scipy/scipy.org. The file that needs modification is www/index.rst. Search for News.

Announce to the lists

The release should be announced on the mailing lists of NumPy and SciPy, to python-announce, and possibly also those of Matplotlib,IPython and/or Pygame.

During the beta/RC phase an explicit request for testing the binaries with several other libraries (SciPy/Matplotlib/Pygame) should be posted on the mailing list.

Announce to Linux Weekly News

Email the editor of LWN to let them know of the release. Directions at: https://lwn.net/op/FAQ.lwn#contact

After the final release

After the final release is announced, a few administrative tasks are left to be done:

  • Forward port changes in the release branch to release notes and release scripts, if any, to trunk.
  • Update the Milestones in Trac.

Step-by-Step Directions

This file contains a walkthrough of the NumPy 1.14.5 release on Linux. The commands can be copied into the command line, but be sure to replace 1.14.5 by the correct version.

Release Walkthrough

Backport Pull Requests

Changes that have been marked for this release must be backported to the maintenance/1.14.x branch.

Update Release documentation

The file doc/changelog/1.14.5-changelog.rst should be updated to reflect the final list of changes and contributors. This text can be generated by:

$ python tools/changelog.py $GITHUB v1.14.4..maintenance/1.14.x > doc/changelog/1.14.5-changelog.rst

where GITHUB contains your github access token. This text may also be appended to doc/release/1.14.5-notes.rst for release updates, though not for new releases like 1.14.0, as the changelogs for latter tend to be excessively long. The doc/source/release.rst file should also be updated with a link to the new release notes. These changes should be committed to the maintenance branch, and later will be forward ported to master.

Finish the Release Note

Fill out the release note doc/release/1.14.5-notes.rst calling out significant changes.

Prepare the release commit

Checkout the branch for the release, make sure it is up to date, and clean the repository:

$ git checkout maintenance/1.14.x
$ git pull upstream maintenance/1.14.x
$ git submodule update
$ git clean -xdf

Edit pavement.py and setup.py as detailed in HOWTO_RELEASE:

$ gvim pavement.py setup.py
$ git commit -a -m"REL: NumPy 1.14.5 release."

Sanity check:

$ python runtests.py -m "full"
$ python3 runtests.py -m "full"

Push this release directly onto the end of the maintenance branch. This requires write permission to the numpy repository:

$ git push upstream maintenance/1.14.x

As an example, see the 1.14.3 REL commit: https://github.com/numpy/numpy/commit/73299826729be58cec179b52c656adfcaefada93.

Build source releases

Paver is used to build the source releases. It will create the release and release/installers directories and put the *.zip and *.tar.gz source releases in the latter.

$ cython --version  # check that you have the correct cython version
$ paver sdist  # sdist will do a git clean -xdf, so we omit that

Build wheels

Trigger the wheels build by pointing the numpy-wheels repository at this commit. This can take a while. The numpy-wheels repository is cloned from https://github.com/MacPython/numpy-wheels. Start with a pull as the repo may have been accessed and changed by someone else and a push will fail:

$ cd ../numpy-wheels
$ git pull origin master
$ git branch <new version>  # only when starting new numpy version
$ git checkout v1.14.x  # v1.14.x already existed for the 1.14.4 release

Edit the .travis.yml and .appveyor.yml files to make sure they have the correct version, and put in the commit hash for the REL commit created above for BUILD_COMMIT, see the _example from v1.14.3:

$ gvim .travis.yml appveyor.yml
$ git commit -a
$ git push origin HEAD

Now wait. If you get nervous at the amount of time taken – the builds can take several hours– you can check the build progress by following the links provided at https://github.com/MacPython/numpy-wheels to check the travis and appveyor build status. Check if all the needed wheels have been built and uploaded before proceeding. There should currently be 22 of them at https://wheels.scipy.org, 4 for Mac, 8 for Windows, and 10 for Linux. Note that sometimes builds, like tests, fail for unrelated reasons and you will need to restart them.

