Contributions are highly welcomed and appreciated. Every little help counts,
so do not hesitate! You can make a high impact on
climpred just by using it and
The following sections cover some general guidelines
regarding development in
climpred for maintainers and contributors.
Please also review our Code of Conduct.
Nothing here is set in stone and can’t be changed. Feel free to suggest improvements or changes in the workflow.
We are eager to hear about your requests for new features and any suggestions about the API, infrastructure, and so on. Feel free to submit these as issues with the label “feature request.”
Please make sure to explain in detail how the feature should work and keep the scope as narrow as possible. This will make it easier to implement in small PRs.
Report bugs for
climpred in the issue tracker
with the label “bug”.
If you are reporting a bug, please include:
Your operating system name and version.
Any details about your local setup that might be helpful in troubleshooting, specifically the Python interpreter version, installed libraries, and
Detailed steps to reproduce the bug.
If you can write a demonstration test that currently fails but should pass, that is a very useful commit to make as well, even if you cannot fix the bug itself.
Look through the GitHub issues for bugs.
Talk to developers to find out how you can fix specific bugs.
climpred could always use more documentation. What exactly is needed?
More complementary documentation. Have you perhaps found something unclear?
Docstrings. There can never be too many of them.
Example notebooks with different Earth System Models, lead times, etc. – they’re all very appreciated.
You can also edit documentation files directly in the GitHub web interface, without using a local copy. This can be convenient for small fixes.
Build the documentation locally with the following command:
$ conda env update -f ci/requirements/climpred-dev.yml $ cd docs $ make html
The built documentation should be available in the
If you need to add new functions to the API, run
sphinx-autogen -o api api.rst from the
docs/source directory and add the functions to
Fork the climpred GitHub repository. It’s fine to use
climpredas your fork repository name because it will live under your user.
Clone your fork locally using git, connect your repository to the upstream (main project), and create a branch:
$ git clone email@example.com:YOUR_GITHUB_USERNAME/climpred.git $ cd climpred $ git remote add upstream firstname.lastname@example.org:pangeo-data/climpred.git # now, to fix a bug or add feature create your own branch off "main": $ git checkout -b your-bugfix-feature-branch-name main
If you need some help with Git, follow this quick start guide.
Install dependencies into a new conda environment:
$ conda env update -f ci/requirements/climpred-dev.yml $ conda activate climpred-dev
Make an editable install of climpred by running:
$ pip install -e .
Install pre-commit and its hook on the
$ pip install --user pre-commit $ pre-commit install
pre-commit automatically beautifies the code, makes it more maintainable and catches syntax errors. Afterwards
pre-commitwill run whenever you commit.
https://pre-commit.com/ is a framework for managing and maintaining multi-language pre-commit hooks to ensure code-style and code formatting is consistent.
Now you have an environment called
climpred-devthat you can work in. You’ll need to make sure to activate that environment next time you want to use it after closing the terminal or your system.
You can now edit your local working copy and run/add tests as necessary. Please try to follow PEP-8 for naming. When committing,
pre-commitwill modify the files as needed, or will generally be quite clear about what you need to do to pass the commit test.
Break your edits up into reasonably sized commits:
$ git commit -a -m "<commit message>" $ git push -u
Run all the tests
Once commits are pushed to
origin, GitHub Actions runs continuous integration of all tests on all new commits. However, you are already run tests locally:
$ pytest climpred
Check that doctests are passing:
$ pytest --doctest-modules climpred --ignore climpred/tests
Check that your contribution is covered by tests and therefore increases the overall test coverage:
$ coverage run --source climpred -m py.test $ coverage report $ coveralls
Please stick to xarray’s testing recommendations.
Running the performance test suite
If you considerabling changed to core of code of climpred, it is worth considering
whether your code has introduced performance regressions. climpred has a suite of
benchmarking tests using asv
to enable easy monitoring of the performance of critical climpred operations.
These benchmarks are all found in the
If you need to run a benchmark, change your directory to
asv_bench/ and run:
$ asv continuous -f 1.1 upstream/main HEAD
You can replace
HEAD with the name of the branch you are working on,
and report benchmarks that changed by more than 10%.
The command uses
conda by default for creating the benchmark
Running the full benchmark suite can take up to half an hour and use up a few GBs of
RAM. Usually it is sufficient to paste only a subset of the results into the pull
request to show that the committed changes do not cause unexpected performance
regressions. You can run specific benchmarks using the
-b flag, which
takes a regular expression. For example, this will only run tests from a
$ asv continuous -f 1.1 upstream/main HEAD -b ^benchmarks_perfect_model
If you want to only run a specific group of tests from a file, you can do it
. as a separator. For example:
$ asv continuous -f 1.1 upstream/main HEAD -b benchmarks_perfect_model.Compute.time_bootstrap_perfect_model
will only run the
time_bootstrap_perfect_model benchmark of class
Create a new changelog entry in
The entry should be entered as:
:pr:`#<pull request number>`)
<description>is the description of the PR related to the change and
<pull request number>is the pull request number and
<author's names>are your first and last names.
Add yourself to list of authors at the end of
CHANGELOG.rstfile if not there yet, in alphabetical order.
Add yourself to the contributors list via
Finally, submit a pull request through the GitHub website using this data:
head-fork: YOUR_GITHUB_USERNAME/climpred compare: your-branch-name base-fork: pangeo-data/climpred base: main
Note that you can create the Pull Request while you’re working on this. The PR will update
as you add more commits.
climpred developers and contributors can then review your code
and offer suggestions.