# Size of Some Parameters:
101	10	700	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 3390.0 
2.0 1.0 0.0 74.0 53.0 35.0 90.0 0.0 0.0 3390.0 
2.0 2.0 0.0 78.0 78.0 40.0 90.0 0.0 0.0 3390.0 
2.0 3.0 0.0 60.0 35.0 5.0 90.0 0.0 0.0 3390.0 
2.0 4.0 0.0 94.0 65.0 82.0 90.0 0.0 0.0 3390.0 
2.0 5.0 0.0 40.0 36.0 18.0 90.0 0.0 0.0 3390.0 
2.0 6.0 0.0 59.0 38.0 10.0 90.0 0.0 0.0 3390.0 
2.0 7.0 0.0 50.0 26.0 32.0 90.0 0.0 0.0 3390.0 
2.0 8.0 0.0 92.0 67.0 85.0 90.0 0.0 0.0 3390.0 
2.0 9.0 0.0 38.0 0.0 40.0 90.0 0.0 0.0 3390.0 
2.0 10.0 0.0 10.0 35.0 66.0 90.0 0.0 0.0 3390.0 
2.0 11.0 0.0 48.0 36.0 40.0 90.0 0.0 0.0 3390.0 
2.0 12.0 0.0 68.0 42.0 30.0 90.0 0.0 0.0 3390.0 
2.0 13.0 0.0 23.0 14.0 66.0 90.0 0.0 0.0 3390.0 
2.0 14.0 0.0 11.0 35.0 69.0 90.0 0.0 0.0 3390.0 
2.0 15.0 0.0 42.0 33.0 32.0 90.0 0.0 0.0 3390.0 
2.0 16.0 0.0 12.0 25.0 85.0 90.0 0.0 0.0 3390.0 
2.0 17.0 0.0 5.0 42.0 65.0 90.0 0.0 0.0 3390.0 
2.0 18.0 0.0 34.0 8.0 45.0 90.0 0.0 0.0 3390.0 
2.0 19.0 0.0 36.0 5.0 45.0 90.0 0.0 0.0 3390.0 
2.0 20.0 0.0 8.0 34.0 60.0 90.0 0.0 0.0 3390.0 
3.0 1.0 1.0 1.0 52.0 75.0 90.0 10.0 311.0 471.0 
3.0 2.0 1.0 2.0 45.0 70.0 90.0 30.0 213.0 373.0 
3.0 3.0 1.0 3.0 62.0 69.0 90.0 10.0 1167.0 1327.0 
3.0 4.0 1.0 4.0 60.0 66.0 90.0 10.0 1261.0 1421.0 
3.0 5.0 1.0 6.0 16.0 42.0 90.0 20.0 497.0 657.0 
3.0 6.0 1.0 7.0 58.0 70.0 90.0 20.0 1073.0 1233.0 
3.0 7.0 1.0 14.0 22.0 85.0 90.0 10.0 2026.0 2186.0 
3.0 8.0 1.0 15.0 20.0 80.0 90.0 40.0 2216.0 2376.0 
3.0 9.0 1.0 17.0 18.0 75.0 90.0 20.0 2311.0 2471.0 
3.0 10.0 1.0 21.0 30.0 56.0 90.0 20.0 2983.0 3143.0 
3.0 11.0 1.0 22.0 28.0 52.0 90.0 20.0 22.0 182.0 
3.0 12.0 1.0 24.0 25.0 50.0 90.0 10.0 116.0 276.0 
3.0 13.0 1.0 25.0 22.0 66.0 90.0 40.0 2504.0 2664.0 
3.0 14.0 1.0 26.0 8.0 62.0 90.0 10.0 1545.0 1705.0 
3.0 15.0 1.0 27.0 23.0 52.0 90.0 10.0 209.0 369.0 
3.0 16.0 1.0 28.0 4.0 55.0 90.0 20.0 1447.0 1607.0 
3.0 17.0 1.0 29.0 20.0 50.0 90.0 10.0 398.0 558.0 
3.0 18.0 1.0 30.0 20.0 55.0 90.0 10.0 303.0 463.0 
3.0 19.0 1.0 32.0 10.0 40.0 90.0 30.0 593.0 753.0 
3.0 20.0 1.0 33.0 8.0 40.0 90.0 40.0 685.0 845.0 
3.0 21.0 1.0 35.0 5.0 35.0 90.0 10.0 876.0 1036.0 
3.0 22.0 1.0 37.0 2.0 40.0 90.0 20.0 971.0 1131.0 
3.0 23.0 1.0 39.0 0.0 45.0 90.0 20.0 1158.0 1318.0 
3.0 24.0 1.0 41.0 35.0 32.0 90.0 10.0 2758.0 2918.0 
3.0 25.0 1.0 44.0 32.0 20.0 90.0 10.0 1913.0 2073.0 
3.0 26.0 1.0 45.0 30.0 30.0 90.0 10.0 2105.0 2265.0 
3.0 27.0 1.0 46.0 34.0 25.0 90.0 30.0 2009.0 2169.0 
3.0 28.0 1.0 47.0 30.0 35.0 90.0 10.0 2480.0 2640.0 
3.0 29.0 1.0 49.0 48.0 20.0 90.0 10.0 967.0 1127.0 
3.0 30.0 1.0 51.0 25.0 30.0 90.0 10.0 2200.0 2360.0 
3.0 31.0 1.0 52.0 25.0 35.0 90.0 10.0 2385.0 2545.0 
3.0 32.0 1.0 53.0 44.0 5.0 90.0 20.0 1256.0 1416.0 
