-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathdataprep.html
796 lines (762 loc) · 153 KB
/
dataprep.html
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
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="author" content="Mário Olímpio de Menezes" />
<title>Download e Preparação dos Dados</title>
<script src="data:application/javascript;base64,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"></script>
<script src="data:application/javascript;base64,JChkb2N1bWVudCkucmVhZHkoZnVuY3Rpb24oKXsKICAgIGlmICh0eXBlb2YgJCgnW2RhdGEtdG9nZ2xlPSJ0b29sdGlwIl0nKS50b29sdGlwID09PSAnZnVuY3Rpb24nKSB7CiAgICAgICAgJCgnW2RhdGEtdG9nZ2xlPSJ0b29sdGlwIl0nKS50b29sdGlwKCk7CiAgICB9CiAgICBpZiAoJCgnW2RhdGEtdG9nZ2xlPSJwb3BvdmVyIl0nKS5wb3BvdmVyID09PSAnZnVuY3Rpb24nKSB7CiAgICAgICAgJCgnW2RhdGEtdG9nZ2xlPSJwb3BvdmVyIl0nKS5wb3BvdmVyKCk7CiAgICB9Cn0pOwo="></script>
<link href="data:text/css,%0A%2Elightable%2Dminimal%20%7B%0Aborder%2Dcollapse%3A%20separate%3B%0Aborder%2Dspacing%3A%2016px%201px%3B%0Awidth%3A%20100%25%3B%0Amargin%2Dbottom%3A%2010px%3B%0A%7D%0A%2Elightable%2Dminimal%20td%20%7B%0Amargin%2Dleft%3A%205px%3B%0Amargin%2Dright%3A%205px%3B%0A%7D%0A%2Elightable%2Dminimal%20th%20%7B%0Amargin%2Dleft%3A%205px%3B%0Amargin%2Dright%3A%205px%3B%0A%7D%0A%2Elightable%2Dminimal%20thead%20tr%3Alast%2Dchild%20th%20%7B%0Aborder%2Dbottom%3A%202px%20solid%20%2300000050%3B%0Aempty%2Dcells%3A%20hide%3B%0A%7D%0A%2Elightable%2Dminimal%20tbody%20tr%3Afirst%2Dchild%20td%20%7B%0Apadding%2Dtop%3A%200%2E5em%3B%0A%7D%0A%2Elightable%2Dminimal%2Elightable%2Dhover%20tbody%20tr%3Ahover%20%7B%0Abackground%2Dcolor%3A%20%23f5f5f5%3B%0A%7D%0A%2Elightable%2Dminimal%2Elightable%2Dstriped%20tbody%20tr%3Anth%2Dchild%28even%29%20%7B%0Abackground%2Dcolor%3A%20%23f5f5f5%3B%0A%7D%0A%2Elightable%2Dclassic%20%7B%0Aborder%2Dtop%3A%200%2E16em%20solid%20%23111111%3B%0Aborder%2Dbottom%3A%200%2E16em%20solid%20%23111111%3B%0Awidth%3A%20100%25%3B%0Amargin%2Dbottom%3A%2010px%3B%0Amargin%3A%2010px%205px%3B%0A%7D%0A%2Elightable%2Dclassic%20tfoot%20tr%20td%20%7B%0Aborder%3A%200%3B%0A%7D%0A%2Elightable%2Dclassic%20tfoot%20tr%3Afirst%2Dchild%20td%20%7B%0Aborder%2Dtop%3A%200%2E14em%20solid%20%23111111%3B%0A%7D%0A%2Elightable%2Dclassic%20caption%20%7B%0Acolor%3A%20%23222222%3B%0A%7D%0A%2Elightable%2Dclassic%20td%20%7B%0Apadding%2Dleft%3A%205px%3B%0Apadding%2Dright%3A%205px%3B%0Acolor%3A%20%23222222%3B%0A%7D%0A%2Elightable%2Dclassic%20th%20%7B