File: HighdimPlotExample.nb

package info (click to toggle)
xmds 1.6.6-4
  • links: PTS, VCS
  • area: main
  • in suites: squeeze
  • size: 3,752 kB
  • ctags: 1,571
  • sloc: cpp: 35,402; sh: 7,408; ansic: 1,029; makefile: 244
file content (1477 lines) | stat: -rw-r--r-- 85,066 bytes parent folder | download | duplicates (3) 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
 
(* Content-type: application/mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 6.0' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       145,          7]
NotebookDataLength[     84880,       1468]
NotebookOptionsPosition[     84356,       1446]
NotebookOutlinePosition[     84691,       1461]
CellTagsIndexPosition[     84648,       1458]
WindowFrame->Normal
ContainsDynamic->True *)

(* Beginning of Notebook Content *)
Notebook[{
Cell["\<\
This file is a sample file used to plot the output of ' highdim.xmds' in the \
latest version of Mathematica.  After running the program, use the command :
  > xsil2graphics - e highdim.xsil

Then run the cell below after altering the directory path to your local \
directory.\
\>", "Text",
 CellChangeTimes->{{3.406765836414184*^9, 3.406765938748354*^9}, 
   3.40676597339749*^9},
 FormatType->"TextForm",
 FontSize->18],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{
   RowBox[{
   "SetDirectory", "[", 
    "\"\</Users/joe/Applications/xmds/xmds-devel/examples\>\"", "]"}], ";"}], 
  "\[IndentingNewLine]"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"<<", "highdim.nb"}], 
  "\[IndentingNewLine]"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"ListPlot3D", "[", 
   RowBox[{"atoms1", ",", 
    RowBox[{"PlotRange", "\[Rule]", "All"}], ",", 
    RowBox[{"DataRange", "\[Rule]", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{
         RowBox[{"Min", "[", "x1", "]"}], ",", 
         RowBox[{"Max", "[", "x1", "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{
         RowBox[{"Min", "[", "t1", "]"}], ",", 
         RowBox[{"Max", "[", "t1", "]"}]}], "}"}]}], "}"}]}]}], "]"}], 
  "\[IndentingNewLine]"}], "\[IndentingNewLine]", 
 RowBox[{"Manipulate", "[", 
  RowBox[{
   RowBox[{"ListPlot3D", "[", 
    RowBox[{
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"atomsr3", "[", 
        RowBox[{"[", 
         RowBox[{"t", ",", "x", ",", "i", ",", "j"}], "]"}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", "1", ",", 
         RowBox[{"Length", "[", "y3", "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"j", ",", "1", ",", 
         RowBox[{"Length", "[", "z3", "]"}]}], "}"}]}], "]"}], ",", 
     RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", "1", ",", 
     RowBox[{"Length", "[", "x3", "]"}], ",", "1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"t", ",", "1", ",", 
     RowBox[{"Length", "[", "t3", "]"}], ",", "1"}], "}"}]}], "]"}]}], "Input",\

 CellChangeTimes->{{3.406765646091586*^9, 3.40676571725424*^9}, {
   3.406765979399116*^9, 3.406765982285563*^9}, {3.407313044049749*^9, 
   3.407313047910437*^9}, 3.407313173983762*^9, {3.40731524453581*^9, 
   3.407315246107214*^9}, {3.4073163620522203`*^9, 3.407316379036456*^9}, {
   3.407316414749365*^9, 3.407316423965391*^9}}],

Cell[BoxData[
 Graphics3DBox[GraphicsComplex3DBox[CompressedData["
1:eJx1nHk4Vdv7wE2VpDIXITKUqAyRVKvsbUqRDNEhwjmhJGQslUqzBs0paZBG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   "], {{
     {EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData["
1:eJwt2HW8VUUXxvHZMwcLEBXp7gaD7u4GaUQR6ZSW7u4WMJAGERURUUTFQrAD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         "]], Polygon3DBox[CompressedData["
1:eJw1mQfYVMUVhu/O/IJIBztIUxQQUJoNkGaviL0hgtgVEBVFRbrYFaWDGmOJ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         "]], 
        Polygon3DBox[CompressedData["
1:eJwt13f8iFUbx/Gf330bZbaXQlPSJlEeoT20rYZQD5VIj8gokZJCkrY90yZk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         "]]}]}, {}, {}, {}}, {
     {GrayLevel[0], 
      Line3DBox[{177, 1, 493, 17, 510, 511, 33, 541, 49, 558, 559, 65, 589, 
       81, 606, 607, 97, 638, 639, 113, 669, 129, 686, 687, 145, 717, 161, 
       327, 162, 328, 163, 329, 164, 330, 165, 331, 166, 332, 167, 333, 168, 
       334, 169, 335, 170, 336, 171, 337, 172, 338, 173, 339, 174, 340, 175, 
       341, 176, 731, 160, 715, 714, 144, 683, 128, 667, 666, 112, 635, 634, 
       96, 603, 80, 587, 586, 64, 555, 48, 539, 538, 32, 507, 16, 205, 15, 
       203, 14, 201, 13, 199, 12, 197, 11, 195, 10, 193, 9, 191, 8, 189, 7, 
       187, 6, 185, 5, 183, 4, 181, 3, 179, 2, 177}]}, {
      Line3DBox[{493, 844, 1069, 492, 845, 1070, 494, 846, 1071, 495, 847, 
       1072, 496, 848, 1073, 497, 957, 732, 498, 958, 733, 499, 959, 734, 500,
        960, 735, 501, 961, 736, 502, 962, 737, 503, 963, 738, 504, 964, 739, 
       505, 965, 740, 506, 966, 741, 507}], 
      Line3DBox[{511, 850, 1075, 509, 967, 742, 513, 968, 743, 515, 969, 744, 
       517, 970, 745, 519, 971, 746, 521, 972, 747, 523, 973, 748, 525, 974, 
       749, 527, 975, 750, 529, 976, 751, 531, 978, 753, 533, 980, 755, 535, 
       982, 757, 537, 984, 759, 539}], 
      Line3DBox[{538, 758, 983, 536, 756, 981, 534, 754, 979, 532, 752, 977, 
       530, 1085, 860, 528, 1084, 859, 526, 1083, 858, 524, 1082, 857, 522, 
       1081, 856, 520, 1080, 855, 518, 1079, 854, 516, 1078, 853, 514, 1077, 
       852, 512, 1076, 851, 508, 1074, 849, 510}], 
      Line3DBox[{541, 861, 1086, 540, 862, 1087, 542, 863, 1088, 543, 864, 
       1089, 544, 865, 1090, 545, 866, 1091, 546, 867, 1092, 547, 985, 760, 
       548, 986, 761, 549, 987, 762, 550, 988, 763, 551, 989, 764, 552, 990, 
       765, 553, 991, 766, 554, 992, 767, 555}], 
      Line3DBox[{559, 869, 1094, 557, 871, 1096, 561, 873, 1098, 563, 993, 
       768, 565, 994, 769, 567, 995, 770, 569, 996, 771, 571, 997, 772, 573, 
       998, 773, 575, 999, 774, 577, 1000, 775, 579, 1001, 776, 581, 1002, 
       777, 583, 1004, 779, 585, 1006, 781, 587}], 
      Line3DBox[{586, 780, 1005, 584, 778, 1003, 582, 1108, 883, 580, 1107, 
       882, 578, 1106, 881, 576, 1105, 880, 574, 1104, 879, 572, 1103, 878, 
       570, 1102, 877, 568, 1101, 876, 566, 1100, 875, 564, 1099, 874, 562, 
       1097, 872, 560, 1095, 870, 556, 1093, 868, 558}], 
      Line3DBox[{589, 884, 1109, 588, 885, 1110, 590, 886, 1111, 591, 887, 
       1112, 592, 888, 1113, 593, 889, 1114, 594, 890, 1115, 595, 891, 1116, 
       596, 892, 1117, 597, 1007, 782, 598, 1008, 783, 599, 1009, 784, 600, 
       1010, 785, 601, 1011, 786, 602, 1012, 787, 603}], 
      Line3DBox[{607, 894, 1119, 605, 896, 1121, 609, 898, 1123, 611, 900, 
       1125, 613, 902, 1127, 615, 1013, 788, 617, 1014, 789, 619, 1015, 790, 
       621, 1016, 791, 623, 1017, 792, 625, 1018, 793, 627, 1019, 794, 629, 