3.0 33.0 1.0 54.0 42.0 10.0 90.0 40.0 1160.0 1320.0 
3.0 34.0 1.0 55.0 42.0 15.0 90.0 10.0 1065.0 1225.0 
3.0 35.0 1.0 56.0 40.0 5.0 90.0 30.0 1350.0 1510.0 
3.0 36.0 1.0 57.0 38.0 15.0 90.0 40.0 1725.0 1885.0 
3.0 37.0 1.0 61.0 50.0 30.0 90.0 10.0 401.0 561.0 
3.0 38.0 1.0 62.0 50.0 35.0 90.0 20.0 120.0 280.0 
3.0 39.0 1.0 63.0 50.0 40.0 90.0 50.0 25.0 185.0 
3.0 40.0 1.0 64.0 48.0 30.0 90.0 10.0 493.0 653.0 
3.0 41.0 1.0 65.0 44.0 25.0 90.0 10.0 871.0 1031.0 
3.0 42.0 1.0 66.0 47.0 35.0 90.0 10.0 588.0 748.0 
3.0 43.0 1.0 67.0 47.0 40.0 90.0 10.0 12.0 172.0 
3.0 44.0 1.0 69.0 45.0 35.0 90.0 10.0 680.0 840.0 
3.0 45.0 1.0 70.0 95.0 30.0 90.0 30.0 2321.0 2481.0 
3.0 46.0 1.0 71.0 95.0 35.0 90.0 20.0 2226.0 2386.0 
3.0 47.0 1.0 73.0 92.0 30.0 90.0 10.0 2414.0 2574.0 
3.0 48.0 1.0 75.0 45.0 65.0 90.0 20.0 118.0 278.0 
3.0 49.0 1.0 76.0 90.0 35.0 90.0 10.0 2131.0 2291.0 
3.0 50.0 1.0 77.0 72.0 45.0 90.0 10.0 2900.0 3060.0 
3.0 51.0 1.0 80.0 85.0 25.0 90.0 10.0 2513.0 2673.0 
3.0 52.0 1.0 81.0 85.0 35.0 90.0 30.0 2703.0 2863.0 
3.0 53.0 1.0 82.0 75.0 55.0 90.0 20.0 1925.0 2085.0 
3.0 54.0 1.0 83.0 72.0 55.0 90.0 10.0 1832.0 1992.0 
3.0 55.0 1.0 87.0 64.0 46.0 90.0 20.0 3097.0 3257.0 
3.0 56.0 1.0 88.0 65.0 60.0 90.0 30.0 1546.0 1706.0 
3.0 57.0 1.0 89.0 56.0 64.0 90.0 10.0 1355.0 1515.0 
3.0 58.0 1.0 93.0 42.0 58.0 90.0 40.0 8.0 168.0 
3.0 59.0 1.0 95.0 62.0 80.0 90.0 30.0 881.0 1041.0 
3.0 60.0 1.0 96.0 62.0 40.0 90.0 10.0 3001.0 3161.0 
3.0 61.0 1.0 97.0 60.0 85.0 90.0 30.0 597.0 757.0 
3.0 62.0 1.0 98.0 58.0 75.0 90.0 20.0 978.0 1138.0 
3.0 63.0 1.0 99.0 55.0 80.0 90.0 10.0 407.0 567.0 
3.0 64.0 1.0 100.0 55.0 85.0 90.0 20.0 502.0 662.0 
3.0 65.0 2.0 9.0 28.0 70.0 90.0 2.0 2601.0 2761.0 
3.0 66.0 2.0 13.0 22.0 75.0 90.0 8.0 2405.0 2565.0 
3.0 67.0 2.0 16.0 20.0 85.0 90.0 7.0 1934.0 2094.0 
3.0 68.0 2.0 18.0 15.0 75.0 90.0 5.0 1742.0 1902.0 
3.0 69.0 2.0 19.0 15.0 80.0 90.0 3.0 1837.0 1997.0 
3.0 70.0 2.0 20.0 30.0 50.0 90.0 1.0 10.0 170.0 
3.0 71.0 2.0 31.0 10.0 35.0 90.0 4.0 781.0 941.0 
3.0 72.0 2.0 43.0 33.0 35.0 90.0 4.0 2573.0 2733.0 
3.0 73.0 2.0 58.0 38.0 5.0 90.0 22.0 1442.0 1602.0 
3.0 74.0 2.0 72.0 53.0 30.0 90.0 4.0 308.0 468.0 
3.0 75.0 2.0 79.0 87.0 30.0 90.0 3.0 2608.0 2768.0 
3.0 76.0 2.0 84.0 70.0 58.0 90.0 3.0 1641.0 1801.0 
3.0 77.0 2.0 85.0 86.0 46.0 90.0 3.0 2029.0 2189.0 
3.0 78.0 2.0 86.0 66.0 55.0 90.0 4.0 1736.0 1896.0 
3.0 79.0 2.0 90.0 60.0 55.0 90.0 3.0 3119.0 3279.0 
3.0 80.0 2.0 91.0 60.0 60.0 90.0 4.0 1451.0 1611.0 

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

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

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

# wp Matrix:
6 4 3 
