# Size of Some Parameters:
101	10	200	25	1	16	63	21	3	

# Data Matrix:
1.0 1.0 0.0 0.0 40.0 50.0 0.0 0.0 0.0 1236.0 
2.0 1.0 0.0 74.0 53.0 35.0 90.0 0.0 0.0 1236.0 
2.0 2.0 0.0 9.0 38.0 70.0 90.0 0.0 0.0 1236.0 
2.0 3.0 0.0 50.0 26.0 32.0 90.0 0.0 0.0 1236.0 
2.0 4.0 0.0 47.0 30.0 35.0 90.0 0.0 0.0 1236.0 
2.0 5.0 0.0 46.0 30.0 32.0 90.0 0.0 0.0 1236.0 
2.0 6.0 0.0 71.0 95.0 35.0 90.0 0.0 0.0 1236.0 
2.0 7.0 0.0 29.0 20.0 50.0 90.0 0.0 0.0 1236.0 
2.0 8.0 0.0 77.0 88.0 30.0 90.0 0.0 0.0 1236.0 
2.0 9.0 0.0 23.0 28.0 55.0 90.0 0.0 0.0 1236.0 
2.0 10.0 0.0 93.0 65.0 85.0 90.0 0.0 0.0 1236.0 
2.0 11.0 0.0 90.0 60.0 55.0 90.0 0.0 0.0 1236.0 
2.0 12.0 0.0 45.0 30.0 30.0 90.0 0.0 0.0 1236.0 
2.0 13.0 0.0 40.0 35.0 30.0 90.0 0.0 0.0 1236.0 
2.0 14.0 0.0 26.0 25.0 55.0 90.0 0.0 0.0 1236.0 
2.0 15.0 0.0 60.0 35.0 5.0 90.0 0.0 0.0 1236.0 
2.0 16.0 0.0 52.0 25.0 35.0 90.0 0.0 0.0 1236.0 
3.0 1.0 1.0 1.0 45.0 68.0 90.0 10.0 890.0 989.0 
3.0 2.0 1.0 2.0 45.0 70.0 90.0 30.0 816.0 879.0 
3.0 3.0 1.0 3.0 42.0 66.0 90.0 10.0 55.0 156.0 
3.0 4.0 1.0 6.0 40.0 69.0 90.0 20.0 559.0 764.0 
3.0 5.0 1.0 7.0 40.0 66.0 90.0 20.0 172.0 223.0 
3.0 6.0 1.0 11.0 35.0 69.0 90.0 10.0 450.0 503.0 
3.0 7.0 1.0 12.0 25.0 85.0 90.0 20.0 647.0 726.0 
3.0 8.0 1.0 14.0 22.0 85.0 90.0 10.0 571.0 616.0 
3.0 9.0 1.0 15.0 20.0 80.0 90.0 40.0 392.0 421.0 
3.0 10.0 1.0 16.0 20.0 85.0 90.0 40.0 478.0 525.0 
3.0 11.0 1.0 17.0 18.0 75.0 90.0 20.0 105.0 142.0 
3.0 12.0 1.0 18.0 15.0 75.0 90.0 20.0 172.0 261.0 
3.0 13.0 1.0 22.0 28.0 52.0 90.0 20.0 806.0 889.0 
3.0 14.0 1.0 25.0 25.0 52.0 90.0 40.0 172.0 221.0 
3.0 15.0 1.0 27.0 23.0 52.0 90.0 10.0 264.0 313.0 
3.0 16.0 1.0 30.0 20.0 55.0 90.0 10.0 452.0 501.0 
3.0 17.0 1.0 32.0 10.0 40.0 90.0 30.0 31.0 189.0 
3.0 18.0 1.0 33.0 8.0 40.0 90.0 40.0 42.0 203.0 
3.0 19.0 1.0 34.0 8.0 45.0 90.0 20.0 715.0 852.0 
3.0 20.0 1.0 35.0 5.0 35.0 90.0 10.0 251.0 376.0 
3.0 21.0 1.0 37.0 2.0 40.0 90.0 20.0 365.0 452.0 
3.0 22.0 1.0 38.0 0.0 40.0 90.0 30.0 474.0 527.0 
3.0 23.0 1.0 39.0 0.0 45.0 90.0 20.0 541.0 650.0 
3.0 24.0 1.0 41.0 35.0 32.0 90.0 10.0 123.0 278.0 
3.0 25.0 1.0 42.0 33.0 32.0 90.0 20.0 19.0 225.0 
3.0 26.0 1.0 43.0 33.0 35.0 90.0 10.0 16.0 153.0 
3.0 27.0 1.0 44.0 32.0 30.0 90.0 10.0 338.0 433.0 
3.0 28.0 1.0 48.0 28.0 30.0 90.0 10.0 599.0 726.0 
3.0 29.0 1.0 51.0 25.0 30.0 90.0 10.0 695.0 816.0 
3.0 30.0 1.0 53.0 44.0 5.0 90.0 20.0 221.0 412.0 
3.0 31.0 1.0 54.0 42.0 10.0 90.0 40.0 96.0 347.0 
3.0 32.0 1.0 55.0 42.0 15.0 90.0 10.0 35.0 233.0 
3.0 33.0 1.0 56.0 40.0 5.0 90.0 30.0 347.0 474.0 
3.0 34.0 1.0 58.0 38.0 5.0 90.0 30.0 403.0 602.0 
3.0 35.0 1.0 61.0 50.0 30.0 90.0 10.0 422.0 719.0 
