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Contributing to Alibaba Damo Academy Sequence Understanding Toolkit (AdaSeq)

Thanks for considering contributing!

(Some contents are borrowed from contributing guidelines of AllenNLP and fairseq. Many thanks!)

1 How Can I Contribute?

1.1 Bug fixes and new features

Did you find a bug?

First, do a quick search to see whether your issue has already been reported. If so, please comment on the existing issue.

Otherwise, open a new GitHub issue. Be sure to include a clear title and use the issue templates. The description should include as much relevant information as possible. The description should explain how to reproduce the erroneous behavior as well as the behavior you expect to see. Ideally you would include a code sample or an executable test case demonstrating the expected behavior.

Do you have a suggestion for an enhancement?

We use GitHub issues to track enhancement requests. Before you create an enhancement request:

  • Make sure you have a clear idea of the enhancement you would like. If you have a vague idea, consider discussing it first on a GitHub issue.

  • Check the code (documentation comming soon) to make sure your feature does not already exist.

  • Do a quick search to see whether your enhancement has already been suggested.

When creating your enhancement request, please:

  • Provide a clear title and description.

  • Explain why the enhancement would be useful. It may be helpful to highlight the feature in other libraries.

  • Include code examples to demonstrate how the enhancement would be used.

1.2 New models

Do you have a new state-of-the-art model?

We are always looking for new models to add to our collection. The most popular models are usually added to AdaSeq/examples dictionary.

If you think your model should be part of them, please create a pull request that includes:

  • Any code changes needed to support your new model.

  • A link to the model itself. Please do not check your model into the GitHub repository, but instead upload it in the PR conversation or provide a link to it at an external location.

In the description of your PR, please clearly explain the task your model performs along with the relevant metrics on an established dataset.

2 Making a pull request

When you're ready to contribute code to address an open issue, please follow these guidelines to help us be able to review your pull request (PR) quickly.

2.1 Initial setup (only do this once)

If you haven't already done so, please fork this repository on GitHub.

Then clone your fork locally with

git clone https://github.com/USERNAME/adaseq.git

or

git clone [email protected]:USERNAME/adaseq.git

Please replace USERNAME with your username. Both uppercased /AdaSeq.git and lowercased /adaseq.git are fine.

Finally, you'll need to create a Python 3 virtual environment suitable for working on AdaSeq. The conda and venv are the most common choices.

Once your virtual environment is activated, you can code now! But please remember keep your fork up-to-date, see following sections.

2.2 Ensure your fork is up-to-date

Keeping your fork up-to-date is easy, just click the Sync fork and then Update branch on the github webpage of your fork (https://github.com/USERNAME/AdaSeq).

Finally pull these changes to your local clone.

2.3 Create a new branch to work on your fix, enhancement or model

Commiting directly to the main branch of your fork is not recommended. It will be easier to keep your fork clean if you work on a seperate branch for each contribution you intend to make.

If your contribution involves additions to any public part of the API, we require that you write docstrings for each function, method, class, or module that you add. See the Comments and Docstrings of Google Python Style Guide section below for details on the syntax.

2.4 Test your changes

Our continuous integration (CI) are now running on internal platforms. But you can run most of these tests locally, which is something you should do before opening a PR to help speed up the review process and make it easier for us.

We strive to reach high test coverage, so most contributions should include additions to the unit tests.

For example, if you've fixed a bug in adaseq/adata/processors/, you can run the tests specific to that module with

PYTHONPATH=. python tests/test_preprocessor.py

You can also run all tests with

PYTHONPATH=. python tests/run_tests.py

to check multiple changes.

We use pre-commit hooks to ensure the code lints. There are pre-commit hooks configured in the repository which you can install. After installation, they will automatically run each time you commit. An abbreviated guide is given below; for more information, refer to the offical pre-commit documentation.

Install pre-commit by running

pip install pre-commit
pre-commit install

And then just commit your changes, If there was a failure, you will get feedback, for example

trim trailing whitespace.................................................Passed
check yaml...............................................................Passed
fix end of files.........................................................Passed
fix requirements.txt.....................................................Passed
fix double quoted strings................................................Failed
- hook id: double-quote-string-fixer
- exit code: 1
- files were modified by this hook

Fixing strings in setup.py

check for merge conflicts................................................Passed
fix python encoding pragma...............................................Passed
mixed line ending........................................................Passed
isort....................................................................Passed
black....................................................................Failed
- hook id: black
- files were modified by this hook

reformatted setup.py

All done! ✨ 🍰 ✨
1 file reformatted, 86 files left unchanged.

flake8...................................................................Passed

Certain hooks modify your files to comply. To include these modifications, you will need to add them (i.e. git add ...) and commit again.

If all is well, you should see something like:

trim trailing whitespace.................................................Passed
check yaml...............................................................Passed
fix end of files.........................................................Passed
fix requirements.txt.....................................................Passed
fix double quoted strings................................................Passed
check for merge conflicts................................................Passed
fix python encoding pragma...............................................Passed
mixed line ending........................................................Passed
isort....................................................................Passed
black....................................................................Passed
flake8...................................................................Passed

You can also manually run pre-commit

# check several specific files
pre-commit run --files a.py b.py c.yaml

# check all files
pre-commit run --all-files

2.5 Open a pull request

After all of the above checks have passed, you can now open a new GitHub pull request. Make sure you have a clear description of the problem and the solution, and include a link to relevant issues.

We look forward to reviewing your PR!