summaryrefslogtreecommitdiffstats
path: root/tests/imgPNG.test
blob: 0757411e2c7ec7c60fa26bdca8664cba5949f7ff (plain)
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
# This file is a Tcl script to test out the code in tkImgFmtPNG.c, which reads
# and write PNG-format image files for photo widgets. The files is organized
# in the standard fashion for Tcl tests.
#
# Copyright (c) 1994-1997 Sun Microsystems, Inc.
# Copyright (c) 1998-1999 by Scriptics Corporation.
# Copyright (c) 1998 Willem van Schaik (images only)
# Copyright (c) 2008 Donal K. Fellows
# All rights reserved.

package require tcltest 2.2
namespace import ::tcltest::*
eval tcltest::configure $argv
tcltest::loadTestedCommands
imageInit

namespace eval png {
    variable encoded
    # Key names are from the names of the source images, which come from
    #    http://www.schaik.com/pngsuite/pngsuite.html
    # The exception is "BadX", which is used to test handling badly compressed
    # images.
    array set encoded {
	basn0g08 "iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAAAAABWESUoAAAABGdBTUEAAYag
MeiWXwAAAEFJREFUeJxjZGAkABQIyLMMBQWMDwgp+PcfP2B5MBwUMMoRkGdkonlcDAYFjI/wyv7/z/
iH5nExGBQwyuCVZWQEAFDl/nE14thZAAAAAElFTkSuQmCC"
	basn2c08 "iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAIAAAD8GO2jAAAABGdBTUEAAYag
MeiWXwAAAEhJREFUeJzt1cEJADAMAkCF7JH9t3ITO0Qr9KH4zuErtA0EO4AKFPgcoO3kfUx4QIECD0
qHH8KEBxQo8KB0OCOpQIG7cHejwAGCsfleD0DPSwAAAABJRU5ErkJggg=="
	basn3p08 "iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAMAAABEpIrGAAAABGdBTUEAAYag
MeiWXwAAAwBQTFRFIkQA9f/td/93y///EQoAOncAIiL//xH/EQAAIiIA/6xVZv9m/2Zm/wH/IhIA3P
//zP+ZRET/AFVVIgAAy8v/REQAVf9Vy8sAMxoA/+zc7f//5P/L/9zcRP9EZmb/MwAARCIA7e3/ZmYA
/6RE//+q7e0AAMvL/v///f/+//8BM/8zVSoAAQH/iIj/AKqqAQEARAAAiIgA/+TLulsAIv8iZjIA//
+Zqqr/VQAAqqoAy2MAEf8R1P+qdzoA/0RE3GsAZgAAAf8BiEIA7P/ca9wA/9y6ADMzAO0A7XMA//+I
mUoAEf//dwAA/4MB/7q6/nsA//7/AMsA/5mZIv//iAAA//93AIiI/9z/GjMAAACqM///AJkAmQAAAA
ABMmYA/7r/RP///6r/AHcAAP7+qgAASpkA//9m/yIiAACZi/8RVf///wEB/4j/AFUAABER///+//3+
pP9EZv///2b/ADMA//9V/3d3AACI/0T/ABEAd///AGZm///tAAEA//XtERH///9E/yL//+3tEREAiP
//AAB3k/8iANzcMzP//gD+urr/mf//MzMAY8sAuroArP9V///c//8ze/4A7QDtVVX/qv//3Nz/VVUA
AABm3NwA3ADcg/8Bd3f//v7////L/1VVd3cA/v4AywDLAAD+AQIAAQAAEiIA//8iAEREm/8z/9SqAA
BVmZn/mZkAugC6KlUA/8vLtP9m/5sz//+6qgCqQogAU6oA/6qqAADtALq6//8RAP4AAABEAJmZmQCZ
/8yZugAAiACIANwA/5MiAADc/v/+qlMAdwB3AgEAywAAAAAz/+3/ALoA/zMz7f/t/8SIvP93AKoAZg
BmACIi3AAA/8v/3P/c/4sRAADLAAEBVQBVAIgAAAAiAf//y//L7QAA/4iIRABEW7oA/7x3/5n/AGYA
uv+6AHd3c+0A/gAAMwAzAAC6/3f/AEQAqv+q//7+AAARIgAixP+IAO3tmf+Z/1X/ACIA/7RmEQARCh
EA/xER3P+6uv//iP+IAQAB/zP/uY7TYgAAAbFJREFUeJwNwQcACAQQAMBHqIxIZCs7Mwlla1hlZ+8V
itCw9yoqNGiYDatsyt6jjIadlVkysve+u5jC9xTmV/qyl6bcJR7kAQZzg568xXmuE2lIyUNM5So7OM
AFIhvp+YgGvEtFNnOKeJonSEvwP9NZzhHiOfLzBXPoxKP8yD6iPMXITjP+oTdfsp14lTJMJjGtOMFQ
fiFe4wWK8BP7qUd31hBNqMos2tKYFbRnJdGGjTzPz2yjEA1ZSKymKCM5ylaWcJrZxCZK8jgfU4vc/M
W3xE7K8RUvsZb3Wc/XxCEqk4v/qMQlFvMZcZIafMOnLKM13zGceJNqPMU4KnCQAqQgbrKHpXSgFK/Q
n6REO9YxjWE8Sx2SMJD4jfl8wgzy0YgPuEeUJQcD6EoWWpCaHsQkHuY9RpGON/icK0RyrvE680jG22
TlHaIbx6jLnySkF+M5QxzmD6pwkTsMoSAdidqsojipuMyHzOQ4sYgfyElpzjKGErQkqvMyC7jFv9xm
BM2JuTzDRDLxN4l4jF1EZjIwmhfZzSOMpT4xiH70IQG/k5En2UKcowudycsG8jCBmtwHgRv+EIeWyO
AAAAAASUVORK5CYII="
	basn6a08 "iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABGdBTUEAAYag
MeiWXwAAAG9JREFUeJzt1jEKgDAMRuEnZGhPofc/VQSPIcTdxUV4HVLoUCj8H00o2YoBMF57fpz/uj
ODHXUFRwPKBqj5DVigB041HiJ9gFyCVOMbsEIPXNwuAHkgiJL/4qABNqB7QAeUPBAE2QAZUDZAfwEb
8ABSIBqcFg+4TAAAAABJRU5ErkJggg=="

	BadX "iVBORw0KGgoAAAANSUhEUgAAAAUAAAAFCAYAAACNbyblAAAABHNCSVQICAgIfAhk
iAAAABN0RVh0U29mdHdhcmUAVGsgOC42YjEuMcrtT1oAAAAcSURBVHicYmBgYPjPgAr+ozP+o0uj68
BUiWEmAAAA//8SozfjAAAAAElFTkSuQmCC"
	MultiIDAT "iVBORw0KGgoAAAANSUhEUgAAAN8AAADUCAYAAAAcPvbvAAAAAXNSR0IArs4
c6QAAAAZiS0dEAP8A/wD/oL2nkwAAAAlwSFlzAAALEwAACxMBAJqcGAAAAAd0SU1FB9oEGQQKMpLRO
uoAACAASURBVHja7L158GbZWd/3ec45977bb+2e7p7pnu7ZNzFaRhJCwggjsHqUCgUhiWMSJymwUoV
UlkumJChCHFWBywQQNqhYpFDB2Ljs2EWqiAmphMQVO2ATQMJCQsuMZrp7lt5++7ve9957lid/3Ptbu
tWjGRAgZvo9XW//3vXe973nfM/zPN9nE1VlMf58RwHkgFMgJhDAQg0EAJQ+FuYekgVrCBope5YK6F3
8Vw9UCdbvOnuBwbH2aDnBKy7rtkcA357PYHC0B0/t2xfjaz7M4hJ8jS+6fPnriqKqxLqG1IDTGINpP
9vtds8bY85j5ABoYBAxX3ly5dbnW4wF+G7PoTcDpvnnYyDEeACYJOlgsozN3xMS71Fx7RQaFIOIbY6
n5iaMpQX4/gIOt7gEf/7jyzFgQMFIAxODQSShmYXcgICmRr5F9dlwPH3XaFJw3LgMjFcsgiDtcZAG1
HIEsArIAnwLybcA30urnQcPjSHr5GBNK7kSgpLq6h0XLz63fP36xjKYd4AlYUgYdF/t1MPJlVtJv8V
YgO92vujmFmJQblAUFbWmfXPCZQaH4mezJ5/+wtM8//yLBJ+ePFQ7pQGdtjhTGkl49LiSFuBbgG8h+
V5OJU0CAQVJJBQxIBqY7uw8+fyFS2xcvkooqycPxBzSqJU3MjcHE5yOAnAxFjbf7bzjyVG06Y07YWy
ghEps3AUaMJpB7U8Ue8MnptvbpKSkyj9BTCewbMm+TccR6WdvBLoutM6F5FtIvpvuHFE7DaAaMRiCJ
hKxnSUlFMW7r1+8ZIrNberhmPHWhsHIu20r16K2yE2HgL55khd+3QX4FuMWNh8KouDUoijG2saWA9B
EPR6f37t8Fb+zTbW1wdVnn0GHu+eJFYaAMa0uc8MxzWKiF2rnYtys/+nNkjA1Dw4kIAaIiCYAmW3vv
Pv6xUuc7uY4Z5ltXENC9W6siKKaNEEAK6ZVZxVEDjRbARC7uP4LybcY6WYNsbXVGuDpwStiFIJ//Wh
r+/Tw6nXcdEI2m7B96Vn8aPc0qX49VIjEBls36pmAaX2A5gZ1dDEW4LvtheCNd1ppqPsATc39afHke
GsLijlrKXDMKDoZUY92INZPQiASUEmo6OEBAJI2t1ucZzEW4Lttgbcv/W54UsEeqIsREWE2Gp7fvbZ
BR4S7Bl1ODnosWaXY2wZfnBcCSiRoA8B9cuWQYJEF8BbgW4yviMZDbbMJsEYRUm+8s/fOzWtX6RmHK
Ut0NiVMp1x5/iJpMn4n0LMI1jQ2nR7x56nqIfAWbr4F+BbjKxuDgrR2HwDvms7GnclwhBXDXXcc5/j
qEsu9LnVRoMF3IL1LSXitSC3CVF5Kx12MBfhu0xGlSa2LBKDCUIH4AxdBSFABdcrpsgTT4jxXL3C3v
8bXZZsMj09YX4k8sLfLGy9sYj//AuxMzqc4oxTLmEQtYKRJMxIR1OjNwZ6LsQDf7TteCge29QZYAxC
Z7e6cH+/tYpLSzRyDwQDnGi9RWZawuwfz+Xln7a1z+F7JSRdjAb7b5aLv+/LM/hTI4ZNiGxUxA/D1u
d3rVx/b29zAxJqBc2TWISJ0Oh2cs1DMoJw/ZpKegxpzk355g/q5AN8CfLe7xDMcDURpH7VPqECMYAH
q8vxo8zrz4R5dha4xTQRM5ED61eMRTKcQ03nRwIGr70gcm+4ffzEW4Luth+4D0HBDzvlB1nozMY5Em
k+fjJMxnbqmbw0dlH7Ww4khxkgxn7K7s0Xc3QEfnlyRDHcTpalH/y4AuADf7Q6+fQA2twaKKg0Zo4C
zQArWj4bfJtMZfWDZGnoiZGJxJsN1crLMYjWRiikUs2+DZDNNByFl+ypnkhuBuBgL8C2YliM1WBJNU
kIEnCSopm8rtjfXw2iPzNd0ETpJMcmRuR5Z3qXb79HJLTIvYTRap6ze5lLCHg1wOfJ34eZbgG8x4KD
Y0X7mwWEiekSIUM7P+71dwniErSqcD1iUvhuQGUeISlGW1MWMajyC8QSinicq0sIs3ax7LsYCfLf3a
GWQ3giK/SBrQUE9Ops+GcZj0nRGR5WOs0iM+DJRFDVBlYQS64o4HsHuLoTwZBNMLU1qX2qSbJsSobr
A4AJ8t7vamb7M/jsqnCwKKa2HWfE2PxqSh0DXGHKxZFlGbvt08iUkyxFrsMYQZwVxcwf2Rm+j9uu0M
Z37Np+9UQ4uxgJ8ty/f8mUA5KbEdu+/rdjdttPtHZxP9GyGMYYsy8ntgKwzQIxDrSOzllTMKba3YDS
yhPBtaGyO1TKn5sDODIsJWIDv9h3xqPK3z3weAaABKOsnp7tDyuEIGyNWDClBQDBqMZIRsCQBay3UN
Wk8g2IOSZ9EBYNytGqEFV0Yfwvw3e7gS4dB00cyGQ4iXxRiMTtfjsdQB3JjceIa+w4BzYjJUadETBB
jRLwnFQVMphDj+abOpxwCW0FIB0TMYizAd9uqnfHmJ/SGx4/NJ9Nz1bRo7Lw2nAzjSEZAHT4mklpqj
YS6JtWeOJ/D1jaU1TlCfOzgcAnQ2E72AnwL8N3Wki+2ki/emMPXOt6T9+dHe0PqYk4mBougqhjnMFm
OkYwUmyBQwRBCgBShDky3d2E6AV+dv6FIRVKU2HoTF2MBvttY8qVbsjDN8N6fn02mVPOySQdKiZRS0
6nIZs3bVZvHzrb2nGBIzGeTxu6r6/OKNhKzJXgWZQP/Yo1F9bI/T9C1iz/Spw9NQz4FejAlUlOzCp1
sd/td/UtXcFtzenPBxBx1UKSaEC1djWQmI9VgnWsKdkahmxx6bQR/+Hm489S7TLXbKaypCrcK5Aw0x
4XFrC8k3+180aWtLn1TcmvTaUjfWRVFz1c1GiOookkQNc0tQUqJGCMpNLcYAr6uqeYlVTEnDIcwnvS
I+k5n7H7vzS8vJ78YC/DdbkP21U5p9M0YIwI4BI3x/GS3sfdSiKR0o7qoKRFCQFOCmNCgaB1IPhCqm
nI+Z+vaBmzvQEznu8YtBN0CfIuxPxKHlfxAG3uulU5pXj052xsR5h4TFQJoBFFBkqBBCSkRQ0JTQkL
CREGiIjGhdWCyNyRt7UDpn2wmObah24uxAN9C8jXgsxyEnhgEB6fDdP76+d4YrTwOi2jjXNckEA2xB
u89IQRSSGhImKRYFSQKEiCVNeONbZjOX0/ktNOI1bb+52LGF+C77S/6fkiLE0S0aXEZw7vr4Uj8aIq
UHptAVIkxIckiScAnfB3RoCSfSJUn1REJNFLRe0IZ2L56Hba2BR/f7ZKQyyKTfQG+xbhRBLZ/LKDz6
vx8e0iazJEqYqOgEVLQJjtBHRrb/D9tX/OJWEeiT3gfqavAbDrl6vMvMrx6HWbz88S238OiR9hfqLG
wxb9GmFONIK5pfpkClszovH63H02xRY2tIyYKISopAmohKkYdYiwiilElJYtGJSbFR8XHyHQ2Z4Qy2
tpjbVa+m17f4DQhsWFOv+peKYs9eyH5/oKOl3Jmi0jr9G4c5sH7ZhIUqMMTroontp+/Qr03oRMgzit
iHRFxzOcVVeUbuy8m6ipSzCrms5JyXlNUNUVVMatqyhjx3vO5T3+GsL17gpSeIDVBnokvZ1CPfu/91
24sNX8TYXTkPTd/fuHIX0i+vzDgk1s41ywGS8LmFjRhswxierIajTCzCqkjztOQJ6ntdxkVrRMEJXR
NWwLekKIwrz0xRqqYmMbAqC7Y8yXF5hbj3T2ORX0STX+AGoy1reRtgHZ0U9i/LQC0kHyvOsAd3fmP/
r35BhFNjQM91XWDsKp6cu/aJmkypxPABcUkwbSFADUJMYKvE7WPhAAhQFlFJvOaYVGyPZuyM59RG2F
rOOTChQtcfPYCeP8kIpRlgVd/ADhjDMaYryitF0BcSL5XpYr50he9bWiibYSnmGVieke5N6YTIasTJ
iQ0RKIoUSAmg8QGp943sZ6+qqnnJfO6Yh49Y18zToFpmdiaTCh9xYULl3jrpHgHa6vLeZ5PklhU9Yb
vt39/X53cB+TR3yiL8JiF5HtVECrtQr1ZnTskXJSjmeaQ3uWHw2y0tUU1miCVR+cBX3qqsmZeeXxM+
AAxKAlH8IlyXjOrAkVITENi5Gt25gWX93YpgqesPBcuXOC5S5cy6vpdMTbnjDEeqJxHpbOINIm5Cwm
4AN+rSeodVStvBtuXfS4F9jl/cRnU/j17W9vMRmPK0QSqQKw9ofZ4HwkpNfl7SQkRYoI6wLyqmc5Lp
mXFuCzZLefszAtmGilCYFRMufDsRa5duwZJ35PlOYmm0vVR6bYfK3qzyvxSqvViLMD3qrL/jt72e+g
RA8TIfDw+v7O13YSKKahP0AZNp5RIsZFWPgbqumY2K5jNCiazOZNpwd5kyt5sxrAoGFZzJlXF3mzGX
jHl0vPP8cUvfpFrl198/7ycU6Wasizx3h+omfsbxa1s1sVY2HyvKgl4VPW81YKeT6agynhv7wlV/Ya
969f/zQvPPTfU0fj1/WKe+yph6pqQwoHNl2IilR5becblDF/VFMWcopgz9XOmEijUU2lgHEpCo9zyw
niHX//1X+daXXDPGx+v1s/c9Uf3nzr7h4PB4FMrKyu/NxgMPu2cwzl3S9fBwtb7MzRPbscdzlPSRFO
aI38P1QCNbRl3A02nythkipvGZhqSYxBsW+jdtoX5AjAPje/cojjGOPbohhKmNWyPHg07o/Ofuv573
7o3nn7zZ75waf36iyNOd0/zsDvDyT3D8V3F7pXEqqSQinIgTLPIuJ4xns+oqhK7u0WZAsN6zrYv2CO
wZwK7WrMdPMMI0UEQRx2UGJU867O+ssbS0hIPn+rz0GOPcuaBezlx7vTeg48/9ltn7z/3/ywtLf1fn
az7FFHJbQeNhgiI7Ta/jcbtkamSidzQ7OWw6xJH7NkbukQcGenI1ZYjStjLKWLpNaWw3Zbgq6jbhXM
IQMNhuOWhbdZEoohpc89Nk3M3ItEhawsSgfcRUUfHWaxAVU2QuEcoNvCTjbcVm1e/a+u5y99++UuXH
r/+4iYvzq+zNRrzhWcuU0yFJ+59gneefTPn/CprY5CdKZoC01QwEc/c1BSpYjgaMRmPSeWYOkUmqWY
nzNlNnqEJ7BLYS0oBeAvBCDEJITaL3ZGRGYtJBYOOpb/SY+3EKg8/+iCPPPoADz14P/efPfu5+++5/
zeOrR3/Nddf+X1sBlmHGou3FiHD4m6AzAHAUkA14lrSRm6IZTsKmHgL4L0cqNJrzlq6TcHnj8i8tk+
QHpnQtp7KfqMRNTe2NDcpYo0AHsE3z6YAsznMZ8StF+4bbVz861svPvXXtq9deny4vcHu9h67uyOKW
c0w9bi6tculywUuc7zjsb/EW8+9kfWxhetTBkGwBiZhxrCcUlASY2Syt8vuzg4TG6lJzJJnV0tGePb
wTEiMUGY0SfLxoAeZgaStImpY7TqCr0kR+haODWCtC2dO9Xjg7N08cP+9PPzIYzz2xjd97tT9D/4LT
p75p7jOJRBULOgpVJu+7yL7x20u3H5VNmk3twOJdnSZSbgFkF6p1HvtgO82tfluVnnayT2KMGsQOSx
BFI/clpNAqoESZAr1FN3dZHb58neEjSt/Y/vZz3+n33qR6d5lUjFC5gXMSsxc6aqBaYbfKuiUcO7Yn
Zxbu4s128ekmipFJnUAo5QamMaaedWoodW0REjsGcUnmAFjDEOUCcIMocYQ24bT+z9HJGEyg2gTvbJ
X1ViFdQd3rcCprjBQZX06x12/wAubz+CvfJ7RC59+/OzDjz1+92Ov+7vH7773X9r1E/9Qlld+nbSMq
B5tMAjGHdm72n6AB1scN25scjOAbk/ez92e0DMI6aVblB9ZC0nbGs/7QFTAz0Dn4PeIwxcZXr34vtE
LF95fXn3hDW64Q9q6gp2PWKkndDVA9IwrD7PGRTAZlexsNsdblyVWgiXtzWAcyZNlWhZ4qSnwFMkzr
ucUkwmhKhCUXQNVikzVM6RmTGRKokLwCMFkHJZpSqhCjG0omQHpOGyK9HJhJXesW+VkFjnWSwxSYm0
1o6NTphvPcLHeZDp6jjvP3fudJ+8+951rJ05+llP242SdT5D3GgMXA9GRxCKmAxgS9gB+B3gT/hj23
QJ8r02W6dDK+/IXbnYZxIATwVjXqqEK0yvocIPR1qXvn2xc+v5y44WzYesyDHeQ2YQVEwlaMI0zijI
yKyF4MGLIxDH2iQgcy7ucXT/NcVlC9mrCzpxU1oToKaiYSs1Ua4ahZuQLEjUWx9B6ilgzoaYgMkWpM
FTtlhL2u6NYB/ijafONHZsCSZuKZxmGnhGOLy9xetWRuznS9ayudxkc72P74OIOxcacYbmB7Ky/QWL
28cHy2g/btVM/TW/tp2EA0sPQBTVoS0Dtb1iHXXJTWyb/FstO+YpzcWuyZgG+V92wuh9QbA/L+N2kg
RpRNNU49U2ty5iI8wnFeEJ1+ffft7dx5YcmVy/eY4Zb9OsJy7MZqS4Ifs60mlJrzRSYOYPv9pDkSHN
lOvW8MJxQAnf2V1npr9IjR7ynqiLldM48VhQ2sMuMnThjr55RSMCTSMzZTCVlrCgIrdUp1AgRQY1tf
1DznTGmTZtoMtnFgBihK8rqYIn15S494zHGoM4QMsfa8SX6x3p0VnJsR+h3PaudwHo+Z9V1uT7890h
