# Size of Some Parameters:
101	10	1000	25	1	12	71	17	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 68.0 56.0 39.0 10.0 0.0 0.0 1000.0 
2.0 3.0 0.0 90.0 31.0 67.0 10.0 0.0 0.0 1000.0 
2.0 4.0 0.0 59.0 21.0 24.0 10.0 0.0 0.0 1000.0 
2.0 5.0 0.0 45.0 6.0 38.0 10.0 0.0 0.0 1000.0 
2.0 6.0 0.0 88.0 26.0 52.0 10.0 0.0 0.0 1000.0 
2.0 7.0 0.0 91.0 15.0 19.0 10.0 0.0 0.0 1000.0 
2.0 8.0 0.0 56.0 53.0 12.0 10.0 0.0 0.0 1000.0 
2.0 9.0 0.0 6.0 25.0 30.0 10.0 0.0 0.0 1000.0 
2.0 10.0 0.0 82.0 15.0 47.0 10.0 0.0 0.0 1000.0 
2.0 11.0 0.0 19.0 15.0 60.0 10.0 0.0 0.0 1000.0 
2.0 12.0 0.0 13.0 30.0 25.0 10.0 0.0 0.0 1000.0 
3.0 1.0 1.0 1.0 41.0 49.0 10.0 10.0 0.0 974.0 
3.0 2.0 1.0 4.0 55.0 20.0 10.0 19.0 678.0 801.0 
3.0 3.0 1.0 5.0 15.0 30.0 10.0 26.0 0.0 969.0 
3.0 4.0 1.0 7.0 20.0 50.0 10.0 5.0 0.0 968.0 
3.0 5.0 1.0 8.0 10.0 43.0 10.0 9.0 404.0 481.0 
3.0 6.0 1.0 10.0 30.0 60.0 10.0 16.0 0.0 964.0 
3.0 7.0 1.0 11.0 20.0 65.0 10.0 12.0 206.0 325.0 
3.0 8.0 1.0 12.0 50.0 35.0 10.0 19.0 0.0 975.0 
3.0 9.0 1.0 14.0 15.0 10.0 10.0 20.0 0.0 957.0 
3.0 10.0 1.0 15.0 30.0 5.0 10.0 8.0 175.0 300.0 
3.0 11.0 1.0 16.0 10.0 20.0 10.0 19.0 0.0 960.0 
3.0 12.0 1.0 17.0 5.0 30.0 10.0 2.0 0.0 959.0 
3.0 13.0 1.0 18.0 20.0 40.0 10.0 12.0 0.0 974.0 
3.0 14.0 1.0 20.0 45.0 65.0 10.0 9.0 0.0 958.0 
3.0 15.0 1.0 21.0 45.0 20.0 10.0 11.0 0.0 971.0 
3.0 16.0 1.0 22.0 45.0 10.0 10.0 18.0 0.0 963.0 
3.0 17.0 1.0 23.0 55.0 5.0 10.0 29.0 206.0 325.0 
3.0 18.0 1.0 24.0 65.0 35.0 10.0 3.0 0.0 960.0 
3.0 19.0 1.0 25.0 65.0 20.0 10.0 6.0 817.0 956.0 
3.0 20.0 1.0 26.0 45.0 30.0 10.0 17.0 0.0 978.0 
3.0 21.0 1.0 27.0 35.0 40.0 10.0 16.0 0.0 985.0 
3.0 22.0 1.0 28.0 41.0 37.0 10.0 16.0 0.0 983.0 
3.0 23.0 1.0 29.0 64.0 42.0 10.0 9.0 0.0 960.0 
3.0 24.0 1.0 30.0 40.0 60.0 10.0 21.0 0.0 964.0 
3.0 25.0 1.0 31.0 31.0 52.0 10.0 27.0 0.0 972.0 
3.0 26.0 1.0 33.0 53.0 52.0 10.0 11.0 0.0 965.0 
3.0 27.0 1.0 34.0 65.0 55.0 10.0 14.0 0.0 953.0 
3.0 28.0 1.0 35.0 63.0 65.0 10.0 8.0 0.0 948.0 
3.0 29.0 1.0 36.0 2.0 60.0 10.0 5.0 0.0 948.0 
3.0 30.0 1.0 37.0 20.0 20.0 10.0 8.0 0.0 968.0 
3.0 31.0 1.0 39.0 60.0 12.0 10.0 31.0 0.0 956.0 
3.0 32.0 1.0 40.0 40.0 25.0 10.0 9.0 0.0 978.0 
3.0 33.0 1.0 41.0 42.0 7.0 10.0 5.0 0.0 961.0 
3.0 34.0 1.0 43.0 23.0 3.0 10.0 7.0 0.0 955.0 
3.0 35.0 1.0 44.0 11.0 14.0 10.0 18.0 233.0 340.0 
3.0 36.0 1.0 46.0 2.0 48.0 10.0 1.0 0.0 954.0 
3.0 37.0 1.0 47.0 8.0 56.0 10.0 27.0 0.0 955.0 
3.0 38.0 1.0 49.0 6.0 68.0 10.0 30.0 0.0 946.0 
3.0 39.0 1.0 51.0 49.0 58.0 10.0 10.0 0.0 963.0 
3.0 40.0 1.0 52.0 27.0 43.0 10.0 9.0 0.0 978.0 