       1020, 795, 631, 1021, 796, 633, 1022, 797, 635}], 
      Line3DBox[{634, 1137, 912, 632, 1136, 911, 630, 1135, 910, 628, 1134, 
       909, 626, 1133, 908, 624, 1132, 907, 622, 1131, 906, 620, 1130, 905, 
       618, 1129, 904, 616, 1128, 903, 614, 1126, 901, 612, 1124, 899, 610, 
       1122, 897, 608, 1120, 895, 604, 1118, 893, 606}], 
      Line3DBox[{639, 914, 1139, 637, 1023, 798, 641, 1024, 799, 643, 1025, 
       800, 645, 1026, 801, 647, 1027, 802, 649, 1028, 803, 651, 1029, 804, 
       653, 1030, 805, 655, 1031, 806, 657, 1032, 807, 659, 1034, 809, 661, 
       1036, 811, 663, 1038, 813, 665, 1040, 815, 667}], 
      Line3DBox[{666, 814, 1039, 664, 812, 1037, 662, 810, 1035, 660, 808, 
       1033, 658, 1149, 924, 656, 1148, 923, 654, 1147, 922, 652, 1146, 921, 
       650, 1145, 920, 648, 1144, 919, 646, 1143, 918, 644, 1142, 917, 642, 
       1141, 916, 640, 1140, 915, 636, 1138, 913, 638}], 
      Line3DBox[{669, 925, 1150, 668, 926, 1151, 670, 927, 1152, 671, 928, 
       1153, 672, 929, 1154, 673, 930, 1155, 674, 931, 1156, 675, 1041, 816, 
       676, 1042, 817, 677, 1043, 818, 678, 1044, 819, 679, 1045, 820, 680, 
       1046, 821, 681, 1047, 822, 682, 1048, 823, 683}], 
      Line3DBox[{687, 933, 1158, 685, 935, 1160, 689, 937, 1162, 691, 1049, 
       824, 693, 1050, 825, 695, 1051, 826, 697, 1052, 827, 699, 1053, 828, 
       701, 1054, 829, 703, 1055, 830, 705, 1056, 831, 707, 1057, 832, 709, 
       1058, 833, 711, 1060, 835, 713, 1062, 837, 715}], 
      Line3DBox[{714, 836, 1061, 712, 834, 1059, 710, 1172, 947, 708, 1171, 
       946, 706, 1170, 945, 704, 1169, 944, 702, 1168, 943, 700, 1167, 942, 
       698, 1166, 941, 696, 1165, 940, 694, 1164, 939, 692, 1163, 938, 690, 
       1161, 936, 688, 1159, 934, 684, 1157, 932, 686}], 
      Line3DBox[{717, 948, 1173, 716, 949, 1174, 718, 950, 1175, 719, 951, 
       1176, 720, 952, 1177, 721, 953, 1178, 722, 954, 1179, 723, 955, 1180, 
       724, 956, 1181, 725, 1063, 838, 726, 1064, 839, 727, 1065, 840, 728, 
       1066, 841, 729, 1067, 842, 730, 1068, 843, 731}]}, {
      Line3DBox[{177, 1069, 342, 178, 1074, 1075, 357, 207, 1086, 372, 222, 
       1093, 1094, 387, 237, 1109, 402, 252, 1118, 1119, 417, 267, 1138, 1139,
        432, 282, 1150, 447, 297, 1157, 1158, 462, 312, 1173, 477, 327}], 
      Line3DBox[{179, 1070, 343, 180, 1076, 358, 967, 208, 1087, 373, 223, 
       1095, 1096, 388, 238, 1110, 403, 253, 1120, 1121, 418, 268, 1140, 433, 
       1023, 283, 1151, 448, 298, 1159, 1160, 463, 313, 1174, 478, 328}], 
      Line3DBox[{181, 1071, 344, 182, 1077, 359, 968, 209, 1088, 374, 224, 
       1097, 1098, 389, 239, 1111, 404, 254, 1122, 1123, 419, 269, 1141, 434, 
       1024, 284, 1152, 449, 299, 1161, 1162, 464, 314, 1175, 479, 329}], 
      Line3DBox[{183, 1072, 345, 184, 1078, 360, 969, 210, 1089, 375, 225, 
       1099, 390, 993, 240, 1112, 405, 255, 1124, 1125, 420, 270, 1142, 435, 
       1025, 285, 1153, 450, 300, 1163, 465, 1049, 315, 1176, 480, 330}], 
      Line3DBox[{185, 1073, 346, 186, 1079, 361, 970, 211, 1090, 376, 226, 
       1100, 391, 994, 241, 1113, 406, 256, 1126, 1127, 421, 271, 1143, 436, 
       1026, 286, 1154, 451, 301, 1164, 466, 1050, 316, 1177, 481, 331}], 
      Line3DBox[{187, 347, 957, 188, 1080, 362, 971, 212, 1091, 377, 227, 
       1101, 392, 995, 242, 1114, 407, 257, 1128, 422, 1013, 272, 1144, 437, 
       1027, 287, 1155, 452, 302, 1165, 467, 1051, 317, 1178, 482, 332}], 
      Line3DBox[{189, 348, 958, 190, 1081, 363, 972, 213, 1092, 378, 228, 
       1102, 393, 996, 243, 1115, 408, 258, 1129, 423, 1014, 273, 1145, 438, 
       1028, 288, 1156, 453, 303, 1166, 468, 1052, 318, 1179, 483, 333}], 
      Line3DBox[{191, 349, 959, 192, 1082, 364, 973, 214, 379, 985, 229, 1103,
        394, 997, 244, 1116, 409, 259, 1130, 424, 1015, 274, 1146, 439, 1029, 
       289, 454, 1041, 304, 1167, 469, 1053, 319, 1180, 484, 334}], 
      Line3DBox[{193, 350, 960, 194, 1083, 365, 974, 215, 380, 986, 230, 1104,
        395, 998, 245, 1117, 410, 260, 1131, 425, 1016, 275, 1147, 440, 1030, 
       290, 455, 1042, 305, 1168, 470, 1054, 320, 1181, 485, 335}], 
      Line3DBox[{195, 351, 961, 196, 1084, 366, 975, 216, 381, 987, 231, 1105,
        396, 999, 246, 411, 1007, 261, 1132, 426, 1017, 276, 1148, 441, 1031, 
       291, 456, 1043, 306, 1169, 471, 1055, 321, 486, 1063, 336}], 
      Line3DBox[{197, 352, 962, 198, 1085, 367, 976, 217, 382, 988, 232, 1106,
        397, 1000, 247, 412, 1008, 262, 1133, 427, 1018, 277, 1149, 442, 1032,
        292, 457, 1044, 307, 1170, 472, 1056, 322, 487, 1064, 337}], 
      Line3DBox[{199, 353, 963, 200, 368, 977, 978, 218, 383, 989, 233, 1107, 
       398, 1001, 248, 413, 1009, 263, 1134, 428, 1019, 278, 443, 1033, 1034, 
       293, 458, 1045, 308, 1171, 473, 1057, 323, 488, 1065, 338}], 
      Line3DBox[{201, 354, 964, 202, 369, 979, 980, 219, 384, 990, 234, 1108, 
       399, 1002, 249, 414, 1010, 264, 1135, 429, 1020, 279, 444, 1035, 1036, 
       294, 459, 1046, 309, 1172, 474, 1058, 324, 489, 1066, 339}], 
      Line3DBox[{203, 355, 965, 204, 370, 981, 982, 220, 385, 991, 235, 400, 
       1003, 1004, 250, 415, 1011, 265, 1136, 430, 1021, 280, 445, 1037, 1038,
        295, 460, 1047, 310, 475, 1059, 1060, 325, 490, 1067, 340}], 
      Line3DBox[{205, 356, 966, 206, 371, 983, 984, 221, 386, 992, 236, 401, 
       1005, 1006, 251, 416, 1012, 266, 1137, 431, 1022, 281, 446, 1039, 1040,
        296, 461, 1048, 311, 476, 1061, 1062, 326, 491, 1068, 
       341}]}, {}, {}}},
   VertexNormals->CompressedData["
1:eJxcvHk81c/7Pi6htMiWrc2+70vlzJMhQqQosq9lLWVfy15SSqgIkZJQkuzC
WLNLtkJk351jKfvyPee8+v0ej8/bP+dxLmOe87xn5r7v6565cFnfumRDSUFB
8ZKKgmI38fNEvytHhQ09ijixtL2zQ0AOn3mP4G5aYzWT1BkLTryQNcJ3jYTX
XJV4X73vJnbuRansKvF7tYh/40N9W/TOe/QTywk/7PgBdPiF1nfEWixWKfMN
D9+9SFF2K3sOrnJXFGbHnkGjRk8ziP3A9StzZveuLuBoAz57HRQVRiUs5/+S
cJ59B+KrjAZxNRonfxhVsaNJT/stEn5/Kv24W8MPnCtL/NDh3zTIU/7ODgmv
Coydyi/txM3fbAySPxxUXrizQ8atJ2X3vLfsxAUpqAeenKCFr5UNybjsIusy
u0s3jjVFVXI6lwu2uXBskHBGGgylT//CJbRfVfWbAfBIgfo3Eu5lK1WUFDyN
C7eP8YpK7YaSVv4zwvg5mE2bk7d10Bu811PIYF+cgk/P7/PBlwzDqqc/jyZf
/gkqPitfMnnyC6Yu0Er9eD2LvgXyyP+2dcYo/s/PPMIr6PwJ7LHEBIcIsUe4
OBGzFYE0HiRec0ThaYAjdkRbdpvvsQVEKSpHN4n4zpuU8HtFodilVmlbUrv3
7GNy6S0aSPnRSn3a1yis9fPyVRalH6hU8Y2cdtsc9NfQV/waWA9C1c8e3D+F
UGz1m+kjFQRoKr/V0mTuCqgz/exMrzIjisuWpHmH4XYOI2hwEUf7NoqB6duf
8h7CKNluK2vlvt8XCbhzrFHCDrZD5X9VN8j4XIogtVkfHud4COkKG/4sN87e
IuPhe4XTGm7hcVT9lnWCsm3lLmvbZNzyaaPM/eN4nNCZijcOiR2KDgH/4RKF
zJ14VzxOs1fHtFt8H1xL1CPjR9MZiww0F3C72s9yxF//AO1bBdLMlwjwQ4cq
hdA1S5B6hdm3qasf7muj+2Z3cRaCOV3dCw31oGGrL3mb+PfzirsbF6ovoZSp
mX0vn0VjDL5LbEeYtNBgXpkGyX6OGlR0KzkuGMXjYkYoKQM//dycJD336cxZ
1Rj6EOxL6q8kZSYz9Cwk5TPJ/mc+dpUyJAZixwM+PpTbIqA/K1s/jpbEI5oN
9SlxwmOsV0nLMIy9CQ2WvR3WUiNAljzjMTGmemDNL/Yt/m4oMuH+mf+c2L9Z