Download wheels

When the wheels have all been successfully built, download them using the wheel-uploader in the terryfy repository. The terryfy repository may be cloned from https://github.com/MacPython/terryfy if you don’t already have it. The wheels can also be uploaded using the wheel-uploader, but we prefer to download all the wheels to the ../numpy/release/installers directory and upload later using twine:

$ cd ../terryfy
$ git pull origin master
$ CDN_URL=https://3f23b170c54c2533c070-1c8a9b3114517dc5fe17b7c3f8c63a43.ssl.cf2.rackcdn.com
$ NPY_WHLS=../numpy/release/installers
$ ./wheel-uploader -u $CDN_URL -n -v -w $NPY_WHLS -t win numpy 1.14.5
$ ./wheel-uploader -u $CDN_URL -n -v -w $NPY_WHLS -t manylinux1 numpy 1.14.5
$ ./wheel-uploader -u $CDN_URL -n -v -w $NPY_WHLS -t macosx numpy 1.14.5

If you do this often, consider making CDN_URL and NPY_WHLS part of your default environment. Note that we need local copies of the files in order to generate hashes to include in the README files generated later.

Tag the release

Once the wheels have been built and downloaded without errors, go back to your numpy repository in the maintenance branch and tag the REL commit, signing it with your gpg key, and build the source distribution archives:

$ git tag -s v1.14.5

You should upload your public gpg key to github, so that the tag will appear “verified” there.

Check that the files in release/installers have the correct versions, then push the tag upstream:

$ git push upstream v1.14.5

We wait until this point to push the tag because it is very difficult to change the tag after it has been pushed.

Reset the maintenance branch into a development state

Add another REL commit to the numpy maintenance branch, which resets the ISREALEASED flag to False and increments the version counter:

$ gvim pavement.py setup.py
$ git commit -a -m"REL: prepare 1.14.x for further development"
$ git push upstream maintenance/1.14.x

Upload to PyPI

Upload to PyPI using twine. A recent version of twine of is needed after recent PyPI changes, version 1.11.0 was used here.

$ cd ../numpy
$ twine upload release/installers/*.whl
$ twine upload release/installers/numpy-1.14.5.zip  # Upload last.

If one of the commands breaks in the middle, which is not uncommon, you may need to selectively upload the remaining files because PyPI does not allow the same file to be uploaded twice. The source file should be uploaded last to avoid synchronization problems if pip users access the files while this is in process. Note that PyPI only allows a single source distribution, here we have chosen the zip archive.

Upload files to github

Generate the release/README.* files:

$ paver write_release_and_log

Go to https://github.com/numpy/numpy/releases, there should be a v1.14.5 tag, click on it and hit the edit button for that tag. There are two ways to add files, using an editable text window and as binary uploads.

  • Cut and paste the release/README.md file contents into the text window.
  • Upload release/installers/numpy-1.14.5.tar.gz as a binary file.
  • Upload release/installers/numpy-1.14.5.zip as a binary file.
  • Upload release/README.rst as a binary file.
  • Upload doc/changelog/1.14.5-changelog.rst as a binary file.
  • Check the pre-release button if this is a pre-releases.
  • Hit the {Publish,Update} release button at the bottom.

Upload documents to docs.scipy.org

This step is only needed for final releases and can be skipped for pre-releases. You will also need upload permission for the document server, if you do not have permission ping Pauli Virtanen or Ralf Gommers to generate and upload the documentation. Otherwise:

$ pushd doc
$ make dist
$ make upload USERNAME=<yourname> RELEASE=v1.14.5
$ popd

If the release series is a new one, you will need to rebuild and upload the docs.scipy.org front page:

$ cd ../docs.scipy.org
$ gvim index.rst

Note: there is discussion about moving the docs to github. This section will be updated when/if that happens.

Announce the release on scipy.org

This assumes that you have forked https://github.com/scipy/scipy.org:

$ cd ../scipy.org
$ git checkout master
$ git pull upstream master
$ git checkout -b numpy-1.14.5
$ gvim www/index.rst # edit the News section
$ git commit -a
$ git push origin HEAD

Now go to your fork and make a pull request for the branch.

Announce to mailing lists

The release should be announced on the numpy-discussion, scipy-devel, scipy-user, and python-announce-list mailing lists. Look at previous announcements for the basic template. The contributor and PR lists are the same as generated for the release notes above.

Post-Release Tasks

Forward port the documentation changes doc/release/1.14.5-notes.rst, doc/changelog/1.14.5-changelog.rst and add the release note to doc/source/release.rst.