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            "Programming Language :: Python :: 3.9",
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        "description": ".. image:: https://badge.fury.io/py/dwave-hybrid.svg\n    :target: https://badge.fury.io/py/dwave-hybrid\n    :alt: Last version on PyPI\n\n.. image:: https://circleci.com/gh/dwavesystems/dwave-hybrid.svg?style=svg\n    :target: https://circleci.com/gh/dwavesystems/dwave-hybrid\n    :alt: Linux/Mac build status\n\n.. image:: https://ci.appveyor.com/api/projects/status/porqyytww2elwjv8/branch/master?svg=true\n    :target: https://ci.appveyor.com/project/dwave-adtt/dwave-hybrid/branch/master\n    :alt: Windows build status\n\n.. image:: https://img.shields.io/codecov/c/github/dwavesystems/dwave-hybrid/master.svg\n    :target: https://codecov.io/gh/dwavesystems/dwave-hybrid\n    :alt: Code coverage\n\n.. image:: https://readthedocs.com/projects/d-wave-systems-dwave-hybrid/badge/?version=latest\n    :target: https://docs.ocean.dwavesys.com/projects/hybrid/en/latest/\n    :alt: Documentation status\n\n.. image:: https://img.shields.io/pypi/pyversions/dwave-hybrid.svg?style=flat\n    :target: https://pypi.org/project/dwave-hybrid/\n    :alt: PyPI - Python Version\n\n\n=============\nD-Wave Hybrid\n=============\n\n.. index-start-marker\n\nA general, minimal Python framework for building hybrid asynchronous decomposition\nsamplers for quadratic unconstrained binary optimization (QUBO) problems.\n\n*dwave-hybrid* facilitates three aspects of solution development:\n\n*   Hybrid approaches to combining quantum and classical compute resources\n*   Evaluating a portfolio of algorithmic components and problem-decomposition strategies\n*   Experimenting with workflow structures and parameters to obtain the best application results\n\nThe framework enables rapid development and insight into expected performance\nof productized versions of its experimental prototypes.\n\nYour optimized algorithmic components and other contributions to this project are welcome!\n\n.. index-end-marker\n\n\nInstallation or Building\n========================\n\n.. installation-start-marker\n\nInstall from a package on PyPI::\n\n    pip install dwave-hybrid\n\nor from source::\n\n    git clone https://github.com/dwavesystems/dwave-hybrid.git\n    cd dwave-hybrid\n    pip install -r requirements.txt\n    python setup.py install\n\n.. installation-end-marker\n\n\nExample\n=======\n\n.. example-start-marker\n\n.. code-block:: python\n\n    import dimod\n    import hybrid\n\n    # Construct a problem\n    bqm = dimod.BinaryQuadraticModel({}, {'ab': 1, 'bc': -1, 'ca': 1}, 0, dimod.SPIN)\n\n    # Define the workflow\n    iteration = hybrid.RacingBranches(\n        hybrid.InterruptableTabuSampler(),\n        hybrid.EnergyImpactDecomposer(size=2)\n        | hybrid.QPUSubproblemAutoEmbeddingSampler()\n        | hybrid.SplatComposer()\n    ) | hybrid.ArgMin()\n    workflow = hybrid.LoopUntilNoImprovement(iteration, convergence=3)\n\n    # Solve the problem\n    init_state = hybrid.State.from_problem(bqm)\n    final_state = workflow.run(init_state).result()\n\n    # Print results\n    print(\"Solution: sample={.samples.first}\".format(final_state))\n\n\n.. example-end-marker\n\n\nLicense\n=======\n\nReleased under the Apache License 2.0. See `<LICENSE>`_ file.\n\nContributing\n============\n\nOcean's `contributing guide <https://docs.ocean.dwavesys.com/en/stable/contributing.html>`_\nhas guidelines for contributing to Ocean packages.\n\n\n",
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