Metadata-Version: 2.1
Name: dwave-tabu
Version: 0.3.0
Summary: Optimized Tabu solver for QUBOs
Home-page: https://github.com/dwavesystems/dwave-tabu
Author: D-Wave Systems Inc.
Author-email: tools@dwavesys.com
License: Apache 2.0
Description: .. image:: https://badge.fury.io/py/dwave-tabu.svg
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            :alt: Last version on PyPI
        
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            :target: https://circleci.com/gh/dwavesystems/dwave-tabu
            :alt: Linux/Mac build status
        
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            :alt: Windows build status
        
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            :alt: Documentation Status
        
        ==========
        dwave-tabu
        ==========
        
        .. index-start-marker
        
        An implementation of the `MST2 multistart tabu search algorithm
        <https://link.springer.com/article/10.1023/B:ANOR.0000039522.58036.68>`_
        for quadratic unconstrained binary optimization (QUBO) problems
        with a `dimod <https://dimod.readthedocs.io/en/latest/>`_ Python wrapper.
        
        .. index-end-marker
        
        Installation or Building
        ========================
        
        .. installation-start-marker
        
        Install from a wheel on PyPI::
        
            pip install dwave-tabu
        
        Alternatively, you can build the library with setuptools. This build requires that
        your system has a C++ compiler toolchain installed, as well as `SWIG <http://www.swig.org/>`_.
        
        .. code-block:: bash
        
            pip install -r requirements.txt
            python setup.py build_ext --inplace
            python setup.py install
        
        .. installation-end-marker
        
        Example
        =======
        
        .. example-start-marker
        
        This example solves a two-variable Ising model.
        
        >>> from tabu import TabuSampler
        >>> response = TabuSampler().sample_ising({'a': -0.5, 'b': 1.0}, {('a', 'b'): -1})
        
        .. example-end-marker
        
Platform: UNKNOWN
Requires-Python: >=3.5
Provides-Extra: test
