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        "description": ".. image:: https://img.shields.io/pypi/v/pyqubo.svg\n    :target: https://pypi.python.org/pypi/pyqubo\n\n.. image:: https://codecov.io/gh/recruit-communications/pyqubo/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/recruit-communications/pyqubo\n\n.. image:: https://readthedocs.org/projects/pyqubo/badge/?version=latest\n    :target: http://pyqubo.readthedocs.io/en/latest/?badge=latest\n\n.. image:: https://circleci.com/gh/recruit-communications/pyqubo.svg?style=svg\n    :target: https://circleci.com/gh/recruit-communications/pyqubo\n\n\n.. index-start-marker1\n\nPyQUBO\n======\n\nPyQUBO allows you to create QUBOs or Ising models from flexible mathematical expressions easily.\nSome of the features of PyQUBO are\n\n* **Python-based**.\n* **QUBO generation (compile) is fast.**\n* **Automatic validation of constraints.** (`details <https://pyqubo.readthedocs.io/en/latest/getting_started.html#validation-of-constraints>`__)\n* **Placeholder** for parameter tuning. (`details <https://pyqubo.readthedocs.io/en/latest/getting_started.html#placeholder>`__)\n\nFor more details, see `PyQUBO Documentation <https://pyqubo.readthedocs.io/>`_.\n\nExample Usage\n-------------\n\nThis example constructs a simple expression and compile it to ``model``.\nBy calling ``model.to_qubo()``, we get the resulting QUBO.\n(This example solves `Number Partitioning Problem <https://en.wikipedia.org/wiki/Partition_problem>`_ with a set S = {4, 2, 7, 1})\n\n>>> from pyqubo import Spin\n>>> s1, s2, s3, s4 = Spin(\"s1\"), Spin(\"s2\"), Spin(\"s3\"), Spin(\"s4\")\n>>> H = (4*s1 + 2*s2 + 7*s3 + s4)**2\n>>> model = H.compile()\n>>> qubo, offset = model.to_qubo()\n>>> pprint(qubo)\n{('s1', 's1'): -160.0,\n ('s1', 's2'): 64.0,\n ('s1', 's3'): 224.0,\n ('s1', 's4'): 32.0,\n ('s2', 's2'): -96.0,\n ('s2', 's3'): 112.0,\n ('s2', 's4'): 16.0,\n ('s3', 's3'): -196.0,\n ('s3', 's4'): 56.0,\n ('s4', 's4'): -52.0}\n\nFor more examples, see `example notebooks <https://github.com/recruit-communications/pyqubo/tree/master/notebooks>`_.\n\nInstallation\n------------\n\n.. code-block:: shell\n\n    pip install pyqubo\n\nor\n\n.. code-block:: shell\n\n    python setup.py install\n\nSupported Python Versions\n-------------------------\n\nPython 2.7, 3.4, 3.5, 3.6 and 3.7 are supported.\n\n.. index-end-marker1\n\nTest\n----\n\nRun all tests.\n\n.. code-block:: shell\n\n    python -m unittest discover test\n\nShow coverage report.\n\n.. code-block:: shell\n\n    coverage run -m unittest discover\n    coverage html\n\nRun test with circleci CLI.\n\n.. code-block:: shell\n\n    circleci build --job $JOBNAME\n\nRun doctest.\n\n.. code-block:: shell\n\n    make doctest\n\nCitation\n--------\n\nIf you use PyQUBO in your research, please cite `this paper <https://journals.jps.jp/doi/full/10.7566/JPSJ.88.061010>`_.\n\n::\n\n    @article{tanahashi2019application,\n      title={Application of Ising Machines and a Software Development for Ising Machines},\n      author={Tanahashi, Kotaro and Takayanagi, Shinichi and Motohashi, Tomomitsu and Tanaka, Shu},\n      journal={Journal of the Physical Society of Japan},\n      volume={88},\n      number={6},\n      pages={061010},\n      year={2019},\n      publisher={The Physical Society of Japan}\n    }\n\n\nOrganization\n------------\n\nRecruit Communications Co., Ltd.\n\nLicence\n-------\n\nReleased under the Apache License 2.0.\n\nContribution\n------------\n\nWe welcome contributions to this project. See `CONTRIBUTING <./CONTRIBUTING.rst>`_.",
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