new synthetic data

if __name__ == "__main__":

    dh = DataHandler()

    dh.read_network("networks/network1.csv")

    dh.read_network("networks/network2.csv")

    dh.generate_real_data([50, 50])

    dh.read_network("networks/network3.csv")

    dh.generate_real_data([500, 500])

    # are sent to Pipes to terminate the iterations in every process.

    try:

        """ Define initial variables """

        iteration = 0

        n = len(indexes)

        if last:

        thetas_pre = []

        final_thetas = {}

        dimension = np.shape(thetas[0])[0]

        """ Compute offline the multiplication coefficients used in Z1Z2 update

            of perturbed node penalty """

        if pen_func == "perturbed_node":

            c = np.zeros((dimension, 3*dimension))

            c[:, 0:dimension] = np.eye(dimension)

            c[:, dimension:2*dimension] = -np.eye(dimension)

            c[:, 2*dimension:3*dimension] = np.eye(dimension)

            ct = c.transpose()

            cc = np.linalg.inv(np.dot(ct, c) + 2*np.eye(3*dimension))

        """ Run ADMM algorithm """

        while iteration < MAX_ITER:

            """ Send last Z2, U2 values to next process,

# Unidirectional network

# Perturbed node (6) from network1

# Weight for edge between same nodes is 1 by default

# First node,Second node,Weight

1,2,0.5

2,3,0.25

2,4,0.25

3,5,0.5

3,7,0.25

4,6,0.25

6,7,0.25

6,10,0.5

6,15,0.3

7,8,0.25

8,10,0.5

9,10,0.25

9,11,0.5

9,12,0.25

11,13,0.5

12,13,0.5

13,14,0.25

14,15,0.5

14,16,0.25

14,18,0.25

16,17,0.5

18,19,0.25

19,20,0.5

    """ Initialize ADMM algorithm """

    dimension = np.shape(theta)[0]

    nju = beta/(2*rho)

    y1 = np.ones((dimension, dimension))

    y2 = np.ones((dimension, dimension))

    v = np.ones((dimension, dimension))

        a = (y1 - y2 - w - uu1 + (w.transpose() - uu2).transpose())/2

        """ V Update """

        e = np.zeros((dimension, dimension))

        for j in range(dimension):

            l2_norm = np.linalg.norm(a[:, j])

            if l2_norm > nju:

                e[:, j] = (1 - nju/l2_norm)*a[:, j]

        v = e

        v = group_lasso(a, beta, rho)

        """ W, Y1, Y2 Update """

        b = np.zeros((3*dimension, dimension))

# Data generated from networks:

# networks/network1.csv: 50, networks/network2.csv: 50

3.0151,-1.1391,1.2447,-0.5439,-0.2115,-0.3935,-1.1375,0.4573,0.9788,-0.7244,-1.2786,-0.8924,0.5371,-1.4307,0.8684,0.5424,-1.7937,0.3935,-1.2992,0.6500

1.7641,-1.4515,0.7978,-0.3377,-1.6728,-1.0133,-0.5962,-2.2159,-1.0463,2.1141,1.0509,-0.2123,0.9599,-0.7532,1.9039,1.2522,-2.1187,-1.0816,2.0453,-1.4099

0.4151,0.0541,-0.8671,-0.7307,0.8388,0.3908,1.2999,2.1336,-4.0383,-1.4645,3.2402,1.7887,-2.8717,3.1879,-2.9044,-0.5726,0.5865,-2.3659,-0.4307,2.1870

-0.7673,0.2701,1.4540,0.4542,-1.7552,-0.2413,1.0930,-2.0280,1.4553,1.3540,2.0155,1.0993,-1.8012,1.7108,-0.7818,-1.3462,0.7225,0.8021,-1.1873,2.1104

0.3784,1.3082,-1.7453,-0.6959,0.0460,0.4794,0.8683,-2.0189,-1.1379,-0.3916,2.3043,1.3990,-0.1379,-1.3787,2.4140,-0.2737,0.4568,-0.8655,0.0734,-0.5537

1.7773,-1.5638,0.0133,0.5243,-0.7746,-0.4915,0.1688,1.1692,0.7679,-0.3075,-2.1359,-3.4096,1.7851,-2.3459,1.2832,1.7708,-1.9158,1.6849,-0.0066,0.3398

-1.3568,1.8398,-0.8535,-0.3566,-0.1165,-1.5326,0.3287,-1.2687,-1.3853,0.5692,1.4417,3.0056,-2.9968,0.8779,0.4617,-1.4158,0.4035,-0.0913,1.8902,-1.0184

