https://pastein.ru/t/l-S
Загрузка данных
// Created by Crowbar 0.74
version 1
nodes
0 "ValveBiped.Bip01_Pelvis" -1
1 "ValveBiped.Bip01_Spine" 0
2 "ValveBiped.Bip01_Spine1" 1
3 "ValveBiped.Bip01_Spine2" 2
4 "ValveBiped.Bip01_Spine4" 3
5 "ValveBiped.Bip01_Neck1" 4
6 "ValveBiped.Bip01_Head1" 5
7 "ValveBiped.forward" 6
8 "ValveBiped.Bip01_L_Clavicle" 4
9 "ValveBiped.Bip01_L_UpperArm" 8
10 "ValveBiped.Bip01_L_Forearm" 9
11 "ValveBiped.Bip01_L_Hand" 10
12 "ValveBiped.Anim_Attachment_LH" 11
13 "ValveBiped.Bip01_R_Clavicle" 4
14 "ValveBiped.Bip01_R_UpperArm" 13
15 "ValveBiped.Bip01_R_Forearm" 14
16 "ValveBiped.Bip01_R_Hand" 15
17 "ValveBiped.Anim_Attachment_RH" 16
18 "ValveBiped.Bip01_L_Thigh" 0
19 "ValveBiped.Bip01_L_Calf" 18
20 "ValveBiped.Bip01_L_Foot" 19
21 "ValveBiped.Bip01_L_Toe0" 20
22 "ValveBiped.Bip01_R_Thigh" 0
23 "ValveBiped.Bip01_R_Calf" 22
24 "ValveBiped.Bip01_R_Foot" 23
25 "ValveBiped.Bip01_R_Toe0" 24
26 "ValveBiped.Bip01_L_Finger4" 11
27 "ValveBiped.Bip01_L_Finger41" 26
28 "ValveBiped.Bip01_L_Finger42" 27
29 "ValveBiped.Bip01_L_Finger3" 11
30 "ValveBiped.Bip01_L_Finger31" 29
31 "ValveBiped.Bip01_L_Finger32" 30
32 "ValveBiped.Bip01_L_Finger2" 11
33 "ValveBiped.Bip01_L_Finger21" 32
34 "ValveBiped.Bip01_L_Finger22" 33
35 "ValveBiped.Bip01_L_Finger1" 11
36 "ValveBiped.Bip01_L_Finger11" 35
37 "ValveBiped.Bip01_L_Finger12" 36
38 "ValveBiped.Bip01_L_Finger0" 11
39 "ValveBiped.Bip01_L_Finger01" 38
40 "ValveBiped.Bip01_L_Finger02" 39
41 "ValveBiped.Bip01_R_Finger4" 16
42 "ValveBiped.Bip01_R_Finger41" 41
43 "ValveBiped.Bip01_R_Finger42" 42
44 "ValveBiped.Bip01_R_Finger3" 16
45 "ValveBiped.Bip01_R_Finger31" 44
46 "ValveBiped.Bip01_R_Finger32" 45
47 "ValveBiped.Bip01_R_Finger2" 16
48 "ValveBiped.Bip01_R_Finger21" 47
49 "ValveBiped.Bip01_R_Finger22" 48
50 "ValveBiped.Bip01_R_Finger1" 16
51 "ValveBiped.Bip01_R_Finger11" 50
52 "ValveBiped.Bip01_R_Finger12" 51
53 "ValveBiped.Bip01_R_Finger0" 16
54 "ValveBiped.Bip01_R_Finger01" 53
55 "ValveBiped.Bip01_R_Finger02" 54
56 "ValveBiped.Bip01_L_Trapezius" 8
57 "ValveBiped.Bip01_L_Ulna" 10
58 "ValveBiped.Bip01_R_Ulna" 15
59 "ValveBiped.Bip01_L_Wrist" 10
60 "ValveBiped.Bip01_L_Bicep" 9
61 "ValveBiped.Bip01_L_Latt" 3
62 "ValveBiped.Bip01_L_Pectoral" 3
63 "ValveBiped.Bip01_R_Elbow" 14
64 "ValveBiped.Bip01_R_Pectoral" 3
65 "ValveBiped.Bip01_R_Latt" 3
66 "ValveBiped.Bip01_L_Shoulder" 9
67 "ValveBiped.Bip01_R_Wrist" 15
68 "ValveBiped.Bip01_L_Elbow" 9
69 "ValveBiped.Bip01_R_Trapezius" 13
70 "ValveBiped.Bip01_R_Shoulder" 14
71 "ValveBiped.Bip01_R_Bicep" 14
end
skeleton
time 0
0 -0.000005 -0.788460 37.913784 1.570796 0.000000 0.000000
1 0.000005 4.212784 -1.689857 1.570796 -0.027977 1.570796
2 3.837406 0.000000 0.000000 0.000000 0.000000 -0.112614
3 3.617867 0.000000 0.000000 0.000000 0.000000 -0.012635
4 7.539783 0.000000 0.000000 0.000000 0.000000 0.155813
5 3.178295 0.000000 0.000000 3.141590 0.000000 0.224127
6 2.970276 0.000000 0.000000 0.000000 0.000000 0.109880
7 0.000000 -0.000001 0.000000 -1.570796 0.000000 -1.326450
8 2.023708 0.907460 0.852579 1.638357 -1.334136 2.900115
9 4.983667 0.000004 0.000000 -1.519239 0.241014 -0.753622
10 11.123062 0.000000 -0.000004 0.000000 0.000000 -0.203544
11 11.208305 -0.000001 -0.000004 1.505416 -0.038605 0.036303
12 2.676094 -1.712444 0.000000 1.570797 0.000000 1.570797
13 2.023712 0.907463 -0.852528 -1.710117 1.334139 2.900104
14 4.983665 -0.000004 0.000000 1.572515 -0.191592 -0.765065
15 11.123055 0.000000 0.000008 0.000000 -0.000001 -0.203508
16 11.208300 0.000000 0.000008 -1.496970 0.038596 0.036303
17 2.676090 -1.712444 0.000000 -1.570796 0.000000 -1.570795
18 3.984014 -0.000004 -0.000003 -1.570796 0.051767 -1.611082
19 15.940012 0.000000 0.000000 0.000000 0.000000 0.051654
20 17.709562 0.000000 0.000000 0.017106 -0.070055 -1.175216
21 6.203998 0.000001 0.000000 -0.011146 0.000934 -0.500515
22 -3.984013 0.000008 0.000007 -1.570796 0.051767 -1.530513
23 15.940014 0.000000 0.000000 0.000000 0.000000 0.051654
24 17.709555 0.000000 0.000000 -0.006396 0.070030 -1.178168
25 6.203995 0.000000 0.000000 -0.078650 -0.006185 -0.498943
26 3.549248 0.198830 -1.489470 -0.211910 0.371147 0.010423
27 1.219001 0.000004 0.000001 -0.004612 0.097482 -0.366619
28 0.679996 0.000000 0.000000 0.011364 0.086978 -0.172880
