# Size of Some Parameters:
101	10	1000	25	1	16	63	21	3	

# 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 52.0 27.0 43.0 10.0 0.0 0.0 1000.0 
2.0 3.0 0.0 75.0 49.0 11.0 10.0 0.0 0.0 1000.0 
2.0 4.0 0.0 50.0 47.0 47.0 10.0 0.0 0.0 1000.0 
2.0 5.0 0.0 30.0 40.0 60.0 10.0 0.0 0.0 1000.0 
2.0 6.0 0.0 24.0 65.0 35.0 10.0 0.0 0.0 1000.0 
2.0 7.0 0.0 80.0 56.0 37.0 10.0 0.0 0.0 1000.0 
2.0 8.0 0.0 33.0 53.0 52.0 10.0 0.0 0.0 1000.0 
2.0 9.0 0.0 40.0 40.0 25.0 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 23.0 55.0 5.0 10.0 0.0 0.0 1000.0 
2.0 12.0 0.0 61.0 12.0 24.0 10.0 0.0 0.0 1000.0 
2.0 13.0 0.0 92.0 22.0 22.0 10.0 0.0 0.0 1000.0 
2.0 14.0 0.0 62.0 24.0 58.0 10.0 0.0 0.0 1000.0 
2.0 15.0 0.0 67.0 67.0 5.0 10.0 0.0 0.0 1000.0 
2.0 16.0 0.0 21.0 45.0 20.0 10.0 0.0 0.0 1000.0 
3.0 1.0 1.0 2.0 35.0 17.0 10.0 7.0 74.0 351.0 
3.0 2.0 1.0 3.0 55.0 45.0 10.0 13.0 498.0 613.0 
3.0 3.0 1.0 4.0 55.0 20.0 10.0 19.0 470.0 965.0 
3.0 4.0 1.0 7.0 20.0 50.0 10.0 5.0 292.0 449.0 
3.0 5.0 1.0 8.0 10.0 43.0 10.0 9.0 288.0 597.0 
3.0 6.0 1.0 10.0 30.0 60.0 10.0 16.0 496.0 713.0 
3.0 7.0 1.0 13.0 30.0 25.0 10.0 23.0 426.0 978.0 
3.0 8.0 1.0 14.0 15.0 10.0 10.0 20.0 32.0 454.0 
3.0 9.0 1.0 15.0 30.0 5.0 10.0 8.0 30.0 529.0 
3.0 10.0 1.0 16.0 10.0 20.0 10.0 19.0 222.0 423.0 
3.0 11.0 1.0 17.0 5.0 30.0 10.0 2.0 409.0 959.0 
3.0 12.0 1.0 18.0 20.0 40.0 10.0 12.0 349.0 462.0 
3.0 13.0 1.0 19.0 15.0 60.0 10.0 17.0 215.0 432.0 
3.0 14.0 1.0 20.0 45.0 65.0 10.0 9.0 538.0 709.0 
3.0 15.0 1.0 22.0 45.0 10.0 10.0 18.0 280.0 623.0 
3.0 16.0 1.0 25.0 65.0 20.0 10.0 6.0 400.0 956.0 
3.0 17.0 1.0 27.0 35.0 40.0 10.0 16.0 5.0 612.0 
3.0 18.0 1.0 28.0 41.0 37.0 10.0 16.0 44.0 325.0 
3.0 19.0 1.0 29.0 64.0 42.0 10.0 9.0 129.0 374.0 
3.0 20.0 1.0 31.0 31.0 52.0 10.0 27.0 91.0 336.0 
3.0 21.0 1.0 32.0 35.0 69.0 10.0 23.0 602.0 835.0 
3.0 22.0 1.0 34.0 65.0 55.0 10.0 14.0 487.0 656.0 
3.0 23.0 1.0 35.0 63.0 65.0 10.0 8.0 439.0 948.0 
3.0 24.0 1.0 36.0 2.0 60.0 10.0 5.0 41.0 710.0 
3.0 25.0 1.0 37.0 20.0 20.0 10.0 8.0 563.0 736.0 
3.0 26.0 1.0 38.0 5.0 5.0 10.0 16.0 147.0 560.0 
3.0 27.0 1.0 39.0 60.0 12.0 10.0 31.0 33.0 797.0 
3.0 28.0 1.0 42.0 24.0 12.0 10.0 5.0 25.0 616.0 
3.0 29.0 1.0 43.0 23.0 3.0 10.0 7.0 578.0 747.0 
3.0 30.0 1.0 44.0 11.0 14.0 10.0 18.0 72.0 501.0 
3.0 31.0 1.0 45.0 6.0 38.0 10.0 16.0 29.0 669.0 
3.0 32.0 1.0 46.0 2.0 48.0 10.0 1.0 458.0 685.0 
3.0 33.0 1.0 48.0 13.0 52.0 10.0 36.0 694.0 962.0 
3.0 34.0 1.0 49.0 6.0 68.0 10.0 30.0 444.0 597.0 
3.0 35.0 1.0 51.0 49.0 58.0 10.0 10.0 296.0 505.0 
3.0 36.0 1.0 53.0 37.0 31.0 10.0 14.0 301.0 602.0 
