# 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 18.0 20.0 40.0 10.0 0.0 0.0 1000.0 
2.0 3.0 0.0 61.0 12.0 24.0 10.0 0.0 0.0 1000.0 
2.0 4.0 0.0 94.0 26.0 27.0 10.0 0.0 0.0 1000.0 
2.0 5.0 0.0 57.0 32.0 12.0 10.0 0.0 0.0 1000.0 
2.0 6.0 0.0 90.0 31.0 67.0 10.0 0.0 0.0 1000.0 
2.0 7.0 0.0 64.0 15.0 77.0 10.0 0.0 0.0 1000.0 
2.0 8.0 0.0 42.0 24.0 12.0 10.0 0.0 0.0 1000.0 
2.0 9.0 0.0 27.0 35.0 40.0 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 56.0 53.0 12.0 10.0 0.0 0.0 1000.0 
2.0 12.0 0.0 79.0 57.0 48.0 10.0 0.0 0.0 1000.0 
2.0 13.0 0.0 32.0 35.0 69.0 10.0 0.0 0.0 1000.0 
2.0 14.0 0.0 95.0 25.0 24.0 10.0 0.0 0.0 1000.0 
2.0 15.0 0.0 48.0 13.0 52.0 10.0 0.0 0.0 1000.0 
2.0 16.0 0.0 55.0 63.0 23.0 10.0 0.0 0.0 1000.0 
3.0 1.0 1.0 1.0 41.0 49.0 10.0 10.0 451.0 974.0 
3.0 2.0 1.0 2.0 35.0 17.0 10.0 7.0 18.0 534.0 
3.0 3.0 1.0 3.0 55.0 45.0 10.0 13.0 378.0 733.0 
3.0 4.0 1.0 4.0 55.0 20.0 10.0 19.0 477.0 965.0 
3.0 5.0 1.0 5.0 15.0 30.0 10.0 26.0 20.0 610.0 
3.0 6.0 1.0 6.0 25.0 30.0 10.0 3.0 245.0 684.0 
3.0 7.0 1.0 8.0 10.0 43.0 10.0 9.0 245.0 640.0 
3.0 8.0 1.0 9.0 55.0 60.0 10.0 16.0 231.0 666.0 
3.0 9.0 1.0 10.0 30.0 60.0 10.0 16.0 430.0 779.0 
3.0 10.0 1.0 11.0 20.0 65.0 10.0 12.0 33.0 511.0 
3.0 11.0 1.0 12.0 50.0 35.0 10.0 19.0 50.0 523.0 
3.0 12.0 1.0 13.0 30.0 25.0 10.0 23.0 462.0 978.0 
3.0 13.0 1.0 14.0 15.0 10.0 10.0 20.0 32.0 694.0 
3.0 14.0 1.0 15.0 30.0 5.0 10.0 8.0 30.0 519.0 
3.0 15.0 1.0 16.0 10.0 20.0 10.0 19.0 102.0 543.0 
3.0 16.0 1.0 17.0 5.0 30.0 10.0 2.0 444.0 959.0 
3.0 17.0 1.0 19.0 15.0 60.0 10.0 17.0 95.0 552.0 
3.0 18.0 1.0 20.0 45.0 65.0 10.0 9.0 418.0 829.0 
3.0 19.0 1.0 21.0 45.0 20.0 10.0 11.0 36.0 509.0 
3.0 20.0 1.0 22.0 45.0 10.0 10.0 18.0 246.0 657.0 
3.0 21.0 1.0 23.0 55.0 5.0 10.0 29.0 36.0 514.0 
3.0 22.0 1.0 25.0 65.0 20.0 10.0 6.0 438.0 956.0 
3.0 23.0 1.0 29.0 64.0 42.0 10.0 9.0 29.0 513.0 
3.0 24.0 1.0 31.0 31.0 52.0 10.0 27.0 17.0 501.0 
3.0 25.0 1.0 33.0 53.0 52.0 10.0 11.0 24.0 575.0 
3.0 26.0 1.0 34.0 65.0 55.0 10.0 14.0 367.0 776.0 
3.0 27.0 1.0 35.0 63.0 65.0 10.0 8.0 453.0 948.0 
3.0 28.0 1.0 37.0 20.0 20.0 10.0 8.0 443.0 856.0 
3.0 29.0 1.0 38.0 5.0 5.0 10.0 16.0 130.0 577.0 
3.0 30.0 1.0 40.0 40.0 25.0 10.0 9.0 201.0 596.0 
3.0 31.0 1.0 43.0 23.0 3.0 10.0 7.0 458.0 867.0 
3.0 32.0 1.0 44.0 11.0 14.0 10.0 18.0 59.0 514.0 
3.0 33.0 1.0 45.0 6.0 38.0 10.0 16.0 29.0 589.0 
3.0 34.0 1.0 47.0 8.0 56.0 10.0 27.0 34.0 602.0 
3.0 35.0 1.0 52.0 27.0 43.0 10.0 9.0 11.0 502.0 
3.0 36.0 1.0 53.0 37.0 31.0 10.0 14.0 256.0 647.0 
3.0 37.0 1.0 54.0 57.0 29.0 10.0 18.0 475.0 900.0 