29 3.698013 0.267555 -0.728980 -0.081506 0.260222 -0.125246
30 1.749004 -0.000004 0.000000 0.000213 0.027094 -0.190163
31 0.960003 -0.000002 0.000000 0.002325 0.039402 -0.237867
32 3.768507 0.152550 0.071384 0.088005 0.028346 -0.003436
33 2.038002 0.000004 0.000000 0.001514 -0.004366 -0.575480
34 1.067001 0.000000 0.000000 -0.001245 -0.005672 -0.098994
35 3.783930 -0.017258 0.794555 0.283379 -0.216139 0.062671
36 1.629004 0.000000 0.000000 0.018831 -0.066668 -0.468773
37 0.955997 0.000000 0.000000 0.000000 -0.069720 -0.170028
38 1.258968 -0.297981 1.252592 -1.289008 -0.530146 -0.654404
39 1.393005 0.000002 0.000000 0.000000 0.002024 -0.043589
40 1.100002 -0.000002 0.000000 0.000000 0.013129 -0.286815
41 3.549273 0.211411 1.487671 0.211910 -0.371147 0.010422
42 1.219001 0.000000 0.000000 0.004612 -0.097482 -0.366619
43 0.679998 0.000000 0.000000 -0.011364 -0.086978 -0.172880
44 3.698021 0.273712 0.726624 0.081506 -0.260222 -0.125247
45 1.749001 0.000000 0.000000 -0.000213 -0.027094 -0.190163
46 0.959999 -0.000002 0.000000 -0.002325 -0.039402 -0.237867
47 3.768501 0.151951 -0.072740 -0.088005 -0.028346 -0.003437
48 2.038002 0.000000 0.000000 -0.001514 0.004366 -0.575480
49 1.066998 0.000002 0.000000 0.001245 0.005672 -0.098993
50 3.783907 -0.023956 -0.794451 -0.283379 0.216139 0.062670
51 1.629004 0.000004 0.000000 -0.018831 0.066668 -0.468773
52 0.956005 -0.000002 0.000000 0.000000 0.069720 -0.170028
53 1.258940 -0.308544 -1.250052 1.289008 0.530146 -0.654404
54 1.393002 0.000002 0.000000 0.000000 -0.002024 -0.043588
55 1.100000 0.000002 -0.000004 0.000000 -0.013129 -0.286814
56 4.271701 0.000004 0.000000 0.000000 0.000000 0.000000
57 5.604153 0.000000 0.000000 -0.030876 0.000000 0.000000
58 5.604149 0.000000 0.000000 0.034930 -0.000001 0.000000
59 11.208302 -0.000001 -0.000004 -0.057543 0.000000 0.000000
60 5.560005 -0.700002 -0.500004 0.000000 0.000000 0.000000
61 2.132019 1.532022 5.000000 0.000000 0.000000 0.000000
62 2.000000 4.938046 2.578000 0.000000 0.000000 0.000000
63 11.123055 0.000000 0.000008 0.000000 -0.000001 -0.100063
64 2.000000 4.938042 -2.578000 0.000000 0.000000 0.000000
65 2.132023 1.532021 -5.000000 0.000000 0.000000 0.000000
66 1.500000 0.000000 0.000000 0.000000 0.000000 0.000000
67 11.208302 0.000000 0.000004 0.065171 -0.000001 0.000000
68 11.123062 0.000000 -0.000004 0.000000 0.000000 -0.100081
69 4.271699 0.000000 0.000000 0.000000 0.000000 0.000000
70 1.500000 0.000000 0.000000 0.000000 -0.000001 0.000000
71 5.560001 -0.700000 0.500004 0.000000 -0.000001 0.000000
end
triangles
eyeball_l
6 0.784295 -4.134094 64.840981 0.289680 -0.955414 0.057178 0.133957 0.303874 1 6 1.000000
6 0.768705 -4.175613 64.952141 0.368795 -0.816762 -0.443723 0.120502 0.491009 1 6 1.000000
6 0.753084 -4.159145 64.890221 0.513481 -0.824577 -0.237507 0.107022 0.386062 1 6 1.000000
eyeball_l
6 0.853401 -4.145099 64.810654 0.002820 -0.943940 0.330106 0.193597 0.250469 1 6 1.000000
6 0.768705 -4.175613 64.952141 0.368795 -0.816762 -0.443723 0.120502 0.491009 1 6 1.000000
6 0.784295 -4.134094 64.840981 0.289680 -0.955414 0.057178 0.133957 0.303874 1 6 1.000000
eyeball_l
6 0.853401 -4.145099 64.810654 0.002820 -0.943940 0.330106 0.193597 0.250469 1 6 1.000000
6 0.840091 -4.179929 65.023041 -0.020528 -0.887548 -0.460258 0.182109 0.612699 1 6 1.000000
6 0.768705 -4.175613 64.952141 0.368795 -0.816762 -0.443723 0.120502 0.491009 1 6 1.000000
eyeball_l
6 0.945861 -4.193311 64.792892 -0.299095 -0.835801 0.460411 0.273392 0.214789 1 6 1.000000
6 0.840091 -4.179929 65.023041 -0.020528 -0.887548 -0.460258 0.182109 0.612699 1 6 1.000000
6 0.853401 -4.145099 64.810654 0.002820 -0.943940 0.330106 0.193597 0.250469 1 6 1.000000
eyeball_l
6 0.945861 -4.193311 64.792892 -0.299095 -0.835801 0.460411 0.273392 0.214789 1 6 1.000000
6 0.943859 -4.249794 65.094849 -0.140279 -0.865968 -0.480022 0.271663 0.729054 1 6 1.000000
6 0.840091 -4.179929 65.023041 -0.020528 -0.887548 -0.460258 0.182109 0.612699 1 6 1.000000
eyeball_l
6 1.047138 -4.241653 64.779007 -0.276763 -0.923892 0.264244 0.360796 0.185774 1 6 1.000000
6 0.943859 -4.249794 65.094849 -0.140279 -0.865968 -0.480022 0.271663 0.729054 1 6 1.000000
6 0.945861 -4.193311 64.792892 -0.299095 -0.835801 0.460411 0.273392 0.214789 1 6 1.000000
eyeball_l