YP7vM3f+AcOcH6Zz4cczxT+COgeSI2ltgK+z3TfryZfeytEO6hd23AN+rlGVKLdjsQUNKPaIeGQOWi
EgNWkAsYLrH9Nrz37Fx5fJH0uan36LFBDcZ0asn5NMZZlpAVWI1kfX6zNVQzBOjOlImQ6kZ89ozmwa
qXh8NJaY/oPbKbFzSKZt4zTIFtmdjZnlgK824Vo8Yqyc4YZ4ikzhjO84plZbqab51gAZ8GhBnm7DRl
A515f3OtAoaFTHQdZa15WVWTc3yQFm/Y0BvOTK4w+JWLLan5B1YXepyrJuz5BLEGb1sE9KUqpjjdHy
Pqacfl+78v4Hwo7j06yI9mgbW2WsSNAvwfTUjNRJBUZLIAQD3BWAiYuIMW4+h3Ibh1fuKjed/bHbtu
e/WvW1s8RzG13RTSV8rnHiSDXgjRHGUoaJMileDOiEGZV6VVHVNSoGRF3LJGKwdww6W2B3P6UWBHK7
MR2zHgpRnjHxkbGGKMEmBUgIlllFqgCcCLoOyVoxNaFSyrI+v64boNwZSQjGINmqvoOSZspxZus7Qz
ZTVnqWbFVhJrK320Kyg03EsrfUYDPr084yutdi8C3kXK2NyF8nzHIwlxkis5m+xMvuXRsb/XNz6Dwv
LlwyDFoCNA1/bPhN64Ae0yH4ZRb1xeg6y/EURMUfUzbQA36tb9DWz29DkcgMJZ1BsKrA6g2obf/2pD
46e//xPVpvP5VIOOUbAxjEpVKR6TvB1E6isieQcRjIk1oSipJ6XWGdY63aRgbC7MWW4B0Nfs2oyKjX
43DHLEluTMbP5jE07Z8fOSNFyfb7HOFbQ7zGtE8NQNYm1rcljLYS2sW2336GqPDE0Va7RdGDrNUlJr
i1HL9RVhSeBRnKTWOrC8Z5yYiVyx3LN8vGM0A3YvMJZQ+YsttODTg42I3OGzAIyBzGIqREzJ8kUTXv
fLXr8P0bWf1BY/5hhHRgg0kWTQxRS62o4dMLfWF9GzCthqhfge5WCzzZkgAZUTLs0E4aIY474PardF
x6eXnnqY9X1Z99jhpfpVtvkYYyJFbaqqOuKOpTU0RNRojT0ukk16gPLWYbVxMx7dveG7OzCuICQQd9
06Ls+UWCzmOKLis3xFrNQE9YMS3ece6q/tvTUkvpn8l7/uc7S8uU/evrpjd/77L//3Vrrg3CSKBAjd
JY6fPO3fMuJc2fuXo0+3THaG5+ajEZ3b23u3Luzs/fQbDZ7tKrqR0MIxBhxNgOBmBI2h7X1LneuCHc
szRnIlCUyEgmkQ6fTpbvSxXT6YHLAkuUDxLomKkHmiKkwpkB1SEo7aNjJxdzxM87e+R4IHwT5EmRNf
bZWrVf0IKVK1dyU4vSKmJcF+F6dvgaDpoSmiDEBZxJCDWEGfkSx+dx7Z9ee/bnx5ae7rthg3VYsDyJ
pVlHNh2SlI0aPpAhWiQplnYihRjxIEqRWxCsSG4d5tMokwmYJ8+Dp9hMboxEu2904duyO3zr3yFt+5
/RD937y9EP3ffrYqfXi+PHjdJ2lm/eoysg//p//GV+4fIW92QzyDnjfBGarcseps3zHd/4n2+e/9V3
bBrkgQDGZsru9x+bmNpevXOPixUv9C89eemJjY+Prr2xe+cZquPHNV7bGpy5kJWeWTnLfqRWOHV9ib
bkGU2CyRNYdQLcPuYPctO1tFekstd6CACYh1mNsRZI56BzROaqepOY9Iu4zQvYBcL/UuCVsa52apn/
EgU1oX0aqvbZUztsWfIojSUBMwJg2arHcJY2u4UdXPjG6/PT32XKXVbYxZoKppsx9Ab5ADaTUVBNTb
cu4ix7s1knbiM9sQDIdirJmo665XldMctDj8ODxR/+/1z382P/+5te98TcffvCxT9197330T6xjVwf
kq31cblnpdluvvqEeTukeW8esLLF+Yp2uXaGazyhGOzAe0ukf5/S5+7nn3gcwGknRI0mRRwUxOSkoe
+NJsbmx9e92h6N/90dPf+5nXrzwFNe++Om3msnVJ6cu/YdX5913dAtLbTJO33kS20vQyyBzIBaVCHl
AugZxDjWpkX42gDGISVgCQoVSoalAdEiQvCti/ycj+vXG1O9D+kB2xIbTWwDLvOZVztsWfHPAiWlqW
VJBtQd7zz1aXnv6l8vtS2/PptfpMselOeiUyk/xddXszXkHnxlCisRQQ1JcVLrR4MURbM64ipTGsVV
HLk2Va2VOOvXIH77hG5/453edffh/eewvv/PCmROnOLZ8nMzmuF4fBpZKGrwFLfExkAXAC5Um8rVV7
nrsIY7dcxab7mVvZ4MvffGP2KmewWTLiPRIgPeBbu7Q1BRRIkXE5Kyur7C8tsq5mPj6b3or0/GI7Su
XPrV3+eKnys0X/l7Yu/rAeLr1nxbl9nfX4+xNK0lZ7hq6YsAl6CSkGyBXou01G45regY2RWEExGI0A
+2ACEkr0DFJLMmF77OM3yh0vxfufWq/M4U0RRPZDwpQFUQSt4MT/jUJvpeLV40iCIaUPKYcwfDFb68
2nv0Vv/XsOpMXWLMVUo9JZUEIjVoaOzlRwUdIVommsfFcFKQ22EqoS6FMQpUN2IqWra4je+TRf/ime
9/8j85+3Tf/9j0Pv50Tp45R5nss5V26ptfEkDZNhvCAp6YvOU4S2MYeTbZElvpkp44zOHsX9698E9e
vPM/m9RE717fodI/h8iUUyPIOPswRgayTN61XmpK8GCBzlmExpjvocu9jb+Khx95ELArKve0L843LP
1EPr/3E6NqX3jk1o++Jcfw3+n5GT2qyvIasBOMJrkNmsobxwYI6iFlbCrELKQOTY6xBxZNkiEpFJH8
7uN+RdOa/NuJ+A5Ebgq8PokTV3kB/vlbTmm5Lybcfr+m9J4333ldtXft42r2GLXcZaImLM0hzjFYkj
fgEPik+WRKCTwmDkIklw2A1EatELAJTn9A7jg3veuihn/26173548cee+u1/pk3YPp3NKU3gdwsE1E
CYAViVDxNFGSHHEtTidq6DggY5+gsD+jfsU7v5B1kaRmbL4Prg+nT7awgJqMO4AQ6rnPg0E5AUI/Sq
I8isNJfImGoGrlP3u/T651j6fg5mIw48+Djv11vf+m397Y/83cm1XPvD8Xsbw365VreqxDjUeNJhiY
bXg0kBykH6YDpgGaNamkMxiTU1CQ8ikGRdav6vyXC+61kn3jpzVNf08B79YJvvwqD9e3yAchQ7SAJJ
ArYCLZsJzEj0iGmhqdYtQEtrzLa/cxH6tFnf8RMn6ZXX6cfZ0gSfJ0obZ9pp0dpA9YnlufC2qhGxhU
lV1HXpzJ9rqaMzbpDOThJ/4GHx71TD/3kfW96x0/nayeLwYk7sUsDkgMvTZKgQ8lxbZ/0ANpMglODi
rRqZ02n1yrIyeJiYnloeHh4kjPXTrF5WgkZdPo5xIKODUg9o2MgaSK0PWj3SQyR5p7d5w6DHDpXjq7
tDDi2SvI9smOnOH7u8WvzyfWPlNPNH9+bTr4/K/wPZo6V3ul/g8O0Lc48SAVmBq4HdkCswMgAMdrcp
ImmbTx9guN3ENP9OKyfhGM/CisoPSIdVBwqTXaEIbZpW9I0isEiWJLsZ078yYApC/B9te6C/f/slxv
j+2GbakEjSZp+JAo4Azq9wGx67aeqyZUP6XwHG0qESJSEswnNlTpUpKT0nMUqkDxBlV43Y7V3jp3xn
J1xzYQeq2fu4aGH3vrROx/9hh+zZx4eki9DtgydHvsmTRZBTERECAJW0k0exsNhxZJISPIYDMEp3kQ
K8RR4MitkxmBMw8tHX0NsAsWN2T9iOrg2+6CT/dOZfXLDHqRN7Wt5AuAskvdxA8Pyas7yfLmoJtt/b
z7d+fl5Wfywq9Z+IDlwRKyNDetJajYTX2Ftv81yaG8KaERN2w5bPRoFMdMfQbIVcB9uokw7RBXMfgG
q1haUtsOuIK8gFG0h+f5sh6V1lBug0+oqDXOmZr9ymG1CqVTa8KoKp03C53Dvkz/rp1sfCNMX6NSbd
MIEazyaRbxJBOtxNtANHkJC50qswbgOMe+wOYRa+3ROrnLs9P3/6/GH3vjfZw++/nOcvB/cEtAjkLX
2C809kWaVByXkiUQi22dJ9cbNoyEhEl4jmc0JTihsZCaeWRbpSEKMtv3VI1U9b8kfMPaw6bS0f00b4
bKPdTWpfbW5hnqTOBDTgN9gIetBZuj0u8jy8tCWxQ/aNPsVpfi73k/+o8gYxwxjQTUQqXFm0Pye1Ep
eEsZEwKMSkDRHqUjJIzZ9SIx0IP9bhlZl1X1Hu6EtGdyUtDiQ1LIA39eMUJF547DVjJuFh0pE2x0ds
RhjMeIhjonVNn4+J3sJbgAAIABJREFU/NlUfOYDzIfk5R7dMKUrFUYitVWCicTocSZh1aNlRNWQXId
5EPZmJTtylpN3n9u4/9HHf0Duf/SfcOpuyFaBjEnlMZ0ugYjRSKd16DdxlglEiSQEPSKb2kWv+w5m0
6Y9WRQhWqU2kXmm1B2l20qPFGvQSDkbU/s5KQasNBn3rtmBjli5h6RiPKD19QCeHKE4BAiqaFSMCJn
t4lxOvrKCWwmYSfY50vi76nj9vwrp6keTyCljSqwJGDJiDIh4DB6MYIySSFiNDfDjtJG2Mm/iZ0U/A
A6kBWBsxbc1bXpuBGl8s41/cAG+ryFh0qhjIhxGRQtgpM1gO3zKCkANYZs4e+an5uPLH3DheVwqcDq
lpw1IkiYSihdFxaC+Iq+bWibRdBipY6w5dZ5z7Bu+/Z8eP3P2b8vZe7dZPtYSDTlITt/mBG1URyMGQ
0JpJFUjftJB5rfZ93UdyaK3R1RqJ225Bm0kurTEIqmGUKOxAgJlNaepyZluTS+puQXlZI58hxslbyO
Vs0b9pAsonsi+NdntPAQ6Jo8r/4TY+z986v5MiLt/3eoca1oVX6vGpEw1ooLR/VqlCU1jjLUtW1pBi
IB8ANOpMJ0Po71Gapo2/pNmbjD7W9YipehrNmK7Z7tDjvpAcqiYg8zzxtyKiB+ixYsf8ZMvfShNnqe
fxmgscVpiUmx6HqREVEXFNZ2AEjgMErvsjj1b04yVux/jode9+f2Tx5/8RKe/3BAMCKlOmJSD67R9G
A4MLwJKTSTRqJj7nq3GDjOHdSqO/pbUSC2TBJzgIvRsRs/aRnUOnhjqJspGhBBC6+iX/RZINyauSqu
WS2Pv2S9LZk1HFDnTxp3LQV5e0ERKbeNq0za1dl3IeuSpv23Cyn9Zh+v/Noatj4c4otcFk+qmxIaax
vYODqKgSUhujN23CdVCjCQVjMs+hMgYWf1RzKBlgATIDtzxr6Vws1en2vlSmdCt8RKOTJEPu6TJc+9
jfPFHtHge569hIxAFm1rbMQWSCjZZjOSot5jYJ3rLtHSUrsvKubOfPfvGd75Xvu6tn6q7ZxDyFkSCZ
IlcHfhIrCtsp7VDTaNm7meTpta+6rYK5Q3kkd78O2zj/EuJgeQcz/usZl160RKDPyiqiyg+xTYKxbS
M4iGQ9i1D3Y/AwbTf/Oj5jtRY0YTRhtiQNpLHqGCMO/CnRwtGOohkYLs4WQGz/gnPyqdSuvpLyvANa
iqgQJI2dnnqQuo0THQ+B8kgGdCMpAG0CfcTnf8I9uQm3PEJdBW0ByYjteqnvobaW79K2c7OgdUkN/U
VkNausQYsM2J9/dt98cLHmT6HrTfpM8FUHVJSotQEqcFEUhKcZOTapyoFX+UMx0rJEicefOJXV5/4l
u/hjvsKasF0+wcY8YBR25wvd1h3ZGGL4MQcQC0QGtuHnMOaMY1E0v2sb23ivg90Z4XMZKznfdZsn34
URi3wQghoagKkkzSbUkwRZ83BJpUOKIvDQ+b70360sp+mG8GvjQFqjuLUt691laAGSQ5DjrErOFlG6
HwqRvuOmMI/Smb2V50qIv5Q8pomtlNMTdKExPyAmVWzAzIlMsTK9ONodRmV34CcGDKikYbDIZG/1sB
3tLDrrRybL9f26o/jEH25CJSXjVAxDqsJlYi0/jNSE6lvAavg8IhuPTqdXviVevw0Hb9BHqeIn4NfJ
USP63ZJpmY+HZNj6CRHmM4JswHDMcSl05x93dv+fufhN3+YpbtAl6HfZ0X3yZ1WmphmXdZteUHVgJN
G/TSAbdVKpzn4gHZa8kAEpKmNWbU5bM6AltB1NDaRb36fVpHZ7hBnB9SDQdNUM0aoSmK0iHUETZgYM
GIx4g7jTTks/qRAaIkd00pc2S9Sqgl8aM7bBLG2z9/o4gkkjEgjuBKkYBBdRWwgz1JRFJP/zMTqp3y
qPiQpkhEwWjUbjQkELTHSO5BgST2aiqaqmdlkVmzR78VfEbvyjcSVp6CLNU1MbqBC94k2ubWvT1/OH
6GvbH3eqpnMV7O+bz6GO/rCX5QKxS/3HSQJxtiWSq9bQ1zaSAvIUkLDFuX04i+H0TPrprqG9buYUKK
1hyAkLFNfoXlJNrD0Uo5MHTY5ikli9eR9LD/wlh/iwdf/BMfOkOwSUfqoQB4OzSkVmqrSbU55Aqy4w
2jFqNgUW58jkFwjicy+2zkREWJLFhmg26XJWKjnzTMB6nJO9IGUEpkzDLo9+v1uQzKlRF2XWIROp9t
8NsXGxhJFbNt3r2mNSSA/IPGlrYZtDDhjkI5raf023We/h98NpE2jQps2takJSHGIDIBj9HoPkEL3w
7HubqFbP56kwEhoik6RwDbBAJKkFbgBbIExU8SCsVO8H6xnaf2Xxa6+w2oPHzKS9dibuiztO+5fMfD
+hOvvZuHzUs1Fb/X5l1rP7uY3vZI6ni91kldaA/Tl3vdy4LOpZTFl/2InEgHBYlSwcUQ5fv4Txe4X3
h6nF+nGLWycoqEE39gW2IBPJZo8Wcfii0Q9KYhTh1s+zfI9r/ubPPaGX2DtLtT0KVu/nblpBxVpiB9
7YJHs49K2722/6JEAfm0dx1E9QSMYiyUjxzblKzSBLyDMweYwnzOa7jGtZlCMkXyV2XREVZUQPcZ28
VWJL+d0yKGqGollLc4KzjTpO40rXKlCxDmLaVVdrNnfxg4k+kFFQLtPc8QDTtSQHS73NhNdm8A5lFV
EcqzrIaH/E1H6E5Gdn4ddMGPQEpXG79g0+GxYUCMek0rU1DjxBH8FwvG3590Tn8D03mdjF0mCtY2mc
HQN3gy4l11fXyVpc6v2AEcfH+1S9cey+f44nUn/pJLyZSXby33pVhtCLJGGZDBGMaaCWMP88nvj+NL
3yeh5OmGbrpnhYgU+NiUK4ghjPZkoSS2pFHb2avykS69zgpNf943fx+lHf5GlY2Ac03bh2YazBBdvs
o9AVHF6hI61rSonN15lVZAUcAYy0UNLLHn8tKAeTxDvcbEexNnsLWUVX//czviR55979r4gHula+ks
ZOzs1KZTgIDeJK5cuvPj7//Zfby0hV06vrV9a6fafXhks/RHdzh/QdTP6GS6zoIG8dxxIhNRE/9AWk
lKagsLuyBc2R5z1+56drC2QpHJoUR4GrPWBHmgXMX2s7f4C2gkq+j8iHpGIamgiXlqXkW0rCxAbkid
Tj4YRKV0hsf59puM+aczJXzLSBbIb1sefhbZ2Kwy8Ekwc7U71Sr7TV0243OrH/1mrrkY4Qih0G3cCC
Sgg7T48Hz3zc2lygbzaoisVOYEUEj427B1phI1CRyHFLlUtlJMe3eX7OXnfN/5NHnvHL5Ktg+lRqCB
isEdyA8qWUbStH1H22Yx4pPx5MgcZ59q+FFoZ3Q+xKfHgmwrXlCVhOGTvyvUnh1evvHu6ufmXs1S/d
Xt7m0sbm3zu2i6f3Z4RTtxD7+RJlk2grqfU9RSKERvPX+VX/9k/vvu3fi2/u1f5J+4/eSf3nDjJfWf
Ocufpuzh5+tSn7rr37v83O3Pq/2Z58JvIDKzBSeuwbsPUQsuGtl3jOdobQY644yW2Es82AFL2k2JzI
jkSwNJBshyxFoL+Yki1A//zog7STlPZU2qMaTYEUgahf3DBslBR+WuUlaU/kJ9jIL+NnPwSVUI63a9
q836lNt8fR7rdvCG8kk3B/XFVwj9NCfgn35oOJU5DrxsSFXUcYYvnPlbsPdXNi8t0w5CcAgioT8QQC
Ah9U0MEVxl8mROrHl13huN3v/2HePibfoHeGdTk1NZisY2/jyYoWtQQJR7MYcQ0sfpiGpZyH22tmpm
SIpaDpiqIgaKCvR2Kay8yvX71yXo0/Gv17u53za5vrs23tqEsMAaK7Q02r1zhwuVNNjTn1PG7yHOwL
tEfZJw8tcbOtSXqnRFXLj7DKFQci5Bdu4ZdP4k+/yKbS0ssrQzeevyuE289fueJD/VW+sO1Bx75tWM
nT/2L7Mzp32RlDYwF63DG4Iw9KPLHkQYy0jrkD2NEE6i2Vb1N6wDIGvZVW/85A8juAJ0hqfgFH+Ny0
v6PO7fX2HmprasdXbMz+W5zXwIiAak3CbGkVNPtuqWPkS//B8T8K649Qf5U7L6vBg+vlKR0f5onOto
W66vZmV7281oB3QM1LkkTMjWfbnwwbT/7nlC8QF5vYutJo4a2XiJVIRIQmWNqgxQd/NjQc6dYvvdtf
597/tJP0HuAQrt4m2GBjERGQmJqYxWhk9mWRVQSBm8EPbKhxnbBWtXGPk2KpECal1RlSe+ZC4ONF59
//+aFp98737j6qJsWZPM5bjpjuZiT+Rok0h9uszyZ0pmUKCVaFxSzEWa0RVVPIFWkOMeIkpnIshVWj
GBnE2zWxboMZjPme5a94TbF1Rewzq25Zy587513n/3eex58+KnVc/f8EsdPfJyllRm9JXAGZ8CKaWy
/g4Brc0TNrg9tWFw7n47U0r/Slg5tNJQMslWsnqIO+hPR908489SHNNaEUGJjxHiL+D7UDfhSmhFkQ
qljqrhLVUbUr7ynt3L8g3TXPnYrhv6l7L8/TcB9JSLmK61ZERE9fENPmgMVr9jV8Oe1W7yikWqQHFV
DbON3vff3TabDn6z3rrAUx0icIqGEOrZrRA4CSUJdYKocKTNc1aEzOP2rnH3zh1l/CFgi5IelBM1Bn
ficI+Kuec3YFvjtxn1EUcuATJqQMMqaajRmtLGxMtkd/kD1yT/44Gjj6nKxcY1+PWcZGJQVrvBk85o
uiUkxwQ3HdMuKbmqOlwOZgLWCMeB9RZgMkQRdJ3TEYuaBPIMlY1jPM1Z6A/KOJe900JiIoaS4fp1r4
zGTzZ1Hj794+aMnH3jkI8fuf/BjnHAfpefGGHNY0u9A05BDt4Np07hkP5nWNoqpHrg3CandfCwgPch
Wcd7ja/fhFPRcivVfTfUEao+pM1xtMFUO0VCUFTUTStnCG4iaKKcnOBUe/Mn8xH2/Dlz6arrkyks3C
UhH1m9HRPbz1dZEZNZO8TERWQMuA7mqPqSqQVU3gHuBu4wxW+3xHgeSqu4A94vIOeAZ4F8BTzXcfDB
9iaIk5tLk3giaFCeNgh9KxMQmUxPYMeGgO52haRuV7cdNaLsDxcP5kXaBHmiLDcF3JLjpkF1LNz2+l
bY5dT2WrCEHuuUYW41h5+kf8xc/mevms6juMPVzbL/LbDRkdWUZrSMSPC4lOuEBtvdKtuou6w9+w2f
v/Pr3fA8n7yfhCVlFB0enVaYEiEZucHd5tP3VYFKiiyG0wcwekKgsKZi6hs3r8NyzuMvPfdhcufTfh
Ssvrg2KbU7UEHYnyLiiqxmxKvGxxvU6bO/uIcYy3J1TxUYF7HYGhAxkxeHSEK3HGFUGa2cotrcYT3M
GuaUT5tRqCHUkD4HV6OnOazq1xznX9Fxfyumh2Osj4m5BcfH6sr3/0t9ZfeSRD3Dv6b/HXad+in6Xm
TFEDF3pNo5t38xKMA3pYWj7zRMRIN/v856aKAfV1IRtsgRmmdQ9g5qa8rnf+p6Ujj8ymY3fsLm9waD
XJTeGrRcvMBCHqQJhpiR/Apd3yQZLXJt+hs215/O3nH/+x6aD7/7PnTEYYzoGU7VOmxzVgaruNQSuv
SdBGVLYxshZhzsJbHpiqsget41M34B4nyBnLGwJ0aZUvz4zRGLcc3C/GLmLFDeoqi4hfh1QlfnWrkl
6j/PhjPH+ReY+ow4PoBIxnU0/nJ6oxA0KsbO57SRZXV9eO3MWZOkLFenasShBRHBN3TbuxfJXCOmhe
lK8kCRdNJbjucNA/Bz4RMedoI7XmIyfO35icAqs06TPpCC1VXc3JgzB7aImQ+yAyLDhoLUDVC7UjY5
oxGCzdFCcsa15KSJou9Ua85Uj153N0JiQELC2C+Od77hy4ep3b17axPmKoIlMG1KyLjsMQ6AsC7Lco
GJIwTMsEv0Td3HnPQ+/l8FagVpM1m0Dec0BvX60n9GhVLOkFKk1YK29octcjtK1ApMZYeM64y899eT
u5z/7P8Rrl5/ozEbEYooNNeoTqYqkOpJiatVnS/IROl08Qr6ySpzMmAOTqqCbIikFOp2MTsciLhHFo