-0.1334,-1.4157,0.7704,-0.3367,-1.1694,0.2068,0.8019,0.5092,-2.0332,-1.3973,-0.5602,1.0713,-2.3579,1.5455,0.1713,-1.4643,0.3943,-1.2482,1.4602,-1.4999

0.4752,0.7880,-2.3139,-0.6138,2.1732,-2.1925,1.2126,0.7352,-0.0497,0.8672,-0.8329,-0.2919,-0.6245,0.2358,0.9175,1.6473,-1.4556,-0.7015,-0.2717,-0.5969

2.5698,-2.4158,2.3864,0.7355,-2.7011,0.6036,-3.5229,2.3529,2.7321,-3.5248,-2.3394,-1.7586,2.8268,-2.6714,2.0987,0.7061,-0.7232,1.5194,-2.2045,1.2883

-2.1270,2.3176,-1.4132,-0.6684,-0.0635,1.3898,-1.0054,0.5151,-1.7903,1.7627,1.9269,0.5106,-0.9318,2.0214,-2.3374,-1.4718,1.1388,-0.4904,-1.3375,-0.1489

-2.6870,3.5460,-1.6431,-0.0516,1.6658,-0.3561,-0.0175,0.8095,1.6434,-0.0304,-3.5880,-2.0335,4.7957,-1.1493,0.2040,-0.8512,1.5024,0.6430,0.0150,0.8891

-0.2941,-1.2458,1.5015,0.8312,0.0734,0.9913,-0.2675,0.2527,1.3789,-1.1323,0.7902,-2.7534,1.3193,-2.1377,1.7687,1.8577,-1.1774,-0.9069,-2.0985,0.5163

-0.2801,1.4941,-2.5805,-0.2331,0.9805,1.2234,0.3223,-1.8523,-0.3209,1.5908,1.0107,-0.7092,1.3080,0.4927,-1.8094,-2.4642,0.8897,-1.2060,-0.6767,-0.1650

0.6220,-1.6722,1.0636,0.7710,-0.6140,1.3512,-1.0399,1.1479,-1.3292,0.0396,2.1163,2.3558,-2.2756,-0.2060,-0.0201,2.0160,-0.1686,-0.7806,0.5765,1.0156

-0.0452,0.8428,1.5410,0.3071,-0.4652,1.2404,0.0483,1.5473,-0.4945,-1.2633,-1.5896,0.3089,0.5586,0.5971,0.5809,3.4592,-0.8568,-0.0626,-1.0282,-1.2233

-0.3156,0.8052,-1.0635,-2.1198,0.5756,-0.2082,1.4006,0.4688,-1.7436,0.9143,3.2619,0.1025,-2.9544,1.3206,-0.1722,-1.4360,0.1193,-2.2404,1.4063,-2.1430

-0.7806,0.3452,0.6338,-1.6415,2.6573,-0.4041,-1.7699,0.7486,1.1214,-0.8427,0.6019,1.3939,-3.2990,2.2294,-0.7263,-0.8775,-0.3368,-0.5820,-0.2815,0.3738

-1.3970,1.4130,-0.7722,0.1678,-1.9040,-0.2298,0.4921,-0.6511,-0.3638,-0.1695,1.2967,-1.2460,-0.1534,0.8122,-1.3685,-0.2736,0.5108,-0.4038,1.0464,-0.7700

-0.8592,0.6266,0.6375,-0.1310,2.1354,-0.5853,-0.4497,0.5019,-1.4817,0.1274,0.8307,1.1173,-0.5934,-1.6678,1.4628,1.6972,-1.8277,-0.4953,-0.3409,0.2467

0.1117,0.8121,0.0957,-0.6082,-1.2761,1.9178,0.2370,-0.2289,4.6453,0.3892,-4.2664,-3.2123,4.8585,-1.7772,2.0972,1.6396,0.0103,0.6307,1.0194,1.3025

1.3746,-1.0967,0.9892,-0.4311,0.2547,0.8618,-1.4286,-0.1190,-0.3369,1.3232,0.5007,0.2937,0.5006,-0.5199,-1.2983,-0.3170,-2.6983,0.8637,1.8565,-0.0839

0.1205,-1.8059,2.2052,1.1202,-2.2004,1.4145,-0.7683,0.1233,2.9648,-0.9532,-1.7879,-1.7671,3.4648,-0.5464,0.0847,1.4872,-0.6886,-0.1978,-0.0304,0.4902

