# Size of Some Parameters:
101	10	1000	25	1	20	64	16	3	

# Data Matrix:
1.0 1.0 0.0 0.0 40.0 50.0 0.0 0.0 0.0 960.0 
2.0 1.0 0.0 74.0 20.0 20.0 10.0 0.0 0.0 960.0 
2.0 2.0 0.0 64.0 45.0 30.0 10.0 0.0 0.0 960.0 
2.0 3.0 0.0 5.0 20.0 85.0 10.0 0.0 0.0 960.0 
2.0 4.0 0.0 20.0 42.0 15.0 10.0 0.0 0.0 960.0 
2.0 5.0 0.0 1.0 25.0 85.0 10.0 0.0 0.0 960.0 
2.0 6.0 0.0 80.0 47.0 47.0 10.0 0.0 0.0 960.0 
2.0 7.0 0.0 97.0 4.0 18.0 10.0 0.0 0.0 960.0 
2.0 8.0 0.0 9.0 10.0 35.0 10.0 0.0 0.0 960.0 
2.0 9.0 0.0 25.0 35.0 5.0 10.0 0.0 0.0 960.0 
2.0 10.0 0.0 87.0 12.0 24.0 10.0 0.0 0.0 960.0 
2.0 11.0 0.0 73.0 2.0 60.0 10.0 0.0 0.0 960.0 
2.0 12.0 0.0 51.0 55.0 20.0 10.0 0.0 0.0 960.0 
2.0 13.0 0.0 10.0 10.0 40.0 10.0 0.0 0.0 960.0 
2.0 14.0 0.0 70.0 35.0 69.0 10.0 0.0 0.0 960.0 
2.0 15.0 0.0 95.0 56.0 37.0 10.0 0.0 0.0 960.0 
2.0 16.0 0.0 22.0 40.0 15.0 10.0 0.0 0.0 960.0 
2.0 17.0 0.0 26.0 95.0 30.0 10.0 0.0 0.0 960.0 
2.0 18.0 0.0 77.0 23.0 3.0 10.0 0.0 0.0 960.0 
2.0 19.0 0.0 8.0 15.0 80.0 10.0 0.0 0.0 960.0 
2.0 20.0 0.0 86.0 21.0 24.0 10.0 0.0 0.0 960.0 
3.0 1.0 1.0 2.0 22.0 75.0 10.0 30.0 30.0 510.0 
3.0 2.0 1.0 4.0 20.0 80.0 10.0 40.0 674.0 734.0 
3.0 3.0 1.0 6.0 18.0 75.0 10.0 20.0 393.0 502.0 
3.0 4.0 1.0 7.0 15.0 75.0 10.0 20.0 120.0 600.0 
3.0 5.0 1.0 11.0 8.0 40.0 10.0 40.0 225.0 285.0 
3.0 6.0 1.0 13.0 5.0 35.0 10.0 10.0 683.0 743.0 
3.0 7.0 1.0 14.0 5.0 45.0 10.0 10.0 35.0 366.0 
3.0 8.0 1.0 15.0 2.0 40.0 10.0 20.0 204.0 264.0 
3.0 9.0 1.0 16.0 0.0 40.0 10.0 20.0 204.0 425.0 
3.0 10.0 1.0 18.0 44.0 5.0 10.0 20.0 306.0 483.0 
3.0 11.0 1.0 21.0 40.0 5.0 10.0 10.0 45.0 525.0 
3.0 12.0 1.0 23.0 38.0 5.0 10.0 30.0 231.0 291.0 
3.0 13.0 1.0 24.0 38.0 15.0 10.0 10.0 609.0 872.0 
3.0 14.0 1.0 27.0 95.0 35.0 10.0 20.0 138.0 273.0 
3.0 15.0 1.0 28.0 92.0 30.0 10.0 10.0 78.0 339.0 
3.0 16.0 1.0 29.0 90.0 35.0 10.0 10.0 132.0 375.0 
3.0 17.0 1.0 31.0 88.0 35.0 10.0 20.0 50.0 530.0 
3.0 18.0 1.0 32.0 87.0 30.0 10.0 10.0 562.0 799.0 
3.0 19.0 1.0 33.0 85.0 25.0 10.0 10.0 71.0 208.0 
3.0 20.0 1.0 34.0 85.0 35.0 10.0 30.0 307.0 787.0 
3.0 21.0 1.0 35.0 67.0 85.0 10.0 20.0 655.0 778.0 
3.0 22.0 1.0 38.0 62.0 80.0 10.0 30.0 308.0 368.0 
3.0 23.0 1.0 39.0 60.0 80.0 10.0 10.0 46.0 201.0 
3.0 24.0 1.0 40.0 60.0 85.0 10.0 30.0 339.0 438.0 
3.0 25.0 1.0 41.0 58.0 75.0 10.0 20.0 377.0 494.0 
3.0 26.0 1.0 42.0 55.0 80.0 10.0 10.0 33.0 166.0 
3.0 27.0 1.0 43.0 55.0 85.0 10.0 20.0 531.0 736.0 
3.0 28.0 1.0 44.0 55.0 82.0 10.0 10.0 247.0 307.0 
3.0 29.0 1.0 45.0 20.0 82.0 10.0 10.0 37.0 177.0 
3.0 30.0 1.0 47.0 2.0 45.0 10.0 10.0 38.0 322.0 
3.0 31.0 1.0 48.0 42.0 5.0 10.0 10.0 424.0 904.0 
3.0 32.0 1.0 49.0 42.0 12.0 10.0 10.0 460.0 539.0 