5LwyVPWkb4Gsu4ynW63KSPhGqlknSXLWqYwyxCbgRFCiISiwF/bZmazNR2OPnpHFf+L/K6T/+1gde0
3yZoolBgb+87YW/Wbb6+SafuqmUZsitjW4dIGutqmH3zgdPH5L372vdvb258cj4eUxRT1gfloSCoq4
rTCNoQoSQXJOkyqimMnT5Fl93z3I39lXnT6/UhmniPEjKRvwNqalPaoyvuAu3HuslFyF/zjpDTHmG1
SOi11fVdP9Wq79k7XdUUK9V4KfjWG2sTgVVVDDHUmMYCGqD5YXzZpW6rKXrhOMZ3h56WapMdS5ZmOZ
0wmU3zg3sIntouSwuSDux5+HW/8xm8ql1ZO/EZ/dfmjFvf7+6qTCz7hjA0YlqpUfevGePN1v//7v0t
ZTCYrvdycOrYyyJOfGV9tHVvqn7xjbd3ygr9gjPFG3FkVc0Vs53nT6R0jH3Sw7vMELcGcwtprOHcRY
9ZRtaj+ESIRl5/AmCtgLqHplAHBuc+Jyw1GTjIbb2Lci1hzByJdMM+3qFzHmFnecTVFaBLs5tPq4qe
++JHf/de/zXTzixwbVOQyoyORfidnHxp1rDl2bA0xifFsgnTXeOz0o+/n3td/iv7xJv7QdJA2/lKOE
A2N3RMPOtCikLB4E4kHCZ+JTBM2CTocM3rxMnuXLv703jNP/e3Js1+iu7vNegwMFOaxRH0T+WJtjg8
BtRlJEsO6IACzsmQkym5o+ujWAqbTZHGrlKjU+FDgfYlYxWWCNYY86xCtEl3TOdCnSMdYTJaTd7qIQ
rSdRiUxGc5ajOsgAdJuga+Umek/Yefyf7q77c+wsvL90usgInjTBGwfePn0JjNlP33qSHaFtBRNg8n
/n7k3DbYsLet8f++whj2decw5a8ya54GiKCiGy9iIeJ3AFrBDxBuBjY3YHd1BBNGhtqKCVyIE2w4pR
em4tnJF7QtGKyiFRQ1Q85BT5XTy5Dl55n32tNZ6p/thrX3yZIFfbDvo+lJVmZVZO9dez/s+z//5D4p
IBhozr6L/7c1vP/rYsZ89eeLYZ7vbbYIpML1A5EtuQVTtc60tDdSsg5HxjKz7LMI98lOjo6M00hrOF
igPSRQHEZzI+wNsnoVYRzcqITCmwBlLCOGg9x7rClpZb48QAZzH2BxnzLjzecnxtVZ4m0WuyEtjZGe
UNwVFUewUHyLHGUev1xVb3R6Z92Qe1rt9lre7FHHKzOGr2XfkCq49fM3Rq/dd+btj6dgfEcQagK+el
w5BeCfCcSnFr5iIv3Gp/Nhm1n7Hdx5/uLVw7CVaEiYT3WgF0ZhIE8YbDeZ1uD5NU5K0HmSkJ5SObkr
qDRrNEeKkdkdpAy6dkpGK45hIxUYIpaWUQkrpXXOiLaUcr76iC0Jp4ijdoyK9JIS6gFRTUquaUPHzC
FUg2AfqPEqdRspxW1OxQj0rVN30Fxd/+cRjL7H4/CL9rS3W2Mb0V1EyoIQkjlOEVOhYMz4lsd7QTR2
33HnrH4/uv+VzNOdBjoBPL6PsDmPExM4iePi2lTsDGZdyl4KCgCfBorICujnrz710++rpU7+7dX7hT
tobNK2hiaRlPEme47XG5AZvJcZKusbjRSAjsNrLaI6NsrzdZ90Flo0hB0KiQQaMzUvwxQ/Iiw4u2wQ
PA2vZdgHhAgfmZhG1BNFMkTouS0BHFD7graMWSlqAlBod19H1BrLWRKkU52LUagfHKmrgPiJm8/vZM
/MzshU/GYSgAJLqEBqCGyUN9PIkJMTuG7JESX0IZVczdgOHr8swf/vS55567rH77aB4r3BQBKhzyfJ
iSJ9vRnV0UOQXJC88sQorf8xIs0WjlqKlItWKZpwKFTy+yBlrNEWqVZmQaw3B2WpPWyJIPlsr52YR8
N4SfKmDFMKhgkW6HOEtwReltX1wRK40HPbekm4VZM5AYbBFRmYsfR8wSpEkCQeuvY4H3/mDxc33Pfj
fmZz+JLXRRxEaslDupnQ5muko0riKmyhT/fjo7MTPvvEdb/qHgwenf+bbf//1I8ce/Rar58+i4xpFr
cb68hL1rI1vtQjNhpC63ABlSYxptEjqtdLXMihFkEgZoYSOyn9WKBVJ35gcF1WYYgjsCUIhVQTIeR/
EvPG+5CYq/XqPJARCQN4ohEBKGfKJpnCFfzdW011rs/jyacIGuC3F+nqXZnMECBTGImSMFQERSc4ub
ZKZnMl7r7w4de29H5EHbgBXA1GHSFO4EiIXQ3uTcGmlcRmI5i79u8WW2y1vsReX6J84+xObzx/7/GB
xUdPeoOYtaZ6T5gW6nyH7A/JIk2cOKSKciihSTRFFdDCsqR5nN7dYaW/TMZaztmANGODoFQOCy8t5W
wyItNsR8jdHWjQD0O5ybnOdVDgSKSjqDaaSOjJOGEnqJErRiJt4qRAiBhUjiBBOIgpB7ANprFBtgwv
bBC/u1JF+DDX+AVHXf6SE+se2r5ev0XaSoAShCuUU1crGOMWBa2/njle/iaeePfGR488//0YT8lkP9
BDEOi5vcRWhnYS4UTF3HFknsH5umbZcpZ7GjNabjKQ1CiVJpCAm0FFtrJLESiC9QwZf3fCqnHllmyB
FSQn0BQSLV6VjOcGQ5Z2y6ERFIJCOEALO5BhnmcwU/U4Hgiet1ZAqkDlDfW6ewzfczL1vffvTh2+/9
z8zOfeHWNHbATiUqDSK5cGkh7YYttJXp1FtTc9M/tb0/a969PqDe3/xxcMH3/7M178ed86dI/WBuk6
p56vUQ04jSKQD7y2R0NRUThISIh1jfSB4RRAaQlxaqcsYJSP6WwOElAhRra2FREiN9RLrPEJEOCHxT
uACWI+wLuB9IIQgtluaYhDAxQiriLswJiap1SStmREGRRfjyodWBEXfFJjc0+5vMT41w76bH/jYnhv
uW6M1j80kUuoStQwVMUVUKGfYDfVcGl3QQ1JvICIQY2Frg/bJY/9+7Ylnf9ktrZBsbJEUBZG3+O42R
a9P6ktl+GDgsSjQMSaKWA+WC9ttzm6us7i5wUp/q1Qf1Jv0k5ioFtMaqaG1pNlImRyt0WsnjDajSnY
OQQaS5gjWONCKdec5enGJJRkxGafsG5/k4Px+picmGScpleEyAZXiZYStDhgZFErFEJVkNz8wmI22R
okvqMnWgbhV/5VhV7mDGsrvxRCRVcBJRT8rY5OQUtLXnlpS574HH+Dc2dNri+fOfuziRv6HzTSlk2U
MQo4WEc0oKm+ioo8WnoZQ1KVkc6MDwVFPUtyIxSR9YgENJWhEGpWm5Q2HRxGIZCjzFSMNkSSvuTIqM
Bh8MCjp0TgEFu8zorreIS2GapfssFgFRW5YMV36iWfLedZsh2xsgsNHjnDo3vv8/I23f3nP7Xd+kqj
5eGa99zoi0RWKUIVjiZ22cxch1VftQUyKSMKje/bu/5fzb3nLT16/7+AHTzzx+K3nXzjG5vIyjZkx4
jghisseXgtNLZLUIkkiA/3+JsILPBohI7xISmsHYUBHNAa2/IKkqiDsCCk11guMBYSlsJA7CM6DlwQ
fsMZgrGN7JUfJFFdEmEJS5I5+v0fhCmScsr3ZpT3IcTomE9DJAoVw5D7mrlvv//M7HnzbFxpzh0HW8
VEJBLwyoy9Q5thdgl7lkMS4o/FUeOI8I1tdYvvYS7+x+fSzHzWnz9Bs99HdjMg5grPkvT7O5uRa4YU
k0zUGzrHZ67JuLBezgjOdLdbyHJOm7D1yN5PTU4xOTy7oVv3RIo2evlh0jy52239W1xJfdAi2TxpBs
yYIkeZNb3nzHW978I2H6qgj3cWlW+3m5r356tr+fGWVfL3NxSzHdtps6YjECXRaI1UpkYiRKiFEETK
pIdMaQSlEpCFKStex3BM6GUrrXxYqniDSv7CL6LlzKA278/LlEpdZQ4UQSo1HKMkIBsPcgTne+JY38
OzTT3zhq1/563fnPnuXoVxTBGtAeyIHkbUEGYhI0DbDGEUaJ8Q6KWdY5xFSILRESolUIIJDCI+S1d5
SuYqSKPBBE4IjeIFElmEwFXBmiSgGHZywWG+w3uBF6bmTmYIsy7gQOXwck8cJjE9w4IabueaBB5/Yd
8sdnxNTc1+0spkNkLgoIqZW6ksDeOOJlKRSfJVLdgUkaCy2rHBvSaVG1kZ6RPXf3Xfn2FN7Zvf94qk
Dz/7A0Wefl/n5fyh9J4MnDo7WUOLvLN4UNKMIHASh8SrCCYVBlR9CBlpxWXTOhfKGDKakJTuBM5X63
AaC8eAFIiiEC4TC4KwhjQ1xlLDZ6dJez0DEOAKdXkbP9vCJpp05Qk2QIdiyYLSkMT7FHQ++/uNX3XQ
bVicQJHJXhJz6Hq1UEENx6qXK7HiIBSTBItvbrL700m8vPvrYh83p00z0C2r9gribo205RQovGKiIL
RzbRYctH7Pe73FqbZWVIseNjhIfPsid1x7h2ltufvi6W27+8+nZ2a/Wm/UX09E6XTPgO0ef5Utf+Qt
st0NzrlHKdFxB0S/9XGZnZ5981WsffHJ+fIoUgW1vUWy2r+8sr7xl8cTJd507euI13fUt+kJy5uVNa
i3DRJrScqArNb0TEqEjBiIQi4ASAa80SqqSydC3EHofZWY0RvBzO7jK7uy/nZtuF/F6SLnaxQ91BJI
o5qZbb+Ud73gnR1889vGjZ868S2jQGrIccuOIiEijmKaskRZAL0fZhGYSM5Y0SQTEzpNqTUPHpBKiA
FEoV0WR8MRaVvYWrvxgeUzwgeBceSPHlO+B92ALalGK9wWFFxgv8KqMW5PaoKKE9cMNNvoDRuf2cc+
b3uyveNVr/oqpuU8SNx51suUMcUVEjMpLLQhSASKSVcb4TvGVT0xVaJSvAPbSc8OXfg210Uflodp7r
mpNvmf6yE0fWnwqvuvCmTNsLS8zJkEnMSFclcyBAAAgAElEQVTLsL0+0gZM3qdZaxAlKbkXFMZhRAC
VlL22KZBSo2QJa1hX0rAioYgSTadr0FJTjyIy68kLj7UWUxQUucGYrDQosim1KKaXOTJbYELACMHFr
XVcFBO0ZBA8F/0WI40Jbnngnl+/6f67nk/qjYoU5odr9J3TCMA6uyNIdVTzZygTgbQqldwaT1jZYOm
xp39j8fFHP+wvnGckK9D9Ab3VDUaiJqGXM8hy9GiTrrCc7G3S1YEzFxZZbm/QlZLpI1dz0wMPdG589
X2fO3Dt9Q+Nzcy8mDSaCCUr4qgh8QkTUxOM1uvEiUb7jEYsqxcFigzStE69OUrcGsEai05T9NTsi/X
DV744e/Mtn7pldeP6pbML71+/uPKhTfdY69zSRZYvXmB/HDEmFKmIUPWy+SJK6HqHDh4pBdp54qKag
YKhaHc/HCdJQRL9wk7xKS6pJLh0Iw6LUEu98wNWSFLKApDUec39b+Q7jz/3/KmHfv/XpdIfa2d9lNB
oH1OTCZFPCIUiISEmpk5M2veksWeknqJxJLmgJgOJD0R4arEm1WXBae/RIpRWi9ZTeEG9lmC9RcvAe
KOOsz16nQFRBKY3KLkDwWOtY+B9+d4KSQgxq/UJrr/nJnfLPa9+bOzKI7/D2NQfE9eBhKIIECuScgt
caktDxf99hSxGD+OCGQYoBlWuz+UwRSZCqABRPSOp/0FzbOrYdRNv+8XaiePvOP/iC9KtrjHIcoTto
5IYKS2pLpEll5fCTSUjUp1gpMQNeUcyVK0u2ODYmenKFMeKKlQJVqUoX0atEM4TnMd7S5Zn9AeBTmY
ZeEPH9en6LlEzpe8K2v1NehI26XBw39Xb9735Nb8yd/Veimo1IIYeyhVdYJiYIxW74qKjHacFKirbw
HeJs4L+saP/fvU7T39UnlqikXXR+QDyjGa9xvb6Nk2RktZHOLvd4RR9ToQBR5dXaK+nXHPzDbz29a/
tXH//q351/w03/Nb4/n19kTbKT1Be+JW7Q0A4i9aaWEMqBc2aJlGgnEFVB0KsYhCKzCt0VHYZKqpSe
NM6amz8xX1zc7840+l+ws7v/8j5k6f/3eLL51rrW336W1tMeolIGihlGBlPCHGMiyK8kGUQSoCosJB
bQipBqI8SRRvAr+y0nvry9WwQl9Y1lxGaK2ArVgJRi9k7fwWvuvd1PPf8sV958fixnwkuHXHWoq1Ai
5iEGk2Z0hApTRXTKhyicCR9y0gtRgqHNAVaOVIRkXhB7MqbO9YSrQRxJAjBYYVHxR6hS82jMTndgUE
Fg0wEUZqgRESn36FvHCaKsUAePGmzxfjEOG94948yv2fvX7b2H/oUrfFHEUnJPxIJtUgRnLwkLduxC
AmXuHpVBZZYZZCXhh5BOShXg6YVpf+WlgJU5Ega/yDGrv+Bw+N73zsxc/j/Wj1+9J7OyVOqXywhVEQ
kIA5lgQgf0D6UPpBClR6a3uOjMo65TPvxGFdasgt0RU0yeCkonMdYT+HBBI/Fl6RmKTAOCmPoG0dmD
T1XMGDAIOTkHtqmz4Yt8HGM1hFH7rz+k69+06u3ZCuqhuuww2AZvhFDAEEisZVbyHC5LocKoQCxGTB
YvPATq8+98MvF8ZcZ2dqm5gryojwxe6aMZu52MgwFy8Hz3OYqz9otsskmDzzwDu5+8LWfufuNr/1E4
9D+DZIYh8IBxcCSpro8lHxVfKJ0ftaA8oY4glhZlLQlCQmIVUmKhhKy95XaQgZBrASRkjA+Rjw21o8
nx3/lmmsOf6750sufWHz22Ic3Tl+gv7aKCZJ9I1dgjcdpXybOWtBG4rWqZjGHGOR4IZFS/TJJdA4p/
qiyGi0d1v4xMnz1fOtyV0F6UKnmjjvu4DUvPbC1cPb8J8n5JYGn5iUTKmUkJNRDTCOuMZo2GJEGYww
1nVKPEmSwWGfBC5SQKCkJwVZc3kp1HwTOB4x1GJmjQ4SKSx1oVhSlhSGObOBRaUxPeXpBkEkwKqI+O
cGBI9ebuWuPPMLdD36GevPPiNLKHEpWORWVT6m8dPiEnUWx37WOkbuI1eEVJ1P1tg2Nd1xlShQA7z1
NX0eON/5ktDZ1brQ18282GnPv2mqeIDt/ns2NDQpnGU01dR2TBo8xhtxYNIFIKbyUeAc2WGwozWFLj
01QWmMHBdYV5CaQm0BmPcYHcmvJTY7XksJb+tYxcJ5BMGTSkGMx0tHOe3R8To7DC8HeK/Zv3XbvHZ+
ePTDPoOgRx+muE9nvMqy87Ecr0VKl7fKgREA4T7yxdvu5p57+fOelo0xkBeNFwPZ6ZH6ASWNWum1at
Ql6ec7KZo9zZsDLuSW96mrueevrn/uJd/yrj8wd2v81OTeBVYGezdE6IUJSS0rGX6hWil6UWsWyQzE
IFzDBIGTJ4dSq7AZV8ERCElVroyFGVCUPwrC1doGiIUnSqY35RuPnJmZm//z8M8d/6+UnX7hpNeszZ
sqViNIS6SKcDdjc4JQijkvGjM4KnChRarz9PLX4RSL95BB0eSU3MFQD4fDdU0LgnccF0EJAJLjimkO
85jWv4qknHv30M99+8hdSGY2NpTXGRY16EVC5QQZLFElCocsxKYkujVBKIOME4qgiwEqc9DtKe+Md3
nu8EMTelI4GMiBDgfWDkoMqAwNTYHNLoSOyWDHQmtbefVx9y+3M3H7HV9i3/zdpzT2KrjaRjtImvAo
cDVXtuF2+POEVUpx0p+3cbQ8gLqFWvvryA1wW4iSlwPo6cZCGuPYwe656eGJ05ocm9h/68Mpzz9538
djRqNfZIgSPEYLUlbptCUhX0sh6Rcn7FxXxWHqFcyWB1psCpUTZngaH8wYfwHmHcxbvCzo5dAcF2wN
HpwgMgicXhlwYCixWOTwO6z3G5Ry58chnbr3j1r4Qcif55zIj2WFfOUQLRDXzivJze2dLNXjw2H6X9
lPP/u7y49/WyZkF6gMHm1vYvAuxYLXYpi0lq2bAQAleLnqc2t5m9u7beN37fvT3rnvg3g/tmbnekyq
8khg8Wqc7i+UhP3Z403qhEGiiSBGpsrgKv4mMLGlNksSQZUCRI60lGn53cpe6YvjHLOcKnIzJVSCdi
EibI1+7amru1nR0/HOnXzrx0+fbm4zIQCPWNBp1IhlhAtjcErxAxxGJc5Dn5cEgUk2sfxe4i8qx0Iv
wXQqPIRpTjoeGgEUqXa48coeoaw4d3suRa6/qXzh+4jNy4D5ed566dCS+XIYZk5ObjCIzJEmEEYHtr
I93BbVU04g1XitCVD5bpQJBeIpQgHMopVBRTNPn5PkAby2I8rvVWuJLoxiKADaqU5uYYHb/oezALbd
8s3HT7Z9hcuovEIJyviv/TEHLnRHJDf1x5OWrYf/dLQBDPchug/+y7dTDX+SrGVGidnk7ep1UDzUgE
glx9Jek6epUEn1Uz068c+3kSQbrF+lurJMUBU0FKaXnii0yrBXlg5AKrUuU1BmPMRneFyRpnWA9prJ
EF2HYJjokju2BKYsv92ROYISgCI6cghzDwGYYAkJJWqOj3HXXPZ+94vA1BASxqjGM4RBhF0S3CzuXF
YtfVYZMerg07ndZO3f605uPP3WnWrhA2uliO33c5lZF/VJs9npsNxssZT1eOr/CSi/nyL2v5p0/9VM
fvfOtb/hUfXYajMKJco4IojSgsN6g8gJFBDJCiPJWs0N9mhRILdBSIBOPrgmiNBApyAVIb5DOgC1n2
FAFyVo8zjtE5Q0hdqhzGqtduejdO+73xbd90I42j144cfY3V7e7DLoKF2laYhQda6zz+OBA6PImDhY
bAkoIVKTvJIk/jeTnv+vWC+VkP+w6Q/XeREpirUXqmCIYkiCZ37uH++66h1Pffv6z3cW1j7utLkJ4E
hUTSY1UEVYIamlCVIsRkabwFm8NkRdVEI5ByUCkS/K7FKG8jV35AZRSYCTClN6sURwhYkXhDZ1+Tl8
qXKNOc89B9t12O5O33/kVDh7+NPXWY2UvL3Gu7IZKFUcJxiBFNaeHXQYiofIdF99TKqB34Jfhzwu/Q
+AIuMrc1SJDQFYWc0bWKuMgURJ0nStULf6GPLD3GxNzY++Mplof3j5z6v7Nl0+lZn2VojBl22AcPli
ULjmXIZSkYudc6RcpBFIFgrcI5/G2wJoM5xzBBbyxOFvQyx29PGdgAhaFkYo8WAahoOf69MkpkFgvO
TS/9/evufrIktYxphgGOsqSElWZ+Ow8mF1tJ/7SjFdadDnaS4tvfv7bT3xk/OQZJnJHnBe47S6xD7j
CsJF36eE4s7nBmcJyMu9z+PbbeOfPfvC9973pLV9U9WY5I8iKSSOGiKsnFpIo1mDkzm5ReHDK4LF4X
4as6DiiPpqwvd0F4fABIgX1pARhcIY4jncZB5cvRrTL8kIZj44CQSr60oIP1OZazEZHPhWNjy6fee7
4H2edPpsbW4ggaDabJejlAKGxwZQng1dY4VDKk+jwERq1r5LovxY7raffMQpmt++JVwgpKUwfqSTIF
GOAEDE9MUci60uW2u8bb3+qplISUUNpiJKUen2M0bT8vSOp0FLiCKV8y/kK8fEEawlWoqPSXMuZQLA
WZ6AXwAuNI+CERuuY7QIGkSKZnmLq6qsHk9de+3D9jrs+zd4DXyVOGSDpywiJZrxCAkP16vjd7bW4t
JiSiFewpORlKlp9mUF/lZFty3sDWUZIVhbml2aj4a55KP9RKsYjiLVEJOKrrRuObDYb8c8nmh/Mzml
YWydstQkGIjTaxWUmXV5QFAZrLCpExHFEpFO2tvsUhSUfZBRZjnEe4z3WOIwpyEwgN5aCgKXcFRYYM
nIysp2Tp4+lXm9+IU1rdLa2GZ+eKjV41aPyQZWOmsN2c7cL1hCccq5k95qMtQsX/tNLzz3Nvett6kp
hsgxX5CRpwtLWOgtbK/SmRljudTi+bZm/7Tp++EM//UN3v/ENX9Kt0UtpQOHybCKNJBaU7GF3yftly
C0NovTlFFoRx5q4FiNUILcDnC/3YrUkRkVx5e1XHjKqaj3V8H/sPThPolKwDqcVSmuGQWvxbJ1xsfe
Lzvhs7eTCn/UurjPo9kikRkW63I0pRW4zdBpXyU4KIwIukiSR+k8qkn8t1NB24pK4tZQeVc/WCIgkU
qQYK9nu9Dl/6hwLR0/x2Fe+Nr292fs//cD/VEKdWNXASaxzyDQhrY8SD3rkgz4+BKJ6Sk3rcp8nNQ2
tkMGhnCSSksiXgiMTFCE3YApMM8F5QzfLwDkSrTA6pjU3w6HbbqTxqvu/wp49n2Zs8nFURBtJLmsMg
AwYt0NEvjrMhC9HJkLl0you8cu9vDT4+Uuo8PB7v2ypLIBkSBj8R+h7tpLaaGS5wwiyMrJN8LJZWGE
f5oqZh5uzN75FLV38+Y1jJ1+zeezlmlvZQFnLjc+9TKgn9Gopg7SgW7Nli+kFsTF4Z1CFoDaIKPrQR
9KNIja0YxtHMThJYQu8gjxWbHjDVihoY2hbT88DkSLoJt88efJvLvzHT37lvte+5aH7X/PGvzp0+Kp
