The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is designed to be a flexible and method agnostic to solve a wide range of problems in the field of operations research and reinforcement learning.
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[ ] Tests are included for relevant behavior changes.
[ ] Documentation is added in the docs folder for relevant behavior changes. If you made important user-facing
changes, describe them under the [Unreleased] tag in CHANGELOG.md.
[ ] New package dependencies are declared in the pyproject.toml file.
Requirement files have been updated by running tox -e requirements.
[ ] Code works with all supported Python versions (3.8, 3.9 and 3.10). Checks run with all three version and are
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[ ] Code is formatted according to PEP 8 (an IDE like PyCharm can do this for you).
[ ] Technical guidelines listed in CONTRIBUTING.md are followed.
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Checklist
docsfolder for relevant behavior changes. If you made important user-facing changes, describe them under the[Unreleased]tag inCHANGELOG.md.pyproject.tomlfile. Requirement files have been updated by runningtox -e requirements.CONTRIBUTING.mdare followed.