3.0 36.0 1.0 62.0 50.0 35.0 90.0 20.0 217.0 362.0 
3.0 37.0 1.0 64.0 48.0 30.0 90.0 10.0 567.0 758.0 
3.0 38.0 1.0 65.0 48.0 40.0 90.0 10.0 34.0 171.0 
3.0 39.0 1.0 67.0 47.0 40.0 90.0 10.0 12.0 226.0 
3.0 40.0 1.0 68.0 45.0 30.0 90.0 10.0 716.0 795.0 
3.0 41.0 1.0 72.0 53.0 30.0 90.0 10.0 402.0 553.0 
3.0 42.0 1.0 73.0 92.0 30.0 90.0 10.0 345.0 684.0 
3.0 43.0 1.0 75.0 45.0 65.0 90.0 20.0 951.0 1114.0 
3.0 44.0 1.0 76.0 90.0 35.0 90.0 10.0 153.0 310.0 
3.0 45.0 1.0 78.0 88.0 35.0 90.0 20.0 50.0 237.0 
3.0 46.0 1.0 79.0 87.0 30.0 90.0 10.0 567.0 832.0 
3.0 47.0 1.0 80.0 85.0 25.0 90.0 10.0 713.0 876.0 
3.0 48.0 1.0 81.0 85.0 35.0 90.0 30.0 47.0 331.0 
3.0 49.0 1.0 82.0 75.0 55.0 90.0 20.0 311.0 478.0 
3.0 50.0 1.0 83.0 72.0 55.0 90.0 10.0 127.0 476.0 
3.0 51.0 1.0 84.0 70.0 58.0 90.0 20.0 349.0 632.0 
3.0 52.0 1.0 86.0 66.0 55.0 90.0 10.0 67.0 344.0 
3.0 53.0 1.0 88.0 65.0 60.0 90.0 30.0 546.0 807.0 
3.0 54.0 1.0 89.0 63.0 58.0 90.0 10.0 630.0 909.0 
3.0 55.0 1.0 91.0 60.0 60.0 90.0 10.0 769.0 956.0 
3.0 56.0 1.0 92.0 67.0 85.0 90.0 20.0 229.0 580.0 
3.0 57.0 1.0 94.0 65.0 82.0 90.0 10.0 227.0 394.0 
3.0 58.0 1.0 95.0 62.0 80.0 90.0 30.0 163.0 272.0 
3.0 59.0 1.0 96.0 60.0 80.0 90.0 10.0 36.0 291.0 
3.0 60.0 1.0 97.0 60.0 85.0 90.0 30.0 469.0 714.0 
3.0 61.0 1.0 98.0 58.0 75.0 90.0 20.0 30.0 227.0 
3.0 62.0 1.0 99.0 55.0 80.0 90.0 10.0 595.0 968.0 
3.0 63.0 1.0 100.0 55.0 85.0 90.0 20.0 493.0 880.0 
3.0 64.0 2.0 4.0 42.0 68.0 90.0 4.0 703.0 806.0 
3.0 65.0 2.0 5.0 42.0 65.0 90.0 4.0 72.0 117.0 
3.0 66.0 2.0 8.0 38.0 68.0 90.0 11.0 250.0 329.0 
3.0 67.0 2.0 10.0 35.0 66.0 90.0 4.0 361.0 406.0 
3.0 68.0 2.0 13.0 22.0 75.0 90.0 10.0 62.0 127.0 
3.0 69.0 2.0 19.0 15.0 80.0 90.0 4.0 274.0 349.0 
3.0 70.0 2.0 20.0 30.0 50.0 90.0 3.0 46.0 113.0 
3.0 71.0 2.0 21.0 30.0 52.0 90.0 8.0 918.0 961.0 
3.0 72.0 2.0 24.0 25.0 50.0 90.0 3.0 55.0 154.0 
3.0 73.0 2.0 28.0 23.0 55.0 90.0 13.0 553.0 586.0 
3.0 74.0 2.0 31.0 10.0 35.0 90.0 2.0 204.0 233.0 
3.0 75.0 2.0 36.0 5.0 45.0 90.0 1.0 648.0 733.0 
3.0 76.0 2.0 49.0 28.0 35.0 90.0 3.0 917.0 1126.0 
3.0 77.0 2.0 57.0 40.0 15.0 90.0 10.0 35.0 172.0 
3.0 78.0 2.0 59.0 38.0 15.0 90.0 1.0 521.0 870.0 
3.0 79.0 2.0 63.0 50.0 40.0 90.0 7.0 142.0 247.0 
3.0 80.0 2.0 66.0 47.0 35.0 90.0 3.0 794.0 907.0 
3.0 81.0 2.0 69.0 45.0 35.0 90.0 3.0 873.0 1012.0 
3.0 82.0 2.0 70.0 95.0 30.0 90.0 12.0 266.0 577.0 
3.0 83.0 2.0 85.0 68.0 60.0 90.0 6.0 476.0 691.0 
3.0 84.0 2.0 87.0 65.0 55.0 90.0 2.0 25.0 256.0 

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

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

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

# wp Matrix:
6 9 7 
