: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.
.. image:: https://img.shields.io/pypi/v/dwavebinarycsp.svg
: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://readthedocs.com/projects/d-wave-systems-binarycsp/badge/?version=latest
:target: https://docs.ocean.dwavesys.com/projects/binarycsp/en/latest/?badge=latest
.. image:: https://circleci.com/gh/dwavesystems/dwavebinarycsp.svg?style=svg
:target: https://circleci.com/gh/dwavesystems/dwavebinarycsp
dwavebinarycsp
==============
.. index-start-marker
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)
.. index-end-marker
Installation
------------
.. installation-start-marker
To install:
.. code-block:: bash
pip install dwavebinarycsp
To build from source:
.. code-block:: bash
pip install -r requirements.txt
python setup.py install
.. installation-end-marker
License
-------
Released under the Apache License 2.0. See LICENSE file.
Contributing
------------
Ocean's `contributing guide <https://docs.ocean.dwavesys.com/en/stable/contributing.html>`_
has guidelines for contributing to Ocean packages.
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