-
Notifications
You must be signed in to change notification settings - Fork 0
/
Nasdaq2014.nb
4659 lines (4559 loc) · 224 KB
/
Nasdaq2014.nb
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
(* Content-type: application/vnd.wolfram.mathematica *)
(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)
(* CreatedBy='Mathematica 8.0' *)
(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[ 157, 7]
NotebookDataLength[ 229395, 4650]
NotebookOptionsPosition[ 224130, 4478]
NotebookOutlinePosition[ 225882, 4535]
CellTagsIndexPosition[ 225839, 4532]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell[CellGroupData[{
Cell["Trabajando con base de datos", "Title",
CellChangeTimes->{{3.5104924228486147`*^9, 3.5104924383926*^9}, {
3.5108638668107033`*^9, 3.510863884055703*^9}},
FontFamily->"Arial",
FontColor->RGBColor[0.5843137254901961, 0., 0.]],
Cell[CellGroupData[{
Cell["\<\
Miguel Angel Hern\[AAcute]ndez de la Torre\
\>", "Author",
CellChangeTimes->{{3.510492444842245*^9, 3.510492458585619*^9}, {
3.5108734762107034`*^9, 3.5108734762167034`*^9}}],
Cell["mihernan@itesm.mx", "Institution",
CellChangeTimes->{{3.5108734775847034`*^9, 3.5108734829427032`*^9}}],
Cell["Ciencias B\[AAcute]sicas, ITESM-TOL", "Institution",
CellChangeTimes->{{3.510492460953856*^9, 3.510492497311491*^9}}],
Cell[CellGroupData[{
Cell["Bolsa de Valores", "AbstractSection",
CellChangeTimes->{{3.5104925242751875`*^9, 3.510492528419602*^9}, {
3.5108639980517035`*^9, 3.510864014291703*^9}, 3.5108643897907033`*^9}],
Cell["\<\
National Association of Securities Dealers Automated Quotation o NASDAQ por \
sus siglas se crea en el a\[NTilde]o 1971. Con el tiempo, el r\[AAcute]pido \
desarrollo y crecimiento de este mercado lo han convertido en el principal \
mercado electr\[OAcute]nico de valores del mundo con casi 3.300 empresas y un \
volumen de acciones cotizadas que, a veces, llega incluso al superar al New \
York Stock Exchange (NYSE). A diferencia de este \[UAcute]ltimo, el NASDAQ \
mantiene una operativa totalmente electr\[OAcute]nica.
Podemos destacar como empresas m\[AAcute]s importantes que cotizan en el \
NASDAQ a Microsoft, Intel, Cisco, Dell, Oracle, Amazon, eBay o Yahoo aunque \
tambi\[EAcute]n cotizan en el NASDAQ empresas no tecnol\[OAcute]gicas, \
algunos bancos, financieras, aseguradoras, etc,.\
\>", "Abstract",
CellChangeTimes->{{3.5104927087006283`*^9, 3.510492831860943*^9}, {
3.5108643830127034`*^9, 3.5108643867777033`*^9}, {3.5108644187837033`*^9,
3.5108644208967037`*^9}, 3.5108727427417035`*^9, {3.5108727898037033`*^9,
3.5108727958137035`*^9}}]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell[TextData[StyleBox["Datos y nomenclatura ",
FontColor->RGBColor[0.5843137254901961, 0., 0.]]], "Section",
CellChangeTimes->{{3.510493049904745*^9, 3.5104931403814554`*^9}, {
3.5108644656827035`*^9, 3.510864469767703*^9}}],
Cell[CellGroupData[{
Cell[TextData[ButtonBox["http://www.nasdaq.com/",
BaseStyle->"Hyperlink",
ButtonData->{
URL["http://www.nasdaq.com/"], None},
ButtonNote->"http://www.nasdaq.com/"]], "Subsection",
CellChangeTimes->{{3.510493179839455*^9, 3.510493201736455*^9}, {
3.5108644751927032`*^9, 3.5108644815927033`*^9}, 3.5108645257717037`*^9, {
3.5108647000867033`*^9, 3.5108647000987034`*^9}}],
Cell["\<\
Uno de los problemas con el cual se enfrentan las personas que no se \
especializan en el sector burs\[AAcute]til es que carecen de los datos reales \
para poder realizar an\[AAcute]lisis, aun as\[IAcute] se pueden obtener gr\
\[AAcute]ficas sin tener una base de datos \[OpenCurlyDoubleQuote]manejable\
\[CloseCurlyDoubleQuote].\
\>", "Text",
CellChangeTimes->{
3.5104931733344555`*^9, {3.510493217623455*^9, 3.510493247769455*^9},
3.510493301071455*^9, {3.5104934270944552`*^9, 3.5104934853082857`*^9}, {
3.510493517535508*^9, 3.510493606883442*^9}, {3.5104936408718405`*^9,
3.5104936773384867`*^9}, 3.510493761445897*^9, {3.510493835378289*^9,
3.5104938697037215`*^9}, {3.5104939268694377`*^9, 3.510494088049554*^9}, {
3.510494289964404*^9, 3.5104943043704042`*^9}, {3.510494353451404*^9,
3.5104943835034037`*^9}, {3.510495205265251*^9, 3.5104952404902515`*^9}, {
3.5108645321787033`*^9, 3.5108646686937037`*^9}, {3.510864703029703*^9,
3.5108647099997034`*^9}, {3.5108649128517036`*^9,
3.5108649397147036`*^9}, {3.510872835857703*^9, 3.5108728371537037`*^9}}],
Cell[TextData[{
"Usando un software como ",
StyleBox["Mathematica, ",
FontSlant->"Italic"],
"podemos realizar an\[AAcute]lisis con datos en tiempo real. Observemos \
algunos ejemplos"
}], "Text",
CellChangeTimes->{{3.5108647111457033`*^9, 3.5108648025797033`*^9}, {
3.5108648618727036`*^9, 3.5108648936377034`*^9}, 3.510872843510703*^9}]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell[TextData[StyleBox["Sintaxis B\[AAcute]sica",
FontColor->RGBColor[0.5843137254901961, 0., 0.]]], "Section",
CellChangeTimes->{{3.5108650567997036`*^9, 3.5108650681567035`*^9}}],
Cell[TextData[{
StyleBox["Data[\"", "MR",
FontColor->GrayLevel[0.5]],
StyleBox["Entity", "IT",
FontColor->GrayLevel[0.5]],
StyleBox["\", \"", "MR",
FontColor->GrayLevel[0.5]],
StyleBox["Property", "IT",
FontColor->GrayLevel[0.5]],
StyleBox["\"]", "MR",
FontColor->GrayLevel[0.5]],
StyleBox[" ", "MR"],
"Devuelve una expresi\[OAcute]n de Mathematica. Los argumentos se dan \
generalmente en forma de cadenas."
}], "Text",
CellChangeTimes->{{3.5108651325787034`*^9, 3.510865136166703*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"FinancialData", "[",
RowBox[{"\"\<AAPL\>\"", ",", "\"\<Symbol\>\""}], "]"}]], "Input",
CellChangeTimes->{{3.5108653292617035`*^9, 3.5108653399247036`*^9}, {
3.5108655128767033`*^9, 3.5108655169207034`*^9}}],
Cell[BoxData["\<\"NASDAQ:AAPL\"\>"], "Output",
CellChangeTimes->{3.6126167524522743`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"FinancialData", "[",
RowBox[{"\"\<AAPL\>\"", ",", "\"\<StandardName\>\""}], "]"}]], "Input",
CellChangeTimes->{{3.5108656190987034`*^9, 3.510865629055703*^9}}],
Cell[BoxData["\<\"AppleInc\"\>"], "Output",
CellChangeTimes->{3.6126168467436676`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"FinancialData", "[",
RowBox[{"\"\<AAPL\>\"", ",", " ", "\"\<Name\>\""}], "]"}]], "Input",
CellChangeTimes->{{3.510865703423703*^9, 3.5108657217257032`*^9}}],
Cell[BoxData["\<\"Apple, Inc.\"\>"], "Output",
CellChangeTimes->{3.6126168620945454`*^9}]
}, Open ]],
Cell["Realmente podemos encontrar varias cosas ", "Text",
CellChangeTimes->{{3.5108657868627033`*^9, 3.5108658080477037`*^9}, {
3.5108658494507036`*^9, 3.5108658500407033`*^9}, {3.5108659297597036`*^9,
3.510865961003703*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"FinancialData", "[", "\"\<Properties\>\"", "]"}]], "Input",
CellChangeTimes->{3.510865988062703*^9}],
