aboutsummaryrefslogtreecommitdiff
path: root/old/import.txt
blob: 7af6b5b951208df8610c938044ab0c7a1af3d7a0 (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
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
end123

[contest]
contestname=Fase Regional da Maratona de Programacao 2007
scorelevel=4
sitename=Nome do meu site
startdate=1190480400

[site]

[answer]
answernumber=1
answername=NO - Compile error
answeryes=f

answernumber=2
answername=NO - Runtime error
answeryes=f

answernumber=3
answername=NO - Time limit exceeded
answeryes=f

answernumber=4
answername=YES
answeryes=t

answernumber=5
answername=NO - Presentation error
answeryes=f

answernumber=6
answername=NO - Wrong answer
answeryes=f

answernumber=7
answername=NO - Contact staff
answeryes=f

answernumber=8
answername=NO - Problem/File name mismatch
answeryes=f

[language]
langnumber=1
langname=C
langscriptmd5=7da844fdb1408384529484e9010b6b5d
langscript=run.sh
#!/bin/bash
#//////////////////////////////////////////////////////////////////////////////////////////
#//BOCA Online Contest Administrator. Copyright (c) 2003- Cassio Polpo de Campos.
#//It may be distributed under the terms of the Q Public License version 1.0. A copy of the
#//license can be found with this software or at http://www.opensource.org/licenses/qtpl.php
#//
#//THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
#//INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
#//PURPOSE AND NONINFRINGEMENT OF THIRD PARTY RIGHTS. IN NO EVENT SHALL THE COPYRIGHT HOLDER
#//OR HOLDERS INCLUDED IN THIS NOTICE BE LIABLE FOR ANY CLAIM, OR ANY SPECIAL INDIRECT OR
#//CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR
#//PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING
#//OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
#///////////////////////////////////////////////////////////////////////////////////////////
#Last modified: 21/aug/2007 by cassio@ime.usp.br
#
# parameters are:
# $1 base_filename
# $2 source_file
# $3 input_file
# $4 languagename
# $5 problemname
# $6 timelimit
#
# the output of the submission should be directed to the standard output
#
# the return code show what happened:
# 0 ok
# 1 compile error
# 2 runtime error
# 3 timelimit exceeded
# other_codes are unknown to boca: in this case BOCA will present the
#                                  last line of standard output to the judge

umask 0022
chown nobody.nogroup .

export CLASSPATH=.:$CLASSPATH

# this script makes use of safeexec to execute the code with less privilegies
# make sure that directories below are correct.
sf=`which safeexec`
[ -x "$sf" ] || sf=/usr/bin/safeexec
gcc=`which gcc`
[ -x "$gcc" ] || gcc=/usr/bin/gcc
gpp=`which g++`
[ -x "$gpp" ] || gpp=/usr/bin/g++
java=`which java`
[ -x "$java" ] || java=/usr/java/bin/java
javac=`which javac`
[ -x "$javac" ] || javac=/usr/java/bin/javac
pascal=`which fpc`
[ -x "$pascal" ] || pascal=/usr/bin/fpc
grep=`which grep`
[ -x "$grep" ] || grep=/bin/grep

if [ "$1" == "" -o "$2" == "" -o "$3" == "" ]; then
    echo "parameter problem"
    exit 43
fi
if [ ! -r "$2" ]; then
    echo "$2 not found or it's not readable"
    exit 44
fi
if [ ! -r "$3" ]; then
    echo "$3 not found or it's not readable"
    exit 45
fi
if [ ! -x "$sf" ]; then
    echo "$sf not found or it's not executable"
    exit 46
fi

prefix=$1
name=$2
input=$3

# setting up the timelimit according to the problem
# note that problems should spelling the same as inside BOCA
if [ "$6" == "" ]; then
time=5
else
time=$6
fi
let ttime=$time+30

# choose the compiler according to the language
# note that languages should spelling the same as inside BOCA
case "$4" in
C)
	$gcc -lm -o "$prefix" "$name"
	ret=$?
	if [ "$ret" != "0" ]; then
		echo "Compiling Error: $ret"
		exit 1
	else
		$sf -F10 -t$time -T$ttime -i$input -n0 -R. "./$prefix"
		ret=$?
		if [ $ret -gt 3 ]; then
                    ret=0
		fi
	fi
	;;
C++)
	$gpp -lm -o "$prefix" "$name"
	ret=$?
	if [ "$ret" != "0" ]; then
		echo "Compiling Error: $ret"
		exit 1
	else
		$sf -F10 -t$time -T$ttime -i$input -n0 -R. "./$prefix"
		ret=$?
		if [ $ret -gt 3 ]; then
                    ret=0
		fi
	fi
	;;
Pascal)
	$pascal -o"$prefix" "$name" >compiler.out 2>compiler.out
        $grep -irq linking compiler.out
	ret=$?
        $grep -irq "lines compiled" compiler.out
	ret2=$?
	if [ "$ret" != "0" -o "$ret2" != "0" ]; then
		cat compiler.out
		echo "Compiling Error: $ret"
		exit 1
	else
		$sf -F10 -t$time -T$ttime -i$input -opascal.out -n0 -R. "./$prefix"
		ret=$?
                if [ -f pascal.out ]; then
 	          cat pascal.out
                  $grep -irq "runtime error" pascal.out
                  ret2=$?
		  if [ "$ret2" = "0" ]; then
			echo "Strange output - possible runtime error"
			if [ $ret -lt 4 ]; then
				ret=48
			fi
                  fi
		fi
	fi
	;;
Java)
	$javac "$name"
	ret=$?
	if [ "$ret" != "0" ]; then
		echo "Compiling Error: $ret"
		exit 1
	else
		$sf -u10 -F30 -t$time -T$ttime -i$input -n0 -R. $java "$prefix"
		ret=$?
		if [ $ret -gt 3 ]; then
		    echo "Nonzero return code - possible runtime error"
		    ret=47
		fi
	fi
	;;
*)
	echo "Language not recognized"
	exit 42
	;;
esac
exit $ret
***end123***
langcompscriptmd5=bde30aa6d558a0b1596ce7bf8daa75f3
langcompscript=compare.sh
#!/bin/bash
#//////////////////////////////////////////////////////////////////////////////////////////
#//BOCA Online Contest Administrator. Copyright (c) 2003- Cassio Polpo de Campos.
#//It may be distributed under the terms of the Q Public License version 1.0. A copy of the
#//license can be found with this software or at http://www.opensource.org/licenses/qtpl.php
#//
#//THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
#//INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
#//PURPOSE AND NONINFRINGEMENT OF THIRD PARTY RIGHTS. IN NO EVENT SHALL THE COPYRIGHT HOLDER
#//OR HOLDERS INCLUDED IN THIS NOTICE BE LIABLE FOR ANY CLAIM, OR ANY SPECIAL INDIRECT OR
#//CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR
#//PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING
#//OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
#///////////////////////////////////////////////////////////////////////////////////////////
#Last modified: 21/aug/2007 by cassio@ime.usp.br
#
# This script receives:
# $1 team_output
# $2 sol_output
# $3 languagename
# $4 problemname
# $5 problem_input
#
# BOCA reads the last line of the standard output
# and pass it to judges
#
# Next lines of this script just compares team_output and sol_output,
# although it is possible to change them to more complex evaluations.

if [ ! -r "$1" -o ! -r "$2" ]; then
  echo "Parameter problem"
  exit 43
fi
diff -q "$1" "$2" >/dev/null 2>/dev/null
if [ "$?" == "0" ]; then
  echo -e "diff \"$1\" \"$2\" # files match"
  echo "Files match exactly"
  exit 4
fi
diff -q -b "$1" "$2" >/dev/null 2>/dev/null
if [ "$?" == "0" ]; then
  echo -e "diff -c -b \"$1\" \"$2\" # files match"
  echo -e "diff -c \"$1\" \"$2\" # files dont match - see output"
  diff -c "$1" "$2"
  echo "Files match with differences in the amount of white spaces"
  exit 5
fi
diff -q -b -B "$1" "$2" >/dev/null 2>/dev/null
if [ "$?" == "0" ]; then
  echo -e "diff -c -b -B \"$1\" \"$2\" # files match"
  echo -e "diff -c -b \"$1\" \"$2\" # files dont match - see output"
  diff -c -b "$1" "$2"
  echo "Files match with differences in the amount of white spaces and blank lines"
  exit 5
fi
diff -q -i -b -B "$1" "$2" >/dev/null 2>/dev/null
if [ "$?" == "0" ]; then
  echo -e "diff -c -i -b -B \"$1\" \"$2\" # files match"
  echo -e "diff -c -b -B \"$1\" \"$2\" # files dont match - see output"
  diff -c -b -B "$1" "$2"
  echo "Files match if we ignore case and differences in the amount of white spaces and blank lines"
  exit 5
fi
diff -q -b -B -w "$1" "$2" >/dev/null 2>/dev/null
if [ "$?" == "0" ]; then
  echo -e "diff -c -b -B -w \"$1\" \"$2\" # files match"
  echo -e "diff -c -i -b -B \"$1\" \"$2\" # files dont match - see output"
  diff -c -i -b -B "$1" "$2"
  echo "Files match if we discard all white spaces"
  exit 5
fi
diff -q -i -b -B -w "$1" "$2" >/dev/null 2>/dev/null
if [ "$?" == "0" ]; then
  echo -e "diff -c -i -b -B -w \"$1\" \"$2\" # files match"
  echo -e "diff -c -b -B -w \"$1\" \"$2\" # files dont match - see output"
  diff -c -b -B -w "$1" "$2"
  echo "Files match if we ignore case and discard all white spaces"
  exit 5
fi
echo -e "diff -c -i -b -B -w \"$1\" \"$2\" # files dont match - see output"
diff -c -i -b -B -w "$1" "$2"
echo "Differences found"
exit 6
***end123***

[problem]
probnumber=1
probname=A
probfullname=Bits
probbasename=bits
probtimelimit=2
probcolorname=Branco
probcolor=ffffff
probinputfilemd5=3d80104620532811bddcb6ee7ae45ff1
probinputfile=base64:bits.in
MSA3CjQgMSAxMCAyMCAzMAoyIDIwMDAgOTk5CjMgMCAwIDAKMiAxIDEwMDAK
MTAwMCAxMDczNzQxODI0IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwCjEgMAoxIDgKMAo=
====
***end123***
probsolfilemd5=01cb6992846e7c6d7e77ca91fd1c401a
probsolfile=bits.sol
Instancia 1
3

