# 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 42.0 33.0 32.0 90.0 0.0 0.0 1236.0 
2.0 3.0 0.0 21.0 30.0 52.0 90.0 0.0 0.0 1236.0 
2.0 4.0 0.0 34.0 8.0 45.0 90.0 0.0 0.0 1236.0 
2.0 5.0 0.0 98.0 58.0 75.0 90.0 0.0 0.0 1236.0 
2.0 6.0 0.0 1.0 45.0 68.0 90.0 0.0 0.0 1236.0 
2.0 7.0 0.0 95.0 62.0 80.0 90.0 0.0 0.0 1236.0 
2.0 8.0 0.0 96.0 60.0 80.0 90.0 0.0 0.0 1236.0 
2.0 9.0 0.0 41.0 35.0 32.0 90.0 0.0 0.0 1236.0 
2.0 10.0 0.0 36.0 5.0 45.0 90.0 0.0 0.0 1236.0 
2.0 11.0 0.0 30.0 20.0 55.0 90.0 0.0 0.0 1236.0 
2.0 12.0 0.0 52.0 25.0 35.0 90.0 0.0 0.0 1236.0 
2.0 13.0 0.0 12.0 25.0 85.0 90.0 0.0 0.0 1236.0 
2.0 14.0 0.0 78.0 88.0 35.0 90.0 0.0 0.0 1236.0 
2.0 15.0 0.0 67.0 47.0 40.0 90.0 0.0 0.0 1236.0 
2.0 16.0 0.0 16.0 20.0 85.0 90.0 0.0 0.0 1236.0 
3.0 1.0 1.0 3.0 42.0 66.0 90.0 10.0 0.0 1129.0 
3.0 2.0 1.0 4.0 42.0 68.0 90.0 10.0 727.0 782.0 
3.0 3.0 1.0 5.0 42.0 65.0 90.0 10.0 0.0 1130.0 
3.0 4.0 1.0 6.0 40.0 69.0 90.0 20.0 621.0 702.0 
3.0 5.0 1.0 7.0 40.0 66.0 90.0 20.0 0.0 1130.0 
3.0 6.0 1.0 8.0 38.0 68.0 90.0 20.0 255.0 324.0 
3.0 7.0 1.0 9.0 38.0 70.0 90.0 10.0 534.0 605.0 
3.0 8.0 1.0 10.0 35.0 66.0 90.0 10.0 357.0 410.0 
3.0 9.0 1.0 11.0 35.0 69.0 90.0 10.0 448.0 505.0 
3.0 10.0 1.0 13.0 22.0 75.0 90.0 30.0 30.0 92.0 
3.0 11.0 1.0 14.0 22.0 85.0 90.0 10.0 567.0 620.0 
3.0 12.0 1.0 20.0 30.0 50.0 90.0 10.0 10.0 73.0 
3.0 13.0 1.0 23.0 28.0 55.0 90.0 10.0 732.0 777.0 
3.0 14.0 1.0 26.0 25.0 55.0 90.0 10.0 0.0 1130.0 
3.0 15.0 1.0 27.0 23.0 52.0 90.0 10.0 261.0 316.0 
3.0 16.0 1.0 28.0 23.0 55.0 90.0 20.0 546.0 593.0 
3.0 17.0 1.0 29.0 20.0 50.0 90.0 10.0 358.0 405.0 
3.0 18.0 1.0 31.0 10.0 35.0 90.0 20.0 0.0 1112.0 
3.0 19.0 1.0 32.0 10.0 40.0 90.0 30.0 31.0 100.0 
3.0 20.0 1.0 33.0 8.0 40.0 90.0 40.0 87.0 158.0 
3.0 21.0 1.0 35.0 5.0 35.0 90.0 10.0 283.0 344.0 
3.0 22.0 1.0 37.0 2.0 40.0 90.0 20.0 0.0 1106.0 
3.0 23.0 1.0 38.0 0.0 40.0 90.0 30.0 479.0 522.0 
3.0 24.0 1.0 43.0 33.0 35.0 90.0 10.0 16.0 80.0 
3.0 25.0 1.0 45.0 30.0 30.0 90.0 10.0 541.0 600.0 
3.0 26.0 1.0 46.0 30.0 32.0 90.0 30.0 448.0 509.0 
3.0 27.0 1.0 47.0 30.0 35.0 90.0 10.0 1054.0 1127.0 
3.0 28.0 1.0 48.0 28.0 30.0 90.0 10.0 0.0 1122.0 
3.0 29.0 1.0 50.0 26.0 32.0 90.0 10.0 0.0 1123.0 
3.0 30.0 1.0 51.0 25.0 30.0 90.0 10.0 725.0 786.0 
3.0 31.0 1.0 54.0 42.0 10.0 90.0 40.0 186.0 257.0 
3.0 32.0 1.0 57.0 40.0 15.0 90.0 40.0 35.0 87.0 
3.0 33.0 1.0 58.0 38.0 5.0 90.0 30.0 471.0 534.0 
3.0 34.0 1.0 60.0 35.0 5.0 90.0 20.0 562.0 629.0 
3.0 35.0 1.0 61.0 50.0 30.0 90.0 10.0 531.0 610.0 
3.0 36.0 1.0 62.0 50.0 35.0 90.0 20.0 262.0 317.0 
3.0 37.0 1.0 64.0 48.0 30.0 90.0 10.0 632.0 693.0 
