# Size of Some Parameters:
101	10	700	25	1	12	71	17	2	

# 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 45.0 30.0 30.0 90.0 0.0 0.0 3390.0 
2.0 3.0 0.0 6.0 16.0 42.0 90.0 0.0 0.0 3390.0 
2.0 4.0 0.0 73.0 92.0 30.0 90.0 0.0 0.0 3390.0 
2.0 5.0 0.0 42.0 33.0 32.0 90.0 0.0 0.0 3390.0 
2.0 6.0 0.0 9.0 28.0 70.0 90.0 0.0 0.0 3390.0 
2.0 7.0 0.0 92.0 67.0 85.0 90.0 0.0 0.0 3390.0 
2.0 8.0 0.0 41.0 35.0 32.0 90.0 0.0 0.0 3390.0 
2.0 9.0 0.0 78.0 78.0 40.0 90.0 0.0 0.0 3390.0 
2.0 10.0 0.0 90.0 60.0 55.0 90.0 0.0 0.0 3390.0 
2.0 11.0 0.0 88.0 65.0 60.0 90.0 0.0 0.0 3390.0 
2.0 12.0 0.0 99.0 55.0 80.0 90.0 0.0 0.0 3390.0 
3.0 1.0 1.0 2.0 45.0 70.0 90.0 30.0 133.0 453.0 
3.0 2.0 1.0 3.0 62.0 69.0 90.0 10.0 1087.0 1407.0 
3.0 3.0 1.0 4.0 60.0 66.0 90.0 10.0 1181.0 1501.0 
3.0 4.0 1.0 5.0 42.0 65.0 90.0 10.0 15.0 335.0 
3.0 5.0 1.0 8.0 34.0 60.0 90.0 20.0 2807.0 3127.0 
3.0 6.0 1.0 10.0 35.0 66.0 90.0 10.0 2711.0 3031.0 
3.0 7.0 1.0 11.0 35.0 69.0 90.0 10.0 2618.0 2938.0 
3.0 8.0 1.0 13.0 22.0 75.0 90.0 30.0 2325.0 2645.0 
3.0 9.0 1.0 14.0 22.0 85.0 90.0 10.0 1946.0 2266.0 
3.0 10.0 1.0 16.0 20.0 85.0 90.0 40.0 1854.0 2174.0 
3.0 11.0 1.0 17.0 18.0 75.0 90.0 20.0 2231.0 2551.0 
3.0 12.0 1.0 18.0 15.0 75.0 90.0 20.0 1662.0 1982.0 
3.0 13.0 1.0 19.0 15.0 80.0 90.0 10.0 1757.0 2077.0 
3.0 14.0 1.0 20.0 30.0 50.0 90.0 10.0 10.0 330.0 
3.0 15.0 1.0 21.0 30.0 56.0 90.0 20.0 2903.0 3223.0 
3.0 16.0 1.0 22.0 28.0 52.0 90.0 20.0 12.0 332.0 
3.0 17.0 1.0 23.0 14.0 66.0 90.0 10.0 1563.0 1883.0 
3.0 18.0 1.0 24.0 25.0 50.0 90.0 10.0 36.0 356.0 
3.0 19.0 1.0 25.0 22.0 66.0 90.0 40.0 2424.0 2744.0 
3.0 20.0 1.0 26.0 8.0 62.0 90.0 10.0 1465.0 1785.0 
3.0 21.0 1.0 27.0 23.0 52.0 90.0 10.0 129.0 449.0 
3.0 22.0 1.0 28.0 4.0 55.0 90.0 20.0 1367.0 1687.0 
3.0 23.0 1.0 29.0 20.0 50.0 90.0 10.0 318.0 638.0 
3.0 24.0 1.0 32.0 10.0 40.0 90.0 30.0 513.0 833.0 
3.0 25.0 1.0 34.0 8.0 45.0 90.0 20.0 1266.0 1586.0 
3.0 26.0 1.0 35.0 5.0 35.0 90.0 10.0 796.0 1116.0 
3.0 27.0 1.0 36.0 5.0 45.0 90.0 10.0 1173.0 1493.0 
3.0 28.0 1.0 38.0 0.0 40.0 90.0 30.0 983.0 1303.0 
3.0 29.0 1.0 39.0 0.0 45.0 90.0 20.0 1078.0 1398.0 
3.0 30.0 1.0 40.0 36.0 18.0 90.0 10.0 1739.0 2059.0 
3.0 31.0 1.0 43.0 33.0 35.0 90.0 10.0 2493.0 2813.0 
3.0 32.0 1.0 44.0 32.0 20.0 90.0 10.0 1833.0 2153.0 
3.0 33.0 1.0 46.0 34.0 25.0 90.0 30.0 1929.0 2249.0 
3.0 34.0 1.0 47.0 30.0 35.0 90.0 10.0 2400.0 2720.0 
3.0 35.0 1.0 48.0 36.0 40.0 90.0 10.0 2776.0 3096.0 
3.0 36.0 1.0 49.0 48.0 20.0 90.0 10.0 887.0 1207.0 
3.0 37.0 1.0 50.0 26.0 32.0 90.0 10.0 2212.0 2532.0 
3.0 38.0 1.0 52.0 25.0 35.0 90.0 10.0 2305.0 2625.0 
3.0 39.0 1.0 53.0 44.0 5.0 90.0 20.0 1176.0 1496.0 
3.0 40.0 1.0 54.0 42.0 10.0 90.0 40.0 1080.0 1400.0 