Cell[BoxData[
RowBox[{"{",
RowBox[{"\<\"Ask\"\>", ",", "\<\"AskSize\"\>", ",", "\<\"Average200Day\"\>",
",", "\<\"Average50Day\"\>", ",", "\<\"AverageVolume3Month\"\>",
",", "\<\"Bid\"\>", ",", "\<\"BidSize\"\>",
",", "\<\"BookValuePerShare\"\>", ",", "\<\"Change\"\>",
",", "\<\"Change200Day\"\>", ",", "\<\"Change50Day\"\>",
",", "\<\"ChangeHigh52Week\"\>", ",", "\<\"ChangeLow52Week\"\>",
",", "\<\"CIK\"\>", ",", "\<\"Close\"\>", ",", "\<\"Company\"\>",
",", "\<\"CumulativeFractionalChange\"\>", ",", "\<\"CumulativeReturn\"\>",
",", "\<\"CUSIP\"\>", ",", "\<\"Dividend\"\>",
",", "\<\"DividendPerShare\"\>", ",", "\<\"DividendYield\"\>",
",", "\<\"EarningsPerShare\"\>", ",", "\<\"EBITDA\"\>",
",", "\<\"Exchange\"\>", ",", "\<\"FloatShares\"\>",
",", "\<\"ForwardEarnings\"\>", ",", "\<\"ForwardPERatio\"\>",
",", "\<\"FractionalChange\"\>", ",", "\<\"FractionalChange200Day\"\>",
",", "\<\"FractionalChange50Day\"\>",
",", "\<\"FractionalChangeHigh52Week\"\>",
",", "\<\"FractionalChangeLow52Week\"\>", ",", "\<\"High\"\>",
",", "\<\"High52Week\"\>", ",", "\<\"ISIN\"\>",
",", "\<\"LastTradeSize\"\>", ",", "\<\"LatestTrade\"\>",
",", "\<\"Lookup\"\>", ",", "\<\"Low\"\>", ",", "\<\"Low52Week\"\>",
",", "\<\"MarketCap\"\>", ",", "\<\"Name\"\>", ",", "\<\"OHLC\"\>",
",", "\<\"OHLCV\"\>", ",", "\<\"Open\"\>", ",", "\<\"PEGRatio\"\>",
",", "\<\"PERatio\"\>", ",", "\<\"Price\"\>", ",", "\<\"PriceTarget\"\>",
",", "\<\"PriceToBookRatio\"\>", ",", "\<\"PriceToSalesRatio\"\>",
",", "\<\"QuarterForwardEarnings\"\>", ",", "\<\"Range\"\>",
",", "\<\"Range52Week\"\>", ",", "\<\"RawClose\"\>",
",", "\<\"RawHigh\"\>", ",", "\<\"RawLow\"\>", ",", "\<\"RawOHLC\"\>",
",", "\<\"RawOpen\"\>", ",", "\<\"RawRange\"\>", ",", "\<\"Return\"\>",
",", "\<\"Sector\"\>", ",", "\<\"SEDOL\"\>", ",", "\<\"ShortRatio\"\>",
",", "\<\"SICCode\"\>", ",", "\<\"StandardName\"\>", ",", "\<\"Symbol\"\>",
",", "\<\"Volatility20Day\"\>", ",", "\<\"Volatility50Day\"\>",
",", "\<\"Volume\"\>", ",", "\<\"Website\"\>",
",", "\<\"YearEarningsEstimate\"\>", ",", "\<\"YearPERatioEstimate\"\>"}],
"}"}]], "Output",
CellChangeTimes->{3.6126168741202335`*^9}]
}, Open ]],
Cell["\<\
podemos usar la siguiente instrucci\[OAcute]n para saber cu\[AAcute]ntas \
identidades financieras cotizan en la bolsa \
\>", "Text",
CellChangeTimes->{{3.5108661006417036`*^9, 3.5108661238847036`*^9}, {
3.510866187640703*^9, 3.5108662243737035`*^9}, {3.510872911291703*^9,
3.5108729126577034`*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
RowBox[{"FinancialData", "[", "All", "]"}], "//", "Length"}]], "Input",
CellChangeTimes->{{3.510866145640703*^9, 3.5108661763087034`*^9}}],
Cell[BoxData["145503"], "Output",
CellChangeTimes->{3.6126169035629177`*^9}]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell[TextData[StyleBox["Ejemplo",
FontColor->RGBColor[0., 0., 0.]]], "Section",
CellChangeTimes->{{3.5108664135787034`*^9, 3.5108664164157033`*^9}}],
Cell["\<\
Realizemos un ejemplo, donde el objetivo es crear una gr\[AAcute]fica con \
valores historicos.\
\>", "Text",
CellChangeTimes->{{3.5108665500637035`*^9, 3.5108665543227034`*^9},
3.5108729264507036`*^9}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"FinancialData", "[",
RowBox[{"\"\<VWNFX\>\"", ",", "\"\<Name\>\""}], "]"}]], "Input",
CellChangeTimes->{{3.5108665577877035`*^9, 3.5108665914227037`*^9}}],
Cell[BoxData["\<\"Vanguard Windsor Ii Fund\"\>"], "Output",
CellChangeTimes->{3.6126169230350313`*^9}]
}, Open ]],
Cell[TextData[{
"Su ultima cotizaci\[OAcute]n de ",
ButtonBox["Vanguard Windsor Ii Fund ",
BaseStyle->"Hyperlink",
ButtonData->{
URL["https://personal.vanguard.com/us/home"], None},
ButtonNote->"https://personal.vanguard.com/us/home"],
" es "
}], "Text",
CellChangeTimes->{{3.5108667303227034`*^9, 3.5108667421767035`*^9}, {
3.5108673179207034`*^9, 3.510867319232703*^9}, {3.5108673620237036`*^9,
3.5108673947767034`*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"FinancialData", "[", "\"\<VWNFX\>\"", "]"}]], "Input",
CellChangeTimes->{{3.5108667455497036`*^9, 3.5108667570577035`*^9}}],
Cell[BoxData["39.43`"], "Output",
CellChangeTimes->{3.6126170285500665`*^9}]
}, Open ]],
Cell["\<\
Veamos ahora su hist\[OAcute]rico, hasta la actualidad\
\>", "Text",
CellChangeTimes->{{3.5108668088217034`*^9, 3.5108668333217034`*^9},
3.510873000298703*^9, 3.510873098201703*^9}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"DateListLogPlot", "[",
RowBox[{"FinancialData", "[",
RowBox[{"\"\<VWNFX\>\"", ",", "All"}], "]"}], "]"}]], "Input",
CellChangeTimes->{{3.5108668378097034`*^9, 3.5108668516197033`*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {{},
{RGBColor[0.24720000000000014`, 0.24, 0.6], PointBox[CompressedData["
1:eJxUnXlcDd//x8casky2kGVC1nCRJYUZZMk2spT4MPY1LtkL177rUvZtLFlK
jELZx5YlNNZscdG9WTNUsvud75zfH72+/3wfz8f7nPd5ndd5nzMz5359cx8+
OWBUQYZhIqoyzP/+m/xHtVfKEAqfWu3y5GVGe8J6mcrAXBtkcSThETd3jRhT
wv4/tqzFOFuqSoYQ4VXuyaXlRpxvhWweRrj8IfH4syEGaycID54+Y3RovMGS
lxvErUOQ1eVukE+PxziXjqwMqpohFPoye+w5L4NtS6pCf1apCuPzTzFuLlwN
mFlUDfKb4qpBfimtGvhjLVAdWG1YHdqLMdXBP8sDbK/8xfa2ejVgfLZvDYjL
d5G1XzUgP1OHyxBqpSc9czlhsEnkYDxpDof18B3bc7XcgcWeyJaZ7tBf2Y1x
nqsJbPZHlqfVhP7aTowzN5CtXWpBe3UKsr4NmUtGFnVkdktt1HsZ2fwJWXb1
QD83Iksq4UGz2tZ3WUn1vifsvHbNC6k51Vu+ToYwoZlvMcWJ6m1H+GKnrNaX
n70x/DxHWLG6pWw5arCSiXGbS11g1rcutOdH14XxtAxsz5SplyG8frCyYvNF
Bpu8kaURyFzJ+pBfbFkf9FskZGVlfRjfdhzj5uYNIJ/8XwPQpy1DZuIbQH/T
c2Q1uGGG0KH69SGPhlA/FyNzRxvCeohPkC2FPIHZhcj8YU+sh0eeUD8y0wji
WoNG0F86hHHr/UZ4PvxB1us2BuYCGsP+VjRk28/GeD54NMHzuHcTiJtnY5z5
Tviz98+/HRo7DH9rmjKE+47PcvVAg6UeJohbZxC+MbxRcPJ8g1UZ24s1mkLc
0o3w3MJf49ocNFgJxbhtB+EvNSfUW/XdYPY64b2mSj3GcpmGv52bZQhNUtdU
C9eMuGZGZrY1g/7SZ2Q9pDm05zYji5cIt2suFi7f1RjP8hFZqegFevgNXhA3
X8C4/I5wf3PhlLWTDdbKtYD2TDvCDTKDarzIMNh6lrBS7lFSnWZvDT8dyDrb
MkN4ce6eusXZYM4HWRzVEtrb3rSE/GzpVhnCpNHvhmefo3qHI8urW0E+k3Nr
yCe1IFzjVreZS4KovhUY1xMwbmnmDawMJjzDO/hUG53qW+oN/dlj3jA+/wxZ
G9gG2jOLkU1H2sB40mPC/9wXjz85z2BrQR+Icwt8oL8Y6wN+WR4S9iowqtKT
jXT9//nAetrq+6KfB32hv3zPF8bTfvuCHqZuW4ib+hAef+qvbL1J/U0lfOOS
e1YJn3eGvz/agn9c7XbQXuzVDuKWWchsHuH5S4ukNZWMfLx7e2Bzd8K9Tkal
NlpisDyd8NFGO2bvv2OwtotwTMbVd3t83ht+duUzhHFhU4o1PWCwOpXwjx0n
G0UPNVjfjnHuGrLiJwDbJiOzW5H5K4SjvKZpQwI/GHqzCH+vuCir7hyDmZAO
GcKxOzeSJnsZbNqELF1Etn5AVit0BBajOsJ4lvOEVw8NLZRW6KOh/y3h3d27
pd/rYrCtbKcMYUvD9FntVxnMtiUc0TXDs8Ydg+UzGNfshCs/+3FTPWwww/pB
e1MbwjMXJC+c0PSToX8kxvXXhFfELxemsUacK9UZWGxFeJbNpvMBBluGEXZe
PXzMskiD+RJdMoQxo39qOVMNNnt1gf7yEML+/RtnBn+mepd3Qb0JXWD+1qZd
M4TOZ+r8dXgYrA7qCu31JV1BP6d0BX3i064wX1tQN2B2UTfQx8cR7lB4S973
BKo/DVku4A9ssiBLMf4wf+sDf9Cj/vWH8fR63YEtB7qDPuVud5if7Vd38Iet
0wOYF5G1Oz3Q3x89oF5MtXoCSz17QnvrTGTuG7LI9coQzk93/bR1nMEW/16Q
T5nWC9bPtrMX1Lu5Wm9guUtvrOcpvSE/s7031I8puTf6OUkE/7ktItSneFmE
9bJ8wjg7sQ+sF78R2az2gfWR32NcKx8ALEUGwPpZzwWAf2pmAMxHd+kLzPn2
