# Size of Some Parameters:
101	10	200	25	1	16	63	21	3	

# Data Matrix:
1.0 1.0 0.0 0.0 40.0 50.0 0.0 0.0 0.0 1236.0 
2.0 1.0 0.0 74.0 53.0 35.0 90.0 0.0 0.0 1236.0 
2.0 2.0 0.0 59.0 38.0 15.0 90.0 0.0 0.0 1236.0 
2.0 3.0 0.0 79.0 87.0 30.0 90.0 0.0 0.0 1236.0 
2.0 4.0 0.0 12.0 25.0 85.0 90.0 0.0 0.0 1236.0 
2.0 5.0 0.0 35.0 5.0 35.0 90.0 0.0 0.0 1236.0 
2.0 6.0 0.0 69.0 45.0 35.0 90.0 0.0 0.0 1236.0 
2.0 7.0 0.0 55.0 42.0 15.0 90.0 0.0 0.0 1236.0 
2.0 8.0 0.0 91.0 60.0 60.0 90.0 0.0 0.0 1236.0 
2.0 9.0 0.0 2.0 45.0 70.0 90.0 0.0 0.0 1236.0 
2.0 10.0 0.0 95.0 62.0 80.0 90.0 0.0 0.0 1236.0 
2.0 11.0 0.0 53.0 44.0 5.0 90.0 0.0 0.0 1236.0 
2.0 12.0 0.0 58.0 38.0 5.0 90.0 0.0 0.0 1236.0 
2.0 13.0 0.0 45.0 30.0 30.0 90.0 0.0 0.0 1236.0 
2.0 14.0 0.0 100.0 55.0 85.0 90.0 0.0 0.0 1236.0 
2.0 15.0 0.0 70.0 95.0 30.0 90.0 0.0 0.0 1236.0 
2.0 16.0 0.0 22.0 28.0 52.0 90.0 0.0 0.0 1236.0 
3.0 1.0 1.0 1.0 45.0 68.0 90.0 10.0 850.0 1030.0 
3.0 2.0 1.0 4.0 42.0 68.0 90.0 10.0 665.0 845.0 
3.0 3.0 1.0 5.0 42.0 65.0 90.0 10.0 15.0 195.0 
3.0 4.0 1.0 6.0 40.0 69.0 90.0 20.0 572.0 752.0 
3.0 5.0 1.0 7.0 40.0 66.0 90.0 20.0 108.0 288.0 
3.0 6.0 1.0 9.0 38.0 70.0 90.0 10.0 480.0 660.0 
3.0 7.0 1.0 10.0 35.0 66.0 90.0 10.0 294.0 474.0 
3.0 8.0 1.0 11.0 35.0 69.0 90.0 10.0 387.0 567.0 
3.0 9.0 1.0 14.0 22.0 85.0 90.0 10.0 504.0 684.0 
3.0 10.0 1.0 16.0 20.0 85.0 90.0 40.0 412.0 592.0 
3.0 11.0 1.0 18.0 15.0 75.0 90.0 20.0 127.0 307.0 
3.0 12.0 1.0 21.0 30.0 52.0 90.0 20.0 850.0 1030.0 
3.0 13.0 1.0 23.0 28.0 55.0 90.0 10.0 665.0 845.0 
3.0 14.0 1.0 24.0 25.0 50.0 90.0 10.0 15.0 195.0 
3.0 15.0 1.0 25.0 25.0 52.0 90.0 40.0 107.0 287.0 
3.0 16.0 1.0 26.0 25.0 55.0 90.0 10.0 572.0 752.0 
3.0 17.0 1.0 29.0 20.0 50.0 90.0 10.0 292.0 472.0 
3.0 18.0 1.0 30.0 20.0 55.0 90.0 10.0 387.0 567.0 
3.0 19.0 1.0 33.0 8.0 40.0 90.0 40.0 33.0 213.0 