0.5547,-0.1889,0.7308,-0.1454,-0.1188,-0.2420,-0.9902,0.5222,1.7696,-1.0657,-3.2320,-0.5149,0.4300,-0.8962,-0.4919,1.9274,0.3406,0.7237,0.9498,-0.6334

0.7567,0.1875,-0.9237,-0.7531,0.3924,0.2566,-0.0614,-1.8019,-3.3961,-0.4296,5.0525,2.5562,-4.9251,3.3820,-1.4292,-1.0136,-0.5002,-0.0095,-1.0592,-1.9152

0.3497,-0.1942,-1.0894,1.0001,-0.1051,-0.8823,-0.5307,1.8879,-0.6233,0.0050,3.7832,1.4130,-4.1184,0.8142,-1.2192,-0.3550,0.4588,1.0731,0.0592,1.5386

1.5204,0.2551,2.7558,0.3000,-3.1565,1.2946,-1.6831,1.8944,3.0005,-0.9129,-2.5421,-0.8964,2.4854,0.4942,-2.1561,1.1907,-0.6191,-0.9649,0.0414,-2.2389

0.8398,-2.9078,2.4290,1.3874,-1.2946,-0.3381,-1.3340,-0.2989,1.8229,-2.4594,-0.6243,-1.9116,1.3338,2.9537,-1.6358,-0.3730,0.1832,-0.4126,0.8501,0.8698

-0.6301,0.3040,-1.9468,0.3509,1.5974,-0.6213,-0.5205,0.9493,0.6161,-0.4073,0.6001,0.9375,1.2806,-3.2960,1.6098,2.2951,-0.5649,1.3619,-1.3466,3.5160

0.7074,-0.7084,-1.8965,1.3578,1.7495,-0.0888,0.1906,-1.0107,-0.3653,-0.0073,-1.0700,0.6633,-0.0943,1.9186,-0.4938,1.3827,-0.7205,-1.7088,2.1366,-1.9331

0.5696,-0.3175,-0.4682,0.9872,-0.7797,2.7273,1.0567,-0.8184,3.3787,-0.9900,-2.0964,-2.7066,3.0199,-0.2199,-0.9741,1.7092,-0.4887,0.4619,-0.4558,1.4180

-0.5768,0.8013,-3.0986,0.0301,1.2640,0.6584,2.3492,-2.0091,0.5912,0.0989,-0.9116,-1.4601,0.8345,-1.7887,-0.8612,1.6167,0.5862,-1.4166,0.6808,-1.5147

-1.1761,0.7971,-0.8343,1.0907,0.3236,0.7097,2.1173,-0.9560,0.8248,0.1702,-0.7284,0.6799,-0.1603,-0.0812,1.2748,0.0595,0.2611,-1.2896,0.3398,1.2062

0.1589,0.2924,-0.5913,0.0397,2.4143,1.1087,-1.1028,0.1576,2.9578,-0.2673,-4.0230,-4.3896,5.2554,-1.8735,1.4121,0.8913,-0.0802,0.9061,-2.3441,2.5681

-0.2139,-2.9301,3.4470,1.4711,-0.6782,-1.0878,-0.7957,0.6601,-0.0741,-0.3902,-0.3395,-0.2086,-1.2907,1.4699,0.0471,0.6164,-0.0256,-1.8514,1.7820,-0.6275

1.1638,-0.6706,-0.2500,-0.6071,-1.0964,1.1130,0.3180,0.1492,-1.3951,-0.6702,0.3986,1.7012,-0.5557,-0.5022,0.3704,-0.7295,1.5729,-1.7686,-0.8407,1.7572

0.7703,1.5552,-1.0004,-0.2742,-0.0809,-0.9484,-1.7749,0.2994,0.2801,-1.3733,0.9757,-0.9507,1.4338,-2.5890,1.5172,1.1261,0.7403,-1.0857,0.5362,0.3010

-2.3616,-0.2452,1.8886,-0.6520,-0.4866,1.2847,-1.1928,1.0520,-2.7960,0.6896,3.3935,2.1986,-4.2500,2.0406,-1.7365,-0.1871,0.3414,-1.4147,3.0342,-0.6460

-0.7232,3.1574,-0.5412,-1.5888,1.2247,-0.8376,-0.4441,1.1819,1.3565,1.2495,-4.2699,-2.8863,5.0714,-3.0114,1.8828,-0.4976,0.4737,1.9366,-2.1908,1.4062