hfkop5FtGX1hPLZMP4jz3v1Q/4h+MH/mdT+Yv6lk/wyhX6E+V7o9oPpbEn6S
dqP2HK8sQ7+ErK4knNcgutWvUIPF4gMyhPSKH86ujjTY0hxZ+Q/ZtmwA9JdN
gaBPCw4E/cySQNR7FFl6Egjz1wODYL24hUGwHuLhIPDb8ghZYQYC8/MHQj7z
oYEwnnwfWfszEPXXCwZ/rfuD8XzQgrGefwajfo9BeB73HoTnw22Ms98HYT3U
HIzncw9kecZg0GPKHYz1UOM/rIduhH8MEnz/xdN6CEXWdxAOfDDqa8A9Wg9V
h2QIwXtHui3/QuuhM7LNTHhnv5WHUld9NvRvQ+avImsdh2YIo0aeit/UxGBm
EuH351p/SbxusGkz4ZInynUPiDFYujQU+ls/IosbpAxh9NutX3eyBlsuSJBf
eUfY7USth01CDLaVGwb6zeuHQX3LZ5E1BzLjMhz99hmO58Op4Xg+vBmOz7vS
I7CeWyNbhiOzr0ZAPfHOI7GeW4zEehg6Ep/XK5ClYqPwedFsFMTVwaMgv74U
mTs2CupVaTIan9cDR+P5tng0nA/8kdGw/82PR4N+JnAMnhcLkKXYMbgfHxJO
nD6tzJwcuh//YVycNxb6Ww4iK/eQbb/HQj627jhgOXoc7CctFZn5OQ7OR1Pt
8ai/13g8726NB3+4PGTRfQI+/7pPQP3TkfkcZHP1ifg+1HUixLWpE2H9mB0T
Yf2sbiGw3qpfCDzv9cnI3FZsL14Jwedfh0mghw2ZBOvFb5qEfn9ANo2fDCxF
TYb9aT0/GfxX306G9dHLmqG/ZR2ycsYMemx2wnfq1K2ysrzRn2WnYD23QdaS
pkA+5s0U6G8qNRXP51bI1mFToT1nmwr5xBKhWM9eoTC+bTmy2Wkang9Np+H7
z6BpsP4mZRroURtPB3/1oOnwvOAWTYfzV4wjvK/stQ1Te9HzOG06Ph8GzIDz
nbcgm2MIL0p7cI/JNFh+QPiIe4h1p4tu6P1LuELKn7DNnMHS3JmkvTh96fB2
BlsPIKt3CR/0Kmxe3MRg/Rdht/cXWwTMNpirMytDeJT353GzngYr+2ZBf9sd
wqHFDmyKGW8w+2MW9OdrzSbfh50+hH5cZrC5J+HKcTPGz95oMHOL8J6N05v+
2Gew6Ru2l7g5GcI5Psk2IYHq9yf8rHfxAQ00qn8axsXsOZDPUi0M9CldwiC/
bUoY6GW3h0F+rVN4hrBjyBz/GS+o3smEN3T4tujER6p3C+GyAU250sW/GHov
I+vC3AxB2HMn4u5F6ufEuZBf3IhxizoX9CvvMc6PmwdsjpwH+eRz82B8LZPw
hhcTj9Z1NZgpOx/YaiW87lD5ym9/Uj9PY1zPmA/5uDIWiIveFojbEi3gD/sa
43zJBcDmlsiyRPhcmHyuRXODTS8JO693nfh5MPW3+EJga3Nk9T/C/Ue5rls8
i+pfRniQ5dSYBoLBlqKLYD0V0yLUH4zMLiHcLDruuZcH1X+U8LBaJv3CeOpv
o8XATNBiaG9auBjmIx1eDP5YHy0GPVz/JeR9L6fQgtxBtD7mL4H9bTmEceX+
Etxf4UuhnuX9S7GetaXQnvm1FPajyWMZ7Hd17zIYT7+NzH1fBvnEmsuxnnss
h/HZFGQ+dznWQ40VWA/dVkC9aaEroF6lryvAP2vVleCv2hlZNyNz21aCfqXy
KvDP1nEVnKfsJMLh1ctHbixI9W9eBeeh+dIq8Mc0YTWcT9KG1bC/rRcwrr5D
FseuQT/Xr4G4cnYNzMfmWAP+sC5rIS5HrIX61E4hMxnIptIRsH+k1hFQ7/pJ
wp6eTUe0XUrPh1eEnQvFzXkfSc8HZyuwpQXhWi+Wfli122BlKOGsG8tuuB+l
++sF4ZmbOtc7fJbWQ7F1EJebrYPxtMEYZ5atg/GsRdYDq03Ww3mhD0TmFq+H
/DbPSJgvGxgJcX4BsjkW28sPMW7qFwXnkzQvCvywHoxCvfcwrv+OAn8sYRvQ
z2hkW+oGyMf+3ID6a2+EuLZnI/RnbiOb8gi/WlLPreFNqt99U4YQc/tbcSc7
1d8dmbtJ2OXdsBM702g95CBbqm8m9bX1TMORX6n+roRH/vVx/1Pyq6F/KuHl
R/o3OvmP+vuFcFrAm3uxghGX3bZkCPMrXnWdGmGw5ofMmAl/Y+vvDr9ksGkr
slppK7DegXBBvy3PNiw0mAtBFjdhe8tFZJbfBsyPJ5zwYmzg1WcGm6MwLp/f
hvrfEh4V+6bl+bEGS2O2w/jWddth/uoZwisOJ1b2rkL127eDfxy7A9bDlrQD
6od9g8yX2gnra261E9aHObkT8ptsO2E9pRK7IJ/VaxfsT3XILqgnMX0X1KPF
SQa9SlMZxrcNkmE8dim2lwvvBj+0xrtBLzNwN9STadFu8FOKQ9Yb7gHmBuwB
PaJlD4xvidkD81ce7IH58n33wn4zz92L+g/shfNBu7sXzl/m9158fszZlyFs
/xPWq3oW/X1p3z64L9fv7IP7Ku7HPvx+rhWN33O7CT/puHNJtwvG7znsrWi8
j/8WDfffZm4//h7ivx9/T7ixH77XpGyMW6sdAFa7HMDv0SkH8HtUP4D3K1UO
wn2NrdNBuK9hJx/E79EtB/H7zvUQ3q90OAT5TRMxLm08hPff6iG8324fg/dX
42Lw95DIGNSbGQP+mkfHwu9rsjUWfr/TThMu8M5zVMp2+nuenXCXz2zAmZvG
+pvKHMbfG9cchvrQEw9Df+71Yfi9QiwZh7/ntYyD8dkTcVgPL+Pw94/iR+C+
Q25+BOLaf0dg/tLzI+hn0aN432Y6ivdtwUdx/Qsp8HuKrREyG6TAePxCBfQx
DY9hvfY/hvcn84/h/fChY/C9r94/husdEA96LeHxqHc/xm0aMvsrHvajPDsB
9Gh7E/D3jjsJeD/xHVmqeRzuQ3SZ8I4ufyb596PnQcpxmJ+Yexzuhyw1TsD5
oXQ7AffF/PUTcJ9s/noC7jfkqifh/kPrjMxMOQn3zdbPJ/H+vXIijK93TIT8
3KREGF/cjHFWSALmJySBfvOGJOgvX0iC+xZTu1Pwvi+NRbauR1bPnoL+uuMU
3N9bRp2G+xYlAtl26jR8f7EZyHzpM9BeW43MJJ6B9qZXZ+D7RHI+i/pbnIXv
S+74WcgnvkC2FDsH+ZRm5+B7xzYY2fwM28tFzgNrTZCZ4POgz7T4PNyPqQUv
wHrqnhcgzgViXFyAzDZQof74firWwzwV/JAPImv3VPBD6nMR79fCkNVoZD31
ItbvT2Rl1iWoR9seZPb2JdgvfN4lmI/Z/TLMh5Evgz+mm5ehHqUcZGv1K1C/
atcrkE+8dgXyWb5ge8XtKszH5ncV9LHmq6BfzkLWKiXj718dk2H/m0KSob20
CdvrFa6BXo6/hvev46/h77lR1+C8Uc5fQ3/bXoe4ecx1yCevQ9bOXIf5M47r
oE9dewPqSU+6AfuVe3MD6kUsdRPitlXI7MmbUI+87SbeB5VIwfsgrxSImxKQ
pfQUvG91ugX3D2rTW3Cfqg+6Bf0tTzGuFL4N90u2xrchHzsQmV+ErBW4g/fF
nndAn2kAxiXLHehvjcH2Yt9UuA+xzE2F9soBZNvdVOhvFjWIy3M0GF/bp0F7
JhXbm35ocF+lzrwLcX33XXi/525hXPx2F8azcPfw/nrXPVgP/gayOfserI9c
7T7q73If/JGS78N9klVHVqs8wPviTsjcZGTl0wO8b3V9iPfFHR7C/PmJD9H/
jchMhUdYz+0fQX9pHLI18hHet51DFn3TsJ5Hp4G/ijUN8tlOp4F/rB1ZHvEY
63kNMpOEbHr9GOu55BO8rzzxBPwTXz4Bfy3Fn6LfzZH5eGTz86dw3ycXfQb3
1ZrpGf5+MOgZfI9anyCrhZ5nCOoLL71sb1oPjZ7j/VoQxsWFGLcx6cBsw3TI
z/dHNs9Ph+9l+VA63L+Z6r0AlgKQreEvoL+6H1nXXsB9iKX3S2Bl9kv43rft
fQn3Geydl/C9z39H1mbY8L5ttw3ymVIwLuXa4P7CWuMV3vfsRBavI1u+IitV
X8N9iq3za7iPMF/FuPwZWav8Bpjp9AbuR0yT3oBf6sc3cB+kV8yA+XJCBt4P
TUC2bMjA+ihvB+bb2WF9zWPtWN/r7VjfZ+1Qj5KPA9g6yoG/L0U4oD64DIwr
wzNhfNvqTKyHxEy8b3uVCX6Ynd9iPax8i/Vw/C2sj/QC2VrsHayH2gxZPIZs
efYO67nIe6znJu9BHxuMcfnxe6yHgh8gzjRCNgUiSws+QH+uwUfQI/ZDtsz7
CO2Vgxg39/mEvxeEfQJ/tGhkRvsE9WrtlQX7S52FrO/Jwv12m3CZ3Rn1xtel
+y0P2Tb9c4bQrnq8ZPWi98MyMn+TcLn3Zdad7UXvh3M+4/12dR3YtEOH/tI1
wv5b9h2+NIjeD3/R4f5YdfsC98e6H+Gatx6cdD5Ez4MrhJ+snNvmxgl6HmQR
vvLl8U+PVKq/0ldgtiMyH4KsfUBmKmaT+h90ocrYAtmGfh5ZGk94TfWI5OC3
VH9UNujhyuXAfbnYNgfiljE5cL+urMuBfLYzOTCePDI3Q7hTMD3QkUP1rs2F
fMypXPy94E0u+KcO+wb39fqqb+AndxLjou0b6i2RB8yuyAP9fEIe+GdOx7js
9B3mpzX9DnFJ+Q7ztT5FVgv/yBAmZc6rbitlsN6YcBvh5+uh7Q3mBv6A9kra
D/SzwE/wj/X8CXF+wE9c/38YN9X/Bf2lvsjWub9An3rgF+gT6/wm36vhf1tV
HWmwRSQcOTfptiOQ6p2DbNtHuGqd+c4HuxvMpmJ/uecfaK/NRGb2IJtuEd41
U/Er3ZzW7zfCHbcvD+pqpn5O+wvM7SKca+7uskOm+m8QZls4r992mOrPxrhS
7V+GoJy+6LYuyWB+O7I5+R/0l3VkrQpjFxKeppyZe4Xq9yN8fe/Y+cM0Wg+X
kdVPhPPl110LAHMdCOfLL05Etr0nnE8/W6GgXVCnOK3eEEX1ty8IcfM4ZDmS
8KuMkJqPs6m/ZQvZBanticZ9nHMMf32RraMJu8Zu/XOgpsGqFVk/TXiqy8tJ
umiwxbuwXSj4PuPe6zEGKyMIR0yZ8vW5t8G2NYQLRMU+Ge9nMJuEzL8m/M/p
37mQwQYzq4pA3HSiCMSll4SHXhNP9Q6leosXtQuRQafL58UazC0nPNj4944G
i/GE36x6MC5epnqfE7aF7Uwce4nqLepkF3ISj13dcJvqNTlB3HyU8Izv8sPm
iQbLT5wgn1aoGIzPNC4G45uCCPcocunGqA3Uz0fIOlMc2nMNkcX+xaG9ZX5x
0Mv+LQ76+Hol7MK4ZZdKnHlM9QeUgPZyeAnIr+0vAX5KHs4QV2c7w3z1vc7o
9x1nyK/0KGkXgkvsWff4DfVzBuGg9jluhYrkGnp3E159Pax8QdZgPgXZnEv4
z5vLWXdNBjPTStmF3gPk0HceBpt2Em7UctuiH1UMlq4TXqHW/xfvY7D1ayno
r1YtbRcqeb46srqzweK20tDechXjymfClg03bw8NN9hWuYxdqF+wZ9P+26n+
ToRfrTjSLGu/wfIlwvPKXraWvGuw9pHwginRAyOSqX5XFuImAVmaQFi+cKit
81mD9XeE22nDp321G8yVdwEW27lAf8tYZGU94dkVTje3HKP+upQF/WafshCX
R5WF8bUIjDOnMW5tXc4uzJndsVjpZdTf4cj66nLQn0skHPP3UZNzP6n+V+Vg
Prah5e3C/sCkZoN06u9Kwu0Ti35c+IzqP45x84vykE8uVsEuTCkzsHhImW+G
n8cIdw6eO61SEYOtzyrAeGqRipBfb4JsOYKsPEa2FXQFP9hGruAvH+gK89ce
YnuGqQRsaoAs9UO2zqsE68v9qQT1J9atDGzpg6yEVYZ6tEVXhvmYa1cBf+Re
hE//LZp3urLhnzaLMP331gYzewmPmlyuc8HaBptuE678tU6Dua0NVru72YVh
bG6q0sFgfbob9OdkN8gv3nSD9bLkuMF+Z0Orwn7kdxA+NyYo/dNoqv8asvyl
KqyH5lYNWNpaDfJZryCrWch6pepwPnAdq8P5olxEtn2oDnrYijXIebNqYEjM
FKqfJ+zxxK18g8FU/3jCM/5kOA3tQ+vjXQ0430zlOMgvteWgvXUMB/rUdRgX
WXcYz9LGHc+7kRi3rUVmT7mjv61qQn9tWE3Uv7omtJdsNdHPIbXswq0C3eqc
WEf9XFEL6zkB45b0WrB+ilNtqGd+aW3YH2alNp5vT2tDfq2wBzDTxAPaW+Mw
rqZ5wHh6gTrAnGcd6C8OqAN6bQ/qgF/svzqwnnz9uhA3962Lfs+tC/5JdepB
PVnFeuCXOqcejK/vqwfnidKzPpyntpnI7J76eP7eqo/PB/8G+Hyb3gDOf9Ou
BqBPutEA91t2A5g/N7Uh1Lu4vSHELckN4f1A0RvC+WCr4gls3uKJ7zuXPeF9
SPvkCe9LTKVG+L7WAVlVkfX3hJ9seBd+fB59/6nQGN4XxfaNIb9lXGN8X3vb
GPTwZZvg+6YvYdFeYlRWFtU/ugm8T2lWZKmMCfpbvU0wnjrCBOPpa0zwPsYl