6 1.047138 -4.241653 64.779007 -0.276763 -0.923892 0.264244 0.360796 0.185774 1 6 1.000000
6 1.056624 -4.294747 65.149223 -0.040281 -0.917993 -0.394546 0.368983 0.817996 1 6 1.000000
6 0.943859 -4.249794 65.094849 -0.140279 -0.865968 -0.480022 0.271663 0.729054 1 6 1.000000
eyeball_l
6 1.165887 -4.261745 64.777046 0.029106 -0.936930 0.348302 0.463279 0.180274 1 6 1.000000
6 1.056624 -4.294747 65.149223 -0.040281 -0.917993 -0.394546 0.368983 0.817996 1 6 1.000000
6 1.047138 -4.241653 64.779007 -0.276763 -0.923892 0.264244 0.360796 0.185774 1 6 1.000000
eyeball_l
6 1.165887 -4.261745 64.777046 0.029106 -0.936930 0.348302 0.463279 0.180274 1 6 1.000000
6 1.181426 -4.301478 65.171616 0.089881 -0.920453 -0.380379 0.476689 0.855861 1 6 1.000000
6 1.056624 -4.294747 65.149223 -0.040281 -0.917993 -0.394546 0.368983 0.817996 1 6 1.000000
eyeball_l
6 1.310768 -4.225443 64.795059 0.250192 -0.939200 0.235175 0.588314 0.215136 1 6 1.000000
6 1.181426 -4.301478 65.171616 0.089881 -0.920453 -0.380379 0.476689 0.855861 1 6 1.000000
6 1.165887 -4.261745 64.777046 0.029106 -0.936930 0.348302 0.463279 0.180274 1 6 1.000000
eyeball_l
6 1.310768 -4.225443 64.795059 0.250192 -0.939200 0.235175 0.588314 0.215136 1 6 1.000000
6 1.321294 -4.268971 65.148224 0.228526 -0.879846 -0.416710 0.597398 0.818991 1 6 1.000000
6 1.181426 -4.301478 65.171616 0.089881 -0.920453 -0.380379 0.476689 0.855861 1 6 1.000000
eyeball_l
6 1.451007 -4.161013 64.830048 0.272477 -0.866486 0.418280 0.709343 0.282199 1 6 1.000000
6 1.321294 -4.268971 65.148224 0.228526 -0.879846 -0.416710 0.597398 0.818991 1 6 1.000000
6 1.310768 -4.225443 64.795059 0.250192 -0.939200 0.235175 0.588314 0.215136 1 6 1.000000
eyeball_l
6 1.451007 -4.161013 64.830048 0.272477 -0.866486 0.418280 0.709343 0.282199 1 6 1.000000
6 1.453627 -4.203619 65.092438 0.386305 -0.823437 -0.415596 0.711604 0.729771 1 6 1.000000
6 1.321294 -4.268971 65.148224 0.228526 -0.879846 -0.416710 0.597398 0.818991 1 6 1.000000
eyeball_l
6 1.555830 -4.080884 64.878021 0.402316 -0.857456 0.320797 0.799808 0.373296 1 6 1.000000
6 1.453627 -4.203619 65.092438 0.386305 -0.823437 -0.415596 0.711604 0.729771 1 6 1.000000
6 1.451007 -4.161013 64.830048 0.272477 -0.866486 0.418280 0.709343 0.282199 1 6 1.000000
eyeball_l
6 1.555830 -4.080884 64.878021 0.402316 -0.857456 0.320797 0.799808 0.373296 1 6 1.000000
6 1.555822 -4.106262 65.017303 0.302119 -0.781833 -0.545399 0.799801 0.610581 1 6 1.000000
6 1.453627 -4.203619 65.092438 0.386305 -0.823437 -0.415596 0.711604 0.729771 1 6 1.000000
eyeball_l
6 1.555830 -4.080884 64.878021 0.402316 -0.857456 0.320797 0.799808 0.373296 1 6 1.000000
6 1.599386 -4.043238 64.940079 -0.256149 -0.934681 -0.246492 0.837398 0.484176 1 6 1.000000
6 1.555822 -4.106262 65.017303 0.302119 -0.781833 -0.545399 0.799801 0.610581 1 6 1.000000
fmouth
6 0.964449 -2.766401 62.082817 0.869565 -0.178780 0.460321 0.884741 0.383623 1 6 1.000000
6 0.852414 -3.770720 61.431973 0.967503 -0.242174 -0.072728 0.710090 0.022408 1 6 1.000000
6 1.002487 -2.680279 61.573032 0.988550 -0.142478 0.049691 0.876690 0.022408 1 6 1.000000
fmouth
6 0.587700 -2.788172 62.086475 -0.440069 -0.109213 0.891298 0.886276 0.388980 1 6 1.000000
6 0.794638 -4.166556 61.880173 0.718182 -0.282450 0.635953 0.645394 0.341493 1 6 1.000000
6 0.964449 -2.766401 62.082817 0.869565 -0.178780 0.460321 0.884741 0.383623 1 6 1.000000
fmouth
6 0.852414 -3.770720 61.431973 0.967503 -0.242174 -0.072728 0.710090 0.022408 1 6 1.000000
6 0.964449 -2.766401 62.082817 0.869565 -0.178780 0.460321 0.884741 0.383623 1 6 1.000000
6 0.794638 -4.166556 61.880173 0.718182 -0.282450 0.635953 0.645394 0.341493 1 6 1.000000
fmouth
6 0.794638 -4.166556 61.880173 0.718182 -0.282450 0.635953 0.645394 0.341493 1 6 1.000000
6 0.685711 -4.066481 61.393726 0.780636 -0.558107 -0.281291 0.639668 0.022408 1 6 1.000000
6 0.852414 -3.770720 61.431973 0.967503 -0.242174 -0.072728 0.710090 0.022408 1 6 1.000000
fmouth
6 0.264286 -4.393750 61.351398 0.251951 -0.932091 -0.260245 0.542913 0.022408 1 6 1.000000
6 0.019939 -4.560317 61.808552 0.009490 -0.962336 -0.271698 0.503068 0.289312 1 6 1.000000
6 0.018307 -4.426687 61.347149 -0.010213 -0.960489 -0.278130 0.503074 0.022408 1 6 1.000000
fmouth
6 0.019939 -4.560317 61.808552 0.009490 -0.962336 -0.271698 0.503068 0.289312 1 6 1.000000
