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        "author": "Andreas Thalhammer",
        "author_email": "andreas@thalhammer.bayern",
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            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Information Analysis"
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        "description": "# danker - Compute PageRank on large graphs with off-the-shelf hardware.\n\n* Standalone with any input graph:\n   ```\n   $ pip install danker\n   $ python -m danker -h\n     usage: python -m danker [-h]\n                             left_sorted [right_sorted] damping iterations\n                             start_value\n\n     danker - Compute PageRank on large graphs with off-the-shelf hardware.\n\n     positional arguments:\n       left_sorted   A two-column, tab-separated file sorted by the left column.\n       right_sorted  The same file as left_sorted but sorted by the right column.\n       damping       PageRank damping factor(between 0 and 1).\n       iterations    Number of PageRank iterations (>0).\n       start_value   PageRank starting value(>0).\n\n     optional arguments:\n       -h, --help    show this help message and exit\n\n   $ wget https://raw.githubusercontent.com/athalhammer/danker/master/test/graphs/test.links\n   $ python -m danker test.links 0.85 30 1\n      1.2.3.4.5.6.7.8.9.10.11.12.13.14.15.16.17.18.19.20.21.22.23.24.25.26.27.28.29.30.\n      Computation of PageRank on 'test.links' with danker took 0.00 seconds.\n      C\t3.1898535044738043\n      B\t3.5572213415705725\n      A\t0.30410528185694391\n      D\t0.36260066319290651\n      F\t0.36260066319290651\n      E\t0.75035528185694389\n      G\t0.15000000000000002\n      H\t0.15000000000000002\n      I\t0.15000000000000002\n      K\t0.15000000000000002\n      L\t0.15000000000000002\n   ```\n\n* As Python library for computing PageRank on large graphs:\n   ```\n   $ pip install danker\n   $ python\n   >>> import danker\n   ```\n   More information on this option can be found at https://danker.rtfd.org.\n\nMore information on the project: [Compute PageRank on the Wikipedia graph](https://github.com/athalhammer/danker)\n\n\n",
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