EQ6cvzvi9w/6viY1Rb2rkPkTTWF+5pdN4f2QGdIM2puWN4PxpfhmoN/6vBmM
rxZtjvWwpDnotRxtDuutPEG2FfLC/dbYC+LyYS+oL+2RF4zHFGiB52/DFtBf
6t8C+uv3kbm/2F6s1xLq1xLQEuavhCPzv1qCH2aPVtBf7t0K9GmzMc7sawV+
WWu2hnpSe7SG/vqM1lgPu7G9mNIa3+e7eUOcneYNevmdyObr3ujnlDb4/r6t
DfhlvdoG6+FzGxhfr+yD+2uzD+xP5ZIP7E/bR4yzrr4Q5wVf+J7VLvji9+h7
X/g+MpVvC/mkdm3h+8w6ti3sRy6zLewH0aUdzMfig6yMagf+2iLawfeKuXR7
fD60RtaGt4fnN7MG2ZTYHp7Xagse+utDkbmVyOJxHt8nXvCgj18m4PvZMWT5
GbJWpAM8v6TFHfD990gHeN6ojzGuF+wIz2uuUUd43iixHSG/7SG2Z5lOEOcb
dIL+5n7IzP1OcL6Y/nQCP6S6fvh+1scP4mqYH5wX4k8/PB9qd8bnXa/OeL7N
6gz92b2dwX/ZvQuw1r0L6pW74P672QXPs65doT8X2hX0iDu64vP5Wld8n/yC
zJu7gR/mrcjylW6oNwvjTGV/GM+6yR/Ph4vI+gd/PM8qdsfzjO+O59n57tCf
fYfMl+sB/c1te8D+lsf0wPPB0QPv19iecH9mbdMT7rfUkT3hvNHX9oT7M0up
XhBXWvWC+zbbMGR2NeEJt6PSGFeq/yTheSsuR5d+S+8vvXrDfSAztDfcN5pW
ELb/CGk7IZzevyYQzndfbE0nHPOuqEdCHXp/OVi0C7XPRucsXk7vL5eKcD9p
UUTIrzwVIb+tcB+4D5XjkLW0PnCfyhQMQL2eAXjfGhOA960PAuA+lPuHcbF+
X9Bv6Us43/0ye68v6OV/I5vr9LPDfbfYD/zR5vQD/6QfhPP9nmGt1d8O/16i
J+H8v3/MJJzv9yduD+FYR9GinbbT32O4Afb8vyfY/AfAeOx0wvl/P9iF7c03
COf7fYPpGgjtTVMDQY+0PRD0WJMJ5/v3AKpOON/vbeLkIHv+38ssWwjn+31N
uYxs+4Tt2UoD7fl/z5E3DgS9mopx5sNA8NNUIRj8ktoHgz79XDDo594Szvd7
oFh2ELS3+BLO93uVMppw/t/r7IPAP3OZwRCXvQeDHm3EYNS/lnD+32tK/mfP
//uI2pJwvt9bdOk/qFduFcbFE8i25kMgHzuEcL7fW/jlyPJzwjOv8VN7VaH7
bdBQyCctGQr5rEeR1SeE8/2+pBeSYP9YFkpwXiiHJdiftkcSnKdsgWF2oaHL
4m+b/1G9DYfh+XYI48wDjJv+DoPzUao3HH//CCB8Nv5UqO9z6ufd4fB7j/hr
OOS3eIyAfEpvZNvsEXD+m7+PgPG0HiOhPTNzJOQ37UZWa4yC/ty0UTA/ceco
8M9yfRScl2yX0VAv/JTRcH6Zt42G9ZKvYnvtM7I0aQzUg3XzGMinXhoD661/
HAPPH851LPijbCD8bEOtuM6NqX8XMM6+HwvPR778OHj+mduNg/dz5tw4eD83
ZSJLLuPx+9lnPH4vjRoP7wNixnh8/y09Ad83W0+A+yDb8An4vrlmAry/ys4T
4X5UazER7kcZiTDjpnxP70HvW1dOhPtX6TjhwXciDxcOpPer/4UAi8tCoL3l
GLLyLATG44MnQdy8eBLcD8lHMK49RmYKTQa91gXIaixh85H4cmMi6f3wQ8L1
jjWaOWwH1c+YIS42IPyga//Q0SsMth0kHFG409qh8w1m7xNuWWPGo3YTqP4/
2N5cdwq0l/sgm7Qp0F/6OQXWw1p7Kt5v95oKcX3WVLjvtuRNBf8V91CYn607
4YzY2fs7HqP6ZxDu1mJFdP8D1M/q00Af041wzf7/Mt7eoXpDkaUdhP8+bR5+
/jHVe20a5Oc6Tyd8c2+7Ulepn+bp4K9lK7JyhfDGltELGp6herOwvzlkBowv
byLsGbl/VIdyeYb+i4S9Tu6fkOptMPORcOGrPxdH1THYVHGmXbhcqc/Dx/+o
n1EzQb9+nvD6HUed176m+t8hi+VmgR5LW2T27CxYf94xC+ZnZmej/jbI2sjZ
kE96g2wtNQfWS201B/zWh82B+XCr56C/JcKwnr0IF/O7lV17GNU/NAzqjV+B
bE4Ig3plmoUDmwaHQ35paTiMb1XCob7Up+EwH8uiuaBfiSNcyef+1sCPVG/a
XFhvtuA8u6DVefvMy2SwbEHWYpCZh4QdYY6hWVVpPfxDlurPtwtNtC8mt2/U
zwPzsR7uYVz8PR/roY4F1lMRLaCfT8W4+QeyXGsB7seeC2B9mVkLsB6+LQC/
VW4heX84tHNwwHSq338h+M1NX4jn266FsP62aotgfLYrMj91EeSXk5FNfosh
vzQZ2boFWb2MrH9aDPvfMnEJ+KdsXAL+21Rk9sMSqA++wlLY71rkUmjPnF8K
62t6uxTqTyq7DMa3+iJzZ5ZBftG+DOrJUmY5nD+K93KI20Ygm18TXmOtH2Et
Tuu55Aq74FSops/IjrSeW67Aeh62As+3VSugv1p8JeTXm6+EfNwQwlktvPtk
9zBYXI5xSzz2Z5uugvrjB60Cv8xLVsH5Kx9dhfvxySoYTwpaDeNZF66G/uph
wnmNLhwPH0D1P0LmCqwBth1aA36wD9ZgPfxFNtdbC8wcQDbdXQv1Iv1CtnpE
oN+9I/B8uBMB9WH5jqzUtMJ4th5W1D8TWc7F9lqNdajfH9k0bR3ok3Yi61XX
Q36uy3rwX5yyHtbPsm099FeursfzrVMknm+TIqE+5M2RcJ5pl7A98ykS9qN1
QhT6uyEK9OkXorCe3yOL5TcA29ZvwHo+twHy85nIZpeNsJ6yD7Lp9EZ8fmRs
BH3W0pugPtXWm6D+9eGbcL+92oT+Om8G/20tNkN+ViJ8eZ45+9tUqn8l4bjZ
v1PHhdP6KLYFmGlO2G9Vetqf3bQ+/kOWliFbj22BeuJMW2G+YjCyZfFWfP4d
2QrraXu8Fc53c+A2YHnBNnwfit0G542J2Q71o87bDvWnH9yOz+v726H+xD/b
8flSdwe+v+3fAXFe2wHjmX/ugOehXHsn6u21E/RIt5GteTshv+q+C8bXuyNz
M3ZBvSk5yLbqsl1I3TFnIiPR9Q+VYf3MOwgP/rvm2/7jdP2r7ibtE7qfnfaX
rn9nwtXfPZ+ewH439G1FVq8QTp/a2TmlssFixz3AlhDCpSqlxW90MljZhGy7
uAfysR/3wPjy+L3AWhThnAlBFXM6G+2ZC4TPJdQpog0z2PSOcL1Npct/6m2w
VG4fsL4OmTtLuICSeOV9Q6rfQTgtNq7Ut7ZUPxtN3n+yv85Kr0n1t4mG9vyp
aGhvfoMsl9oP89Na7Qd/mOH7YX5WG8bVEgcgn+6FzA09APMRVxwAf2xOB+3C
4acnCp0eT/1tdhD84gcT3ha1pN78cKp/KcZl5X/9P0wr+SqI+jnwEIxvXYSs
xh2C8fS0Q5DPMiAGWLHEgH5bDOGTBWJL7Qqleh8i8/+QtbmxkI85GAvjm+7F
Yj38joX1s9Y5DH5z0YdhvcVUwj3KSDlfvaj+H9heqRUHbOsZB/nNt5Dlb3Gw
Php3BPQx3Y+A36bpR2A+ajbG9WpHIR/X9SishzgV45btR0Ev66ZAffJ+CsTN
k5HlLYTHdu+yumcu3Y+XFahfqcMx9Hci4ZMj7435/Jo+3zYSLh4fXaN/LH2+
qRjnPhyDfMq4eNBni4wHv9jz8Vgfb+Ohnpl1CeCH6UwC1rM9Afy1ljkO/VXv
4xAXk5Atr4/D+ErJE3ahxIszA4OXUL0tCW9fn1m+4CaqdxjG5ZeEE/3/LHI9
Teuh+Elgxotwh1aJmdolqn8IsrQc2+tFE+1CHa396iUptB6aJkJcHIRxyxLC
YuHXgwYeo/qPEk52O7PftJb62TjJLjR97Dl+40FaD0FJML68MAn1H8b2TBrG
1fmnYDz9EDL3gHDowfMzWjygev+egvFs4achzh44Dfn5uxg3/zoN85U9zqCf
+85AXLpzBvJZvyOrNc+i3z2QLSlnIb+SexbmZ6txDs83f2R+2jmoD+0rxplq
5yFu6nIe6kuagnHrtvOwnlyVC1gPnZAtkwiP/Bpw2Pac6t9MeNa6cs2W2amf
ggosT1DBP22DCv4zKuHyDW88GvKP6n1PuFj38NSvTj8MP8dehLi+nnBy30Kd
It2NOHfuIrQXM7G9xeUSeR9q16ND8jfqpxWZP41szrgE85NLX4b5aK0vQ1xK
vAzzs766jPqdr9iFj+a4FuubGay3IHxubJzn/I5Uv4SsvCCcllbsW1Z3g23F
rkKcbU74uvH3bAzm/7sK+c3LCG+bY/1bvoHBTNFkiJtMyFJwMrS3LkZWj2B7
sdE1GN8SiKwsIPysQL+mC1mqPxaZfXQN/Jb7XYd60OYhM4cIj/csU6p+Fq2P
+9dhPaQ/17E+wm4Ac/tvwPiidgPmZ/mJcaX2TVg/8+2bML6cdxP0a+4pduH8
rZYFSlWmfvdIgXzWmyngj5qD7fXqt4C5bshi6C3Qa/tyC9aDrXobxuM734b+
ZvNtaC9vvQ37x1T5DuiTOt6BerOGEJ7gYu8V3I/q34SsX7wD+Sx8KvinjE+F
9bBFpcL6sReQ+Xep+LwYo4H/zHoNz4uzGqyH5MD2VvYuMBdxF/09dRf1v0FW
St2D9rZW98Bv88l76K8NWStxH/xlWtwHf01D7+N+S78P+193egD9uWYPUP/g
B1jPSx+AfrbIQ4jzTR7ieTHwIYwnL3oI66vFYVzyfAR6rAMeQT7V8gj1xzyC
fNxDwlfiP/hcHEz97ZsGbJtLeHGJnxkLQqj+g4R3dCmffWct1fub8Mo4c4jr
Jupn2GO74DtDkAfton5GP4a4lIps/fEY8qm1ntgFj2F6xLYD1M89hJuUPFp0
ynXq5y3CDcWfmds0qvcb4eZrPuUJKtXLPbULvbaEJJZOonq7I8s3CCf8Z+PT
jlI/szHOVH8GcVPXZxCXphL+M7xxc7uN+qkjc27P7YLsviy60Duq3+85xC2T
Mc5XSrcLlXd1+1XtC/WzQzrE5YkY1zYiW9u/gPbqOML7nVzkS4+pvkiMc+df
gF/i2xcwX9volxBn170Ev/kzL2E+ZvtL0COXsdmFHy93tPb6Qf1bS3jPzuhh
nQv8NPxLIpwdGD6nX3GDra+xvVryFbTXW76C9pYThNcsD9/Zz9tg5SXhZPXX
yc6Cwbbir+1CLTefNSPrG8x6Ec4o9nrdkKYG80OQteeERx/8mp4pGcw4vbEL
pT3bT0wea7CpKeHoSU3W2COo/kGE9wTu/hR9kupfgswVzgAWGxPuU6BDnbhN
VH8QsrKQ8Hjj//+R6j9MOLSWvX6V5QbL/e0wX22+HebHxBDeetW+amRlqveB
HfxQAxx24cgv/5de3aif4Q6YP3fAAfMV7xKOi0zLnTmL6v3lAD3snEwyvpPy
3d9C/dyXCfM130GWvxNuuO7md/Muqr/mW5i/tJtw9wEVvEY8pH6mEK6glb8T
m0H15xL+FFZ51txfVH+Nd3ZhXl7RaP+PVL8/Yf/90s3g89TP64Qzq8Z+dU6m
fn59B/nZau8hznd5D/nMU5AZ/T3oMVX5APmkToSX5JUef+o21T/pA+rfjO1F
1492Qb+z5rk9m/orfIT5KRM+wvi2Dcis+hHro90nqB9tLDIT+Qnmazr3CfTq
o7JgfM5KeJrPurJJlX8Zek8THvrhy5XGZQ22ZGB7pfRnaM+vIRwkVAhzKWSw
OfEz+CG/+gzja8466m2pQ31Yj+uwP9UXOtSfXuwLMNf8C+xX8b8vkM/2jHCD
1CdBn45QP4t+hfrhTV+xnoOR5cXIpkLZwFKjbKznQMJdunToVzyd6l+QDfPV
Y7PxfGiQg+dDvxyYj21eDuhlD+XAePz9HJif1icX2jPhueC/aX8u1KOk5UK9
WX/mwvqJe7/B+ltuIyt53yCfzT0P5m+W80CPfDMP6zcnD/xkanxHv7shq9e+
Qz79y3eod67qD9x/nX+AHov5B+RjP2Ocr/wT5m/u+BPrIQTj2iZkqeIv2D9W
nvCp5Zlvd5cwWB2PrEf9wv144RfosY35jeu//jfqPfsbxjM7fkN+ZtQfiJsi
/kBcOvUH9rP1DbZXS/0FfeLqv9DfcvIv9FdshPNWV3vY1t1gW4l/0J5t8Q/i
cgLhUm/n/DrVymAt/d///vernZPbmaj+Yowjf9zUjHBYyNcii/tT/YMJZw+7
E9+0PfXzKca5IgUcAl9aO16xFz3fmhSAuGUgYbnPgs/Rnan+RRjnCxZ0CMNT
2kiJE6i/nsjyAMKvXRYwrqFUvwXjTCyytX4hhzDBo7brrQXU376E3eMn+4bO
ofrnEi7n1P5EqJXqP0h41bCx2aV2Uf33MG4TCzuESdsTI91XUH/DCPfs7Jjy
/DjVH03Ys6xLTP/LVH8q4eP/tZDW3KT6f2B706wiDmFLwlelylnq754i0N96
C1n9VgT661xR6K/cKApxWzZh9mb2u61xVG91J2jPdyX88JtLaXcb9TOZsPeF
7mWyH1M/vziBfpNbMWgv+RHeFdX70cW7VO/kYqCXyyoG44uVioO/lg7FQa8y