6 0.264286 -4.393750 61.351398 0.251951 -0.932091 -0.260245 0.542913 0.022408 1 6 1.000000
6 0.196296 -4.542697 61.854359 0.150706 -0.979037 0.137017 0.529339 0.325349 1 6 1.000000
fmouth
6 0.264286 -4.393750 61.351398 0.251951 -0.932091 -0.260245 0.542913 0.022408 1 6 1.000000
6 0.411281 -4.493107 61.898800 0.613369 -0.519706 0.594714 0.562612 0.356827 1 6 1.000000
6 0.196296 -4.542697 61.854359 0.150706 -0.979037 0.137017 0.529339 0.325349 1 6 1.000000
fmouth
6 0.411281 -4.493107 61.898800 0.613369 -0.519706 0.594714 0.562612 0.356827 1 6 1.000000
6 0.415969 -4.384431 61.808308 -0.505963 0.410057 0.758851 0.570433 0.270278 1 6 1.000000
6 0.196296 -4.542697 61.854359 0.150706 -0.979037 0.137017 0.529339 0.325349 1 6 1.000000
fmouth
6 0.415969 -4.384431 61.808308 -0.505963 0.410057 0.758851 0.570433 0.270278 1 6 1.000000
6 0.411281 -4.493107 61.898800 0.613369 -0.519706 0.594714 0.562612 0.356827 1 6 1.000000
6 0.427299 -4.481162 61.873344 0.569695 -0.778026 0.264808 0.565384 0.334482 1 6 1.000000
fmouth
6 0.415969 -4.384431 61.808308 -0.505963 0.410057 0.758851 0.570433 0.270278 1 6 1.000000
6 0.427299 -4.481162 61.873344 0.569695 -0.778026 0.264808 0.565384 0.334482 1 6 1.000000
6 0.576048 -4.410558 61.947845 0.076776 -0.438545 0.895424 0.591605 0.357060 1 6 1.000000
fmouth
6 0.527274 -4.279029 61.366245 0.558603 -0.791917 -0.246637 0.590785 0.022408 1 6 1.000000
6 0.576048 -4.410558 61.947845 0.076776 -0.438545 0.895424 0.591605 0.357060 1 6 1.000000
6 0.427299 -4.481162 61.873344 0.569695 -0.778026 0.264808 0.565384 0.334482 1 6 1.000000
fmouth
6 0.527274 -4.279029 61.366245 0.558603 -0.791917 -0.246637 0.590785 0.022408 1 6 1.000000
6 0.616884 -4.368576 61.882103 0.656755 -0.470885 0.589016 0.600027 0.343694 1 6 1.000000
6 0.576048 -4.410558 61.947845 0.076776 -0.438545 0.895424 0.591605 0.357060 1 6 1.000000
fmouth
6 0.616884 -4.368576 61.882103 0.656755 -0.470885 0.589016 0.600027 0.343694 1 6 1.000000
6 0.527274 -4.279029 61.366245 0.558603 -0.791917 -0.246637 0.590785 0.022408 1 6 1.000000
6 0.685711 -4.066481 61.393726 0.780636 -0.558107 -0.281291 0.639668 0.022408 1 6 1.000000
fmouth
6 0.685711 -4.066481 61.393726 0.780636 -0.558107 -0.281291 0.639668 0.022408 1 6 1.000000
6 0.750798 -4.245895 61.914021 0.640295 -0.437696 0.631224 0.630479 0.377998 1 6 1.000000
6 0.616884 -4.368576 61.882103 0.656755 -0.470885 0.589016 0.600027 0.343694 1 6 1.000000
fmouth
6 0.685711 -4.066481 61.393726 0.780636 -0.558107 -0.281291 0.639668 0.022408 1 6 1.000000
6 0.794638 -4.166556 61.880173 0.718182 -0.282450 0.635953 0.645394 0.341493 1 6 1.000000
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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fmouth
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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4 -0.194554 -1.459202 58.197548 -0.088033 -0.980803 0.173997 0.498560 0.048191 1 4 1.000000
4 -0.122932 -1.688469 58.946339 -0.191913 -0.927052 -0.322094 0.504557 0.110358 2 4 0.738553 5 0.261447
kanisha_cylmap
5 0.049659 -2.260281 60.247974 0.026914 -0.859097 -0.511104 0.498111 0.223125 2 5 0.631256 6 0.368744
4 -0.887571 -1.381100 59.453362 -0.580726 -0.787904 -0.204852 0.378297 0.169957 2 4 0.612736 5 0.387264
4 -0.122932 -1.688469 58.946339 -0.191913 -0.927052 -0.322094 0.504557 0.110358 2 4 0.738553 5 0.261447
kanisha_cylmap
6 -0.581135 -2.309741 60.668823 -0.437659 -0.359360 -0.824206 0.475677 0.254051 2 6 0.547703 5 0.452297
4 -0.887571 -1.381100 59.453362 -0.580726 -0.787904 -0.204852 0.378297 0.169957 2 4 0.612736 5 0.387264
5 0.049659 -2.260281 60.247974 0.026914 -0.859097 -0.511104 0.498111 0.223125 2 5 0.631256 6 0.368744
kanisha_cylmap
6 -0.581135 -2.309741 60.668823 -0.437659 -0.359360 -0.824206 0.475677 0.254051 2 6 0.547703 5 0.452297
5 0.049659 -2.260281 60.247974 0.026914 -0.859097 -0.511104 0.498111 0.223125 2 5 0.631256 6 0.368744
6 0.416864 -2.585934 60.671658 0.145110 -0.085183 -0.985742 0.532037 0.255672 1 6 1.000000
kanisha_cylmap
6 0.132753 -3.329934 60.475166 0.007846 0.159726 -0.987130 0.507481 0.231674 1 6 1.000000
6 -0.581135 -2.309741 60.668823 -0.437659 -0.359360 -0.824206 0.475677 0.254051 2 6 0.547703 5 0.452297
6 0.416864 -2.585934 60.671658 0.145110 -0.085183 -0.985742 0.532037 0.255672 1 6 1.000000