3.0 38.0 1.0 65.0 48.0 40.0 90.0 10.0 76.0 129.0 
3.0 39.0 1.0 66.0 47.0 35.0 90.0 10.0 826.0 875.0 
3.0 40.0 1.0 68.0 45.0 30.0 90.0 10.0 734.0 777.0 
3.0 41.0 1.0 69.0 45.0 35.0 90.0 10.0 916.0 969.0 
3.0 42.0 1.0 70.0 95.0 30.0 90.0 30.0 387.0 456.0 
3.0 43.0 1.0 72.0 53.0 30.0 90.0 10.0 0.0 1122.0 
3.0 44.0 1.0 73.0 92.0 30.0 90.0 10.0 478.0 551.0 
3.0 45.0 1.0 75.0 45.0 65.0 90.0 20.0 0.0 1130.0 
3.0 46.0 1.0 77.0 88.0 30.0 90.0 10.0 574.0 643.0 
3.0 47.0 1.0 79.0 87.0 30.0 90.0 10.0 668.0 731.0 
3.0 48.0 1.0 80.0 85.0 25.0 90.0 10.0 769.0 820.0 
3.0 49.0 1.0 81.0 85.0 35.0 90.0 30.0 47.0 124.0 
3.0 50.0 1.0 83.0 72.0 55.0 90.0 10.0 0.0 1113.0 
3.0 51.0 1.0 84.0 70.0 58.0 90.0 20.0 458.0 523.0 
3.0 52.0 1.0 85.0 68.0 60.0 90.0 30.0 0.0 1116.0 
3.0 53.0 1.0 86.0 66.0 55.0 90.0 10.0 173.0 238.0 
3.0 54.0 1.0 87.0 65.0 55.0 90.0 20.0 85.0 144.0 
3.0 55.0 1.0 88.0 65.0 60.0 90.0 30.0 645.0 708.0 
3.0 56.0 1.0 89.0 63.0 58.0 90.0 10.0 737.0 802.0 
3.0 57.0 1.0 90.0 60.0 55.0 90.0 10.0 20.0 84.0 
3.0 58.0 1.0 91.0 60.0 60.0 90.0 10.0 0.0 1123.0 
3.0 59.0 1.0 92.0 67.0 85.0 90.0 20.0 368.0 441.0 
3.0 60.0 1.0 93.0 65.0 85.0 90.0 40.0 475.0 518.0 
3.0 61.0 1.0 94.0 65.0 82.0 90.0 10.0 0.0 1105.0 
3.0 62.0 1.0 97.0 60.0 85.0 90.0 30.0 561.0 622.0 
3.0 63.0 1.0 100.0 55.0 85.0 90.0 20.0 647.0 726.0 
3.0 64.0 2.0 2.0 45.0 70.0 90.0 6.0 0.0 1125.0 
3.0 65.0 2.0 15.0 20.0 80.0 90.0 6.0 384.0 429.0 
3.0 66.0 2.0 17.0 18.0 75.0 90.0 6.0 99.0 148.0 
3.0 67.0 2.0 18.0 15.0 75.0 90.0 5.0 179.0 254.0 
3.0 68.0 2.0 19.0 15.0 80.0 90.0 3.0 278.0 345.0 
3.0 69.0 2.0 22.0 28.0 52.0 90.0 6.0 812.0 883.0 
3.0 70.0 2.0 24.0 25.0 50.0 90.0 6.0 65.0 144.0 
3.0 71.0 2.0 25.0 25.0 52.0 90.0 5.0 169.0 224.0 
3.0 72.0 2.0 39.0 0.0 45.0 90.0 6.0 567.0 624.0 
3.0 73.0 2.0 40.0 35.0 30.0 90.0 4.0 264.0 321.0 
3.0 74.0 2.0 44.0 32.0 30.0 90.0 4.0 359.0 412.0 
3.0 75.0 2.0 49.0 28.0 35.0 90.0 6.0 1001.0 1066.0 
3.0 76.0 2.0 53.0 44.0 5.0 90.0 6.0 286.0 347.0 
3.0 77.0 2.0 55.0 42.0 15.0 90.0 6.0 95.0 158.0 
3.0 78.0 2.0 56.0 40.0 5.0 90.0 7.0 385.0 436.0 
3.0 79.0 2.0 59.0 38.0 15.0 90.0 6.0 0.0 1110.0 
3.0 80.0 2.0 63.0 50.0 40.0 90.0 8.0 171.0 218.0 
3.0 81.0 2.0 71.0 95.0 35.0 90.0 8.0 293.0 360.0 
3.0 82.0 2.0 76.0 90.0 35.0 90.0 2.0 203.0 260.0 
3.0 83.0 2.0 82.0 75.0 55.0 90.0 14.0 0.0 1110.0 
3.0 84.0 2.0 99.0 55.0 80.0 90.0 3.0 743.0 820.0 

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

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

# qcp Matrix:
0 3 2 
4 0 1 
2 0 0 
1 2 0 
1 0 0 
2 0 0 
0 1 0 
5 0 0 
2 0 0 
0 0 1 
0 0 1 
0 1 0 
0 2 1 
0 1 0 
1 1 2 
0 1 0 
6 0 0 
0 3 0 
0 2 0 
0 0 1 
1 0 0 

# wp Matrix:
7 4 6 