%0Apadding%2Dleft%3A%205px%3B%0Apadding%2Dright%3A%205px%3B%0Afont%2Dweight%3A%20normal%3B%0Acolor%3A%20%23222222%3B%0A%7D%0A%2Elightable%2Dclassic%20thead%20tr%3Alast%2Dchild%20th%20%7B%0Aborder%2Dbottom%3A%200%2E10em%20solid%20%23111111%3B%0A%7D%0A%2Elightable%2Dclassic%2Elightable%2Dhover%20tbody%20tr%3Ahover%20%7B%0Abackground%2Dcolor%3A%20%23F9EEC1%3B%0A%7D%0A%2Elightable%2Dclassic%2Elightable%2Dstriped%20tbody%20tr%3Anth%2Dchild%28even%29%20%7B%0Abackground%2Dcolor%3A%20%23f5f5f5%3B%0A%7D%0A%2Elightable%2Dclassic%2D2%20%7B%0Aborder%2Dtop%3A%203px%20double%20%23111111%3B%0Aborder%2Dbottom%3A%203px%20double%20%23111111%3B%0Awidth%3A%20100%25%3B%0Amargin%2Dbottom%3A%2010px%3B%0A%7D%0A%2Elightable%2Dclassic%2D2%20tfoot%20tr%20td%20%7B%0Aborder%3A%200%3B%0A%7D%0A%2Elightable%2Dclassic%2D2%20tfoot%20tr%3Afirst%2Dchild%20td%20%7B%0Aborder%2Dtop%3A%203px%20double%20%23111111%3B%0A%7D%0A%2Elightable%2Dclassic%2D2%20caption%20%7B%0Acolor%3A%20%23222222%3B%0A%7D%0A%2Elightable%2Dclassic%2D2%20td%20%7B%0Apadding%2Dleft%3A%205px%3B%0Apadding%2Dright%3A%205px%3B%0Acolor%3A%20%23222222%3B%0A%7D%0A%2Elightable%2Dclassic%2D2%20th%20%7B%0Apadding%2Dleft%3A%205px%3B%0Apadding%2Dright%3A%205px%3B%0Afont%2Dweight%3A%20normal%3B%0Acolor%3A%20%23222222%3B%0A%7D%0A%2Elightable%2Dclassic%2D2%20tbody%20tr%3Alast%2Dchild%20td%20%7B%0Aborder%2Dbottom%3A%203px%20double%20%23111111%3B%0A%7D%0A%2Elightable%2Dclassic%2D2%20thead%20tr%3Alast%2Dchild%20th%20%7B%0Aborder%2Dbottom%3A%201px%20solid%20%23111111%3B%0A%7D%0A%2Elightable%2Dclassic%2D2%2Elightable%2Dhover%20tbody%20tr%3Ahover%20%7B%0Abackground%2Dcolor%3A%20%23F9EEC1%3B%0A%7D%0A%2Elightable%2Dclassic%2D2%2Elightable%2Dstriped%20tbody%20tr%3Anth%2Dchild%28even%29%20%7B%0Abackground%2Dcolor%3A%20%23f5f5f5%3B%0A%7D%0A%2Elightable%2Dmaterial%20%7B%0Amin%2Dwidth%3A%20100%25%3B%0Awhite%2Dspace%3A%20nowrap%3B%0Atable%2Dlayout%3A%20fixed%3B%0Afont%2Dfamily%3A%20Roboto%2C%20sans%2Dserif%3B%0Aborder%3A%201px%20solid%20%23EEE%3B%0Aborder%2Dcollapse%3A%20collapse%3B%0Amargin%2Dbottom%3A%2010px%3B%0A%7D%0A%2Elightable%2Dmaterial%20tfoot%20tr%20td%20%7B%0Aborder%3A%200%3B%0A%7D%0A%2Elightable%2Dmaterial%20tfoot%20tr%3Afirst%2Dchild%20td%20%7B%0Aborder%2Dtop%3A%201px%20solid%20%23EEE%3B%0A%7D%0A%2Elightable%2Dmaterial%20th%20%7B%0Aheight%3A%2056px%3B%0Apadding%2Dleft%3A%2016px%3B%0Apadding%2Dright%3A%2016px%3B%0A%7D%0A%2Elightable%2Dmaterial%20td%20%7B%0Aheight%3A%2052px%3B%0Apadding%2Dleft%3A%2016px%3B%0Apadding%2Dright%3A%2016px%3B%0Aborder%2Dtop%3A%201px%20solid%20%23eeeeee%3B%0A%7D%0A%2Elightable%2Dmaterial%2Elightable%2Dhover%20tbody%20tr%3Ahover%20%7B%0Abackground%2Dcolor%3A%20%23f5f5f5%3B%0A%7D%0A%2Elightable%2Dmaterial%2Elightable%2Dstriped%20tbody%20tr%3Anth%2Dchild%28even%29%20%7B%0Abackground%2Dcolor%3A%20%23f5f5f5%3B%0A%7D%0A%2Elightable%2Dmaterial%2Elightable%2Dstriped%20tbody%20td%20%7B%0Aborder%3A%200%3B%0A%7D%0A%2Elightable%2Dmaterial%2Elightable%2Dstriped%20thead%20tr%3Alast%2Dchild%20th%20%7B%0Aborder%2Dbottom%3A%201px%20solid%20%23ddd%3B%0A%7D%0A%2Elightable%2Dmaterial%2Ddark%20%7B%0Amin%2Dwidth%3A%20100%25%3B%0Awhite%2Dspace%3A%20nowrap%3B%0Atable%2Dlayout%3A%20fixed%3B%0Afont%2Dfamily%3A%20Roboto%2C%20sans%2Dserif%3B%0Aborder%3A%201px%20solid%20%23FFFFFF12%3B%0Aborder%2Dcollapse%3A%20collapse%3B%0Amargin%2Dbottom%3A%2010px%3B%0Abackground%2Dcolor%3A%20%23363640%3B%0A%7D%0A%2Elightable%2Dmaterial%2Ddark%20tfoot%20tr%20td%20%7B%0Aborder%3A%200%3B%0A%7D%0A%2Elightable%2Dmaterial%2Ddark%20tfoot%20tr%3Afirst%2Dchild%20td%20%7B%0Aborder%2Dtop%3A%201px%20solid%20%23FFFFFF12%3B%0A%7D%0A%2Elightable%2Dmaterial%2Ddark%20th%20%7B%0Aheight%3A%2056px%3B%0Apadding%2Dleft%3A%2016px%3B%0Apadding%2Dright%3A%2016px%3B%0Acolor%3A%20%23FFFFFF60%3B%0A%7D%0A%2Elightable%2Dmaterial%2Ddark%20td%20%7B%0Aheight%3A%2052px%3B%0Apadding%2Dleft%3A%2016px%3B%0Apadding%2Dright%3A%2016px%3B%0Acolor%3A%20%23FFFFFF%3B%0Aborder%2Dtop%3A%201px%20solid%20%23FFFFFF12%3B%0A%7D%0A%2Elightable%2Dmaterial%2Ddark%2Elightable%2Dhover%20tbody%20tr%3Ahover%20%7B%0Abackground%2Dcolor%3A%20%23FFFFFF12%3B%0A%7D%0A%2Elightable%2Dmaterial%2Ddark%2Elightable%2Dstriped%20tbody%20tr%3Anth%2Dchild%28even%29%20%7B%0Abackground%2Dcolor%3A%20%23FFFFFF12%3B%0A%7D%0A%2Elightable%2Dmaterial%2Ddark%2Elightable%2Dstriped%20tbody%20td%20%7B%0Aborder%3A%200%3B%0A%7D%0A%2Elightable%2Dmaterial%2Ddark%2Elightable%2Dstriped%20thead%20tr%3Alast%2Dchild%20th%20%7B%0Aborder%2Dbottom%3A%201px%20solid%20%23FFFFFF12%3B%0A%7D%0A%2Elightable%2Dpaper%20%7B%0Awidth%3A%20100%25%3B%0Amargin%2Dbottom%3A%2010px%3B%0Acolor%3A%20%23444%3B%0A%7D%0A%2Elightable%2Dpaper%20tfoot%20tr%20td%20%7B%0Aborder%3A%200%3B%0A%7D%0A%2Elightable%2Dpaper%20tfoot%20tr%3Afirst%2Dchild%20td%20%7B%0Aborder%2Dtop%3A%201px%20solid%20%2300000020%3B%0A%7D%0A%2Elightable%2Dpaper%20thead%20tr%3Alast%2Dchild%20th