kanisha_cylmap
6 0.416864 -2.585934 60.671658 0.145110 -0.085183 -0.985742 0.532037 0.255672 1 6 1.000000
6 0.767195 -3.301730 60.536610 0.232308 0.166684 -0.958253 0.541285 0.238691 1 6 1.000000
6 0.132753 -3.329934 60.475166 0.007846 0.159726 -0.987130 0.507481 0.231674 1 6 1.000000
kanisha_cylmap
6 0.767195 -3.301730 60.536610 0.232308 0.166684 -0.958253 0.541285 0.238691 1 6 1.000000
6 0.140580 -4.004397 60.399563 0.010309 0.050806 -0.998655 0.506278 0.214620 1 6 1.000000
6 0.132753 -3.329934 60.475166 0.007846 0.159726 -0.987130 0.507481 0.231674 1 6 1.000000
kanisha_cylmap
6 0.767195 -3.301730 60.536610 0.232308 0.166684 -0.958253 0.541285 0.238691 1 6 1.000000
6 0.811648 -3.809890 60.503471 0.403865 0.045781 -0.913672 0.537028 0.229434 1 6 1.000000
6 0.140580 -4.004397 60.399563 0.010309 0.050806 -0.998655 0.506278 0.214620 1 6 1.000000
kanisha_cylmap
6 0.811648 -3.809890 60.503471 0.403865 0.045781 -0.913672 0.537028 0.229434 1 6 1.000000
6 0.658781 -4.278450 60.449131 0.341525 -0.160218 -0.926116 0.526448 0.217737 1 6 1.000000
6 0.140580 -4.004397 60.399563 0.010309 0.050806 -0.998655 0.506278 0.214620 1 6 1.000000
kanisha_cylmap
6 0.991118 -4.040190 60.620552 0.665138 -0.195267 -0.720737 0.542845 0.243750 1 6 1.000000
6 0.658781 -4.278450 60.449131 0.341525 -0.160218 -0.926116 0.526448 0.217737 1 6 1.000000
6 0.811648 -3.809890 60.503471 0.403865 0.045781 -0.913672 0.537028 0.229434 1 6 1.000000
kanisha_cylmap
6 0.712518 -4.426267 60.550900 0.548099 -0.544402 -0.634991 0.528049 0.231725 1 6 1.000000
6 0.658781 -4.278450 60.449131 0.341525 -0.160218 -0.926116 0.526448 0.217737 1 6 1.000000
6 0.991118 -4.040190 60.620552 0.665138 -0.195267 -0.720737 0.542845 0.243750 1 6 1.000000
kanisha_cylmap
6 0.712518 -4.426267 60.550900 0.548099 -0.544402 -0.634991 0.528049 0.231725 1 6 1.000000
6 0.991118 -4.040190 60.620552 0.665138 -0.195267 -0.720737 0.542845 0.243750 1 6 1.000000
6 1.085666 -4.203633 60.863861 0.776841 -0.525304 -0.347237 0.547314 0.262995 1 6 1.000000
kanisha_cylmap
6 1.085666 -4.203633 60.863861 0.776841 -0.525304 -0.347237 0.547314 0.262995 1 6 1.000000
6 0.736897 -4.561627 60.844860 0.543790 -0.808538 -0.224853 0.529732 0.258704 1 6 1.000000
6 0.712518 -4.426267 60.550900 0.548099 -0.544402 -0.634991 0.528049 0.231725 1 6 1.000000
kanisha_cylmap
6 1.028547 -4.485253 61.739857 0.533575 -0.837075 -0.120842 0.548409 0.326168 1 6 1.000000
6 0.736897 -4.561627 60.844860 0.543790 -0.808538 -0.224853 0.529732 0.258704 1 6 1.000000
6 1.085666 -4.203633 60.863861 0.776841 -0.525304 -0.347237 0.547314 0.262995 1 6 1.000000
kanisha_cylmap
6 1.085666 -4.203633 60.863861 0.776841 -0.525304 -0.347237 0.547314 0.262995 1 6 1.000000
6 1.244418 -4.202129 61.660900 0.748184 -0.629192 -0.210567 0.565179 0.323241 1 6 1.000000
6 1.028547 -4.485253 61.739857 0.533575 -0.837075 -0.120842 0.548409 0.326168 1 6 1.000000
kanisha_cylmap
6 1.028547 -4.485253 61.739857 0.533575 -0.837075 -0.120842 0.548409 0.326168 1 6 1.000000
6 1.244418 -4.202129 61.660900 0.748184 -0.629192 -0.210567 0.565179 0.323241 1 6 1.000000
6 1.221632 -4.402230 62.067944 0.654401 -0.733542 -0.183508 0.565480 0.356744 1 6 1.000000
kanisha_cylmap
6 1.221632 -4.402230 62.067944 0.654401 -0.733542 -0.183508 0.565480 0.356744 1 6 1.000000
6 1.244418 -4.202129 61.660900 0.748184 -0.629192 -0.210567 0.565179 0.323241 1 6 1.000000
6 1.561905 -3.785735 61.544762 0.777734 -0.582760 -0.235627 0.589843 0.318935 1 6 1.000000
kanisha_cylmap
6 1.561905 -3.785735 61.544762 0.777734 -0.582760 -0.235627 0.589843 0.318935 1 6 1.000000
6 1.525404 -4.102412 62.301994 0.720837 -0.661864 -0.205742 0.590272 0.376063 1 6 1.000000
6 1.221632 -4.402230 62.067944 0.654401 -0.733542 -0.183508 0.565480 0.356744 1 6 1.000000
kanisha_cylmap
6 1.752888 -4.125932 62.920307 0.680155 -0.681260 -0.270693 0.600591 0.424484 1 6 1.000000
6 1.111117 -4.546540 62.715675 0.568753 -0.819719 -0.067686 0.559385 0.406216 1 6 1.000000
6 1.525404 -4.102412 62.301994 0.720837 -0.661864 -0.205742 0.590272 0.376063 1 6 1.000000
kanisha_cylmap
6 2.064893 -3.576661 62.646980 0.831583 -0.490214 -0.261075 0.631289 0.403910 1 6 1.000000
6 1.752888 -4.125932 62.920307 0.680155 -0.681260 -0.270693 0.600591 0.424484 1 6 1.000000
