# Size of Some Parameters:
101	10	1000	25	1	20	54	26	4	

# Data Matrix:
1.0 1.0 0.0 0.0 35.0 35.0 0.0 0.0 0.0 1000.0 
2.0 1.0 0.0 74.0 46.0 13.0 10.0 0.0 0.0 1000.0 
2.0 2.0 0.0 1.0 41.0 49.0 10.0 0.0 0.0 1000.0 
2.0 3.0 0.0 3.0 55.0 45.0 10.0 0.0 0.0 1000.0 
2.0 4.0 0.0 15.0 30.0 5.0 10.0 0.0 0.0 1000.0 
2.0 5.0 0.0 19.0 15.0 60.0 10.0 0.0 0.0 1000.0 
2.0 6.0 0.0 22.0 45.0 10.0 10.0 0.0 0.0 1000.0 
2.0 7.0 0.0 6.0 25.0 30.0 10.0 0.0 0.0 1000.0 
2.0 8.0 0.0 47.0 8.0 56.0 10.0 0.0 0.0 1000.0 
2.0 9.0 0.0 20.0 45.0 65.0 10.0 0.0 0.0 1000.0 
2.0 10.0 0.0 81.0 55.0 54.0 10.0 0.0 0.0 1000.0 
2.0 11.0 0.0 44.0 11.0 14.0 10.0 0.0 0.0 1000.0 
2.0 12.0 0.0 57.0 32.0 12.0 10.0 0.0 0.0 1000.0 
2.0 13.0 0.0 17.0 5.0 30.0 10.0 0.0 0.0 1000.0 
2.0 14.0 0.0 46.0 2.0 48.0 10.0 0.0 0.0 1000.0 
2.0 15.0 0.0 91.0 15.0 19.0 10.0 0.0 0.0 1000.0 
2.0 16.0 0.0 38.0 5.0 5.0 10.0 0.0 0.0 1000.0 
2.0 17.0 0.0 100.0 18.0 18.0 10.0 0.0 0.0 1000.0 
2.0 18.0 0.0 71.0 57.0 68.0 10.0 0.0 0.0 1000.0 
2.0 19.0 0.0 31.0 31.0 52.0 10.0 0.0 0.0 1000.0 
2.0 20.0 0.0 14.0 15.0 10.0 10.0 0.0 0.0 1000.0 
3.0 1.0 1.0 4.0 55.0 20.0 10.0 19.0 679.0 800.0 
3.0 2.0 1.0 7.0 20.0 50.0 10.0 5.0 72.0 669.0 
3.0 3.0 1.0 9.0 55.0 60.0 10.0 16.0 394.0 503.0 
3.0 4.0 1.0 10.0 30.0 60.0 10.0 16.0 517.0 692.0 
3.0 5.0 1.0 11.0 20.0 65.0 10.0 12.0 206.0 325.0 
3.0 6.0 1.0 12.0 50.0 35.0 10.0 19.0 15.0 725.0 
3.0 7.0 1.0 13.0 30.0 25.0 10.0 23.0 694.0 823.0 
3.0 8.0 1.0 16.0 10.0 20.0 10.0 19.0 102.0 543.0 
3.0 9.0 1.0 18.0 20.0 40.0 10.0 12.0 229.0 582.0 
3.0 10.0 1.0 25.0 65.0 20.0 10.0 6.0 826.0 956.0 
3.0 11.0 1.0 26.0 45.0 30.0 10.0 17.0 328.0 927.0 
3.0 12.0 1.0 27.0 35.0 40.0 10.0 16.0 44.0 315.0 
3.0 13.0 1.0 28.0 41.0 37.0 10.0 16.0 6.0 526.0 
3.0 14.0 1.0 29.0 64.0 42.0 10.0 9.0 29.0 513.0 
3.0 15.0 1.0 30.0 40.0 60.0 10.0 21.0 199.0 414.0 
3.0 16.0 1.0 32.0 35.0 69.0 10.0 23.0 482.0 955.0 
3.0 17.0 1.0 34.0 65.0 55.0 10.0 14.0 265.0 878.0 
3.0 18.0 1.0 36.0 2.0 60.0 10.0 5.0 41.0 328.0 
3.0 19.0 1.0 39.0 60.0 12.0 10.0 31.0 33.0 344.0 
3.0 20.0 1.0 40.0 40.0 25.0 10.0 9.0 300.0 497.0 
3.0 21.0 1.0 42.0 24.0 12.0 10.0 5.0 25.0 292.0 
3.0 22.0 1.0 43.0 23.0 3.0 10.0 7.0 458.0 867.0 
3.0 23.0 1.0 48.0 13.0 52.0 10.0 36.0 200.0 962.0 
3.0 24.0 1.0 49.0 6.0 68.0 10.0 30.0 441.0 600.0 
3.0 25.0 1.0 50.0 47.0 47.0 10.0 13.0 272.0 917.0 
3.0 26.0 1.0 51.0 49.0 58.0 10.0 10.0 176.0 625.0 
3.0 27.0 1.0 53.0 37.0 31.0 10.0 14.0 403.0 500.0 
3.0 28.0 1.0 54.0 57.0 29.0 10.0 18.0 475.0 900.0 
3.0 29.0 1.0 55.0 63.0 23.0 10.0 2.0 620.0 739.0 
3.0 30.0 1.0 58.0 36.0 26.0 10.0 18.0 854.0 980.0 
3.0 31.0 1.0 59.0 21.0 24.0 10.0 28.0 17.0 972.0 