zumfwW1WQD7R2axznyAcGVhZJj1366v6d/t9vGBv/9Te5dSjcCigaZOEv/t1
zNQViIOqmuqpRzr0cLrzL3m+KsoW42jvyQILqHOsULVLMR38Z09dkcui4Q5y
4HzeW5qHZmvlDxt+kPHjzITsDRspcCnhj50LNyvaapwk7y/Oc1alA538IOOo
0MARKR5Um6O4TsLvXZqxn/p4DOxxHvdqVveFiyIaXZ1EfLj548FJAQMQIpr/
bNPjO3z5rWr1dAMeOlvr33AXqAd0/CdP1k+Ow+IY/nsPDcbhnxwRguZ4KLbc
eClc4/ADZF1+ZEqf2M8x3oq5moBXWNn5/N188zKwMEZggvRcP99Oo5GeG9ib
iELBXV9CkYg5e+RTIi6qdl3A+Ywz5v8lm8KxjoAo+p42PKMtR2Y+HsxhRlew
x+W2DmdiGlDMacfCb8YE+IA277TjRgNgNB+QDDDiRMrV7eT9/uLw3oL+67bg
aeA11mni9/PuYGOzyBVGuIg9TY6QxW5E8O0Q1w8K/aq2t51GB/pzpBk0lf8F
7qdHC0l/L73O/Kh0Qwn12hWOwAQFzGb8P7+z0R/3JFohr1xru3PFsFYI67XY
v0LCU1YDi9rmBeBGwVb6yxg6zDJaaZGEt3jUUUVniMFddtcKGI15ME9x1tlH
w8xI77sWeX6PG5V4i4maAs7Q/sungmXRoG7BGAl/ENhMmyhhCEw27v4WHmuE
O3dPLx8/R1xXuxMS6KQbwXX5q/Zp3wlwoP2hY4LUFzQopWuhmWuJZb3LD3md
GgAXqSWuVxL7SZUrlWbu98HaHcKulMecQ0eH3UxJ+2Kaw10ybSsUY783FkWy
Q/j50etnuC/D72L8dDJK9djr4cS/VSN4tDnQX2pT0IYKY+a9HWQsME/8oX6b
0AbktLbfJcqEAHs61DIkZFrAS0Xc0TyD58jzYz06sE2A3vEcXsev+YCOZ8FO
dAPqKFbquQvpuZn62k8nXdXAQgHfllG6Gop0Sw8g4b9rTaZL5iSBffCTZUFL
WZRicHCchIveYjzSfpcFfFLNwzTGphQz7/4lzQPyT8BWznLvBTyL9E5+OCHI
yUFH2l+orDH+cr3zPnCCVn178KEU3FyvnCXhWzkVFxVquABHp+/AV6NrEH/M
JmyNiEdJRGqcPm8DegylLWzENRAL73cnkv3R14OOE4s+YJfGgU7NqAbIR/HQ
eoq43oSLTmxtdzSD4J1697z+EbjnOoyQYJlCrw9prDPFq2CL2A0LNhAP7YsC
Oy8S/Qf1upR0+0NP7EqBuuWWxxlU59+cSRoPnpcy8VGxFdZk/t421iIEyWVf
F35NxI8pnyh7cd8YM2Zwv+V3dgh5fMjQ05ufRqyHGd2GcpWxMn+6wF3WXajF
n/kVFMLDAI/Hd6/o9gGzKlbe7L8EJEmXRlmVnQFb65YzByyKQXeJ38lhvxco
Xvi4tydxPEF0GcBp2xKoyt4J5RmxRNqt6g83iM8duT1uxmi9D0jnZPmtk+LT
6UIqo0ZrlPE8xzT6VQpwyeL4QPK3dRcflH68dQkhyYs2XJktgLW1kzGs9CLq
YJOhIr2XVHIA676jHOD23YTEVYeT8Fr3i0ESbrRW7hCDJnFjPNl2P895QI+n
Xz+MEPHJCjfRJXkMtPRc5zlN7N9tceMhm1oETLk8zr3fewE0Pr9csKlbD7Ny
qd7UOhLj/kSvTcCTb0Dr5k/jtwVD0K6A4rNb2jSKZ1d4JqLHh12UvNN6Lz4Y
cvHd9skg9v/ASAVuE9SxQw6/xFeV5FD6jZoR0nimxj4f1hSTw4oOYXf0d7mi
5yfWSmeI+K6qBJ2WFBlsoPbxx5Ejv9AvO/f0ODSL3qqHvr8zyY3FPf9B0Nfr
QoN+Xyjfi+ChTMBqKUF3AHwlpL8IoiklroPUK9WtBLTkfuNC9BcfwMLDKvKz
l4C6WWYpK4yLICf7k/mQkw/Ak+hpkh9EnxPr72ulyMC61ZEw89Aa0B5e8/vG
oA4yfyU2QrL3l+MD/eUP9wHfnLWeB09p4J37gWQ/JDrjHBrKtYG78VHgz+lq
FWQnbJpEjhdCafqmvZRg2eOVsKqbCBrCy/8h4XdrqoQauVmAXeZ7I5WWGEgz
v7fXa5uATkkFM2jXSAKG8bfxn/oiYJvak0YJ4riME3Zut+1xAi8q1IvvuHXA
1cGSsdu38XBsuYR7xOcX2JvX8V07qh+O1WssGFrNIufbncMvvOmxwssXTmbX
e8D9EroGw8R+Xj5QVL5RJoQ52kdK6NvLoEuPPEjxF02e4CiNFzyGHa6svaa0
YIPUXE/4kvLNsL4JcakqdmzcumziulYXMlX6uKIghkdBv58IGoMD2BULYe/T
2t3IQuxQ7sPtORiaUOjGHki0v5JARk17DKqz6t3xJL7XYbqS91yWbuCI6jPp
QFc/5KIpP91GWr8ljTKNIVzg1WdTmTOjFyA1zomBZB8b9x22WjUqEDqH8+mu
gpC+dKmChJdHsN5uNqQHu7rTH8R/mVPsllgk299JpYrVJIkB5PdxJNvM8yMB
mTpyHLj9S7tI3nMPSIq9aG2XI4vutGJkf745eSdjVnwOt+eh4xW997bwqYnj
6gopv3Lab7wStR90cfyOp/VIhCnxRnu7NwlozZmSaZPLCzC9vPblFN13mCPo
E1LxAw+7mDiHSxT7AONueWGx392wufV4H9XIHHpdkGHtMrAbk1A6IinW7QQF
NFhZF4n2DMHl380KZ8LKvCjzH6XIIRRROUyyv7PMW8qp34cwX6s/wZ7HrNGM
qcVv0r5PsI47GMV8AJsTWaVO+NyKnq5ZZc/SE5DuWUeWhV4K7PVbkcCp5SG0
G+fBft5vGrLe6nn2+VsfaH7gYHDB+yOqSheg9VsgIIIFj66arwdIZqfuDf6k
BmMWtUh+nmhvi2fL7HygaHXnEXueMrzh8zaHhP+m2ZewgkmCR5MPT5C+Fy6l
Rmcua6MN9Qtcq/ltQIR7dYE07ovHVip1V8SgBytfoLqCKLaRfmCx0JUC2ZmV
kuelHceXkfVOCVif8OIp2D6F7Pp3/yLHZ3V76lcv+UGVmr6Na4QeWtlTaUTa
X7ebXhwfqTgIPuqEHqsXLIFgr/ml410E1PXaf2wqJAjYGDrexFW3wybRP+F0
cXj4CsnLGzZ0g6m62N3cN9ugaytrtOscHlHQ3JEWDlwDf4/V/bDDO8AB+rP+
f4njvT6qf5aOiwb7fTJvOCL+FKLuFusnvQd0K2L+oU+JxWvlLaYkm6MBTekr
pPzzN+e2ojovBbaP8UNhmXUt0uH5GtYbQcxTesOjiob+gFSxTXh2dRoxPAUG
jPJDEEXpBklZdINGW7kTxWZtKC68Vz+ZgEeZHdQjYXq+QHtAHTfV+QxOUzRd
4iHG5aa5b8xKbkbgOteJqRsrxH2428Dc4/o7qNNg0Lsl/xow1bqbnNjEEO6g
fxNpnD7mr990feAHKW2pJy10VssvHOwjx98hbSvB5nAWMP/EqGyflB4UHDlv
T8ojPFJdj1a6SQHFd4ljxPeHcoZ3cClODrCDVnSxrXwUXBHs1fjo+wgJpkV8
4Sf+Xrgk/pW/sipQtj+j/Je7Cw72a9cZyeLR3VDl5+bNd4D0DcPUT5zj8MWf
TKP6YxNQsVNb5Ch9BxhhPHbt70otdOW+H+pyj4Dc3/IFqZjPg89JDS5nxWxh
4kWkQ/Inxm/B5fKVNcC72XpL7ZAiYsm4V0caf+sVvXM9D3cAxWJFmGyBMUq6
53dyi4g7OdxfMLi/DvS29q/f1ipAHiXrg78HCcjkTf2555wzwCvY7EX2QTwy
9BUyYN/ogtY6/OdVif4wY2I/Rtn6G33dprnQWzODfvKeZh1cCwHl3ixrpvzp
MPBmaffQMjG+ed29RH/VAvgorK2brxUgfFP+2sIAATHZUX7dnHEA9VFRTXmF
SQj3+eYpHaIfuFh2lzuWRx780omdzB+8Wr7+H/9Fp0vE9KafjuIMXAePSMUJ
wcLsahK/RmHJXVuTGSO4a2FL2kcJ1+A5jF6AlOdYOTbz3p/VACvWWE5J5zvE
quB45MQKMc9VEOfcWbcDgsaV8Rbe71BwtaLzVeK6WKo9cXSs+BJ4KSrw7cbo
LLTPG9uHC+mDh8QYPx9NygYZzKkXTvC3Q07+zZmCbDx6l3pPcGxhHqQ6mi0q
KlrD8ymomeRPBO2HLmSJzoMvPxgej77hhmUi0STegY7nDjBu6DhhGUYzb3Z5
mEH7VfVE0vq/ZzwXv9kdgnFyW+HDMwmo0m6tucu5Cu3K/WTpsXwby5Fau1f1
gYD4B99J28lUoUPw4XIzfQwmqecRNfW4H32PDrRctZqFvzO/Prc4bIA181DQ
/5QdQo3+FnMr69Mwe9Y4vKbYCasc3Btdcy8H2cgYOtTNEqCPBq+l+5InmNR9
BA6U1CHfu1xFe1wJcElS2I3HMhOoZu72WXwpi6L33SL7862ZnYapI+O4cQ/9
P9iuVCTcb/KyfI0A08Or8SayBqDIIpBTuZ8LBXnvJvMRQ1o4Ic/VhythhCqg
iRqVKoeT/dUWTcV1IfoFnA5VoUdtLgMKT/lK5gV3FxY+aTB2417SXP7RtD1T
Tle5RG5f+zJxNVmfgPMTkzkiMr9c7nHsNxk/wOLn/elxJ06lyPmyf3R/+e1n
m2Tc/laGfsxbPK4tMeMba+yy4izHIBmv7+yI7FPvwq2OyL11qO8sZ9L5j1cK
6nNSKZzH4z69i/sgaXEYJiueIo9HUGcoKHvgJ87BJHXtsURa+cXV//jQozsT
2eKKeJxOmCv9QJIYvHpbk8x71CeZkvzkh3EBYJpLsHRJ8Xb6BLn934kVKr8y
As68buy49K5CiLu/adM3QICM+R2nuIINQez+MivDoAgor3GxV5bYPuNvVzdv
ixLINe2gder/BacV35X6R85C48AjYeLrucB/sFfcTKYS7jxffPI5nwD/rIkU
n//8BvTJMFf9Mp6F6gJJ8fyZ/ZCvrLJSVUIFO2fE3F7BNwxT9HlyNUym4XL7
8kxN81Ws5oT96T8LvdDYW64lmmYOdcb/GIqgcMZidn5J4uYIMPhBSLzkpRyk
bUtjeaE7Grtp8btY+ps5spCu1ySt2zjF5EhbwRCMPy3kQ8AjAuJkWf9753It
8sGJR7LceILJct4pVgjrRcJyXd5HTszBSDFjscSvjhjbXr4HxgzZiOB+LHFi
ngATw05hxbsywKLNxM3EJHskJBkYtkyqp90yvR5YcA7o7ae+l7jCBfsK/pD5
O232lXo6B2FQ1HbHyy//MGQtFiTPV5C2qqOtoDRgKCs06UndBaHoZ7L9i8vq
rBtWZMFi5Qu+eycHyyNH/6vzHFObP7vxTgb0usJAenVaVH3GkozfI7RwX7go
Dlyu37G2GD+CouP+kusVJrZ74rP0ecHcmxv6p/0M4dC+zPQt0npenXf8UoSB
yOPnlM2os+Be59NOnYvEfjjecJe2vgY9nc+hjW4XzKQ7SSEpioe5YaPnYpT0
Mc/VJ1fje8cg80e1qcOWE3BBcnH9hdB9bCeeg97MJgRx7/dZTCHV6y76JR3h
c8Y0H53hvEDkM00KFsfsVOLhhOROUH+LBca1+rs1Qq0XyYnYWVSKzcEXTxWd
tOZlsIg0rm83izJQWx+VcPpfAnxaafatgvs9eBRGzV/NPAd7HHXG/fJ6obk9
zVHrLGnskW+J+lvivOpoqmjFHgiBiXdQ5/GjyljeiHoFKW+QShmYcR/ShXcf
BLwMh1ZY5sOROZJdbvVMWvRRS6E9X0rAsqIcpvRChzwfz58cZxetZYZM6txa
Aj+4sOHd5uR6aOoNWTl2FmEo8SFHO5uBDbsVQqm4j2sO7s/xfoD8e+H4wC9u
niQuzK1w9yg9CzcafTxCnvf7Fy6doBUzAYb7rr7mOZoK/enulmUR/c+ntI6O
+3qpoPCURFHeVhc8xFUTLncQD0deOfndapfG3usH94YR28kGPt7eY5iKagyj
Rt9j1zBs75Vrt/FEXj2ZRcn95RM6xNd9bEmjHkueT3ca5CPy2PR1CXmDFvRj
UZbpBV08JvnbyjT0cy8yTlQtOXl4Dsoa69RNZmPYWVPlmI87n5BlQ2DUDHHf
7Hgoqw58yAYvv50VurMeg5LdXrQ7E/Pz6Vuzw/xaviDCxvDdnaPqaOWxly+Z
P4p8Va52BOBAdcR3m3MQ3VNtryLh6/M7mWl8fGDl4Z+i7Sc8SPUVFTmOiCVw
R/pqMQBmZe3DWmOskGenhlTvQup/9HYl89ICNX3pEY85UdhQN0vyS+jsLfHn
N54fBo1ZvFQXvS/CFXqHvSScUVhwZleWNjgsJxjdF3gdvj+qLP6HNP+FjBUJ
i7dBXNz9q1fnXsPaOcEHtusEmOxFP/hXLx0Mm9pkm0p0Qu9JWv0xMzzcE6zT
yOHHjrmeZDx5dHwYOkgk0BW2TyEeGoHJw7suYDlg+zMLFoyeMyr//kDs/9KD
T4tnWU0whUpr5ZPtA6g0i5Lz9v5ZJPrj7+fOQDXs9U8aZd7iQWTkde2srsYM
PPJbvcY9lgfTy8vWDbDDI18vVofTfzvg2efz7IqujeD6dI+ep8gvNB2a31f/
ZRapxs7QzoqlgbtMqyrlFXfR9YP0ueGk9x14UzB8VxMkjX5bZ4NTiG1/oEpi
xghyKItUPtqSAPRkI7io+VTgiVXzVHK9yKEKe+15Gfsh9ndil8IUnBT229H8