-0.6115,1.6302,-0.6571,0.2240,-0.6847,0.3014,-1.5712,2.5225,-0.1379,-2.1694,0.4801,0.9649,-1.4614,-1.2966,0.6396,0.6048,0.6758,-1.0505,0.4676,-0.3490

-1.4612,0.8563,0.4300,-2.0957,-0.2295,0.8648,-0.4490,1.7659,-0.5875,0.7245,-1.5267,-2.2818,2.7029,-2.5581,1.6459,-0.1917,1.2595,0.6596,-0.4548,-0.4683

1.0134,0.6600,0.0374,2.7404,-0.3331,0.6419,0.1755,-1.5331,1.0059,1.9402,-0.6999,0.1335,0.3629,2.0143,-0.5975,-0.6852,-0.8582,-0.1896,1.8396,-1.4909

-0.2998,1.0290,0.8781,0.4952,0.1163,-0.6951,-2.3018,-2.1113,-4.8218,2.3120,3.5838,2.5012,-1.5337,1.6203,0.2852,-0.8874,-0.1724,-0.7102,0.0008,0.8365

-0.5826,-1.0682,1.8898,-0.2037,-1.8803,1.0309,-3.0568,0.8438,0.9920,0.4574,-1.9524,-2.9003,2.8371,-1.9112,3.2848,2.3359,0.1809,1.6796,2.6674,-1.7432

0.6689,0.1315,-0.0563,-0.4244,-0.3312,-1.2201,0.6530,-1.8001,-0.7706,0.7053,1.1060,-0.6648,-2.2307,-0.0174,-1.1615,0.8034,-0.6800,1.8780,0.5687,-1.3783

0.5444,-1.7688,0.9995,0.5219,-0.2504,0.2649,1.2746,-0.1490,2.4131,0.1153,-2.1738,-3.0083,1.1418,0.2296,0.1436,-0.6023,0.3492,0.1396,-1.1306,1.4378

3.4320,0.3843,-0.5625,0.2052,1.0090,1.4016,0.8952,1.0560,-2.2210,1.4775,0.8855,1.1744,-3.4079,1.2065,0.2968,-1.0352,0.5239,-0.3132,-0.1144,0.6262

2.1422,-0.8730,1.9750,-1.2719,-1.4557,0.3124,0.3321,-2.1416,-1.5825,1.6844,0.3915,-1.2564,0.7751,-0.5046,0.2173,0.1047,0.5977,1.1263,-0.6849,0.9765

-0.7715,0.8816,1.0811,0.7135,2.1968,-0.5740,-2.0628,-0.9806,1.4041,0.2464,0.5596,-1.6457,1.8398,-0.0816,0.4851,-1.7664,0.1693,1.1581,-1.0709,0.2473

0.9915,-3.5908,-0.3556,0.3543,1.0344,1.5204,0.1431,1.5568,-0.0563,-1.2126,-0.4549,-0.1193,-2.3689,-1.7591,0.6743,2.0794,-1.5579,0.4286,-0.7278,0.8306

1.1949,-0.0223,-1.2467,1.2526,-1.3502,0.6281,1.2493,-0.6822,-2.3994,-3.3231,1.8289,0.5105,-1.0076,1.2140,3.0059,0.7997,-1.3771,-0.3675,2.1602,0.5202

-3.0940,-2.3997,-5.7360,1.6915,2.0861,-0.8524,0.9813,1.7077,1.5247,1.5218,2.0942,5.7943,-0.6764,-0.3494,2.3865,-2.1558,2.1362,0.0087,-1.0969,-1.5508

-4.5437,-1.1746,-9.5238,-1.4119,1.4704,-0.0812,1.4850,-0.8044,2.3703,-1.6884,4.5890,6.8597,0.2059,0.0472,4.6604,-1.7300,4.9094,-1.3523,0.4458,1.0728

-0.6139,-1.6479,-0.4660,0.1763,-3.0816,-0.6931,-0.7348,1.3623,0.1543,-1.8445,1.1132,0.9878,2.4736,0.1623,-2.1129,1.2705,-0.3324,0.2754,0.9989,0.6473

-1.8551,0.4767,-3.2765,0.2529,-1.4996,-0.8521,1.0802,-0.8012,0.0272,0.9223,3.1526,3.5803,0.5102,0.7705,2.5373,1.0702,0.0003,-0.1969,1.4973,-0.8113

