:warning: dwavebinarycsp is deprecated. For solving problems with constraints, we recommend using the hybrid solvers in the Leap :tm: service. You can find documentation for the hybrid solvers at https://docs.ocean.dwavesys.com.
:target: https://pypi.org/project/dwavebinarycsp
.. image:: https://codecov.io/gh/dwavesystems/dwavebinarycsp/branch/master/graph/badge.svg :target: https://codecov.io/gh/dwavesystems/dwavebinarycsp
.. image:: https://circleci.com/gh/dwavesystems/dwavebinarycsp.svg?style=svg :target: https://circleci.com/gh/dwavesystems/dwavebinarycsp
============== dwavebinarycsp
.. start_binarycsp_about
Library to construct a binary quadratic model from a constraint satisfaction problem with small constraints over binary variables.
Below is an example usage:
.. code-block:: python
import dwavebinarycsp
import dimod
csp = dwavebinarycsp.factories.random_2in4sat(8, 4) # 8 variables, 4 clauses
bqm = dwavebinarycsp.stitch(csp)
resp = dimod.ExactSolver().sample(bqm)
for sample, energy in resp.data(['sample', 'energy']):
print(sample, csp.check(sample), energy)
.. end_binarycsp_about
Installation
To install:
.. code-block:: bash
pip install dwavebinarycsp
To build from source:
.. code-block:: bash
pip install -r requirements.txt
python setup.py install
License
Released under the Apache License 2.0. See LICENSE file.
Contributing
Ocean's contributing guide <https://docs.dwavequantum.com/en/latest/ocean/contribute.html>_
has guidelines for contributing to Ocean packages.