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        "author": "Matthew Treinish",
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            "License :: OSI Approved :: Apache Software License",
            "Operating System :: MacOS :: MacOS X",
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            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
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        "description": "retworkx\n========\n\n* You can see the full rendered docs at: https://retworkx.readthedocs.io/en/latest/index.html\n\n\nretworkx is a rust graph library interface to python3. For right now it's scope\nis as an experiment in being a potential replacement for `qiskit-terra`_'s\nnetworkx usage (hence the name). The scope might grow or change over time, but\nto start it's just about building a DAG and operating on it with the performance\nand safety that Rust provides. It is also a personal exercise in learning how\nto interface rust with python.\n\n.. _qiskit-terra: https://github.com/Qiskit/qiskit-terra\n\nInstalling retworkx\n-------------------\n\nretworkx is published on pypi so on x86_64 and i686 Linux systems or x86_64 on\nMac OSX and Windows installing is as simple as running::\n\n  pip install retworkx\n\nThis will install a precompiled version of retworkx into your python\nenvironment.\n\nHowever, if there are no precompiled binaries published for your\nsystem you'll have to compile the code. The source package is also published on\npypi so you can also run the above command to install it. However, there are 2\npreconditions for this to work, first you need to have cargo/rustc **nightly**\nin your PATH. You can use `rustup`_ to make this step simpler. Secondly, you\nneed to have ``setuptools-rust`` installed in your python environment. This can\ncan be done by simply running::\n\n  pip install setuptools-rust\n\nprior to running::\n\n  pip install retworkx\n\nIf you have rust nightly properly installed pip will compile retworkx for your\nlocal system and it should run just as the prebuilt binaries would.\n\n.. _rustup: https://rustup.rs/\n\nBuilding from source\n--------------------\n\nThe first step for building retworkx from source is to clone it locally with::\n\n  git clone https://github.com/mtreinish/retworkx.git\n\nretworkx uses `PyO3`_ and `setuptools-rust`_ to build the python interface.\nUnfortunately, this means you need to use nightly rust because PyO3 only works\nwith nightly at this point. You can use `rustup`_ to install rust nightly.\n\n.. _PyO3: https://github.com/pyo3/pyo3\n.. _setuptools-rust: https://github.com/PyO3/setuptools-rust\n.. _rustup: https://rustup.rs/\n\nOnce you have nightly rust and cargo installed you can easily install retworkx\ninto your python environment using pip. Once you have a local clone of the repo\nyou can install retworkx into your python env with::\n\n  pip install .\n\nAssuming your current working directory is the root of the repo. Otherwise\nyou can run::\n\n  pip install $PATH_TO_REPO_ROOT\n\nwhich will install it the same way. Then retworkx in your local python\nenvironment. There are 2 things to note when doing this though, first if you\ntry to run python from the repo root using this method it will not work as you\nexpect. There is a name conflict in the repo root because of the local python\npackage shim used in building the package. Simply run your python scripts or\nprograms using retworkx outside of the repo root. The second issue is that any\nlocal changes you make to the rust code will not be reflected live in the\npython you'll need to recompile the source by rerunning pip install to have any\nchanges reflected in your python environment.\n\nUsing retworkx\n--------------\n\nOnce you have retworkx installed you can use it by importing retworkx. All\nthe functions and the PyDAG class are off the root of the package. For example,\nbuilding a DAG and adding 2 nodes with an edge between them would be::\n\n    import retworkx\n\n    my_dag = retworkx.PyDAG()\n    # add_node(), add_child(), and add_parent() return the node index\n    # The sole argument here can be any python object\n    root_node = my_dag.add_node(\"MyRoot\")\n    # The second and third arguments can be any python object\n    my_dag.add_child(root_node, \"AChild\", [\"EdgeData\"])\n\n\n",
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