MIICZXiXtq7XgWvvrGlmVSD68WGCPF/SPRmuQb4M4H77d80HnubwhD+FJclP
2ggfvOGZxw1W74dk70rohLpFmlPNWnik+EXB+ph4N3gmedplnwQBHizy7+so
boZPVriHZgQXwI6+J374YAcMiC9QDYnAQ06JV7upr+wAUbMx06n6QejZ0GX9
SnEGxXG1CO8BwtjwWsu7oGVnlN/ERYUnPjeH8KHsbokMxnFVxl174ifCURW7
WfjOoc0zEaerPvFhhf4rHyLVB9HZmjfHP0bMwHSaDbuc/r3YFHbx2UZFB5po
CnehdsajFIaT3HoOLYBOLT969zk8Ct6RyDV734mqKZQsq/Y8AocdONiL1gko
kvNGe7TVa1geMNyrNVECHgcxbn1PH0HdIYcDCuAU5HYmOFZIFAPrAcpP9SJK
aKM3uZy0r4ek/SqU6KgAo2QOrLCXQOd7n82T8LVXbc4zlTs4OX4NytQeBdR2
+2I9CSewB5pFWR8AitrfxZ9xPIF292+nbRLzfIHUjafeR0+DKl26guse0XBP
+CR8T9x3+68lfyxO1wUNp9Ksb/t9gRWBgv7pbQQ00uvlbaJXCUCFSH2GYC+8
R/3wtJfsHBR5/hcQVBZB8bErN0Rn+2BQBtv5k02zaLE9J4q6nhE7T5d+Zqvo
GmK7oKlJyjMZe8Tp41bZMfThmMWB2nbEMMXBUheLR2EpyOGn/iHs56vcXHWi
nV3q19/+JNoZrzP+3Tl/FdhesTI/UlWPBAXaV7RsCGizkfcR90gLmLO0uBZ7
+CXyEZHE52wSIIPTXpqDvC5Aju5yhU+oBXIsfnucuK4gVhS2seXNBFCp5qUM
VzWYPUQdTLLPjWyjS7/O7AeDl80/GhlKwqpr2gQS7jbW+j1mgx50VjTRCW4w
IPWPpWQ/ffbzs7Lfh+nAMe4rdNp9YijvEiM5n1HGV6po2u4CYffrtSXkz8Ld
Ztciyecg2pG1ZiobuHmhjIJN72jonidamkm0f5Fs9DW1WjtAfcBXYftUGeRW
E/fzaiQg4WzDLJ+dCqAkHUM/3tcN9YSNDN6OzMGqaeUj9ayzYOkhG/10eBcc
fjV+nY8bjzyzWvfp8VNjD89Q6w3zW6E/rdCOVK87mCRSrqZ7AKu56stIvdGI
NEQlRxfUCegOrYBMvw4l9oZBWZ3m9ziiFMbdu281DscjhT6kMy6AP/55LoSs
TkS7Rqkbo4FHb473LJ0RaQDKdIf0xbLSEVY1OOBL5ClXcl5986dzA/SbNvsr
o1WgfsvpV6T3Tdtk21iQEwU+h1/0nVGbgpjKrRO2r0ZgNiGC+pddI/hq3/kE
lpxB+iO66SQ/wOBcMmTn24kNBH6+Wqg8hT4caKWAaSNQ6dBbz5Fz/FiV4ZLp
3ye86NLxa6TzRzgSvsIucEge8N8MlL/CehaVOjU+IeGj/cF9t35zgZv5snMp
7BnQdYf3Oj9xnHPHOpoqm1zANYFJ3I5TE3xccuxKjjIBOUvjWdW0y8C8cNVl
UcIP+IvR6/uzrDmYlcjc8UFsDFS59g7wj7bC+uq04t6DBPQrP37TvngdWBKS
BBiZzVAEryv5PGi5OOqCpToFhu5/LNSorULDwrlDt94REAtH7VFxg2XQ3PiF
nkocjxBbkP9e9S6owzLPYKExDhxWBBd7qYdREs++n9wu08hCz4NOILQCPNB/
2vbGshYtE/R1FiII8NQUv+JDzkCAP32Sbbh2GnHtMnDeuTcEu2u9UwJLk0Ee
W8NTzsOjSOPsteKJqUmUfqTn28qeWMDkcMSYL0gcmU96kOsiob1Cw/2rnMD1
hN5CgIIyjHuck0/Cd17EZO5L5APNp9M/DgYPQsoLxk6aDjOo4Zog4wGrLrAl
z8KXQD8H/zBSSkR+7YV+AVZNz9eGwWuGlcL23Eo4NLWLTT2HuC8SJm1bdrsC
OlHTvr+HhmCYATc0ZpxBQDtAJlA8H0Qb+9jZdk9Ch1lRCSA2Cs+/Fh9ubBkA
FTsSTB6va+BYx4Rq71NivK4+JXJ3Yx5QcgFHuhAjlLrF40Hi3foJ3OxPfq6D
P486qhyictGRLylBeycJaOLiUfcCKzx4UYz2StcR0GzOXKUFWzlkey7UwXF6
DOzvyrvdcnMCZQxeHfjeOIZ8/2TkcWpWAeb6Dpd7fO2I6fHHuy3ZeJif4pOm
lxIKLMKuGeHiqlFrz+cwl2QCKrgr9KGP8h5AL/MajlZ+QJ1sXjyMSwTE+9NA
zR1nDGy0JlpfFD1GeyIv7mMmjtM3duj5Zr0Q2LpqJlZ7lQXicveRz9N/bW0h
dvFRXNro7Xb5XF3I2573lVQPcUjy8ylikgFGxuZx6rdSkFub1Fe4QUCXn7js
tTS9BZq3FGfUMwuRVdgZntlfRP9GF/Jt8ow74Hl9sje44ivMz4vWiLhDQN9/
n/F4rhAFHrDFiCdF4mG443D63Fo7FO+MKAIJTQBQS05Z0n+HbA8QlfsPPFpI
icrtIcyD4CPPWQdCzeC9B6/iSOv5y0SNRGFBCNY0dpi+hcij6+M+NCtLVyG6
vuUyX85oLE6dRc785BCiszGk21mbhrUbt9xPFFzBiox9fHnSa5A3LdfPpKcE
GEa39mpVKxgs2el5VkNxdGotd4HMF0TfLbx0WMRdoVs7bDPEgsRu/yGfP67l
8E5eZ5/GbdQV2Hps7kVnZq+S+UXThc0gj8hxHBoYEzkyvVa+b083GcdFPtBm
tBvF6S7T2tc+Liu3bfiPb/59m/3p4eQwTrdmevePI7tgQnsBGWdvC/rgcnMY
x3xAOCj35lHYH/eDzFNo0w52caJR3Geft28UDj+CycXd90WJ+LnCR88m85RA
+FmLAzNUP6HVWryQVMYc3HTOvZVK9xbcwF28YKk2A1cH2F9cKB2Evhl7WHxo
rmJf2wcISkSeuPNb3r6UyBNTrlMKjT5zxvYZdw1etDZBFCrHGEnr+WFoN13S
agCmkPlbx4rIBx9Ufrl+/kotkrt60e560RPsxLM4j7u2vSiyM+JuOP8c/CBG
Jf/65U1sIfHAFY3bxUjwDuuq9g9i3PH5e7c0LQMIKRnYf556g/LRoYstxPyd
8RLvZdoSQ2DfNq/4MYQKqjQ+J9tBbDLW51MdD+Da/345LX5D8aRlGxnvSK68
d3NZABh6pd06Sf+lXL79P3uOP/NnvmbJDzSmOyLe7psrN2z/r7596FmTjrAW
J2CsaFGYfEmJbhtnkPHqF/E5tL5MgPXbw6oFbRr08VUIGY8R20VgbNgDglV8
JGdHjWGGZK4oiQ8+FWPhdlw5BSb6nxRmfCmCzxyueGX1EPNn2neuhVRvQHAs
/w93ikG4M9jjcqpgBsaP2JX3HNTHbv9V3HLBEyC1Fu8Ma8UnOJ/z0mqs8imG
1IYoyoh8MC28G0/ig7IbF+QtXrlgIrIMZ9P/4BHz78cfvU61IZ/mHX0+zmvY
/c6OlwGDPSij2cjgruocXGKumC/74YghA+HTt1Xeo8E/+e8t/xDtvDKMLwQZ
wC1aPHeZbg5+6px6kd3SCzdvcgtKImkM/9aFzdBpBiXQvDjGe3sQBohdbONO
XQShGn3nZVWnoIZH+sz+NyMwS1E7aMbiFGZ418q55dU4tBUEpreIn0ryMQcp
5LkxfFfzvvXUETh3x1wg78wUhE8aVeprKbE6yivMsp6DcOJNSuek8wzUczlw
wXeKCXMQVdL1vcmCtDv2kvMT75muXOn7Z0HT11dR828F0aX+IPK9AuGGmla7
CgXQ9mhi6e9UGgym4a9qXCHAwzV2fnnnU0HQjT3R/Nk9MEyQ6bzVxTlomcV9
nvmtNGbOuzyhNjgGKdlwqV+NJ6Csb+bt6epQbLZc3vDUHAHJq+bqBF7OgfkF
bqdq5esx5921rGbVBFQ89N3uICtCTY9O5z9uuIadKk9cZVXqRYvUQFlOYg7W
f9SrXVqWwdL03WZl9uQgFrnO8D4iH+SSf8NQ6voBZOF6FweeGqBFzakO0n5J
rEKvT63dAPNlGbPv/AahX8vMl9dEe5/P+pb4S4oPOxOT/oSWyE/stYpOPyTy
lVsKT7m5CqbBjTKO0wLJ4/DF7bjbh1+Po9XzNpuzc7JYTJQndSnRvsHHh2cJ
qSMo9Qafu6ABLyYonGDo6kLc15u4tgseg0iI7+4JqtP7sOelC2vNPHPQIVNJ
Ls61F512Gi8ti+fCVB2+XsnaJYm43m6S80Zs3aCd6oEdKC55qlDC8QbyhjA/
1SLyQd+LzmLftdPAgQDq/IqhTnhvrNngI8TD45cPHKczYccKwvolDcIIULGA
ieHSSC36/m2FXc3/Kuap+fWSrEowije6nETig9HST0Xcs62whjS1SFrBUXTg
0kzSy95JFOhK0Fs7HI/FdmcyeDMPoVN2TCrBh2Ygy8kxxZe7MUx1fPrNbhE8
Ype9H7nXsAu2fvGKmPhRDXwvCLvWXPiEvvdRvzIlEJDloWTukCvBQHwxzC3y
mRHaDHR1Idlf+uFzzp9j0uDzbuNn/tgUGi+ZdFsi8rt73XiC4lICSEnfK+yR
OA67rsv9/po6joZHPX0z12qAE3VGyk0dgASWzb+T4uAYxyaYlGMEOoR7Lbs1
JeFWiiPJbqiqdJvG7SclqMzpVzR/ZQabKNSiSfFIbjdOUaBPDLDRCQns9uiE
9PVPj2GX8OhDU2dKnF43cOfv12zaSIHGH4RXFoh2fqz+juWvVSbQUE2eMyrq
gIcfBiZdd8FDjZRfdi4z2yD9cVOd++AwvElHf6OnewoJrVgHmZ5QxV4GHkoQ
pXFBR/J6hueIz/XKuEHnrQqwtXhDCfn5n6jxu3/Rbe85hC+81llbK4cF7FXJ
hZ8HkSX72sfw8zOQ4G4hMJTLg9lu6t5k+dqBcvhdNaVu4ZG02jjt0/hGcHMu
u2X3GAFNqee67a7Og6sMi0ZO5sR9pycSbvFoBsHkIKuraoPIq/2FhM2DSpCc
GJQcqnof8Z0YrL5Bqg99Ne6g8MGBl3u9FLnfjSO7sdostvhx6P7qAZ5yPQ7U
/HJ4V0n0M3r4Tuorr0fgYgduUsq5DpgwvNtKsrdFR/JtBUjnHed8y2YeJZ0G
43GeslcLfaCP8YvMbiJOp7TzjoGFFSTSdVmes/GHTx56KX8lnY+wq3l9a70M
/OCuMnsVApz0I3ClXGiCDPpOtuxuC2C0J1CJ0aQdtryy0uh+h4faZV51x/Fz
QK1G+7Z/3SDcJac3FgBn0GkTrR+VbXxYV51e2MfSa+jl0pg6iQ/qMSQsWLoc
w3YHGcmcq29Hat1KU+pEPhiqPdb2VpsF+yBbb+7ZMIjmPWuCzinOwOyPIQVC
LXuxmt7VP+5zdUh6d7BJ3C0C2jOTuGXc1QLelF1l+o4rQTw/Tv4d7iT6ty0i
tz3tCV5VPZsTcP2NbFgEt/4MzMCVQCsq5QO+4K7w4cnC1yMoPzMs1oNoP56Q
MG5WuWKQbIna/qYqodPlZSWkfS0if6UFN0oHSs6GlvO47EfHS1XIca017k0Y
/9gu0KSbuaUGlJCJETeZp88IPP6GaLdwv836xEyS1CGLwwN38r2mndjekntM
4LVsYaTiyjN48Uyp6zEi724cK6XvVjMGr1XpbStri2Cqx0PWxz0ENErJlp+V
VQGE45itq116YMenkMUK0znY1JiQ8ihjlphXL4bVTvfBFby/1iMi747b5X+y
uZYeC9DfO3qL2wrR5qY4kPjgkKrmA5PVg5iY+Lep3s1GlGBzKfInkQ8OGnv+
5VamxrTaXkZLcE8gIYNsHpajxLg0kfNr7fUyYON7uJel+htSaV8517CDR1ov
Y0IK37eAlJ2Itzo3H6Ozdsd92Yjvde05RQQycgHNoFOv+rsVsr4ySEt8LvQR
WuT/0C8MIpneLFGrT0HPbKoex+QRuP/NVJy+dSN4tT7i/ihpHE2Jtwtkvx6H
NJekMyNWebCSNo0lj+M/y9VL/rtPeCzWsXrzgBTYPCdOnyosiU6rZZL97aS4
zSFhLTYQyN8iWP1HBQEl50QS/vl8h2/2q02cwgGZt/tFPsCtJM7vsUsEuMN/
s7qz2gVknHwhyc6N4C+ZsDYpYrz6mtY2+j61FPQmbHrH03VDl5rd7Uf34aHZ
rtTxppoJEOCWmu1L5N02GnmX5Im8O7UW/0CGhQrLSxcXFT9ghsQasTySv4IZ
grd2ce7CNij73NO/ViFn46Uf1kQ+KKCwSWmmtwaCa2SePpTFI+/cc5E/ubog
9/WJpz5HZoEU2F+RqzqEXpvSGXTOT6MyOLFyJ64OKBMeBcv530UHIm8FR5D8
QBVrTlLYHXDsjX7B7MA0Gh1yZwmxHIINHZ8eL5UmgWRPyVr7PRwowN+YXOc8
GuCf82TZGORocxyYeDkOe557OOm/GUecv46bnUmpA1C1a7NCaYrITw3T/d6N
oIJSW++YC/zYzC+BuFbnQXi450svr/sMFGHY8/uuYRdgmk/NL3Z3Q36pjgaT
xPGklw574G7JApX+gpUlxhr46fdEZEo8AQq5I70RLSeg2aO2dUGzAxofTRqm
CcGjhoDtbz71BUD8o978eewH/Lw+x7fv+xy8F2e16WQ2DPAimesqI63w9ed3
nZNE3s14EDxTfLoG1p2W7wEHI3SRSt2XFI/sN6McHwlvALeO820mMbloLOnp
l91EPtg/vktk7DsB1DIfaaEi8sEJ/zj+C7zlkCpF9VIqnARXCYO478sT6NKW