8vtVlz8wkcSoIhUV4Vy5dhMLLCEO1yxMgXcn9C+dO/cLZR/72ttb6ecZWF2jUWyxsroGucS5zbMcTL
DTrHF/vcizXTF5zAz/y0z/33vvf8q4vqZExXCX2UwGyaGvHvzoiQdIsB/WozJgsDXAtEo0mRRpPLUh
qaZ+QrNLoDEh7OSNyjCLvEEdj9PQMfRGTJgEhsqExYKW6jKpTNxqGV5QAVxWmOYTDPZBMpMzcePWXO
iq8d00Uf2ysw8cFdRlKoKJf0GKblhwtV0kOokaDYiNHNPPbOHzgF5D8hiJAQ4Hw9Is+cT3FESjI6Xe
atDsZy+sXWVg8x8mTJ/Y8//RTP3r06ed+cv302VvrxnPt9F4iI8m2+sQqoqU0jWCo5X0W4i5JBKMom
jhaARpB0rSCNJLk3hBisMrhKBDOoPBEKhBLyfb2RWwcYeoRvVYTuX+e5jVX9mq33Pz3+vqbPuXHx/7
WqKhSbSpqQtCoDhGFKPMy2C06lyXK+r3qRf4vMFDa6VLFrnt3F7qjdETUbH0t3au641H68716892Lz
x9j6cwZzMwoubAYEZAioHND0R1grCcScRkSqSV5bOnnnn5e0CsyBtaSFzmFMRgcJihyZxmYnH7IyHA
4IIkkPevwto/JnHrumWfesd3z71i+uMGhw1f9j/Hx+KGD++a+fOXB/b0D81PMTo6iRelPGyqvWudKe
RpIWNsYefnFF//D+sJ5+hubbNqCXtZjzfTxhSFHs4Vkqb3Kqhuga01e++YHP3rXfXd+sTGSoqLyFho
iH4KkojL4Sox8qW+RogJMqmyHshFO0aqGVnW0Aik3gT4+DEpARTmCLzA2J/aq8k8Rl+CWoC/np6piV
2P03byeNIWrrrrqiyNxMrf88unf3G63CTpCpTUIhl6vQKkC4wP9Isd3+6XaIW+xZ6z5Hxhp/Gdq8fa
QvSDjBlvdAaub6ywuLXHieMHyysWD5y8svGd9a/0nep3t6zeWl1lv9+j0DY2ojgoRtaRGXIuoW0Ejx
DRkgio0iS/1mlJ6nHRkyNLzpdreogQhlLxMjUTrGOkNWEtuDIyM0LcFPQSN6Wmuvvte5m6/9a+Yn/t
tRka/7aXaSdQQQlUd4P+85eA/S/Hp6mOo4QS9y/lYiHLnEfB4pQtZq32TvfPfbDQbbzicpv9GjzZfe
/7JbzUGnQF+UFCTklrQKKvKwBEV2BoMMGi60tKWBd1gyK2HrJwdCxlwXhC0xIlAESwZbgd2zm354IW
U6KRGXKvTrNeQItDe2HjT8RX1piePr1DXz39j79TIQ1cfPvClwwfm2wcO7GPPngamKjypyiX70umzH
3vsG98cW3jpGHZ7i0VnYFDQVeC8xUURG3nBBdel0Jrr7rrx9970L/6PTx268RqsKOU2oZp7yvarhqx
sisSQWLor7EUKv0OGEL7S/YUU6RsoL4hTQ5wURFFGnEJaEyhtCcEipdgxtRVVyAjD2WPn5MyGE8nO6
R6ErhJgS5g8GZHM7pn+lOm1j6yY/k9ngwzXGyB8YIYWg1xQGMtmv8fWoMfmYJuQRiy018bueu39H5M
y+fjK6hZbvYyVrU1OnllgYWn56jPnzr63Z/a+N7f5VYiI2vh+0pEcHxLWVzp4sYV1EYVVJHGd0Vqdt
O9peEVLJtSKiHEUUkoSytnRKUmmAjJSeFmyFIQrXQucKhOelCj3N0EIVqRk7MBBZg7u783fcN3fNW6
/7dfZv/fv0XGJhleO38Ojr5Ix7hAIwvez+Ia2eWJ3XJO4JMUJDHeDpd1eIj2Mth6OrrtmcMWe2c7Ku
P/RlTMLbJ04i11t0xhYdAaiACMKullOHjm2hWdbFPQpysAOa4itwWqBEVCIQIEnrzxUdtmrVCOcwAw
GeBIatYTZiQlGxiZoNG8g67Zpry0/cGqh88D62qnfP3ps6bHx8RN/MDU9/t8OHZhbG2ulzI/UaYZB4
4knX/jX33z8SczqBZQ15L5yP9MxwQvyvMfi5hbLwJ6r9j/31h/7oQ9dcdMRgixDtSQO43IiNEpopCj
DkeXueLBdaLMSnhBM1S4ObQk1wkUEG5PGhiQ2aF2QJFCvS5IIlHAVxStUFILSRPiyutu13S7/G7cjB
g4IvBDoWIGFuBWz79DeDwlv7l04fuamTq9PGicsbbYRGx16eY/17gar3XWWtlbp+Iz0+Cgn2yv/ujU
986tnL6z22n17w3Zm/+X6eu/HVVI/UJgR6hP7acjS38X5jPXVRVa3umxs9xg4S4ak188IqaKW1onzD
JV7oqDRSjMWRdX2WiGjCBJJUIJcljtQiox6JEmiMhOjbzJcsIhIoiKNP7CHvXfewewdd36Z/Xs/Q6v
xHYQEF7BSlmLNIeGimv3F7iFdfB+Lb+hfuds0dvcH8jtlGRG0xOOQRVFQTx4hnXlk5g33f7Z2auFjS
XP0dZtPH20Mzq2QVC+OwxOkJJeBgXP0Q0HXZaXhrTHYYMgU9KyhXxT0RCDDVlkJ5YLZhdLuQMcxuSm
t17c3N9jaWKeWJAzyjEbSojVVQ9oBSgac7d+ztNS559z51d959PGnnhodrf3heE3/Pw1RvPelxx9tP
XdqCd3v4vMes2mEzQtGR0fBCzpZn5XMMLVnmrvf9taPvPrtb/PJ1Dg9a9C6thPWqVS0wzIqCfbye/T
yHsiro6sA4urULW/NcoYboJRBi6LM5o1A6aFr9CvM/sTlXqdlJTZ3LZJ8dXQNvU9D5b8dEFFEPFb3j
dGxj3gd/e1WzyB7jni9YHvQYWVzhdXeKhuDLdYGm3RdhktiXri42Jrad7C72S2WonR8fmRkDp1OMju
zD9Bs2IQ8H9DpbLK5scy5c8c5f+YUnc4WUsB2aLM90BRhCpHUEap0IsidIE4EDSJcGHrrSNAR6IBxh
pAbkgBaxeg4wYaCbihwUUx9coT65Hj30Nvf8HezV13xa+w/8E3SuFy1VWwuVBXeMgyX8t+DhKK+j8W
3U/yvFJuKS21pDpgqe7VAIGOBkIZISKxoPdI4fMUv7Ze1drM2+p6t5gn6Z5cYrKzR6/UYCInxUBSGL
DfkpsA7h8XgsPSFpBMK+nj6oQwo2Z3EQ+U5Yge9yrouZmnxHNZ4Zmb2MDmT4MfGaTVToliSpglWxRi
ZYAK0B93b2oPt207b/qdD1qHbCfjpq+i2N+isr9KxA7quoNUuVzCZtwShefX9D37mwR/8sa+N7jlAo
cvtaJlcDtFw82ov6QEvfWK96/AqsccgKsRZlsigji1RYlGJQyJIdFQaIklLEmuSeOguuptZcinJ1Q+
PAOHB65KzuSNZlEBR2dh7HA6PR3uHiGvM7N/7tX7PfGZpZfPDLzz7EubiKpvtTTb7m+TC4FIQTU1ja
hLVbFAfn6Q2MY5qRfON5gyNxgzOxOSZZ21thbX2NlvtDdbWl9jcWmZtbQGzdgGybXyw1HTM+HyT+nR
CcI4iLlCRwQoFqSh9aaTYSRKVPiBdifIGF0jjlBAEnTxnIC22VWfk4BwHbr6G+cMH/zS+587foTXyF
FqXaySlsKoE2iSXi6hF+F+XCPhPKr5hVK8YBi76sLN/kG4YKlruV4oqxDIiQmpVtYdNI0cbj6ZXjz4
6Pzb72dG5/f924cnnX7f6zPPNjYXzmFDuzYrc43JbriUEmEgw8NDH0cfRw5GhyAjlMlqU/J7Z+Wmmp
ma+luXm9ReX1xlkjvbmKu2NDc6efpnxkQ5jI03Gx8eZnZ1lZn6OWrNBiGNarRbpSJPcW/J8QNZtMzq
1h/1X3sz6hUV67S3WF49iLq6w5gy2yHFopqenOodvv+8TM1deR89FeClLVkxF89A7ySRcXmhi11ch2
GmgQ3XzhaEZr+4TdB90j0jFNGp10jhBS0sUlfYFWqvv8V0NjW5LHqPE4UPzslM0EHHJe82WDasOl1y
jmoL6RPSJQnXff271ROv0C89TeEfaqtGaHqMxOUJrZoKxuRnikRGCroFISVyMtbC+tkKv41ld2uT8+
UWK7jprG6usbyxBvlUC+DXB7IEx5qcmeM2tt27ftO+K/3cklw8tPXPi79r99rJ2zA7jybJQtsZKCax
z+J5BKkEsA4oIGSS5s7hEE81NM3vtoe78bdd+ffbGa36N+Zl/IB2BuHzeXmg8ijx4nCvpj1oMxyouy
6T436L4dkaUncK7/Ea0hSOOy+bUIHDBVQi3onCGhqpRmAKlJGrf3kfrU1P/cWZsdK072nx/fOocRx9
7EhEGBDK8E1gvKKSgB/S1p+ctfSwZkOPISk/qHSLrvgP7/9t7fuzHf+Tw4StrR186+S+OHT/9/nNnl
968cH5ZdvsZ7c4ZNhdzTp+D1tg4k1Oz1OojpCPjjE5PMTY9h0wSarUacdKildRIhMDbGlNTMHNoP4s
LZ9lYW6O3vYG1GeP7Z3916vDVGzZOMdUtF1fPKSkRd0zXEzVk1eyZCnSRpXJiZzCLKwv24T7SIvFYB
tjQQdJDSkkUxWitKUUHsiS+7xC69I7RbbjMkLFSk1f/qRue7jvDYIwkJs8z4qj0R+22l1i6cI7jx17
ceHnp8V/rydO/NH/jDHEtZXJ2htHpKYyUFEJAHJMHgR0UbHc7FLlgdWmT5cU18oFje6PL+vomorOMk
I6JkRozh+bZe2CaK686sH7zLdf92ZGrDj90xdz8tw7vu4LNl07z1e1ttpeWvyGK8MMiSKy0ZMZQRxA
FhcsNIc9K4XMSQSzpmRw/EtPYO83+O2+0h+679b9G1x3+HKO1p0vLCE0QEuMcQVc5vUIi9K6iC7u44
GL3QfXPh7jof2rTGYZxwzJclmwqBNQjtQN+yF18NUnZi3vjUaqBkx6LtKKePDF2+60fODI7/18G55b
+7WbhH1x8+oVmZ6tLxwuM1Kxsr+EixcBZOi6jR2VgFMr1glQRloAQnkMHr3jkne/6ASbGJgevfeDBP
+l2sz85dux0dPr0ubedOHnq/U8ce+btx4+fiBbPLrHR6bDRuQjGQ22E1vgUoxMztFqjjI9PMDM1C3G
d7cJS03UipQlxwTWTY1xcvoB3BUoYrMkOfv2Rb9x2eunUUzfeeB1HrrmKvXvmqKsEbwzBOKJmCs4Tc
JgwQAWPFgkylETzAMgoYmAlKI0SUVkMpoOQEuMKmmkEQmHMAKUkWkOcSGr1qPRWHapFUHgPWpdB1LJ
KRaJ66XYsDytrA1kRkK0JBOdpdzdZWDzOiy8+rk+eePat65vn3+9s/917r4EknmNkbIxac4yB8XQ6A
wqnybqWzfYaKxc3ubC4ysZam/Zmu7QkGBSopIbLB0zXNVdecxW33HLD8m133vQnt9554x8evmr/d5o
jdSIt0dUYOj45xp5985xLjj4SJ+6H6yHFDzxWBApnsXlGZD31OCGSgqCgiBWmmbLntmt7+++8/m/nb
7vuVzly+FtEYIUlyARdcUu0luyW2Yldxk2XuSMKf8lWAtBCfz+LT0OZsBwAACAASURBVO4C6OR3X8k
Vy0eLS9KKy0pXVU7TSPLq98tljJyb+VYtTj/xwI//yPIL84984JmH/0Ff+PZ36Pc6yKRGUJCZHoUKZ
Uiq8NhwSQ3lQ+nVUavVnoiiiFotIY5rjI6NMT42YW699dYvb21tf/l1qyfEyydPv/npp154/wsvHH3
nyRPnaqvLq9Bfp2N7dJZPQdqg0RhhrDVGo9ZgtD7C9OQMzVqTYiynNdJgZn6MRiPFu5yLFxc+uLm98
sH8+MbaqZef+dMn5qb/4ODeuUdvue56rjl8iInREZAZOEvh4lICJFRJYneXoGxvIdEjFH6AcwKtU6Q
MxFGLOB1FiII0rSNVjoo0JbuvVHsMD0Yty1iXIcteCHBWY51ExhBH2U6RImUVVhLobm+y3d7g1Omj6
cLiyXecWzj2gazYeHNaD+rA5BhC1ksdpWtQmIIts06/71la22Zpqc3S8hbrGz02ltfRSQOfG+j10El
C1AwcuXqe+bm5hfvvvvu/XnPN1V+45rorn5+fn2Z0cgQdicpzRV6SBkQNmvVxmvHIE9guFBKdg0sCk
VQI4bG2oGMLRCTQtQQ50eSmN93P3juv+0Lj0PxnmRp5lnjIolQ77BO5SyrmX7ETF2E3HdrvYMPhu0j
S36dVw3fZSO/OFReXO36JV0C0QVyea7BjixIlPp6dfrIxOf3B21utz4/tm/93anz0nc889i3a5xdLG
7gKXDGVM/LQor1UYghirZnfu+epVqtFHMc7XLE4UdSbMSOjNSbm6uGuG2/56psfeP1XT718nmeff+n
BZ5958f3PPPfsu86cOTOy3RlAb5teb4neWrn3iZMmzeYIWseM7m0wOTnJ2HiLOJqjXo+ZnEgBSz2RU
4TiQ93txQ+9uH6qvXr++S+9MD350L75mW9cd/XVzMzMYNIDpPX6DkkhVEz44QtgHChZYyj+Fq5OsC0
a0Tyx6BPEFkJb0toE9foqOkqRsgyNNDsuARWNbXgQStCilL04u47SCikdLu+ytrXC8vK55vnFUz+wt
r70gU5n6w29bItaU7N/dpLmSIPBYMDqxjqD7ja9osfLp86yeH6N7e2C9dWM9Y2MPJMEp6BnsEWAIie
txdx5+w0vH7n6ii/ed++df3TjTTccn5o7zOzMVBnuWSVeWG8qdU5StpBCQZQwPbqXqdbsU73gifqO2
GhMVAJDSil8GmGFIY8CphbwNcc9Nx2mcfdNn2a0dtxgCaJE5/WuOOxKo11BguzkMu20mrtjsnc17+H
7XXy73S3DK6/of6QAd/9V+HKBLQQkHpy85MNTAF4GWlfs/9at81Mfj0brt6/3t/adv7hE3s/QaBxmJ
+bYV6o77yAIQZrUj05MTPWVkJVdXUnKds6XangEYyKFNGJyb4srpvdy1/W3fX3xgaWvv/jSS5w8ffy
+xx9/5H3PvPD0BxeXzmNMBh4Ku83G5jIIRS+vsbVcZ2SsxfbqNKNjLWq1mPGJBs36CM36CIn2mKw76
oreB86eu/CBhQXbu7D0/F/MTE19ft+1b/ofY2MjjLeaxLpGpMZRjO1wu6X3BEcVTVbmkrh+naLXoL2
+jXAdlhZ7LC4atrZAKEGeS3xQpFGCD+Hy5z/EzN2AYDJULZB1lllcOjW2sPDSD62tnXp/P1u93/suQ
lqmZmtMyZg4aaCUZqvdZXFxk6XlLfqDghdefpGzZ5dYXytv6iIHBiXpWuk6KkkYa7U4dPB6Xv/gA2u
ve/C+qw7u38P8/DSjo02sGi3hpgB5btBaInVSuh8gLr2UacTY2Axjo9N9o7eOCt87EoVSHeO9x0ooE
uhJWHV9VrbX6YQVbgldZurymiA5bquSqg13qu5SjyleEYR2ufHoP3bdhO/zzRfkZWyl3Q57Qrxi9fA
9UCJZ/fIYiHfxTi1gfcmxyhWkrfTZycP7fj2ZGvm/iygwoKBGhA/msotWUjLbhZDU6/WjY2Nj5e0aP
EKVLIgkKsvbq5I9P0w3kQHGR2PGxw9y7aGD9Af3PnL3rdc883v/5Xc++HebC2wYhxXVHR2AOCZb79B
fg/5GnfbKMkktpjnaYHZ6nK2pcQ7sn2ZyrEE9UaSNFm5E0h+0G2tbF378/PLJH3/66GI+PTP+36++8
tDnrzx09Vdnpw5aFfcp7QgCWmsICmvqmFxRdGFrpWD9fM75hSWeV4ssnF3h9Ol1Tp2FsdU2Dz/83Pv
m5q//g9vvugPnHPVGRc4OWVV8A5xbY9Dbmt5eXfvhxYVT7zt16vm7tzrnSZOc0TFNrS6QKqI/6OGCo
b9tWN/YZPFCxulTm7x8ZoWVi1t0Bz0626Wdu1YQm7KbSVSCkopmrcnYSJMH7r2Hn/5X75u64urDDXz
RQ4nyMCuFHThf2l8oLXa+/1C9R7p6O3WrTjrSgISjVtojTnu8lmTK03OG9aLNUrbF6d4qS7ZLv6l5V
96lr/wVEo+uIt7kUB1+WZHJaq96qcFUwxMwfPeF879F23k5ZeLy61hcsur/7gV89fdoqKOrwiSrC6k
0862gOOMNuXf0XX5gc7DNZtEruZvSs5u5WAbUKowrJTfNZvPE3Mxs+QIPBY/Bl0bTrtzkxPjSrirVl
z6jgyiF0doYN191xR2TiSYtchpF1Rqb8uVI8AgfkWOwnQFbnRyLI04jVhcuMjZWZ3VxhumpJiMjmun
JJhNTNUbHRhmbaJQyKhuSbLD87hPHTr373KlH3MTI7Ffn5654aP+Bq/5ydn5PHpxCqEl0JBlsxZw7u
f6+Yy+8+InzL69z8WKPMxcdFy4Etjuj+HyEtYuCL/3pNx5aXOp+4i1vPfWJt7ztwT+opSCUJ7BJ0W3
vLfLVH93YPPuT2+2Lt1y4eA5vc0bHDXv2TVNLFcFl9Lpdup0+vU5gfX2b4ycv8sKLy5xbyNnahn4Gh
amCeT3UY0FCSpABrWLiuNRopxq6G+t0NjcIzmOy4o4gwzdiFaMjTSgMMopKBLwM5qms7cMO8dsIqEV
gmwI/IrBNfyKvDcBAB4P1sFJsc3Z7hVOdiyzQZgDEssF6dxN8OCC8Q8uojKCuXjkpL38fPfKy1zl8r
/ui2qSpf+aNwz+t+Pylt19cdiL4S9zd6id38+GGp4by5pJLkKgwJlFZaAuB84ZUlgLefNDbu97eoJA
Op6BT6XEqDyakkAQpwXmEkNRqjTPNZhMlSoUxIlSaMkmky3jHPvmO7AjKYEYtS8UB3rG6sHDT4OI6z
aK0LweQKiV3noYcxU02Wd/cQKYpmTVsFz18rtjM+mytdVk4tcT4WDkH7t0/xtyeUabnxzh81X4mJkd
I9AqtCVcJiQfKmrNvP39h6e0Xlr4DSv3Nddff9tDE+OEvx/qK7qmj+W8//a1zH37hmaOcO32WfrfN4
oVxCFOMt2qMjyiMz1nfXOSr/9/Dh86eO/VQWnd33HTT4U/t2TPynnyw8hPd7YXrev8/e28eZFl213d
+zna3t+XLvaqylt6rW71Uq1d1awGEBwxjjywghmHMIDuMgcByGBs8eBx2yGMTMTM2HhxjkOzANjMsM
RgBZgsQGgNSIwn13tXd1VXVtee+v/fyrffec878ce/LzKpuCUd4PN0KkREvKpeot9x7fuf8lu8yWKL
bXWTQ32VqtpSKFwEuy2ltt1hd3GJ9tUOv63j55cv0hpJW27K5k7HdglEOKjBMNCocCef+OE3T9wdGE
5mALB0yGgwZjQaMRiPae216bsTlSxdZW17h6InjD0Rx5fPjMsHIHGx+SD2ghCOoAmMzAtCOWEhs3eG
aYCfsteFOn7yfsdTrs5cPWOu3WU53WKdLD8g1BFqxurQMg/SYiRQm8IxGGSqMsLqENLiDscHbnWbqM
IjkluRTinfLyecPg+VvPr4p0RWHc+rxB1V5IYJUtENLJUc7jqjCghmpIE3Za7fmBqM+1WaNkRG0W32
w5aknCx0RJwrOthCCIAiWwjBESllAj3A4Z0u2uEdqTZe05FJ5BJ5QF0aYWPC7exgv7mlGFU5OzpLuD
Rn2U4QvEBAVl7CRS7Q3NKqTv6LC8H8cefs9Toq/vNtpnR72O0hl6e7t0dpJ2d7pcOkaRBU4crxOc6r
BfSeGLCxMc+zoJNVKiJYBAkGajuin+TdfvvLcN19XN8gHF7l6znLp9T1uXFpjdWmJne01dtNTzM0cp
RrXccozOVNlPj3O5evPcf3aDf7X/+1/+fif+3OPfvz9T72HxoRDqxZJPGB6VhKGEwzyFbrtAZubfTZ
X+yxe3uXSG1tcuQQ7m5Bn0NqDYQZBBWanZ5icnfuPR46f+Ln5o0f+wx3Jfd2rVy//++Wlxe/a3d6i3
RthhynSe2Kj6Q9HVGSITUfs7e1hrb/HAcMyTd0PPJsVR5E0Bal2DJaAEhdbKPlTBVdjKYtysnzE6uo
2W3mbFbbZJScTGieL589bHXa3ttGOuUiWGFDn9/VUUqB2iAT7pzZRbmkminca24l565Por0JcuhV3M
QhLzRLvUGMjEqVASJwQ5ELhbYFXbLf3pqYDhYwcw05BXbniCkJ4Xzr6mcPbLg0KNbOqyNddGLBrYoL
CewiZF7o6Vhe7amwDjBKFjK/N8dLhhGIoc3zg2N1Zv23OpcwkhnDQxgQZg1GfAZJBugdpyAX6zB+7/
eX7v+cjVzdC9RO91P7E6sVrxzbPX/3u/vrm965vrD60trfJVs+BNYgduL6UEqs2F051OHHMc9eddU4
en2J2JmKmCRNVmG5W6bfg9bNXWFpc5Nqi4/zlHa5vbrLSWgfbh6CBVnWkrDNXn6GuYDKZZP7Ox9ncW
eXcyy/xu5tfpOL2+IvfcTuzM22E7ZD3HNuX21zdqXJ9cYerVzdYXGlzY7HP4ir0BmCMIXOG6YVj9vT
xE585fnzh3915x22/ffr03cOTp47RbNQRnYw/+n3xssr4rqgXY7KQCd8kiCzejNgx2+QRjPp7LC/dQ