Instancia 2
20

Instancia 3
22

Instancia 4
3

Instancia 5
20

Instancia 6
31000

Instancia 7
1

Instancia 8
4

***end123***
probdescfile=base64:warmup07.pdf
JVBERi0xLjQKMyAwIG9iaiA8PAovTGVuZ3RoIDIwMTYgICAgICAKL0ZpbHRl
ciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtCnjajRjZjtzG8V1fMfITCXgY9sHL
yEssbAAFSCRACySA1wZaHO6qlSE54rEQAsPfnrqaw5nhSt6H7WZdXVVdV8/P
96/+8neV75RKqizTu/vHndZ5kqoq2xVpkSidqd394ZfoP2/jvSmy6J9ucFMf
71XUOYYcGl7fDwR+GvC/i1XU0uYhNWmcpWlUx2X0R5xlNnI9c+x5+XdcAYzY
2tioaD7Fv97/g9WyibE5qbWvdALKqN3e6KSyWUlq3Y0TndLS2SMKtNHYdAc6
Io98hxKf49xE7uCR5tCPIr7aVUmV6xylp7u9Vkmp2di/DV9m/9z/5LtnN7o+
+aX+vT6dfv/snt2vzFxe8aaJzSpmfhfvdYWm6CKawQ3dAf71CNRRM6IK00Oq
DfnEMe3YkENj1I4hoLcuQe8sJ70R8fr163hvTRrdwee9mIu0xDxOg0MBn2Kl
VEQHmLLCTTrSoT7cSD+yLnXf8qb9g3UJCNS34a29gCjaBDJXu4+uvWFxUzMM
fhzxQhftWvQaOorjjB31OASxYGwVTRhHZYoq6+AcU1TRGzdyRNHXz2BmLXth
aL76p6blvWB82xy8m+RraOgOPIWitTaqg8VJvM9KjVeGdO+BaGBv+sNKt5J1
w9Pn8RPvDmCinP9lZlrco3NIj7YZfO06Draz5Zosfw7nA7Gx0XGe0Fu4dRMe
R9dnC01STRYJ3UOqbPsjg1r0Cm4cL2Tg6Yj3w3lXe8dclApAAZ4b/ZFhn9cR
iABysZzmSJZjw/uZCQS3EcCInVbX6ELAB7XYtoySoeXt58ZPnsJVTIMisuGn
gY/r0axnVIeOIXEFn1BGp6H/COhj04YoAeBI8WCqCFGDf3IYanDZUDaiNySy
FfbRd+7IAqmQAci1IV/+RyIDnO4W1o8ojIPSH0OY+EFSA0+lyIC1fwzoJdTr
5dOJiidykSjOBtdDszZ3I3dmZM6AmY59GlzrGPBlbngD9eAwsw0ml8AEcAdZ
KQGWwWYOVaEZiAIow+0BMds4TmffAjDUAKS9uxexJ7YAdsIKkT/2GKt5Dhbu
oRb2XpjQsyR5FNrLaMyqUNHcuQaeVQvhtREudd89zkH4KsULVUXvAGh1xhrj
Zh7xAqzOUWMEjGgoFSvHgJ5cVU8YH/j9kGapwxzEwHVHMM5ayBBU8jfO1lYY
/SQyDw20G+BTosXdsRn50MM6MoImchthe5x864Iot11KoNAEKb6mW+rkflT0
E2poogdl7AeKSMNZJIatFA/N0+ioW9cmKOcfxeGdW2K4ZVlC8Z4ilavF+SKf
+i5UARM1wqE0r58QNXAFA+xXTIEja0XNbmiWToUE00wN8AdMYKje77HMcP6N
7uDGrfxQKfbKEuoLHWMNBaaleoHs6wrLbc0L/rH3vCHMV8CcgmpIRb7Aq88z
DPqY0gLFjzN+nKBkCUDyyEqKv9BYwheJtJy+yIJxBji6UqzBpBGkxDA0dShP
B1GZiVpmdGKGw9IEKbQRM1TQrtqMIlUkhDAL83OiZwXcEdST/bTEmlTmaYmJ
EVupMpRnyOygrC6JPjmBXvSJgSogCacAgH45CHPPK3rTH5pzC0aclCvqrgyS
ZenDKHJwAbfhgNGzWg1VTaVZo5lGNnGKia7yCg9RalUUsLipTDpny3LGmes7
j1xYe6zJow+zY+bpnEOPHDm6tJfdXi2R0h+5BwzLwXgChZJ0PC5WokfDeJAJ
Vn8G/Lz0XsVXivq5I9fTtdCbWTU5z9/nZwFOuUVSlqXlwZsGaxq+odG4zalY
lQnMoEz/4VxWrIWBkYYMSk3I6OdYRlYiGTzDTUQjAl/Vb4zrQk74FXsnWQgc
EisDi8eqCzf5hr++LxNJVHYRAiifuA+ONQ8VEGUt3VNwR999WunCi2SnNEHJ
B6Y/UTD1L3Z4qxU17GLVsM/1vmeCVG5LrZyf20SlVoFMFPVXJDQoyWoLXzd3
ZYDcWCPkKoU/lh3GET+dz+tkveqXnBoFmys9M6WeedlzCuo57B2tw2ywFFgB
j7MgBpbDdVFzQcIVaCGe5Z1DpSwF7ifovEJQigW8VKL7EoXo8X1VJtpAQF92
1JO7mtZa6eAYC++4JV3cSnExRjFBKr0tPOxqxvKcZyJ3gZZGgIn044LAsRg5
1/3YQO0OkyHin84jxMB4eSvdPAIlH76f2B+AWYccMAUzfz+/aQpY+mEKbyzO
GNhhqnbjkm30MLEpmCL4kLNLlqXXc0pxnlOQYWmhUiDX4yMy+/Y0LM9dPzAw
zFao0FUP9lR+lAWVORevfhwwKk9UZTPJj7dgjJiRgaf+e+ubXCVZZkqh7zs+
7zZNtU1sVVZCtyGoSjQ0EMGv+wSaIUFs4S5tlZaX5WMrQDlYev4VIZRE2Pqb
2wGgo6nLHbGGwovtXwLGqeJc5QDA/e9p9ssj3hr18pyJyKv7EyUuLi2mZx7C
Rd1vvFuYoO4HGUqkcnSHm58X8PDupdfD5VBgVmFWwxh+lPx/2/IR+KxsJYvn
wHHhHHo1t7zSMxScK0nsTkvI8owb0gWR32t6LyVxhr+P5fKz2FeeoGl0xd/B
wo904g8Y269a9/WvYUZDSTCc29mWu2CW34IqtdXM0i2dtSqSrKjKXV4mhYU0
+Kbm4zfq0rXyXJjMVraqLa0XA7VJKpVuMm6bm/4JTrPFWZjbbN8XCWQJtKU0
MabK+AQke3V3/+r/9sdL7GVuZHN0cmVhbQplbmRvYmoKMiAwIG9iaiA8PAov
VHlwZSAvUGFnZQovQ29udGVudHMgMyAwIFIKL1Jlc291cmNlcyAxIDAgUgov
TWVkaWFCb3ggWzAgMCA1OTUuMjc1NiA4NDEuODg5OF0KL1BhcmVudCAxNiAw
IFIKPj4gZW5kb2JqCjEgMCBvYmogPDwKL0ZvbnQgPDwgL0YxNiA2IDAgUiAv
RjE5IDkgMCBSIC9GOCAxMiAwIFIgL0YxMSAxNSAwIFIgPj4KL1Byb2NTZXQg
WyAvUERGIC9UZXh0IF0KPj4gZW5kb2JqCjE0IDAgb2JqIDw8Ci9MZW5ndGgx
IDc4MQovTGVuZ3RoMiAxNTQ3Ci9MZW5ndGgzIDUzMgovTGVuZ3RoIDIxMTcg
ICAgICAKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4Kc3RyZWFtCnja7VJrOJTr
Gq6wqlELITOl+iymHMc3wxhDDkNkYiyFcoxp5hummflmmoM9Isqpg6KD1FA5
RpgiSpSSqU2rcoiKKZLSioWEaiO0hlZX12793PvXvvb3/nnv57nf+7m/+33R
el7eZiQ6dwfkyoWFZlgM1gZwplDIWBBQ7EEQgUY78yGqkMmFN1CFkA2AJRKt
gE0iNoCzAECCDd7CBk9AoAFnLi+SzwwLFwKGzkazJAJA4kB8Jo0KAxSqMBzi
KDRoVDbgzaUxIWEkBiCx2cCW2RMCYAskgPgREB2DwGIBOpMmBHZAYUwYYT7r
iQwzuADha5ku4n1rRUB8gcIUYDhn0whQmKRzYXYkQIcYCHNPrmIapPDy37D1
o7iriM32pHJm5eeS+lufymGyI/9icDk8kRDiAxQuHeLDP1K3QV/NUSA6U8T5
sUsWUtlMGgkOY0OAGdYSA1p+rTMFrkwxRPdiCmnhAIPKFkBzdQim/+hEkd+c
D3MntwCXzWSTv652rulFZcJCn0geBIDf2XMY+x0rQuIzxUAgiAFBrIKoWN92
wT8Mc4FpXDoTDgNweCuAyudTIxGKR6RAeCAKCzBhOiQGILHCsTkG5goVRwBF
MnsABpePmL1XKxAwZ0MCwWx1roAFCYA56ztU+DaH5+Dff9LJiSuOMrPAAWY4
vGIoaGkNEPDgnn8j0kR8PgQL5x6SIqpvmMFUpAtBYoiGkD/l0mwTdp6qTCqK
cclrKVYxEuhKChMe3kq8IrHFDLywXfaYf63ZB1o9qpGosZNZop4+5H7RnM7A
v0RVkqIborzNEzs0GpZqGeVkeC8cpg0EbV9wL6tepsY5e/CtfE0v75rJ8DP9
j90Rt1RKPfqxhFzU0CHlovan02MxrNjGl3LV03T9N+mI4KwbHiehrX3dRx9M
Dm7k5nHl5+/pBGV81JyRo2RdrazOpRJichZF6YnEbmoxaCRm9DQisJmsNXK/
c8RN3jaLdK0eb82WAPNW2OlJ/Oyrq9wp7xa9fmREfK0nWdJKjtuT7raN7Ptp
ZXHOMlrRSrbdxvOo+VCZLKCWYw/X7e8t2xy3jFXWgrNLw/KunURvCZ2YRo8a
HFH+EPz584t/fUlG1Q7TovTmIS8t2GZinekQYWgyYPQQRKm0HWjQ86eGn3gr
JDm4vVB1TK7nNDn0RFePUwA/4pO9Wk8vHNCX4xD9NhOcU9mmlACT8qqG40Eu
4nlE/7vw+p7c93/crU3OxG13dQ58EVrj025yT3r1dt4GTel+5eCGKlfXPIOq
RdyO1046evaaurba6qSgXh8gPEVe1yo+Ohh+M3oZfnJiVYmN1dnWKds3zem+
DdeGCq1Wxai8iV/JSsEM+hhHWb9TuuUuDY1ssZZWNPy2fN0puk+02eZTrJIi
96IkTuQIcfHJYmLZe6xSdvTND6SqfzKy+EeBUkP32I/GRvXokPvSEaH6Ua/P
uaEYvr9DTa0M5sO9lyaiInA1v4bgbYPCZlrtC7fkn49KjR0eabdcdTAEYaPa
0/GaiOK57E6P+ZLwqWOjSFXDpephoBx+Wyzp+u0lk/g6/ma+hkjfzu/iWvta
VOntV+OOm81wGgyfKJDtb3Jofs8kml6dy5FqoelavfecqGGGcmQDRfMO+QMS
bqjmJSe5CtEF0xV56VvNY3o7HK9Y6Qk9xnNtYO+15Eq28bwFXcrjY+nI3o/8
fWfb3AhXs1PoDp05XgGfcibtuh9NivZq3h861Pj8hgWFQfkS6H0yVIfBS2s8
ItMqYLQ/Mi23vw1ik53aUfmWmanbH5smW4f1ZhQhy2Rnzqr1rcDXRFtKfqrO
xwgdHqpcaL5eXyjoqkwoLeg8F0YMe/DLO6/sT7tOmyay2sFliCPjZ8ZNaaEI
raTAIVXOuyWOrZkGlV7q9dLJ52F8C86TYG3x7ncf5u8/X7c+LMLx2W38rnMG
g2NVwaGeR5YHZ1iZld/BLEy7UfqUMKIPdvhlxFp2+dh/tCUbhzp4WOmkrlpa
0RM6z/uu/3Q+raRvNdZkgOeYkus1YbV7PaNyn0TOOS4t+P0Mmdnu2LQ6v968
cdQi3nrhg4TGZJ8Cgwwl57G9RW7UY+9Vdqj/vLAurT8ge43NVGRFkiESakg8
fGKie6ZptCLvZVG7byRQ7Tc5sOVO2pMNwVc3zEy1g7qbqJJRtV34+8/EbjML
fCt0e2mfr5NYDXJZf9ov958uvg5jrwwwWqY9ZTkX2dFY1T055a3S9XrpU+3N
hSGZruPXfyLj2vY4tSBry9YERBUuGIohli7ERdWd+BLkecBxbMTGtA8Tu2m6
0viACzngWL+/54oVzlE9XWVBD8XT8uaxQe1Rv/5jgahXam1El7F4nZT4ff5M
8uoEVZnPziP9yNj08yk3lIe33dN9G7jyCt24Rqlj7NKiCGmrwFrtHyzkzti4
aelamDgCbmsbPp5dVkQM0Xoev6ldmeXiZVshSppEeOnUTqbgrHWnKi43FjYp
FT7W3kV/U00brNFsQpabBmTRRLEkKjmGvvqVq9qX7vyWOIME0lEN33G9cfQ6
lgfveSrmjp1l0KmsmRMyafHpcu01Tpdj2+rW1d39lVdQ5E6+MRTSstmzoqxp
g+0fnmkth4uFdp6Ld3dq09U3pg7piy2fsQ/2qpNjesK5O2TLr/Sftiz5eSiZ
LOBdRh9GLallm5anrovz7pNsbVnBQjEPEnyzKJkY6jVnwz7272WqzfffLLHr
XPrc99jiuBlCYkm4V0JbRp4nL2/AadX0T8fOdKtzkafvXsjxT9w100YYCZmP
tAzIWZ4psvLozN+9lAX+hx/i/wL/EwI0NkTlC7kcKp+F+BNxl1mpZW5kc3Ry