sTjos20sDvnNFUo4hB1TVowNzaJ+tid8b+LSh90zqf5xyExUCdBrOk/4S6ND
v5N+Uz99nYH10cjcOmcYTzzjDPktdmR2ZEmHEBWWd2NTLvV3bUnIZ04ivMb4
///+beh/TXhF8rrNxcsarJUs5RCi3eu++lLCYGlVKWhvPVEKxlNfIuvFS4Ne
zqs0zF+JLw3tbc9Lw3qzTmWA+aZlYHzzIGTmaRnQbyrMQlxqzEI+axAL660u
ZKG+xAIusN6Whi7QX+nvAvOzzcc4G+MC/sv1ymJ9BJSFODO3LOQzHcD20t2y
oEfvXQ70c3PKof595aC98h2Zn1ke63l3eTwfUsrDfLTc8rB+DFcB2LqzAuhX
ryPrXyvAfLlqFWF+Yhdk29WK0J/VK2I9VHGF/Wnu5Ir6J7lCPtMnVzwvXCth
PQiVUP8EZEv5ylBPSrvKsD9sYzHORlaG/cafq4zr71MFz7fRVXD9rVXAL+k0
xq0ZVfB8GOHmEJw2v81pW9cYX1xD2PdtuGf1ygZbEt1gfyivkG3OVaG/eWVV
6C8fx7j2AuNM8WoOocTkI7uacHT/NUdWj1UDv/RnyFzR6tBeNBGuf6nB4AG+
VH8w4eObq7UN9Kf+PiFc6GjUB3aawXyhGg4h6dexyV6jqf5GhA9O6h37cw7V
H4hxbUEN0C8xHIxvbYCs9iO8+te7xt0aU/3zONR/iEN/67qjv32Q2XB36M/v
d4f1NmvuWA+za+J5thfZersm1L+aVxPqXZxRC88zuRY8H5WbtaC/LacW7C+2
Rm1oL+9A1q4hM1+RTVU9HMKrZjUqDthP67mzB8T1Kx6gj/vsAftDrFwH/LF0
RFZC6oBf/Mc6sN/MFesCyzyyNr4unscb6uL7RLl6+LxoS/h2+bCgfiOp/jGE
872/cuuRbW3qO/J/L7Oj6uP7ZgTh2ylujk+Dqd5T9eF9UX5TH8YzDW8AcWl1
A3gftZ5sAO1VG8b1Eg3h/dGyoiG8ryoJyLb0hqCPLeYJ/flmyJriCe9XzDNk
qUkjaG8dSJivmjLv0ibq3+NG4LdYsDHUo8WzMb6vDUC2WRrDeOZ/jfH9vX4T
GE/r2wTf3+c1AX9NB5uAXrWOCd7HddGEz+MwE9ZvtAn2oyUV42yvprD/+FlN
ob15T1N8n7jVFOv3W1N8Puxqhu9nN5rBeaFnN8PncfXmcB4p25tDe1tyc2jP
fkHm3bzw/czPC/IxV7zw/SzLC54nUqUWcB5bO7TA83diC8gvfmiB778VWuL7
TvuW4K9tXEs4b9iolrB+ctlWwJpvK6gPZkwrOL9M6zAuncE4N7I1sLgW2ZLU
Gr5HlNet8XtomDe0N6/yhnqWT2Bce+mN7xMl2oA/1uXIanwbaK8/bwP1xzn5
gJ9iUx/086gPfm889YF65Qv7QntzY2Q5yBfqx5TmC/UhFWgLbG2IrPZvC/31
+W3xfe0vslKvHb6vB7TD97W57bCeD7SDetQ82sP4jNge6tc0B1nah+2td5C5
njzsD3EmD/0tuwm7+ymuffvQ/ZjCw/uQLZfwqbZvG9UOofttmgDvQ/JOwgP5
uMmvFlD915GZbGRTtQ7QX7/aAd6fOB3jYpWODqHe+vY+V5dTvZ06wvsVe5lw
wI6Wmd2D6PvNp44wH7NrJ4jLQicYT5tA+OTYAUeEodTP98jW8n54PrTzw/fL
sX6wvlykH7wvKy6d8Xzz6Qz92dGdIT9vxbj5NDLj3QXymUZ0gf0jremC9ymJ
yOqrLvi8kLri+87KrqBHOd4V6tP2oiu8n7LFuwHLy5C1Y92g3pjn3aC+TEX9
cT+a/PH5ccQf9jv3xB/vJwp1h/aWRt1BrxLYHdaTf4RsZnqAHrlBD9Tfj3BU
4MN+QR2p/vk98PnxpwfWR92e+P7epyfMnwvvid8f+3vi+3vtXtCe7Y3Mz+4F
/c17e+H9ym1kU4/esP7SjN7wvmGVe+P7RQ6yJVTE58cOEe+rronwPsJ+FaE/
X7UPxLWtyMxVZNPnPvi8qxyA95sdkblLAfC+JH4MQP0V+6J+vi8832zj++L3
/TtkuVw/YK1tP3h+MWMxblrfD7832vTH741R/SEuRiBbTvXH5/PwATCeefUA
/L44iazZBsD+kIYG4vN5RSDsJzUhEJ/P6chcsSD8/lkahOeBEgT1yD5D5osM
xPe1JgPx++cIxk2PB+J9YMFg/F72DIb9oA4Ihv0rPgyG/Wf5Fwz7V6k/CNjW
dxA8L9h5g+B5I/8mnPZvXkbLffQ8qDPYIdTuduT1kB30POgzGOKmMMK3M1p+
XbSR6o/G9nqt/6A914vw09WN6rw4RvXPIuz2q9CEuCSqfw+ycotwQa7BT+dY
6uf0IRCXdxEuWbFCZvHbVO8NwidfhK1Z+5TqzSHcrcj+u05vqZ9Th0J7dftQ
iOvJQ6E/9wVZdJMcwuTjlw/cvk/93ILMXpFAH59FePq32imzL1D9lYYByx0I
Fyv60kvNon5eHAZ6pA8Yt1YYDqy2JxxnXzz/ccE/hv5xhPe8D11R7zf18y3G
lbIjgG2+yOwYZH4d4aVzhF/nGhislRlJ1q+pa3XOz2CmDeGi54cdXNXOYNNI
ZGktsjUJmWs1CvKJwwhXarNhyvCJBltWISsnCP93XTr5cj7V/5KwPGPgyoFL
DTYPGQ0sLyd8cOrADiNmU/3xo6E/k0643IHhqrbaYHXJGGivHx0D7bmnYyC/
WHisQ7B/2RzsF0n1NiY8o3mHTZH7qZ9xhO8e+Hnq/S3qZxrhKu/6tGykUr0F
xgHLDQn/2x657+Ypqrc/4WdLr/muSaZ+PhgH+ax/Ma7WG0/2n+o3ZvNHqj+A
cMwv+yPHV6p/LuElPiU7h/+jfv4ifLVGcJpTyb+Gnx4THELQlFL3k6sbzIrI
/Bxk8z7Cowv/3lHAw2Cm1kSHIMb2mbe3lcGmnsjSTMKTMs59mdzUYOvuiaBH
TSGsDvVMafaD+usfAvos00Kgv7IzBPLbriOz2YRrzfLduqKSwdq2SaCfSSa8
9kffywNFqlcnfK3M+H37B1O9VSaT89X1t+v7sQbrmwmf/FpB77fAYO4y4ddb
whLbhhksfiJcruPvlTeGU72uZoewKarR1Sb+VK9AuMGpD7+9G1I/VcJ7ii7e
96At9fO9GcaTy0+BfFo7ZGYc4VVbW/QsNpn6mUm4zakij8ctM1h1mQqs+yBz
owkPzY34fOYY1W8l/KrF19dHo6mfpUNhfqw34ek3p3rWnk71jwiFfOY12F5O
RDa1nOYQmqaWnBK+hupdOQ31Hp8GevQXhJ0Clrucu0z9/G86WV+fSTlJN6if
ywgfWWfTz5+jeo8RvnB3n1PMQ6r3OWFVtf9dmEn1Fp0BcW0x4Zi8rj67nlE/
j86A/KYnhN2e1Jy2fxeth0IzQZ+1EeGktYudE2Opn4cJf1pz3Xo+kfr5aCbk
tzCzQI/SgPDx1JbZ/2VT/f0IX7xRZ/2UT9TP+xiX/2B/re5siDMBhI/MOVGr
6w+qP5zw9P28h+kf9fcn4bqjpv2oUOSf4W/tOQ7hSYEPu3+UMJjrPQfai7Pn
QD7L3jkwH7ZmGMT5HmGofwbGZRnj2k1kqVs4tLeGhqP+HeHQXr8WDvPnvhL2
LtSWe8Ya81HMcx3C3N2HfnxrbrBtKzJ7lXCZ665zb3gbzH9GNlee5xD+Hlxt
Th5gsOkS4fGNB2e5jDVY+kg4r3Z424hQg60V5wOrPOHAjNutp6w0WLxA2KOV
z87aVoMt7wgfkdQf6fup3nIWh/D+wknfmeeo3raEC83OTnR/SfWOJZw35Ean
ibkGyw6Ma+wChyDta7/y+WeDGR/CAXVruPz8SfWPWgDtpQjC6sJuF/X7tB5K
LYQ415rwxweN/RIzqP7hhDfq9W3+76n+1YQfV6yZl1KE4f+n/yQy32IRjG8e
Srh2gU5fnQoZcXkF4XMtvGr3cTZYSyBct1eEU0Qxg5kXyNbBiyGfuhRZVxZD
fu4Z4XpHknqWLW2wWGSJQ7g09feNdeUMti1aAnH2COEb7y8vvsdS/Y8xbi64
FFj2JByQ2v17B8ZgU+xS8F96uBT8tP5bCn6r9ZfB+ut9Ca+c3iqq0mXq7z1k
5TfhXpd2b24cT+ujznLIx/ZZDvXBhy0Hf7QfGGdqr4D1NfVaAfOTZq0AP6x7
VsB6ce4rgcXuK8EPy/SV0F/ZRTgnqF8Z3p36f4NwlVeraq5uSv3tusohVKj2
m3P3pP5OJbzxkm9YdktaH9sJtyp1rCPvRf3+gnF18mqHMMXlT5NAX4P1LYT5
fhO+jepE9V4h7N3ddtm1N9WbRTh7Z/OL5bpQvZXWkO9Ht/TfF/vQethEuOOt
9s45o2k9XCSc0GZIvVlTqN4PhOnfy6R6K6x1CL1P1HvQaiLV255w2y7rJj6e
RP08T3jx49ElT8ygfr5dC/nUshGk3hupi7PCqH7fCOjPjSHcY1LkkI3jqJ/2
CJiPrYzVIYTcr/DEaSjV38YKcX4k4eGly984PIzqX0u49ZZtT8SR1M9W6yC/
NIzwGVeumOs0qnfVOtCvniC87dvnHyvmUf+GrHcIg2OadApcSvUtR7bFr4f5
senr0b9BkZBPWxIJfjIKYd8ne/er3ajep4SHl3kTMKEf1Vs4yiGE5y1PLhdI
/VsYBXEuLgr8FtOiYD6WAhsgrjTcAPr4mA2g3/xgA+iV/xK+Wyom8PNyqr/e
RqL/dJWB5xdR/X0Je1Wc0KlLJPXzLuFbk3Y1E6Kpn78Ix0wvVrFcItXvsckh
BL8pleWdTPWLhEddm7/r3HWqfw7h0YnOU09cpv5+J3zZalvKp1B/a212CP2n
MO/PP6f6exJOj7V/OOyg+mcSNs99eGitTvXvJry/yaXvc3Kpv9wWh1D4VpF7
jQoXMPz1J1zMs96aswUMtk7bAu3VnYRLebdrViSb6r9O+FvtmX12faB+TtlK
ntf2Td06PaR6txHOCmWHumZRvcmE06uMaTDX2cjP64TZFp+fXi1rsDZpm0Pw
TMkTRv6kfm4h/Cvs8Z/PeVTv5W0wvvSJ8KSRv9Y3y6B+u26H9txGwpEzWgXt
LGrkF1XClwb0dRrIGmx5Tzi1Vo+ZH0oZrJTfAfps7QiXzT2y79Jt6uc5wi9W
FO18OY36mUl4cNk1S67co/XgshPWg/HdCf6YRhO+Vn+dpc476mfGTtCnl95F
3l+LNFjh/4/q994F6yGOwLhlzS5YP7ak7Pj/v6dL/W0pg79mSYb5yStlmL92
XMZ6aL6brP+9tkVeNKD18B/h0PqDxpZoZrC6jPDR115/9zeh+o9hXAneA/lt
i/fA+OzRPVAf/JM9sJ7mQnthvZmFe0Gf6fBe8E96tBfqx8rsA7/UBsjioX2Q
z3J/H9bDn31YD3Wjib+P131tWoHqDyD8V/cp+Kw69VND1n4SftTD5dGUqgYz
HvshbupN2O+/jVfTftN6nr0f91feftjPXM0D5H1+W9D0xFdUf48DMF/LDGRF
PgDz4WscdAgZu+Mbxdai9dCN8L+I3ukdGlH9ocjaDmzPXD8I623tfIh833lc
eqC3pfVgRta3Eu4fe7+Rqa/B3FXCTnpoX/cetJ4/Y5zdHOMQtD19/vXmqd5L
hL2GNaka4kX1fiQ8Iv1XrtWH6q0YC3HThlioP+kC4V6PbN3GdaF63xEO6d6g
x6tAqrfcYdCjtz0M7S1nCaffnuFd0o/Wg4NwuEuFGUc60Hpg44BZnzhoz4+K
Az+0N3Ggnyl9BPW3PgL+SsOP4P5bTXimR/UqqS2pn85HIZ/YAtky9CjuxxWE
7yuRw03eVH/CUfDb3ExxCGsbTO4Z3ov6OxhZW6qAX6ZnCtSzOvAYnDf6IsIL
7+6e1tGd6j1CeOO7ddNn1aN6Hx+D/WUpGA/nM7sgHs4DPjYezlfzw3jYH/K/
eDgvtfoJ8PySDibg8+JeAjyv1N+EHc3G/eio0f1X5zjsN67PcTi/lVTCXP1F
631e0ufdj+Nw3rO1T8DziO9FePOXw712uFK/Z52A9WDyTsB6mdxPQn1I3U/C
+lunY1zdhSxWT4T8lq6ECx5Lb1S2Dq2HqYlQb7btibD/2WuJuN/8kqC+tclJ
sF+YrYQDUs4euNqN6r+SBPtNykrC/TbxFOTjNp3C8+HiKdyPH07B/JQKp2E+
5vOnYT7y29PQXit7Btozbc9A3HrmDOhX7ch6mbMwH64N4er94mIjBlO9Iwlv
mtcut9Fk6udrwqv8h2dPnEX9LHXOIXxJ8bt5J5SeD63OQXvzMGR5FeElLycV
OzOH+lnivENoGTmpRf/51E+v8xC3DkFWlyPr8YTT1AOhxeZSP5tecAgmr9dL
Wi2lfg4ivM31c1a5NVT/EsJMsdbh/7ZT/Qrh99eG+c3YTPU/JTzjyvubJY5S
f4NUsv+fXu22LIH6u4jwmJEbklfFUP1xKuST0lTIZy1w0SEIt2f36X6Q+msh
XHqG0+YrJ6i/MciWB4Svlsvp2/Y01f+XcGCZqM7SVaq/3iXyfRpUoJ92g/p7
gHByzLlJTreov3cJ3wvbcvGTSvX/QmbqXIbxTCKyeucyzF//Tnho2IR1Ceep
/lpXgMWeV0CfZSbhhF5efetepv5+I5wUwW7ffI36y111CANH3PL1e0L1+xNu