3.0 33.0 1.0 50.0 72.0 35.0 10.0 30.0 327.0 807.0 
3.0 34.0 1.0 52.0 25.0 30.0 10.0 3.0 25.0 505.0 
3.0 35.0 1.0 55.0 30.0 60.0 10.0 16.0 629.0 689.0 
3.0 36.0 1.0 56.0 50.0 35.0 10.0 19.0 560.0 673.0 
3.0 37.0 1.0 57.0 30.0 25.0 10.0 23.0 342.0 571.0 
3.0 38.0 1.0 58.0 15.0 10.0 10.0 20.0 842.0 902.0 
3.0 39.0 1.0 59.0 10.0 20.0 10.0 19.0 42.0 522.0 
3.0 40.0 1.0 60.0 15.0 60.0 10.0 17.0 623.0 884.0 
3.0 41.0 1.0 61.0 45.0 65.0 10.0 9.0 214.0 421.0 
3.0 42.0 1.0 62.0 65.0 35.0 10.0 3.0 197.0 257.0 
3.0 43.0 1.0 63.0 65.0 20.0 10.0 6.0 39.0 316.0 
3.0 44.0 1.0 65.0 35.0 40.0 10.0 16.0 11.0 140.0 
3.0 45.0 1.0 66.0 41.0 37.0 10.0 16.0 570.0 681.0 
3.0 46.0 1.0 67.0 64.0 42.0 10.0 9.0 298.0 358.0 
3.0 47.0 1.0 68.0 40.0 60.0 10.0 21.0 613.0 730.0 
3.0 48.0 1.0 69.0 31.0 52.0 10.0 27.0 187.0 247.0 
3.0 49.0 1.0 71.0 65.0 55.0 10.0 14.0 191.0 410.0 
3.0 50.0 1.0 72.0 63.0 65.0 10.0 8.0 27.0 507.0 
3.0 51.0 1.0 75.0 5.0 5.0 10.0 16.0 57.0 537.0 
3.0 52.0 1.0 76.0 60.0 12.0 10.0 31.0 298.0 358.0 
3.0 53.0 1.0 79.0 6.0 68.0 10.0 30.0 382.0 442.0 
3.0 54.0 1.0 81.0 49.0 58.0 10.0 10.0 332.0 497.0 
3.0 55.0 1.0 83.0 37.0 31.0 10.0 14.0 19.0 499.0 
3.0 56.0 1.0 84.0 57.0 29.0 10.0 18.0 425.0 485.0 
3.0 57.0 1.0 85.0 63.0 23.0 10.0 2.0 164.0 644.0 
3.0 58.0 1.0 88.0 24.0 58.0 10.0 19.0 262.0 377.0 
3.0 59.0 1.0 90.0 37.0 47.0 10.0 6.0 311.0 526.0 
3.0 60.0 1.0 91.0 49.0 42.0 10.0 13.0 457.0 937.0 
3.0 61.0 1.0 93.0 61.0 52.0 10.0 3.0 789.0 928.0 
3.0 62.0 1.0 96.0 55.0 54.0 10.0 26.0 382.0 862.0 
3.0 63.0 1.0 99.0 26.0 35.0 10.0 15.0 338.0 398.0 
3.0 64.0 1.0 100.0 31.0 67.0 10.0 3.0 870.0 930.0 
3.0 65.0 2.0 3.0 22.0 85.0 10.0 2.0 291.0 771.0 
3.0 66.0 2.0 12.0 8.0 45.0 10.0 11.0 43.0 523.0 
3.0 67.0 2.0 17.0 0.0 45.0 10.0 6.0 698.0 827.0 
3.0 68.0 2.0 19.0 42.0 10.0 10.0 39.0 199.0 428.0 
3.0 69.0 2.0 30.0 88.0 30.0 10.0 1.0 252.0 359.0 
3.0 70.0 2.0 36.0 65.0 85.0 10.0 21.0 43.0 186.0 
3.0 71.0 2.0 37.0 65.0 82.0 10.0 9.0 377.0 857.0 
3.0 72.0 2.0 46.0 18.0 80.0 10.0 3.0 432.0 665.0 
3.0 73.0 2.0 53.0 20.0 50.0 10.0 1.0 405.0 465.0 
3.0 74.0 2.0 54.0 55.0 60.0 10.0 10.0 554.0 767.0 
3.0 75.0 2.0 78.0 8.0 56.0 10.0 13.0 366.0 483.0 
3.0 76.0 2.0 82.0 27.0 43.0 10.0 3.0 14.0 494.0 
3.0 77.0 2.0 89.0 67.0 5.0 10.0 7.0 611.0 897.0 
3.0 78.0 2.0 92.0 53.0 43.0 10.0 1.0 14.0 74.0 
3.0 79.0 2.0 94.0 57.0 48.0 10.0 12.0 212.0 692.0 
3.0 80.0 2.0 98.0 26.0 52.0 10.0 1.0 14.0 494.0 

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

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

# qcp Matrix:
8 0 0 
1 8 0 
6 8 0 
1 0 0 
4 5 0 
9 10 0 
1 0 0 
5 2 0 
4 0 0 
2 4 0 
2 5 1 
2 4 0 
8 3 1 
7 6 0 
7 4 0 
8 0 0 

# wp Matrix:
1 1 7 
