dwave-preprocessing provides preprocessing tools for binary quadratic models (BQM) and presolve algorithms for constrained quadratic models (CQM).
import dwave.preprocessingThis package contains several preprocessing composites that can aid in solving BQMs and a presolver that can reduce a problem's redundant variables and constraints to improve the accuracy of CQMs. For details on underlying algorithms and usage, see the package's Reference Documentation.
Install from a package on PyPI:
pip install dwave-preprocessingor install from source:
pip install -r requirements.txt
python setup.py build_ext --inplace
python setup.py installReleased under the Apache License 2.0. See LICENSE file.
Ocean's contributing guide has guidelines for contributing to Ocean packages.
dwave-preprocessing makes use of reno to manage its release notes.
When making a contribution to dwave-preprocessing that will affect users, create a new release note file by running
reno new your-short-descriptor-hereYou can then edit the file created under releasenotes/notes/.
Remove any sections not relevant to your changes.
Commit the file along with your changes.