ZWFtCmVuZG9iagoxNSAwIG9iaiA8PAovVHlwZSAvRm9udAovU3VidHlwZSAv
VHlwZTEKL0VuY29kaW5nIDE3IDAgUgovRmlyc3RDaGFyIDYwCi9MYXN0Q2hh
ciAxMTAKL1dpZHRocyAxOCAwIFIKL0Jhc2VGb250IC9CSFpFUUkrQ01NSTEw
Ci9Gb250RGVzY3JpcHRvciAxMyAwIFIKPj4gZW5kb2JqCjEzIDAgb2JqIDw8
Ci9Bc2NlbnQgNjk0Ci9DYXBIZWlnaHQgNjgzCi9EZXNjZW50IC0xOTQKL0Zv
bnROYW1lIC9CSFpFUUkrQ01NSTEwCi9JdGFsaWNBbmdsZSAtMTQuMDQKL1N0
ZW1WIDcyCi9YSGVpZ2h0IDQzMQovRm9udEJCb3ggWy0zMiAtMjUwIDEwNDgg
NzUwXQovRmxhZ3MgNAovQ2hhclNldCAoL2xlc3Mvay9uKQovRm9udEZpbGUg
MTQgMCBSCj4+IGVuZG9iagoxOCAwIG9iagpbNzc4IDAgMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgNTIxIDAgMCA2MDAg
XQplbmRvYmoKMTcgMCBvYmogPDwKL1R5cGUgL0VuY29kaW5nCi9EaWZmZXJl
bmNlcyBbIDAgLy5ub3RkZWYgNjAvbGVzcyA2MS8ubm90ZGVmIDEwNy9rIDEw
OC8ubm90ZGVmIDExMC9uIDExMS8ubm90ZGVmXQo+PiBlbmRvYmoKMTEgMCBv
YmogPDwKL0xlbmd0aDEgMTYxOQovTGVuZ3RoMiA5NzMzCi9MZW5ndGgzIDUz
MgovTGVuZ3RoIDEwNjkwICAgICAKL0ZpbHRlciAvRmxhdGVEZWNvZGUKPj4K
c3RyZWFtCnja7ZZlVJvftu6B4sW9aKA4FHd3dytaNDgECW7F3V2LO8WhUNyt
SItbcdeiLRBuuvc5//bs+/HeT3fcJCPjfeaaa87f+6z1roSGUk3zjbgFyAwo
A3IEv2FnYRcASCprsLMB2FnY2CRQaWgkXYCmYBuQo5QpGCgAYOfn5wDIAM2g
F9CPADeXADcHKg1AEuTk5WJjZQ0G0Esy/E7iBYg7AF1szE0dAcqmYGugA7SG
uak9QBNkbgMEe7EAxO3tARq/Z7gCNICuQBd3oAULKjs7wMLGHAwwA1rZOKKy
/kaSd7QEAXj/HbZwc/rvIXegiysUCkD/L0wGABTSAuRo7wWwAFqisqqAoN2A
UJb/G1j/WVzGzd5exdThd/nfRv1vw6YONvZe/5UAcnByAwNdAMogC6CL43+m
vgX+m00ZaGHj5vCfo/JgU3sbc3FHK3sggO3fIRtXGRtPoIWaDdjcGmBpau8K
/Fcc6GjxnxBQ5/6FwCopLi+jJ8P07zX915iaqY0jWMvL6Z+qv5P/pdn/aKg7
LjaeAAM2qL3s0ETo+7+vjP6jl7SjOcjCxtEKwMHNAzB1cTH1QoXuHqjiBviw
A2wcLYCeAKAnFJiVxREEhk4BQD3xA1iCXFB/Lyg7B4DV0uZ37N+SB8BqAQLb
A11d/wryAVitXEzdgX8i/ABWU3Oot/9EOLgArOZQI+3tTf+JcXICWKGt7U0d
/oSgac5uIDDQwsz+31vjv0e42ACsTqYuQEd7oOVfUfb/iv5H8u9uIAeHP724
uAGs1l5O1kDHPyHovThBtxvI4k8IeifeQBfQnwD0RkCOf26DG0oB9vgzzv3b
HpCby58AtCjwf7Bw8wJYHW3+rsH3G84e9IeEBzpJ4o+CTpD8o6AE0v8oXqhl
8n8UtJLKHwXNVP1H8UFJ1f4o6DzNPwpqj9Y/Cnpk/OP5/zCX/7eLNi7mbg6W
9tBd8k8YyvfHWH4og9kfBWUw/7MN2KAQFn9J6Gr9tUnYfpv3l4QyWv0lod2t
/5LQBfxry7FBLbP9S0Ip7P+SUIw/m4od+myxOv4loRigvyQUw+kvCcVw/ktC
MVz+klAM178kFAP8l4Ra4/aXhFK5/5EcUAzPvyS0r/df8ncpG3uLfxv0vx8Y
EhIgT583HNzsAOgX229v+QH8PPx+/yPT3M0F+jCA/3UeQ8+d/9aWNtBTCgj0
BJqjLs2DzAVDbNNbwir8pYumKxEYYSWsWhNUGnu+db4MXkyEtS8dU3RmXG/Q
/VWVhYuxh7BH4fFI4hrV4av+ReY80DkhYw6y526yl+XdRqL7I0vZa9eJ6i74
GPNzy+z1CTes6tf18YoUveLB3Iuh4wI1eimtfaRVSpheA/em3uwQHl5dmSx7
7fDQBlpOSg2sDOeKCK7wNQ+slCT4talgf9tw5E9MK5egDjecX0XI+ckQwzv8
eGzzDgpOjS1GPI190ZPy4nAszPrngZFasWyAlaYLYA9hGVljTD44DzesNteb
WNp45oJwUjpC2f2cua1Dl/KJhsdovXTHmJPJ2LpYYbGE7SKpCFQdS/cT2Rty
BEi75y/sUEwOoN54f+6LmQwuiNUxZNBHoERvs31NqD+YlT2N582OcZ2jTSzu
j0rlJJry7OMmlmUk7lfqimqzjfXLVoLh0V/V7CXmwJCQ2mEeYV4zuZLigAah
Cyt5nNjlpkScF0vthqG+2rcYDWzlx6/KWnC+3TQ4a9ggePN1MY2yGs0W8UL/
wJ3AFM+QSW5LEnl80YI8VMYwNB9T7TBnNuG9j4jlGCrSGISI7u57n5sYs6ir
O0Tqxny8BSHlqqf8Ew8OWgYNHQN57wjSLZCqclO07WcvkKnP32Zbw7SsCtSG
vBQdCqJ34YkTlACvIY7x1Maby/SSSA67TFCzClIyKy7AxjoXlCllpZzCJJc8
AN9eb7hhydYuADJOimA/fbTGxszgTdsNvETEk1f/buAGz1HI9lTU7KbP17yf
zljV+xoxnzjz8Z4o1/nTynWqWvtRzmWbb/fwRJp83ERyNDEhVosT0O/wdane
SvhbPB88VDlEV/r97Z/9fkQRDSEJkrDSaBsd+GdHMDsxX8wjrh4FzxeXBmBg
DYCYrJoOL3Ro659RbRY4hguCHcwN2XrsTiXpXJ0Ydtt12doOosSo+zlsv16p
yjbL8jdF0NRYZt7NEB4pKZxIiXU7VMJkrj9xmHGnGZpbeFEGRf+wORnxZiKN
qbH3bNk1rUNK72IaHuNo0hRzu5UnOdSbueWWEXG2ytMIUJUGeSgy3kOuFocE
WaMzIZiu7VKNU/iluLLkRcMFXzyFRZooFCZ3AW7ZtkpSlluLGHfDYXY1iFsF
8Ji1bzafbJ+Ml/wrW/BSrdPLOjxVMoB1GAdN2YlxESbyl9fJKS+Olj8JKMdw
slBR1saDFOS11EhbSmmjRkFOidTGLxTntSW+y3b4tM9bke/VJoZvZYx7V5XE
iTY3DR9YEvSWsxVX8PYBJ+jLRU7jhdLJHG5KUE0NnEU1OTamEIa1ntwTQSc7
K/RInEpcm1vi8c8kUgwlFlWhAeSvOX3d9hks9E81mknZP9AFYC5EjszdOO4b
0alSmv340GQV1YIQaSXwMTDu4gd23D7SBmNPPGMZa9Tcyt2ifcTUMSwENxfI
B3gQOcoMsnpQn5I4q/FpHAUK18Nv6b9Lse/kfp8jMH1PbLdy5Xxg6v88RfRR
kfas9hDNaybw3fe4mcP7m4l7Yr0asdlwyCn3W9JSd5duVnvLcP3pX6/oc3nu
cTIL7DoF8S7lk+NMZTUwixD9i4b9kh7hOtAMnoGVsnPZ6xnf75itLNiqskx+
xKPPaIbC6k4JeR7obivGPK9640SfoEgh1kctRMC07vg0wp1SRPE3fJe5TS/A
HAQMBA5YNnEWQlD0wyewBZNRsNmbZF/qv1Bqh/Ei3016UK7SjKFH+XYYwEIo
uIYqw/F5UWVVVCVvLe34iQEHhkb+pCkkGgR6tWZnI8Rs77H7Gs9l00TBvO6n
HOSOquRgX9Goe9KSinJzM+JtVuZK3Rw7uvYDSrf1z4v7IMt9LvEA97qMDlVb
xmUMDoFevaeiCw3GwoQBcs6C5HI8s0r3ku0+tSCPM/TixDxVeBYVnLz3+lN6
QosgdcSaZEsFsNZcgK7dar1/PqLmdowF16v96OdPDq/rJvXEgP5JS3HZnJsF
82I/XbSsL62whQHKH2qHrqmOWoFuQL0yf/uiew84wPi+PV0vxNQ5j4w99YZt
7P2eudzbgPeb4V9jhzqFkUaZMKbTwBy8YeTKR2iha0Qnc9nvtSJwcq3cNGZr
MuFHR+b2hkXkggPhcDR0KWTwEDM6LdWVthth7AKpy1920/YTjHxVlXjPPD/U
B//4WYHqTvi27kRNL3ZfR2wNkuEeHuc7XO5z+emMjoTO+RtEuYWsigjfhWDN
67kiaeez8iTvIBNxwbP3HvQnwyFup8XQIuLb14lXd6MLbQI4KvvckgNRNoho
8vfnkpqLiJP7oyp2+Bo90So239f0KAKZJeQhcojsj+0qBGcTWzD9xrbjOU/R
WtuzH8g2Nj+9/VEM42kV+p7mKFyxCCnsTTDySfGBRcmHFs7ml4QZJlTAYTJJ
Ri/8xvuJDTmgmHBs1bTP5ykn32aeX14+L6TVcBaDxIQVRthxv4TRC3i9txqZ
8MusvGWP/L4y9uZSKo31yzM5+cM6Wtxpy/ZYnXtBaU3mbSQx2xMLivYH4j7P
Db3FAO2inMi5JYYlC/Gv3QoFSZFuZzxLtqxayEMinM/2HgUX/q0vBbPkm12l
E2R0wDRpwxzOwbrlC1kFCk9j53C6cbnl350nlI2Zqx7f1bPmt3bWptw3nZyq
hjrnRQrV7ndQSE9ErVyBRNTPr8Z+tldwPO/irH+OkK/Vi+/AsLPvYaEBKp/8
Quf4+YPYVVbs2P0HvYcEmRK3x1MQAH0wAG5LHigZv5yqYfnjtfijdFP4lAoo
K1Qh0a8hSB3r89pxs9fPD86jaQ2dXIugV7Bp6SvXYRVxDkTATt/WSq6uKiYR
EAb8i5p1Xp4L1BxX/9uudOZek43AEwdfEphA8AKoFPsDEizrqj1FylYoynmc
W2bTsdZdmoYVEk1Ir1h0bTi5CHKp52nW9Cq5XWZ+M4dnq7T3Z7v8M//vIhgk
JK9zOgm600Nojd1Omx+PN0Z4iVqGIwrX9BhotlzC1ism2NgSkeMvSo+DUedl
V4aR+EU5C49ZXBqiqR0JjbGw1rny9XTRC78/PCaKo7iP4u/kX8lNxDP65Oi+
4ArARPNlxduT+dT+nihHGz2FvB3HYmo8tz7DwOvckiWPVoE6SoZTCk7REjih
HpGuM8M33YH1c44C4cb6SsQufvfQZrKK6PtDLUftPXyo2iyQ5SFQ7Z0NCtGv
3RQRhi51y2OEB3mioUDlGTV5nY/Has+UTXbTF5Y/qgfs8/ySs96XUI2Rl41r
xpW/FYKbaOZiWm4tbonxCh7wK4RNmt7lOqqtoY6OkTOgGCM4X5jEqFWcGJHg
F4IJEheJ+pZzxlvUyvsqDoJtllOBpI1rg+M3cVooqC0y/vFBjTGhiEr0bn7S
srLKdEvr9oRXDNjHRq/5VIxpkEvx3GaI4ZbmWKZHuTqIlpcbZ4Cf5Fj+NFP8
nCqGIVWRNTHYj+8oiLGqRe2GFrYXWXKi/kL462t427RI47S2WqG000Vy208v
IAuChbg4V3PnZYx+5rx+mFKW/sJBFRJDuoFsNeuQ+DzvRCGDNvfNVtxqUoU+
eK8EAEbm7Pyrlz8qYN4TPYFPp4n2tJTG86uCt3XHAVHO30U8uMXGyQfbfAuY
1vIlhpNOL9XYtI58Tx683naPnEoiJrq5+NMfZ/f3v+PouG4T4fVuRNfJwkOo
QOa6nViSjQp3TatbUmTS2qsYRSr2Ee8PqgiF7bks9jyvkG4fRc4VoF2qmIgb
9Y+KHTebu40V7yqx8bVlVkCpob3FwCduojD6kaUKs1+mlGhP9fApLw3GLZhp
bnicd1XavxMieRKdrFnFkzOyq/81eUatovNBn9MitZzZJ9xS8unnNsamC9Vt
TydOuvIv6slLqUN5Mb6ONS2W2JBBiKN8SWTRSy5U6rtOru/P/QnXOc/wzgUj
QY/DdOLerT8ON2mbvFJ5vrxPF/4p5Y0lQY78mBEqH9oh1PrJjfNze0c7aACO
3eJu1/OaA+eDxrpfgGqN7rY3AFvinmm6SNzgPn+KnA7zPp5xEh4WHOm1cOKB
KOrwknJ01xjO9ULvegz2/cXLTBr9lbW+aKfPiJrcvrA6qAwe1Y+wt86eG9Tf
TyY/W576IIe8iZZq0ddxypk0kZ3apSpkCoX0gU7yJlcsUuBFQdWDLBNrIqi8
STwGc7x5cJY+o88iQsqqeBHVVdbLoppT0+YXu24Noelwu2sz2AbyvfiZVw31