6 1.525404 -4.102412 62.301994 0.720837 -0.661864 -0.205742 0.590272 0.376063 1 6 1.000000
kanisha_cylmap
6 1.561905 -3.785735 61.544762 0.777734 -0.582760 -0.235627 0.589843 0.318935 1 6 1.000000
6 2.064893 -3.576661 62.646980 0.831583 -0.490214 -0.261075 0.631289 0.403910 1 6 1.000000
6 1.525404 -4.102412 62.301994 0.720837 -0.661864 -0.205742 0.590272 0.376063 1 6 1.000000
kanisha_cylmap
6 2.064893 -3.576661 62.646980 0.831583 -0.490214 -0.261075 0.631289 0.403910 1 6 1.000000
6 1.561905 -3.785735 61.544762 0.777734 -0.582760 -0.235627 0.589843 0.318935 1 6 1.000000
6 1.755096 -3.394314 61.409157 0.833446 -0.352610 -0.425481 0.604990 0.310175 1 6 1.000000
kanisha_cylmap
6 1.561905 -3.785735 61.544762 0.777734 -0.582760 -0.235627 0.589843 0.318935 1 6 1.000000
6 1.085666 -4.203633 60.863861 0.776841 -0.525304 -0.347237 0.547314 0.262995 1 6 1.000000
6 1.755096 -3.394314 61.409157 0.833446 -0.352610 -0.425481 0.604990 0.310175 1 6 1.000000
kanisha_cylmap
6 1.755096 -3.394314 61.409157 0.833446 -0.352610 -0.425481 0.604990 0.310175 1 6 1.000000
6 1.085666 -4.203633 60.863861 0.776841 -0.525304 -0.347237 0.547314 0.262995 1 6 1.000000
6 1.501516 -3.429164 61.052322 0.778152 -0.196572 -0.596523 0.582441 0.282770 1 6 1.000000
kanisha_cylmap
6 0.991118 -4.040190 60.620552 0.665138 -0.195267 -0.720737 0.542845 0.243750 1 6 1.000000
6 1.501516 -3.429164 61.052322 0.778152 -0.196572 -0.596523 0.582441 0.282770 1 6 1.000000
6 1.085666 -4.203633 60.863861 0.776841 -0.525304 -0.347237 0.547314 0.262995 1 6 1.000000
kanisha_cylmap
6 1.534119 -3.066222 61.036530 0.648616 0.010244 -0.761047 0.592108 0.283127 1 6 1.000000
6 1.501516 -3.429164 61.052322 0.778152 -0.196572 -0.596523 0.582441 0.282770 1 6 1.000000
6 0.991118 -4.040190 60.620552 0.665138 -0.195267 -0.720737 0.542845 0.243750 1 6 1.000000
kanisha_cylmap
6 1.534119 -3.066222 61.036530 0.648616 0.010244 -0.761047 0.592108 0.283127 1 6 1.000000
6 0.991118 -4.040190 60.620552 0.665138 -0.195267 -0.720737 0.542845 0.243750 1 6 1.000000
6 0.811648 -3.809890 60.503471 0.403865 0.045781 -0.913672 0.537028 0.229434 1 6 1.000000
kanisha_cylmap
6 0.811648 -3.809890 60.503471 0.403865 0.045781 -0.913672 0.537028 0.229434 1 6 1.000000
6 1.222736 -2.891440 60.837475 0.497506 0.142874 -0.855614 0.576722 0.268506 1 6 1.000000
6 1.534119 -3.066222 61.036530 0.648616 0.010244 -0.761047 0.592108 0.283127 1 6 1.000000
kanisha_cylmap
6 0.767195 -3.301730 60.536610 0.232308 0.166684 -0.958253 0.541285 0.238691 1 6 1.000000
6 1.222736 -2.891440 60.837475 0.497506 0.142874 -0.855614 0.576722 0.268506 1 6 1.000000
6 0.811648 -3.809890 60.503471 0.403865 0.045781 -0.913672 0.537028 0.229434 1 6 1.000000
kanisha_cylmap
6 1.222736 -2.891440 60.837475 0.497506 0.142874 -0.855614 0.576722 0.268506 1 6 1.000000
6 0.767195 -3.301730 60.536610 0.232308 0.166684 -0.958253 0.541285 0.238691 1 6 1.000000
6 0.867357 -2.759971 60.707497 0.349281 0.147618 -0.925317 0.557563 0.258808 1 6 1.000000
kanisha_cylmap
6 0.867357 -2.759971 60.707497 0.349281 0.147618 -0.925317 0.557563 0.258808 1 6 1.000000
6 0.767195 -3.301730 60.536610 0.232308 0.166684 -0.958253 0.541285 0.238691 1 6 1.000000
6 0.416864 -2.585934 60.671658 0.145110 -0.085183 -0.985742 0.532037 0.255672 1 6 1.000000
kanisha_cylmap
6 0.416864 -2.585934 60.671658 0.145110 -0.085183 -0.985742 0.532037 0.255672 1 6 1.000000
6 0.920913 -1.935990 60.748657 0.672172 -0.370500 -0.641026 0.599384 0.274364 2 6 0.560277 5 0.439723
6 0.867357 -2.759971 60.707497 0.349281 0.147618 -0.925317 0.557563 0.258808 1 6 1.000000
kanisha_cylmap
6 0.920913 -1.935990 60.748657 0.672172 -0.370500 -0.641026 0.599384 0.274364 2 6 0.560277 5 0.439723
6 0.416864 -2.585934 60.671658 0.145110 -0.085183 -0.985742 0.532037 0.255672 1 6 1.000000
5 0.049659 -2.260281 60.247974 0.026914 -0.859097 -0.511104 0.498111 0.223125 2 5 0.631256 6 0.368744
kanisha_cylmap
5 0.049659 -2.260281 60.247974 0.026914 -0.859097 -0.511104 0.498111 0.223125 2 5 0.631256 6 0.368744
4 0.477563 -1.693147 59.187855 0.275793 -0.863802 -0.421644 0.543902 0.128444 2 4 0.738553 5 0.261447
6 0.920913 -1.935990 60.748657 0.672172 -0.370500 -0.641026 0.599384 0.274364 2 6 0.560277 5 0.439723
kanisha_cylmap
5 0.049659 -2.260281 60.247974 0.026914 -0.859097 -0.511104 0.498111 0.223125 2 5 0.631256 6 0.368744