-2.3156,-0.4440,-1.6878,0.3583,0.3732,-1.2026,-2.3628,1.3854,2.2837,-0.6099,1.4254,2.5898,-0.0183,-1.0182,1.8820,-0.1552,-0.6224,-0.5902,0.7159,-2.6680

-2.1600,-1.1083,-0.7964,0.5168,-1.2482,-0.5250,-0.1795,-0.8127,3.3195,0.2613,-0.8209,0.6291,0.9900,1.4131,-0.7168,-0.7626,-0.2008,-1.2049,-1.1170,-0.7454

1.7005,0.5164,3.1531,-1.3713,1.6668,0.1862,-2.1782,3.1990,-2.4682,0.6744,-1.0723,-1.7985,1.2536,-0.8943,-3.7127,0.6044,-2.1544,0.5540,-1.6121,-1.4404

3.4848,-0.1560,4.3283,-0.5528,1.7465,0.5266,-0.7715,-2.1096,-2.8113,-0.1921,-4.2150,-4.9424,0.0992,-2.8916,-2.9499,-1.6588,-1.1867,0.7142,0.8088,2.4511

-2.0380,-0.0849,0.9133,-1.5572,0.0376,-0.7821,1.1311,1.3861,0.1395,0.6658,1.3748,1.1451,0.9579,-1.6919,-0.9967,-1.7158,0.4250,0.8571,1.0585,-1.9237

-4.3856,0.0431,-5.8717,0.8027,0.5572,0.4732,-0.6865,0.1631,2.8560,-1.0382,0.8605,4.4582,0.9422,-1.1218,2.1124,0.0674,2.1141,-0.8637,2.1129,0.9586

-3.3043,-1.0355,-2.5864,0.3424,-3.6024,-2.3068,-0.5812,-1.9176,1.8464,-0.5841,0.9276,3.0962,-2.1484,2.6127,1.2063,1.1641,0.9604,0.1710,0.6852,2.2817

-1.9142,-1.3518,-7.9083,0.6828,-0.6764,-0.6673,1.1843,-1.0079,1.7996,-1.8031,3.3486,4.3747,0.1918,1.1935,3.5051,-1.6228,2.8204,0.2721,1.7592,-0.3719

-1.5165,-1.1089,1.2748,-0.4192,0.3894,-2.0065,0.4437,-0.2182,1.3656,1.1469,-0.2445,-0.0593,0.3489,0.9921,-2.5734,-0.4687,1.7366,-1.2694,1.8582,0.7384

-3.5818,1.5731,0.7163,-1.4932,-2.3293,-0.8227,-0.7354,-3.8952,0.9392,-1.5851,0.7630,2.8039,1.4909,1.1949,-0.3704,-0.3795,0.0989,-0.8795,-0.2977,1.8499

-2.7040,0.5190,-3.3469,-1.1160,1.3959,1.7246,-0.2321,1.5104,1.0659,-0.9335,1.1870,2.1907,-0.9733,-2.3039,1.8236,1.2239,-1.0032,-1.2063,0.3898,0.1150

-3.1379,0.8258,-4.2640,-0.3230,0.9167,-1.6269,0.7052,2.5614,4.1796,-0.0816,0.3257,4.9888,-0.2376,-1.4435,0.8496,-1.0257,0.7102,-2.8801,-0.3292,-1.3879

-2.1089,-0.0878,-1.1600,0.1126,-0.5877,-1.8201,-0.1761,-3.3018,-0.0022,0.0913,0.6370,1.1831,-2.2944,1.2702,1.4287,-0.7203,-1.5851,1.6634,1.1626,1.4090

-2.0043,-0.4982,-1.6499,0.5773,-2.1175,0.9925,-2.6734,-1.8060,0.8683,0.3269,-0.5344,1.2772,0.0468,2.2078,0.5436,3.2593,-0.0878,1.5229,-1.4540,2.0876

0.6488,0.3612,2.9630,0.3798,-1.0079,-0.9500,-0.1680,-1.2305,-0.7624,-0.3743,-1.7553,-2.3284,0.0354,0.0714,-2.7522,-0.8505,-1.4859,0.0509,-0.5534,1.0105

0.6160,0.3392,2.0494,1.9703,1.3461,0.7108,0.3400,0.1890,-0.4222,-0.3493,-0.3614,-0.0318,-1.5197,0.3508,-0.8706,-0.4229,-0.4107,-1.0981,2.5454,0.9948

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