Vuqo7Bj6qzMxO3McgUCWNq8FM4QKJ15oqFURoBGVvb1tTBBYqNFUpnSoR0Ls
VEvvHAhoe/JXjXNjKPBUGwx0fDCKKvWnJh+FT6IYepu7d/ufA6/Xe5zKN0WR
0tIAuZ78jLP4Eu8yKxBsi3nev8YIlydjyXxQL2ZcJCFoPzi89+ylTV1TyG6z
3E9aP+IGUAa9UADm9++XXt2ehWXvV9KOHO6Dt/2s9SgUR4CFfnuBalUa8lxp
PTpBzN8+c71eDbtrCFpCE02vyw7Buq56RYWNaYSPMJv4TPEcaFArbVdvTULN
7NuC1zZH4PJtTXfV9wPAvLLyUUBKDQy9Zaw1SuTd4ZPt1oXm84Duh1T0TpYe
fFZlpEfip3GuNklZ9wMwPbs99x9c5ED8SIu8robMHjgz+thhu7sy35Hmo3Ik
gudmoCH6PhMbwXfhIRZyJbbRb18XklVPP5p8Gg+fyC/rcthWgIbgQ5Jje/NQ
nPPc4O9xAszW1OjF6OyAXOrnuSgJTvSRaZJ8Hvonebw7rmQO58x/0sCnnRZ9
1zYi+4GwN1XB950mcQ1skWq6scvlmv/OK4tMmOFt0QncCAMO5nW2lpsz/sdf
aiJl2bd/jOM4nPiDzozNK6YJ4sm4586b7XN7J3A157gfsLIcgAqNODKed1N+
qtNtEtfskLU6t0cIsrXIkfNnT755malHBNyj199V19NroZAJZ01fOHGd6BYd
1nxxA7RaBGaohI/AKYcHC4KGU3BcqFSmQus7iPb+6zfnPgfF/9QNU+/qQZ9m
Tk8GRz7G+FIu0CzMKKFrHI5FJHvWjV24TO18A6sD3N4tNjqwue3YEsn+QY0J
2445Idh45jmpwwH6qMd6QoqED1t9O5lyIggL22JVzqCmQqZ1CeRzf/2/d+W4
vEMw4W3bcC7TU3DXwTHSfRJY4PHTrOJzBKbClqjQRLrveJVH68fBO0S/lfWD
XyYK21KodPm5RUCSurTn2/1iUXZTiYxCSCSW88BZquN3J/Kofh2wWwkPeTeU
LrG714NbKsH71qNaUEFsxxk7bgL8FHj9l61QPYiQKWyqjC9C9e/q7Jl6if7h
iW2cAo0zSPmiyemzEoeSOK9EP9kiQGt48Vyw9DXgIrW49lNwurzgAvneJvyu
793w6fh+MHef74BqNQ/s/jJGrvttxcYWJnVyAagp6H2RaVpR0/K/9ht2+9pv
H2UEZbvuZw84sEGv9ffkekLSrdHcqVxhYDpfuXT+6YhiAuU6uf2s+0vdeEdW
cIKx71DtrgNQfgL8x39fTFfxMEuDP59XZkaGGsrDDP9bPwSVSSYqVTaQyNw/
IMf9TTHr4H84remttrpeabDrPEerXtVwuXXgf/3r3Gpx/3maGRztPTjrm7tc
HtX43/n7W8vzofkfxUHqydAXxzyWyoOuTJJxN/v7odcfHACU7q120yzM6LLD
DTKPe5OfVCV4ihdo6iR+lQ/6oHhh6b/nmqK6eP3L1KB5u81i99IJFKC4m1zH
oI7TXzcP4QD5AsfFcLxpcO1tFNuVVQJUuDowvGZlDsoLWPg/FYRDOVeez8bE
9gKiz3q6TQ2BwnPfEz09vbDCL2JJ4ADpnC7o7euSejB91+synq4Deps6RhlF
4OGB1odPn2jWA54qHmsvd+L7yAtkCt6rg7xZP/diIVFYfUGhGeXsJCy/kcoc
yjgKWezplWfawrAowp2vOoIByGdE4HI1Kc9sP72LnTsWexXwje4ujEZd2lXr
n7cJsJki/O2zkHeYXozNF1L+7V2bUPeBzQV1KdunzirOY9wtp/dLP5GBsR7M
5Pv5OcOlHAfUfTH8A7fQX9PEeLCV2Llu+Rl1sYxF5g8FYud2jLtDrzQS41R6
c64OAeKuTzs57mkAonwHvRjq3FG5TCLVGLEfR0Kro9Lxa8DzHPOHsZhxaBI8
u3UxaxzO6453M22LYhyKgkNeL4nxMj7er+bNOJSafvX+UTke3PR9XXuemK/E
rFtMEJLG4Y9X7dJJ87LYMcWtg2+IfN5BlQK9IH5yvwt04SHyerRGvYea+J2e
cqryVMo4DPbDb0wkUWOFvUP8+UR+upBYlBhGxH+VdodXmR3BJOP8Oq1fH0MJ
rVHk+Q0beXLo6J4LYNUtSuPzjj18IA8w0rl/7dSTjsb3BsAM/1A+b7YVsnaW
hF06SICDdcuOJyQbwAeRO102CnhI157QuYzvhLl6tw/n5fthcTo/lmTvXUN2
zVTXiXk4fKelx/3+SwzGfLmGkGRcjV7cueTTlkLM69T99+EckrFrU1ZBB9bm
EF2JQHKeYzc8LsqWYtv6FYutuMYe7C0GxSacyOcg2x9s09I6vLD9CZa48r5L
6OAL00SSv8o/pk+T5vkM80g/u+6XR0D+Y1qtFAaVSOaqePt3PwNstDpjrUmU
6O+0RZg/DzYj12dZNC77zbCpm8O/bKMaEI14/Z8JYwJco1iesSbmjefvVew9
dr8BhZnJHrQyIcDwl8+vKNo0A/d9tqoVmB0y2HPkCen+ZLmq7/VnKw7gmfBY
zrHGJ+gWXz/rOHG93T/F7dPy0wOUjPC8qfpM3IcDRXb84ZUo7HzmdKqJLFZx
fY5OzLsbjn9iGri3PIf+lF240TZ9FFvVktpu+EjMq+adhCPWK5FXQZTOqbC/
oCnHuUE0qBs1fzvzvPvPHBJysz7i9nAAmKYKtTBkESDX/KXSWuEqNNd8b/+v
CwrY1+C79fedif0/uW74d2UOnStWVL1Qx4udOOynkUlsf0bfgYWTowo5uqrw
7A0RwpwWYq5ueXTDGFeaWgJxPFexizSxLIyYw4R75SCx/V1J2C/EXIXa+I7X
LKrSYa+COc9WE8dv7m2T50hsn07xsQx6/gUK1DsDc8T2YlPn2EoYq4j867in
iiAPtmsumbvbpxtW68YInSK2lzj/9UOg8H6sXTfj0p99cvDoqcujpPntPETX
3bJxFfT8hk3TXS6QpRd3fJY4vwWf83sr7b3BwjnB2vCtUwhY7yHfqww4ksL1
mMEK2AcarTDmqqKq+aGnJPxdy119gTV3cDaL+1VxSSOU/iby65oW0Z8LVukZ
3GsETIP7W/XGG+DHcS+biCvE+blIx/tcpBnQlYSEJJgTeX6syRcjjQb0YpqC
ainAAmMOn51rNZmEKRsDZc8qRpFtDadGQJcOZt6qHr8h/RDepT2yX5343Mtt
N1q/LQdiafSRfaXmmTA8zCuF8y/RLxlxcsQyPsZKfjs2l/vPoLSykcyDFoNo
0Tcj6lJHDUZ5+eLms0k1dKi4+TYpzo6oRp7vjbyD6b38Gr0dNINqW677xxoN
ovd/zHs/GxpiB2Kcix/saUOZB6DU2DoeqqInEeMOHSAb/4TR/94gaqBmyTlq
NwM9R62kwd/3wJpGgG1+fygyz+8PSyD2/+m0mwxT9WVAm3Rl/0r5ZWT7g82X
tI/01JbzTF4LgKvVhJzD7oPoq8oXVnHXGaRI2VJhKhUN4vnapYvcibzbnD2z
2WUGyXmGmi2HlgNciluzQrcEmk8TIp0Xo66r9dFVBxnB7qBfPUIWMjDq60Py
vWuOvPEIdXNivtqyfiow+wZ8vvKQd4l0z4HZu7VA1Qz0Zi9NchgNQh2P7Zca
wTNwS7fg15v9w4DOsjryFXsDvKW6Xb1kSYBy2uO1tb0twGvzdtNuphFIU8Of
/jJnCokd4qE9fw/D3gpznmEcjoH4G0deuRP5b+fkE+97Tjexuv/ROxz+p3fo
fyt/KKLeB1WkmrmR6hVPNz/G7qXVxC7/j25i8p9u4vX2Q0F2LoD8aSjaSfh5
cZVGhXid/1834fVPN8H0TzfhS/WwriJqAF30t+pkPzaLGtzoNBVOyWDl//QU
rf/0FEH/9BTv2VptPY260E1fmdkqYTwUqRbwKJDqB+b/dBZuB//TWXz7p7OY
XInhqP4zjJLNBR6s1E2h3NlwzQKeD+BS6f/VX2T8019E1d+fTns1i+4+2rHj
fPEL2Ur4ntTxCgeSSv/pMi7802VIrPynyxiuq8d9c5tBszexJ2YugygtwtHx
9LNKIPVPr6Es+p9eI/2fXqPUy8VOL3AQZXtkC3c4zsAMT9tblsT18//pOOZP
/V8dh7m39nF6n0H44aKFn9StGUhtwjrp97AciPyPvgP+03fYz2MjH5XsEQMv
7hspTvm0s1d5mUmAwP/Rfbz9p/t4eeE9pOUdL+c1WCXnOe589z1ct8TAxv/o
QUb/6UFqctWm4soj4Of0x05SRNwkuCH/Ib0caP2nE/Eh/KcTef1PJ0KRcvVx
w89BmEbBx9MuO4N8OjxDdzEOg7Z/+pGP//QjN/7pRyaVf/AElbfBcypNfzKG
8dAHPzvFVfkDaP7Tldj/05U8+6cryTgQsR7b+hu+2k3nlF0zg04LlO1yvsyB
af/Tm3D/05uE/tOblF2+8lI/yg+WZsoEtpH0SuPRhjI78lilxrCHIHRGUaE5
gQQiLu8oYHJHXxKrSnbYdsq1Q+uf6OWJcQ292pZicBDjxDpbDt361iiLkvHr
o2Qe4XkQC8qTwswqb0c6vJFB5yzHyDqSWy6lp1gOcmPXRClOYs69SJeHYkef
dw69aQsytMSfwJgpomR7hLpRCa3rBhs1Ho10X6RgYmPA2tRuieVEd6FbjgYh
MZx4SLEhMZRpNgAKrgohSfFu9D3/zhctKjzkLEgrcfYdAH3Yzh8HtQL0U8SQ
AT9IQHxUIhIuQt4gjjetkdcqGe1VoWYX2CQggZA66R0xd+B4iG9OwW4O+cWZ
JnEr98DKt6rp+fL3AUFIlqFP6SuSqirRhiHE+MYr9eniJ2ug3dSQ9d4Yj6jO
24yUnOmEem4pz6S9q8H1299qqi2+InwAI9tQEAF+CWeMaRxKBNJn7rVoGJ5F
0Jb9MfmexmBDg9zhA8A886XCWWMZKJ8US84nW740/O2fPQSseUSbuZooYWju
O/I6xPqiFNAGJXi6S+zyyXeLiktK0//pW3Xnfyao0IPIjfLDLspKyFZjvox8
XqnLnHd5FxVY2d594++SGHqjvkE+99x88fFQ+TANiF748J2fII4WtQ+QcYWS
OarIEAaQuDNYdLNdBl11cCHrH29/d0ye7VrBWclYfOA9lgwzKGPyThHtZsp2
7rrOAA78rmoZP/bmHhTrLRkOIOkhjALNW/bzg9mTMbrFhChYKvL8TDnRr/6N
8L0Z+N4Z/Pz6q1gmLx66ar6oO0n0M8u6PbbqdJ7Atotl7ldvO1zdXWd14yke
bihEsHKJ/gIU11vzlU2+w5v6LEcoWvBQR8J4tsC2D2zs1oh8MdcHP26nV/c3
zqIzIP/iRP5BbGYl1W5fyQ/o9/qqpWLRHOL9wuoseZca64m6YXeOwR2KTb/v
HCfVk0UrlNURH1aE08uOeXQLsi8nuMwT8Ym2TMmOMFbsqPDeOyZ7riFxU5sv
pPow3fLfEWycCXNK0nddCJVFxZezSfer0aHzNUnqESzYnPbp6GGDdsT2euqK
TjoeVbrsU1+IosHYg2IeRl/uR3nDY5UGLrPwoK4KK415P1CnPBE0IpWKGp3N
9r5aI6BYC5zGmZvu4JBk7i/fRHuk84snnOSvMrT37Ju6wAM29QiTYuc1IF7U
/ga5LuH/QLWtlhswikybv08dh7O5OnlPEsehYl+JTH5qHWiWpDObTh5H+FUD
x0vEfP5HB5Wa0QoPppPRkMh08AiSVuAl89OEdtezDCekgfa3XdV0hidRwWIT
yR/CSx5cbY+d2cAyo9IT+UYNyGRqRtJ5w6Wdq3tdMg6APUrBERtvP8GtxeOJ
6XgCoq8Dboc57oB1FT1D4anvUEC5tzmjCA8ZqNmq31H1AHNfY9e8rA64Osbh
y+uGR4enHeWO6VNgxl4gSnP4OuRKx/eQ4vt9vuUC2Xg6bKEwo6Oy2gr9Hs5g
IMWXBrtX3WHP92G1dyrNcbstUbmt9TYJPyVsU2DEuRsLNCiLzxqUQ6fHDpN1
Q6l78DVp4nSYIrcOq/bRU0jBOWmAhDsxYU9Miqgx36RguskHLejmQba0dm5i
HIfJF2bpKLB9oZoiG8V1iMmH695eVwIqCmNR4+ZYBY7Z6OxJlRH0VmuXR+Sj
KdhEW+tsbNkHJt43FIawTqGazJGvNL9GIM+Oie760Z8gXSE2yCkyH5X8va84
NkzMo25vS7VyeYL1wQS/nw8akVJUZMO8NgF9EDh+xVXOBwj1KRZ9bHKECT9X
6v6Q8tLYTftjf+VAZbWfl9yjJ9BI8ycNnsgXjq39lnBCl8EvwwMHv41XIu4P
Q223s4m8Uq552eOOB3jrcPTUodA5FBZ/Tlmx+CdkDmjjvzz4CijRUeq+/ECA
DGbN/a6nqtAlrTgRtodt4FoF0P3h1A3/hOVYeK7OoQ8sSV9S/AvBX/8YNmJ+
jmKv03R9I+bnJ7faTLv+iGBeQdcuF3p2o4p829lmYn7eAhQ+ZLQzYVYDvs1z
J/jhs02jVdI6oWHAguKHVYH9OanZe8gKStdRMpPm61LA3Ohdr/PgYnPt9xsH
qiDHdp2xwEdinDS13nctqBB0X8mW1SPMwUwzv7QbSd2w/97bCA2HEeCwT3Tw
R4kdeiEQLUPiU+I7GZobrzlBQE2qm1/FPZS0ceeZPxE3mg6WstaBwEy69YlT
XQXkrl5Kv1hMQFKjtbE2CkGg8WZvxXDUdxjr3tujVItHwcX2HmxnA0Ba0Tmf
