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        "author": "Mikio Kubo",
        "author_email": "kubomikio@gmail.com",
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            "Development Status :: 1 - Planning",
            "License :: OSI Approved :: Python Software Foundation License",
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            "Topic :: Software Development"
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        "description": "Myopenopt is a wrapper module for openopt. It supports to call openopt using the same functions and classes as in Gurobi, a commercial mixed integer optimization solver.\nFor more details, see the Gurobi HP http://www.gurobi.com/.\n::\n\n    from myopenopt import *\n    model = Model(\"sample\", mtype='NLP')\n    x1 = model.addVar(vtype=\"C\", name=\"x1\")\n    x2 = model.addVar(vtype=\"C\", name=\"x2\")\n    x3 = model.addVar(vtype=\"C\", ub=10, name=\"x3\")\n    model.update()\n    c1 = model.addConstr(x1**2 + 2*x2**2 <= x3**2, name=\"C1\")\n    c2 = model.addConstr(x3 <= 30, name=\"C2\")\n    c3 = model.addConstr(quicksum([x1, x2, x3]) <= 20, name=\"C3\" )    \n    model.setObjective(15*x1 + 18*x2 + 30*x3, GRB.MAXIMIZE)\n    print(model)\n    model.optimize(solver=\"ralg\")\n    print(\"Result =\", model.Status)\n    for v in model.getVars():\n        print(v.VarName, v.X)\n\nRequirements\n------------\n* Python 2 or Python 3 and openopt, FuncDesigner\n\nFeatures\n--------\n* nothing\n\nSetup\n-----\n::\n\n   Add compiler path(ex. C:\\Anaconda3\\MinGW\bin)\n   $ pip install openopt\n   $ pip install FuncDesigner\n   $ pip install myopenopt\n\nHistory\n-------\n0.0.1 (2015-5-4)\n~~~~~~~~~~~~~~~~~~\n* first release",
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