Extending the Interface#

PySCIPOpt covers many of the SCIP callable library methods, however it is not complete. One can extend the interface to encompass even more functionality that is possible with SCIP. The following will provide some directions on how this can be achieved.

General File Structure#

The two most important files in PySCIPOpt are the scip.pxd and scip.pxi. These two files specify the public functions of SCIP that can be accessed from your python code.

To make PySCIPOpt aware of the public functions that one can access, one must add them to scip.pxd. There are two things that must be done in order to properly add the functions:

  • Ensure any enum, struct or SCIP variable types are included in scip.pxd

  • Add the prototype of the public function you wish to access to scip.pxd

After following the previous two steps, it is then possible to create functions in python that reference the SCIP public functions included in scip.pxd. This is achieved by modifying the scip.pxi file to add the functionality you require.

Contribution Guidelines#

Code contributions are very welcome and should comply to a few rules:

  • Read Design Principles of PySCIPOpt in the section below

  • New features should be covered by tests and examples. Please extend the tests and example appropriately. Tests uses pytest and examples are meant to be accessible for PySCIPOpt newcomers (even advanced examples).

  • New code should be documented in the same style as the rest of the code.

  • New features or bugfixes have to be documented in the CHANGELOG.

  • New code should be pep8-compliant. Help yourself with the style guide checker.

  • Before implementing a new PySCIPOpt feature, check whether the feature exists in SCIP. If so, implement it as a pure wrapper, mimicking SCIP whenever possible. If the new feature does not exist in SCIP, but it is close to an existing one, consider if implementing that way is substantially convenient (e.g. Pythonic). If it does something completely different, you are welcome to pull your request and discuss the implementation.

  • PySCIPOpt uses semantic versioning. Version number increase only happens on master and must be tagged to build a new PyPI release.

For general reference, we suggest:

If you find this contributing guide unclear, please open an issue! :)

Design Principles of PySCIPOpt#

PySCIPOpt is meant to be a fast-prototyping interface of the pure SCIP C API. By design, we distinguish different functions in PySCIPOPT:

  • pure wrapping functions of SCIP;

  • convenience functions.

PySCIPOpt wrappers of SCIP functions should act:

  • with an expected behavior - and parameters, returns, attributes, … - as close to SCIP as possible

  • without “breaking” Python and the purpose for what the language it is meant.

Ideally speaking, we want every SCIP function to be wrapped in PySCIPOpt.

Convenience functions are additional, non-detrimental features meant to help prototype the Python way. Since these functions are not in SCIP, we wish to limit them to prevent difference in features between SCIP and PySCIPOPT, which are always difficult to maintain. A few convenience functions survive in PySCIPOpt when keeping them is doubtless beneficial.

Admittedly, there is a middle ground where functions are not completely wrappers or just convenient. That is the case, for instance, of fundamental Model methods like addCons or writeProblem. We want to leave their development to negotiation.