%20%7B%0Acolor%3A%20%23666%3B%0Avertical%2Dalign%3A%20bottom%3B%0Aborder%2Dbottom%3A%201px%20solid%20%2300000020%3B%0Aline%2Dheight%3A%201%2E15em%3B%0Apadding%3A%2010px%205px%3B%0A%7D%0A%2Elightable%2Dpaper%20td%20%7B%0Avertical%2Dalign%3A%20middle%3B%0Aborder%2Dbottom%3A%201px%20solid%20%2300000010%3B%0Aline%2Dheight%3A%201%2E15em%3B%0Apadding%3A%207px%205px%3B%0A%7D%0A%2Elightable%2Dpaper%2Elightable%2Dhover%20tbody%20tr%3Ahover%20%7B%0Abackground%2Dcolor%3A%20%23F9EEC1%3B%0A%7D%0A%2Elightable%2Dpaper%2Elightable%2Dstriped%20tbody%20tr%3Anth%2Dchild%28even%29%20%7B%0Abackground%2Dcolor%3A%20%2300000008%3B%0A%7D%0A%2Elightable%2Dpaper%2Elightable%2Dstriped%20tbody%20td%20%7B%0Aborder%3A%200%3B%0A%7D%0A" rel="stylesheet" />
<style type="text/css">code{white-space: pre;}</style>
<style type="text/css" data-origin="pandoc">
pre > code.sourceCode { white-space: pre; position: relative; }
pre > code.sourceCode > span { display: inline-block; line-height: 1.25; }
pre > code.sourceCode > span:empty { height: 1.2em; }
code.sourceCode > span { color: inherit; text-decoration: inherit; }
div.sourceCode { margin: 1em 0; }
pre.sourceCode { margin: 0; }
@media screen {
div.sourceCode { overflow: auto; }
}
@media print {
pre > code.sourceCode { white-space: pre-wrap; }
pre > code.sourceCode > span { text-indent: -5em; padding-left: 5em; }
}
pre.numberSource code
{ counter-reset: source-line 0; }
pre.numberSource code > span
{ position: relative; left: -4em; counter-increment: source-line; }
pre.numberSource code > span > a:first-child::before
{ content: counter(source-line);
position: relative; left: -1em; text-align: right; vertical-align: baseline;
border: none; display: inline-block;
-webkit-touch-callout: none; -webkit-user-select: none;
-khtml-user-select: none; -moz-user-select: none;
-ms-user-select: none; user-select: none;
padding: 0 4px; width: 4em;
color: #aaaaaa;
}
pre.numberSource { margin-left: 3em; border-left: 1px solid #aaaaaa; padding-left: 4px; }
div.sourceCode
{ }
@media screen {
pre > code.sourceCode > span > a:first-child::before { text-decoration: underline; }
}
code span.al { color: #ff0000; font-weight: bold; } /* Alert */
code span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */
code span.at { color: #7d9029; } /* Attribute */
code span.bn { color: #40a070; } /* BaseN */
code span.bu { } /* BuiltIn */
code span.cf { color: #007020; font-weight: bold; } /* ControlFlow */