3.0 41.0 1.0 57.0 32.0 12.0 10.0 7.0 0.0 966.0 
3.0 42.0 1.0 58.0 36.0 26.0 10.0 18.0 849.0 980.0 
3.0 43.0 1.0 60.0 17.0 34.0 10.0 3.0 0.0 971.0 
3.0 44.0 1.0 61.0 12.0 24.0 10.0 13.0 0.0 964.0 
3.0 45.0 1.0 63.0 27.0 69.0 10.0 10.0 0.0 955.0 
3.0 46.0 1.0 64.0 15.0 77.0 10.0 9.0 0.0 943.0 
3.0 47.0 1.0 66.0 49.0 73.0 10.0 25.0 0.0 949.0 
3.0 48.0 1.0 69.0 37.0 47.0 10.0 6.0 162.0 293.0 
3.0 49.0 1.0 70.0 37.0 56.0 10.0 5.0 0.0 968.0 
3.0 50.0 1.0 71.0 57.0 68.0 10.0 15.0 0.0 950.0 
3.0 51.0 1.0 72.0 47.0 16.0 10.0 25.0 0.0 967.0 
3.0 52.0 1.0 73.0 44.0 17.0 10.0 9.0 0.0 969.0 
3.0 53.0 1.0 75.0 49.0 11.0 10.0 18.0 0.0 962.0 
3.0 54.0 1.0 76.0 49.0 42.0 10.0 13.0 290.0 373.0 
3.0 55.0 1.0 78.0 61.0 52.0 10.0 3.0 0.0 958.0 
3.0 56.0 1.0 79.0 57.0 48.0 10.0 23.0 388.0 465.0 
3.0 57.0 1.0 80.0 56.0 37.0 10.0 6.0 0.0 968.0 
3.0 58.0 1.0 81.0 55.0 54.0 10.0 26.0 0.0 962.0 
3.0 59.0 1.0 83.0 14.0 37.0 10.0 11.0 0.0 968.0 
3.0 60.0 1.0 84.0 11.0 31.0 10.0 7.0 436.0 511.0 
3.0 61.0 1.0 85.0 16.0 22.0 10.0 41.0 0.0 966.0 
3.0 62.0 1.0 86.0 4.0 18.0 10.0 35.0 0.0 954.0 
3.0 63.0 1.0 87.0 28.0 18.0 10.0 26.0 420.0 447.0 
3.0 64.0 1.0 92.0 22.0 22.0 10.0 2.0 18.0 181.0 
3.0 65.0 1.0 93.0 18.0 24.0 10.0 22.0 0.0 969.0 
3.0 66.0 1.0 94.0 26.0 27.0 10.0 27.0 0.0 977.0 
3.0 67.0 1.0 95.0 25.0 24.0 10.0 20.0 0.0 975.0 
3.0 68.0 1.0 96.0 22.0 27.0 10.0 11.0 0.0 974.0 
3.0 69.0 1.0 97.0 25.0 21.0 10.0 12.0 0.0 972.0 
3.0 70.0 1.0 98.0 19.0 21.0 10.0 10.0 0.0 968.0 
3.0 71.0 1.0 99.0 20.0 26.0 10.0 9.0 333.0 432.0 
3.0 72.0 2.0 2.0 35.0 17.0 10.0 1.0 0.0 972.0 
3.0 73.0 2.0 3.0 55.0 45.0 10.0 10.0 0.0 967.0 
3.0 74.0 2.0 9.0 55.0 60.0 10.0 3.0 400.0 497.0 
3.0 75.0 2.0 32.0 35.0 69.0 10.0 1.0 0.0 956.0 
3.0 76.0 2.0 38.0 5.0 5.0 10.0 1.0 302.0 405.0 
3.0 77.0 2.0 42.0 24.0 12.0 10.0 4.0 0.0 964.0 
3.0 78.0 2.0 48.0 13.0 52.0 10.0 6.0 0.0 962.0 
3.0 79.0 2.0 50.0 47.0 47.0 10.0 1.0 0.0 973.0 
3.0 80.0 2.0 53.0 37.0 31.0 10.0 2.0 414.0 489.0 
3.0 81.0 2.0 54.0 57.0 29.0 10.0 2.0 0.0 967.0 
3.0 82.0 2.0 55.0 63.0 23.0 10.0 1.0 620.0 739.0 
3.0 83.0 2.0 62.0 24.0 58.0 10.0 2.0 163.0 302.0 
3.0 84.0 2.0 65.0 62.0 77.0 10.0 3.0 0.0 940.0 
3.0 85.0 2.0 67.0 67.0 5.0 10.0 6.0 294.0 401.0 
3.0 86.0 2.0 77.0 53.0 43.0 10.0 4.0 817.0 952.0 
3.0 87.0 2.0 89.0 26.0 35.0 10.0 1.0 0.0 981.0 
3.0 88.0 2.0 100.0 18.0 18.0 10.0 4.0 798.0 965.0 

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

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

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

# wp Matrix:
4 3 5 1 
