Solves constraints satisfaction problems with binary quadratic model samplers
: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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.. 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-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
Released under the Apache License 2.0. See LICENSE file.
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Solves constraints satisfaction problems with binary quadratic model samplers
We found that dwavebinarycsp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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