code span.ch { color: #4070a0; } /* Char */
code span.cn { color: #880000; } /* Constant */
code span.co { color: #60a0b0; font-style: italic; } /* Comment */
code span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */
code span.do { color: #ba2121; font-style: italic; } /* Documentation */
code span.dt { color: #902000; } /* DataType */
code span.dv { color: #40a070; } /* DecVal */
code span.er { color: #ff0000; font-weight: bold; } /* Error */
code span.ex { } /* Extension */
code span.fl { color: #40a070; } /* Float */
code span.fu { color: #06287e; } /* Function */
code span.im { } /* Import */
code span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */
code span.kw { color: #007020; font-weight: bold; } /* Keyword */
code span.op { color: #666666; } /* Operator */
code span.ot { color: #007020; } /* Other */
code span.pp { color: #bc7a00; } /* Preprocessor */
code span.sc { color: #4070a0; } /* SpecialChar */
code span.ss { color: #bb6688; } /* SpecialString */
code span.st { color: #4070a0; } /* String */
code span.va { color: #19177c; } /* Variable */
code span.vs { color: #4070a0; } /* VerbatimString */
code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */
/* A workaround for https://github.com/jgm/pandoc/issues/4278 */
a.sourceLine {
pointer-events: auto;
}
</style>
<script>
// apply pandoc div.sourceCode style to pre.sourceCode instead
(function() {
var sheets = document.styleSheets;
for (var i = 0; i < sheets.length; i++) {
if (sheets[i].ownerNode.dataset["origin"] !== "pandoc") continue;
try { var rules = sheets[i].cssRules; } catch (e) { continue; }
for (var j = 0; j < rules.length; j++) {
var rule = rules[j];
// check if there is a div.sourceCode rule
if (rule.type !== rule.STYLE_RULE || rule.selectorText !== "div.sourceCode") continue;
var style = rule.style.cssText;
// check if color or background-color is set
if (rule.style.color === '' && rule.style.backgroundColor === '') continue;
// replace div.sourceCode by a pre.sourceCode rule
sheets[i].deleteRule(j);
sheets[i].insertRule('pre.sourceCode{' + style + '}', j);
}
}
})();
</script>