54GYtcltGWLFaSkD8cGkJj7f4KvoG19E0G2MrD9a627AqNL36mc4Ena7Gr9b
4nDkNGcxC8GNrX4g0fSTW19SGcwb9enaQkD+lhVeGex54lNHhMcbyh9uEePW
lf09cT2NDamBh+OAkuxlq0zgJRfJazhEksE15lJgF4wqTtqsSS7ley/QUBRX
xkWNtZ/cR0S3UJaP20ufx6MoJs+052rQSJdV0KIsD59jGzORg4sw5tFyaMM/
FglB5Oy1rio+eEsLjYgBYPKHf1IZtHZz0pjXhi+4CD4a5lM5fEhxhnX1JvtR
9UMvxeiwNaKdYGrh9EfjSaoUipt5RbFRlxs/Bf54YL85GyoLKw8zcOFttW0+
VVeL6A8C8qmMm88Twqsiq8KhvSg51As2ToNRrKSz9OmoIfhhh15qXY+VQbQq
CqP1UnXxP1YxKW8qdQwfjF9bzFIQ2nroWxnHFSCCdhlKwSerrr1cCT+SFwS2
5VqX6R7OTssaKRT0V8qkkZKI3bKGl3qrO2fNCO3BhoYtXb3EIdwcSD8xUHHW
T2jz+l8M1AyS6JHtXB4WSgS+DxwLub8+5T5A8OJ1J7oqF335qEKJDYuKvQaZ
Ya8YVDtmlyUywZQJZn30EfWsImp+m6h6GP2RBhKGQtDJpI9mVSuTg1+NV565
NwA0GIgdp2pNx6p+Ke8wExmyRYwEOF/kBAa2SXl5UymB9SiZo7o96hOqJjdQ
TKGOX2Saw9f9yN1M4SzOGz8lsUUNu3kdQt7G3KiSahBvxlcYpcPrJUr3yZ3t
9lrtdAbZ7Jybc3ZRDoMu/56dofTVGmUJYJs3CnW1pbylkP/iel2vbiuJ8DZu
r5lJ2yglNPelrmNZW2hzRACWZkBmEUvkcPHGT2LQ5hUO9V19QeZN9gA9jqWP
a8cMpPt7GYyuM1WcuXI/TTORZYc0LZw8TsvN4NfXoZTXmDeVH1AKwQlLIfXp
yjTJvCCfzHRXQewNhQg74DTxnDZ28re4D1TsJ7ahUl/9D0WPldj4Ssc/Ch++
8QYez+3o4k3OmukMBUusDj4zDzlXjf4cdQjntq7Tac0aCInNbLlKoFH/tFV0
MB2aLZh7tmVOuAEzWjb3mlZskQbhM6tk4Vi4kz4MuE89bJW5f7cfEhjcf7dn
iQSpGGq2CLrEdzpo217Gxld+9wb2cir4bqIRj+vmEncrcTKWjIxZX1LTfbYA
wauYatkwGRU/EVKyeWF7I62+Z4/2bqj7fBWdFl15bz3pcFPEUhASIBTK451S
8HkzsEJW3VYExsjfUjz2nFRw7RRMIZJoCN7zflc8TYAZO9A7WFNpwz4ZpFK/
36MaR54KcrNhLGahmYRtemMPlGnONwwr5rK5EckqoKhbsi18wz15E2Lf+NF2
kFjOtLfDJB6WtCFugeIbb78de9crgGPxmLHPoKY3gYEffzgGLCLvwK7dOhWB
6KT7QKrmY0BH0MCw8kcJwNkBP0PTHq0LxwuIrEnGgiLq5go3teaw+FalSFxI
RMdqflE312uDLIESsq4sp+ZTl063qdN2bhKlowNEBbBI5s0tVmOO2rGHYVHX
lCQE3vsxHEfk65tRM0nst6u4LR0W/XwKL+grhUvowjRa04PcLm77FN21K5F3
emPc2Z7ivgFEUO5kzK1K9NOpLmDed6HXDKEB0YhsTQhKpPtqfqrVyj3mLoZi
XKpNuYZX4j3zDozI4MsP+aZrCMJ2Oex6bte8jD5alZDGrSPo0zbM8tfVOuyp
tr3BI1V7APd/msdPVK12hZ9fcxw+vzPiOq3FyBIOKC9PNqhzWEbA66yhjEsc
NUUn/baNg0GrtSsmVQn/6q37WESwTXEakc+pqKQDdRy1vm/fxX12n3eyy+EK
EhxQTN5309VKqLTVv4u+XpcKO+Cbg68vvLJub59pfbakglSy6YDji9wt7wmg
K35WaL2d4a/LOckPvcUiUjdKp5AabIOyurtjjHZJk0D5CGXfqoAR31bkMX/9
CF7fl3wFRtWdy0in9w03Du0ET6IzS1/Ou5DRNI4rv0l057rcW4YNosD1EM0p
sKZn6ricw3ArPDzB+yat39ZTkbOaPNSfcNY5PSGHgMLegTcC0dutdk0AMvWy
T+hDXF/ln8sXByxAQLMltSa5hN3kCHvhXjRX3c319y9pg3F0XVJpGd66V++c
fB5ivl8kZli20PSfvXqPvviZS3VP75X6GEFFvv0kOm5UyByFHNmli2RbVt12
EeNMX+ZcLNpHEogFLKdYfvvg16pXw6fSOX2m2Ps4Jc7X8Vlrk6q6J2JV245G
xKIOX849jNfqb+B/cXFtELWeW+GwJW6dhrYv66IdDB+NvjFvMWe/GXFukNXk
s6ffn6VkccgffkGRqBmypsuRhFZc4BhdobijLRHuVUrB6KuOOMlj5b8D7Ium
wy+HjWFtHjOC/j9jxdff6aRFWJzZu3APPsdFMm2ybdyusSNzZ6kRHOnz23x3
UZNjNcvvTcxt/mBHk9xLeUdBfMPEItnjrRHA++adWwp2kaZxujGbC1/tWMJu
JAL81k4cAYEAT8FY0Vb/JzBtz4bfRGGTTg+CTdXZTKPk+wAHFLiVdoEnkZfu
K1jI2Dvm3LHUM/7Kd3KfRsxpT78T7gOnOoT1L5Ur1wfJWcxrzGORyHaDg7LX
HN27Tb/AsjFcWqQ3ZjamUqZW0YSXYehEqBQOq7xRB/JXoiExvekuDtNYw49D
FhtS8DlWq5feEYdktf7gUyZnXmtg8KTXFR427M9+QFcVv0YGXBy3CvNF1y1e
SbzLpTyDezuGNOXbRlj0guSo3Kgs+sAYBY2rcCN2/kmI6aWl4p1Zc6RyaqS4
hX50ReuZcF40u+Et6c+D9TK6SeIv+wn8ODYsjGT8HU2qQ+Oav6AwlY3eQ5PW
QIdAJiLZ4DZUR3Avy4VkIosjZv3iYR2MWU3GUq1zsRPPq/zoDK8CQgpRlZTY
q/gc82p33Q11/Ee+Ut6pJ67e19ifVJx7QzzSZHuuIS2+VefvKvPR8zcf/TB7
8+F09EeOafjR5AfpycnWuWB37LPwSNkevMDM31XK0mZbso44HLMbcIFqDcfU
zHejOPT5ynR2ZNGSOc4TtOqtmCu8hEGN1G8aCHrU2FHo35pRQvLWW2AWL+6G
e4rVPRj7nfxUU/AJXYx7Wr4VdiR52HYpCm4xahmhkBEjrMrZIjwUYaZADvMJ
qCtCxunQsR4TwUubCZWaXwni05RMTg7Te6TC8lxkQN6cXipG7uMIVD5B4Ov6
GRx7frpPkRToD+KLAjiaMmayM5f260zjg/0X15doCOx9VsewPxt7CV4aoT1w
30Vz6a2gJwajTCN0CA5QDjAHnpeURcGfL3Q8+BasngEhtTNJBpGuwM7Q+bNx
6rMFmavboVcmzWJ1Wg9ub6j6SuRUS2QxW2GIzQkcinxDKNQa9uPX6U7UHRgB
p0VIH5LjJqRQ1KOzk3bxZ1n3RVqYTM5YELAGRw2DfBxl5zji4OF4dGgFzlSl
f0nMiauS5HGsHSajzegYmCiMyboMViOHOm/qjrmUBAwYn/qrcaG0mIDP69CQ
RLPZG+uYG++McUtyM7Z9V9gmvZQ7ItxFmZ4BWiXc1FT3OrwCL8ikgHfte7AP
mcNhtB/YIPOKTuO62prlkU6+p3f3VXFDLa4VXO+xWohpKh8rP6Y1LWeGirAE
87cTFD02czN9+VCJwDl8xQBuFF4p4PgsaEBCZuWQxzcYqgGzRkQ7yHusRMLJ
fOZhR7XMZq1oYJdBgeVKyIvTpd7QWINSFb9p7Cf8SYYFLuaXqHS/sJF6+0q9
GgnbfS5MY/V7mZqpoIClsLSyJZQXq0ta+fiiePG2Fm1CLkjV6wmjQV720bGi
pPgHLlLzyoGELS+jleXHPBXgcpyHVfVr1ifuIzFkQsj7MRqDhhACoxe/q1Jw
+FWzivIJLqpxFdZ+kzN3bsi0IdrS944pFR3eB1Ij48LMpxU7lnKPrvwYvtk3
7Y8DqWIkhUtxRyTXkduSvtK6jxk588K7BlWyUT0EJ99cT/80GvoCRrIaCXsY
bPYPLzIR4XIz9b2Ljx4ORgGPa6aU27J0whMw8Awpe3eYl6i431aUxDRqacRL
Svz85Bi5UQOrSEaFJCNkeHee7MxIlsAGKUe3IDsZhB1B8Y3t2k3yx3oON4/i
5OkFuX7dvauN2FczlQJvLh+EnesNsghcVrkoSxvKFB6pfgu0ZPYdKtkq3viK
1tG+GtymxVfy5suSSdNBBWku1VYy6JKJ0pHh0JRgjJX00uwLi3T73kdDcQ13
8XFy8ss71CQgIaMTo2p52O5oJ13hPBfpcD9kYn4/gEJSDv9Ny20/p+5i3M5Z
Y9HgtlWR/q/FLzl9geaWwMt20SZ+cvdQMVV/UgGm/AFU9wrkgpAd6z0MBVzS
1BKihLHRzqThyh73A45U6laRtbqfqRMc+rNFMQKzfBcPC0uvLrzjmhVe0OWS
imoahbc+38myxqhec8nBigmLCBuv1978GmPeV9i4SXAPsCPdXuaKB7NXJ9sw
HI/kSe9SMo1jcwx8h3XE3Ve4MQprXmBFlv1qLKZp7VSnu//tk5OwqU7VUekx
atGsfmECamDr11dM1iMxFu1E+I7U9u1rjFdKuOYjLIw4BxpjO0hWRAxXyuyS
RzwK2RsMQJmI2puoXEsna8Fh5TrPPOFjAnTLxI14wVxWyfaqWRS5a0zcDuGk
Po2iMjQ6W9Yj9kMVMQb0qex9jmSffOuaczsLiuZ2YeCBAuRCJ5i8Scm7tJnS
FcH6l5pkT3r3h5zesDCmsR4M+JcqkD4xVIfsIw1MMT0O6w3n1mBnuz7FJ7mU
L9xSHfhfgK6d4RCKstP9wna2i9R7x6PnguH31xEXF7wfDFQRZ4lL72dbw/0q
xHfQLxeRzWXjp9yHpYNZLlqpEAHDFbN2tXKdLnt+cVVpzQClFOEFj2YDJzXA
ZfNyf4veReAO2YtFRZD5dyw0RJq328GTXWlGwxkxwsCGLDfLYOAOxLqN6p4y
nExfAJlYhhyRUrWfTD1M+3AnYxJlFd2nvj320uiLHpVhqrUrCpi9O5ZLUOmb
DK96UvCPDWBZxuBiNRYJ9RN1+0GwQ3PpCv20sTzpVZEki0VkwjxXe4qWx1BP
DvLWCtcW4EOtgxZcCX93djeH71hFHuFu4tsf+wzJRMlP79dxjY3SERZKbZRv
k8JpSV22rtZXWX2wnX26vZyj23LFi5YF1RWMRTP6jPKDKV/EiUxdfDFm/bqz
8RSxdQums7rCzRr9lN4dpmPPGIygBnYkKJbWMqgl0IGYEh3OkbThkIP30c4C
4yGcutRSY8GIWypVmHmNce59lUQPr4zFHuisXr3IvH1RmIbzYnR9l+jHtbtL
O3FYSjeb+yt3XSvHz6zi2pHHk6dpVCQUPLfsT18AcSBNBVJC6Y6qfKmBSRVe
s0aXV8/Z2DEnbJ+QQIDtk1gdv4Q2xi0SRlvKhp2nOFL6b7mMX7Rs0HlpuvxN
u5yRctzw6iRyfV7yXPO6tiMwyWKUY2y9uJC7RUj3nIvrTI03Gpp2Atcu4hTC
EsHV/wSPkn+FobKO8eoLmPiAfzbaSRASIH9kBMM3HmnwGm3W78bv2e7O5/sa
Nv476zFFLwVJXPyrdyas28s0S2uJP7uwSrvWrMg0Z27eNNVvLLrlNUSA9/0q
iu1sfXHj9fJcHCKtj1q4FEl37mUKSE61vy8gky2sYKbEIzunYyWSqNBx7u+C
eOC79uL2584iOBdfpVxV12pdMlwNgeu9HQdTLQ+E2TUjiHpU2fX3mnsZdm9w
OzNL9G+W9gxzkJbGuKuWZ8Z/divyRPM1TnjaGUfuLEjKHOFUsuLkp9N+rkft
c3yiWdZECgjzpyq4Tk907XGwv3jOwSkf/s61LGP1VubxY8iXM6JIfXpqcXqS
IoUjieuXwWAl/pKOqaXwtdv+HJ/nN3l3kjvPr12ZEUx1kBq6we9zh1v4z6Pg
KBYNOjDcbpG5MsXl4cSOYZpur3RbESdU9qx8dTYEv+FfYHk6ddwWhle9mKtv
5yhoEZAw6hSzMcT5lCV3JbLQlnQ3HVGRDmPx7l6xDRUoLOSlqfI2peU0H1tT
3i6AgmESrvSuPuGVDd1AFZM79fLiiT2GkgyJWzkNmG+BCyHMokC4hmWhWist
/957/oivpDC0lo6udMTVBknI9Ha4Su3y7YlGnORrLlkMb7llo+935NnGSlLr
i9p0GPGEh/jnGwwfsmlTbyGjj3fWEtmLH96iTvF5j4mx0SW3BVE4i5/mQnxb
Y97Ns88IbKrQUeC7qtB87AvrPfapewXzJWSwgOD6XIRCxGoJ/h2sM3ep5phz
