# Size of Some Parameters:
101	10	1000	25	1	20	54	26	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 94.0 26.0 27.0 10.0 0.0 0.0 1000.0 
2.0 3.0 0.0 21.0 45.0 20.0 10.0 0.0 0.0 1000.0 
2.0 4.0 0.0 50.0 47.0 47.0 10.0 0.0 0.0 1000.0 
2.0 5.0 0.0 32.0 35.0 69.0 10.0 0.0 0.0 1000.0 
2.0 6.0 0.0 66.0 49.0 73.0 10.0 0.0 0.0 1000.0 
2.0 7.0 0.0 13.0 30.0 25.0 10.0 0.0 0.0 1000.0 
2.0 8.0 0.0 69.0 37.0 47.0 10.0 0.0 0.0 1000.0 
2.0 9.0 0.0 97.0 25.0 21.0 10.0 0.0 0.0 1000.0 
2.0 10.0 0.0 92.0 22.0 22.0 10.0 0.0 0.0 1000.0 
2.0 11.0 0.0 48.0 13.0 52.0 10.0 0.0 0.0 1000.0 
2.0 12.0 0.0 72.0 47.0 16.0 10.0 0.0 0.0 1000.0 
2.0 13.0 0.0 58.0 36.0 26.0 10.0 0.0 0.0 1000.0 
2.0 14.0 0.0 85.0 16.0 22.0 10.0 0.0 0.0 1000.0 
2.0 15.0 0.0 56.0 53.0 12.0 10.0 0.0 0.0 1000.0 
2.0 16.0 0.0 45.0 6.0 38.0 10.0 0.0 0.0 1000.0 
2.0 17.0 0.0 4.0 55.0 20.0 10.0 0.0 0.0 1000.0 
2.0 18.0 0.0 52.0 27.0 43.0 10.0 0.0 0.0 1000.0 
2.0 19.0 0.0 70.0 37.0 56.0 10.0 0.0 0.0 1000.0 
2.0 20.0 0.0 89.0 26.0 35.0 10.0 0.0 0.0 1000.0 
3.0 1.0 1.0 1.0 41.0 49.0 10.0 10.0 707.0 848.0 
3.0 2.0 1.0 2.0 35.0 17.0 10.0 7.0 143.0 282.0 
3.0 3.0 1.0 3.0 55.0 45.0 10.0 13.0 527.0 584.0 
3.0 4.0 1.0 6.0 25.0 30.0 10.0 3.0 415.0 514.0 
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 9.0 55.0 60.0 10.0 16.0 400.0 497.0 
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 19.0 228.0 345.0 
3.0 9.0 1.0 15.0 30.0 5.0 10.0 8.0 175.0 300.0 
3.0 10.0 1.0 16.0 10.0 20.0 10.0 19.0 272.0 373.0 
3.0 11.0 1.0 17.0 5.0 30.0 10.0 2.0 733.0 870.0 
3.0 12.0 1.0 19.0 15.0 60.0 10.0 17.0 269.0 378.0 
3.0 13.0 1.0 20.0 45.0 65.0 10.0 9.0 581.0 666.0 
3.0 14.0 1.0 22.0 45.0 10.0 10.0 18.0 409.0 494.0 
3.0 15.0 1.0 23.0 55.0 5.0 10.0 29.0 206.0 325.0 
3.0 16.0 1.0 27.0 35.0 40.0 10.0 16.0 104.0 255.0 
3.0 17.0 1.0 28.0 41.0 37.0 10.0 16.0 114.0 255.0 
3.0 18.0 1.0 29.0 64.0 42.0 10.0 9.0 190.0 313.0 
3.0 19.0 1.0 30.0 40.0 60.0 10.0 21.0 259.0 354.0 
3.0 20.0 1.0 31.0 31.0 52.0 10.0 27.0 152.0 275.0 
3.0 21.0 1.0 35.0 63.0 65.0 10.0 8.0 686.0 813.0 
3.0 22.0 1.0 36.0 2.0 60.0 10.0 5.0 41.0 208.0 
3.0 23.0 1.0 38.0 5.0 5.0 10.0 16.0 302.0 405.0 
3.0 24.0 1.0 39.0 60.0 12.0 10.0 31.0 33.0 224.0 
3.0 25.0 1.0 40.0 40.0 25.0 10.0 9.0 360.0 437.0 
3.0 26.0 1.0 42.0 24.0 12.0 10.0 5.0 25.0 172.0 
3.0 27.0 1.0 44.0 11.0 14.0 10.0 18.0 233.0 340.0 
3.0 28.0 1.0 47.0 8.0 56.0 10.0 27.0 85.0 250.0 
3.0 29.0 1.0 49.0 6.0 68.0 10.0 30.0 501.0 540.0 
3.0 30.0 1.0 51.0 49.0 58.0 10.0 10.0 348.0 453.0 
3.0 31.0 1.0 53.0 37.0 31.0 10.0 14.0 414.0 489.0 
3.0 32.0 1.0 55.0 63.0 23.0 10.0 2.0 620.0 739.0 