OX5bcpBRQBZjg+H44ofV64cAcTOEXtLb9CnUp0oHKNVHTVznFbl3PpVUtY3r/J74TJeAVagbIzwAmE
1FZmBcOSjIRutralKs1kIZgRh4RBcME6h9AlRXw2mKfgvhyv7z0W4/Jf8kqJUf7IZWTZq2jxFSAhDi
KpwNC8pJLlHSchGB7iOahRsBao4PeW+QdXhwtnhyjRHlSh+xFjavGjOxHF8LI5jdLVGDU9NaJwvZpF
D59lZ7rGXRzx05sHz3/YX/iL5/DRDB7tLG8ujle2fXH7z0k8u3bg2e+76he+6tr32fVt7rcd2d3fp7
XQYDoe8eQHWl7a4cWWL4wvTHJmvcmQu4MTRCeanpxB5he3tISsrPa5dGbC81KY9SBE+xlRrNJLbmGr
OUw/qxIkhCD2GiDCcxVrDyaOW9uASb15a49q1GsNhl531RVavbLJ6o8XrK0O2tmBzq7CH9wLmZivMz
N2ZTs+e/J0773rg380fOf67p06dyo8cOcL0VJPGRIUg0IUO6F7GiRM3zu8ud8jbHruXkfY1Uo8YCk8
tqjKSRbMryzKstccO0ypECTR/W6apEERRVBiT5IIgKBoyu7vbW6urS+x0NshVCcn0viQdKxwZ1lncC
IbDIaPRqOkK0We8EwcqUuLds87fkeC7iYh7uC1++O+iFN+xeRWbE0iBiTVS5xjdoO8yonzA0FqGXRj
0YOSgEYh2oosdTpSOemNFMC0sFouUJVMAhRB2H4blhS/k8Kyb0UJidOEJUNUhQmkyGTD04NqSyiCnF
iXXZiencI0ZUiRHGzNU7xb4xx5je3tz4/rm4k8v7Wz+9Hprq7m6vPodS1evf9/26ub7r1z9Mq1Wi5X
ljNXlLaJgi4k6LByBhSMzVKMpdtYkmxsxi4tDNlspQyRBOMVko0mzcpJGtU4sFFoWAsJOCjRVjA6p1
yTrO2u8dnaNuN6iVt1me7XD5jK0N2AYFUSA6emIqdnj/WPH7/7NE6fu/3cnTp7+7NTMgp87cpx6Y4p
ms0kYjMm++T5KRmQB1Wr1mkDhnCP1tpDmS0f0bI8hPfbsCD/ssbi4yNbuzkxSqyKDoEAU7LfLvkKmp
DXWOryXBKEmy4esbyy31zaW8GRUwyJzFbYAxAkh8V6TYbES8mxEno2qztqbrMtK3fp3TQC+K08+50G
4IiMXzsZ4i5aeJNAEypJoqEpNQkiGI69Z0m7Ods9T07ZXlQ5TMun0GB3si7mOOkS88RSuQXCzB7tWq
hFHAZVanQmhqMqCIJypEO0gPtKg09ZMJNU17Rx9NySXIYFUBRXMx8wmC0ydmOdeMoY22+22Oz+7sbz
+s1sra9XV1T//keXl5b9y9erVb1peucH29iK9vRXevJJz9compJuQV9BygV43AKoYAiJVoxbNUw2bR
CpAuCHWZmQ+I88dLhe0O46dHY+zk+zs7PLFL95ASks1grn6BCdOzTBzx5H23Nz8rx+/7c6fO3Hizs/
NHb2N5vQxKtVJtEkwYbzfKMvzDOsytCzk1kubNpKkumbxpM4zSlMyl+N8TppldO2AvWwAuWZzc5PRa
NQQquzOGQ0+Rwh1kx/iPhrDg3dF098EApdBng4Y9Ns9QUoFqGpIbSFhIRghUUhVQOl8AMpbJC4uOuk
HXvE36df/WfB9hZOxBB3afEQ2Ghg7GqCcxUhPJBXOD4gDRSg8TkJQiRANw+pOj4nAp5HICEgLFAxmn
04gfCFbsd8A8qWr7FjcxxX/uiyPA22oV6rUECSZxXmJMSFGSAZ9x0Slxky10ZImIpGmWAAcKBQLrVB
SFKYdQcRE0uDo1FHS2/vd0YBf6PeHv7C1sx2tr6/+hc3tpb+ysvbmt1y99LpcWrzGm69fZXsrx7k9Y
JaECXTSIKomJGqSSmSItMDnpYU2MEhH9PYGbG0N2On0cDJmonqS6ckppudy7r3rju37Tz/66bmpkz8
3vTD9J41Gg8bENFG1igkSZBABhsz5cfe/uHraoPCF0psohG+F0CSVWguhyF2hJGfTEdYPGdi0ICS5o
tHVardJ0zQ+cK+9qZ94SxOvtChwbv9zCeGJEkVzKkk7kyF6NKIZF6OIXIIvx1VeOLwez3EzvHVGlCO
C/fGC//+4Xfk1nXaOZxH+rQ0ai8NmKaNhT9pRH+1yYiWIPQhbOBNpmeEE1KOAOIiQ1jKZKBeSgstQt
wJgvS3HDmX24YoxhBcl87vEYgkhVKACwiBA9wdQWn0hLFIWEnXGC5T1Q/ojbGSQiS4oVN4ThuqQXY/
EOYdRGm0UQSOgWoEpBcdPzg/7w/f8Sub6v9If7OqVlWvftnzj+sf++A+/8Jd+97c+z5Vr24QIavUqj
eYcYaVKGCdEwQCtDHme461gaHP2eh3ae3tsd9qMrMd7S6N5nA9+8CGeeOruR267febFo3OzNBuTiKC
+Lw6MAGc9zolCeFkKsnLxj2FXGlkqr/nSqVUQBNEwy3L6o5R2v0uWDnB2jx5tEClDn0FqabVaDNORy
qxHK4/NHVp/FWUhIZFS7KujC5EzMVHlxPFZN1iu0VkfMV0R+FDhrMbnisw6BvmQkacAROQp3qbS2xz
MAbZYiP8fuihfC8H31nDztzRdCtGhUEoXBkbFpjBc0i4nMuBkhpQeHUqaMWjl6RpHM1JSZanFu0ODf
nnAxBjvu4eEcguq3QEQdao5aZuNCV3Pc+JhirICm4MzEVZqajM1er1dEl1IjRlbbCR5eYNH1hXS8hQ
2yNJLcMVJJXJ3MGKRECYQqYTqRJLPzE3/5ul73/ObSdxMX33tqlld3aOWxDRqMfVaQlSto1WEFKsIn
2BTT5p5+r09dtsb9Ifb9OwODk1gakxOz/PQg9+Yvu+pR16caAKqg9AO0gLQ7csY8FIU7lilvfOYh+i
xBZy4hFspoUrfdUUQhIVIrfeFdLzR5EIXU4Ryqi100XARQlhT8ueULtJODgHy3a1dx3JDdi5HkhMGj
lpDy0bDwBBy5fHCgpQ4KRiMUpwvMhohi9peFrnrLeNpf8tI/es47RRv94PwJfzOEQQBSSXKGpVE6Sz
ADPv4HMIIrPAYA9XEUEs0djQicBmR8oH0+WAfn7evfFtKoXAg8SZ8aYBZOhX5EvVtgnCgg7AmS/dcJ
TU6NIggJpUa1/fY1EKaR1j6lIZjY0NItY9qtkUjXch97wSMBF22GIVCCkXmLLm1COmI4oTmdHM5jM2
pSlUzORkTKAkiQ3pXdGj9XuE/kEuGfUervUer0yL1O+Rsk+NoVCJmZhs0J2dX4rhgdWXCIRgVkhPuQ
CO4PKCLsYsYa74ckspDgvM4Uaa5qSfPXNQbjhilOTkCYwKE0Phc7s/UpPeMRiPSNB1kuUUbhfPuEMD
hoATz4mBDtNYihCqV8SxZ3sfZXhAmOdNTAm8F3ilsLsjSgiAsFEQKbChLIxmZqbdTzxbvnrNPviOv6
r9CoScL9rtzrqjHrCXQauBdTiUMMEpST1Thg+EhCQXKpTRCzWQlYrZZZbZRqwibg1TkWRmA5UnjRKH
FaG0ZeGIs++1w3iGEAiXxUrTjSo3cK4TUmDCiWmugg4ikUsO6Yh6mvZqgnxap5bDQUyn454VXRKG/6
Q+5Ro5Bghn4FOdHeDKkLNgYRhZ2zWEcvrBwfBbr+vT7WzQahuZETCVJUELjc0E6yun19mh1dukN+gz
SId2sS8aQZjPg+Kk6tYZAB/aFKC5eV8kAhy9ItJKbFJcFoJVEF0rB+9A959x+MEipca6QpVhdXptIR
zn9NGOYpfSyEb10yJCUgS2A74M0p1avoLVuj2u+fIxsGm9+4hbWi/cHgectUnlq1Yjp6WplomEwxpM
YT6QzarEj0hnVGOamJBM1qFc0jVqMkG5QKKEfBLgUEv8uOvnekeAT4qvnoUoqhJLk3uGc6zqXY7O8u
BkelBKEBiItCRWE0hIrT6QELssaNktvfmI/dlySeGThOckBYxlf/L7gBSp0EG4KrZEmIEhqqCBBhTG
mUiv+jWOQimFvME+vD6lHe3lI23Gs1ywOlK+4BeNa8ujEWOChtEpz1nH82MJvve99j3Dq1CzIPrnbw
+YDbJrS2W2TD0N63ZxWe5et1jrbvQ32GGBRGJmwsHCM6ZmYkycjji8Ev4UowCSisI3cP/GKE2osoJT
DIaMAX/oXCiEK3Ut54P6Rjzzd7mA+yyzWwcg6Bnla2qod2EEbCXEYoaXaPLj3f4r+ni/YKO6QlqLSj
iD0jSSBWg2qMVQDSEJHNYZaFep1zUTD0GzEVBJDGOiuKY++cfA53l1f8p16UfW2AG2/D/cRJTYzDMP
dMAyRCoxUKAmqtKsKjcEoMMITKQiFJe3vTbs0KyDzohjmukMXP983Az1UCYiCjmRlaQRpgmVfmANgk
mrhU65DVJQgggpBtYpUIb3e4BS7e+Vr6QMW9L7dZqnjViLn3RhLno/tV1RZcxaSgqE0GKWpJcH/ee/
dJzdPnprC21263XWs7xIYTxgG5KMq3U5Gp9ein25jGaAJiMUkE/UjTDdnmJk0LCxI5uaHn1a6j6eHw
CCo4USGF7cGXAHBE5Spsh+feGJfmGlcRWWDjN3N3VODQeGjMXIZgzzDygJDK8vucagVlUoFpdTy+Jo
L+dWXnBfjgU+JzZWFGUwSi+l6TVFvQC1RVCqCJIZKpQi+Rl1Tr2uqNUO9GpGEwS5S3hTo/yWEb7/ma
j75dk0XX8jcHZ63KW2o1+vbExMTyLRFYAO0A2MkJlZEgUD5jFB6QiGpGEVn1J8bDfrgCgHew3g8dQg
Tvs9WFjdnw1ZIZBhfVXEFGUUYHRU6MmhMWMU5j6poVNJilNnTg96AOBf7SF0v3Fvhup6SWSHJAenDf
VrW2BNCjmXbsUg/JFDDmePHEs4GHW4svki7NWSyYVFimtZOznZnk/ZgkwEtCvnYKlLH1KoRlcQwN6u
Jky36o3O/VPXZfxMGM0AFn0uUtrfsfGOe9sGpJYXCy4PAs9bjfdFAGg1Strd3Tw/6I1Jryy1mHLqFC
JHNc5RS1Ks1IhNcVWpcFY8Vlt9uEbj9X+43wZ1FSEtg/FycSORIk0rDaMg+CdkpUJEjt4VLUBQbtJH
bX7nB92cNl6+Yerr9FghESWU9jivk0qB1EXxRpIliQxBZAm+JjSIS0EhC+riFbNgDm6O0vAkbWwR9X
uIK2S84itpMlsEHYaV6oT45SbaxjcwsKgebK4hibOrQCVQbEzgdnEmHGXG5Y4jcj12kkftLeXy6Kmz
J5RSl37uzkDtbaIcIifcjhN2j01784V73Oo8+ukCrfTv/z2fPs9u6QKeTUq0cZ9CpszfcwIkO3u/hh
CUOKkw2a9x9ep57Toc8+LChUt1kdfmLfzGJ/Q9X6+ankRW0CN8m4yvO6XF+JoS6CUDsfclHkID09Dt
ddrZ2zwwGRcNFK03qJNZ7LA4jZUGUDgImJyYIw/DCzXxU9zaoSsdbUlPAW4u1GUK6hTAQiAgSYVDag
RdI47ACZCTJRoU6tQkEQrA+Fsa5yar6Jjfir9dRg//KfZiiVyhL8Vu1LJXC+nL2JFTR7NASLSyhURj
h0DhiExBJfyrr7UE+hKBseZdiHbJEuAh/06xhv9O5byITRq82ZmZoL63A3gAVV3ApOB2Q+2JxRY0GA
62fHHQHNEYpuAqoAmCe75/fHJLS8GV9JQ/SYO8Q5GglEMKSDzqMeivvWbzx4r+0bpWHH54jTB5mY2u
RZ7/co9O6xGDUJc+n6bOOEF10YDEG4kgRVTOakzkPnJnjsccrpOkNdttX2N1q/kujJv4oTOLXURM33
XaBKsEGB8FXSLvIg8ATrrB7do4sT1ldWWdna/vJ4XDIcDhEmgDlMvK8tx+xWkOtVmN+fp5qUnl17Mx
0kx/0ftXjbi4DxaHupLd4lyOlO6WNgFAgrcUgC689U5zbBIqRKHC7URSitVweP2nJLHtXdTrfseArU
i3PLcXXWy6Ml4IwjG/EcYVMBwQ+LAwy1Njt1JWdT1v40qmAQKq7RoMejEYQpQU73BYkTbGv+RCpogA
AIABJREFU/hK+5UX3hfUEiEC/0JiaZhAn5L0RYRiRCY9TpkB6KEUQJ3T6g+M7Ozv3zXd655hrFt1ac
3PDYjzu8OVRMtab8SWKR2kQwuLzPq2dRbbXz//aXmeRRn3EKN/C+WV00MPEcM/CJLXkGJ5prq/sEVY
TGtOTTE+eJB8GrCxe5Prys7T27sIyT3MqLwSG2ssI3vy12SPVe4KKw7s5xs7AeHGoDzROMQ+QEM45l
CpSRetS2u1drl+7dt/29u7x4TBlMBghRPG5rHcYrXEuIwoDZianOHbkKNVq9YXieR1Cy1tOO/n262O
M7XUO7x1KiruiUOHSAG0NJvDoIECnKZn3OK0JpcUTUK0mhJG5wf4Gwj64gq/3Od9N2Na3QZqPZTaMC
qhUKleq1SppFKFlisodWhYSgUIUkgtKgHSeQCtCqU7naVrkdM4f+Ao6QLmipym+yuRDgNRhL6rXnw+
TyqNCddHaEErIlEFLCp86IRmMhrR2O9867HbPRbkFLYq/SV92zcvk2XNw/OKRWpT1ngORF/qYnW1WV
678qxtXz949N2epVjwvvPIlXnn1DVp7cPwkfN//8N/z4P0f/kJ/aI699Orzp5zM0mMn71g5ceL+F1Y
Xt5779P/9s5+4ce13o2dfuMLxk6d575nbqdciNtZ2SNOlu6v1o/8qCNUPeDFfSNU73gJq520RWMUFT
NMh7c4ua2tr39rf65JlGWmaQiD3RzZKKWzmMCakXq8zOTn5fBRFPcqxhWYs3aBuOvXcIQsC5zjolZT
mMkqp08YYfKiJCREl+yFNDakrRJVH5HgfkFQiVBheKe2a3irJ8vUcfKmEEIHIS2076UDZ8g0plJcYw
Mkqo2T6YrBwEn/tZaqjPpNpiwSL0Ak2jOk5zcgIKgkEPqeRbZ+WS+cSrl3o89BxkJJeVNzqyIXoVJI
GpVmjUCgUykOMA+eRzuJ9yiBUn8vvvv3RvSCm1e5SywRhmhMNU/biGdAJQS8jbw8/Mrix/s+j40dgr
o7MLanyBCpkLP0yppBpVfyYihYBFYYDB5kkSTTLN85+54U3f/Ov1yfbRJMxV9Y2WVp3PP88rC/Ct//
5v8wHHv/vvvO2k6d/tc0WJ2d2aeo+jfn3kMk72V44TRwOL/3Sp65/evH5F3lhokYQTnDi9pijJx071
5/jytk/+OsPnTn9Wdn8xKeFq+NJCjsyDY52KT9skNSQGLJ8SKwt3o4QvkKNGV54eYXnFrsf2RIJ7Wy
dIMgZDrdIyKkJR3fURaEZpJ6w2WTmtuOfs5FEkBMYRZ5l5Kbg8GknitvuKOaruksuhgyVIaSB0TGZ6
5LLi0kwsXTa9S2IBayyRMZhzAjLHmGWY1QNX2nSiG9n5ugDZLJ20UvPINujYirlri7Ah++aTod8R1/
9K7i+jAtkqSCO44tJkqSBidBBSBAnJElCHFcITIRSCi1VaREsMEqj8A+TDcCm+8+/70ki8v3BrvSH+
y5iv9gXUUJSq362UqsT1yqEcYWwkhAkFUyc4AVESUJjahpp9Ad2O+376PZBCLQxhaTdeLrrfIkNdfv
i3hLFKBuRJAFR4nn5xT8+8ual135+cqrB1NQM7c6Iy5fXef7ZC7R34cyZB3niqff965m56V81kSSKE
oIgwhgDQYCJQyYmAm677bZffeyxx/51pVrn1Vff4E++9CJr67vgAyq1CWwOZ18/9/OrK+ePONoInY1
RbuRekDmNJN6vWMc6OEIZEJLdrS6rq6v39fv9D0hZYFaF89TCGpGJEEJRD+pUq1WOHDnGfQ/cz9Tsz
GeVUiVOU2CMKQcxvrgnkkNqYqqUOlL7521u+1g3elhIhwkNcRLSbNap1RIqlZg4DjGRIUkSqtUqQRy
RJElqguCiQh1o+Yxr2ndR0feOBZ/jLXPwA4/NQ2lCEIVUqrVXTRjhhUIYgw6KoBOiMLwX3hagaTxae
mzafcx2d2DUBj/c/5CeFFRhcy39W4f9Qgi8KNOhKP5MUq+2giRBVyJ0kmAqFVQU44xBVRLiRg2nNOu
t3Y+12i2wviB5HkbtKwFGFWMUMYZshXib41yX5ZVzvHnl2U9nbjtqTlZxVvDa2at88ZlzPPvl4mmef
vrDFx5/4skfaE7VIQSlo2KGOV5MqtCDWji5wJPve/oHzjz02IX19TbPPPM6L750nrX1PaK4Sa0xQ6c
zjG6sPvfpwfAysE2WtwslOVFH+zoQo7wpEC9l17nQuRHcuHGDxcXrHxsNh8Um5cRYtIogCBBCUKvVm
Zqa4vjx4zz00EOtWq32GUqWw1tXQH4YZV8uR40UukTXFGBt5wePKe2JYk1cjWlMVAoScawxYWFZHcY
RSbWCMYYkSV6lvI/ysBOUeFeVfO9M8N0ceG9VvPbe77cegyCgVmu8bOK4sPnwpoRIFfWcQqBK5TMlP
Eo6+r3WU53tVRhsAz0UQwrPpBy0f1uUjUCUQ93SGlZJdBT/uqlUEHGCqMSISgyVCFOt4sMQmSTIJKa
f5z+42+kkfjjEubHmalnMloiCYi0U8zSbeeIoZHn5As8997v/aGSXn5qaMXT6O1y6tMTzz17m7MtF2
frwmQ/x8KNPf3Rmdr5QeZJ5oaGBwjqKBexSnC/QJHfeeTcf+sZv/eip2+5nawv+5EvneOXlK/R7gnp
9nonJOTZ3XnlqY+eVf+TcDYKgC+RID4E05MMD52gAlwtwmvZOl4sXriQrKys/2Nvr0u928d4ThiFKG
YwJqVarVKtVpqdnOXZ8gRMnTvy6EALrCnn6/Xu7P4axRckhDy9Hg9536+1j/R6IwVPaeII4IIwNYQQ
q8CgDKpSoQKEDgwkiTBChTfgy3iORCHeIuCvkn518b2lyeFl66ZTpjjroCUsTUWtOPp/UpsDEZMJgy
+6hlJIwMEShIdKa2BQP8vSDw84WpB2QA7QYIkixpAdpJrdsuuUfhBB4KcAE6Erll4N6nbBeR1Sq5FG
MjRNUNUHEAUGzQW1uFhGEtZ1252+1W3vFmWdBOFHIse/DyYoOqMcirKPf3eHNN1/4wOLyy/9QBy1U0
GNp6Qavnr3E66/32NmG0/few3/1rf/t37jzngfPCRPgpMOKHHyAkmGxoFVhDZX7YkzeaE7zwAOPnXv
6qW/5G82JSV5/zfLl5y5y5foO3b6nUptFBzssLj/3D7d2X/uAEB1gSDYqHKZiU7x/l5fluAjJB5LrV
ze4dOnq39rYWq912x12t3cQOOIwwmY5xhimp6ep1Ko0mhOcPHWKI0eP/vL4RCyCz92y6HJgdJDqeIM
kLIW3MqANooNUow8GgSQIFTpQxXglcJgAwlgT1xJ0FKLCgEq9ThTFz+M91tt9rua7iEP7zgbfPp31r
av/pmGrLzg6VOuNL9eaU4i4RiZD8nIZSykwRhEbXULNCumHJFRz2ajzKKM2uAGSERJHZn3hYeD9/g7
8dpvCPus6jD4TNOrng2YDl0TkUUAWB+QSRBQS1+tUpyZRccz2TufH11bWJ7NuVliiydIkJs/BFZpcu
lQv8S7jueeeSc6ff/bTQdwnqmQMRi02N7d5440lrl8FEygeevCDv3H/g0/+9ERzFq80QhgKGSANsrB
GLi0A8SIvvA6ihOn5Uzz88Ad++s47HvmNzh68/tomr7x8haXVLlo3WVios7NzmVdf/6NPt/YuJLCHG
kvLl5msliCFRiDZ3cp58+LS5OrK5o93u12ydIjEkUQxUVRIvhtjqNSqxHFMc2qKe++99/zMzNxntCl
QB7mzZd13q0qmLaJ9vAK8RHpVBKVrg2s/qtVoLggVJtQIDVKN0JFHBA4dG6JqBWE0XhkmpqaJK7UvI
03RUBPyJnzn133a+Xap55hrJzgAY1pbcLaS2sRLjekju2FtChdWEabAiokyzSx8yMtdVUISB+SjvW+
huwODNti0kJPwGntoxufLhkgxEjiMrhmXH5qgVvs3wUQDWa2QxyGuEiNCg4wCbKBQcUhUrZJntra5s
vGJ9cVV6HPgxVeqtY7TrOFoj6tXXuONc8//Yq+3OTs9WwGRce3aNS5evMHFiyOUgofPfGjz8ce/4Xs
mp+bxSkPpI2cxxYkkA2wxiKOQTSzx+kJD0uT2Ox/iqff/199zzz13bW5uwzN//BovvXiRlfU9tNREs
WJx+cLsl5/9zC9urJ9D6UHB6csOBtM2g34bLl1c49xr1z/RaQ9qaZqSjQbUKgnVOMYoQRzHRElIFEU
0mk3uu+8+Hjjz8L8xUVgO7YtxwbjuEzd12Q7VfmPLMgfCD7D5Ls63v0UqSxBoTBCgAomOHHFFokKJD
DVhNcHpAK80UzNHdnUUv8T+ehIH91r82cnHzR6yb9cFLY02ZdEKM9UGyeTM58PGNCJpIEODCCTSlLo