UL+oHDN9ytz7upnQj3iHTDrVZmpSesEeQYj4MieGwjtV54kQsExTq3ksnhl7
9NiEnyltFqcMq26EeqNworfp9rprVrDP8izw8MqX7Y6PaGP9kBrSkeCcTi4a
8EXIcEYlbAVX9tErrLvY7GrPRKGeGpsATfdwevSBGyL1K9rhJk1YpboAQtS2
DxnCJRZMx0n8tVqa5CfsdyGxjmBT6K3tP0ZcRJthaJ8N7+z0ZoG+KuHUk68P
TY3UvCfmQOFXBT9TyvXXeg9a/5jqfK6JXHRlsIpVKgV2Tj8jp2FYf74fJ7qP
5ZQ1v1ToLIb48/UQbzeCw4myFo15mEet1kttz8EWkYnLjMmm6fSRHNy7ahg4
Av/Y3uW6bxbf7Aw8832FcN4gi3y2WY4EB2+VD0vvUw6oL6VDkN5dClnLK3Xc
N3FIfARoIlcR2xjNd27yyhW6uInjnTHBohddj5zEraF01UzM+aXYrAyfkY/X
NiT69bJ/KbJMm7MkegoIugzMMKI99kNp7easUHst7ihFcDAPEzrxI84dBf0S
glZjSqeswqO1u+cnDcEZnXjewLBs9FJyEGDxLcta//UhFS0fng+rZG+vcfjQ
CcGcpUPoq2KmuCv2F4DhJzLRrybrD5WvBQlrC9UcQYSt6nFqCy1X89Q7eSpT
undFBzJkIgIFFwakpg8acyAWnjc/4qkx/UGPKzBHFkLIeT2ZH3FSPFWpMHp3
i3OrU6SMM3R4Y+0fpvMN8sW8xeLJS/YW4+sMV2TxhDgSJMRF1YFZ34a5Bw42
3/n/ehNHxUO5825xT5lFzIWgnW1QRFPGG5n45SRvrMg5bA9zevRiwotyjQ0a
GrGAqs2rvJxXGJf3wgwa9DGnTZ5Om+H0ip6EDh6c1jyiCtu4W524Oza7eVFq
y6YyEq0niZFTRQa1mhpPLv1fgi9iNJ7pgwuY7zOitztRFd5ZTCe+XQ+4R6Xb
zl8b0A6pTLz7uKo/wlmJwMctL/mOGbV2FAZex7BgxAmjYQ44v1srX94mQI+n
2M4l+vljvssUCC0j/ueba3WF/gtM4710euy3ryF6WXCP6a4xaLirZZ+pa6Nl
XlYEa3js24YEK0dK+gVOfE3d55pu284cjN/nF3nlCBOP8sNQnsFk9Zc7IyVh
ndBGi8NCnl6Sg2piOWoxABAhFBxIBTcW71RIxIWsaeiiovs5AU0S5kFdPl+d
OLXXyfShL+hTPND0c2SvUzkcYHemBC83Sj1QsK8FtiD92RKmzK4rungxMm81
AaGT2cCjY34BkOJEIas47gcQwN0VIgstZWGJdUTBQvdezpb/VF7jNt/tNphO
uCJrmbqU7+/p546mvZj1aju7WItYPamDMpOxXrHQ+WgY/SNp16cXzaKfYRcH
NrTJthglNixyhEcOlG8dxQo8prD84/XNtZRwgp+HLn1qJHeSnzYl3grMVoKH
Xj+uV8KtE5n34+Ovlzko+Q4N4FiK9BglDBHx2Ocy4sZtHGdmKupQFvf6TcpV
zFwDv6R2sOUYHQUC+ZKf1S8dwy/eI5uBZrFa0JfWj8ScdOk+48E01oZHCxYc
eLmeMkaRvMsfwEsU4gyreEWQGvaOintzQk2CdIZu3buotkki/GTJq+9y+ypN
HkPsDPdAH1N9ITh8IVU6s8gB3bF9froif5RBbuBIceJWIgAUVfLTK8gEEMOW
kTlR+TJGe4UDkkyLpeFQt43T/vHOXoUi+6fgpluiKC/yg2EKptHDvp97OpyV
ILQlodgQjYJfkD0i2y6KWN8Dc8nXIIK340qZSsvNl45LibZ8T+wHJMXXYgpy
gteZostKdKyRZk0z0aK+D5X2BVcaPQ8ffH7Bo02iRvJukm+VHry2mB2dSZAc
Wew/sTvX0OeuAqhpzj6Efqc4N8+r/VKoWkymfe7jua5VgTP/BSKGZDB7nm58
KEbbcNaaRyjEhCWCeF384SAKUTEDXoat+rJZxnoQVqsXRKl9OGPkncFwswaw
UZGRMKkq9OCApNirn/r0BKWM/BRokcEO4DdzX53C1e63dunQ9S639tF+5Qns
ixPoeUlSqxiK6ODOliGkeYE1XevzsUlA6fqBo8jeiGYauJJgfBsgu5c43mD8
wD0vbprbYi9xdF3dKtTB2Zdsk820NV5OXvONYF5zIe9dGcf+TABQMpcvkHEL
kyXbbp0xhs9sWg7pzqzJ465tYqye7HsEtdN+M7gwJYPtw+HJLptZgbYIsX5R
D0Bnk7h1tIMbCUtk4+ydTSd1A7tugc2maPT0phrXtHDw6wGicxPRstDW4jUL
T36dt5bSQLISVV16ExvCDKZZsrfoBsVZ5KwiM3LWDnz56D2fwXhTWN9h5u9R
wyObtm2zyXnszFtsqw/jZEQ26A+RgQTnOCfJFReLzt1xFMbfz164xPlE7RpG
rfbvHXzr1/4ohhNRibu/w/E6I0zox7d+40II73TchyhBjcyZePmjyDmYiCwM
A46JLuf0p7Zlm/Nfr2xivkuk0o/0kMyVdbb4n0QRaqw8ixKlz87NSFXIluod
LJklsf0fvlD/f4H/JwqY2wNNXcAgB1MXO9T/BZZAZIllbmRzdHJlYW0KZW5k
b2JqCjEyIDAgb2JqIDw8Ci9UeXBlIC9Gb250Ci9TdWJ0eXBlIC9UeXBlMQov
RW5jb2RpbmcgMTkgMCBSCi9GaXJzdENoYXIgMTIKL0xhc3RDaGFyIDEyNgov
V2lkdGhzIDIwIDAgUgovQmFzZUZvbnQgL0NBSUZZRitDTVIxMAovRm9udERl
c2NyaXB0b3IgMTAgMCBSCj4+IGVuZG9iagoxMCAwIG9iaiA8PAovQXNjZW50
IDY5NAovQ2FwSGVpZ2h0IDY4MwovRGVzY2VudCAtMTk0Ci9Gb250TmFtZSAv
Q0FJRllGK0NNUjEwCi9JdGFsaWNBbmdsZSAwCi9TdGVtViA2OQovWEhlaWdo
dCA0MzEKL0ZvbnRCQm94IFstMjUxIC0yNTAgMTAwOSA5NjldCi9GbGFncyA0
Ci9DaGFyU2V0ICgvZmkvZG90bGVzc2kvZ3JhdmUvYWN1dGUvY2VkaWxsYS9l
eGNsYW0vcXVvdGVkYmxyaWdodC9wYXJlbmxlZnQvcGFyZW5yaWdodC9jb21t
YS9oeXBoZW4vcGVyaW9kL3plcm8vb25lL3R3by9mb3VyL2VpZ2h0L25pbmUv
Y29sb24vQi9DL0UvSS9OL08vUC9TL1QvcXVvdGVkYmxsZWZ0L2NpcmN1bWZs
ZXgvYS9iL2MvZC9lL2YvZy9oL2kvai9sL20vbi9vL3AvcS9yL3MvdC91L3Yv
eC96L3RpbGRlKQovRm9udEZpbGUgMTEgMCBSCj4+IGVuZG9iagoyMCAwIG9i
agpbNTU2IDAgMCAwIDI3OCAwIDUwMCA1MDAgMCAwIDAgMCA0NDQgMCAwIDAg
MCAwIDAgMCAwIDI3OCA1MDAgMCAwIDAgMCAwIDM4OSAzODkgMCAwIDI3OCAz
MzMgMjc4IDAgNTAwIDUwMCA1MDAgMCA1MDAgMCAwIDAgNTAwIDUwMCAyNzgg
MCAwIDAgMCAwIDAgMCA3MDggNzIyIDAgNjgxIDAgMCAwIDM2MSAwIDAgMCAw
IDc1MCA3NzggNjgxIDAgMCA1NTYgNzIyIDAgMCAwIDAgMCAwIDAgNTAwIDAg
NTAwIDAgMCA1MDAgNTU2IDQ0NCA1NTYgNDQ0IDMwNiA1MDAgNTU2IDI3OCAz
MDYgMCAyNzggODMzIDU1NiA1MDAgNTU2IDUyOCAzOTIgMzk0IDM4OSA1NTYg
NTI4IDAgNTI4IDAgNDQ0IDAgMCAwIDUwMCBdCmVuZG9iagoxOSAwIG9iaiA8
PAovVHlwZSAvRW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsgMCAvLm5vdGRlZiAx
Mi9maSAxMy8ubm90ZGVmIDE2L2RvdGxlc3NpIDE3Ly5ub3RkZWYgMTgvZ3Jh
dmUvYWN1dGUgMjAvLm5vdGRlZiAyNC9jZWRpbGxhIDI1Ly5ub3RkZWYgMzMv
ZXhjbGFtL3F1b3RlZGJscmlnaHQgMzUvLm5vdGRlZiA0MC9wYXJlbmxlZnQv
cGFyZW5yaWdodCA0Mi8ubm90ZGVmIDQ0L2NvbW1hL2h5cGhlbi9wZXJpb2Qg
NDcvLm5vdGRlZiA0OC96ZXJvL29uZS90d28gNTEvLm5vdGRlZiA1Mi9mb3Vy
IDUzLy5ub3RkZWYgNTYvZWlnaHQvbmluZS9jb2xvbiA1OS8ubm90ZGVmIDY2
L0IvQyA2OC8ubm90ZGVmIDY5L0UgNzAvLm5vdGRlZiA3My9JIDc0Ly5ub3Rk
ZWYgNzgvTi9PL1AgODEvLm5vdGRlZiA4My9TL1QgODUvLm5vdGRlZiA5Mi9x
dW90ZWRibGxlZnQgOTMvLm5vdGRlZiA5NC9jaXJjdW1mbGV4IDk1Ly5ub3Rk
ZWYgOTcvYS9iL2MvZC9lL2YvZy9oL2kvaiAxMDcvLm5vdGRlZiAxMDgvbC9t
L24vby9wL3Evci9zL3QvdS92IDExOS8ubm90ZGVmIDEyMC94IDEyMS8ubm90
ZGVmIDEyMi96IDEyMy8ubm90ZGVmIDEyNi90aWxkZSAxMjcvLm5vdGRlZl0K
Pj4gZW5kb2JqCjggMCBvYmogPDwKL0xlbmd0aDEgMTE2NwovTGVuZ3RoMiA1
MDgxCi9MZW5ndGgzIDUzMgovTGVuZ3RoIDU4MzEgICAgICAKL0ZpbHRlciAv
RmxhdGVEZWNvZGUKPj4Kc3RyZWFtCnja7ZNXXJPrssbpRBQE6T006b1Lk947
ilKEAAmEFgihhKIUQUGk994hgHRBOoj0LqgUCb13AVHqyVpr76Vn7ctzrs7v
5MtF/s/MO/N88044WAyM+RXtYDZgNZgrgl9YQPgeUFnXxERYCCgsICSkRMTB
oQwHgxBQmKsKCAG+BxSWlhYBKrrBgSISQGGhe2IimC8RB1AZ5oaEQ+0dEEAu
Ze4/kiSBii5gONQW5ArUBSEcwC6YGrYgZ6AxzBYKRiAFgIrOzkCjP054AI3A
HmC4F9hOgEhYGGgHtUUAbcD2UFciwT88abpCYEDJv2Q7T7d/h7zAcA+MKSDX
nza5gRiTdjBXZyTQDgwhEtSDYbqBMV7+N2z9s7iap7OzHsjlj/J/Tuo/4iAX
qDPyXxkwFzdPBBgO1IXZgeGu/0w1Bf9lThdsB/V0+WdUEwFyhtoquto7g4FC
f0lQDzWoD9jOAIqwdQAi4J7gP2Wwq90/PWAm96cDQWUlZRUVE95/XeqfQQMQ
1BVhgnT7u+of2X+y8C/GjAcO9QGaC2HmK4xJxDz//mX5j2aqrrYwO6irPVBE
XAIIgsNBSCLM+mBIHOgnDIS62oF9gGAfjGFBAVcYAnMEiJlJABACgxP9caNi
EkBBN8ylwOz+0P+SpICCvmA47JcgDRSEuYL/ZnEhoCDC+1dcXBjDDnDwbxmi
QEEI1Os3QRwo6AH2Arv+UjBdbGHOsF+KBCZH8W+SxJTQ/JukMS1s4CBbJzDC
GQxB/NJF/9b/WrW/A5JAQdAvwryB7d8kLITpBP0NMTNw/A0xR51+IebiBF1/
Q4wT2G8ogpnfb4jx4/4bigEF4b/hH1P4DTF9Eb8hpq/nb4gZkNcvFMGUsgH9
Vew/101JCebjxy8G5BcRFceMThgoJSQU8N/SbD3hcLAr4s+/MmZl/80QKGa/
wWAfsC3R9GeYrcxzx+T6MNRT1fyxUnwebCX7hhi92o6J1pshU7HYzkUD2u48
6JpHZ2Vp5CRr+GvM3hf0HhEt/obDavtB7jEpn67WvKzX0nwb6R99S9NFrrqx
noZs326unzzeEcfW/4geRCU8LujOPOjZzjXgUjFZJ/zKgtVp7lXXmf5cQvKR
WprzgxehNXdFWYxIU9xRL8VezHmTJsThzY2GPHV8AXjHO3sIa/G8c5YPyIm/
ssL6aUvwKlhEKWuqYdRR7kUaP63UnIWK/c+5SEs6IFZtUbsgh016RWdqxavJ
Jtfp5tOZ9rFF46bqTiTW5MXSDRueYdr1Xh0uwjFpD9NdwjI1YiO87XuqDeW6
pE4euG9CNEKFRIpVj6kTFNL1d8G8IWYFyZwldWS+14zaIyFMb0nrQ6mTxtqg
wQ0Q4KDswnu+8jnV+G8qnXo7JGb+Wh/Y4n4wYLcomV7dqRQ9bt+KBVyTjSZT
6H7eccv70LlyxJW7zbEiznHORNXxlGtIPPM7s5JTgOKW463nc7acxomFuKWb