XLlumO45eXaSEg+N63ekaJ53gydThqevXxiBVw4mTrDdnYJZP00+xzl2gqcT
d8KYQr5BGj5ZpYHdBDTGYGYaar4KpIY4f5bn18O5HYe6CRsCkm6QsdPJXASK
iYRIFU8HmMWEBkh6q2ls2sZ+kwrLpT/I9PiYHQzhy00jxdPjdd9m9B9sA5X4
/jk2QTMkMz6SRarHXj2Vc8CXcxu8NzvmfYkGh8xd3neR1vP+v3tEflvswn7Q
0ulrRVaiwT+EkxGfCciqScixhH8RePPX3/bVmEX6IjLue+b7YbkS5zXp5p9g
Jmzj1xP9brRQY6K0vTmHej22Z7lzAoC+ROw736pk+EjjBvOhTQKsN5c0K80y
AR/7Lx/9aDCL9lt/5b9Q0I+EnK7r1fG/Arzp9smXEsLQcaX9We7E8bAXdZxp
DJEE3K6PNGau48uPP1gg1wPtaW2F5TjoQJp8hXL0Gy3omEatTMIdRJP2Zqnx
A1F903fUd2agytIPuUWrQTTjmTOl1ToEPnUeKC9mSUBUu+YYuLcIcP1ksqC3
riE4sTBwnSe1Hsr2MArX2hLQuwdJAi1f3IG4KO128YEpqKu1/fDV1Aj8Gs36
6cjJJlD87YvELesmyKarFXH5DDEvTpCuOZU4D4aeXd3/Jvca/C1RqU3y8y81
8zditZbBuX/3gsT/3Qva+XcvqHvVra2algb5P71Hjr+d7vrFv8sncB6m+2lY
//4pT4z47/9UHCrJ51GaGsclz6tc+vyuptzw2X91M/0PRVJyb8dxSHbKqufO
suJB6//qxiaEWu59ChM4lwK7lGiPw3AxQIZcf3ude05zbu8M7qDy2PObPSkw
0crsFPUGASrydrGGROuBd7R2yxck+qC6yclu5dVZOL/89kRALAIvzjZzmnAS
oMTPkUTrvBbo5VE/RCV6H5NtuOy0e6sWSi5nc8nfIyDdZ4Kn09JcMMV/939u
/bv/I/Pv/s++pYYLGrhu1Jj8SuIQcV8cmnzRr3L3GmZQ837/SeYPaEbRbPr9
EgEOZL7CZTbGA99GdUn21EgUG238mZo4/hcPRrfTG9XAQ4ULX2ZCWGDQIWry
e9ll9dKHIWGwgucQ3KO0HyabqJHt4PvI5hQ4LA3CmagG9t9tVkyX/c9uDA9a
r8r0SQMeN8vV+D/L5V/o/6tnlj+V3GOYLQ625pIiHpozIw1WK3L/nJQGfwNO
8oKRe1RrJoWcKEf1NbmePyv+ZOWHKwfI/Z/7P+jf/Z8SDttzVtReUM3IY3CA
iC8cfRQdraUHxCjb+iFWCk2lvshRtxLgd55ni8eoMsCJqorpAqIfKJDdNdix
mwAr5URZGP9fXdcdTnX4tyNkZmclZEQKCcXz5aFIkUpmhYyUjKJskREhlZGV
UhmRSFaKeOxR9t7Z+5yjZIf30Hnf6/r1vu+/n4vr+D7f83zGfd+fm1wlWIu0
/snLPASjZa1jXzHPQIsJtb1rjJbYYH43kyDlOOwaVsBTH5+At1YUy08b+2KS
B2f3NHjjIYWTM6uhYSt8ykL2Wa8uDjvbkxayU6ISRjBfC2Z9SsxvFou0EP8G
MyPpdoxJuh11km7nRIZ5CMPAGHzR+bS012gCXqZSFPIdo8BAnNM6QWMMKhyp
5lUcIcYh3RHFUi7sYhVV2n3yPYgmnGf73I55q1+opToPymOCVCu5JVBvb8d2
fyhe+uhNMK0GKO56yZXeVgjZeV5fvtNIgJ/8Dzi2exSAicH7EuG9U3DBCdz7
0z0MUzpDDkngdbGdhPj9GRrd8GPuj00pSxx0zsnpXTHyxaJIehsOkt7mz/G/
ehslxrup3sp6SC/6Mra9p3mL6/k+LSuQOfx76Hp2BzTUUT0eMoNDG3t+CtvL
8GJfzSTaXb52ogCDx9pl+Tik/OCbQPK+QXAjNcKO6V4XXDvTdqkuFIfA4vwx
lhQRbN++/F+yS11QQJSbkdwFhzRVdZYbONkwXx7PI8/YuqEH7yeJSnscyuTE
PU2aXwJseVxxFvgu6Bd1nW7QldhPus4ubG4wYEy+Aj6DtSeQ1TmUsnU+wQdv
3J077gRASIX7S/lyyJ5e7sGSSICan2Z5dL9WgsMkvY0PSW/ziKS3eXcp8Mnb
A7Ow1pAjrtl6AM2tmTt52Z/GbiQ+x16zEqAHLlH4a0ADEmx4PtZmeB1beLb8
vi6hA05FFAZ743HoLZ2WxlVWF0yfpGPZIOlYPpN0LHev3PtyUd8Mep3K1Nqq
vzqJzoeYBaVA42755JzOAbj4VKllhWYWCVgd9B9pHwQ1putKahLZUJdq7sOF
GQLUCic73VrxGVCm21Ecbx6FO1tDT8VqTULZ2QopGad9mKm+YC6XZw/MnKkS
sRbAIbk77/MpDU9hoSQ9iSBJT+JD0pMgxVELGW5/FBFm+z6UeG45h3RPqxw8
Bq7J9wVGkg8jhRURXeO70zDS4UiVfX8EsBFLTzL1GYaB6rW+ajzT0EFPP0j/
UCm4eeGFyvw7H/TYvWsji/hcNROcfnxAD6ivH4qiogiCHKLiIRZbe518KIEu
WBi0XmHIkN4VACXe/cgMIMZte4ZkEl0sgGhIYeDZzHHI96Q3fzxsHH79yOhu
aDsDSm/y0HQyEPOFNeUx89EGVHmrLmHwNQ+25Dpot3yiDk4LjZi0yhIQQequ
5k4mMYyFpBtRJelGdEi6ERd96vzGn/0ogU+rkOz0LIw76aaUNUSGfVmpfzV9
vwBRsLNRbLQS0D2lY0yiIcUgV+5LlhFzClJz67f5sESAL7RXlqvvmoNDBb2s
O/wqUW4NLs7jEQGWEeY3cNzmYDivMF7QrhpFJgjxJTgRoCdt576LEvHgJ1nE
ET3vfSj7vfE2bp/Z1JCtycoMAiRWn+UaC6LIVsHt/axMVZtvwfJUgKxtbx41
/THUY1w/sF3XCk++2efxUyGHarlg5ysL+EmA9s8WPm8q8ZLSNpUBZJB0IxdI
uhGJ8b+6kc32DnsO0zgopJDtyEKc797cUTc9c9URLEgG1wKfEqj9pLf4RSEB
mboquapvVoGzD0K8RNo6oF5mxDn+MRy8PluEl941DNTdgnITnAfhhyfazm/t
Z+BvdxN1lcglEHH67HBc0CCU/h2pAyxnkBybvS/1AjV27X1az0RRBzyttGOP
8RQOue22lKCKY8a4CHW7cWwf4fIzo/lmAgH9Xh/XD7JgxcpJeo8Kkt5DiKT3
IBNvjU/YNVycO0Pi6Uql6N2IdWdhvcrdsfAIUma7NLut68iydZLw2AtmvpVd
r/t8BmW/i7m8FXcb6FA5H0AO/GOnujgffIMGUdEaZ88R636W8KzU8TAwxYUv
+xQyAj8NvO2+rzeFrp4/lXjwzhjQCQ9WWS7AQbZXggrG6Z3wkh451+8mWuyI
5ZvjDferYc2UunG5IwFlFPZOJxlSYjtIOo0ykk4DI+k05rPSUkpn7VG0bg0n
fotXqozyWhlzBbK1YjQENxxyvXv7pdkUMZ8FB3n97ngNzBQfdy8JSiE7lL+d
NxqnLvVqvroAwvDNxmLuXdBuQeDQkTAc0s///Yk36gs4d8Zh02ayCx3UlsTt
d8ehlviSiUK6PVh9qfx1FWscjIjeIcR+tBvKNu6RfMg6AoYvvStnOxuALHn9
cv229NXBc200ccrgvOtxMbzvGHTyLNLr/ziBTo35jnIFPgHcLnk0tznwsKps
4cv9ynYoMFt3sDC2C9wm6TSSSDoNHEmnMabynuaGVT90SHtUt2gzixLVvr7R
YloHM2emug0n6uCUzJLhzUNbe/c2L7PfroBzFfEGflxZMKhT3zIXR0Aq0tam
8+SrQPYf/YMJSf8wFa8i4JMxA0N1u9t9GAdhg+84JZnbMKh/tq40tD8LPa/B
nXtNrF/HldQifyaZAeUTLzNfrU3AuYSbvxwlx9Awxx/BJ+sJwDDWjAM/hod1
rzuV9d42QSoRT11TKQJgZCI8qKwqhMLVI/MJjQSUqm+sPHxpDmQyfhty0teB
QaoMwVt1sOG1FbnuFU+MNriau4xpFuVuKPz6UzyAGGiWLN9fC8P8cXPCBWHj
KPx9yKArMZ85ObwIeKlyA5M71vGmcLMKTc/I62e4E6A+VSt9V1cAuJ2tqqIh
cATh/qRu74OKf6S6/E37l0L6s1Ddjqcq6NHhseztOdrPu2ZQ8Q52Shuxm2Rd
QjNvBm22dBYNd1RjOL94YT09f4SecXWgG7a7PDmp8SjDzra0f/Mx9pPbUcDq
NB69TNtvMfuhDVL3tf0giDzFZNp3O++pbEbFSwdlx4vwUEVfV/TY6zLgTZdA
H/0rH+l48FKx9RHn3Jn52ZvjNuBU7Nuopyd2IKmJou37uPr17MH+FBaQGGIa
M5/yVmlt6W9/eJ65F6t/wAGqLAOWb9e0FbOQ9sQv5DWPcp3jBHMyG2btjWPF
K6F/cd1N6ofRzspswBB+ZZA/tFpcL9m+Hf+w4HMqxp0efNaLWXK4TIYU8nO3
46WfmT3JHlOAhYkokQgBR7SehN6Pb9WvqbA7w0c8sLMR7Dbd8uMouSjuYwzl
BCp9Ry4rw+aG4W90a4TyTKJAJl9tdroxqF8utzrG5IeN2O9aNwCF6HSSAZd/
MwHq3Da0G3n4GTylExZLpp+Ek+oXb/LvHYPIy/L4YTFJ7AidyfzywASay53Q
+Hx+DEbzyFKVyM8B+3UlLWOTCUh9fz3AoW8Mlr/TGjWOl8Vu/16l6JIsRwrn
tK85EPsQ8Xtv+cUvv8bsItwDnsni0RzlfOssTztMnDV0v0xXjcVVOJ39GFGF
5nvcTEPvE2D0tdjP0ax3MH9ezJNmmpg3o1jMPhdmQ8eYDE5TSRtsWOZqSegS
AXl12HLrK6RAR19WUFqmh8U857jMyfcDee1X4VRYnIGqUrtLN3QBdunNgcHE
sir0Kmog7a4nAUrtiY58218FChyEKVYLTiBtZs2tPSwoKrCe5Pf4DuDtojE9
5EyAz1Vp6ALMqhHf67yZPhkZLPheG13iLQKqzq9oDiWrQT11UxWlVxbAgULf
33K3CBA/WfnsBm0N0r9UUXSZTRHDuQhtLDgS+1TujHthHtUofOOEirCeGDbZ
IUGX4EWAJvzZb2+lViF/C1/jDxy7sSo9s3arYAJsT2wd5ntRieqUaje4mQWx
9v4drRcUhFGr/8I2vvF0n20NQ5M5YJM/+iHZJBY+U7qifo84n2rrtleehfHg
vHGnoPpDe+RktTC7tdepe/pMPO7LPYzxeE9FbDkOhVU8D2717kQ+FZY5cv0l
WIzpXaNaWzxq8ZfQGGxrhR8HQt3u9RliBzKcQ69vjqLWL8sTRcKTkHVoD177
cB1oO3P6rpRbH/oxZADjUmeRZCCHbF5iDpCWMnRBfLroJg+VzTbfXaE/Ds4q
AqVXMbaq94ZR4CkNttF906j1shrnu6fPgKlzuOjt5SHIl+CWc9J9Gqk1F71a
Si8BSZJdHDOax1CzDts2buYWd7lGXo8Z+P8/PJeVe2ZgEWaFpoflWha3cDkF
/t93jS5gnKb/N48mZkF7cFm1Be3SFOcQfI9HrrhA+5dn1bHrJF7sNokX4yXx
YkavWSwKaSdRvGCB5Ll9Y/CUuNeuwPtyWCOJF/tG4sXCSLxYWJ/MrtMafSha
oX+HXO4ssr0wEN7J0vE//mPyJP+xKhIvZu6RW9YzTkBMvlmpeNpcOOqi0fxR
IAX0/sOLcTH/5cVCZf6T//Lx/Mt//TfPpXXgP3mu/+azNCX+8lklJD5L+x/e
yo3EW519+J/8FOfqX35q/h8eSqb0P33JXi/8J980R+KV0km8kvXkX15JjcQf
2ZD4o5ck/siN882b+CktdELmPP/W5/6y1pPh8TqCKToGRe0NtEDzG/S0W8+X
Kf7j+ulQfkxLQnD0issnRFD5lX5tkIBYyK35mX0lMb8ochz9hSnk7lBoVhEx
gmwtKR/V3hPDHotWRu9bHUNGA8ktzicm4Jmkx6V61/HAt4yMvoR4H5TCGOJf
Eu+HZ2hT+t3NZ+CBSMzJm/dn0Vqo4EDR3n440st/RtjzIWh3NDlg4IxDNqfe
BBqtdkHHSYYfr8bKgP3pkI4J6TMoSUjFbOue7rGgHP+TTw+kOrkWFnZOFlOv
L27n89gXdAL8tDtA8GRQcrSVCipXx3K34qyuXlxWuE2FNVafps/+KlB3XDFn
W0cdcD7OgJ4N9LZxt/kE66LyQqbLW/drIQhTuRPLjtmL2igdPYcQXfIn6wdl
BHQbcFNcl2HGfDbHdmUT67oKNkbmWFYI1xyTVCXwuzFcIQqlfjuK6H02hnXv
TCJV4Xo7ybVxMFookjLPk4BwhsnNP1YJkNzRyibugx9Iv6ToSIndRKvjQ/Tb
PKb4GN3khihIrU0LfWU2AbNrvsotdI1BXib20rHrNaCN9XZK1D4VdJS98NPW
e2wZPkrjNMmAyTeQv2vRNkSrJ5983KrjkjYP/0iyUmCzRw5enLSLRh2c6Rs9
xO/5L8XgNp0pGoxfk61+TqQE8XulrfsVExDcXFWbrVoHhWP7z4tc6kGyG2Fv
n4rhkEoLzaNKIXIsZr93IZ6TgK47+grUSjbAJ9Vux145/AQjEWI/PtaNI1Vq
VztZx3H4ZpTfZ373INBVofTU0s9Ft0NvzfMQ719PFP+t6+S+IFHM1axeqhot
CumesHMlQIobG4+HJT0A+9GPPRUe6lAnS8B5673Qd1gPLbpcADEFq0ZpdgSo
