.. _reviewers-guide: ******************** Reviewers guideline ******************** .. _pull-request-checklist: Pull request checklist ====================== Branch selection ---------------- In general target the master branch for all new features and bug-fixes. PRs may target maintenance or doc branches on a case-by-case basis. Documentation ------------- * Every new feature should be documented. If it's a new module, don't forget to add a new rst file to the API docs. * Each high-level plotting function should have a small example in the `Example` section of the docstring. This should be as simple as possible to demonstrate the method. More complex examples should go in the `examples` section of the documentation. * Build the docs and make sure all formatting warnings are addressed. * See :ref:`documenting-matplotlib` for our documentation style guide. * If your change is a major new feature, add an entry to :file:`doc/users/whats_new.rst`. * If you change the API in a backward-incompatible way, please document it in :file:`doc/api/api_changes.rst`. PR Review guidelines ==================== * Be patient and `kind `__ with contributors. * If you have commit rights, then you are trusted to use them. Please help review and merge PRs! * Documentation and examples may be merged by the first reviewer. Use the threshold "is this better than it was?" as the review criteria. * For code changes (anything in ``src`` or ``lib``) at least two developers (those with commit rights) should review all pull requests. If you are the first to review a PR and approve of the changes use the github `'approve review' `__ tool to mark it as such. If you are a subsequent reviewer please approve the review and if you think no more review is needed, merge the PR. Ensure that all API changes are documented in :file:`doc/api/api_changes` and significant new features have and entry in :file:`doc/user/whats_new`. * Make sure the Travis, Appvyor, circle, and codecov tests are passing before merging. - Whenever a pull request is created or updated, Travis and Appveyor automatically runs the test suite on all versions of Python supported by Matplotlib. The `tox` support in Matplotlib may be useful for testing locally. * Do not self merge, except for 'small' patches to un-break the CI or when another reviewer explicitly allows it (ex, "Approve modulo CI passing, may self merge when green") * Squashing is case-by-case. The balance is between burden on the contributor, keeping a relatively clean history, and keeping a history usable for bisecting. The only time we are really strict about it is to eliminate binary files (ex multiple test image re-generations) and to remove upstream merges. * Do not let perfect be the enemy of the good, particularly for documentation or example PRs. If you find yourself making many small suggestions, either open a PR against the original branch, push changes to the contributor branch, or merge the PR and then open a new PR against upstream. * If you push to a contributor branch leave a comment explaining what you did, ex "I took the liberty of pushing a small clean-up PR to your branch, thanks for your work.". If you are going to make substantial changes to the code or intent of the PR please check with the contributor first. Branches and Backports ====================== The current active branches are *master* This will be Matplotlib 3.0. Supports Python 3.5+. *v2.2.x* Maintenance branch for Matplotlib 2.2 LTS. Supports Python 2.7, 3.4+ *v2.2.N-doc* Documentation for the current release. On a patch release, this will be replaced by a properly named branch for the new release. We always will backport to 2.2.x - critical bug fixes (segfault, failure to import, things that the user can not work around) - fixes for regressions against 2.0 or 2.1 Everything else (regressions against 1.x versions, bugs/api inconsistencies the user can work around in their code) are on a case-by-case basis, should be low-risk, and need someone to advocate for and shepherd through the backport. The only changes to be backported to 2.2.N-doc are changes to ``doc``, ``examples``, or ``tutorials``. Any changes to ``lib`` or ``src`` should not be backported to this branch. Automated backports ------------------- We use meeseeksdev bot to automatically backport merges to the correct maintenance branch base on the milestone. To work properly the milestone must be set before merging. If you have commit rights, the bot can also be manually triggered after a merge by leaving a message ``@meeseeksdev backport to BRANCH`` on the PR. If there are conflicts meeseekdevs will inform you that the backport needs to be done manually. The target branch is configured by putting ``on-merge: backport to TARGETBRANCH`` in the milestone description on it's own line. If the bot is not working as expected, please report issues to `Meeseeksdev `__. Manual backports ---------------- When doing backports please copy the form used by meeseekdev, ``Backport PR #XXXX: TITLE OF PR``. If you need to manually resolve conflicts make note of them and how you resolved them in the commit message. We do a backport from master to v2.2.x assuming: * ``matplotlib`` is a read-only remote branch of the matplotlib/matplotlib repo The ``TARGET_SHA`` is the hash of the merge commit you would like to backport. This can be read off of the github PR page (in the UI with the merge notification) or through the git CLI tools. Assuming that you already have a local branch ``v2.2.x`` (if not, then ``git checkout -b v2.2.x``), and that your remote pointing to ``https://github.com/matplotlib/matplotlib`` is called ``upstream``:: git fetch upstream git checkout v2.2.x # or include -b if you don't already have this. git reset --hard upstream/v2.2.x git cherry-pick -m 1 TARGET_SHA # resolve conflicts and commit if required Files with conflicts can be listed by `git status`, and will have to be fixed by hand (search on ``>>>>>``). Once the conflict is resolved, you will have to re-add the file(s) to the branch and then continue the cherry pick:: git add lib/matplotlib/conflicted_file.py git add lib/matplotlib/conflicted_file2.py git cherry-pick --continue Use your discretion to push directly to upstream or to open a PR; be sure to push or PR against the `v2.2.x` upstream branch, not `master`!