cOdg5KM8qn8a4d7PPQs2/E317yQc2flG+q3CBQ1/qyU7hGO1O3eOLmiwtQvh
r4JzlbmMweoUjOvbCF8t6d3tiIvBXDLhZzkDeddKBiudrgHbJhFmSnxY07yh
wewWZP4yYdvk1JYV6xts/kT4xZjj/33xNpiZeN0h+Md39f4eYLBpI2G3Jif9
D/lT/SqyWv6GQ3g3rOqju70MFiMJfxkR9fBcD4Mt5wjfYnfKNdtRvZmEX+ol
3qW1onpdbgKzvjdBr3ya8PlIn/g+HQzWMm5CPqZMCrQ3eRMeFzH28d1yVO8I
ZP0V4ay4DFt2UepnyVvgn9iS8I2Uou23cVS/dAv1r7wF8+eL3wY2Nyfsm7uh
h12kepcRVidZrjUaSPXGEy594eSyIUPp+pvukO/Nb09Se/1H/Qy+A35wRwmr
i7ZETGxC9T0hPDntUdS8ztS/wFRgdiHhR7lh20v0p/oOp8J6mB8RDks8kxgy
jPrLaA6h1qDpbpvHUP/mE665537j6HHUv0OE5yQ8auU8j+q9T3h/6tZxlRdS
vX8IT2hafa3HUupv3bvke7lNcCE+ivq3n7B/J8cVYSP1TyM8IMIlueNOqv8n
4ZJ+da4Je6h+j3vkfSDmltp2PdXfm3CPGgvXl7VQP28TXnfyTMKLUOrnd8IV
+584c2wC1V/zvkM47Hf228/ZVH+P+5DPOuM+6OFykcUaD0CfpRvhWfNKPW+w
nOoPJXyqS+iBJiup/h2EmTa/r3bcSv2t+tAhTD/9+3cbK/W3M2H69y6ofjPh
sXHHuSonqf5thFtwxx7sSKX6rxL+Frqm16vL1M+QRw7B5y13aPpDqnczYbeV
m5Mu3qB6LxEed7/EH494qvcj4TfBzWeWS6J+Tkgj3y/rK/qeTKF+biB8x2/A
0kX3qd4LhIP7OF6+v0j1viPckfHKaHKE6i33mLz/vGv3oFUM9XM94RNjRvfk
jlM/zxLuW3Jkk4YKrQcH4YCgmNO3rlH97BOYD+dDuHbEy4AxadTPU4R3v8qq
ff499fMN4dAebyMrvaL6Sz8Ff/jWhLPWHy3G76P6hz+F8ZlXT0GfyfkZmX/V
wUU7ylR/i2ewHtahz6Be1RXPsB6KPSf7cZKvm9dh6m+z5+CHMpjwpXu/S/sc
pPqXPof9IjdJh/2vDUyH/c8sJux+wbtFVFeq90g6nHfS43TY3/qAF+R5bJ8x
o2og9XPBC9i/YuwLOE8sD7G98u8FnCf8vJdw3pgPvoTzS773Es4L7fdL1F/X
BueFNZrw1m4vI9oNon6mEu6tNtv3djrV/4MwX696uwdTqP7ar2D/ir1eQX/b
LYyzea9gv/Hur2F9zN1fQ33I0wkvqv0iN/sC9TeHcNHMmvXvvqX+Vn/jED5X
LX9qYxbV35WwcxvJL+Y21T+V8Ejm9qKgJ1T/dsKnrD9v5WZQf90yyP4s0aHs
yQKFDH/9CFfwL1AzKIfqn0y4hf1v5R2FjDi7lXD92NV3xjkZzF8h7OLxss9C
nfrbwU7eD4sMqOr5nfobYof2pk12GE+6SLhy6qaNd/5R/R8Ir24z4cjKikZc
jHI4hIaLW9U8WN5gy3lk5S3hxwHNjr9iDbaVzXQIQ3rPjNPcDTavI/wwb9gU
trrB8hnCbyJe1VRqGazZCdO/j2Mww751CKlxCdf0GlRvG8Ijpt2Kd2pjsJpE
uFHOs8kTBYP114Sb7hZTZvQwmCv1ziGkjIrq8q0P1d+K8JX2Y08Wn0z1DyPs
36XQtJsLqZ82wjlxUy8xC6ifJd5D3OxFeOSJgp4T51L9Qwi7bgz5enwV1b8c
WXL64BAWhyZ5DRlusLXpB8inDiKcEuSImTKN6l9C+Mfx5BIhE6h+5cP/fq99
6dluBvW38UfyPGn7ZHKamfobRHiaR7l2n1ZQ/YsI9x/W8PnPA1R/HOFTqzq4
jlGpnwM+kfmXSFoSFk/9tBBOu/RuY9MzVG8MYcvTZqeb7KJ6HxDu/a/hw99H
qN6/hEse29i9zXHq59wsh9C5Tf33vnHUzwOEL9wvp3w/QfXezYLxbb8wztb5
DOPJ+5C1O4SfMh0e9r1G9f8gvHebS8sXl6n+WrpDiM+u/u3aTaq/pw7t9RTC
BxtvmLngFvXzG+HSCRWa8k+pfu6LQ1hYuVtCha9Uvz/h4vt8E5f9pPqnEZ4w
3XJm6zvqZzbhVwufNGM+0Xqo9pWcDwWEkfFZVH8XwhaXxk/1goUN/VO+Qn5m
O+F2xQtdir1L/a2S7RDm7rx/tuIr6m+nbNCrTyKs+Y2uUPoG1b8FWbxM2DVd
PP1Vpv4KObCe7MQcGI/fmAN6zSrhPanFro+4T/W/J/yaeZp07xH1d1wu9Jci
c8Fv6znC1sAh/2WnUv2ZhIPi4h/VvET1u3xzCB7pAxNOJlI/TxM+WbxPdM8P
VG/GN9DDlslzCNnWmJ9186heb8KlZ7W6m5xN6yExD9aHeU2YW7fuYNQ/qrfk
d4ew/ue4e80dVG/L7zAfq/QdxuNefgc9YvEf5PulZO7TgArG+lmaE/Z4H7yh
L2uw8h/he1/HFepdxWDbMsINqrqxcjWDzUV/kvepFg+UDA+DZRPhj4Munchz
o/UQTPizR4GZB0sbzCwh/HJ0tOW7k8Gmo4QrB3/6Hl3JYLXRL4dwt2r9vyvr
GqwHEp4ZGMluqmkwt5Bw4cnmsH4tDRYPE+4lNu7o60P1PyK8fVzqw4J+BrP9
f5N6a3SiojbAYH4+4U9R/rFlhlP9hwgP2O0TPkik+u8ja38Ix3zN2mrpbrAU
/gfYup+wW0p988a+VL+Gcf0n4aS/jVsf86L6Pf6CX8revzAf2+2/oJf9TjjW
Kd27Rk+qv+Y/8r5a9+YdrjHV34Pwhe5Dz33mqL8phNd9vv/pzCFaH7mEE8bK
kTNzaX3UYDLz14+1G+ELFQbNSHlN6zmUcL79K34lnM9/S9UCmfnXR+lMeH7I
58hHDah+M+F882O3Ec5XT3LlgplC0LCKe7sXpf52JHx70azC0cWp/kmE89Wn
aTPh/PovEc533uh8oUzhcWRYjqk+9XcCYd+cuht/V6T1sYHwzr2by3atQfVf
IJyvXpR3hJc3XPH9okD9HVsY9JvXE84bffB5mCfVf5ZwvvVkXIpkCgXKFrk+
vx2thwjC8vP62c9H03o4hay/IWx5tL3gjlCqt3TRTOFdn5pD0iZRva0J91nd
tGHhJdTPk4QDXWw3asylfr4iHBrtog2dRfU6O2UKVt/6S9qHUL0tCOev56GE
i7z+XONHH7rfXhDOV/9SsWKZwq/BxcrOGEv1NysG+dTBhGdd6BYyMYjqX0o4
3/6yFCmemb/elSaEK3o+OjquKdU/sDisD3+EcL761TxLZOavbyawBIxvWkD4
1/G6z2/MoPoeEg7RIkNzZ1P/+jlnCiNfn6ladCr1bx7hfPvHcpDwrW4fFp/r
RfXdI5x/v/12hv1gDiuZ+f9/H4/6F10S9GuphEckZ43Na0X1/iwJ8zHVLgX1
pN8i/ONmovu+QVRvXimYr+heGvJZupeGfOzN0uAnn0NY6/JB6tCVrnf1Mpn5
zx+5K+GeVsvCjqOo3qllYHzpC+EazUrYulqon25sprC5mlOKbTVdbz/Cx9Jm
j5y6luqfTDjZu95Aj0iqfyvhBMuOpK77qJ+VXDKFa3d+DTuzh/rZgfDuKY+m
ro+j+kP+Fw/qv+egQvVvImxLaP9l4hmq/yLhpF9lj3Y5Qf0bXzZTKKr4Lsk9
S/VGEV5d6tJG9TbVe57w3+Kz5625SPW+JZyecGbtiZvUzzHlyPmRnfewZvL/
UXXmcTH93x8fa/bGWraM7PvQIoXmUkSpEULEqBBZJkuR0pAiqSaKNjWIbDGJ
ZMvYSlGGFiSaKM1IjKKQ+J1P5/t4/O758/m4t3tf9/U+7/N+3/f7zA39jOxJ
rie/BRyYu9FgxSvUWwW8pdiwg7ga9XJ7VTOHHWdUfq1BP8OBHVr+nx/6mQkc
lTNRp4DTrqX9PwDP7+TmIvqF+rv2rmYWvBxvJv6E+icDF9rGPjfu0HK+9hqw
qPXYhw/btDBPBfyn62PvBf1bWNipD+TH6tAbmlEtLDEGrqruVmI1voXlK4Bj
13m3yZzQwoK3wEkGsW45s1pYrKNXzXRM6XX6y7wWlk0EXjhl0PoFS1tYuQxY
d18of70I9QcDq53t3iza0cLStvrQX2pL+Qu9WlgxHrju5yLXz/6ofwmweadc
d8NtqD+Qni9MBa40SS286tnCqjF9If8OWuFetKqFuU7AzJzSjgM3on4JcPPc
zPjBu1D/eeDsZ3EuWYdRfxFw92Pdjs2IaWH+gn7VzMsBZc/3yFpY5A+cFNH6
Skw46k8BzgkunJAhQf3PgU+VzcsZFIV++vYn15MnAxvJaq46p6DeAuD4cwsm
zryCen8BW+3ca+WWgHqHDKhmngz9HZV5Fv08AbxSnv1WdQL9fAo81r5r7J/T
qLeBsog3sJpJnurT9VQs6p0L/FY9zmN+APqZC+wxZkl5ljP6WQ/cbXRZt1ML
UP9AAxgvXNde9V2L+mcDN04b8n5WMOr3Ata/Yt/uwXH0U0tZ1m8Q5L9ZnQp/
R6B+K+CdeZt6fNiH+jcPIvHAjwUeZmj/uGsI+qnHI6xlgKc8rPtQcRT1b+CR
9hMeBZ77qtt3STTqVwDnu3TKLAxFfy0Hk/sL1gH/Num+7fx+1H9kMPFfdmcw
aT9l9WDSvlKpIYknxU1DEp/aSnqcpzsE7r9x0vGv3uhnGHBJG1OD/X7o5/Uh
JJ6474GrvK5zgjah3i5DafyaDiX6ONeAp7e6FWKYhH6WDyXtL+o4jMavEbBX
rXPm582o3wXYKHbe+ltb0M+yYaS/S9oPh/HQTl4tsUP9/OFEn8oZuGnKuCXT
3VB/ELBr/z0dol3QzzYjyHHluBGk/TlLRpD24e8dQfwQXRxB4k87eiTkm9Oq
jOWR6O8iysIA4G6Zc5nEZNR/DniQzbwpfc6jn46jqpnICzdVadfRTz/ghm7l
3gcvo94zwOnxm9s8v4t6lcDHdS4pxl1CvU3AF01ufvsoRz93jib9VXEK2KLm
8877t1Bv/mjS33k/gY9unvt+wB3UaziGsEo2hujjPhlD88OPMeR+4kFjSf+W
zRlL4o3/eCyJH1EdcGFW4u1/K1D/gHGQT6u/3dnlhPpnjSPxoRWPo/nhK/D+
TU3DTW0wHvqOh/EuL4Nf0ozj3czxZDzibgJ+K7bOjdJF/TH/HZ+bN9u7N/rb
Z0I1E3R/u8fN9ugvM4GMb3xP4IyKFS9Gdkb90RPI/aR3gc9bfQ/8WoXzh+n8
amZ5/fMDc1qjvx7A5RWhy8cORv2HgVNuveyTNwD13+aT66s+AvfLd8mp+Ybz
h9UTq5myTRMtHf/heB1BWXljIhnfOZXA4Xllh4qPof5uk8h8W3EImPW+q82Y
ROZrvArg6q7/Uirm4Hyjs1E1Yywy4b+bivMNEyPy/iB4Z0Tmq+IOxtWMpYmf
1XYR6p1kTOZ/yuXAHQOrnVM8cf7wBlj89VnrwAT0s50JmV8pJgBPGeHbJuEh
6l1qQudr+0zI88pbmxJWjTUl1+cuBt5wbnKaxzvUvwc4fdBpdfuLqP+CKbk/
Z/RkmM8cre9eeQP9XDiZzM9Eu4EN71hcbiNF/WeBl4/5JO7gjPpfAE+/+PC9
fSj6Od+MzPclu4D36GccM9qO+k+bkb9XPQNem7030nUm6v9tRvyT7ZhC/l55
kjInHzh806r6sj2ov3EKmW+KBpvD+7FP1sna9+hvEvDQiz+mbNSiv3nmpH8I
v5uT+JcYWFQzB8XG6092wXi2Af6i+mn0oRH9zbEg8Sr+BrysUfpgdQPq7z+V
zj+tp5L5I0cMPHzgpDSXMZgvvgCnnf6cEWuJ+UJ/WjVjeym6tY0F5osZwOof
RoOXO2C+2ziNzOeEx4B3tM0pvbUT+1vv6XT+JgDeupfjZOqI+WL9dHJ9cRSw
0aHcvntNMN9lTSfjE3+aJZmPitZakvmMNBJYb35/Sfc1qP+WJR2/q4AP+C6/
0W8v5gt3AZl/ycMFZH6oygSWL49ItTyFersyZL6nDGVIPuZkMOT5+SqG5FtR
pxnVzMeBzlerF6Ne4xl0/pY+g8xfhG9nkOtLdGZCezu48UK2o96JM4kfqmUz
ST4XlwLXRKZFHZ+Efra1In4qxwO/iX0WrLsI9S+1ovO3QCsyf1e0sibzDe0Y
a6KX52RNxmehxJr4xR01i8xnBQtmkfFU7A+8pN3KMKcM1Jsyi4zPIuFswlJf
4L1ep5dGZKO+ZOCVfv/mGX1DfQXAG64rht1oQn2/gNMiZvfL79C+xT8fG8hH
3TKb9H+hfyeAHd3nBKaUoN6nwJv0KmwFuai3wYbMx8S8OZCfbqU4aZ+gX7nA
1qdmZM57jnrrgTePq5Mkv0C9A+eS8V8xey4Z74XZc8l8RqIFntrc/d/vq9je
/WzJfFxlZUvmK9zNtmS+IasF3lzd45nyIra3nh2Jb84MO+I3f4MdmY+IjtqR
+be21zwyP+dZziPxKVw3j8zvJEfmkfaX35lH5v/iNfZkPiuT2pP5ovIm8Pdo
ZnabeNRbZU/eP6RuDtVM8JslAW8foJ9hwG3Ta0vW3kS91x3I/XnvHUh/F3YR