issAcClU8jFHkw+632+4O9DowZjl4c0id/wBgLTw3nYSWwkfAKtBJ9ElTq+7JaoKoJahGlbhWxSQRO
YJcSiq1Okkck/WGH99d2vimvNWHgTsUyQ68Jx3s0dnZ5oWXPv9Dw3T3IzOzdRqNGp12j5devsBzz2+
wtAS33XYX3/hNf/67Hnn8ff1qfaJkXGhSK7EEKHWAQMHbW8FZ4AOmpk/w1NPf3H//+7/1u5QMeOlsh
z959jyvnL3G8mKHuenjJJHm3Lkvf+SNi1/4oe7wGkL00QE4nwMw7Fk2VoZcPr/yTdcurX2830uxmaO
7t0tgJFp5nLNUa0lhKprEzMzNct/979m7/c47PmmdY5QVxFkp5KG6j30FMz+OOH+wLIQHXA/vWnjX/
XZBgROVRiINhJEkSgwmlOhQEyQJ6BBhYmoTU58vLOkk3vp9ZgnvQqDnO0MpOvzC/nCna7/KL3oVRpB
lKeiA6WMLf2CDCn1ZqES7EuSL8OR5yjAbknkHWhHGAaGR7+vsrN5B3gPlwHqiMCoZE2IfMT+eOxzGE
7r9YTv4QPaIzL8QSYiqxqhaQrVeK+pCDSYJCMOQSlQhRpHu7v3UztKqREjIIB/2S3MKz/rKMl/8/Of
ufePCCz8TRpDUYhZvrPPqq1d5/rk2F87D9DQ8+eQ3/JMPfeM3f26i2SB3GbKkOykV4q0iyyDP80Ntd
I8qxRIRAUiwTrKwcBdPvf/Pfe7+B5/6J87C+Yu7nDu3xPK1nL2OZmZqgUo14MrVl37mued/+17LKsg
Web4L5HR2u3zhj5+XL714/qc67QFbGzsMBiNmmg2UsHibEoWKOA6IooBGo8bc3Bx3n77nX3T7/Z5Si
sAEN3WTnbVFiedFybIo9eUOS5/LDG9b2HzrDmz3fbIo/pFaIQOBI8X6DBMaknoDKw1htc7CiTuJk8Y
foCvgBEoeCMwqJf4s+N6263KLpEPhY1VeKKVBKWRS//1gYhIbVBAmAG0QsgBDS63QUYCMIrxRqEgSV
iTCD7+TwW6B8xS+8PF0tyJa3P57uHXsaAFXQG3+qYyClkxCZBygAo2OA3QcoLRGh5o4jEh0RGDFA6O
d7qdYb0N/hNYG8pyl61d57ewrvPHqq79WaWh0JOgPc65e3eDF56/z5oVC2Pf++x//0mNPPP0Pji4cJ
apEqNLk0LuS/+1LnIy3SO9KnNqYpHUw4tABRLHh9jvv4f0f/PA/uOPOO7/UasHZ167z+tltttYE2kw
yPTtL7tpcX37p164uPotnkzB27O3ucOHCm1y6cOVTm2ubDzgHRsfkuaNRj1HeEgaSiWYVoyXWpcwem
eV973+qNTM/908r1fgQUcnvk1jlTbo64/csbzbWsT2gA77znUKMSsU0jdAKYWyBYAkUXhU247nXoBJ
0Uiepzfz+fiGMRPh3K6fhHePz/SnIcun30ymhdLGz1Zvna3MLr/mkjgwiVBQhTFCkmkajkwqqGkOs0
RVFpaaQYu+7/d4qpK2igD9kqeS/ygU5LHbliu5DR8fBT+g4QEQGHQiCikHFBh9IlNbEcUxiQoyF1ur
G9y++eflvd9c3QSm6ey1efuVFXn311U922runZ+Ynsc5z7doGL7x0lddfg0EfTp48Mnr0sQ98x4NnH
qZar+83J6z3+6lTAQworKIPZmf6kAit3BdFcQLmjy7wwQ99M08++Q3fYQI9unChxzOfv8jLL6+ytWG
pV2eQWrKxdeX0y6/+wSevL72C911efP5P+OIzf/y311dXvr/X77KztclgMKCeNAi0Q4gUE0AlCanWI
hYWjnLmzIM89sSjP1Ft1jtSqQPTSSkPLCmFKIx0PHg/DpJb2s++hXdbCL/73YIRSsgi+JRHBUX9V3R
6NUIF5GicCgmixmsyqZ+HALzaDzzBuzPtfMf4fPJPAb0c7g1nAoKkxsT8wm+b+uX7ZRZjjEGZUiZAC
YgMMg6KeVokiBLBQHXPDPpLH0hGG89QP47wk6W68a2v7/Z3X/E2aBupwXn5z8jU9/hMPGyVRUqFQjN
yOVaUilxKYr2g096jPWz/5MZgd22O7i9d2bjGl5977qOt9vYPHpmfQZic1s6AS1fWuXhhh70unDjV5
Mmnv/l7n3j6g6szc3NF3WVBaUNui8G92Mc95nhXdka8Lh7i0NUt5N+K/6cEx0+c4IPf8OHVa9evfu/
nv/Af//2Fiy2a05cR2vHex26jWm/S6fW4eOmVHxwO/GePza3/2u//zsvfc/7szk9qMcug7+n2d4gCS
Rw16HevUatG1OtVlPYEQch977mbBx564KXaRP2fjSea42iSZeA55woVcSnK2ytKROchfp8c4fMtvF/
/AOye0SItwO5SgnI4leJQCKUJdIC3MQxDEBVUUPttZAzW7F+Tgs3gDwLcf90HnzvYCQ/ZiN1cB/r97
NMKDWFEdXb+16szR35ctCvFridTvHPksjBK1IFChEULWiYjlMhwdvNjjJafwd4GagLBxAHO+u0CkJu
tgsfq2VICyv69nPT3clkYbQohsSOPlQ4lix3e+eJ02lhbZ+X6+V9Mz4nhSnvtC0sbN35hfnaS2kSNl
fWrLC1tc+3qDsvLYLTg/vuf+Nmnn/7GX3nve99LY6IGvrRrLv3UnbcF+MoP8aR4nxUB6kUxHxuTT8d
plixqJ0dGGIa899En2Frf/pWlleWfffHl83/tjfNLCO2ZnJnixG1NZmccmxtv8MrZF3/hmY3X/87rr
+z8zMZSTmymiaMmlaROEifYzBJHiulmjVq9wmg0oN6scccdt3P02OzfQwq8z3He4w+deAV9aoxuyIr
T2hUzVS98ybP04NpYv4n3Gx9DtNAqwypTsBtUjpBDRFZHSYEyMcNhSOYVQVAljCd+vWCsqFv6CYeyn
a93ASXBf8LMRcp93SGLxCpDZWLq2cmjx18L4yZSRXhvEDpEGEOuFM4IZKSQiUVGGWEyQunWX/Xp+hH
SNRAdlBx+hUH/oS5soXhcEoCKh5QSpdRnlFI/JQLwRuCMKCSzAl0Ag73H5ZZBv8/a2hpfevbL/Mbv/
PavvvDaK2smjuLmzDTdQZ8r19c4+8plzr5+jdEA5o/c/uYjj7zv++99z/3UGtUy6Iqgwkmw43nViCj
KQWSF6rPzZVEqbybll4tOiXKIo+DI/DEeefR9PPDg49/fmKq8ub414I0Lq7z6yhKbGylRNMH0zDxRF
MXtdvtnOp0W2zsr7LYXcW4bE6YERhBFCadOHCWKNVk2YGp6gvc+8hAPnLnvp6qTE58Bh5ASIcUBRQl
3wBmEcrCe3fSGiw2lB+zg/fYRz+5fFbKLNjkmKDCaQlukHqCUwUtF7iTD1JJmAh1WX4uixrNj256b7
AfehQP2d0/D5dZUvBSv9YfYlQ6BrtaZXVj45Xp9FmUqeGHQQUgUVwiSCEKFiCUyBEyKruTESY7NNn+
I4SbQRtD9yrZQb2dj7UuJBekJAk0chz8iQ/W8U55cOVSgMUmA1II0T+mXgXf1+jWuL96gN+hTnWgwe
3QeGRqW1ld5881lzl24wd421KameOKJb/joo48/xbFjx0owcY7NC61Qm5VBpASFwdUAIR2erKz5xP4
xvX+9nAPlcQwRWKTWIDVHjhzjQx/8Jt772JmPBqFme6vPSy9f5uyr19jc6DLRmOXY0ROcOnU78/OzR
LECOcCLHsPhDtZlNJtT1KoxlSRkemqCM2ce5EMf+sDzx+6640fQemxyeGiCVwSeFKrIHjzF5xjX9GW
e4clx9HC2g/OtH/K+hZJDjPFEJsAYhTYCFTqkVGXjRuK9wgQJjebML1eqjXK8I99md3V/Fnz7L/q2i
IPy7Vi7/6fxWNYKCWFAY2LyF2vVCQITI5TGmJAwqRBEETowyFAVKhHaQiggBuv7H8+yTgIpvrBe/E8
6mcddxfEJKLQkigOklj/gsLnDg1GYMEBoRZ7n9Ed9NjY3WV1dZZRlHDtxnDvuup24UmG31WJlbY2rV
xdp7WYkzRoPn3n8bz7yyKOvnbztFLWJGqExCFnyFFWZQI0vSz7A00f68UlyCA10eOPQ5QjGF3WhFgp
vLbVqg8cff5InnnjstZmZmb+ZpnDt2hoX3rjO1Wsr5JknjitEUcSxo0eZmm4wGLbYba2R2wFaKwIT0
e12mJyc4MyZMzz5xGP5kbvu+AGUgnRQvE9nb5LoU0Lt19JZNhZtyt8y+3UuxbpBYl3/454hQuZIJRB
aFcoFZtz8Vihl0CYkiGJqjQmmpqZ/ERUVPixfI1/qE5/4xDuQduoC5CoPuuPyUMXlpS5nb4XTQuA90
oH1El9rtLZH6cMrvn+6l+wQz3YIKm0ikyN1FVwdTANbNaSVjGGlRx7lkVJyoG34jMCg9GzZeJGkXpB
7gSu9rCUjsCOEzRAOpC9kY610DEXOUFl80lzt7PWupp32R6elRLRbdLdX6Yz2eG31Gp+/dI4L3T1qd
9zO9Kk7IaySecHiyhoXr13jxpUbuB4cq8a/9ReefupHvvPDH+au+QUCpxEmJs0FmOKiCJ3jRQoix0t
FZg2hW6fd2qNPjXpzChFmBPQKx1eZk7kBSkuMC9DESKsQowxlJBWl2DbrrG6tPLu4eP2R9ra/Z9AVB
O4YWh0jrEwhKgqf9GgPltnY6uJHQ+aqUxxJJqjkOcGs476HTnPmqYeZvfv49+m6+kyqLGkg8TIAYVB
eoZ1AO4l0IJwtJPyVpS/fRIoIKWr4AchUI6REuXOMss/9XSfOfptUu8W19xLPEKfaePZw3tExQ4gT+
nmT1c0a1fojvzF37MlPWVtD6hCUR0hbnsLyJnFQ946ne++WtPMrAlzEWx5Syv3H5MyxfzsxPUcQVwr
Le60h1BAqqBgINcqE6CBG6QStQqSUfxc/mMB3y/QtO9DUPFyUe1EQCUU5fxKy+N6LciAMLrdMTEz8w
sTExN/PnCN3FhMVttHLa+vsDQYktTozs/M0mlMArK2s8vqrr3Pu7OtkHYgjmGpO/3AtblANq8ioCio
Gq9AEaK8LZWerkFYjvEEREagqvp/hcomRIUJHjI0mfQb5yGF0AtbQ7aQwUoABk7C33eP8+Wu88OzrY
KPJk8fv3IwjydraLq+ff50bS4t0ukOcVTQnj3LqztPMHq2jQkOGQ8aa6lSFhRPHufPuuzh1x51/v9J
o/ELRryxgem8RpZVvxfAq6ngMzrGvbk2+TZ7vTuR28HeldwXGE4UUAVKZQk1NGBwKoysIDN4rJhpTN
Kdm/q2RIYEOb6YQvTuX9zt78v3nBqMR8oJm8NE03ZzTskMlFqhIgTLFqo4kVBQyUUijQcUoUQ2lTBR
CfhZ9tAQQKpwvRg/7IwZfCsp7WcwYhCpP6bHaceFHVAkDDOKZYbdba+/uPbW10+Liles8/+p51vf6J
JNTzJ08gYlDOu1dFm9c5eqlC4xaXZAw15ylYap/TaUIMRIvuH6WiVxQSaoIr/alHIQXYBXeSlzuyXM
QvR3a7T54TTWZQOoaiBghE6SICi09IRAuJEsFO+tdXn3pDZ555sv84R9+IXnu7Cs/trXa/rTI1ZN5m
jPo9un1e2QuJfOWI8ePU7AeY/AR/Z6j2xkw0ZzkPQ/czwc//BR3v+fen4wnm/8A4XDC7WuPeu9Ronj
/N/mSiLINLMFhEFQQXpeSiW2su0JuL//PgpVv8r6FwqK9QYgAUHjvcCWk3ooGo1FIrxdTb9x5dnb23
h9RqsnhTqfYZ1DfjGzx76KQ1HwNfe3DwsIJqs1jnxz0Fj7p+tuIpA1iVHQnTApRDMaAUgXx1Osy4Wj
/GM7/X7jd1xBJ2RGsFqcGY1V3PRauvAl5IUqiiwfCkh6jtSZM6j+aq1ZweWX94y9fvMz6Xp/a7BHmb
jtFc2aenc4Gq6trXLt8lc5aIdwchwmJqiBSVdtd3v2JN8+++eNpK//U4tG1n5u/vn7u2G0niWt16hN
VVFLcJSEEikKvBlUnlD2814g0hjwqNh4LaR9GGYxGltWVTa5cucaVNy+zdGPxvs3N7Y+1d1s/uL2b1
ZYXt9DKksRVJpsjttsdLl++gTWS6YWTBGGM1k3mF+6hvSPYFpvUjk1zxyN3c/qhB/6PaKLxo2BJh0N
UGCDL2b4U/q2LWx40zYpB02SR0guHND3IlshGV+53buXHtOrhshzhBF4U4xyEQhAgVYQS4PM6o1STp
wGN2vwnA9Mgtx6txjYo4mtiPb/rg2+ffHl4+q0TRHX2U3Fz4X8aitXjqbJIYZHGISoCtCsq81JEUwi
P9znQBj/6x7iNv4SsI0QB+C1GvxonwIlCAkK+jXWZRJUSCK50ZlRUGhNMHsn/pqhcS9u5+DtUatTmj
lCbmQcTsrXTYWV5g531bcigUokIZUx/tw/ZgMnpGLuX1Vqr2z+2ubz7YxfPXXmmeXT+P1QnGr83N3/
03Mz8DPWJBiaJkIFGakWc5vQ7HqSjZVJUp0V/aNnZ7bG2vsva+g6t3S5raxv3ra5sfGu/O/iItfYDo
/6QdCRQgwq+a+i7AcoqlNAIB8M+7HWGfP7zz3Pv/Q9x2x13E9QSmscGzBw5zqMffD/3v/+xn5RR8qO
FOJEniCtFs6QMd7CqAAAgAElEQVT0u9CH8JRe3Nxn3G8PZeWGpgfAOrm7zCi7+I+lWyIQe0hhSxn/g
yGrUBpJBWSAyCdRKKJodrFanfkUhDhfKoB/FTiZe5dVffprIfBu/V4YAbJO1Fz43zO3+s/T0RCpIY4
sVIKCkqSLG+d8wU4vArCPEIOP2HztexWjn8cUO6uiqCVUKS447m8qcauf+7g+yYqftEIoxeTRY8zfd
vePNo4u/p1+PMHUseP4MGJ1c5tLl6+ydGOZdJgRmJiZyWm6OwMG3S7Ga/J+ytbKGoOtPVLg/2XvzYM
sO8/zvt+3nO3uvffsCzBYBhgsFCASkLGQEjeTFBHGiu3EkURWYkk2VYq1REuKTiKpXLTlhFoiS1YiW
+WyltiyRFKiJHCTCHMndhDAYJkZzNbTMz293P2c823545zuGVByySXHBinNnbrV042pRve95z3f973
v8/weF8X3TZ95/j6VZv9HZ6Z3dmZu9ovNbufJuJkdj7P0FZmo1eWW27q0vj5xNsg066SlpTeZ2uWtr
enBi2sbN507t3pHWbg3gNxX5AYtNFprBlsDptMpURQxm87Sn1jGgy2SDLrtBluTCSvn15AbE5Jsns7
MXmZ68yzsqkBX7aVlOruWflhuGza8QEiPFLLaKPgrssFw1QV/BaZYX3Rqu8E2AVZx/vR/L7j4kKSP8
EUdRSbrrX+lqQv1GdyHiCJvAykzvf0f0tFcvT2OK+XL1WUe5NdMtfy14vtPXf2CAiETos6uD2X2uh+
YDooDIk6hOQU5BeEIqkqt3RbXCukRopo8uXLlZ6Qo/1Co+DIyQ5IhRIwjqofC1cnB1rvPP/MILytOe
WFgamDoecg1mix05+nML7K2scbZlQucOnWa8aW1ykyrNG5cko/6NEXMnrklds3OYCcTNjYGmCAoBBi
lMcFz/rTcp5N4n4j0d6AlPlIIrZhpSfpbA0IQSBEzzQ0hVFuz8WgKKLyDWCcMBiNcaWikGd57GkmCx
JPOzZConPPDdaTTzPYWyM0lJtMpTnhefvkkcaPLHXfeRdbusbm5yUtnVnny+dMPfdP1Bz4cAc5W/Jx
GGgESuS0sCY6A2g4jqoFMcieQWwXwGIpiFWdPzXu3+jNajomEqYxG23lhMlRUOwHeawoH1mnGw4Qon
T09M3PoQ9DBWomSMcFXvk4h/qNGy9eK7887421zG69+FHi0AJ3NELcPfDA3o1/yOiFEmxTlCmlTVTz
MbV2fkFdScBEEf3lJePWz+O7fIXRBtBCigZJRxVgh4HZSCq5u2lUYCGQEQWI8DKaWC2uDxRdOr/z6W
n/MwZsOcfbSKufPn+XUmdOMt7YAaDdbRD6nmOZEGpT3aGVxJmc8yMF40Amj6RSnFWNjKI3DSwVSUOB
rcK8gEpWlKEubaB2Rj0sEEbGOsaWrAE5Bolst4nKCFIJunAKBNAXSQJY1SPUMG8Nz2NLhSkEr66Cyj
OFoxHj9MmdOnWRufoHdew8jVINzF4d86jOP/fpc1ji0b8/CpUaiUehKsxlsdWiWsgZRXcl+qGmcr7r
wbbHKZHIGY87/rJYbS42oQAtZAY6pi06Fyg6GxlhBWWqKUpOXTZJ07oNRuhto4J0mSqLqfy/kFV7rn
yEx+3oqv6/Lbmf4c4AbRpZ18EmE1OmjaZK+y+F2lz5HJ2BFUTUplKgCSepmCaGCEikC+bi4zU3ERa1
7jxKaVbdQRBWhWSqMLypVxrYaNzicKVBSQtCsbw7IWglnV4d87ON/8gfnLm1e3+jNMzGWV06fYXNzn
ZdefJawtorINDONBF/kuKIktzlHDu5ld28OP5lUX3cGhKc922a9vw44bDBM7IjcjfHeErBYlzPOc7z
b1t55nLEU5ZRQGlIliUWgGUlS5YiFYbYV02vFaEoSLO2ZQJYpApY4iplOCzbHA5IkIWs2MKHEllPG0
yFSRczP72J+bi/exaxeHEb5ZOP1+w8d+bVWo3pNtRA7xlXqcE3na4Mz4JwlOEusJBqJMGucPPFlTp7
83Pe68vyPtzJLIivDsVRRta2PAFnibI4NEqE7GNNiNIJO65sfW1q6/u+qaL4qvpAglaop15W5+lWzj
Z0cm6qw5Z/KibhWfP/RDyfyajtJjBQx3olV5/3f9qIkqBIV+4rytb1qCV2lpgaJM6AxiKA598rGO9c
v5B+bbe9dIZ0Fux1b7BDyivBabHfxts+AUqOShAtrOZ/74pMfeOHUue9WSRsRJWwNBpw9d5pnn3kce
+Yk2fIc33TbUdtOI9nfWGcyHTE/n9HOUqLgiQOkUYSOFIUv2Bz3afRa5C6nKKdsB1XmTMj9GOdLkqi
B1hIlBTIE8JZYSBqRohEpEulItKedSNIIOg1Nu6HIYs9MNyHuGZqtGB1r4jSj2emxuGs3Nx69ietvO
Ex/sG63xluSvGBaGoKP6XV30WwuMR0HJsXmgUbW8nt3Lz4SKXAF6EhW81E8Qmp88FgfUEgiJdFSIox
lstnnpec/xdNPfuau0yce/4iSQ+a6GY0kRoc6FDMClIHIIWOFlwl5nlGaLkrN02nf9X1pY/4FZLc67
4loZ6tZZQp+jVbpWvH9pw3Zr34GDJXaP0ZUw9cXvAg3BWFuFcqitEfWtDDhq+G4EJVI2TtJsGO21ic
88aWXeeIrJ97gpum/2t3ba0TcrIp621ERLNZbvLeIUHVARQgMC804hy89/vS9X3r8q/96aqDZnmVSl
pw6eYKXXniO0Ssvg4b77nv9//Tud7z1HbfdcuO4mSXfLIJPk5ai02wy0+yQKMV0PGaSjzHCY5Vnfdx
naqdYTIXFl67GJAaUqpQ+Eg++xJkC6Q1ppGjEmkQHOs2UZqrptBMamaLR0MSJR2lPp9tAtRxRlpC1O
xy64Sbe8Nfu58E3fxv3v/GBrdtfd9sHSjd5+3S0tbU53HqbMR7nI+Zm97Br6RBx1GaYb1JMyzcePHj
9J+ba8iwVQOCqpJtKFKGlxDuLrPscfqvPKy+8zMN/9KuNrz7xxY9evnRqababsHd5gWYjQ2mFiBRog
w85QTpElFCWGYN+incLNLN9v9Xu3fGPEC0QGT7E1d6kHtaHYOsZ6X9o5bti2b525vsLyXIqUuw2Nkm
qFBV3fyKI+fcQJrHzplav1RSsUP2qQkiUCkhpuLxyjrMnz/Lo5y/fduY4v9ZSB/+bW9+0F+JK76bwe
BxKVYRlXEBIBd6RO3j+5dPJ408d/+3cwszcEkFKRlt9Lq2cZ/2VExAJjt127GPvfPubf+6d3/YAzST
6p3fedvRXXjx+/Eeee/GJH1h75Vx7cuEyRV7ghEc2EqSWmGLK+tYWnd4MqUyZDIYUZVHhGAIUdoqSA
i0jtIyQIhCrmHYW0UpjYqVpJDFCBJKGJo4laTOrViY8ndku01jSm1mks7CPIze/joM3HRv2FhZ/Lmr
onxnn/UHhBpTl9OcGg8mbz13aesfWxTVeeO5Z0nSR/ftvoNVa4OzKOo899uxvzzdvP7TQoSCAMwEVS
4wx6KgC72LrzIyi5OWnnuWPH/44f/LHn/g164e37dqb4aaKcipxVkMSqrx6ESomqVA4FzMtUkrbJos
Wy2Z64CdQHfAK79VOvLX31Cd1f1VfWn7Nue9qs9i1le8vtjIikFXYV71SgpB+S2CHAfc2ZwtUrUQRo
U7iqVqkVe76tODZJ0/x9KNnefaxDS6c7t+CbbTnm72Pzy0uV99QB7xzaFXh87yv1Ca2tKyMNI898dX
feunUudfPzC7SaHTZ2NjizOnTvPT8V5leXmHPgeWNd7/9Tfc99M63lTceOUirmTE7P1McveXoH1935