3.0 37.0 1.0 56.0 53.0 12.0 10.0 6.0 426.0 851.0 
3.0 38.0 1.0 57.0 32.0 12.0 10.0 7.0 366.0 585.0 
3.0 39.0 1.0 58.0 36.0 26.0 10.0 18.0 458.0 980.0 
3.0 40.0 1.0 59.0 21.0 24.0 10.0 28.0 17.0 441.0 
3.0 41.0 1.0 63.0 27.0 69.0 10.0 10.0 34.0 348.0 
3.0 42.0 1.0 64.0 15.0 77.0 10.0 9.0 46.0 523.0 
3.0 43.0 1.0 65.0 62.0 77.0 10.0 20.0 49.0 608.0 
3.0 44.0 1.0 66.0 49.0 73.0 10.0 25.0 440.0 845.0 
3.0 45.0 1.0 68.0 56.0 39.0 10.0 36.0 464.0 925.0 
3.0 46.0 1.0 69.0 37.0 47.0 10.0 6.0 12.0 535.0 
3.0 47.0 1.0 70.0 37.0 56.0 10.0 5.0 249.0 968.0 
3.0 48.0 1.0 71.0 57.0 68.0 10.0 15.0 218.0 417.0 
3.0 49.0 1.0 72.0 47.0 16.0 10.0 25.0 22.0 377.0 
3.0 50.0 1.0 73.0 44.0 17.0 10.0 9.0 263.0 444.0 
3.0 51.0 1.0 76.0 49.0 42.0 10.0 13.0 166.0 497.0 
3.0 52.0 1.0 77.0 53.0 43.0 10.0 14.0 430.0 970.0 
3.0 53.0 1.0 78.0 61.0 52.0 10.0 3.0 212.0 671.0 
3.0 54.0 1.0 83.0 14.0 37.0 10.0 11.0 21.0 328.0 
3.0 55.0 1.0 86.0 4.0 18.0 10.0 35.0 350.0 503.0 
3.0 56.0 1.0 87.0 28.0 18.0 10.0 26.0 380.0 487.0 
3.0 57.0 1.0 90.0 31.0 67.0 10.0 3.0 345.0 534.0 
3.0 58.0 1.0 91.0 15.0 19.0 10.0 1.0 675.0 930.0 
3.0 59.0 1.0 93.0 18.0 24.0 10.0 22.0 339.0 969.0 
3.0 60.0 1.0 95.0 25.0 24.0 10.0 20.0 22.0 301.0 
3.0 61.0 1.0 96.0 22.0 27.0 10.0 11.0 565.0 732.0 
3.0 62.0 1.0 97.0 25.0 21.0 10.0 12.0 582.0 703.0 
3.0 63.0 1.0 100.0 18.0 18.0 10.0 17.0 297.0 965.0 
3.0 64.0 2.0 1.0 41.0 49.0 10.0 3.0 636.0 919.0 
3.0 65.0 2.0 5.0 15.0 30.0 10.0 6.0 20.0 370.0 
3.0 66.0 2.0 6.0 25.0 30.0 10.0 0.0 266.0 663.0 
3.0 67.0 2.0 9.0 55.0 60.0 10.0 5.0 254.0 643.0 
3.0 68.0 2.0 11.0 20.0 65.0 10.0 8.0 33.0 510.0 
3.0 69.0 2.0 12.0 50.0 35.0 10.0 4.0 170.0 403.0 
3.0 70.0 2.0 26.0 45.0 30.0 10.0 3.0 548.0 707.0 
3.0 71.0 2.0 41.0 42.0 7.0 10.0 2.0 225.0 682.0 
3.0 72.0 2.0 47.0 8.0 56.0 10.0 13.0 34.0 362.0 
3.0 73.0 2.0 54.0 57.0 29.0 10.0 2.0 595.0 780.0 
3.0 74.0 2.0 55.0 63.0 23.0 10.0 0.0 442.0 917.0 
3.0 75.0 2.0 60.0 17.0 34.0 10.0 0.0 651.0 932.0 
3.0 76.0 2.0 79.0 57.0 48.0 10.0 9.0 273.0 580.0 
3.0 77.0 2.0 82.0 15.0 47.0 10.0 3.0 99.0 352.0 
3.0 78.0 2.0 84.0 11.0 31.0 10.0 3.0 323.0 624.0 
3.0 79.0 2.0 85.0 16.0 22.0 10.0 12.0 333.0 504.0 
3.0 80.0 2.0 88.0 26.0 52.0 10.0 2.0 114.0 553.0 
3.0 81.0 2.0 89.0 26.0 35.0 10.0 4.0 649.0 981.0 
3.0 82.0 2.0 94.0 26.0 27.0 10.0 7.0 403.0 536.0 
3.0 83.0 2.0 98.0 19.0 21.0 10.0 7.0 122.0 367.0 
3.0 84.0 2.0 99.0 20.0 26.0 10.0 6.0 185.0 580.0 

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

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

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

# wp Matrix:
7 4 3 
