Tools for transferring large data to and between cloud storage providers.
To upload data to aws s3, you may need to install and configure awscli
. To upload data to gcp, you may need to install and configure gsutil
.
- Run
pip install -e .[imaging]
- Run
./post_install.sh
- Run
pip install -e .[ephys]
- Run
pip install -e .[full]
- Run
./post_install.sh
- Run
pip install -e .[dev]
- Run
./post_install.sh
There are several libraries used to run linters, check documentation, and run tests.
- Please test your changes using the coverage library, which will run the tests and log a coverage report:
coverage run -m unittest discover && coverage report
- Use interrogate to check that modules, methods, etc. have been documented thoroughly:
interrogate .
- Use flake8 to check that code is up to standards (no unused imports, etc.):
flake8 .
- Use black to automatically format the code into PEP standards:
black .
- Use isort to automatically sort import statements:
isort .
For internal members, please create a branch. For external members, please fork the repo and open a pull request from the fork. We'll primarily use Angular style for commit messages. Roughly, they should follow the pattern:
<type>(<scope>): <short summary>
where scope (optional) describes the packages affected by the code changes and type (mandatory) is one of:
- build: Changes that affect the build system or external dependencies (example scopes: pyproject.toml, setup.py)
- ci: Changes to our CI configuration files and scripts (examples: .github/workflows/ci.yml)
- docs: Documentation only changes
- feat: A new feature
- fix: A bug fix
- perf: A code change that improves performance
- refactor: A code change that neither fixes a bug nor adds a feature
- test: Adding missing tests or correcting existing tests