If you are interested in contributing to nx-cugraph, your contributions will fall into three categories:
- You want to report a bug, feature request, or documentation issue
- File an issue describing what you encountered or what you want to see changed.
- Please run and paste the output of the
print_env.sh
script while reporting a bug to gather and report relevant environment details. - The RAPIDS team will evaluate the issues and triage them, scheduling them for a release. If you believe the issue needs priority attention, comment on the issue to notify the team.
- You want to propose a new Feature and implement it
- Post about your intended feature, and we shall discuss the design and implementation.
- Once we agree that the plan looks good, go ahead and implement it, using the code contributions guide below.
- You want to implement a feature or bug-fix for an outstanding issue
- Follow the code contributions guide below.
- If you need more context on a particular issue, please ask and we shall assist.
- Read the project's README.md to learn how to setup the development environment. # FIXME ADD THIS SECTION
- Find an issue to work on. Issues or help wanted labels
- Comment on the issue saying you are going to work on it.
- Code! Make sure to update unit tests!
- When done, create your pull request.
- Verify that CI passes all status checks, or fix if needed.
- Wait for other developers to review your code and update code as needed.
- Once reviewed and approved, a RAPIDS developer will merge your pull request.
Remember, if you are unsure about anything, don't hesitate to comment on issues and ask for clarifications!
These instructions are tested on supported versions/distributions of Linux, CUDA, and Python - See RAPIDS Getting Started for the list of supported environments. Other environments might be compatible, but are not currently tested. Further details about requirements are described in the RAPIDS System Requirements page.
- Clone the repository:
git clone https://github.com/rapidsai/nx-cugraph.git
cd nx-cugraph
# for CUDA 12 environments
conda env create --name nxcg-dev --file conda/environments/all_cuda-128_arch-x86_64.yaml
# activate the environment
conda activate nxcg-dev
- Note: the conda environment files are updated frequently, so the development environment may also need to be updated if dependency versions or pinnings are changed.
# for details and usage, run with the --help flag
./build.sh
- Note: if Python files (
*.py
) have changed, the build must be rerun.
To verify your install with tests, run
pytest -v nx_cugraph/tests
Consistent code formatting is important in the nx-cugraph project to ensure readability, maintainability, and thus simplifies collaboration.
nx-cugraph uses pre-commit to execute code linters and formatters that check the code for common issues, such as syntax errors, code style violations, and help to detect bugs. Using pre-commit ensures that linter versions and options are aligned for all developers. The same hooks are executed as part of the CI checks. This means running pre-commit checks locally avoids unnecessary CI iterations.
To use pre-commit
, install the tool via conda
or pip
into your development
environment:
conda install -c conda-forge pre-commit
Alternatively:
pip install pre-commit
After installing pre-commit, it is recommended to install pre-commit hooks to run automatically before creating a git commit. In this way, it is less likely that style checks will fail as part of CI checks. To install pre-commit hooks, simply run the following command within the repository root directory:
pre-commit install
By default, pre-commit runs on staged files only, meaning only on changes that are about to be committed. To run pre-commit checks on all files, execute:
pre-commit run --all-files
To skip the checks temporarily, use git commit --no-verify
or its short form
-n
.
Note: If the auto-formatters' changes affect each other, you may need to go
through multiple iterations of git commit
and git add -u
.
The pre-commit hooks configured for this repository consist of a number of
linters and auto-formatters that we summarize here. For a full and current list,
please see the .pre-commit-config.yaml
file.
Each PR must be labeled according to whether it is a "breaking" or "non-breaking" change (using Github labels). This is used to highlight changes that users should know about when upgrading.
For nx-cugraph, a "breaking" change is one that modifies the public, non-experimental, Python API in a non-backward-compatible way.
Additional labels must be applied to indicate whether the change is a feature, improvement, bugfix, or documentation change. See the shared RAPIDS documentation for these labels: https://github.com/rapidsai/kb/issues/42.
The nx-cugraph repository has two main branches:
main
branch: it contains the last released version. Only hotfixes are targeted and merged into it.branch-x.y
: it is the development branch which contains the upcoming release. All the new features should be based on this branch and Merge/Pull request should target this branch (with the exception of hotfixes).
For every new version x.y
of nx-cugraphs there is a corresponding branch called branch-x.y
, from where new feature development starts and PRs will be targeted and merged before its release. The exceptions to this are the 'hotfixes' that target the main
branch, which target critical issues raised by Github users and are directly merged to main
branch, and create a new subversion of the project. While trying to patch an issue which requires a 'hotfix', please state the intent in the PR.
For all development, your changes should be pushed into a branch (created using the naming instructions below) in your own fork of nx-cugraph and then create a pull request when the code is ready.
A few days before releasing version x.y
the code of the current development branch (branch-x.y
) will be frozen and a new branch, 'branch-x+1.y' will be created to continue development.
Branches used to create PRs should have a name of the form <type>-<name>
which conforms to the following conventions:
- Type:
- fea - For if the branch is for a new feature(s)
- enh - For if the branch is an enhancement of an existing feature(s)
- bug - For if the branch is for fixing a bug(s) or regression(s)
- Name:
- A name to convey what is being worked on
- Please use dashes or underscores between words as opposed to spaces.
Portions adopted from https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md