8XMhY4idWBd0LKfabzYB67am3N1OBFSYYptz360aHY28/VinQhyL4c3k2pNc
BUUkax/VEOvA3Z4vHYFeRUBXOEFZ09gMtWVMnNnSjRslZ3lXTR8G2gKuor9X
cqD0vPcVygkCDPC8vbTQYwwUijIiZY43wOADhGEb4nPfCM+woP2TCTTOU3+f
t9JEo6aHVLfOf2ejM++x2zuwPZd1tdz036Ab++1OaK0REGjJvBB+egUkOzuT
/RGZRKsVL94tr4+ib0bt9UYSS8DCMWhq9wQByaZoyAou5qCLt9YNyodbgBNn
XHvKwgyK5L8yKSzwAzqqtppIPUsA3xzKfgyo/UAZwmcUbszMoHkdf+bg/Fcg
mv7S8nzDNAq/oobf6zaE3qSFpJwSiwdDn4RUGnmlEe+nezNbfydhFy8L1Xle
cDIazIp/3w33zbFs47eV1wbpD1PsBlr/4KI7sv/ioj5ndCsSrKnQxFXf7fsV
1p++w6BpQoGWT+TU19MLxdWZI3/3FMQin2YvjitsGB0Yl86rLr5392//ppNy
0MUhd1yhJ0EeNCn/VvppNL4d9/6U7z53YEJBoFL36PkSZkg5VrGNU1FsNnCZ
FU8pUL68v0vzewhckJn+JEWMp39Z/0xVqgx+S+4Rbs9ohOnmFgrCZATYvBD8
9bNHEvjyUcG9MWgcyn2WsdXPH4clP+RvUI1aYJl7wzCNi7NwLYBOvONbP2LW
0/3BNfX4/92LfBdn4nbLoQc9K00OYBLCwb76R2GLenbYGIfmTXe/XFTl+U0x
dYwA7603hTjrvQMVlz68flIdhpoor/eXbxDvtfEDdec4bfBhQN+K05QH1kSx
bJ/niTH/D6pHRcGg4izvNXdmeORBw/bzjipw70m4JgV86YclKelWlURf/O1X
cyY+hIz4SwMn72BMl2mkWOPi37nV4DXttDzXEXCiY/EO9a9dyDrF/m+f/E5W
nV76ILgqZWne1cOJLmFR25/bvk/59VK+APD5BxeNJuGi3WYKyeLDhvDhZOOz
rXhDl3hwFw4Ag/zNnNxf+bC/9nc6K7Fvv7i/0rBzRyKouVNiXMz+EU6qFGo1
EYjz8sUquUedCeD674S+C8EDsEtglYmPbxY+pbRkP8uvhzm5ixbsHOuAoRfe
l4wPEec7EY+MOFU9bKj7ZrmTFvH3Kc9aTUZ8g+8tsygtJyIw3Uv4D/U0k9Bu
cB0Z8Y3BAhcZmzsuj/4XLqpNwkWvMZ9g5B4Yg77H0+iajCbg5xC6gdgXNJi3
Oc/hRY0xeF5V9PmxkQnYlfmq+k/YHsytQ+hitkALvFAtecXkIx5ighiH2k9K
7NSrPoM1JxGUS7Nvuw9k0SNcaqU+C0rvTcmPtSdDXTKf5UfLBEiWTL7v6/kk
EH6iWnp4bxdccq3T0E3CwZc5zL21BdJYcIP07DF5HJS2rhqyZO2BOiXCenWB
nljKP7joAdIeInZbIJQ7xxH5exsfH9vC8dqyhxS67cH+JcXretkdkCObMejp
DA5JF+M6fWR4sWqmfLvAok7ErRw69Cgfh5LaRI837hsE4hoqyp3Eub7E8rME
A3Gu98yovaCWIoL98tt/y2CxC9ZWZ0kdccEhA8eduXhONuyb0q4qAbZuWFHf
ENJvj0M9/GsHwueXQEQ9T2zUQBfcGOFXlLuHQ59nYlm+bzJgVoPBE5ne7jDh
UBxX2xZv9TDc2s86DHRnmBXrryXAE1IaaibEutbYZHVVPi8FMJBw0YckXJSP
hIvSygzkXjdvg7tbXgmZ6OHhq9Qde2jucGGnFvuqr2MEqMLq5VpT/x2taRQG
n9xlgdltXvSzTZmAfZGuqucfjyGhlZBd9FX6mMg/uGgzCRdtmeB82ZFjDFl7
yx5vzftvv7I1JHQeAuGvCXWGHm2w8F2c1UFtPHJ/lWksea4DhHGyqmvUtECG
Y/hi9Wg8fK6sTN9u1Q4kHMpl8x62QgWGIn8VNzxcGdB1XqfZBObPOqdEjgzD
dkXabhudaZT40WlKTB5i4SRcVICEizqScNGj3KC2Ov8LQv5Jz590EOCNUVMD
3hNPwO8d45pmO4eRIYdweMudaRh1Wax8tD8C5NDE3eT2HYZvRGObSrmnocb7
DEu8eCnonu3inX3vi67jTTpTt/Dzhms7ZzBdIBt0uxY8LYINMp96ZWoJ6GSq
vaHyCQuwb+Upc8fuYLiv9oCiPvHnD7Ff72gvvAgiaj1qik9NQg12l0TZ7lE0
c7Oh8/v9GSDO3Tbzsa8DOso7PfYawUGBDSy1cXgOUGT1HHovNwCflLF9S5ed
RRNJC1hQ6d7/tU9nRMJFh2l1xEH8IOKp+dBSZDgDhTJiSo+lUGAP2C4NNhnU
oDYaFytPawLa/yDJ6UxfPYhzm2UNLchAIuy+zYd/EWD+pDOlhuRdoOVebptS
WoniE/78+R5IgH+093KlnjUHx6RE0iytqhFLQnVMjxMBHs9ZwHkfige9a28I
J7wYoRkd9XY+dHHcVJOLZQI8vpe+11MzI5O2/u18m3GlDZqZ0oGEzmXbW7el
kRMsm97WyVeZxja07ACvi+WS36eqQcdDX4K34h7VK+emlcnBj39wUXkSLtp7
Fa9yMuIFpNbu12z8Q4Bfxjk2srzsgTnTnhIz3i/wASdPuEcXca4NuaxLkVsC
DvtQTFMGfYXMSJN3vo6Apn6dFl/9VQL0Dy49XmDthllRzkvj9jiYdSS6/Vnk
LMiyWRY9ADqhvuBJ05PNOFgXYDdy5/AsMFvTFYtM64G6mSIh1Bw4FG9Le8ec
kxFj/epskX6jA+IU1WJfruDQA7sWqrxmqv/BRStJuKhOydFtXPSYR5DtXqN8
9Dp3urelnwBrz8fy7or/DdRL6g81rx5Grr2/t3kiSdEypoIiQcBZcS+YXFUV
vTDTid3mMW9xIaNJBnDTjr9XVfg9dGaTtHT/TYBnz0VVeFY5AJ86TR0fkQqY
ePSqa08sASXkPJhRxX0FXAl+vGr9HfBQop6c+ciWL0pUhta7cdBWGsiQmt8C
Qf19gbZYPLJrmJGQXN6ByZFw0TckXPQZCRfdn5cTa+WQjMiFStYaifnZu5D/
mMl+L/Bk6d1qbMc0quv6I3XFbgh68j/8KMbyCriYWFnNgxbUOBIS6p6ORwyG
DNOXfgUA/bzSixGuXVDgLY+0PzF/qhfD+z+jvwDDFKkYD3wXavdPW+5xxSFU
phCXR7sHazbQ9f50FQ+LL+kIWwu1IaoFq49PMkeA2MMn8UWxYxA5PlxmeTEB
A+Y7xtY0+wDFWyFLc68yuPmIw5sujQDZcz7oZI7agwIDC/LYin5IYa5Ph9eZ
Ra+z3B8mtOYB239wUX8SLrrxlbzsfPIY3FzmyHQJm4Acf6Yc5XMGAZ1vDzYi
2wBPx76aeUrsV0+MUCf2ka+Aby5mUnbm1dDyuWmigDNxfifjDMk+Mw/+7PpP
XJSdhIsa733j6MiPh8O3WlNMItrhJN3PrD3so6BnJdShtDcN3f5h4veZ+H4f
zbwyOrdCnJezI7y67/XDXTTyd9OuzyKR6omGMslIwPZAIWV9cRrODjGKs4Ih
eFLi0Lfvx3sAn3LNYoxYLaTM+MZ9wJSABGKXWGKezQGa06kbRY668Bv1Y+Ot
+SstpNe8Vvw+dqL+tbloOgGJPyy3FFQtQ9+v7f7sQv0EM6j+fib43SBq4M3S
6tWegVONQ9e4m/Sxi41TKlGZZSjvuJKqYiqxH9v5R+y5uA9Yu+RofRNKIlqd
4m0/K/rEvl2mxT8VZOCKm3bsWSj6LODoVh35qbnQPtjoi9VfKPgoH2OAKmk1
t/0BPkscKtmj5I1JvfVz1Uoizn3W95p4uMqRbco07VPLcEyop/+aIPkguqV6
u0wpbwZqc3w9+4DpFsZhYRhAy16BTs5J6Yc8J96jYJSLP5AGBEP77mUsJ6KV
YJWl8hUC3JcbfpmxzABYnxCyd/EYKS5n/tvvNdu5bxwyZwF1dA5P2paalUSK
/uKfzVewj8NuHKDLMWNJTbyleCTvbzzhafeZIg1OEP2AUtGJfqy4mXXlr87w
d9fup0psQAtYuucyrBQLVHb9xT9VH3oAT3pgdUH5m3vRZjEZTenf/8dh9eR+
4EsKIKBCU+yR+Qn9PBiQXvmDADtuOnTS3PuCfck9Lj2kSMzjIVpMYjnfkcBE
VFT+kjcWL9sWWsDfg3SlMr8qyuFg/BGldeVma+zXUtzBA4HpiMx2/KjaPDFP
ZnNL2Im+AzNM9sVGbJPwq/cPj4usY9AsN+1OLY8kRvnCQZf8xwTSeHOrNuM8
MU7htrdcfg408X87d9lkAnpYny1w7BuDV7ssrMziZbHUl1r01WYVyLfcWtI9
mgDVBbpl8UGvMXG1/OaO43iUI7s/B9C0w96lhvCTZNWYspWUzdQWnuObyr2T
/C4MD+g/Bl+ZYkVJdsc8OwgoRPZ8p2jRFyQfm735iPcadvHs8KMnaj1IurI2
bvUwDmbqw7faP49iKWO5fNHKPShL68Q7Tkkc5BNhz7BfPIrdVugSkN/7HpnQ
c7L6Eu/LGjX5/qHL70ElV0aOxxninP8ezdgMfINJp17ScHPLYPICyQvEpgal
BYY2s2nXI44qhim6WFVsfYP3cMwgHjLuZfMrrm9CfLuFgnOOX8NS7ZfsAm4R
YCo7lJncWYPSnYbvnroth7GUzufTE+ti3yeknUaci/P22qTcsBLEXGGz2Fvi
PJwnWUvFmlqFwvR7N1Q52bGBt3u0OQYI8JYjoS1fNR/uPJxyD3dSEGvlMq3N
oxdDjozS2/uJZ9gdslRDzcHo3pbIQPtEWOfh2s9B7Pf6+zj0ryUng13q7xd3
9U6hlL5G+oKeYeSxum7Mn12OXbweXC48MYNEjMJj6PV+IJbqDp0ivzjMuO1y
jbjsAGKjI9xilZuFasd2xGvbYxhV4Kpnmu4IWqMnazH2noJK1tx1JvElQKjz
/Qqj/ltUErZmd3SZgGID9ROHF++D4/i0aeoVHcRjtsdhK29k8daekzsnB5be
cf3o8BhGX/pDnh/hm0aizOZR0QHPAA8mlJC+PATrFWdWuNynkcEhGvKs9BLw
M5d5mOapHCJ/e2Qbl7vbnNWXcYMZZPzjl6hB8kt0m05iDPBxQRnWd136ifGu
7nM8V0Q0MQWSj2IRyUfxAMlHkbK6bqAyuQehpODn+zlxyHFRjQJHfN7/119x
dnCzI2cQZYlz+oVqzsB1fz2uixmCmCHJd/EKyXdRm+S76HXBtuYa8XyPfkBk
DMTzTpFQYS/SaARBJD/GUZIfoybJj/GKLcfAJ+Lf7ftF/qYTtw8SC22Mr85J
BrEc/+nT6DX516cxleTTSEvyaXQk+TT2zT3a9mnkJ/k0LpJ8GidIPo2tJJ/G
pySfxqV/fBp9ST6NA//4NBqRfBp7ST6N+iSfxn0kn8Yokk8jHcmnMZzk07j+
j08jQeL/9mn0Ivk0Erza51KtbqFrMkcf/9zSG9jXvZC9JYVVXNy4WvnSEtHk
zWVv+Vo8m8mq6TLhx+Zj+t71Hu5E4FPEne5WHHrDl2C+lr0fS6Z7oJR5exCR
XTg00eQ4A8ui93R2dFFj/l9LyRckm9FQKb87cyseVYzV0SU/rwcf8qYyd+8h
oDKZPjKqqw2w/CCVmzVXGMhJvdAsTYlDu1smWQeXeuBJUVVJaoEc8KWH8wfP
2xGUJxL0uUVlClLY3N3FL/0FMC2aK1+1Uka65tlft/dAQ2eqFN1ogNS0e/Jr
MwFU+Fh9Wx8ViHnQ4XaRgXoeVp3IaIhoyV6VbsWr1VgZeYR2Ajr1ezqPPG9B
9SYdN+I5QD8Cb+RTRwFAEzGrwdloju4WjLhu4cNJCfPvE/eyYQp93zXyghoR
ZUvetTs7CejTNbh7LYYG4/1kb6D5YRSd8fupamgzCc/z5sk1Jy2ByHHvJUb7
emTIRXbzphAB9QyKRPaU1IPqIaWWR5vhqKxAgyZ6gwCnMpz5JDUdgK9QFd0J
KzN08Muvk1t4ndz5HP5E+wNA2IPZxtdsAsLeXVZs3WPwU9ymI/uNGjDVXZlw
uN4UXeDsjNrC7ddf7PVTbKXFVk8fOXOWywRV2DI6b32v6qLjzjEa78QCJJ8F
ZDbVoiIKdcE0A+L3/HebopEfGcZe8xjj/l2O+MTq+HriCIjs8PegyPlV8Mea
K7Xp7CR6a7R8ZH/LKFTM3TTcaJoDreQ9Mdc7cOgWWLXK4++Eyw6wtqFyFoyu
m934ydaJ6nvCYzO6cIhlzmd4kKwWlC7gifU6GTlrP/q8QexX1w4oXA5edAQK
dy9Z3DxajfS6bt8750qca/bvp91l5gEOHngc3/oEB6W/Jok88++CZquMdI3z
DeCb9iDj7FQ1HL5if638NgHtttnbfk29CfP/UPr8/hU80n+Cl65QbIP+dP6M
fHUHsSmp924GCVXQOapw7ySxDry/eCN8ybUITB3/GulZYI5yXVceEN8vvCnd
rnaCRRycfKAdecaiAILnGqLGbQSYfblAZlHJHoR/+HMl4k4zxCpKv+bW4pFG
+PH7/qufgV6RAW/Qiyto7ngc5Va/5DYZIZx+fQPYYMmdwn1F6InZ4in2GgJS
Iyu1zI+ZBwXNqhUUPATU3XZ0SZuhAepOvhto1Z0A8sMm+34fGEMrfiYmSuST
yCb7R3OsWAnYV8nr9vlUGWp+2BzClE6AHByWItMz3mD2QeBJ+ZxJ5DCTQYkZ