3.0 32.0 1.0 62.0 24.0 58.0 10.0 19.0 168.0 297.0 
3.0 33.0 1.0 63.0 27.0 69.0 10.0 10.0 34.0 588.0 
3.0 34.0 1.0 65.0 62.0 77.0 10.0 20.0 49.0 308.0 
3.0 35.0 1.0 66.0 49.0 73.0 10.0 25.0 532.0 753.0 
3.0 36.0 1.0 67.0 67.0 5.0 10.0 25.0 291.0 404.0 
3.0 37.0 1.0 68.0 56.0 39.0 10.0 36.0 577.0 812.0 
3.0 38.0 1.0 69.0 37.0 47.0 10.0 6.0 165.0 290.0 
3.0 39.0 1.0 70.0 37.0 56.0 10.0 5.0 668.0 968.0 
3.0 40.0 1.0 72.0 47.0 16.0 10.0 25.0 22.0 915.0 
3.0 41.0 1.0 73.0 44.0 17.0 10.0 9.0 143.0 564.0 
3.0 42.0 1.0 75.0 49.0 11.0 10.0 18.0 27.0 711.0 
3.0 43.0 1.0 80.0 56.0 37.0 10.0 6.0 719.0 968.0 
3.0 44.0 1.0 82.0 15.0 47.0 10.0 16.0 23.0 761.0 
3.0 45.0 1.0 83.0 14.0 37.0 10.0 11.0 21.0 842.0 
3.0 46.0 1.0 84.0 11.0 31.0 10.0 7.0 425.0 522.0 
3.0 47.0 1.0 87.0 28.0 18.0 10.0 26.0 397.0 470.0 
3.0 48.0 1.0 88.0 26.0 52.0 10.0 9.0 219.0 448.0 
3.0 49.0 1.0 89.0 26.0 35.0 10.0 15.0 409.0 981.0 
3.0 50.0 1.0 90.0 31.0 67.0 10.0 3.0 225.0 654.0 
3.0 51.0 1.0 94.0 26.0 27.0 10.0 27.0 190.0 749.0 
3.0 52.0 1.0 96.0 22.0 27.0 10.0 11.0 344.0 953.0 
3.0 53.0 1.0 97.0 25.0 21.0 10.0 12.0 462.0 823.0 
3.0 54.0 1.0 99.0 20.0 26.0 10.0 9.0 328.0 437.0 
3.0 55.0 2.0 2.0 35.0 17.0 10.0 2.0 18.0 792.0 
3.0 56.0 2.0 5.0 15.0 30.0 10.0 10.0 20.0 906.0 
3.0 57.0 2.0 8.0 10.0 43.0 10.0 2.0 393.0 492.0 
3.0 58.0 2.0 21.0 45.0 20.0 10.0 2.0 18.0 727.0 
3.0 59.0 2.0 23.0 55.0 5.0 10.0 3.0 206.0 325.0 
3.0 60.0 2.0 24.0 65.0 35.0 10.0 1.0 435.0 960.0 
3.0 61.0 2.0 33.0 53.0 52.0 10.0 4.0 24.0 299.0 
3.0 62.0 2.0 35.0 63.0 65.0 10.0 3.0 626.0 873.0 
3.0 63.0 2.0 37.0 20.0 20.0 10.0 2.0 339.0 960.0 
3.0 64.0 2.0 41.0 42.0 7.0 10.0 3.0 336.0 571.0 
3.0 65.0 2.0 45.0 6.0 38.0 10.0 2.0 29.0 309.0 
3.0 66.0 2.0 52.0 27.0 43.0 10.0 1.0 11.0 748.0 
3.0 67.0 2.0 56.0 53.0 12.0 10.0 1.0 525.0 752.0 
3.0 68.0 2.0 60.0 17.0 34.0 10.0 1.0 449.0 971.0 
3.0 69.0 2.0 61.0 12.0 24.0 10.0 3.0 126.0 541.0 
3.0 70.0 2.0 64.0 15.0 77.0 10.0 2.0 154.0 393.0 
3.0 71.0 2.0 76.0 49.0 42.0 10.0 5.0 281.0 382.0 
3.0 72.0 2.0 77.0 53.0 43.0 10.0 2.0 821.0 948.0 
3.0 73.0 2.0 78.0 61.0 52.0 10.0 1.0 324.0 559.0 
3.0 74.0 2.0 79.0 57.0 48.0 10.0 1.0 377.0 476.0 
3.0 75.0 2.0 85.0 16.0 22.0 10.0 3.0 110.0 727.0 
3.0 76.0 2.0 86.0 4.0 18.0 10.0 18.0 230.0 623.0 
3.0 77.0 2.0 92.0 22.0 22.0 10.0 0.0 18.0 159.0 
3.0 78.0 2.0 93.0 18.0 24.0 10.0 6.0 691.0 969.0 
3.0 79.0 2.0 95.0 25.0 24.0 10.0 10.0 14.0 793.0 
3.0 80.0 2.0 98.0 19.0 21.0 10.0 4.0 21.0 748.0 

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

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

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

# wp Matrix:
1 5 1 2 