3.0 20.0 1.0 36.0 5.0 45.0 90.0 10.0 601.0 781.0 
3.0 21.0 1.0 37.0 2.0 40.0 90.0 20.0 319.0 499.0 
3.0 22.0 1.0 38.0 0.0 40.0 90.0 30.0 411.0 591.0 
3.0 23.0 1.0 39.0 0.0 45.0 90.0 20.0 506.0 686.0 
3.0 24.0 1.0 40.0 35.0 30.0 90.0 10.0 203.0 383.0 
3.0 25.0 1.0 42.0 33.0 32.0 90.0 20.0 19.0 199.0 
3.0 26.0 1.0 43.0 33.0 35.0 90.0 10.0 16.0 196.0 
3.0 27.0 1.0 44.0 32.0 30.0 90.0 10.0 296.0 476.0 
3.0 28.0 1.0 48.0 28.0 30.0 90.0 10.0 573.0 753.0 
3.0 29.0 1.0 49.0 28.0 35.0 90.0 10.0 944.0 1124.0 
3.0 30.0 1.0 50.0 26.0 32.0 90.0 10.0 758.0 938.0 
3.0 31.0 1.0 52.0 25.0 35.0 90.0 10.0 851.0 1031.0 
3.0 32.0 1.0 54.0 42.0 10.0 90.0 40.0 132.0 312.0 
3.0 33.0 1.0 56.0 40.0 5.0 90.0 30.0 321.0 501.0 
3.0 34.0 1.0 57.0 40.0 15.0 90.0 40.0 35.0 215.0 
3.0 35.0 1.0 60.0 35.0 5.0 90.0 20.0 506.0 686.0 
3.0 36.0 1.0 62.0 50.0 35.0 90.0 20.0 200.0 380.0 
3.0 37.0 1.0 63.0 50.0 40.0 90.0 50.0 105.0 285.0 
3.0 38.0 1.0 64.0 48.0 30.0 90.0 10.0 573.0 753.0 
3.0 39.0 1.0 65.0 48.0 40.0 90.0 10.0 13.0 193.0 
3.0 40.0 1.0 67.0 47.0 40.0 90.0 10.0 12.0 192.0 
3.0 41.0 1.0 71.0 95.0 35.0 90.0 20.0 237.0 417.0 
3.0 42.0 1.0 72.0 53.0 30.0 90.0 10.0 388.0 568.0 
3.0 43.0 1.0 73.0 92.0 30.0 90.0 10.0 425.0 605.0 
3.0 44.0 1.0 75.0 45.0 65.0 90.0 20.0 943.0 1123.0 
3.0 45.0 1.0 76.0 90.0 35.0 90.0 10.0 142.0 322.0 
3.0 46.0 1.0 77.0 88.0 30.0 90.0 10.0 519.0 699.0 
3.0 47.0 1.0 78.0 88.0 35.0 90.0 20.0 50.0 230.0 
3.0 48.0 1.0 80.0 85.0 25.0 90.0 10.0 705.0 885.0 
3.0 49.0 1.0 81.0 85.0 35.0 90.0 30.0 47.0 227.0 
3.0 50.0 1.0 82.0 75.0 55.0 90.0 20.0 305.0 485.0 
3.0 51.0 1.0 83.0 72.0 55.0 90.0 10.0 212.0 392.0 
3.0 52.0 1.0 84.0 70.0 58.0 90.0 20.0 401.0 581.0 
3.0 53.0 1.0 85.0 68.0 60.0 90.0 30.0 494.0 674.0 
3.0 54.0 1.0 86.0 66.0 55.0 90.0 10.0 116.0 296.0 
3.0 55.0 1.0 87.0 65.0 55.0 90.0 20.0 25.0 205.0 
3.0 56.0 1.0 88.0 65.0 60.0 90.0 30.0 587.0 767.0 