Iafn59b3Gynrf1JnM4TJE5KchxDU2IiiU4TvLcYW6KVJGtkJEmMEoJOK6bTSul1mvQ6LWY6LeZmOsz
MdOl1OzTbDeI0Jm6lxM2UxmyP9uwMrbkec3t2ceOtxzj2uru4/a7XH7/u1lv+cWt+5m/5KDwsElXIS
NCd6SCC5MLKpd9bObf2PfmwyDaGEzyC2blZ4laP6WjC2oUL7WbauGl5cf7fxqpi7jgPKlIUhSE4R6R
jmOacf/Y4n/jwR3n4dz/yT0+eOPc/SA+znSZzcx3mF7p0ZxrEDY9jjNAWYomQKca1MMU8kTpAu3njD
8XNw3+EnK1VPDF10FI1NxShHg/5GsKlrr5oroqgE9eK7y9cfF7twFB97firXvDwJUJ4g7f+ei1kxUe
q5f47CDnvGaxu8exTZ3j2sbNcPOMRZZP1C5N7NzfG+fWHDn+uPdeBJAZnCVIS0AQnUFoyHOT8yWMv/
I8vvHz6R41TdGcWGY7GvPD8cZ7/6jNcfOEZFvct8+1vf9M7/+uH/voLNx05iFQBFwxxEpM1Wswu7jb
79x38/NEjR3/xhsM3fXH3nr2mMz97KJuZSRuzPbxWjPKc4XCIVppGo0kkI6RUxHGCllNUcCgZSGNNF
kfEUYXWi2JN0qhy41szM7QXF9h16BCHbr6R/TffxI233bZ1y7G7fnPfkaM/3ty96x/IVvZ5EmFKYdG
xRmhBGmV0O3OMx2W5cn7t0fXB6Lt8XlBiSVsR3ZnraDWb9Dc2sNPp0dlOb2V2pv14hasJKF0Bg+M4g
iBYefY4n/zwR/nCw5/80ZUTr/zD3OWkKqKRxbTbCfMLDRZ2tUg6npIBIrYEpTAhw5gekj000hv+KEu
PfD9yHnyCJ6pOeK/yYzsk9kqP9c8svvB1U3zfkNvOba9RtbW0eCrrjJQRUrZ/QEbmKRVkiqvORUI6I
MeZkqKYMuyXDDZzcDGzrSbCzDHZnPL0V57+4L//5CPDBzL5z5aOXYeKr6S4Si0opoETJ07f8NjTz/6
KKT3d3jxFYTh75jwvPPcC506cJGq1efMD933wPe/665++55vuJFBgyylp1qjGym6KoEmWdWktN9i9s
P/hY6+/9+Giv/m+l8+cfOvZyxfe/PzLxx84f/b0XZdXVis3gvWMB0OKyRiAVKxTFAYhFN1Wh05nhjR
pk6VtskabKGvR7PaY372bzuwMy/v3Prr7wL7PNDrtTyS95sMMgAjKvCAIi0gEKha42ubjPCwu7eVb7
n0jq6uDT5fuTz74/MmXfmwwuMjLLz1Bb/Eu9u9aYKY3z4WVSzz62FO/MtPJPnPocO9FpMCG6tyej8e
ce/5lPv3hj/L5P3z47108dfqDDaGxYonEB9xUMt6y9LdGDEd9MqMgNRgc1gS8VcjQIUl25ane9QPIO
fAdvKjyZUO4oneoqIRVAKl6tZ7mz9K6XSu+v/DjStRdNVCnCkmRaFDJizK034/J/x/vYvBxlbKDwTl
DXkxYX+tz/txqDTXTjLYmQMxwY8inPv6pX/QN7IMN9SvzB5YQjQxEpZU8dfI0n/j4p36nYI5ms03Wb
HBxdYPV1UusrKyAdbzh3ru/8sYH7//xG66/niSW+KCI45SAoMAQqRjrIUoqPguj6ndJZma4qXPs4Rv
S2x++c+tuRqNBc7y+8U3Tzf6xyVb/xvFm/9B0NN5jjFmQ5enu1tYgCxY1N7vk5ueWpllzpt9sdNbSV
u981uye6iwsvdBdXnoGpR8ji8ckUJZVYam0eudjmeA0WAwWg0Lhg0AnCTFw7NY7GQxKVi9v/vjFzbV
v3ZwO7u4PLnH+/AVSpTiw3GNtbYXjx1/g+kPLv9Pp3njrzHxGaT0mzzn5wnE+9ZGP8bnf+4O/u3Hy9
C/qSQEURCyjvEf6QLCKySRnc3OdxkJMM6vSi0zhCQ6ypEWazL4f2XsRm4KrzdL1TaJC2m/3VARfX6a
hv4zFJ0bVNkLIeqOR1JniIEMKpL8aVHK3S7LvkaKLzc8TucvErsRcXOHlF5usXZhhOikwE0/iI5Zb8
1Bq5DNDzpon//nZUUfPPfC6f6aP7IL5FpMLF/jov/k3v/DyK6dvKW+9hyiTXMo3OXHhZV448RQmv8x
dd99sHnrr/e9554P3MtOJoazU/iDxEjQRpQOlxgQdY4QjtASxjiAofFlFac3Oz9Ob6405eOARoXjEe
EthSnywBCEo8xGXXvwEXbPKof134GdvZ121CZGj6R0ZTbxImUYOKUs0AeUTdARWGMp4vLMB2+4Iylq
LEomKFk2ISBPLHcf2c/ny/WxtbL7nsSefP7l2fjN6KvwuStxOt3eMqBd46ZUT/Pbv9W9RvOsX3nDbs
e/X0zGnnnycL37sY3z1Tz7196YnT/xi25cktcjMxCfZ1ztIK8yRXkxxl2bIxwm5yZnBIwcSVRzCJm/
ANe//51ty/69qoCk8Qk3xIdk566fR1czVqH7+6UWuDnO6Vnz/f/Q7r3yUyLoBI+p5uJARQqXfi0tvl
7LxBmwDSQM73mI0sozWJ/jcEYqA8pJIJyQ6whlBpCRnT53kjz9R/uI4jNoPdL/1H/vJkM9+5o+//dH
Pfun9QUnSvSMKr1lf2+DFp5/m0tlX6M51ef29d3/Xt77tW8/F7aSyOGl21BZSSKLtzreOqlVGCoLzO
BcIrto/JVFc/3oxzlUgolgpoiitxyyeqUrIG7O0TYlo9FBZl4Zsg7JkOFQZoUQMosJNyKB3On4BUGT
sRFTvkFJ9/WoGnDEQKZJGytLuDnfeeTtrG8NzIoq+6/Nf+Mpv9C+scKbVJA2eTMesnjvN+ePHyYx9f
+hvfSIui49+/pMf50uf+tSPDi6ufDDTEcoEQjBodJ0EBT4vmQ4dww3NsO+ZjGA4gaZuEiVddNr9otH
x95Y7IyjJTpz1X4LHN+jKF+3YfMTVbs0aQ159KUHSfC/Sfl5GvRlnpvTHigsXc0aXxqhSk3gIWtOKu
rSSjNJ5GklK2omY9vs8+9gTH7TCLAxE8cEvPv3Ub5z76suoJKHVeJlps8XJs6c5/eyzdLtt3vaWB3/
tzW97428evGkJHWp5FGabXQciQYTqvuy8IkhR+d9UHaCJwgePs5YQqlQfESofm0ShZKXOMaUh012ya
JaUAnQXaBELTUBXYMQ6CksLWXnnRI1FrM9ikUuuOA7E10roQEVxzaUQKA37D+zlgQfvpQzmN8+tnHn
Ls8+Nvnv99Gm+cu4MmY5x+ZTpeJPpygrTc+d/Iwv+4MvPPPljq2dO/VALiVQagiAmodfuUGpDR7dIZ
ULw4EeeyaZnMs7IywbNZAGd7tkkW3zvdljnzqolrhXfa92kfdXsZpvTXNlQxI4RNsjsuCB8J6r4vdK
N2dySnD43ZXpxSlREZE6hgqalYxJAK0UrTVAV0ZXBpTVOPPPcDxWKH2rbmEPtBS5cvszpR75M3My4s
HGZFMf933bnyb/x7ne879gdN1OGgFIei6nmTsLXQ34JIULUANyrcyIAgvD0tza4cOEi7XabLK2CHoM
QqCih2UxRCiIZ4S3gEqRPwMYVp7L+1V8FDwrU7oCvmZK6qzg1r0qJuvLF4KocBqEVOpbs27/Esdtu4
Olnrnvf5NLW/aurq4eLcoLF0yBmVqTYwYBnvvTlpsyna9pZZuMusbco70hURitNyOKUTtaiFzVpxU1
E6hFFYHw5MB61COyBdA+kB74TZo9LYpQHvQPUlfxleXyDrnxy5/r62rs2VIGOMo7wZCjk7yPt9wUx/
aXxtM36uqLlW4g0Im8HjNQkokumWuiGot1uU9qcsSkxhSMpPbGOSOM2Ytf17Ern+czzLzHsXyai4Na
bb+ftf+1b3nPn0RvDbLcy4loqSJDHVnFhQtacegNOoCK90zlyziK8wzvHhdWzfOGLX0CrmE6nQ7vdJ
Y4atDodFheWmZmZQydxNXP0dcu8XsLUTvHVPQexXX+vWjcq09TXXsDh1WqsKtG6ztRTgiTWCN3ghiM
HuP++u8Pqky+9Z+PMqScTAomMEd4x32jTUAqz2SdyjkgrkiDQVpDphJlmk1QrvHXMp7M0UHRlglaCQ
T6h7GtCuYyKb0Rle74Pln8fOgQv0dsKmlf9kNeK77WctO98CFff6eutlUfVsyCJlPyy0uWiihb/d8Q
CXZWTxJY886BipE9IZEYjaRDHMT4ouiJha9yHYcm0HJN2uhxsL7A7mydTXY6fOsFYGL719ff84Dvuv
fepvQtNxgZkHHA4rgAL6qP+dgC5EoRtbJ64kk+nooDUHmMnDEcbKO1pdxo0WpJWOyFOBEp7Yg2TwoE
oa/ZlCcHipa6htG5nZ1A56AxBOISMaqW/qVwZf87rWsWu1ZOx4Ei14sCeZe6755tZf+LEU2unT/zg5
tbW/9lSEutLVDFBCIW0JR3dQJgSgSMloqVTmjKhnTRIOhFLrR6xDbRUhYDXskXa2suu2WP0Zm79X6H
3y5YGmgbCS6KrwMqvis29VnyvzZwvAG4HzhxePUmtJUc2VJKyBEGSLPxkp7n79m5733ui/BTTcYnMK
6ye8IJYC9JEYcsxG/1N5udnaSmNDBJJRDMkxCEmNyWvO3iYxUaDsTR/eMvu3R9ajBOkhcQanA/oVNU
6iiqa2AeB8PXXZKU/tNZWmQNa4pxFKsmufcvcfuctXLp0iV5vlsXFRXrdWZKkiVACE6Z4U+JlIOgcX
F75F+WEIDv1lKtEygiEJghHwBBQtc3H4TEEPb6y5d3Zpm7fKGqynAJjApSOEDyCgHKOXpZx683Xs2/
3wofsePTmRIW3K2IyKQhFTlckNGoXSUZEJ0lpRzGZjOkmDWa7PTpJRKI9LSkJ2jM7O8Oe6+5iz4G7f
0cke34yJ8LVISq6ErOC8wQpEDWc+FX3i2/QM+A3ZPEFcTUtwFWev+Drs15FHAtU71nFAtEI1RLtZO5
f9hqL72kkW1glsDqQZS2CV7SyKk+837fMdJtEKuBLQyNtEmuBH+fkY0PwgtKVHF5cxGbqY/RHnH3qW
Q6Lo8TLXdARFGFHyOsFuCBqvkmVXamErnDqtdbCuoBQ0OvOcOOtRzlUXo+UVRc2jpNKEhckcZwQ6Yh
BvglRgVAlaAPaEESoBOfCsY14qP6I6qMItY87YITZwdTInSK8khZkCk+UVt1VLXSF5Chyhpc3WD1zl
ueee5rxpI/S7mPCh7drBJQez4RW3CYLklglZAjaMmY2bdJptGjoGDEpkcGTKEVa13u32WXv7uugd/h
fYmJhIxHc9tAgVO8xwRIQVQMpfOMX3jds8W3T4bab5UpsJ5xUhx3rDEFERLIWljkBpQvjtdF9o7URc
piTyJgkk0Rao6Um+JxBf4qSEik8ZZHTzFKEs0QiRiqFdxJPIDjLeLCJ9sn/Nb44/bZnPjv+wOba2lc
PH7uR3vICemm+0iZGgjpMh6CrwBdb7wyTONqZtUVxmxAMFk+vt4y1ZRUGKarsh8pQrBBIXAjotCJDu
+BrIphgW1Zs8CQIgqiARdXaK/FB44WtBwox4NAEfI2d10rWoSugoqiiZVtPaQxmPOLC2Vf4yhc/xxO
PPcpnPvGpW6ej6U+5snio+u4RGsGs7NKQkqj0zGUtmlLRkBEdFdMUikxKmlkDbQsaqSSRgSiOcJMJ0
7MXyUb+PmLx+9ujuh3mSrAgPEJUcncp1Dd84X3jrnxXSV3kqyJN62y6SGO2GzEehHG49a3rB6tr7wt
bY9IoxkkHSLSWFRHC1Yk6UkKIdy54WW8XvQuVodU5nHdgJGZsKHMesoP+Q3Yy/ZnR2uY/StrtrSPHb
mHx4AHY16pWwClMhIeGpAafVabPegWvBOLxVSL8KgY6IPChXtmvijcugsUEgduGPHmJU3WAJhkhVNH
RQUe1jSZCBoEXMRJwxDsCoUhYnC/xtqJIl8ZjvUZJjbWei+fP8/gXv8BnP/0Jnnr0i72L58/9hED9S
JHnSOdRIiVSglQqUimJgYaSNISgFcV0opi5dptGHKGEJMYTR5JECaR0SFXtWszWiGxt8300s/9bxbz
s1JVgk+09chAe93Xjxvur3HB5FRPr6r9fsZN4AgkCjBXDldV3bL5yRoitMVmkCVrVYKUauSPrTHexH
aioELV41ztwweOExdeQCWs9zkFuDZMyZ7i++SPr5y59T9DRP1k7c+lDh4/eOLnujqM0980jZmKaXYm
ThpySlGZdSPUY8KqObZAgRXTVKEDtQLy2bzzexRBiJA0QKXiNldRhKhLh69m+Ay8rUbivx3/oajIa3
DbIWVdzSVmxPtMQGE1Lnnn2eZ588mmee/opnnv8scbLzz71D6bjwf+cSTrBKwSeGE0qNZmKaHhFS0U
0hGK+3aCrU5pS0U5juo2YRpSAt4gAWaxJYk3AoyKJloJicwPOrwj27H5H4vj5oHZSxF41D/Ffh5kLf
7W2nfV2Tb5Kx+d3znq2fpOEr+VdRZ5MVi8dzVcvzjXKnFhHV2BMoQqZ9FTbGikCvj4/BukrQhcgpEN
XzVPiSID1eGvxJsdOppSTknJcdpyQP315de2HL54/9wunz7z4S/NHli4s3bjM0k2LpPMpUhYgFisWp
VTgVXUnD7U/zV81+5NXwk/U1f0kkSCICV6D11VE2HbM2tUJRRK8kCh5BWQSqDSTwdSNqpBDKMGVbKx
f5vS5C3zuK4/z5S8/xZcfe3zX5qXL3xem0+/35bCXAJGsUjcTUlpRSlvFZF7SEJqGUnRUxHK3R0trY
g+JEMQyEElLEB4pBFF9RPBSEJREKUE56JOfOz2X3nLkqGx3kxhyBzUfpj4s/+VpdH5jr3zbBXhltZM
7e7lqmxYqu633MBzvyS9ffC/9LbrOEym/U3zOORSeIEQNSAoVk0RUhelCteohAjKqCq8IlaNdElAhE
EyVCe8nE4yHcZH3htOND5xefe4D/jHzL3oHm7929J4b/v3tf+0W9hxeBj0EkVRPFVORliNkqLDvOJB
U2IsrAKkq09o7V3M2RW1UrVYCvTPkNGBrXikGIad1vrUGaYlCDqEHlOBGUPTxeZ+Lqys88vkv8IlHP
sfnvvzMfZc2p989GJj3SXQ1La1faWsDs8S0dZNO0iAJksh5WlIzGzeYSVI6cUwnTolw6BCq11tWabp
KKZSXlQFWK7yO8ALMaMBk5SzppfPvZfVX5S0AACAASURBVD79J5rohKcSpm+Ha1a3QXut+L4uDn3bs
7N6K1J196qEHomsLsjphMml1b8/vnhZJnlBSnUnrjieAYUlyFDL1KphuNQRPkisr7EE3mNDdecOQlC
OC6zJcQRwDucsRTGltFB6S+Es07UNpusD8qj/vt4wel/aPf/k0u6t3+o0Dv52b37hhFApRA3QTRAdK
hZJC0hROgF0JZUL/qo9p0Xi0DTRuDpQ0lVFJRICFilzoGLcICZIOa32mEFCKMBPYHqeUAwxky3K8Tr
DrTXOnDt93cvPf+5vPPf0U39r/TJ3GF9BsIO1FMESI4lJaTUa9CaBjmrQlQ0iD7H29OKUhaxFL0nRP
pAoyOKYWAh0tN0cE2gNDdmgjAQiq3I1pIqQZU6xcQnOn5YcmP37JO0flFETJwTCKZTabqdpvr4AgH8
Vi09ckU1eLV/3XOVUDuBG40OXzq0cmmxcVqmHjhB44eviq3LhJKCkrs93onZMCEQQeCGxwhCCw3tbU
a2LHFeWWOkw1lGaCYU1dTRcQATLJN+iVH26PTiwO2PPLHckdvWO8aXJB2Xc/IJSyce0bj0sVPdRrWc
QqodQMwjZAtWugjG3CcxCbOeVIbCEoIEcRQF+CmZYEfdUDnZcubxxYIe4coswzTHTkrwckTMkv3SKf
NzHTvt3+aL/1vGo/4619fV7YnmB66+DzSms9WFaVq9xJGNSH6NkhHGKGRLaMqMlEiIZaOqI+VaTuax
BpgQ6OGIpiIVAKo/Scmf11rEgFilWemSaISKNlBBLiZsMyVdOq3Sw/xANechHyakg9I5hlr80ZfcN3
3DhyqD4yj70VYEYhEAxmswMNta/vRhPmBGCTCsmZVHTAB34ahsXCQg+YEPAW0+okxyFEFWR1zh0hyO
SgpJtZF9OnueUxiB0hNAKpav7s04li4sN9u+aYdd8g3bmScSU8Xj1HimSe1Ctn5aic1HquUe0mvm8i
kZfEar3hNbjSSAl7HBnFLrWVzlvMDatVl5bQD6EsMFA5IgoJ7Mjys0xzhsmfoNxvkq+tcVoa9jYGq/
fOXabd6v+iXvLyfD+RNqlRuSZjIas90cEH9i9nHBwVGDPwKSoFsxEJ8QhQRMTxwkdH9PUGamISJWgE
yf0Gm2acYz2hkxFaFnZo4K3SKXQuiKNy0jhS4/1vsL1I7CuMsD6PGe0uUY6Hny7K9o/RSucEuJKNPd
2k+pa8b2WD2MhhlxAiSRBkriKk6sFFDEYB9p6wvrgR5PVTblsPc0ENtYuEssmWmucUlgnyEuPk55UR
TSFrhiYoUCEymbqlKWILQOfM7QFZXtEbidELsKNHfHQ0kTTV5Zhq+RyvIndPWXXkZT2zU26Bxxzu9Z
ZSjZoTQ39eBcwwoUBQqwsRVH0HVEUfUd1BvXoqHHcWY5L3XhJiuQV79S5INKLSiWXcaHvB+fHifXl0
AY/GH1J+qDivAzNydR0TennN/qjJVO6vcPh6GC/3z9SFMVNwYubiqJgmo/Joo3qeAzEcYVfdLaN8Io
ZmbBPXCSJA3MKhjlIMySLNFmakkQtjgymRJHEZBLbUESdmBCD9o45H9EKAu0VIY4pYgiRIsQRSipcg
LxxHh81KLUHnyBKyYzz9LKI0eo67sQpqeaXflSF6G8aD6qeiygzpKEMQcxcK77XtNvCq+Bwr/pvzlX
HQZfndxeDwUEzyVGlwTpLrOrcu51/X1mhvajOdYSAweFDRafWWqJCwBcG70oiAsPcMp1YnI8QcUzUi
7DBYooBuR/S7Dhm9qUcuq7H4f0ddi/HtNsgoup7OlvNGEIAX+stfbB477HGMw7jm6zhJoGGEFOWjuC
r2V1ZWkajAQ5BPrVMpiXWVVrWae4Zj3JWL22wtTmkMJY0TQHJeDzGW0eSJIzqOWMcQ9Z0RFFlYxJUO
InDN+xjbsHS7m5x4sSEyxvgzSaNVoP2TBc/SBCNhFYzQzdisigmEwKpJGQJ1lXAXKkFiZIgBUorZL1
6i5rPKWsBgQ+WMjiEFZTGs7W2Rm9r66BaMHdLGX0l1PmWqKhq54ZrK9/XQfFJoquHrpIqn0FV/UMzG
e8era/f7qdTlDV4Z4iTiNhHBARlcHhV6S1FqMYT1nmCtjjrcd7jrcfZkmI6xJqCoATFBMpc4ZViag0
jM2HoBozEJqprmNsVceONPY7c2GJpOWJ5JiNVAes8LkqQchvs6ncQGN56rDUYY3AuYMqqILyT5FNDW
XrKwjKZTOn3DVJqxtOCrf6I0ggCMaNxyfrmiNGwaoQ6BwRTZaFTfe5cTltXwTFxQxFEio4CzhXo2NG
KI8ZmSNJusetgB6dBvTJhPIRCXGZrWjBs7SdppzSaTVpRRCoVWgaiSCFaGYUtEUJUNi0CWqmK4amp9
JkuqmRrQlb6XAU2VDkapZNML14kvXz59uae6W7VjCq7owAhNdvJD9eK77V6SMnVbZbt4gsCrNzWK3r
Ga2vvH11YTcR0irKWYC1KS2IUxjmUr9DikoAXlb3HBl9hA4PHuJK8NBRFgTAObT2+CBRT8CLFxgljY
DM4xqEgNAzz+yUHDkfcfH3MgWXIspxWFCFFggkxZdxGUNQz7QpDDwEfSgiO4F1lgK8s+bh6oBKswZc
Wm+dMxwVSakzpqsDM0lGWnn5/ytZmrYuWCuccZbkdoSBxzpPngGojhKclIqJEIWyOcY4YRxSmBG1wj
NDtlKX9TYglK+dG9DcLxqOCc/EScUMz18wq8bSUxInGKY8RDhFJSjzaByIX0Hhk3Sl2ArRUFXYfWcn
5tMNLsKq6IRX9LdzaesJo8H6yzkeErAYMob5ko2vF91oWXz1Irgkp29sQLyungwSKwdZbBmfP3TK5e
JFWnhN7hzMlLoC3Ed5XWQhBhtoB4XGumptZ65BCYrAVOdp5lKhyH2w+wQuNShOKNKYfpgy0gqzJzFL
MwZuaXHdQcGBPi4UOCGmJtcNLQSk0RZRAUSJE7XBAgHdVBzPESF8NlqsbvAYX8IXDFxG28LhSoVSEt
R7vQcoq3dWUpsL2SXBOsN535CWkicB5wXBY/ftmU7I5lOhI4aQgRCCUxQCZAl1OSJoZ1njiSNOamSF
qesqwihF9ihzU3mWypT0ksgFbOcIJsjjCYZmUOTpRKAJBVnoUrxxSGVCKEBzGVTcUhScoj1cOpz1BB
YT2MBliL12Ctcu30J17i4iyj1tZye5CrTu6Vnyv1aRBVFtOEXgVIc7tGEhtOllfv3WyeqEnhgNSZ0m
