AryazE/DyLin

Dynamic Linter for Python

DyLin

Dynamic Linter for Python

Run on your GitHub workflow

It is now possible to run DyLin directly on GitHub workflows. You just need to add 5 lines to your workflow file. For anonymity, the link to the GitHub actions will be added after the reviews.

Requirements

You need docker, git, and python>=3.9 installed for running the experiments. For Kaggle experiments, you need to have a Kaggle API key set in kaggle.json in the root directory. To install requirements for a local (not in a container) run:

pip install -r requirements.txt

Checkers

The checkers are implemented in src/analyses.

Evaluation

All experiments are self-contained, i.e. they download the required repositories, source code, and data. Run the micro-benchmark:

pytest tests

Run DyLin on GitHub repositories:

bash build_projects.sh
bash run_all_with_cov.sh # to collect analysis coverage
bash run_all_no_cov.sh # no analysis coverage

Results will be in project_results.

Run the GitHub project's test suites:

bash build_testcov.sh
bash run_all_testcov.sh

Results will be in project_testcovs.

Run Ruff on GitHub projects:

bash build_lint.sh
bash run_all_linters.sh

Results will be in project_lints.

Run DyLin on a Kaggle competition:

bash build_kaggle.sh <kaggle competition id: e.g. titanic>
bash run_kaggle.sh

Results will be in kaggle_results.