# Size of Some Parameters:
101	10	200	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 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 93.0 65.0 85.0 90.0 0.0 0.0 1236.0 
2.0 3.0 0.0 69.0 45.0 35.0 90.0 0.0 0.0 1236.0 
2.0 4.0 0.0 8.0 38.0 68.0 90.0 0.0 0.0 1236.0 
2.0 5.0 0.0 3.0 42.0 66.0 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 82.0 75.0 55.0 90.0 0.0 0.0 1236.0 
2.0 8.0 0.0 16.0 20.0 85.0 90.0 0.0 0.0 1236.0 
2.0 9.0 0.0 94.0 65.0 82.0 90.0 0.0 0.0 1236.0 
2.0 10.0 0.0 78.0 88.0 35.0 90.0 0.0 0.0 1236.0 
2.0 11.0 0.0 1.0 45.0 68.0 90.0 0.0 0.0 1236.0 
2.0 12.0 0.0 75.0 45.0 65.0 90.0 0.0 0.0 1236.0 
3.0 1.0 1.0 2.0 45.0 70.0 90.0 30.0 802.0 893.0 
3.0 2.0 1.0 4.0 42.0 68.0 90.0 10.0 699.0 810.0 
3.0 3.0 1.0 5.0 42.0 65.0 90.0 10.0 15.0 120.0 
3.0 4.0 1.0 7.0 40.0 66.0 90.0 20.0 142.0 253.0 
3.0 5.0 1.0 9.0 38.0 70.0 90.0 10.0 499.0 640.0 
3.0 6.0 1.0 10.0 35.0 66.0 90.0 10.0 331.0 436.0 
3.0 7.0 1.0 11.0 35.0 69.0 90.0 10.0 420.0 533.0 
3.0 8.0 1.0 12.0 25.0 85.0 90.0 20.0 617.0 756.0 
3.0 9.0 1.0 13.0 22.0 75.0 90.0 30.0 30.0 155.0 
3.0 10.0 1.0 14.0 22.0 85.0 90.0 10.0 541.0 646.0 
3.0 11.0 1.0 15.0 20.0 80.0 90.0 40.0 362.0 451.0 
3.0 12.0 1.0 17.0 18.0 75.0 90.0 20.0 75.0 172.0 
3.0 13.0 1.0 18.0 15.0 75.0 90.0 20.0 142.0 291.0 
3.0 14.0 1.0 19.0 15.0 80.0 90.0 10.0 244.0 379.0 
3.0 15.0 1.0 21.0 30.0 52.0 90.0 20.0 888.0 991.0 
3.0 16.0 1.0 22.0 28.0 52.0 90.0 20.0 776.0 919.0 
3.0 17.0 1.0 23.0 28.0 55.0 90.0 10.0 709.0 800.0 
3.0 18.0 1.0 25.0 25.0 52.0 90.0 40.0 142.0 251.0 
3.0 19.0 1.0 26.0 25.0 55.0 90.0 10.0 582.0 741.0 
3.0 20.0 1.0 27.0 23.0 52.0 90.0 10.0 234.0 343.0 
3.0 21.0 1.0 28.0 23.0 55.0 90.0 20.0 523.0 616.0 
3.0 22.0 1.0 30.0 20.0 55.0 90.0 10.0 422.0 531.0 
3.0 23.0 1.0 31.0 10.0 35.0 90.0 20.0 181.0 256.0 
3.0 24.0 1.0 32.0 10.0 40.0 90.0 30.0 31.0 170.0 
3.0 25.0 1.0 34.0 8.0 45.0 90.0 20.0 719.0 848.0 
3.0 26.0 1.0 35.0 5.0 35.0 90.0 10.0 252.0 375.0 
3.0 27.0 1.0 37.0 2.0 40.0 90.0 20.0 357.0 460.0 
3.0 28.0 1.0 38.0 0.0 40.0 90.0 30.0 457.0 544.0 
3.0 29.0 1.0 39.0 0.0 45.0 90.0 20.0 538.0 653.0 
3.0 30.0 1.0 40.0 35.0 30.0 90.0 10.0 236.0 349.0 
3.0 31.0 1.0 41.0 35.0 32.0 90.0 10.0 132.0 269.0 
3.0 32.0 1.0 42.0 33.0 32.0 90.0 20.0 27.0 190.0 
3.0 33.0 1.0 43.0 33.0 35.0 90.0 10.0 16.0 144.0 
3.0 34.0 1.0 44.0 32.0 30.0 90.0 10.0 332.0 439.0 
3.0 35.0 1.0 45.0 30.0 30.0 90.0 10.0 512.0 629.0 
3.0 36.0 1.0 46.0 30.0 32.0 90.0 30.0 417.0 540.0 
3.0 37.0 1.0 47.0 30.0 35.0 90.0 10.0 982.0 1127.0 
3.0 38.0 1.0 48.0 28.0 30.0 90.0 10.0 601.0 724.0 
3.0 39.0 1.0 50.0 26.0 32.0 90.0 10.0 783.0 912.0 
3.0 40.0 1.0 51.0 25.0 30.0 90.0 10.0 695.0 816.0 