3.0 41.0 1.0 56.0 40.0 5.0 90.0 30.0 1270.0 1590.0 
3.0 42.0 1.0 57.0 38.0 15.0 90.0 40.0 1645.0 1965.0 
3.0 43.0 1.0 58.0 38.0 5.0 90.0 30.0 1362.0 1682.0 
3.0 44.0 1.0 59.0 38.0 10.0 90.0 10.0 1550.0 1870.0 
3.0 45.0 1.0 60.0 35.0 5.0 90.0 20.0 1455.0 1775.0 
3.0 46.0 1.0 61.0 50.0 30.0 90.0 10.0 321.0 641.0 
3.0 47.0 1.0 62.0 50.0 35.0 90.0 20.0 40.0 360.0 
3.0 48.0 1.0 64.0 48.0 30.0 90.0 10.0 413.0 733.0 
3.0 49.0 1.0 65.0 44.0 25.0 90.0 10.0 791.0 1111.0 
3.0 50.0 1.0 66.0 47.0 35.0 90.0 10.0 508.0 828.0 
3.0 51.0 1.0 67.0 47.0 40.0 90.0 10.0 12.0 332.0 
3.0 52.0 1.0 69.0 45.0 35.0 90.0 10.0 600.0 920.0 
3.0 53.0 1.0 70.0 95.0 30.0 90.0 30.0 2241.0 2561.0 
3.0 54.0 1.0 71.0 95.0 35.0 90.0 20.0 2146.0 2466.0 
3.0 55.0 1.0 72.0 53.0 30.0 90.0 10.0 228.0 548.0 
3.0 56.0 1.0 76.0 90.0 35.0 90.0 10.0 2051.0 2371.0 
3.0 57.0 1.0 77.0 72.0 45.0 90.0 10.0 2820.0 3140.0 
3.0 58.0 1.0 80.0 85.0 25.0 90.0 10.0 2433.0 2753.0 
3.0 59.0 1.0 81.0 85.0 35.0 90.0 30.0 2623.0 2943.0 
3.0 60.0 1.0 82.0 75.0 55.0 90.0 20.0 1845.0 2165.0 
3.0 61.0 1.0 83.0 72.0 55.0 90.0 10.0 1752.0 2072.0 
3.0 62.0 1.0 84.0 70.0 58.0 90.0 20.0 1561.0 1881.0 
3.0 63.0 1.0 85.0 86.0 46.0 90.0 30.0 1949.0 2269.0 
3.0 64.0 1.0 86.0 66.0 55.0 90.0 10.0 1656.0 1976.0 
3.0 65.0 1.0 87.0 64.0 46.0 90.0 20.0 2955.0 3275.0 
3.0 66.0 1.0 89.0 56.0 64.0 90.0 10.0 1275.0 1595.0 
3.0 67.0 1.0 93.0 42.0 58.0 90.0 40.0 8.0 328.0 
3.0 68.0 1.0 94.0 65.0 82.0 90.0 10.0 708.0 1028.0 
3.0 69.0 1.0 95.0 62.0 80.0 90.0 30.0 801.0 1121.0 
3.0 70.0 1.0 97.0 60.0 85.0 90.0 30.0 517.0 837.0 
3.0 71.0 1.0 98.0 58.0 75.0 90.0 20.0 898.0 1218.0 
3.0 72.0 2.0 1.0 52.0 75.0 90.0 4.0 231.0 551.0 
3.0 73.0 2.0 7.0 58.0 70.0 90.0 4.0 993.0 1313.0 
3.0 74.0 2.0 12.0 25.0 85.0 90.0 12.0 2039.0 2359.0 
3.0 75.0 2.0 15.0 20.0 80.0 90.0 28.0 2136.0 2456.0 
3.0 76.0 2.0 30.0 20.0 55.0 90.0 7.0 223.0 543.0 
3.0 77.0 2.0 31.0 10.0 35.0 90.0 10.0 701.0 1021.0 
3.0 78.0 2.0 33.0 8.0 40.0 90.0 31.0 605.0 925.0 
3.0 79.0 2.0 37.0 2.0 40.0 90.0 12.0 891.0 1211.0 
3.0 80.0 2.0 51.0 25.0 30.0 90.0 8.0 2120.0 2440.0 
3.0 81.0 2.0 55.0 42.0 15.0 90.0 1.0 985.0 1305.0 
3.0 82.0 2.0 63.0 50.0 40.0 90.0 42.0 14.0 334.0 
3.0 83.0 2.0 68.0 42.0 30.0 90.0 2.0 696.0 1016.0 
3.0 84.0 2.0 75.0 45.0 65.0 90.0 15.0 38.0 358.0 
3.0 85.0 2.0 79.0 87.0 30.0 90.0 7.0 2528.0 2848.0 
3.0 86.0 2.0 91.0 60.0 60.0 90.0 5.0 1371.0 1691.0 
3.0 87.0 2.0 96.0 62.0 40.0 90.0 4.0 2921.0 3241.0 
3.0 88.0 2.0 100.0 55.0 85.0 90.0 1.0 422.0 742.0 

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

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

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

# wp Matrix:
3 2 