gMU+fqnscR6WDWgqMusZOypBXSCXpML7hv2NNmKy0o9aQtOulIWMcKJzGdKP
C+WvO3OB2hvwJ1hfllGwVJ8WWkk3sWk5wC3l2FVkl/7PCzbkIFk2k3kbim7p
tpisHbCNiXfM1gnvYujmHvH7Ty6QA5cadilVLtbBrQP5za0S6WhO145pnmeN
Pp0++LOCWgHnhbDPlWFu2xL62OjogfNKcIBDV47wnVhTiZGy0leFHeUcXCFQ
S83WcOay/Q1oGtHybmhdxCAraxaljWhqv9z6tLiH1syML4VNJ9mk1if5fHPT
1bG3Fzc1aIArIqyzURefJkgofzYJ6ZcgpQUWWjoWi5gQtbkX9+SocWi+sKsG
9pYS91jSIpgLr2CR7dYcREOcqtrtgOQB7ZiMkEIIPPGF0a72E+RimLWXPuWT
sIOss2yv0G8nOE/7zLyNXtSSAKFoPV3TO+tjohp0xnluvMUmfO4ELB64MUKj
XFONPTIPklB1vKLr06wJWlLuoiETdhFah9b5VX1HkukFkrxL61uapU2eFXvd
c4tT7Q4asnIsnHcCyxoZTYaCkgJFBMrgixxEXjf7vl4jo3naPxwZx8elWOjU
sldhwbmtOq2DXlWJW33Vv7OcnqJxVxXfePmj+4Hc6/fjPHEFE0CxS6oZ8nde
U5GRNzyeq019WWHILUnOTifcEZVcv9W8nO/NZo7Xm948CxlhoFMMn6ny0SX0
KWDXKUvcF7wQnXjFjlRjku3owOPVQIp5PqRbco9UV8KPXqTpWVc1beE8lQ31
zWmRe8DZl3+1MY72Ujpq1SH0ISNUaJATuyK72Vq6fFViMSSKJ5etrF8hLfUY
Fd1Ru3XvVgVuDq3VvpAho8WLF85honYj2oC0ZFgG5ycqx07Co1IAFWgwdgFv
ZJ2ViP3DcZKoyvscGsR2J/BdMdcOFln9UqbYUzPafALe6uHEknNp1NallYtV
vw/CeCEZf3kDFjykd6Ysqcf1ul+u2JT1YGnyWe/NuntAnNP7DGJBb7mX14IN
jS71viu3ZXUEjBqkHUvm7XwrMgdShBPML7C+f3/gzM6d73bgVuCv0kaXH3OD
WPk4Z4fPYgs/mkFKezvKSoNwjoe9T2FqXT2JBZWhU3DeTyR871QcLU77Oq5i
hyFtjdKJR6k6m+FCF7rZpwxK0qGJKEL2jcFWdONN0ycHW79xOuoj0LpO744U
z/PIsUIokA8SrIiZADQgfDOd+BNK1L4/AuIQDQL6SFlkqbp/gFQyEBcFrOVH
KXVi6X2cSxueeu3gwPgQ2UelSLyo5vJ2qIowCrc9jX5ETzmUu4mGLR4/avg0
H2xd7XGmgXtTwzTl/g8zZUqOTwemWnXxL+i0uQxt8Mz70Q5OGU/xDB535NE9
jZDE3XTfS681iKpmlVzcjYM+2V/e6LD6qpGuuGeC9nXy7BTL5ExMjJ8YzQKv
0yo/U1WPJ41inJaf6o581jiN31e5CtCzc4hkxj+SeDp21u0yWNXTCipm5qia
S3qYX1dmm1uU3HV4SZzZWpbkYJ9IYQo2XNKVOvpgTE60b9GarReMD0J4qOLf
qPy++iWSl0t+wfeL7ISU0YOXl5WZ/abxvAXlKqSZdCMxoyXfLGeJcUmsajLl
Hcc/tM+tvUCiW86jzf111KrvxIZtU8IeCK7yfgMgzwQMBVPKnlRSDN2+HVkY
tAPdbyDAqopLcOTra3HaR6vuX7ily58lbrlkEPcU4UjMKCp4CvEF5th8gE/R
iqmLpXxakX4UrJygNrFsNfPo0FeXlWpcJWbX8fiJCgcclGqOc35vgFp20zJz
U//Iqp5ivCwlxKvi7nuZRLzTYFhbKG5FUT7I1rdAmsoxqiBplyjTh1lQDX7W
1revx0de5NDWjbyYeijHEcSekZhBrVhv8k5ZtbGle/5qmWuYKn7n9Sgb+cPM
CYOAUfnt701iF3Zk6DoSLgGGiMiM1bmXsjt56XqA8xffY+X38/zGDzwd/Prj
4yhiKvtXCd7sXyxSmNw9Dsn4iSO0Uz8SUKBqxuecaZRJoo2YVO6Z8s8l3Ii0
l3FHQe1fleqEjfaQ1uACFiLw7tRBiZlqRZbJOKjIhSj7q03OBc/yaJjWog45
NX1ohzpzmvSG/LpHfU28KH+o1pyEJbmsHVuGhVcewHfPNUT56UYgqxKou7a6
t9VyE7T8e0x3noW+55GB3yZlt0kwv6XvXgkBnroXNpKa+Ofi0TMAWXBtqnT4
N9vIdyzGoofouVZpv8aRFjpkbD9DLzfhRTiPUHtRCEQJAuXU01vbaMYtgoJI
4hD8+3qqe6/jQ+tILNfxPbYC8b/OORNGXdJtaqP9GHLGyHE/+IRE59il3eek
kwHDmrMJKcsIPAQM68xk09X1nX3j3oaoja/GewU/5mOqN4Mn3TWE0crUWcRn
V7ODOQ0e5hUdejxI4fGM3pj8XFLPKtqbYUpEfspmnY76UuJvItm+/ID0dnts
In4OIwuj0VVwO1NylaOif3cK2KhkEjmpuM04EtFf1tA5b/HNPv7dcwKIWIqj
cF67Rm5O1cMiCzVH5rVbMZfc8+4TmjAFRY3oSPUsPq9wShnfAySfQQfH+FLz
3me24Xm2BCYRJzO14JQ47EgLCe5ww5glCc6OQe+O8tMAMONCwPmi21lHecrN
IRdll+7ZNgIzfi6ie6yPXe+1Xvt9Cy8MmEO8f/Wwokh5F43H2HDZiFcXssUc
YkqM9HEzXH0+W9LTlJw8qd1FeVeEfcGvgmDBHHF1vy4qj6RQPRjp19jQNFHm
BSCLOU7NOe5PKT4Mpk4I/dTRL3mI0z7gXrZLhxVJ3bW8gmRA0iE3rIHv5/os
sQQIniqmnPQAkA+97/jbts8MF5mhGHo2rBn2LO12GkIPpjvrJe+y39gHHEsu
EBV86h7t9/sherdRW0I05Ad1qn8JQecM8rut1rvArjcTli1UVhwC39GnQeRL
a3PzwzUNz2gu+yelS6PsbLhRy0odF+ZPjqYE7FU5U/iz2pXumBb5nKA734tf
UOfk+BZe3xwf5GNmkpddJI8ymVtklzDEiy8uKUNLXN0/nTeGkN142tiJKx50
n1Jj3BO2PX/XYCB9nrS0hRyv9echpTAtbhce4xPFfY6Hoo8s4yBSKj31RbdB
zcy+RR1x3U2w10rmanSjfGrnBrnyl8dJNrde8HSEBH956EddSDOCRtHkKXQH
Hn+dwq7ULgq6Prh9vyuCpDaEPysiwvnHEU+gegAeDjSvtV3YLNmlIaNZLEly
qV+9l+NSNGT2o/4DNYO3wrV85lmPSbk3l2+EBOCfMsweestkuwRCtPuLQTMp
lP7EHTPmGSgA+6it8FN6HC2osEd/ct+op33qJs7hzAdN0bGVHpZoGZv1LDnz
AZQuhI08XW3ssy6UpyG4wG6/bCa4wppYAjA9q26cTYQuQHkQOk/PdyZWZnX1
sjH4brvtinE8CaId9/a68YDL+NabPn47DQb9tyacD1/V5sT2PrK3rBXX1j27
Wm1vkvTkKoenMB5xeXaSyBd9Xx/+eeBg/iB4VsPZbrG2dE/M3nZP94WfLR79
07UkHfouvFe7zx6QJI00SemWtrUdpSkGzMY5GEX9UEkssfeOyrAk2Od2xaLA
+slJeaTN5jxtNgk7sCzYUFKrx1mvw4sytvRvUyexjM+jtTbRwaaJpBon7x+T
85mzphoRDSUPAjj+kKgGJjx+ZKdz6DGgbjSrCG+78GSp8NVJ1WtmucXQPKhD
feyIjTRbIR+RyrEhSFU0Mgt0JaKjXXAzVorlkrnx6ZVCmssB18b3qC1fyNuZ
rzUJiO9z2PSmYekXHKMF4YYppVd6keDMa2zrmOz2Ay4ZOuP63CsRGgFi/drm
4jp9//jx55xJb8AA0y9x30Fie4UUn05BfcUwPaG+zkaqlV2wAgHd5ht0gMgU
RG0vaV/gQ51KEyE1m+vFcqbVT3mXtsioWVvwgCw/B2o+6NG1XqEekifqPHAW
LAoIZU12hmUUIZ80kyQEOl/Vy+IefTcAPY0yz9saftxSQCb5ZloojjaCDyCK
n65YaTWAW/4mxaKvr8u7Uqy3w1dE8TFnY3umRHFC7YxOXzOocJrzMUDrvuMx
lqb0Hd5TBKiWJLZetHDgW6gRuEObqJBK9t1XnnrL0ofWzIIVcg6bnhAzC+GT
jQQwuzZplcTEqgSBBGnDcPMSLsuKTPWMbG5Lr0HATpAglr0jbM74s/nI0s3I
nCYGRDslqvCwCRCiX5d7dl9eZ/tjTa1I7+c3EH4jYOydlGTXV5duF+7EQ8jA
a3xRl+FCm8MrFBvycU4Kvvuw9MX45edoy4PIFZPAt7UNcgY5gu/NNV6HQlW/
LMe4jh8FTPwQEA1yApd47VUvtjED6PNuU6Vm51jafHZ+fZKy5RWhmQI1erOi
6Lj6oxAX+kGFpZZ8wgRPh8WQvgHS/2UnlCUK6+VYlU+4O82PkEGyHMNQDzqL
x1JeKI3gt3L1MNsP1HnZOb64lj9wXlAUv937XOENSAaC9lZTu5oLwUP36tE5
G+1MQyjLGGzG2b6lFQO35MQSm5wj8jpdjxHSDyZ+4Tvn5D/IElppymmVCdMm
UVx1Fk8cr17+UPKMuIejeR92WajQvqARt4/Yna96V3rhuTdHW1hjzG5sWcbB
l0U+06jSsgg7nWsLve+WWsyksbiYNdXDLa/aOKLTRc7RSXcxkrdLk0jyU9Xt
UTciWQW9arFd0gtCxD46/8A3E2TFWdFCDl7+WEyYukI+P8pN+elJyYlRdS4B
WehuWSYZOpYLVV2k1IculVQID1Fbq8JLx6YzL7+sOUlowHqPK9YX7MdzYz2T
N9zCfDF7HPfqGbDP4eGMGw6D4Ah9iWCkOEFeenYcnDWfcevQIxzynt0dtoJn
K0ZBIhLsIxn75fLGq/ucYlItXCf9jA3CNxuZndATGlGppfzWZZYRSV3E0xLX
jyx0dvnLO1RoWrCn9uS0LkxoI0hif+Ac5hznPCEwuqtCAAElCOvllsXeBtsD
St5nv9sShtNWa42p29nfJF4Be/Lyplsv1HJElEbc7Xna5dubUnn30Ba/e9b7
p84x5J1bs3S+XwUFzwmLt/imBn/veO6cPIMarXfRrJOYCvrVZFdCeqcubrKr
zoQX3UBvJ1gybLO5JGmD4Xmb43M8nCvOGBsDz6clY6Tlq6Qs66E/qa83YiDD
gFvXX7XO1fNkGRUZr2MpHjmWr23ZXiOeTUVSsbi8uxN94rxKOgw6EsSLEaPC
NRSRGoqgpeavmF1l6IM4PMNiQE0Qh8/xDh/CoDJkCs+IIfO18arZhTMCoRUb
7W3pEx9PUK+43RXmQRc6iWJXNg9VLpizrlvkD8duxPmNRmwYf6+rFm9p324T
a+xkASxHKlU1KjK+cCMMRmDJD9ClJIr2oSxo2idlsZ7UtbZQanJrg8QePYpa
ZWZnkRzcJB7I50ZLL/UArr2MadF2fIoKoN1ZigplVjgxSWQ5svQmJ3WynmAx
G/qGX5Y4U9xgGGtYd3nlYI3MZOtuXDTF51pW0weI3K9v+lkY58eUz8wZDGux
HrxGJN5iVs2HG+0xXkYWuZbV+1fhUPoCR3hfWnwzynU63GYT6yR6yZJ5mkhl
wUPyfoCRuHT8eUakcLjRGdk9vfYZ7L6CmpgxLx/yNEt5pS9vclWkvs12dwmF
rGZRkAQJail8eak5wCrwzkjzNgkZ3/w2a7vmmu8eNEMpHD0AERwLROD47YY3
DOvOdRk1K1gzG80qFbAleYKZhuQBd8HN/o8l+Tf6sw4ogqS60KtGLwG0W0Kf
0ghToqrcknofmBJavarf3NQRX6aPSuRluH82shSnUx3xuKnf64J2pS6MlL4I
3CKS3/S5/k3+2zBvUc8dkiYlk44ZM47bduyo/jXbq5c6ZyzNbKEeohOn5/gE
7b5FuxOBH/PWQxQWXuo6tJqBlLJGDxj8qf0n6g541y4znDS7F9Dlj0hP9mZK
PtJ33WrOlL0JljWW1/DMelsc3tDL2n1V1dY7k5WUXki1OW1lZvcdegb2O689
c2sWLP0484xvEkkDJuiLX/WGnt/iLnslCNyq8XWjrTGwDLKhP5d5qLr6pNWM
hMt8CYesGqumE9uSL7BhvoixUXQDMsEFh9AiFMRdIqFTyJVFWWet44MhBIF3
tasI9rpDm9XlCYx494aIYSmx7gv0LfeoD+ypP5N2/Oid371RiQp/MnCXsDhF
FfW6rijTjbgLJV5jIzF4UjgVLLmWwfmyShVIkjavs/v1ijmKqwoZFs/Wcdsd
8g5Pl9VBv4w1KPcLPOszvo80WZiK0P/wQ/T/Bf5PFLB1BoPgCJgLCO5E9F/h
