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            "Programming Language :: Python :: 2",
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        "description": ".. image:: https://badge.fury.io/py/dwave-cloud-client.svg\n    :target: https://badge.fury.io/py/dwave-cloud-client\n    :alt: Last version on PyPI\n\n.. image:: https://travis-ci.org/dwavesystems/dwave-cloud-client.svg?branch=master\n    :target: https://travis-ci.org/dwavesystems/dwave-cloud-client\n    :alt: Linux/Mac build status\n\n.. image:: https://ci.appveyor.com/api/projects/status/6a2wjq9xtgtr2t2c/branch/master?svg=true\n    :target: https://ci.appveyor.com/project/dwave-adtt/dwave-cloud-client/branch/master\n    :alt: Windows build status\n\n.. image:: https://coveralls.io/repos/github/dwavesystems/dwave-cloud-client/badge.svg?branch=master\n    :target: https://coveralls.io/github/dwavesystems/dwave-cloud-client?branch=master\n    :alt: Coverage report\n\n.. image:: https://readthedocs.com/projects/d-wave-systems-dwave-cloud-client/badge/?version=latest\n    :target: https://docs.ocean.dwavesys.com/projects/cloud-client/en/latest/?badge=latest\n    :alt: Documentation Status\n\n.. index-start-marker\n\nD-Wave Cloud Client\n===================\n\nD-Wave Cloud Client is a minimal implementation of the REST interface used to\ncommunicate with D-Wave Sampler API (SAPI) servers.\n\nSAPI is an application layer built to provide resource discovery, permissions,\nand scheduling for quantum annealing resources at D-Wave Systems.\nThis package provides a minimal Python interface to that layer without\ncompromising the quality of interactions and workflow.\n\nExample\n-------\n\nThis example instantiates a D-Wave Cloud Client and solver based on the local\nsystem`s auto-detected default configuration file and samples a random Ising problem\ntailored to fit the solver`s graph.\n\n.. code-block:: python\n\n    import random\n    from dwave.cloud import Client\n\n    # Connect using the default or environment connection information\n    with Client.from_config() as client:\n\n        # Load the default solver\n        solver = client.get_solver()\n\n        # Build a random Ising model to exactly fit the graph the solver supports\n        linear = {index: random.choice([-1, 1]) for index in solver.nodes}\n        quad = {key: random.choice([-1, 1]) for key in solver.undirected_edges}\n\n        # Send the problem for sampling, include solver-specific parameter 'num_reads'\n        computation = solver.sample_ising(linear, quad, num_reads=100)\n\n        # Print the first sample out of a hundred\n        print(computation.samples[0])\n\n.. index-end-marker\n\n\nInstallation\n------------\n\n.. installation-start-marker\n\nCompatible with Python 2 and 3:\n\n.. code-block:: bash\n\n    pip install dwave-cloud-client\n\nTo install from source (available on GitHub in `dwavesystems/dwave-cloud-client`_ repo):\n\n.. code-block:: bash\n\n    pip install -r requirements.txt\n    python setup.py install\n\n.. _`dwavesystems/dwave-cloud-client`: https://github.com/dwavesystems/dwave-cloud-client\n\n.. installation-end-marker\n\n\nLicense\n-------\n\nReleased under the Apache License 2.0. See `<LICENSE>`_ file.\n\n\nContribution\n------------\n\nSee `<CONTRIBUTING.rst>`_ file.\n\n\n",
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