4 -0.122932 -1.688469 58.946339 -0.191913 -0.927052 -0.322094 0.504557 0.110358 2 4 0.738553 5 0.261447
4 0.477563 -1.693147 59.187855 0.275793 -0.863802 -0.421644 0.543902 0.128444 2 4 0.738553 5 0.261447
kanisha_cylmap
4 -0.122932 -1.688469 58.946339 -0.191913 -0.927052 -0.322094 0.504557 0.110358 2 4 0.738553 5 0.261447
4 -0.194554 -1.459202 58.197548 -0.088033 -0.980803 0.173997 0.498560 0.048191 1 4 1.000000
4 0.477563 -1.693147 59.187855 0.275793 -0.863802 -0.421644 0.543902 0.128444 2 4 0.738553 5 0.261447
kanisha_cylmap
6 1.868684 -4.171011 63.332466 0.618367 -0.781223 -0.085516 0.607228 0.456476 1 6 1.000000
6 1.752888 -4.125932 62.920307 0.680155 -0.681260 -0.270693 0.600591 0.424484 1 6 1.000000
6 2.064893 -3.576661 62.646980 0.831583 -0.490214 -0.261075 0.631289 0.403910 1 6 1.000000
kanisha_cylmap
6 1.534119 -3.066222 61.036530 0.648616 0.010244 -0.761047 0.592108 0.283127 1 6 1.000000
6 2.020870 -2.598426 61.530136 0.800366 -0.043480 -0.597932 0.638566 0.321945 1 6 1.000000
6 1.501516 -3.429164 61.052322 0.778152 -0.196572 -0.596523 0.582441 0.282770 1 6 1.000000
kanisha_cylmap
6 2.020870 -2.598426 61.530136 0.800366 -0.043480 -0.597932 0.638566 0.321945 1 6 1.000000
6 1.755096 -3.394314 61.409157 0.833446 -0.352610 -0.425481 0.604990 0.310175 1 6 1.000000
6 1.501516 -3.429164 61.052322 0.778152 -0.196572 -0.596523 0.582441 0.282770 1 6 1.000000
kanisha_cylmap
6 2.020870 -2.598426 61.530136 0.800366 -0.043480 -0.597932 0.638566 0.321945 1 6 1.000000
6 2.113096 -2.868679 61.736015 0.892709 -0.248698 -0.375793 0.641635 0.336278 1 6 1.000000
6 1.755096 -3.394314 61.409157 0.833446 -0.352610 -0.425481 0.604990 0.310175 1 6 1.000000
kanisha_cylmap
6 2.113096 -2.868679 61.736015 0.892709 -0.248698 -0.375793 0.641635 0.336278 1 6 1.000000
6 2.064893 -3.576661 62.646980 0.831583 -0.490214 -0.261075 0.631289 0.403910 1 6 1.000000
6 1.755096 -3.394314 61.409157 0.833446 -0.352610 -0.425481 0.604990 0.310175 1 6 1.000000
kanisha_cylmap
6 2.113096 -2.868679 61.736015 0.892709 -0.248698 -0.375793 0.641635 0.336278 1 6 1.000000
6 2.375409 -2.830025 62.656044 0.936092 -0.248728 -0.248727 0.664132 0.405054 1 6 1.000000
6 2.064893 -3.576661 62.646980 0.831583 -0.490214 -0.261075 0.631289 0.403910 1 6 1.000000
kanisha_cylmap
6 2.375409 -2.830025 62.656044 0.936092 -0.248728 -0.248727 0.664132 0.405054 1 6 1.000000
6 2.113096 -2.868679 61.736015 0.892709 -0.248698 -0.375793 0.641635 0.336278 1 6 1.000000
6 2.326682 -2.233893 62.041893 0.927081 -0.064324 -0.369301 0.673195 0.359527 1 6 1.000000
kanisha_cylmap
6 2.326682 -2.233893 62.041893 0.927081 -0.064324 -0.369301 0.673195 0.359527 1 6 1.000000
6 2.113096 -2.868679 61.736015 0.892709 -0.248698 -0.375793 0.641635 0.336278 1 6 1.000000
6 2.020870 -2.598426 61.530136 0.800366 -0.043480 -0.597932 0.638566 0.321945 1 6 1.000000
kanisha_cylmap
6 0.920913 -1.935990 60.748657 0.672172 -0.370500 -0.641026 0.599384 0.274364 2 6 0.560277 5 0.439723
4 0.477563 -1.693147 59.187855 0.275793 -0.863802 -0.421644 0.543902 0.128444 2 4 0.738553 5 0.261447
5 0.997026 -1.515710 60.038353 0.723765 -0.663581 -0.189274 0.594750 0.189743 3 5 0.725544 6 0.159266 4 0.115190
kanisha_cylmap
6 0.920913 -1.935990 60.748657 0.672172 -0.370500 -0.641026 0.599384 0.274364 2 6 0.560277 5 0.439723
5 0.997026 -1.515710 60.038353 0.723765 -0.663581 -0.189274 0.594750 0.189743 3 5 0.725544 6 0.159266 4 0.115190
6 1.644804 -1.015898 61.142643 0.828134 -0.486046 -0.279201 0.675389 0.299275 2 6 0.654537 5 0.345463
kanisha_cylmap
5 0.997026 -1.515710 60.038353 0.723765 -0.663581 -0.189274 0.594750 0.189743 3 5 0.725544 6 0.159266 4 0.115190
5 1.633130 -0.812147 60.241867 0.824916 -0.554437 -0.110062 0.659722 0.223059 2 5 0.671608 6 0.328392
6 1.644804 -1.015898 61.142643 0.828134 -0.486046 -0.279201 0.675389 0.299275 2 6 0.654537 5 0.345463
kanisha_cylmap
6 1.991133 -0.513165 61.469559 0.958935 -0.215681 -0.184187 0.724416 0.323366 2 6 0.524840 5 0.475160
6 1.644804 -1.015898 61.142643 0.828134 -0.486046 -0.279201 0.675389 0.299275 2 6 0.654537 5 0.345463
5 1.633130 -0.812147 60.241867 0.824916 -0.554437 -0.110062 0.659722 0.223059 2 5 0.671608 6 0.328392
kanisha_cylmap
6 2.020870 -2.598426 61.530136 0.800366 -0.043480 -0.597932 0.638566 0.321945 1 6 1.000000