3.0 41.0 1.0 52.0 25.0 35.0 90.0 10.0 883.0 998.0 
3.0 42.0 1.0 54.0 42.0 10.0 90.0 40.0 150.0 293.0 
3.0 43.0 1.0 55.0 42.0 15.0 90.0 10.0 63.0 190.0 
3.0 44.0 1.0 56.0 40.0 5.0 90.0 30.0 359.0 462.0 
3.0 45.0 1.0 59.0 38.0 15.0 90.0 10.0 607.0 784.0 
3.0 46.0 1.0 60.0 35.0 5.0 90.0 20.0 529.0 662.0 
3.0 47.0 1.0 61.0 50.0 30.0 90.0 10.0 491.0 650.0 
3.0 48.0 1.0 62.0 50.0 35.0 90.0 20.0 235.0 344.0 
3.0 49.0 1.0 63.0 50.0 40.0 90.0 50.0 147.0 242.0 
3.0 50.0 1.0 64.0 48.0 30.0 90.0 10.0 601.0 724.0 
3.0 51.0 1.0 65.0 48.0 40.0 90.0 10.0 50.0 155.0 
3.0 52.0 1.0 66.0 47.0 35.0 90.0 10.0 802.0 899.0 
3.0 53.0 1.0 67.0 47.0 40.0 90.0 10.0 12.0 143.0 
3.0 54.0 1.0 68.0 45.0 30.0 90.0 10.0 712.0 799.0 
3.0 55.0 1.0 70.0 95.0 30.0 90.0 30.0 353.0 490.0 
3.0 56.0 1.0 72.0 53.0 30.0 90.0 10.0 422.0 533.0 
3.0 57.0 1.0 73.0 92.0 30.0 90.0 10.0 442.0 587.0 
3.0 58.0 1.0 80.0 85.0 25.0 90.0 10.0 744.0 845.0 
3.0 59.0 1.0 81.0 85.0 35.0 90.0 30.0 47.0 201.0 
3.0 60.0 1.0 83.0 72.0 55.0 90.0 10.0 228.0 375.0 
3.0 61.0 1.0 85.0 68.0 60.0 90.0 30.0 527.0 640.0 
3.0 62.0 1.0 86.0 66.0 55.0 90.0 10.0 141.0 270.0 
3.0 63.0 1.0 87.0 65.0 55.0 90.0 20.0 56.0 173.0 
3.0 64.0 1.0 88.0 65.0 60.0 90.0 30.0 614.0 739.0 
3.0 65.0 1.0 89.0 63.0 58.0 90.0 10.0 705.0 834.0 
3.0 66.0 1.0 90.0 60.0 55.0 90.0 10.0 20.0 148.0 
3.0 67.0 1.0 95.0 62.0 80.0 90.0 30.0 174.0 261.0 
3.0 68.0 1.0 96.0 60.0 80.0 90.0 10.0 64.0 187.0 
3.0 69.0 1.0 98.0 58.0 75.0 90.0 20.0 30.0 139.0 
3.0 70.0 1.0 99.0 55.0 80.0 90.0 10.0 705.0 858.0 
3.0 71.0 1.0 100.0 55.0 85.0 90.0 20.0 608.0 765.0 
3.0 72.0 2.0 6.0 40.0 69.0 90.0 3.0 580.0 743.0 
3.0 73.0 2.0 20.0 30.0 50.0 90.0 7.0 10.0 137.0 
3.0 74.0 2.0 24.0 25.0 50.0 90.0 1.0 25.0 184.0 
3.0 75.0 2.0 29.0 20.0 50.0 90.0 2.0 335.0 428.0 
3.0 76.0 2.0 33.0 8.0 40.0 90.0 16.0 52.0 193.0 
3.0 77.0 2.0 36.0 5.0 45.0 90.0 4.0 639.0 742.0 
3.0 78.0 2.0 49.0 28.0 35.0 90.0 6.0 969.0 1098.0 
3.0 79.0 2.0 53.0 44.0 5.0 90.0 7.0 255.0 378.0 
3.0 80.0 2.0 57.0 40.0 15.0 90.0 30.0 35.0 140.0 
3.0 81.0 2.0 58.0 38.0 5.0 90.0 10.0 439.0 566.0 
3.0 82.0 2.0 76.0 90.0 35.0 90.0 2.0 175.0 288.0 
3.0 83.0 2.0 77.0 88.0 30.0 90.0 7.0 539.0 678.0 
3.0 84.0 2.0 79.0 87.0 30.0 90.0 2.0 636.0 763.0 
3.0 85.0 2.0 84.0 70.0 58.0 90.0 8.0 425.0 556.0 
3.0 86.0 2.0 91.0 60.0 60.0 90.0 3.0 809.0 916.0 
3.0 87.0 2.0 92.0 67.0 85.0 90.0 5.0 331.0 478.0 
3.0 88.0 2.0 97.0 60.0 85.0 90.0 4.0 531.0 652.0 

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

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

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

# wp Matrix:
4 3 
