semvec/pypi-packages huggingface dataset:
dwavebinarycsp 0.3.1
Solves constraints satisfaction problems with binary quadratic model samplers
License: Apache 2.0
Requires Python: >=3.9

: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.

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    :target: https://codecov.io/gh/dwavesystems/dwavebinarycsp

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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
------------

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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.