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        "author": "Jonathan S. Prieto",
        "author_email": "prieto.jona@gmail.com",
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        "description": "Evidence Theory\n===============\n\nA Python Library to attack the problem of **Fusion Information**.\nDempster-Shafer Theory implemention is our first goal.\n\n| Install:\n| \\_\\_\\_\\_\\_\\_\\_\\_\n\n::\n\n        pip install evidencetheory\n\nUsage:\n------\n\n::\n\n        from evidence.theory import dst # load dempster-shafer functions\n        from evidenec.tests.assets import INPUT\n        print INPUT['bba1'] # path for the bba example\n\nKnowing the format of file ``bba1``:\n\n::\n\n        bba = []\n        with open(INPUT['bba1'], 'r') as f:\n            N = int(f.readline())\n            for _  in range(N):\n                bba += [ float(f.readline()) ]\n        print bba # verify a table with values between 0 and 1 \n\nWe want to get a Belief function ``Bel`` from a table ``bba`` (basic\nbelief assignament function), so the following is how to do that:\n\n::\n\n        bel1 = dst.Bel(m=bba)\n        for i in range(1<<len(bba)):\n            print bel1(A=i) # i is a set represents in binary form.\n\nFor now, please review code in ``evidence.theory.dst``.",
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