EYFpN5gjegncIb1GiTo5zFu9KvAfrHUIoSu8oXMnIGArrGRclk7xk0jQcOXojSzfeyKqZcrp/ga18l
UZzzNLhBnv2CbodTxoVKFmidEKpIpxUjDE0VMWl9EIQgq9XvmpvJYQmeA9BE7zEm4ApDDb3uFwRygQ
tHCY4TOkoC8d0ahlPLc4qojhi0i8wFoyB0gacDeR5LcQTgThUWQrSQBgZgi4Rqlp5/DgQ+5LgFRkSF
ac0eg2uu3mJG25t0m7NcfD6N7EUZYiVTTaffpH+2haRV7SkJpEVLkNIUUXZK4+PFD4WICwieGyo9sA
imGq1jwKFMkhliBBEpac4fw7OnO6xuHgrWfQISufVHkFdm/O9ps1OKruJuMpAi9zmkVjsdGDGF1beV
Vy6mMXjEYmzRK6swA6hEuiGYBCyyj8IziBsXkMgQSrJJC8YWcM4OPrOMDIGkaRksz0OHJnhW97xxsk
db/q278yj+HOvbF566OS5F7/v8qWXblvulizMlmi9hVADhJrgJXilKo+csChtkdIjQhX15Zyt/RkOL
yobUjXeU/hgcU5Q2kDwleazdKN6wCmZ5lNGY0NegHGK0kBpBSqJUXjGI0Npqu/lPAzHjpmWw0mYWMN
0nCMiT5JVxyk3EcwkPdKsTaO9RNZeZKa7l11L13Po0M3sWt77dJku/ZK24cNbJ05/i86ifzV9/nTDr
o+QhaMrU7A5XkjKSOAij0tBaon0DmUcQcfEVV5R1eiSDhdZgvJELhA5z3T1PMPTJ7L2dYfexVzn54h
afM299lrxvRaPbSm1ugqZcKUX4zGDzXdN1y48aC9fJJ0OEYXHljnOF7gAxutKoBscwllwJaLIq3OVB
BGnjMsJW4WhUBGjVDDUETNLiywfPOhe99++8SuHj97yAXbPfVIZx/7lI7+864YDv9zfuPXb26p433T
txLspL2DDBugRjhFOGnTi8cEQ3CZeiKq7KSpIbPCh0piGgPMB7yUEh/GO0o4xzuKEx0vHNDfEUYpQC
usm5CVYLymtYDg1GK/Y2CrIS4h0jBewNSgJARpZwsiMUV4QyhInAkkKMslIRAOIcWGG5d1HufnoHRz
YfxOLi/uZm939ER01/4WzfHRU096iRvzvombW35yb/anp0y/dXZ5dV8F6lFdIGXBK4aJAiCTIil0jh
SdKmkTeowk4GbDaU+pQB9EGdDBM+jl27SIM1h+kXH6XSOIPOxlfK77/7MXl/Z/yal39udv+wbczh23
FENIK8umgM127+NbJ+TMlW+txIxhi4Sl8jjMFhfGUItDMGrjSMO5vIQXV3Cp4ptOS8WTM0AXGArZ8o
C8FjX3L4egD94l7H3zwl9qvO/BvUfoRpEM1YiBCRglLy9lHpTUfbSZzh0Sx+d+Z6crfzPOVW0t3Cee
28GWO0A4nN6rsOi2Q0gIFNpSE4BBS4pxBSMl0lNMfjzAYVKYwefWzTUswLlCUgdJLSge5CYwLz7QUD
IYGJyRBCoa5pcirZoeOIoSOOb82ZHYWOp123cJXJI1FDh26gT37DnDkhps5fPgGDhy87qtJ1v5/Bfr
XpUpPVYm3ZdXtl4K402bh6HWfnJ+fLYu9e75j89Hn3r/51RdDpr3oNloEkTOcrIN3NLpNhHcMR2NCL
NFxghSC3E4oMZBUZ2CbF6iyYCZJmVw8y8zKqZIbD75Vm/jTOokHAXb0rl8bnPq1CcbXiu8vMkm46sX
7s15I97V7fr3dALWosmiXq6u3i/WNWE2GaGdrf41B14JqG0kmZogtSlQsEc4zHo6Y2BLZyOgPpqxbw
0peUrRbHLrrbr7lrW+/fMvd3/yb6cLCj+WZnlb709rxgK0HHhFCxUSd5ins4k/r9u6fju3lb7blxf/
KuovvdHbjVhcmmNIRXKi9gdX80IWC0hUE6yjtlOA8uXFMnaAMIIJj6g3TYEE1MUimzpIbzdQqcgOlU
1VSQaRwhaCwlkkRKG31OqooRWVtFnfB0tIudu/bz8L8IosLuzl4+DqOXH8TS7t2fzVOG7/f6XR/N0r
TLztjKL0jkqC0IErjClAYAiZU57l4ef4RncRf8Yn2arH9t7eef3khH/TRBXQ7c2hpCEWOd45Ob4ZBE
XDBUtbjBaVcpTgyHm8sOIsUloQcu7Ea67WV23XWaqdJGJTXAEr/5YrvP7Tx9Nt8zu0ZkKja8W5z64H
R2bP3hI3LJOUE6as32ocqzVZLjUsCRZlTmAmp0EgpmDpDfzrFhkCZJAwJpHtmueWee7jrLW99/PDtd
/zrZHb2Q15IjEpqnb1DBoMMtqZXVF4KG4A4RsRzaGa+rMPClzG7fhy7eRNu/Ja83P+msizvN/l0xro
cR4FngrADSj/ChkphU4YRRmQ4keOFxzCmRGNCRlFaBhPHuFAUJmFqAqXXBBVTmDGGCJU16LZikrhJs
91hbnaeTqfD/v372bVrD9ddd4R9ew9uzs8tP9Jo9T4dR8nHkRwX+so8VWpFJKqcQE+ODx5NE+XrAbm
WeB3Bwuw0a2U/oPctvJLPZH9n8sKJ15VnV2g4T+ShsAU2SFSqifEEW2IpEJFHa4mzFudKpK0FByEnQ
tNfOcns6b33iKXdD0Rp5zeCSq4V32s7Y6+REWGHJ1HZf6bTrt3YfK9ZuRBUf1MkZoqUUDrD1JYEL5B
SMTUeGwwGgzUlUZRgIs1QwMZ4wpZWqKVFbn/g/vL+h959eu7WY9/thTw59o4ky7gSOqyQ+OoZLEJIA
oqpZ8cAK4UkYRYRZaDnjhPM8TSLfj4tS0w2udPZ/PXel3dZM76jyIfHymIYb/XX8G6KFwOCGGBtXmk
kozFejTBmgKEgzkpmdKA1oymdJIgUqRtMCk+StunNLDC/uMzi4i4WFhdZXFwue73eM1naezKJs0ezr
PklrdUT28YQ52uHUllvFlQgikVt0rVVkIpwkBvQGi0jcIGJspRC4rIGan/yK91UfjLpZP9uqMSB0em
V2E4CUZIi0Iy9JYlDZd4KHhUJNI6yLBHWIp3Ay4DHosgZXTpLdPZE6By9/b005j6m0H2uQXP/M44S/
hz1rKzV1J4qLRZVZeeRT47ZjY0lsdkXyXhMUuecG0oKnyO8QlrJ0E8AsKLK5ekXlo1pzrq3jLOEeHk
Xtz744Pib3vqWj8xdf+Qn0dELQick242eq54aXSMAq+6PoJKwuat6QdZDFDIIWW0RkhBBpHgigicQt
bvV5YRQ3LAHe0Pw+eGiGO83xWRPwC3h3VxR5jOTyag13VrN+qNhVBovG62ez7KuCSqdKpWNdNrcTNL
2ulDxxTjJzsdp64zW+qRQ6kWl1Itaa7RIdzbuvg4bCaFizWyT+XwA5331XoiaXk1U0cLVtsui9lK6q
mliqsnrOF5cfKYR1Lua6H84TpJ3mwurzbKYYF1OYXJ0UeCFwUmLEJ5gHaK0RF4QaQW+pJQGrKeclBQ
XVwRba0v0lo8pGX/W6/ha8b1WRRiEZ8chtsOr9NjJ9Nbi0tqxeDIls5YYg5DVaEHEAll6hAsYW2K9x
3tBieLyeMK5rQF0Z5m74fpwz7veLQ7dfdf/0rvxpj9A6pdyG0h0VWy28MSJrIfE9bKLfBV4Vl1lbJJ
chZp0QJB4VceX7+ji6k+iFAEvgnlReE+aGFJntznv4BxlWSCWVlhfX6c0gdm5RVqzC4AiyASRNCgmO
UHUPjmtqpHFdhNLSiZTi1KKKBJXDOLbXBl5lY5BVr9QCBCCQso6pTdy9TIZQEbEWte58WAJKDTp7Ow
L7dtv+d+6s70vb7z0ws9eevnFMNkohUPTnBY4THV6dwZlHdo6tIjRIqKQghJHMFOkMZSXV+Hs2WMsH
rqVrPPZa9vO/8Jnv6sL0WOri03Usz0BFKY92uz/8PrZ8zSKksj8f+2deYxd1X3HP2e5975t/Gb1jMf
GO/bYYBswBgMBgp0GXBkqIG2DQqqoahU1SEGqUrXqH5XaP6q2qVSlCKqqTdp/0gZFbYIapS1UJUogU
kRD2Yyx8Ybt8Xj29S13O6d/nPvevJkxhQQCM9Yc6cqekWd83znnt/9+32+MTGJSz84PwgImTklkndh
YapGhZgSJ79G1dRO9u/ey5cAtr+07dPffic7OJ/F9Ujw8PV9TzCkJhNlLqayZVC+IR62JkVI4DvcmY
G72zyxYlSzoUBTY+c9nRJYJVWAD0C1zUp5rhsZKgqogIcTPd0LQ4cQlAWxAUMjPW7amwnLT4xII8u5
9LWBMTGpcptXzPCwQRTFaa5T0nRIxztLYJKMY81OHxy1sw4ijwHFfpILUZvRnnWve9kr6a+1tKgkL8
rft6bP76hOT+PUJIhJiU8fGMaQpOTQa6cotys2HRVGITRLmRi8z+tYxejbv+grl7m+igtlV4fsIhW5
BBrTBrdMAP7IQ1asPzExOBBMjo+TDkDSsY6IakTDURUoUG2RdYKshdS/CCkW1HjOXWDo2bmH7gdsZu
OuefyvdcMM36Oz6Ll6+OStO6p55sORaNhnugfUXwq1LiZQqQ45OsTbJujL8ZqiSMtNA03Q8Dg0uBwR
WuQkFgUQK6XA3WzCirAVlNWEkqdddQd3HA6EyRGpJmmRVmAzHxS4a/4jTEGtTlJIZv7uLow11LBLfl
xm7qyWNXWyttNtuN1GegM4m7RHExuLHGUW3BWkERkIoDcLXBFvWP7mxlBssFwu/OXLi9P2FmWGkgSS
qYxLXbKCFRBhBkiSInHQOfBohjaEyOUH4zjk6J8YD1V95gKDtm6vC9zHFfIIqxiT4op0kAc8z0s4Mb
UtffX7D9qkTeLODzMkKM4FApAG52EfUq4zXp5iws4xX11CVkqjcSXnnLq755Kemtn7i0E9yG7Z8oWb
9GV/7CJM5gxJQCVbFJKSkJAS0z88zyXfbVk1DP4iFL49P5/v7/FkW12Hm2qb0TSd5/MIMXbWTlAIP0
k5Cr43UM+i0ii8KrglLgSFGk1lo6XgkAtkSM1lwOJ4tDerWzusT1cgutwiwyTewrZu/xHhLUaQ94/j
yrChgutq+J29a+8O2nTf+0+Dz6taRc+fak0vQqTyCoIZOK/jxKH5SpTZdJwk8ZizUdY6a9fCGh1Gv/
M8GOjq2xR1dErRJjCEQHtpCGjokNGwK2pJgSRzKJxqBb7XzDBIgvzzu+YqkfHFWwfUnWgG1arU0Nnj
5sdr0LPVqhSiqY5IQEYdYE1ELq0xVK1TSBOvnifwcaZCjf9sODh05OnT7PYef6OhZ+6hBTPg5fyFCj
23dKpFhiHzMhyZla0dCE0RJNHBHPwTP44M81s670Y0/lVJJEAQTxWLx0YFbDj5xzcDAUKFvHUmxjbo
fEHoBsQyIYoGnAmQsCKx0j4QorDJ86RwMX3jM1GslZWOkSR2AgQDlzHdDW2S6US694GLV8n2gFeAhh
EeMa96tTc598fLp8+3x+BRerYaKaigiZAqVeoQ1PmngMx3GDE1OEXetY+CmG5NbPv3p6rqDt32Btf0
/RQfjAq/ZKqpFa8CkmxZMLoMGJyll85Jn2ZCs/CGQQr4v4fpFhw3N92tZvu+jlBpTW7Z9bYPnvVDqK
H979u2ThcqpN3U4WmeN9WkL1hDOzhDVq2jPR4kITynCNGb48hl6x8+167D+RR0EX5VCZDGBahj2pqK
UGV43GTTW/++prArfksvxbu6nNpBKSSwEnqG3Mjq2Y+r0ed+bmCap10jSCGvqCCMRVlJJYMJqZoMct
tDHtbffw8HDh/+j97bb/oZi8dkkjLG6gEETpZacEu5MRUvWQmoH374MhG9JHCzEPFvTMjm/xVaw0Qo
mpSQWwXhu/aZn17d3PDLb3f07Fz19dFoopseGSecU2sbYNCGnPMKw5mYfpWVq5B3Mhbd8Oz2xg2KhV
0o1bI0AqZro1q4yIskqUFhMJn6mOQe6Knzv8xCvKICRhJxwEVi1LiuDg/dHg4MEk9OYKKQe1wmjKsY
oIlFiNIwYlYKe3ddx860HuO7wI38ddHb9I6X2/8XTGN8B8hlALaagaiQbLRngj1w2wpeZwWbiyeKGg
OVH+f+/h3JoIoIb0yx3xCrASMi1dX2/uNUf2uDlzhS7er48/uorXDp2jK5iBzmr3VlUa5i4jhIxszM
Vzrz+El0HL9zvl9f8EcUSQlhSFFa62qpqfHgrUYKFkxCrlu9D0PjksjpaQmVy+PHqhbO9ufExctU5S
GNmowiLZC5MmQgrRJ39XHvzAa47/KlTG/fs+T7X7H7cUfBIUqFIgSjLSTZZbiVLEQvs8ooZhGhkZJZ
Xx4fJYlApZdNFbgihEC5HaqxPJA1+oeOV0rbc46q4hkh6v1yzcvvEmTN4oaEeVYmNwCQGKRL8esLYq
bcRZ071dmza8Dj5/B841kxL3CJbooXPT0iZEQeAEGa+7LMqfD9v0OOBNQjCHZVLZ/fXzr1JYXoEXZk
iVhEzRpJIn1Brgu51XHvbXey5/+gbwXW7/xIveLoeC3KlwKYCIqCWuKJzE6buXYJzK+Y7XJZNzLc44
fIRXK73ihmVUk0BXPwzUkpUAkJlfbBgY51H9m74/e4b9culrt6vXPjJj6+ffPMNpi6eI+fn8UyIjiN
yQhGNRpw79jrbdu/aT3f3Dqw+CZDYFIxECYHXCvJpnABaTKZLzUIArVXh+xldTwtxGAnSuZ760Ok90
cUTFGaHiecmmckZ5vw8w3Mp5a713HToaGX3ffedYWDnQ5QK5xFEAUFz6l0CBa3nU78mRUm1VPjE/AT
Tsst2tuyPWAamWQhHKf2uMXt2hm6YClKh8b1SvdS/+Z/b2jtfzLWX//WY1lsvRNViPCVR4zGqWiOXK
irTKZffeoupSxf2tG/a2EObfBuVs1JohMqSKylLqK6Xy9ktOMeV4mouiCEM5PzAzgy+87lLb7zUy9Q
lVDzNXHWKyPcZsz7d19/KgQd/I9195OGvs3Pv5ymWT1nhRQjXFS9tk7C5WZVTGHzZ4ANwnHDuaSXj/
OgSFo3Pv3gPkiSZF0AhIFMey43BZ/Fo2Pw7O/g/bSGXPa6fW0dJvu2U6lv/+X33/8rXdx05mkbrrmG
yWGaqUGYoEkwJOHP6NC+//HIvlcrn0J6N0ihrS1hZa0W6nWkMyk/3MjV+pHb5ohUz4yKVMWkhYDQRd
F9/k73urqN25x33fpn+Dc8QyMFQOrg8kaR4mWFTC7SjWagfRUOFZow6SOyyKDRcBUulWYlEo6xAGde
iZiSkeBTKPa+qtra/2HHnPSeKa8pPHP/Bf4sTP/qBmJyN0RGcPHuR7teP213nLx5Zt37z3kAHr0WZE
xBHDt7zSmGDWBW+D8EaarSZntk/cup0KRyfFCKOGDEp+S3buHbnXrYfeuCF7t23Pk3/5qfwJLMYlHB
IZ0lcw5OLTqS1f2vJKdmMvNK0JMs+Xh0rRFbBWqGjNREpSkiUSDPUJgfJr1KXrTRKE1s1mF/b/9TWg
0Xht5V/XZTa73zthR9x/q0TyHrIifPnxevHT5a6du/b73cV3tQ40g0dLHI5pSs3yOa3VhMuH8xX9kk
qg6N3D588212drCBybei+NWy865fYfNd9/86Om/8UEbyQ2pSahVTLZiIl7+Xnhcs2BI+MlTIbArpCV
lM2I4flcXgrmRK50UKkGi5oY8+zM5GAEAFWJMi2zievueHAq6We/j9Myj1HzsbfQQ5e5NTQCC+/ebx
74M7xu9eXu//BWOnQBNRSwTPNLKhcViZwRbaXhcns/qnR4UdmHKb3TAAAAyxJREFUhsZJ04Dyjr1sP
/qZoc1HP/MMu29+GL/0IkqDD1obRwNm4/lTb8Zyi6ydzWjCMuoxmz1iwbMqeB/80mVN5I0bqLJG2gy
PlTh1uKbCB+ljc20vdm4deHjPoXuf+cSvPTpU3riJmvQ5fXGIS8Njj2D1fl8pTBS30PwaUtyzINGyj
OKGlWj5vJnK2IOnjx+L49nQ37nrAAOH75xuv/XmP6Nv078YE9RkaEGnSBUCKRqBFj5e1o1ksxMQjYK
elQuEsLUwK2m1kpmlVB+/8K1kAQxaNtBmjeMOl8LtcRzV8WQuG6FQGIQVWtbW79zz2L19Gx/uL5f+J
P+fz5YHR8Z56aevxNt37n2wu7fnNd/TsfNaXBiRZiGDwKDRLbB3q8L3867y+MTlXdMTo8WBbbvi/Qf
vGOLAvt+qrl37w3EIcxLag4x11laIRAWPAI8Ot/ExpH6jWC8yF2devkyLrInFgmeWh7OwRPBWGG+Wi
F0jppWWRJBNHxikcD21XjFwUpk6AkatJEkC1orBclf73x564IHjhb7+v3/uv55fNz45VRy+fHlXd09
PmSgZc0hPNhvYAruYN27V8n2gtXV8fOShnq5O9t+492kG9n2LQv65KWAaWAMUDPhEaG0oIFyOMgkhy
YOaz2HKRVHc4lqQbf3LMisUrWjrl9XhhBCkwnWnNLiFDVCParR5BeeRJE47aungOASE1gueu+OTh76
0dt3Gzx47dvzRUnHNQ8Cf2yQZE7mg+XtslqVWi5XocjlDu7K0pgS+dfbs2V8tFotPlUqlr+ZyuXNO+
duFtaSrZF3pfCpiGjN2imToJJ39m6BjG1XZRwrkAI8YUKSZWlEZQDAIrNArHnyvpXtmM/B7wJeAbwO
fBcxKuQMrzfLdBoz29fX9led5v6u1XnBJW7vnr/YlrXEoNo22LRYOYlxZ1S6rkOfDcLvPAY/hGmWC7
H68uFI+x0oSPg2MAN/L5/M/vtqSED/T5cMu9J4Wf7HMGsB/4TEv/DFwe3Y/NPN57VXh+5BWApwFLlh
r661tV1eju/ne8YJrkWtES0tmRe2VOviv2j2aBp5nHihiRaz/A4oCnsAsje/+AAAAAElFTkSuQmCC"
    }

# $encoded(basn0g08), $encoded(basn2c08), $encoded(basn3p08), $encoded(basn6a08)
test imgPNG-1.1 {reading basic images; grayscale} -setup {
    catch {rename foo ""}
} -body {
    image create photo foo -data $encoded(basn0g08)
    list [image width foo] [image height foo]
} -cleanup {
    rename foo ""
} -result {32 32}
test imgPNG-1.2 {reading basic images; color} -setup {
    catch {rename foo ""}
} -body {
    image create photo foo -data $encoded(basn2c08)
    list [image width foo] [image height foo]
} -cleanup {
    rename foo ""
} -result {32 32}
test imgPNG-1.3 {reading basic images; color with palette} -setup {
    catch {rename foo ""}
} -body {
    image create photo foo -data $encoded(basn3p08)
    list [image width foo] [image height foo]
} -cleanup {
    rename foo ""
} -result {32 32}
test imgPNG-1.4 {reading basic images; alpha} -setup {
    catch {rename foo ""}
} -body {
    image create photo foo -data $encoded(basn6a08)
    list [image width foo] [image height foo]
} -cleanup {
    rename foo ""
} -result {32 32}

test imgPNG-2.1 {reading a bad image} -body {
    image create photo -data $encoded(BadX)
} -returnCodes error -result {unfinalized data stream in PNG data}
test imgPNG-2.2 {reading a good image with multiple IDATs} -setup {
    set i [image create photo]
} -body {
    $i put $encoded(MultiIDAT)
    return [image width $i]x[image height $i]
} -cleanup {
    image delete $i
} -result 223x212

}
namespace delete png
imageFinish
cleanupTests
return

# Local Variables:
# mode: tcl
# fill-column: 78
# End: