Skip to content

Latest commit

 

History

History
130 lines (93 loc) · 4.14 KB

CONTRIBUTING.md

File metadata and controls

130 lines (93 loc) · 4.14 KB
Raw

Contributing to BoTorch

We want to make contributing to BoTorch is as easy and transparent as possible.

Development installation

To get the development installation with all the necessary dependencies for linting, testing, and building the documentation, run the following:

git clone https://github.com/pytorch/botorch.git
cd botorch
pip install -e .[dev]

Our Development Process

Code Style

BoTorch uses the black code formatter to enforce a common code style across the code base. black is installed easily via pip using pip install black, and run locally by calling

black .

from the repository root. No additional configuration should be needed (see the black documentation for advanced usage).

Import Sorting

BoTorch uses [ufmt]https://github.com/omnilib/ufmt library for consistent sorting of imports across the codebase. Install via pip install ufmt, and auto-sort with

ufmt format .

from the repository root.

We feel strongly that having a consistent code style and imports is important, so CI will fail on your PR if it does not pass ufmt muster (note: under the hood ufmt also checks black code style).

Type Hints

BoTorch is fully typed using python 3.7+ type hints. We expect any contributions to also use proper type annotations. While we currently do not enforce full consistency of these in our continuous integration test, you should strive to type check your code locally. For this we recommend using pyre.

Unit Tests

To run the unit tests, you can either use pytest (if installed):

pytest -ra

or python's unittest:

python -m unittest

To get coverage reports we recommend using the pytest-cov plugin:

pytest -ra --cov=. --cov-report term-missing

Documentation

BoTorch's website is also open source, and is part of this very repository (the code can be found in the website folder). It is built using Docusaurus, and consists of three main elements:

  1. The documentation in Docusaurus itself (if you know Markdown, you can already contribute!). This lives in the docs.
  2. The API reference, auto-generated from the docstrings using Sphinx, and embedded into the Docusaurus website. The sphinx .rst source files for this live in sphinx/source.
  3. The Jupyter notebook tutorials, parsed by nbconvert, and embedded into the Docusaurus website. These live in tutorials.

To build the documentation you will need Node >= 8.x and Yarn >= 1.5.

The following command will both build the docs and serve the site locally:

./scripts/build_docs.sh

Pull Requests

We actively welcome your pull requests.

  1. Fork the repo and create your branch from master.
  2. If you have added code that should be tested, add unit tests. In other words, add unit tests.
  3. If you have changed APIs, update the documentation. Make sure the documentation builds.
  4. Ensure the test suite passes.
  5. Make sure your code passes both black and flake8 formatting checks.
  6. If you haven't already, complete the Contributor License Agreement ("CLA").

Contributor License Agreement ("CLA")

In order to accept your pull request, we need you to submit a CLA. You only need to do this once to work on any of Facebook's open source projects. You can complete your CLA here: https://code.facebook.com/cla

Issues

We use GitHub issues to track public bugs. Please ensure your description is clear and has sufficient instructions to be able to reproduce the issue.

Facebook has a bounty program for the safe disclosure of security bugs. In those cases, please go through the process outlined on that page and do not file a public issue.

License

By contributing to BoTorch, you agree that your contributions will be licensed under the LICENSE file in the root directory of this source tree.