3.0 33.0 1.0 57.0 32.0 12.0 10.0 7.0 421.0 530.0 
3.0 34.0 1.0 59.0 21.0 24.0 10.0 28.0 17.0 229.0 
3.0 35.0 1.0 62.0 24.0 58.0 10.0 19.0 163.0 302.0 
3.0 36.0 1.0 63.0 27.0 69.0 10.0 10.0 34.0 191.0 
3.0 37.0 1.0 64.0 15.0 77.0 10.0 9.0 214.0 333.0 
3.0 38.0 1.0 65.0 62.0 77.0 10.0 20.0 49.0 188.0 
3.0 39.0 1.0 68.0 56.0 39.0 10.0 36.0 637.0 752.0 
3.0 40.0 1.0 71.0 57.0 68.0 10.0 15.0 268.0 367.0 
3.0 41.0 1.0 76.0 49.0 42.0 10.0 13.0 290.0 373.0 
3.0 42.0 1.0 77.0 53.0 43.0 10.0 14.0 817.0 952.0 
3.0 43.0 1.0 81.0 55.0 54.0 10.0 26.0 411.0 456.0 
3.0 44.0 1.0 83.0 14.0 37.0 10.0 11.0 96.0 249.0 
3.0 45.0 1.0 86.0 4.0 18.0 10.0 35.0 388.0 465.0 
3.0 46.0 1.0 87.0 28.0 18.0 10.0 26.0 420.0 447.0 
3.0 47.0 1.0 88.0 26.0 52.0 10.0 9.0 279.0 388.0 
3.0 48.0 1.0 90.0 31.0 67.0 10.0 3.0 392.0 487.0 
3.0 49.0 1.0 91.0 15.0 19.0 10.0 1.0 739.0 866.0 
3.0 50.0 1.0 93.0 18.0 24.0 10.0 22.0 811.0 969.0 
3.0 51.0 1.0 95.0 25.0 24.0 10.0 20.0 92.0 231.0 
3.0 52.0 1.0 96.0 22.0 27.0 10.0 11.0 607.0 690.0 
3.0 53.0 1.0 99.0 20.0 26.0 10.0 9.0 333.0 432.0 
3.0 54.0 1.0 100.0 18.0 18.0 10.0 17.0 798.0 965.0 
3.0 55.0 2.0 5.0 15.0 30.0 10.0 25.0 34.0 209.0 
3.0 56.0 2.0 7.0 20.0 50.0 10.0 1.0 331.0 410.0 
3.0 57.0 2.0 10.0 30.0 60.0 10.0 13.0 577.0 632.0 
3.0 58.0 2.0 14.0 15.0 10.0 10.0 3.0 32.0 243.0 
3.0 59.0 2.0 18.0 20.0 40.0 10.0 4.0 377.0 434.0 
3.0 60.0 2.0 24.0 65.0 35.0 10.0 1.0 704.0 847.0 
3.0 61.0 2.0 25.0 65.0 20.0 10.0 4.0 817.0 956.0 
3.0 62.0 2.0 26.0 45.0 30.0 10.0 8.0 588.0 667.0 
3.0 63.0 2.0 33.0 53.0 52.0 10.0 6.0 45.0 200.0 
3.0 64.0 2.0 34.0 65.0 55.0 10.0 5.0 529.0 614.0 
3.0 65.0 2.0 37.0 20.0 20.0 10.0 4.0 606.0 693.0 
3.0 66.0 2.0 41.0 42.0 7.0 10.0 0.0 396.0 511.0 
3.0 67.0 2.0 43.0 23.0 3.0 10.0 2.0 620.0 705.0 
3.0 68.0 2.0 46.0 2.0 48.0 10.0 0.0 515.0 628.0 
3.0 69.0 2.0 54.0 57.0 29.0 10.0 6.0 641.0 734.0 
3.0 70.0 2.0 60.0 17.0 34.0 10.0 2.0 721.0 862.0 
3.0 71.0 2.0 61.0 12.0 24.0 10.0 9.0 290.0 377.0 
3.0 72.0 2.0 67.0 67.0 5.0 10.0 5.0 294.0 401.0 
3.0 73.0 2.0 73.0 44.0 17.0 10.0 7.0 308.0 399.0 
3.0 74.0 2.0 75.0 49.0 11.0 10.0 6.0 236.0 345.0 
3.0 75.0 2.0 78.0 61.0 52.0 10.0 1.0 384.0 499.0 
3.0 76.0 2.0 79.0 57.0 48.0 10.0 8.0 388.0 465.0 
3.0 77.0 2.0 80.0 56.0 37.0 10.0 4.0 839.0 968.0 
3.0 78.0 2.0 82.0 15.0 47.0 10.0 6.0 162.0 289.0 
3.0 79.0 2.0 84.0 11.0 31.0 10.0 4.0 436.0 511.0 
3.0 80.0 2.0 98.0 19.0 21.0 10.0 5.0 183.0 306.0 

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

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

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

# wp Matrix:
1 5 4 