0v5+UEjal3tNSN5PBOVC+n7UcT712wi4MWh2cPJ79PMKZVEZsP35+NuOb1F/
e8dqZrDeOm5JPernA08+8y4n5R/qdwYenztA3aEZ/XwNvMx2htnE9hi/bRaQ
+FaNA34ys/rI40bUvwT4ldmXNuruLecL9gJnFjuMXfcb/eUsJNfnjAEOubW5
nU0+6l+0kMSvKABYvaooJuYT6j+3kDwPb+Qiol/oCNwlcYi+XRXq9wM+8qDn
2uaXGA9ngHOOFHVf8Br9dHAi+mU7gScdevK4rhr1ngI+pOe9dclf1FsAXHwn
4oSrfsvz8X8C98u7dSO1bwsrvBdXMyNP+1TvNGthrQzYptml7jm/hXlPgJ3O
HOxuyGth4Q9g9+Olhw9OaGHJoCXVzC5Lt1/ps1uYmwg80bDit78t+vkY2GX5
sJADwhYW1wEf+tHT4sXqFpYNWArts9adv2FHCytnAT//l3XOwaOFRY+A25y2
0u/t0sLSr8Cf6m44PtiM+vs6VzMzMx0E17eh/pnAITl/vkXvRv2bgJeaJ1+Y
tgXj4TPwF4PGO4eSWljVZxnksx1dsp39UT8DrKhZGORxAPV7Ao8uMbpXvx31
RwNHrrvwuUHawpxey8n5/OnAS88N+9T1GOr3AA5XfS1PjEL9h5eT+ytuA+eE
7Sv74Iv+WrhUM2cOZB3jeKG/q12IX/II4M+do9YN8kP9N1zI33Mrgbekm3Tn
+6C/riuqmcXX5Zt6LEF/DwG3P2QS284C9V8HDg/c6L5gKeqvAP465fffGeNR
f+eVEK/Zs/Y22qCfVykL3wGf1enzynwu6u0gqmZMfJ4ldVmAeicBJ1xnHJ+u
Rz/TgA2zJJmd96Cfb0RUb7tV0J8sfMN9t6LeCcDO+o/aLXRDvc7ApXdsphxx
Rz9fAZ+fvr8saBP62dqVXE87Fjjw5ke7eWGofzHwad3bfiXRqH+PK2kv1T96
Pne0G7meYCGw5Ubn5Z02oP7dwPUmF1La2KP+s24k3vkj3KF/LLMTRK9EP+e7
E73SXcDDx2Q13tyH+k8D67Zr0JtwGPU/A25+c7JPehz6uWM1Oa46uZrEHzcf
2LvTsTuSQNTbuJo8j3L7GpiPRqlt3hxEP2XAptVba5UBqDdvDbme6Dsw/v95
1GuwlujhHQd2a1fo2usQ+pmzlvRPybe1NH77e1QzrWyqRkQ5o35r4PfWeRNn
OaCfD4GPjM38pLBDP78AWw5KmvXcCfXrr4P3ha8jP0csQv0zgacMfKgwmoz6
NwL3X/dA4zkY/awBPtWx6tA1Q/Sz93qS/3gC4GM7JD/et0X964HbvVh5Lp6L
+qPWk/GA29MTxsdtI/yi2qC/04BPSJ+MranB/LzWk+R3WaQnmW8pbwHn2bzW
d9BFf803wPP1nOPYuhv66w78ev5rndIRqD98A9GrzdxAxivehw0kP8tXbST9
WxUKvG6X3ppaE4yPDOAliTNK705B/SpgefKotq8M0P9Om6qZO8JHhh6d0d8Q
4CGbVnv+/IDjXTpwojTodvMbHO/eAi//13Qx4guOdzqbq5mA1CjfpAIcrycC
txN7VDVw0M/SzWQ8l7cVQ3s6/83bV4fj83jK3KVi4p/spZjcT9nKC94Xrtly
mwpxvBsLfLBjaIjpI9Tr5EXmOyKJF5mPaP96kfUv3qgtZH4lXAB8UfSubUAg
js/+W8j7mjxlC31fG76VsFgIHP8gI3znDNTvu5W8PyqTt5L3E86zreT9RDpv
G1lvVPhsI+tV2hPbyPsT7+k2cj1hwzay3q3atp0c5yYB3y2+9lPXGPXnAutz
3zr87Yn667eT9SvZQG+yv8NPAPZaPM5Kq8b3+Wxv8n4t1XqT9SVFP59qxi41
5c3SP/i+b+VD3q8lD4ATazdsERigv7XABR7vvl/qiPr1dpD3Ne6MHeR9T7Bh
B3nfUn7aQd43Ob13kv0RviVl0bqdxE/pkZ10P6aHL33/nOpL3z/X+JL1ZLnU
l+7X3ASuX3h1gWkY+jtlF1lfl7ntIvGoDNtF9z8yKfPf7yLzb4XID/5+zdd3
4oMYHwf9yPPxrvmR931JR3+ij3vAn7x/C674k/0scZk/WT+Qtd8N7yuv+/ca
vRz18neT9hBd3k3iTfoamJkrKsmcinrbBJD4044LIO3LWxJA9+dKAsh6pooj
qWaiXww9XNYX9Y8BDht293dtH9S/SELiTxwgofuLf4EbS7hd1N8xnkfuIcdF
jnvIepDUDzg1cHbNCUNs/2F7oX/pXpV27Y5+OgCPOisLyRiEencCVwxf9I8z
AvWeAg7cMnf39pGot2AvXX+wCyTrXUrvQNLfOCeAx4QEX99UiXqfBJL+IfoB
3PS+7c96U/Rz6z5oX4/PJnpD0c/EfcQv4WPg05oij9X6qL8O2DFx0ernY1H/
gKBq5vrvgCOrzdC/R0HkeWRfg8jzKvsGEz0cK8rS+8HkeRSfg8l6oLbPfmiv
5T92fizD9T9mP1kvFXoCzwz1OHEnHdcnNfvJejm31wGyfiiYfoD4JfY4QPKV
7DBwX897F6yfoZ/dQ8h6r8gihByXrgbu7mmcNe4E6o8A9pl+P9f6KOq/EUL2
/yVmB2G+Gq3xu7ob11ddD9L14UPAr8OPXLgdgvqvA+/uWJB9cBfqrzhI1l85
B0NpvclV4LSe+Zy4Kaj3XSipx5F2OETqLXj7gXvP10nqaoR+ph0i6+2SN4fI
+q68XRhh1YQwUi8jvgRsdqfm7jk39PNVGKkHUbYOJ/UUnHHhpD6GvzicrlcX
h9N6mH/hpN6DNzqC7CcIF0aQ9pbsBn5VLLHeUIF+NkeQ+BKMkJL9EfF8KRmP
ZLukZPxRnpaS/RLR0EiyfyO1jyTrz4odkSQ/aE9S5uVHkv4utz0M+X+zbpez
7pgftgNz9W6dTZ6D+UEGvCslb+2o6ZjP8g7TeoTvh0k+5Ww9QuYb/ONHSH4W
5Rwh+5PSb0fIfEXRP4rs/wjjosj6ueRhFHke+Zcokm9V+tEkX8vuAYe4hutp
ZqKfNdFkfOD0OUrGW77gKJmviNYD39R796Ajg36qj5L5D6/nMaJfOO0YyV+S
tcdIvYc88hjxS8CNgfaVDFueK0Q/zYF/RX5V97BF/e4x5P7K8Biyns65EUPr
OybHkvVBxapYsn6mDY2l64MZsWQ/W6iKJevvqhVxZP+SGxJH9s8F6XFkvVn8
No7MP2Q68WT+KJLHk/mBtDSe6m2bAO/b4XdNktJR73jguE9mv7rcQD9TE+h+
wEvKqlbHyfosd+xxsn4pcDpO5tPKouNED+cfPZ8/KpGsb4oWJJL5l9Q/kcxH
eH8SyfMKhyeR+YdEmETiX+6bRNpblZxE+9cQGYkv2TwZ3R/wkZH+xjkpI/HO
fwpssfLI1EPD0N+5J+j+UNIJMl4Lc0+QeJPUnyDzMe6Wk3R+lnCStLc4m7JM
e5LEq7LfKTrfjT1F/JM+OEXqFRS1wF5f+q6wW4/xoJdM5ru8Gckkv8gVydTP
T8mkv3J7nyZ+CSxPk78XrztN/OWoT5N6K36PM9XMw4Gdzn3wQP1Tz9D+t+YM
iQ+F9AxZjxbqppD9AMmUFLLfIHejx1VhKWQ/hZuZQvZjZKZnyfunUgT8OenW
1+oc1B9KmX+Nni8qp8e1LufI/gjvwDmyHiy8Aqyn+z0w5R3qLztHridvf76a
uf1+VEbDM/Q3CPjq68TAs6Xo72V6XPb6PNm/Uba5QPZ3OOMvkPspSoCfPoo6
lPQR9XIukvd53piL5P1cuOgi3T8qvEjWL7h/gcfv9VE+6Y3rESNTyfq92DGV
rL/L/Cjzm4DfHT/R4085+jnsEsxX17qumV+M8eBwieQvxc5LZD9He+oSWS+Q
GF4m9S9yu8ukfVTel0l7cE9cJnoETy6T9QvlHDldT9kmJ+vz/ETgdwkvDkyr
Rf2P5eTvpXVy8jw8rzQaD/FppL0kj9KIXvlX4GrPXye2XkD9fa+Q9Q9xzBVy
vuz+FVKvo/x8hexHcvTSqxlV7orbo++hfiadxI/ibjqNZ0060cvrdZX4K5x+
lfQ/icdV8rzcamBN4vFF17pgfHS/RuJFbAGcErou4Wc/XC9cfY2srykjrhG/
Rd0yyPWkZpQVrhnk+tpDwHYJHnqSXrjedj2D7i+ZXCf7MaqV18n6IPfgdar/
6nUSD+J318n6GMclk6x38fdnkv4jSssk+0mKdjfI/pFw3w0ST5JLwFdHOMdW
fMV4eHWD6m19k/Qf7ribZP9KduEm0acsvknWGzmcW2T9kj/6FunfooW3yHqs
9gXw+aLgk4aj0M/mW2S/QTjidjVzYeyql2eMcb1w/m3SHvJdt8l6reD3bbK+
KR56h+xPyeyBjfWLFujpof4dd8j6KufUHbIeqrDNIvtN2u1ZZP2fJ8si+0vC
vCyyX8PdepfstwiOA883N+3cfS3qywG2an4d0U+A+r4B71lYPiV9DPonVpD1
bFGcguzHSR/S44ovCuKfVv8e8Vd+D7i3Q6jdSgbXg2vuketx+9yvZtoelfYS
GaFeAXCMYp1Z5HD0KwtYqhENtZ2Kfmnuk/0Ofs8HZD1eNO0B2a+Rrn1A1vt5
H4FfyWytF61A/7gP6X6B+UOyPyJ3f0j8V4U/JPtD4q6PyP6FbPIjsr+kXAVs
/FD/34kQ1H+IMj/jEdnvUBhnVzO2VzpN9otFP1cAS5wfRmZFoP6QbLJfI0zP
JveXvAU2Gjtpway96GdwDtnfFMtzSHzISnOIf8q2j2G+NW/ZNPEs9DPwMdkP
laY+JvudipfAn/fulPVyRb2tcsl+E29sLvFXfj6X+lmUS/YTuf9yyX6PYFQe
jC9vnkW3Pov6F+TR/c8XeWR/hv+Hsmj4ExJPUuET0l8Vvk/I/oPwFz0uGfKU
5Hf5vKd0v8DnKalv4J58SvbDZbx8km+Vc/NJfuBszyf7K/ykfHI/UW4+3R+f
XQD5b9wIY5th6O8W4Md/5huM+IH5N6GA7BdJsgtof9QWkPFJsPkZyUfiWOC/
HsfHqGdifDx4RvqrshZ4/c2TScXT0c+jSrLfrlAA87c5dSwWod5PwOtbPzM4
uxP19n5OWGgJvPvKnT7h6zAe7jwn+5tc9XPSnwU9XpB4F099Qfa3ZWuA/64U
GRddRD+r/ju+Rnjlvgz91C2E+1km1J5MQ/1TCsl+osIN+LbDJJ3gcNQfBuyZ
n+Pz8wTGQ5ciwnJT4IZ+a2x4x1G/iB7nhgL3CkjYt1mO+q8BX0ie4+2WjH4a
FcP74plvs09cx3hYASyfkxPzNAv1HwCOe+/pyVOj/ivA2dmLQxtqUX8ZcMW1
Pb2O/kJ/l5XA+P3B69zdjjot/gYBS69XvxjaroUll4F7J4/PTaxD/a+BK93m
b3hcj/rbvIT5wmt15y0f0M+LwDfK30TbalBvCXDz4eJFa8tQb6tX1czc1fOP
5Fah3jHAtgFPivpWoJ/ngIXj7q09UYN+Fr4i9+P9BZ7TbdWZ8lcYDyNfw3jY
49O4Tc/Qb0fg3foXbs1/jH4+B65PL3u98j762QRc7nnz2uAcjIdhpZB/DLod
L8xE/Q6lpH2UO4GnV3XP0cSjnz9LyX681PANOV9h94a0p9YbOL7Tyh6yC6j/
BHAviWe38afQz0FlJD+p5pSR/XLuNuCjzuFvxu9H/Yn0fPHjMhLPnNlvSfzy
vYAPPUiNc0pEvY/eEv2Kr29pPcemd2S+IIl5R8Yv+X3gRaP1TGw2ot7P78j4
wtUrJ/vrsuhy0v+Ud8tJf+F8oszvpSLPL5quIuOd9raKjLe8ahXZjxd2ryB6
JRYV5O/lqyuIPkFlBRkvxd3ek/FUZvaetL/SFbjGWXw55jTqD3tP8oG08wda
H2HygdZHrPxA6nN4Bz8QvcKrH8h8QDWpktRHcF0qyfUF+ytJe4nTKsl4LntT
SdqL71xF2lu0r4qMt9JLVWS8VbyqInq1rT/S+cOejyQ/yy98pPm5GNj13ogb
RctQP6ea1F8JRleT+hxOYTWpx+E3A5d4PU3Nm496R6jJ/E86H/j03+iRxj3R
T6WazJ/FjRpSzykb/Im8TyptP9F6RO9PZP2JL/tE1rcUBjVkPUprU0PWP3lb
a8h6sfB4Dfm9iySnhtyfO+szeZ8UiD/T+rm4z7R+7uFnMn4rv3wm6xmijbVk
/UN6rJa8nyru1ZL1Dm1NLXlf4/X5Us08DS99aq3B96+oL+R9TZX1hdYjar6Q
+wl6fiXzG/G0r6T+kHP7K62n/PiVvG+LuFqyniQ115L1G4W7ltxf+EFL1pMk
Xb+R9WD55G9kPUy16hvRwz1EWdapjjy/0riO1GNyVtaR+RI/pI6+r6cD/1sz
7Kl1a+wvE+upv8vryfu4MLie/L1EXk+uLy+tJ/cXLP0OfgddutGvE8Z34HdS
/yxL/U7ux2n9g9brSCgrzv8g76faoh+kfXj/fhA9wlENJP5UKQ2knoj7ooE8
j+BPA63XGd5I1z+ElPnPGsl6hOhXI2lv6ZCfhBXzftL1PR/KkoafZH1BzvtF
9Knm/iL5grv9F6mnEiT9ouszA3+T4/wtv8nziRKAf+leNG0ai35n/ybvvzzr
