Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Report bugs at https://github.com/equinor/fmu-dataio/issues.
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.
- Detailed steps to reproduce the bug.
Look through the Git issues for bugs. Anything tagged with "bug" and "help wanted" is open to whoever wants to implement it.
Look through the Git issues for features. Anything tagged with "enhancement" and "help wanted" is open to whoever wants to implement it.
Yes, fmu-dataio could always use more documentation, whether as part of the official fmu-dataio docs, in docstrings, or even on the web in blog posts, articles, and such.
The best way to send feedback is to file an issue at https://github.com/equinor/fmu-dataio/issues.
If you are proposing a feature:
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
Ready to contribute? Here's how to set up fmu-dataio
for local development.
- Fork the
fmu-dataio
repo on Github equinor to your personal user - Clone your fork locally:
$ git clone [email protected]:your_name_here/fmu-dataio
$ cd fmu-dataio
$ git remote add upstream [email protected]:equinor/fmu-dataio
$ git remote -v
origin [email protected]:your_name_here/fmu-dataio (fetch)
origin [email protected]:your_name_here/fmu-dataio (push)
upstream [email protected]:equinor/fmu-dataio (fetch)
upstream [email protected]:equinor/fmu-dataio (push)
- Install your local copy into a virtualenv. Using python 3, this is how you set up your fork for local development (first time):
$ cd <fmu-dataio>
$ python -m venv .
$ source bin/activate
$ pip install pip -U
$ pip install ".[dev,docs]"
$ pytest # No tests should fail. (exit code 0)
- Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
- When you're done making changes, check that your changes pass ruff and the tests:
$ ruff check .
$ pytest
- Commit your changes (see below) and push your branch to GitHub:
$ git add .
$ git commit -m "AAA: Your detailed description of your changes."
$ git push origin name-of-your-bugfix-or-feature
- Submit a pull request through the Github website.
The following takes effect from year 2021.
Commit messages should be clear and follow a few basic rules. Example:
ENH: add functionality X to numpy.<submodule>.
The first line of the commit message starts with a capitalized acronym
(options listed below) indicating what type of commit this is. Then a blank
line, then more text if needed. Lines shouldn't be longer than 72
characters. If the commit is related to a ticket, indicate that with
"See #3456", "Cf. #3344, "See ticket 3456", "Closes #3456"
or similar.
Read Chris Beams hints on commit messages <https://chris.beams.io/posts/git-commit/>
_.
Describing the motivation for a change, the nature of a bug for bug fixes or some details on what an enhancement does are also good to include in a commit message. Messages should be understandable without looking at the code changes. A commit message like FIX: fix another one is an example of what not to do; the reader has to go look for context elsewhere.
Standard acronyms to start the commit message with are:
API: an (incompatible) API change (will be rare)
BLD: change related to building fmu-dataio
BUG: bug fix
CLN: code cleanup, maintenance commit (refactoring, typos, PEP, etc.)
DEP: deprecate something, or remove a deprecated object
DOC: documentation, addition, updates
ENH: enhancement, new functionality
FIX: fixes wrt to technical issues
PERF: performance or bench-marking
REL: related to releasing fmu-dataio
REV: revert an earlier commit
TST: addition or modification of tests
As of 2024, fmu-dataio requires the use of type annotations in all new feature developments, incorporating Python 3.10's enhanced syntax for type hints. This facilitates a more concise and readable style.
- For Python versions prior to 3.10, include the following import for compatibility:
from __future__ import annotations
-
Use Python's built-in generics (e.g.,
list
,tuple
) directly. This approach is preferred over importing types likeList
orTuple
from thetyping
module. -
Apply the new union type syntax using the pipe (
|
) for clarity and simplicity. For example:
primes: list[int | float] = []
- For optional types, use
None
with the pipe (|
) instead ofOptional
. For instance:
maybe_primes: list[int | None] = []
Note: These guidelines align with PEP 604 and are preferred for all new code submissions and when updating existing code.
Before you submit a pull request: Ensure that your feature includes a test.