LatfZW5kc3RyZWFtCmVuZG9iago5IDAgb2JqIDw8Ci9UeXBlIC9Gb250Ci9T
dWJ0eXBlIC9UeXBlMQovRW5jb2RpbmcgMjEgMCBSCi9GaXJzdENoYXIgNDYK
L0xhc3RDaGFyIDEyNAovV2lkdGhzIDIyIDAgUgovQmFzZUZvbnQgL0NCQ0RE
VCtDTVRUMTAKL0ZvbnREZXNjcmlwdG9yIDcgMCBSCj4+IGVuZG9iago3IDAg
b2JqIDw8Ci9Bc2NlbnQgNjExCi9DYXBIZWlnaHQgNjExCi9EZXNjZW50IC0y
MjIKL0ZvbnROYW1lIC9DQkNERFQrQ01UVDEwCi9JdGFsaWNBbmdsZSAwCi9T
dGVtViA2OQovWEhlaWdodCA0MzEKL0ZvbnRCQm94IFstNCAtMjM1IDczMSA4
MDBdCi9GbGFncyA0Ci9DaGFyU2V0ICgvcGVyaW9kL3plcm8vb25lL3R3by90
aHJlZS9maXZlL3NldmVuL2NvbG9uL0EvSS9icmFja2V0bGVmdC9icmFja2V0
cmlnaHQvYS9jL2kvai9rL24vby9wL3Evci9zL3QvdS92L2JhcikKL0ZvbnRG
aWxlIDggMCBSCj4+IGVuZG9iagoyMiAwIG9iagpbNTI1IDAgNTI1IDUyNSA1
MjUgNTI1IDAgNTI1IDAgNTI1IDAgMCA1MjUgMCAwIDAgMCAwIDAgNTI1IDAg
MCAwIDAgMCAwIDAgNTI1IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAw
IDAgMCA1MjUgMCA1MjUgMCAwIDAgNTI1IDAgNTI1IDAgMCAwIDAgMCA1MjUg
NTI1IDUyNSAwIDAgNTI1IDUyNSA1MjUgNTI1IDUyNSA1MjUgNTI1IDUyNSA1
MjUgMCAwIDAgMCAwIDUyNSBdCmVuZG9iagoyMSAwIG9iaiA8PAovVHlwZSAv
RW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsgMCAvLm5vdGRlZiA0Ni9wZXJpb2Qg
NDcvLm5vdGRlZiA0OC96ZXJvL29uZS90d28vdGhyZWUgNTIvLm5vdGRlZiA1
My9maXZlIDU0Ly5ub3RkZWYgNTUvc2V2ZW4gNTYvLm5vdGRlZiA1OC9jb2xv
biA1OS8ubm90ZGVmIDY1L0EgNjYvLm5vdGRlZiA3My9JIDc0Ly5ub3RkZWYg
OTEvYnJhY2tldGxlZnQgOTIvLm5vdGRlZiA5My9icmFja2V0cmlnaHQgOTQv
Lm5vdGRlZiA5Ny9hIDk4Ly5ub3RkZWYgOTkvYyAxMDAvLm5vdGRlZiAxMDUv
aS9qL2sgMTA4Ly5ub3RkZWYgMTEwL24vby9wL3Evci9zL3QvdS92IDExOS8u
bm90ZGVmIDEyNC9iYXIgMTI1Ly5ub3RkZWZdCj4+IGVuZG9iago1IDAgb2Jq
IDw8Ci9MZW5ndGgxIDExNzEKL0xlbmd0aDIgNTAwMQovTGVuZ3RoMyA1MzIK
L0xlbmd0aCA1NzU2ICAgICAgCi9GaWx0ZXIgL0ZsYXRlRGVjb2RlCj4+CnN0
cmVhbQp42u2VZzica7fH1WgJEr2EEV0wMxi9RA+il+gxxmAYM4zRe4uSKBEh
SkTvnWgRUUMSQnTRoxNdBFs5k73fdydnvx/P+XSu88yX57fudf/X/17Puq/h
5tAzFFK0Q9vC1dAorBBYGCwNUNZWMgWLAMDCIHJubmUMHIpFoFEqUCxcGgCW
kgIDFD0cACIgAFhcWlRMGiJGzg1QRrv6YBAOjlgAnzL/zyQJgKILHIOAQVEA
bSjWEe6C04BBkQBDNAwBx/oIAxSRSIDBzx3uAAO4OxzjCbcTJgeDAXYIGBZg
C3dAoMiBPx1poOzRAIm/wnYerv9e8oRj3HGmAHw4k/wAnEU7NArpA7CD25MD
ddC4WnCck/8NU/8UV/NAInWgLj/l/+zSf6xDXRBIn39loF1cPbBwDEAbbQfH
oP6Zeh/+lzklNPI/ymhgoUgETBHlgIQDQH+FEO5qCG+4nR4CC3ME2EOR7vA/
43CU3T8t4Nr2pwGgooH5PQPN2//6nn8u6kERKKyRj+vfsj+z/2TwL8Z1B4Pw
BliAhEEgMC4R9/v3m9U/iqmiYGg7BAo3EBBxABSDgfqQ4yYDRxCAHxiAQNnB
vQFwb5xjoDAKjcVtAeBaEgCwR2PIf35OsDgAaIfGIuHu7oifK38FpQBAKAzX
ub8jImIAIAxuh0AioX/HxCAAoKOPqyMc9XdIHLdR9W+SEAUANX6RBACo/TdJ
ggBAvV+EyzT8RbjM+79IEgA0/ZtwMwT8ZUEKVw/2yzYIJ2r3G4IBQPhviCvi
8Bvi7P92ZBCuDPI3xCm7/EIwThn1G+KU0b+hCADo+hvimoX5DXGF3H9DXMex
vyHuQB6/Ic6G5y/E3XKg92/4cy8CaffXqf5z6pSU0N5+QhBRgJAIBIwTE5UC
SEBAAf8tEeaBwcBR2D8vNG52/832CNykw+HecBj55BgaJhPulFL/sDhQNXew
hFgAX8mhIUGntm34DUXYxBN8ZMEHLTeB2RrT09I0GsoV4hV2rzMW95gWf/1+
tZ0Qt4TnoxcrnjYrab5NLKb7ado+y663foRtUr2uHzn8BsHXHZr9WJxkltf9
YvfdZrYen4rRKsk0B167hWdde3q4uISpWhrSODKihkeUw4D6uVtxlFjkjBd1
UiLRzEBYoFMkaePtqT10i8eN01zSrKcXDwjt+k1sfmhtJ/tcWzQ/Tej7caM6
2KooZtEjSzvVLK78zNZimj0DbIHcf5w+wnsgiLVMrWh1/VIxkplnfqJLyiRW
oh6tKXENEdP8Jo/DGK86oZInaKBhJqfF0cZc54itL3eM1VFL/fJVlK/M1nzd
MGVc81vA86ucYB7GTcpKvnR+rktNUa2IyfixCNXz8rqgVDb3hGrKNSe1/Moo
+zbqW3pco8sPhTRmX018+/hsUimsm1xczjEvwU3FhHpXdtGGTPV6jHNbbYnq
U2od3N1991hT/ZhsPPDevp94yFH9QZlGnKo4y8k8e6Ux7/fFPp9roHAHLXke
frQ8oQiLpbEVl+n9mOhVIbB9bvf4ndrSat4Bpatgl5P7kXJZ93anuAsh2LxZ
YV0hK504CuUrRgNBYswsU/I8Xu1Jnjrlpt0Rh5l7pMoXBFQv5ybxYu2vLVOk
j+cUYVJbwJn24yHULE0mi1eUs9Of9iYHMi+5vQRRXJja7459se62ZmDmGm4g
2cnlHglSl7BbT++tpo4NsdwvKz9FqsHWQBFWDrLrMQ3xD0JfBuXwlN7f9ZMP
0PFfpBxu2LwGgnTTxhZNnordFaM9L1qczkSqZ8pvp13PMgp6T/ogD8b8OWNd
fN4sDpwCCCp8jTIeGN3BVLQLpSV7cLH64ZWbnh6p3khJZbHCd2ULvRVLSHPm
b18Da/Epmzkp6YqRfavUhJI0lb9JnGpI4uJIG9tb/97ATxr7KWDHO+a6IbvK
DYo5KigFUH5SZ7N/qWxIUqxDqUSZtmnn+VIrZspzc4ac4PHGi7rOx+xCXI3n
Kw/DgOu2RMaCoZSq9c27naBIpQr+myP5Hv6MOgMeP6jkmKkK7YW0LAOYUz4T
dERcspcwC1GL9G7VI44WNAXW8RJJZF7ifw3xzdc2KHLq7IjhtJFeCuTHOvGb
2qqFy5IoLvMgNvlNuRP4HvlxTbbRHlPo4sXRbWaAb4mw5K3zZ/YRjmaSIxc8
zt+TSKh9LQN2hY01qceYKWdCU/fPGyvbKP0Z2OmbleD7tnnEdlxTcU81uo0L
N+1KRC43wBSQztZTzCBvfaPwN7DLQzGKQ858V4BfT3Rw5hA7KxihZzuy5MXP
VK5J1zHYw66cy0z13ZNsVfFoKZJsZEMrfa841EzgQop+J4p8rIAmVswtKZIm
ZW+dW8Box/myeSuKiuTJo/cyNVpBIwZk2uKET3UlzhXZPwl5U0kxsEaWPCMJ
khp2WBsZezCnQXKPLTpRP5S35wFfZ7E/nenCW9JK8tfR8mf7F8xNvphaqg1h
WmktB7j0GRmEPBxTq0AC2uvtp7135F3DFUQwaaIumFjU/h3+UcGZS8WYxrZP
seecQQDMyTXZ2vG9him1plmPlGD3mRHndPPFWkxtaZJhGOK9hvzjraoOfS+V
0iwCcZBYq041l4GzT+LD6YPBClCFLnWYTOjGObOGIJSF0jiXgBL5Kf9tXVmd
8c1802r916JKXHQGbLz3ZpPQkBcag3jaGtuy5ASE7XJgapBqqhz7Ee1MuCqN
kuJalATIdnJNE+AtXrdr+DQwvX41z/qb9EtU03JzdJOBWGNU5wFUFdELo6aR
an7O4xPGtXlW/+li7j23v05lQNMPQIWnu0Nrq9FRXXlucw45ZG3BXLYKXJeh
8BkjlvaVroEHdu+i7GWlt6OCxmnga+uJC3F6swtrdgIDb7KqcTn2FNl+R2fQ
TlB7MSTufRM7FcdpCitBTPUCH5WVDrN/isL7JDqT2W3700992iu+wcZa4Y2J
ZR8+bZJoZDyjIvJnSoq9RtPUd+VhCWGK+rXjhWi5sqrx03fpNayvnMCpl5jv
X0JkX51wGtPNmb8D5006RVcYVxBfvzo2sNEXNSUlmFsRnxkcJtVpPskW5hPy
XVWqpZU8ZVGdiDk/Ihh4v9Pp8fbxXOsCqYxezz6jEfjux84GZ+cGpgNo6rxv
AN6lbJrXdPOVWrvyZBcLivtjYXDU+QWx5ER9TJZrPI9wDER7mItD6UJVZko1
q7alwCYnSvW4rbI8a0d05O6MUWqKOxfFfM0dz3ccU9du8lmICG2EudEv81F9
OQmjoF/P5RYo3OPZz9sspevcqCSM6geZu74owMpfdAmEXa2GQ5eefjr91EAr
n6WDz/5aQ0rc8dxii3ZMHxqofETd6rbv84CWrhwTPcoR/YD95ufxzq/dOYhO
VayKer5w0FaLOlJoXIJR7yUUv283qKLetTSfTv+RnLP2ti2nVtIqhfXm9SCI
5T5jGQsB8WjRG4UrZPrk/XS0CL3Dq4c8Vwb1zaoJQFm73sP5hmN3/K1Q6S7t
jrs39d8kcDiJj9y+uNLBU5N95e1G3gmStfeEy0Da1ktLwa+H2OEBjNu55Zvo
0xw9yCuM/OoLoaDU1InznanVvVvxZqBCeKSNFsRtNHKjm8s2Autu2r0+mpHR
ClKqluFQlL88O59mJMXnnIizMLzXueZxFhSqUKxuu37djSjWtMsmY6bVOPd8
8gMNYu7Wk2Avr2RliNUcZ62ivmEHlWk1xVbotn3Vo+G8HVarF1l8I5RyXu1+
JHQq/mEz16RYdOE2r3R8N0Q01iJ94fR+Isr0jCDddYWqxPNxtu5gHypdaIUp
16YcnT01/lOTwq+Sb/PtqbvxWpzwKx4vcra/27t+3tpZHu071f9a9Q/2PT8i
PG9Td2arq9NqfHgu5XZMcWSPYpUjFdOuvF5Sf03mWU3lW3gc+ODN3aC2LHK+
HksJ9x30Qf0ZzHgg1CuoyPuRzpetiiGbqM3KiogrsqzB5W9MsZBZNsp8EiTH
YIFHko0ecdIzWeLJlRF86W/7p5PFJm9KUPWMX2QlHtPnuIsemozgtwXdq9f3
XUEwwmsZTJedGB8CH4VHxhm8MX2zb2hQmMKTWEPda8/v/ujjGlpW+gFeUpXZ
umsIN1FdnovLI6IRDY3VCtF65/G6dAFtvbdRRl3VLN79tUMoKZ1PGI6rpJHA
DEvS/EfDjcqM/aot58TeawsNWuaQXC32O3RMlqDyHWJ1wntGKimSDQ6KF3JC
VbptWdQCUD6dy0Z148G6T6fRrSfo1faKo/OVUKISYHFzu/lSswrZsk8GtdeH
rw4KtbfjxV9pP00lN69wFWSODDe27QZoEnkptTWcuG2xfZ2QKeIgVFxau+CN
RPagG8VDKnpIBf1HEfbzhZFB8XnyZt8MWONTE7FkBFTJNM9t0xWfxZgfl75b
JPeuerPKyrHPApOLaPHnPkmkcjFYs2yK4gMZK1qfBrA542nz+duV143tzF4c
HL5bJ9xIdR5spG/NKKe37XEKpNoehuB/XzCmj8J8yJWbyctTtPRLVyaPem24
rCCYTEgXn9h6q0V0ceBRZDCFZQYSHpnAEo4HjTlXypqh6QUWzxNiFDiqBhfM
anVEnztbGrMMngfSlTmFv7kxO0v0oSPRCGodNbjXmZ9DqQCPnWDmnVPLulBB
zbCd2144m2RbZ4f724aj3xTAmDooJj+8CB+k7QmDrP+QeEaFGfg2+qj8allL
