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        "author": "Coloring Graphs lab, Univeristy of Richmond",
        "author_email": "aalok.sathe@richmond.edu",
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        "classifiers": [
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "## coloring-graphs\n[![pipeline status](https://aalok-sathe.gitlab.io/coloring-graphs/build.svg?v=1754377482206216982)](https://gitlab.com/aalok-sathe/coloring-graphs/)\n\na coloring graphs library written in C++ for speedy computation and wrapped in\nPython for ease of development and extension!\n\n### what\nthis library provides support to construct graphs, their coloring graphs, and\nbiconnected component metagraphs.\na coloring graph is a graph representing all the valid colorings of a graph.\neach vertex of a coloring graph represents a coloring of the base graph.\ntwo colorings are considered adjacent if they differ in only one vertex's color.\n\nin this project, we represent a coloring as an integer, which, when converted to\nbase k (for a k-coloring), is a number of length |V| and represents the vertex-wise\ncolors [0,k) for each vertex.\n\nthe library is under development, being written using Python and C/C++.\nthe web application uses the library to provide useful GUI for quick drawing and\ngraph construction.\nin the future, we plan to develop a supplemental subsection of the library containing\nuseful graph algorithms and ability to run simulations to test structural graph theoretic\nconjectures about graph coloring and coloring graphs.\nfor documentation, feel free to take a look inside `libcolgraph/` and read the docstrings.\nfor questions, reach out.\n\n### screenshot of the web GUI\n\n  [Clockwise]\n  A 7 vertex BaseGraph that is a hexagon with a central vertex and a missing 'spoke'\n  leads to a quite complex ColoringGraph with k=4 colors. You can see the formation of\n  polyps at the edges. The structure of the resultant ColoringGraph is shown in the\n  Meta ColoringGraph produced by a run of modified Tarjan's algorithm for biconnected\n  components. The central 'mothership' can be seen, adjacent to which there are cut\n  vertices, and finally the stray singular coloring vertices at the tips of polyps.\n\n  <img src=\"https://i.imgur.com/TusisoA.png\" />\n\n  for a static demo, go to the project's [gitlab pages](https://aalok-sathe.gitlab.io/coloring-graphs/index.html). \n\n### usage\n- as a module\n\n  plot a BaseGraph, its ColoringGraph, and the Meta\n  ColoringGraph generated by Tarjans. you would need to\n  have a graph formatted in an adjacency matrix file.\n  opens plots in new browser windows.\n\n  basic usage:\n  ```\n    colgraphplot [INPUT_GRAPH]\n    ---\n      usage: colgraphplot [-h] [-k COLORS] [-v] [--no-bg] [--no-cg] [--no-mbg]\n                     [--no-mcg]\n                     INPUT_GRAPH\n\n      positional arguments:\n        INPUT_GRAPH           read in BaseGraph from adjacency matrix file\n\n      optional arguments:\n        -h, --help            show this help message and exit\n        -k COLORS, --colors COLORS\n                              number of colors to use to create ColoringGraph [default: 3]\n        -v, --verbosity       set output verbosity\n        --no-bg               hide BaseGraph?\n        --no-cg               hide ColoringGraph?\n        --no-mbg              hide meta BaseGraph?\n        --no-mcg              hide meta ColoringGraph?\n  ```\n\n  launch web GUI:\n  ```\n    colgraphweb\n    ---\n      usage: colgraphweb [-h] [-i INPUT_FILE] [-k COLORS] [-n] [-v] [-p PORT]\n\n      optional arguments:\n      -h, --help            show this help message and exit\n      -i INPUT_FILE, --input-file INPUT_FILE\n                            read in BaseGraph from adjacency matrix file\n      -k COLORS, --colors COLORS\n                            number of colors to use to create ColoringGraph [default: 3]\n      -n, --new             open a blank canvas?\n      -v, --verbosity       set output verbosity\n      -p PORT, --port PORT  port on localhost to launch GUI on [default: 5000]\n  ```\n\n\n\n- as a library\n\n    ```python\n    import libcolgraph\n\n    bg = libcolgraph.BaseGraph()\n    bg.load_txt('./in/hexmod.in')\n\n    cg = bg.build_coloring_graph(4)\n\n    print('bg {} led to a cg {}'.format(bg, cg))\n\n    for v in cg.get_vertices():\n        # do something\n        pass\n    ```\n\n\n### installation\n\n- for installation from source\n    refer to [detailed install instructions](INSTALL.md)\n\n\n- [pypi](https://pypi.org/project/libcolgraph/)\n\n    ```bash\n    python3 -m pip install libcolgraph [--user] [--upgrade]\n    ```\n\n    things to note:\n    - currently a binary wheel is available only for [`manylinux`](https://www.python.org/dev/peps/pep-0513/)\n      distributions e.g. centOS, Debian family, RedHat family, etc.\n    - if your distribution is not `manylinux`-supported, then pip\n      will need to compile locally using `swig` and `setuptools`.\n      in that case, make sure you have `setuptools` and\n      [swig](http://www.swig.org/download.html) installed, as they\n      will be needed for compilation.\n    - in the future we will release wheels for MacOS as well. these\n      might not be as frequently maintained, however, so your best\n      bet would be to compile locally using `swig`.\n\n\n### contribute\n\nsee [contributing guide](CONTRIBUTING.md)\n\n### help\n\nfull documentation coming soon\n\n\n### who\n\nColoring Graphs lab, University of Richmond. Multiple contributors.\n(C) 2017-2019",
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