pmpmu3FgB8/RmD9jm8j58gdN5P1aVdtE6qPEG/6Q68mO/iHnKxXAixI4TX+H
YD6t+UPm//zezWS9Q3EE+NSt3VYBOtj+d5qJHzx1M23/Hn/J+ZKpf0n9mKDq
L3nfEev+I/1BNuUfiX+l2z9yPdF7elzahaNmr88pTIFZ9VxaETBrPZMXCsyu
1+rYivy9ygiYtb7KXQHMWm8UHABmraeLrwCz1gs5E1urGd7Y6x7CCuz/y1oT
PaIgYHZ92WVglh+K18Ds+um9bcj15ReBWevfqhJg1vjFbdWW3E8WAFw778l3
nwbMV+eAWe3BKQJm5Qv+X2C23yPbqdnxqD0DzHo/4z0HZo3XwiZg1vguGdae
sNwBmF0/WwDMXk/4Ccx6f5cZ6qjZ8w+lHTBrfYrjA3x2aUarH0EYDz8oKwZ1
UJP51RxgVn00bxswaz4lTARmzVdUAzqq2esR3NkdyfMIvDqS88XxwKz5E9+q
k5o9PxJtAmbN56QxwKz3UcV9ytrPncj9JZ6d1aT+NLozOa6625no4X4CZq1X
CXp1UbPXA5WHgVn1vZw7XYg+fjUwa74n6t6V6rfoSo7zbgKz6pmFlV2JXkm3
bmr2fE9u1o3cX+UKzFpPFFcAs9c/O+uq2esJShNgdv2sSJfcn38QmLV+oOjA
VbPXG7STgNn514VL/BHuB2bV70rSgIN7RQ/sOwn95Xcn8S9w7k7uL94HzF4f
uwTMWi9UvupO2k+0uIeaXb8u3QPMWp9UXOhB/l5b3IO0B4/Tk8SP6iwwa37M
LexJ9Tb3JH6IR/RSk/n2GWDW/JmvBGbX+/6mx6VDe6vZ46nCnrIwvzfJd5JG
YPbvQwb3UbPniypbYPb+iTcwe7/vOzBrfqI00CP5jDMHmDUf4W8FZv8+5zgw
a36n7a+vZpx69OP6ZOF4MQuY/fs2MTCrvkESp0/GA/lDYNZ+kmBmXzX5/dBG
YNZ+s+wYMKtehPMZmFVvIF3fT83+fZIiCphVD6DNAmbVg/A0wKz6U2HP/pD/
7u243b8b+hkJzP49921gVn2a4CMwu76MO0DN/M56O9voCtYTmQOzv7dzA5j1
/RnRB2DNwuIXAZX4vaiuA9XseizFZGDW92e0q4D9BtRXbRJjPY4KuFeD1U/7
F1iv1cmA6FEZA7PqcbkrDcj5ghDg/EhOj13nsV5LZ5Ca/H530iBynL8cmPX9
F1EwMPv36HJgVj0UbwIP4qNh6Q3LdujvUh7xTxIIzPo+izwVmFU/pHoJzKqf
EDsNVpN6DAkwqz5KeZ4e5xQDs+pb+f+AWfUdCn9DNbs+RJsCzKo/4L0wJHqE
fwxJ/EiGD1GT78U8G0Lj4dcQ4o9syFA1+/s3ynnArPoq0VNgVr21tAGYVV+q
4A1Ts+uttHOHkevxtgMHXN9rs7kW46EeWPjbpev6eoyHgcPVjInZV5dzORgP
NsCs35cLtgCzvn8lTgBm1ftx+o9Qs79/xLcGZv2+XrQZWKeyMMDSBeMhFphV
36h4AMz6npVwxkg1+/tekg3A1Ypu18WBqP8oMKueUKUAZn1filsD7FZy2jOx
Lfq7bpSaMZsiEjW8we/7HQFmfe+MkwXsnZ3qtOE4fv9MDcz6XqKox2g1+3tU
WilwO8GO9Y8moL+3gFn1ncIqYPb3sHTHqNnfG5NPAWZ9j0yQCcyqHxW/B2b9
fl/WZSw5rjQFZn0/irMK2HP95PvFp9HfcuCRs61HfY9DfzuOI9fTGo0j/Ze3
Apj1PQLhAWDW95tU7cfT+JgI/P3mr/ulJah/GTCrflYcNJ7Ej+wy8FD36t2u
KRgf4yfA/D1r4bDRBzA+llCW7gVmfx/iIjDr+wfakglEn2QRnxyXB/DJ86nO
AW9c5hc/IRf1FwGzft8v+Mun/c9vIukvnBRg1vcV+M8nkvwpHTaJMC95Erm+
sACY9T0DyU/gjk3Pfrm9Qb2GRsRflZ0R8Vf8BJj1vS7ZD2BW/bFykLGaebk/
d7LFU9Q7F5hVr8zfZkzGH0UdMKseVjvABOYPGR+885SofzbwjLjbT9opUL+X
Cfl7STwwq36W28+U+CuwMiV/L4uhrLxvSuJZxEwm7Sf1BGZ9v0x7F5hVz837
NJnmMw8zNbt+XXXYjIwv3DtmJN8JqoHZv2fpPoWMTxwpMOv3AfybU8j5okpg
Vn2wtJs5ydcKM3NyP0mFOWkveWcL0j9UJhYkvrgiYNb34GTvgCMzp5Z3W4/+
dZgK73uDNQ7HgrG9jaaS8/kuU8n8QrSfHte2m6Zm15vz+P/x/3+PQ+gMzP4e
yD5gVn22/NI0kn8F46aT/C5ePJ3kc9me6WR+o7xAmVMCzKpfV+y2JPMZ7Vlg
Vj05r9CSzH+EzZYkv6p2CdTs78dwzwCz6scFSmDW9xTFv+lx2VCGPA//FGVR
PjCr/l7ayBA/FINnkPFPawvMqneX5AGzvv8q/w7M+j6nymAmGb+4c2YSvwRb
Z5LxR/kNmFWPzxlgpWZ/n5E/y4rkU5EYmPX9F2mcFckvvL7WZHwSzrQm+Vmy
0ZqM//JjwKzfJ6juWZP7iwWzyHgoWz+LHFdGAR9w+ttqdSzqvzuL6ONrgC9b
SDOvRaG/a2eT87WRlHm3Z5P+IfwIzPo+j4RrQ8ZPboQNyTeCGzYkX4k//Hf8
/7+3KOs6R81sc9cp8M9CPzPmkPFIqppD8pWi01w1+3uFWuO5NJ+tnEvyr/zt
XDo/07EFv95oLN/+Rr2TbEm+ESynx8XBwKzf73Da2amZrgbvegT3wHw2AZj1
+xzRUjsyf5QGArN+D6FIpceFY+eR+a/ECfhdUHLt6Ik4X5fQ46rzwKz6Xm4x
cKPMb8USa5yvL7An832lPzDr9xWcs/bkfYz/wp5cT/THnszXeacd1Ox6eOEz
YPbvNX8Bs78HM0SoJvXoJ4Xk/VH8FJj1PRBZg5CsJyp588n7NccWmP39klxg
1vdIFPXArPpS7UBH8j7Ns3Ek65/CLcCs/RqVFpi1/8Dtv0BN9i+sF5D1SvHm
BWS9Uxa7gKwP8PUXqtn7SaIZC4k+6QZg9vdXjtLztQpgVv2sxHIROV++bhE5
X3UEmLWfxM1aRO6nXONE9HIineh68C1gVn2rqAqY9Xteqe5iNfv7NrzwxWR9
Qpi5mOiTvAdmf2+lyxI1+/stKtMldL36GjDr95Wy8iUkPpQdl5L1bo4xMPv3
mSuWEj8UZUvJeoe2vbOavb/Gm+hM7i9c5kzuJwlyJnq5bZeR9RXBeGD29xKX
ALO+HyjbC8z6/YnyIjD79xVjlqvZv1eRLgJm/R5VEQDMqgfWnltO9PKKKMsd
XUh7qfxcyHoRNwWYVQ8seA7cY36T+b77qL/JhbQXx3cFYX7yCuK/qACY9b0g
6c8VNJ4NV5L2kDxZSeJN/gOYtV+pGiRSs/e/uHNFtH89Bmbt1ynr6HHOwFUk
PvmzgVm/jxd5rSL5RPuVHuf1c1Wzf38vtHIleiWbXEk+kMcAs/aXBHpuRL+Y
AWbVA8s83cj9ldFuRC9H4UbaRzrdnfQvhYc7jefD7uR+vDvArHpiYbU7yVeq
1avJ/gpXupqsRwpuArP2L8WVwOz92W5r6H5MGDDrezei68CsemVpBT2u6LxW
zZhbRtwLG4jrwybA7O8/XAVm1x+/o6zq4KFm739yjTzI+qrAhbLyDTBr/47T
fh1dL+avo/qdKUv3rSN6eW3Wq9n7lcJxwKz9ScliYNb+pXwPMKteWHWBsni0
p5pdjyhb6En+XrkbmFUPyTkHvGN08S7pNNRfCMyq31bM30D0aXcBs/Z3eWc2
kP0yoZIel/wGZtWPc3duJPsPglMbyf3F+RvJerxy8Cay/yaSAbPqY6V5m8j+
iuL7JrKfoTXYrGbXb/PmbCbH5TnA7Pqtb5vJ9bkDxOR8wSxg1veIxGIx2c/j
fBWT6/H7eqnZ9UiimcCs+iXpRmBWPZXiGDCrfk7YZwvk30dDZ04+h34KgFn1
c/L1wKz6Xu5dYN+A3/c8z2P7T9uqZtf7KdcCs+r9OIeBXx+3EaTlob6PwNfS
JVF7ctE/921qdr0iL4Ky8Abw8ymHaxXvUN8HYFY9o7zrdnj+/LzJUW/Rv0PA
A0wXt5/1Hv3LANYLOz3b/A3qVQGz6h2VnbzV7HpNjgkwq15T8ZayVsdHzRgf
0Pj767bUa/ImAV81+dB1Ules51wOrPOal97cpoVVpcDlDSffLuvTwtx2O2C+
77DGKLZDCwsmAE9QfuP3b0C9S4GnbfoXNfkv6g0EXhUwYbtuM7Z3651qptWm
cY9t27f8vWgs8JXB435UdWphqROwq2zuwv2cFlZIgOOkTz1KWrew9jywnlmH
ZRI9rDcd5atmPtd7mU7u3cLyBcB1szcKKw1Rvz+wStxr39TJqP8scOLQ1F9x
E1H/C2BB7ktV4egW5uzaBfloRs7HmxYtzD8NHNqlgu/LR73PdpHzpb+A1zjx
2ukMRT93+JH7C08CB0d6mu8ahHqfAu862mAhHYl6G4DNogu2/xiDenn+kF82
ZMfemtTC4iTgNx1Hz7ea28KyXODR+0YN/zWthZX1wAfbZi9exKB+g91qJurk
s3c1s1C/DXDhccf234ToZzZwiTd3b0cb9FMLLKuM6Vc6FfX3D6D6rYEnHntX
f6kV6t8cQPzmfgkg7S3Ql6iZWxOT+3TpgvpnSMj1ZBuAH++Nlo4ahvqPAo8s
9ltf2wP97b1HzeyPPOBo1Yj935KyYh0wq15Ye2QPuT8vaw+JH/nUvWpmzuik
V4/7or9rgHsGvKqzHY76I4EVf9SGV0ZhPNzaS+JFXLWX+M1xDyTtwQ8Hbu1U
5xI/D/VnBpL2kL4H5hVdfWgqQD9D9xH/Jdf2kXiSl+8j8aTqGET1GgO3d+8m
+mOMfl4BvrPMrHuZEfpZBqx3JvVSsj7q1QlWM79OGXgm8lDvROBDHvs66lui
3mXALg+N2vtNwXh4HUyuz2u7n/QH4fj9pD0lS4Av3pdZP+6O+vfuJ/lE0OoA
ub94zAHyPLJFB4j/ygDgvK7py40Hov7zB2g8jAxRM51ujOvatRTjwRFYaBtW
dbwS48EP+F9mYpT3J4yHFMrC58Cs+nSVw0GSn7m+wKx6eEHyQZKvxQXAI5qZ
3j8+Yn77CVxv1K6VrRbzm08o5NcvZpXfvuN4cQJYv1Vuw0kuxsMT4DiLdat7
9ML++COUPK920CE1I2519DJ3APr5GNjwlK1qsQHGQ90hEh/cgWEkPwtmhxG/
lY/CaPxqKfP7hauZn99fVfQZh/FgBfyhbkHwAFNs/9pwmg/0Ikj+lDARpL/I
PSNIvKiigQsOX293eCa2fy8pub9supQcV3oAl1W12pO+BPUeAf4auNXWeiHq
vQP8zkLSPHwO+mcRSfPZaso8KbCxwbNloxag/puRJP4llZFEryDsMIl/8fXD
xA9ZBbDGp/Uws/Got/MRcr7o4BHih/TqEdK/FO+OkOtpO0SR6/GMosh4I0+L
IuOB6g3wDWbZ0uVm2P7to8n4IuBHk/FR7AzM+r0G5zUw6/ca/DZHSfyIxh0l
+VK6+Cjpr4o9R8n4JeQcI3olo4/RfLbwGDlftfsYGR+4546R/iIbEUPmE8r5
MSSfcPwo88/EkPmFSAm8wbntwZX/MB/Yx5J8yNsZS55XeCqW5B9JfiyJd3lj
LHk+gXcceR6xjLIsL460r/J7HIkHzqB4Em/S4/GkPyly4sl4rP0WT/oLb0AC
jedZCWR8534Ftg7OmTnIBfX2Pa5mGsfdvernhHpnUpZtBDbSTQ9ruxz9/Az8
eHqj+cKVGA99EtVMqe69XV9Xo15BIrm+Yj1wiGh/d4t1qDcKuGNaZZu/Xuhn
zySYT26yLeqwFv2cBnzvW/a13lsxHtYmketxDwN/k7nLihxQ/+0koldpLlMz
9p2W7Nlth36ulpF8wY+gLLohI9eXfgA2TbTyuO6LfrqeUDPhVldDuQHo5yHg
SIPB3sMlqD8DWGi+pHJOBOpX0fNVnU6qmY03gj8u80Z/QyjL0oEtIvPGfBSj
/rfAm/+N8NskQv0dTpH25E86Rf2VnyLtoy09ReZ3vHbJJH8KJwAzJ6/0LLBG
/UuB6xzPHYw3R39fJZN4ErQ+rWaWBRyWa5xR/1jgrf1c7YI2oH4nykrJadJ+
on+nyfNKR50hrFhw5r/1hOMTvSJRvz+wX8y5eQ8zUP9Z4Kk9ljg030R/h6fA
+/3zwt4VmeivENjeO920823UvwvYOSD3rMcD1H8a+Mb4kab9ClH/s5T/1qen
78+qRH/tz6qZL9bvjwS8RX93ANesjl6o+wL1n6THpU+BswU6vw68Q/0NwOaG
v73e56O/28+pmWddFrlueIP+Jp0j58tzgcctDviTXYV6Dc7DfHDe9tlfP6Gf
CcB3tpqYpr5HP7OBHfeZL49Xod5vwOtCQiNsfqLe/hcg/q19ff5+Rr3WwItK
VzO9tOjnA2DvCyfK2n1BP78Ab6hzjLZ/hXr1LxJ9khnA/JnBftUa1LsBuGRf
TES5Gv2sAdY9VdTauQn97J2qZpqOLBi9u3WHFv2WwMcnWRSc6dLCynXAn1MK
9WM6tDAnCvh2RlmzezP62eOSmnkiC3q2t03LccVU4O9dnsbf6tnC2jXAPb+s