3Vhyd9aYl9enOJMimElWyLr/8iO4xwDedszActGr28lN7oNpq7V8wdlVx+hM
Ud3gmd1OfsLGwLvsJKLuhl+f9QJfroEGLrf9YAMWewFDqkNYOjkZHR7Cu0qZ
1+rmQGYu5NJx548bN8F3CtWhcE63t5Kjrg+zv3ypnGcYWaSSTHSHdjd8QTzn
Fr4Rp3eIt7IVdP0Pw9OLRY85U29pX/k1vIhnzWYVmlRkc4cCIZnPF7LrikWv
qb7thotVGYbdSN7Idj1J38o5NyIlylDOKQmgYBa1WCW8oS6px7q537MkK8Lz
0oaCRJ++gu/F7S4JMKNbZ9C7p2oNk7yJQZlMDl8Zws7d0NjMF/l7GqchVzQ+
GKRT4jXXINpJNaSlZEhCOXN7Vs+P9X0pJjVWThlSeVVn1tKHQu1hc6Cesuwr
gMOtXEH+9++n38awMX5UT/wi8XgoUNFgyJNty3EimSfohXUT/LPnd0c4ULWj
Roxuyo1a/byg/VhQSfaFVfy+Vi3yQB5jtPCx+zSBPDwxCGG5mf0Hk+dezEoO
tTM9dkWkvqI88nK/w6GN1CK1cWKK5zP/0Xc/mnd0sWJ6SZ2OYUHWdcPtAuCC
6aGIw9YwBy1S2mCH49G3PWltZ9Gr9Sl0ZUPD5hslax/a4mMP1W3abozaa6d5
hts5MTJn5/D6A7U1yy4Z1qktE/wrA5jkE4l23tlts/E3yn7N7mP7Yf9dVp/w
VZh+yxRkSZWwq97Zqe6uuYXkWeZxYe+PmEWe/JIlmdBp2wi7J0lBVUFSBZF1
I9UMmmp45e0iQ1+VnvL4pJnRY5OS7w5YkLgfnRoSM+UdBwpMafqQIySFr46S
sMnSduSXridYbqYa9WVu82PkBTeKW/QBgVYeTz0cJvNdx8yXriUW0hL4sPXN
Fz5vZxals1XTLr0IY1XRJbBJGoAcjihdrb2ha0amdjn+Dn0xKyB4ptq5F43q
V8m+d/VVloYJpxB1Sk2XAv9Nxc0iah3uPLVzVgoXeZgKKF7Awj098wqfm53j
dGUlsPRr8QubEMOkM7/47eplWz8v+4MAY4MFw/DlULM8GWGurdVsyuIscapx
vkMakNfXl06c6++8B8ajzVILp46aLZdV75B/fEHFu85dwSsu/SGUcK6BJlnI
uM/t9iE+tIKffXP0zHo+Tbf3YcCDt/VCnPvCbt2synwzgSfWFeMJaEM5woG5
Rhdfds/GUfSHLo20z8NFtQIy9jbD9DLP0lNQrBkTRXNhAttfXo54vhKOG5zW
3D4rJVVgzg32qzQykczPsLjhIZg+pUsqffYB2pGe25uhbGaswp8bGr2teBBX
L7TDQWFr2LSawp/osr/9Wq2A9zPXp7qqvK4/2lbvcGmFWX1kexKosyWhtco3
LElaRiNXN4W38Hq7uvc7jahE7Q8ZAc9+ZY+XyplfLr3I/O8kyRqmVo3Yshxk
pon4O84Gw2r7oJKr9Z0P75YfeLG4xyZ9FLHWx7eb0MjgVzOQ/MGM39465OHy
pDXe4ooKxwX0B0jos03K+b09ubDDdxauKEqzum04vcyGne79aD+Akeyiu2+T
7GMC2gAtxhtEvbUc3MQPOnbJb9YrHg8lYFk3iFTLxAGxIjT1NOvegRNq7Udb
n999PMGXWMjdaFGZKP1aFdXZ0FUaF8usg34i5dJEPF8GiT+LKnqhDDiXuXVe
J3WRKW1DYOZ2EsiWm7sHlZUOQ+88VbwsfH1f3nA25LVFY6nkxM5BcqT9UsJz
Jg0MWeG1bSeI5Dwt/UMILMRB+9XyRjaD9yIBIewjd7Cd5v1+s7sOgnwLz8gy
uhsDWoDcLkrPYHVZw9lYmbBBYqLRWz4JOTXey4rms89fMWEYdC9LjPzW3FWi
tk2/KptloOdCHOcH9XgxLbK38V1JJG+PN317pDEccAJhQ5fxGviyqzPlRMGx
KYL+d4dmVBTbLVGr55T9t+n7gQV0PALDPGKa6ZXzCXvbVnXZ2mtFN9UjkkUG
gQ3Rf+y7Ht2Wycbb+v6xi1a95ujDVumwN/pjTEvet7eQvqg3liYObPk5BPV5
hcY+8guCZErLY2Naly3XCy8IXS/P7IUgDQhizhUbxhrRRBQB7n+ZeRfYGNRo
HCEO2tRcS2aUl68fXr83zDLqxs44CZ6UCslSS23yAkWa6pektesdmmThuQ9Y
51oXo1LcC6Q6k+/kiKNvX3uOL0bJGDlVQT6H3/2gwrHB+8S+pW7S7H54cRnt
fOlng1XbhJiMwS1E3T4nYZXGrqt1UM4S6dQ6kDxB87RneCj4/MRX3ETv+KX5
NYOzu29yj8VVCdZnz2rsL9ID8QbWwObNTtCAE+qOg2rqTEvZgm0HIclKbbME
gt1xvmnFu1dt9BgOzWkFeWpn3S8NYQYLBVLcLu3NlIaYFVeFCwZ5umBG4UW6
uOKQ6U0pixoOUfEHsm+t3sQYa5D0mGOYuux++Nj4M172F1euGL66v3Q7by5i
G68Y7WPvcb9VQNkRFcKw/iYJr/vVZ0sll/cHxLF6i1iCge9TdCJE159aGkV3
hL0FjyAnXq2usDNF3Dl7u6kndBx7GXhQbgHuKuuhejZ2qKw+H3P/UGZTsMNs
Y7lqojtb5epy4Xe6qGBAm1OBgfmpcKnY2cAhCs14TGB+T+QWh6vancZ+TJe1
xErnY3Xrlde7mKRu57u3pn2cQtxyQu/lL+zYsj0hkq9eaAl8wom0l79bYk35
fskk8IrgslR1pL1tyRLYH2KWtCsd9hoTeQQTsKZz8Dz4qN0xtcNn7ehgOlbt
aXnkTfK+6xTsSlrkezvvoQiFv6rtlJjf3Mkw60G489knyISm1ZnzhFS7ZDwQ
K3Nh0FsjQZ2XanI9e37ku63GqcSRFraVlMErJknfHjm4yc/1B0hklzG3INQD
r68hxv3O1Y0vH9Yy6Y1WLz+33SGa1dnyxb+GcniWSBbDEnCnVRmjJGP0h65I
nqlW797LcYcs0TzGlK70ixr4D9D/8CH/f4H/EwIwJByKwaJdoBhn8v8Cv3WB
PGVuZHN0cmVhbQplbmRvYmoKNiAwIG9iaiA8PAovVHlwZSAvRm9udAovU3Vi
dHlwZSAvVHlwZTEKL0VuY29kaW5nIDIzIDAgUgovRmlyc3RDaGFyIDE2Ci9M
YXN0Q2hhciAxMjYKL1dpZHRocyAyNCAwIFIKL0Jhc2VGb250IC9BUlpMUkor
Q01CWDEyCi9Gb250RGVzY3JpcHRvciA0IDAgUgo+PiBlbmRvYmoKNCAwIG9i
aiA8PAovQXNjZW50IDY5NAovQ2FwSGVpZ2h0IDY4NgovRGVzY2VudCAtMTk0
Ci9Gb250TmFtZSAvQVJaTFJKK0NNQlgxMgovSXRhbGljQW5nbGUgMAovU3Rl
bVYgMTA5Ci9YSGVpZ2h0IDQ0NAovRm9udEJCb3ggWy01MyAtMjUxIDExMzkg
NzUwXQovRmxhZ3MgNAovQ2hhclNldCAoL2RvdGxlc3NpL2FjdXRlL2NlZGls
bGEvaHlwaGVuL0UvSS9NL1AvUy9XL1gvYS9jL2QvZS9nL2kvbC9tL24vby9w
L3Ivcy90L3Uvdi94L3RpbGRlKQovRm9udEZpbGUgNSAwIFIKPj4gZW5kb2Jq
CjI0IDAgb2JqClszMTIgMCAwIDU2MiAwIDAgMCAwIDUwMCAwIDAgMCAwIDAg
MCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMzc1IDAgMCAwIDAgMCAw
IDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCAwIDAgMCA3MzggMCAwIDAg
NDE5IDAgMCAwIDEwNjcgMCAwIDc2OSAwIDAgNjI1IDAgMCAwIDExNjIgODUw
IDAgMCAwIDAgMCAwIDAgMCA1NDcgMCA1MDAgNjI1IDUxMyAwIDU2MiAwIDMx
MiAwIDAgMzEyIDkzNyA2MjUgNTYyIDYyNSAwIDQ1OSA0NDQgNDM3IDYyNSA1
OTQgMCA1OTQgMCAwIDAgMCAwIDU2MiBdCmVuZG9iagoyMyAwIG9iaiA8PAov
VHlwZSAvRW5jb2RpbmcKL0RpZmZlcmVuY2VzIFsgMCAvLm5vdGRlZiAxNi9k
b3RsZXNzaSAxNy8ubm90ZGVmIDE5L2FjdXRlIDIwLy5ub3RkZWYgMjQvY2Vk
aWxsYSAyNS8ubm90ZGVmIDQ1L2h5cGhlbiA0Ni8ubm90ZGVmIDY5L0UgNzAv
Lm5vdGRlZiA3My9JIDc0Ly5ub3RkZWYgNzcvTSA3OC8ubm90ZGVmIDgwL1Ag
ODEvLm5vdGRlZiA4My9TIDg0Ly5ub3RkZWYgODcvVy9YIDg5Ly5ub3RkZWYg
OTcvYSA5OC8ubm90ZGVmIDk5L2MvZC9lIDEwMi8ubm90ZGVmIDEwMy9nIDEw
NC8ubm90ZGVmIDEwNS9pIDEwNi8ubm90ZGVmIDEwOC9sL20vbi9vL3AgMTEz
Ly5ub3RkZWYgMTE0L3Ivcy90L3UvdiAxMTkvLm5vdGRlZiAxMjAveCAxMjEv
Lm5vdGRlZiAxMjYvdGlsZGUgMTI3Ly5ub3RkZWZdCj4+IGVuZG9iagoxNiAw
IG9iaiA8PAovVHlwZSAvUGFnZXMKL0NvdW50IDEKL0tpZHMgWzIgMCBSXQo+
PiBlbmRvYmoKMjUgMCBvYmogPDwKL1R5cGUgL0NhdGFsb2cKL1BhZ2VzIDE2
IDAgUgo+PiBlbmRvYmoKMjYgMCBvYmogPDwKL1Byb2R1Y2VyIChwZGZlVGVY
LTEuMjFhKQovQ3JlYXRvciAoVGVYKQovQ3JlYXRpb25EYXRlIChEOjIwMDcw
ODE4MTU1ODIzLTAzJzAwJykKL1BURVguRnVsbGJhbm5lciAoVGhpcyBpcyBw
ZGZlVGVYLCBWZXJzaW9uIDMuMTQxNTkyLTEuMjFhLTIuMiAoV2ViMkMgNy41
LjQpIGtwYXRoc2VhIHZlcnNpb24gMy41LjQpCj4+IGVuZG9iagp4cmVmCjAg
MjcKMDAwMDAwMDAwMCA2NTUzNSBmIAowMDAwMDAyMjE4IDAwMDAwIG4gCjAw
MDAwMDIxMDMgMDAwMDAgbiAKMDAwMDAwMDAwOSAwMDAwMCBuIAowMDAwMDMw
NTQ5IDAwMDAwIG4gCjAwMDAwMjQ1MTggMDAwMDAgbiAKMDAwMDAzMDM5MyAw
MDAwMCBuIAowMDAwMDIzNjIxIDAwMDAwIG4gCjAwMDAwMTc1MTUgMDAwMDAg
biAKMDAwMDAyMzQ2NSAwMDAwMCBuIAowMDAwMDE2MTM2IDAwMDAwIG4gCjAw
MDAwMDUxNjkgMDAwMDAgbiAKMDAwMDAxNTk3OSAwMDAwMCBuIAowMDAwMDA0
NzE0IDAwMDAwIG4gCjAwMDAwMDIzMjAgMDAwMDAgbiAKMDAwMDAwNDU1NiAw
MDAwMCBuIAowMDAwMDMxNTQxIDAwMDAwIG4gCjAwMDAwMDUwNDkgMDAwMDAg
biAKMDAwMDAwNDkyMiAwMDAwMCBuIAowMDAwMDE2OTEwIDAwMDAwIG4gCjAw
MDAwMTY1NTMgMDAwMDAgbiAKMDAwMDAyNDE0NiAwMDAwMCBuIAowMDAwMDIz
OTE1IDAwMDAwIG4gCjAwMDAwMzExMjcgMDAwMDAgbiAKMDAwMDAzMDgyNiAw
MDAwMCBuIAowMDAwMDMxNTk5IDAwMDAwIG4gCjAwMDAwMzE2NTAgMDAwMDAg
biAKdHJhaWxlcgo8PAovU2l6ZSAyNwovUm9vdCAyNSAwIFIKL0luZm8gMjYg
MCBSCi9JRCBbPDk2RUQxNUYwNEE5MDE3QkQxQTVDOEY0NDAxQTFDNDEwPiA8
OTZFRDE1RjA0QTkwMTdCRDFBNUM4RjQ0MDFBMUM0MTA+XQo+PgpzdGFydHhy
ZWYKMzE4NTMKJSVFT0YK
====
***end123***

probnumber=2
probname=B
probfullname=CCA A 1
probbasename=cc
probtimelimit=3
probcolorname=cccaaa
probcolor=333333
probinputfilemd5=41545cd5f6a54ab28996d8e0109ba756
probinputfile=c.in
ac
ac
ac

ac
ac

ac
***end123***
probsolfilemd5=696fd0c1a38fa96d213ae34469540cc6
probsolfile=c.sol
caa
aca
aac

caa
aca
aac
***end123***

[end]