Algoneer

Algoneer is a Python toolkit to test algorithmic systems.

Installing

You can install the latest Algoneer Datasets repository using pip:

pip install algoneer_dataset

Alternatively, you can download this repository and install Algoneer directly from the main directory of the repository:

pip install .

When developing Algoneer, you can install the package in development mode, which will not copy files but instead link them to your virtual environment so that you can edit them and see changes immediately:

pip install -e .

If you want to run tests, please also install test dependencies:

pip install -r requirements-test.txt --no-index --find-links wheels

Information For Developers

The following sections are only relevant for developers of Algoneer, if you are a user you can disregard them.

Upgrading packages

You can use the fabulous pur tool to upgrade packages in the requirements files:

# will update normal requirements
pur -v -r requirements.txt
# will update test requirements
pur -v -r requirements-test.txt

Building Wheels

We install all packages from local wheels if possible (for security reasons), to generate these wheels simply use the following commands:

pip wheel --wheel-dir wheels -r requirements.txt
pip wheel --wheel-dir wheels -r requirements-test.txt

Making a New Release

To release a new version of Algonaut, follow these steps:

• Make sure all tests pass for the new release.

• Update setup.py with the new version number. We follow the semantic versioning standard for our version numbers.

• Add a changelog entry in the README.md.

• Commit the updated setup.py and README.md files to the repository.

• Create a new tag with the version number (which is required for CI integration):

  git tag -a v0.1.4 -m "v0.1.4"
  

• Push the tag to the main repository together with the commit

  git push origin master --tags
  

• Gitlab/Travis will pick up the version tag and make the release for us.

• Alternatively, you can create the distribution packages using setup.py:

  python setup.py sdist bdist_wheel
  

• You can also manually publish the packages to PyPi via Twine (not recommended):

  twine upload dist/*