jiIWBQqMUe01uCq13P7AYhQ5HoC+U+8mEXx7YXZ0JgpkiZ0T7TI+jLysA7b9
E8iPCkjSOnGDlfF58HNNANKf/rXt61ssVr3fepEZ/BcYfLZM
    "]],
  Axes->True,
  BoxRatios->{1, 1, 0.4},
  ImageSize->{360., 262.27713832694536`},
  Method->{"RotationControl" -> "Globe"},
  PlotRange->{All, All, All},
  PlotRangePadding->{Automatic, Automatic, Automatic},
  ViewPoint->{2.1491248020917535`, -2.117032254415456, 1.5327873364556128`},
  ViewVertical->{0., 0., 1.}]], "Output",
 CellChangeTimes->{{3.406765675863799*^9, 3.406765686746913*^9}, 
   3.406765720280673*^9, 3.407312947506917*^9, 3.4073130489365788`*^9, 
   3.407313175541992*^9, 3.407313380393078*^9, 3.407315084108781*^9, 
   3.407315142183584*^9, 3.4073163157572927`*^9, 3.407316380529451*^9, 
   3.4073164440393763`*^9, 3.407316490406719*^9, 3.408743219472472*^9, 
   3.408744633940255*^9}],

Cell[BoxData[
 TagBox[
  StyleBox[
   DynamicModuleBox[{$CellContext`t$$ = 2, $CellContext`x$$ = 4, 
    Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, 
    Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 
    1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{
      Hold[$CellContext`x$$], 1, 4, 1}, {
      Hold[$CellContext`t$$], 1, 2, 1}}, Typeset`size$$ = {
    360., {132., 137.}}, Typeset`update$$ = 0, Typeset`initDone$$, 
    Typeset`skipInitDone$$ = True, $CellContext`x$1676$$ = 
    0, $CellContext`t$1677$$ = 0}, 
    DynamicBox[Manipulate`ManipulateBoxes[
     1, StandardForm, 
      "Variables" :> {$CellContext`t$$ = 1, $CellContext`x$$ = 1}, 
      "ControllerVariables" :> {
        Hold[$CellContext`x$$, $CellContext`x$1676$$, 0], 
        Hold[$CellContext`t$$, $CellContext`t$1677$$, 0]}, 
      "OtherVariables" :> {
       Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, 
        Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, 
        Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$,
         Typeset`skipInitDone$$}, "Body" :> ListPlot3D[
        Table[
         Part[$CellContext`atomsr3, $CellContext`t$$, $CellContext`x$$, \
$CellContext`i, $CellContext`j], {$CellContext`i, 1, 
          Length[$CellContext`y3]}, {$CellContext`j, 1, 
          Length[$CellContext`z3]}], PlotRange -> All], 
      "Specifications" :> {{$CellContext`x$$, 1, 4, 1}, {$CellContext`t$$, 1, 
         2, 1}}, "Options" :> {}, "DefaultOptions" :> {}],
     ImageSizeCache->{402., {189.375, 194.625}},
     SingleEvaluation->True],
    Deinitialization:>None,
    DynamicModuleValues:>{},
    SynchronousInitialization->True,
    UnsavedVariables:>{Typeset`initDone$$},
    UntrackedVariables:>{Typeset`size$$}], "Manipulate",
   Deployed->True,
   StripOnInput->False],
  Manipulate`InterpretManipulate[1]]], "Output",
 CellChangeTimes->{{3.406765675863799*^9, 3.406765686746913*^9}, 
   3.406765720280673*^9, 3.407312947506917*^9, 3.4073130489365788`*^9, 
   3.407313175541992*^9, 3.407313380393078*^9, 3.407315084108781*^9, 
   3.407315142183584*^9, 3.4073163157572927`*^9, 3.407316380529451*^9, 
   3.4073164440393763`*^9, 3.407316490406719*^9, 3.408743219472472*^9, 
   3.408744634105131*^9}]
}, Open  ]],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Manipulate", "[", 
  RowBox[{
   RowBox[{"ListPlot3D", "[", 
    RowBox[{
     RowBox[{"Table", "[", 
      RowBox[{
       RowBox[{"moleculesr3", "[", 
        RowBox[{"[", 
         RowBox[{"t", ",", "x", ",", "i", ",", "j"}], "]"}], "]"}], ",", 
       RowBox[{"{", 
        RowBox[{"i", ",", "1", ",", 
         RowBox[{"Length", "[", "y3", "]"}]}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"j", ",", "1", ",", 
         RowBox[{"Length", "[", "z3", "]"}]}], "}"}]}], "]"}], ",", 
     RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", "1", ",", 
     RowBox[{"Length", "[", "x3", "]"}], ",", "1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"t", ",", "1", ",", 
     RowBox[{"Length", "[", "t3", "]"}], ",", "1"}], "}"}]}], "]"}]], "Input",\

 CellChangeTimes->{{3.4067657617113113`*^9, 3.4067657659534473`*^9}, {
  3.407312993921043*^9, 3.407313014398695*^9}, {3.407313194375691*^9, 
  3.407313231564951*^9}, {3.407316328991769*^9, 3.407316331456567*^9}}],

Cell[BoxData[
 TagBox[
  StyleBox[
   DynamicModuleBox[{$CellContext`t$$ = 2, $CellContext`x$$ = 4, 
    Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, 
    Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 
    1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{
      Hold[$CellContext`x$$], 1, 4, 1}, {
      Hold[$CellContext`t$$], 1, 2, 1}}, Typeset`size$$ = {
    360., {132., 137.}}, Typeset`update$$ = 0, Typeset`initDone$$, 
    Typeset`skipInitDone$$ = True, $CellContext`x$1765$$ = 
    0, $CellContext`t$1766$$ = 0}, 
    DynamicBox[Manipulate`ManipulateBoxes[
     1, StandardForm, 
      "Variables" :> {$CellContext`t$$ = 1, $CellContext`x$$ = 1}, 
      "ControllerVariables" :> {
        Hold[$CellContext`x$$, $CellContext`x$1765$$, 0], 
        Hold[$CellContext`t$$, $CellContext`t$1766$$, 0]}, 
      "OtherVariables" :> {
       Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, 
        Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, 
        Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$,
         Typeset`skipInitDone$$}, "Body" :> ListPlot3D[
        Table[
         Part[$CellContext`moleculesr3, $CellContext`t$$, $CellContext`x$$, \
$CellContext`i, $CellContext`j], {$CellContext`i, 1, 
          Length[$CellContext`y3]}, {$CellContext`j, 1, 
          Length[$CellContext`z3]}], PlotRange -> All], 
      "Specifications" :> {{$CellContext`x$$, 1, 4, 1}, {$CellContext`t$$, 1, 
         2, 1}}, "Options" :> {}, "DefaultOptions" :> {}],
     ImageSizeCache->{402., {189.375, 194.625}},
     SingleEvaluation->True],
    Deinitialization:>None,
    DynamicModuleValues:>{},
    SynchronousInitialization->True,
    UnsavedVariables:>{Typeset`initDone$$},
    UntrackedVariables:>{Typeset`size$$}], "Manipulate",
   Deployed->True,
   StripOnInput->False],
  Manipulate`InterpretManipulate[1]]], "Output",
 CellChangeTimes->{3.40676576688666*^9, 3.4073130157133293`*^9, 
  3.40731323290305*^9, 3.407315095681476*^9, 3.407316332751369*^9, 
  3.408744698917877*^9}]
}, Open  ]]
},
WindowSize->{811, 1074},
WindowMargins->{{4, Automatic}, {Automatic, 4}},
FrontEndVersion->"6.0 for Mac OS X x86 (32-bit) (June 19, 2007)",
StyleDefinitions->"Default.nb"
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[568, 21, 431, 11, 116, "Text"],
Cell[CellGroupData[{
Cell[1024, 36, 1980, 53, 133, "Input"],
Cell[3007, 91, 75893, 1230, 277, "Output"],
Cell[78903, 1323, 2287, 45, 402, "Output"]
}, Open  ]],
Cell[CellGroupData[{
Cell[81227, 1373, 1039, 26, 43, "Input"],
Cell[82269, 1401, 2071, 42, 402, "Output"]
}, Open  ]]
}
]
*)

(* End of internal cache information *)