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        "author": "tskui",
        "author_email": "158@qq.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Win32 (MS Windows)",
            "Framework :: IPython",
            "Intended Audience :: Developers",
            "License :: Public Domain",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation",
            "Topic :: Education :: Testing"
        ],
        "description": "title\n\n    virtual network embdding\n\ninstall method\n\n    pip install vne-sim\n\n=============================\nrun method\n=============================\ninit code\n\n    from VNE_SIM import *\n\n    import VNE_SIM.algorithm as alg\n\n    SNpath='topology\\\\sn\\\\sub100-570.txt'\n\n    vnrpath='topology\\\\newr-2000-0-20-0-25'\n\n    vnrnumber=2000\n\n    timeframe=2000\n\n    mysimulation=simulation(5,1000,SNpath,vnrpath,vnrnumber)\n\ndefine VNE method\n\n    def my_vne_alg(vnr,sn):\n\n         v2sindex=[[v1,s1],[v2,s2],...] //nodes maping scheme\n\n         ve2seindex=[[s1,s2,...],[s1,s2,...],.....]  //edges maping scheme\n\n         return True|False,v2sindex,ve2seindex\n\ncall your algorithm\n\n    mysimulation.init(timeframe)\n\n    mysimulation.simulation_run(EA_VNR.EA_VNR_alg,EA_VNR.EA_VNR_ALG_NAME)\n\ndraw result figure\n\n    mysimulation.draw()\n\n#####################################\n\nzzu@1402\n\n",
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        "maintainer": "",
        "maintainer_email": "",
        "name": "VNE_SIM",
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