3.0 57.0 1.0 90.0 60.0 55.0 90.0 10.0 20.0 200.0 
3.0 58.0 1.0 92.0 67.0 85.0 90.0 20.0 315.0 495.0 
3.0 59.0 1.0 93.0 65.0 85.0 90.0 40.0 407.0 587.0 
3.0 60.0 1.0 94.0 65.0 82.0 90.0 10.0 221.0 401.0 
3.0 61.0 1.0 96.0 60.0 80.0 90.0 10.0 36.0 216.0 
3.0 62.0 1.0 97.0 60.0 85.0 90.0 30.0 502.0 682.0 
3.0 63.0 1.0 99.0 55.0 80.0 90.0 10.0 692.0 872.0 
3.0 64.0 2.0 3.0 42.0 66.0 90.0 3.0 16.0 196.0 
3.0 65.0 2.0 8.0 38.0 68.0 90.0 2.0 200.0 380.0 
3.0 66.0 2.0 13.0 22.0 75.0 90.0 6.0 56.0 236.0 
3.0 67.0 2.0 15.0 20.0 80.0 90.0 5.0 317.0 497.0 
3.0 68.0 2.0 17.0 18.0 75.0 90.0 6.0 34.0 214.0 
3.0 69.0 2.0 19.0 15.0 80.0 90.0 6.0 222.0 402.0 
3.0 70.0 2.0 20.0 30.0 50.0 90.0 2.0 10.0 190.0 
3.0 71.0 2.0 27.0 23.0 52.0 90.0 6.0 199.0 379.0 
3.0 72.0 2.0 28.0 23.0 55.0 90.0 3.0 480.0 660.0 
3.0 73.0 2.0 31.0 10.0 35.0 90.0 6.0 129.0 309.0 
3.0 74.0 2.0 32.0 10.0 40.0 90.0 22.0 31.0 211.0 
3.0 75.0 2.0 34.0 8.0 45.0 90.0 10.0 694.0 874.0 
3.0 76.0 2.0 41.0 35.0 32.0 90.0 6.0 111.0 291.0 
3.0 77.0 2.0 46.0 30.0 32.0 90.0 11.0 389.0 569.0 
3.0 78.0 2.0 47.0 30.0 35.0 90.0 2.0 947.0 1127.0 
3.0 79.0 2.0 51.0 25.0 30.0 90.0 6.0 666.0 846.0 
3.0 80.0 2.0 61.0 50.0 30.0 90.0 2.0 481.0 661.0 
3.0 81.0 2.0 66.0 47.0 35.0 90.0 2.0 761.0 941.0 
3.0 82.0 2.0 68.0 45.0 30.0 90.0 6.0 666.0 846.0 
3.0 83.0 2.0 89.0 63.0 58.0 90.0 3.0 680.0 860.0 
3.0 84.0 2.0 98.0 58.0 75.0 90.0 1.0 30.0 210.0 

# avp Matrix:
1 1 0 
1 0 1 
1 1 1 
0 1 0 
0 0 1 
0 0 1 
1 0 1 
0 1 1 
1 0 1 
1 0 1 
1 0 0 
1 0 0 
1 0 1 
0 1 0 
0 0 1 
0 1 1 

# bcp Matrix:
1 0 0 
1 0 1 
1 1 0 
1 0 0 
1 0 0 
0 0 1 
0 0 1 
0 0 1 
1 1 0 
1 0 0 
0 0 1 
0 1 0 
0 0 1 
1 0 1 
0 0 1 
0 0 1 
0 0 1 
0 0 1 
0 0 1 
1 0 0 
1 0 1 

# qcp Matrix:
1 0 0 
2 0 1 
2 1 0 
5 0 0 
2 0 0 
0 0 1 
0 0 2 
0 0 1 
1 1 0 
2 0 0 
0 0 2 
0 1 0 
0 0 1 
1 0 3 
0 0 2 
0 0 1 
0 0 2 
0 0 2 
0 0 1 
1 0 0 
1 0 3 

# wp Matrix:
7 10 4 