3.0 38.0 1.0 58.0 36.0 26.0 10.0 18.0 479.0 980.0 
3.0 39.0 1.0 59.0 21.0 24.0 10.0 28.0 17.0 681.0 
3.0 40.0 1.0 60.0 17.0 34.0 10.0 3.0 449.0 971.0 
3.0 41.0 1.0 62.0 24.0 58.0 10.0 19.0 25.0 544.0 
3.0 42.0 1.0 67.0 67.0 5.0 10.0 25.0 120.0 575.0 
3.0 43.0 1.0 68.0 56.0 39.0 10.0 36.0 459.0 930.0 
3.0 44.0 1.0 69.0 37.0 47.0 10.0 6.0 12.0 513.0 
3.0 45.0 1.0 70.0 37.0 56.0 10.0 5.0 368.0 968.0 
3.0 46.0 1.0 71.0 57.0 68.0 10.0 15.0 98.0 537.0 
3.0 47.0 1.0 72.0 47.0 16.0 10.0 25.0 22.0 617.0 
3.0 48.0 1.0 73.0 44.0 17.0 10.0 9.0 143.0 564.0 
3.0 49.0 1.0 75.0 49.0 11.0 10.0 18.0 62.0 519.0 
3.0 50.0 1.0 80.0 56.0 37.0 10.0 6.0 470.0 968.0 
3.0 51.0 1.0 83.0 14.0 37.0 10.0 11.0 21.0 568.0 
3.0 52.0 1.0 84.0 11.0 31.0 10.0 7.0 278.0 669.0 
3.0 53.0 1.0 85.0 16.0 22.0 10.0 41.0 213.0 624.0 
3.0 54.0 1.0 86.0 4.0 18.0 10.0 35.0 230.0 623.0 
3.0 55.0 1.0 87.0 28.0 18.0 10.0 26.0 287.0 580.0 
3.0 56.0 1.0 88.0 26.0 52.0 10.0 9.0 104.0 563.0 
3.0 57.0 1.0 89.0 26.0 35.0 10.0 15.0 409.0 981.0 
3.0 58.0 1.0 91.0 15.0 19.0 10.0 1.0 469.0 964.0 
3.0 59.0 1.0 93.0 18.0 24.0 10.0 22.0 414.0 969.0 
3.0 60.0 1.0 96.0 22.0 27.0 10.0 11.0 445.0 852.0 
3.0 61.0 1.0 98.0 19.0 21.0 10.0 10.0 21.0 506.0 
3.0 62.0 1.0 99.0 20.0 26.0 10.0 9.0 164.0 601.0 
3.0 63.0 1.0 100.0 18.0 18.0 10.0 17.0 391.0 965.0 
3.0 64.0 2.0 7.0 20.0 50.0 10.0 0.0 172.0 569.0 
3.0 65.0 2.0 24.0 65.0 35.0 10.0 0.0 435.0 960.0 
3.0 66.0 2.0 26.0 45.0 30.0 10.0 5.0 428.0 827.0 
3.0 67.0 2.0 28.0 41.0 37.0 10.0 10.0 6.0 526.0 
3.0 68.0 2.0 30.0 40.0 60.0 10.0 13.0 91.0 522.0 
3.0 69.0 2.0 36.0 2.0 60.0 10.0 0.0 41.0 615.0 
3.0 70.0 2.0 39.0 60.0 12.0 10.0 15.0 33.0 655.0 
3.0 71.0 2.0 41.0 42.0 7.0 10.0 0.0 219.0 688.0 
3.0 72.0 2.0 46.0 2.0 48.0 10.0 0.0 338.0 805.0 
3.0 73.0 2.0 49.0 6.0 68.0 10.0 4.0 362.0 679.0 
3.0 74.0 2.0 50.0 47.0 47.0 10.0 4.0 379.0 810.0 
3.0 75.0 2.0 51.0 49.0 58.0 10.0 4.0 176.0 625.0 
3.0 76.0 2.0 63.0 27.0 69.0 10.0 4.0 34.0 588.0 
3.0 77.0 2.0 65.0 62.0 77.0 10.0 8.0 49.0 568.0 
3.0 78.0 2.0 66.0 49.0 73.0 10.0 1.0 421.0 864.0 
3.0 79.0 2.0 76.0 49.0 42.0 10.0 7.0 129.0 534.0 
3.0 80.0 2.0 77.0 53.0 43.0 10.0 8.0 460.0 970.0 
3.0 81.0 2.0 78.0 61.0 52.0 10.0 0.0 207.0 676.0 
3.0 82.0 2.0 82.0 15.0 47.0 10.0 7.0 23.0 515.0 
3.0 83.0 2.0 92.0 22.0 22.0 10.0 0.0 18.0 585.0 
3.0 84.0 2.0 97.0 25.0 21.0 10.0 6.0 462.0 823.0 

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

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

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

# wp Matrix:
6 8 9 