6 1.534119 -3.066222 61.036530 0.648616 0.010244 -0.761047 0.592108 0.283127 1 6 1.000000
6 1.870532 -2.146907 61.417759 0.647580 0.148739 -0.747340 0.643993 0.315304 1 6 1.000000
kanisha_cylmap
6 1.870532 -2.146907 61.417759 0.647580 0.148739 -0.747340 0.643993 0.315304 1 6 1.000000
6 1.534119 -3.066222 61.036530 0.648616 0.010244 -0.761047 0.592108 0.283127 1 6 1.000000
6 1.222736 -2.891440 60.837475 0.497506 0.142874 -0.855614 0.576722 0.268506 1 6 1.000000
kanisha_cylmap
6 1.222736 -2.891440 60.837475 0.497506 0.142874 -0.855614 0.576722 0.268506 1 6 1.000000
6 1.304899 -2.104301 61.054810 0.556988 0.156986 -0.815549 0.611249 0.288890 1 6 1.000000
6 1.870532 -2.146907 61.417759 0.647580 0.148739 -0.747340 0.643993 0.315304 1 6 1.000000
kanisha_cylmap
6 0.867357 -2.759971 60.707497 0.349281 0.147618 -0.925317 0.557563 0.258808 1 6 1.000000
6 1.304899 -2.104301 61.054810 0.556988 0.156986 -0.815549 0.611249 0.288890 1 6 1.000000
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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kanisha_cylmap
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eyeball_r
6 -1.349049 -4.224568 64.809380 -0.233975 -0.937389 0.257988 0.400454 0.254101 1 6 1.000000
6 -1.215074 -4.301084 65.178062 -0.127283 -0.936207 -0.327589 0.516076 0.881209 1 6 1.000000
6 -1.365645 -4.268270 65.159676 -0.199864 -0.880267 -0.430331 0.386130 0.853006 1 6 1.000000
eyeball_r
6 -1.349049 -4.224568 64.809380 -0.233975 -0.937389 0.257988 0.400454 0.254101 1 6 1.000000
6 -1.200128 -4.260493 64.792061 -0.012021 -0.910823 0.412621 0.528975 0.220476 1 6 1.000000
6 -1.215074 -4.301084 65.178062 -0.127283 -0.936207 -0.327589 0.516076 0.881209 1 6 1.000000
eyeball_r
6 -1.200128 -4.260493 64.792061 -0.012021 -0.910823 0.412621 0.528975 0.220476 1 6 1.000000
6 -1.078444 -4.296349 65.152199 0.089008 -0.912158 -0.400056 0.633991 0.837151 1 6 1.000000
6 -1.215074 -4.301084 65.178062 -0.127283 -0.936207 -0.327589 0.516076 0.881209 1 6 1.000000
eyeball_r
6 -1.200128 -4.260493 64.792061 -0.012021 -0.910823 0.412621 0.528975 0.220476 1 6 1.000000
6 -1.078734 -4.240458 64.801933 0.224962 -0.906501 0.357279 0.633741 0.239596 1 6 1.000000
6 -1.078444 -4.296349 65.152199 0.089008 -0.912158 -0.400056 0.633991 0.837151 1 6 1.000000
eyeball_r
6 -1.078734 -4.240458 64.801933 0.224962 -0.906501 0.357279 0.633741 0.239596 1 6 1.000000
6 -0.979092 -4.192250 64.823730 0.376347 -0.880777 0.287393 0.719734 0.282229 1 6 1.000000
6 -1.078444 -4.296349 65.152199 0.089008 -0.912158 -0.400056 0.633991 0.837151 1 6 1.000000
eyeball_r
6 -0.979092 -4.192250 64.823730 0.376347 -0.880777 0.287393 0.719734 0.282229 1 6 1.000000
6 -0.961719 -4.251972 65.100014 0.213293 -0.844460 -0.491318 0.734728 0.751923 1 6 1.000000
6 -1.078444 -4.296349 65.152199 0.089008 -0.912158 -0.400056 0.633991 0.837151 1 6 1.000000
eyeball_r
6 -0.979092 -4.192250 64.823730 0.376347 -0.880777 0.287393 0.719734 0.282229 1 6 1.000000
6 -0.895429 -4.131433 64.841438 0.129709 -0.989378 0.065617 0.791936 0.319149 1 6 1.000000
6 -0.961719 -4.251972 65.100014 0.213293 -0.844460 -0.491318 0.734728 0.751923 1 6 1.000000
eyeball_r
6 -0.895429 -4.131433 64.841438 0.129709 -0.989378 0.065617 0.791936 0.319149 1 6 1.000000
6 -0.870866 -4.197964 65.041389 -0.030107 -0.799667 -0.599688 0.813135 0.656616 1 6 1.000000
6 -0.961719 -4.251972 65.100014 0.213293 -0.844460 -0.491318 0.734728 0.751923 1 6 1.000000
eyeball_r
6 -0.895429 -4.131433 64.841438 0.129709 -0.989378 0.065617 0.791936 0.319149 1 6 1.000000
6 -0.815781 -4.159814 64.980637 -0.238232 -0.930322 -0.278829 0.860675 0.555973 1 6 1.000000
6 -0.870866 -4.197964 65.041389 -0.030107 -0.799667 -0.599688 0.813135 0.656616 1 6 1.000000
eyeball_r
6 -0.895429 -4.131433 64.841438 0.129709 -0.989378 0.065617 0.791936 0.319149 1 6 1.000000
6 -0.835326 -4.148718 64.872055 -0.462018 -0.877009 0.131889 0.843807 0.370078 1 6 1.000000
6 -0.815781 -4.159814 64.980637 -0.238232 -0.930322 -0.278829 0.860675 0.555973 1 6 1.000000
eyeball_r
6 -0.835326 -4.148718 64.872055 -0.462018 -0.877009 0.131889 0.843807 0.370078 1 6 1.000000
6 -0.806355 -4.157218 64.921715 -0.640757 -0.761162 0.100311 0.868810 0.454738 1 6 1.000000
6 -0.815781 -4.159814 64.980637 -0.238232 -0.930322 -0.278829 0.860675 0.555973 1 6 1.000000
end