<link rel="stylesheet" href="data:text/css,%40font%2Dface%7Bfont%2Dfamily%3A%22Open%20Sans%22%3Bfont%2Dstyle%3Anormal%3Bfont%2Dweight%3A400%3Bsrc%3Alocal%28%22Open%20Sans%22%29%2Clocal%28%22OpenSans%22%29%2Curl%28data%3Aapplication%2Ffont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAE8YABIAAAAAhWwAAQABAAAAAAAAAAAAAAAAAAAAAAAAAABHREVGAAABlAAAABYAAAAWABAA3UdQT1MAAAGsAAAADAAAAAwAFQAKR1NVQgAAAbgAAABZAAAAdN3O3ptPUy8yAAACFAAAAF8AAABgoT6eyWNtYXAAAAJ0AAAAmAAAAMyvDbOdY3Z0IAAAAwwAAABZAAAAog9NGKRmcGdtAAADaAAABJsAAAe0fmG2EWdhc3AAAAgEAAAAEAAAABAAFQAjZ2x5ZgAACBQAADWFAABReBn1yj5oZWFkAAA9nAAAADYAAAA293bipmhoZWEAAD3UAAAAHwAAACQNzAapaG10eAAAPfQAAAIIAAADbLTLWYhrZXJuAAA%2F%2FAAAChcAAB6Qo%2Buk42xvY2EAAEoUAAABuQAAAbz3ewp%2FbWF4cAAAS9AAAAAgAAAAIAJ2AgpuYW1lAABL8AAAAKwAAAEyFNwvSnBvc3QAAEycAAABhgAAAiiYDmoRcHJlcAAATiQAAADyAAABCUO3lqQAAQAAAAwAAAAAAAAAAgABAAAA3AABAAAAAQAAAAoACgAKAAB4AR3HNcJBAQDA8d%2BrLzDatEXOrqDd4S2ayUX1beTyDwEyyrqCbXrY%2BxPD8ylAsF0tUn%2F4nlj89Z9A7%2BtETl5RXdNNZGDm%2BvXYXWjgLDRzEhoLBAYv0%2F0NHAAAAHgBY2Bm2cY4gYGVgYN1FqsxAwOjPIRmvsiQxviRg4mJm42NmZWFiYnlAQPTewcGhWgGBgYNBiAwdAx2ZgAK%2FP%2FLJv9PhKGFo5cpQoGBcT5IjsWDdRuQUmBgBgD40BA5AHgBY2BgYGRgBmIGBh4GFoYDQFqHQYGBBcjzYPBkqGM4zXCe4T%2BjIWMw0zGmW0x3FEQUpBTkFJQU1BSsFFwUShTWKAn9%2Fw%2FUpQBU7cWwgOEMwwWg6iCoamEFCQUZsGpLhOr%2Fjxn6%2Fz%2F6f5CB9%2F%2Fe%2Fz3%2Fc%2F7%2B%2Bvv877MHGx6sfbDmwcoHyx5MedD9IOGByr39QHeRAABARzfieAFjE2EQZ%2FBj3QYkS1m3sZ5lQAEsHgwiDBMZGP6%2FAfEQ5D8REAnUJfxnyv%2B3%2F1r%2Fv%2Fq3Eigi8W8PA1mAA0J1MzQy3GWYwdDP0Mcwk6GDoZGRn6ELAE09H%2F8AAAB4AXVUR3fbxhPfhRqr%2F6Cr3h8pi4wpN9K9V4QEYCrq7b2F0gC1R%2BXkS3rjKWXlfJeBfaF88jH1M6TfoqNzdWaXxZ0NM7%2FftJ2ZpXfzzeVILi0uzM%2FNzkxPTU68Md64GQZ%2Bvfa6d%2BP6tatXLl%2B6eOH8uVMnTxyvVg4fGisfhNfcV0f3luz%2F7Srmc9nMyPDQ4IDFWUUgjwMcKItSmEAASaNaEcFo069WAghjFIlAegyOQaNhIEhQxALHEqIeg2P0yHLjKUuvY%2Bn1LbktrrKrOgUI%2FMUH0ebLc5Lk73yIBO4YeUrL5GGUIimuSx6mKl2tCDD8oKmCmGrkaT5Xh%2Fp6rlphaS5PYp4kPAy3Un74OjeCdTi4nFosU6Qg%2BqRBsoazczLwHdeNqpVx3AW%2BoVjdhMThOo6YkGJTl862RFq5r263bbYSHyuswVrylsSBhHzVQKDU11g6hkfAxyOf%2FDVKJ1%2FHCvgBHtNRJ%2Bb7eSYepeQ4VLZBqAeMjgM7%2FzyJJF1kuGw%2FYFpEq458Xrr65YTUa6VCEKGKVdJ%2B2FoBYYNKCwV1K6B2s1mJnPB7Ww6GtyO04ya%2FHHWPHs5P4J65NyVa5VA0E0LocwPci45b6tvMvohm1BYc1h12Xd2GrbbHVkjB1pzs6IKtOHeYd%2BJYhFasmfs9Zt%2BSZlo9pu8eg0utWZAKB8vjaxBQx7cSbK3Qdr2nBwM27vrXcUHtLolLJyJjK3CAbDcFDo3hsPZ63IH2RrsoWyskdB47jiKitFtcAgqj4wQQxN3PB81RCiCo0Y1jnUVYlOj5JHhJd2JBevIEeSQxDWzTN8PEE3AL90KtP11dVrC5II1L1w331pHFq10vPBGYeyUCFRvB7PAEzMltdubhb%2BlZ4dw9w86yyNfG%2B%2Bu0ZWOBkmsb%2BGrsrKGIN4R0XPQimnAEcj3CI6ZDR35zzHJEZlcW5cQCTMwty4umkB5B4ajHwVNhQDqdMLSAmClnhLScgYgMbQJESALUrtIvjpQz9LVxuIPSiYgQkjusZ01l4BERrPtdO9KfDErKQLne6EUbJlXHqTccNzL163tuES26ickjo5va6FIkCyIyaFEYA%2BlejuqlFxLWIYKmQG9W0tlMe0yXu80wPe%2FOavEJrd8srSFziSal30wMj5H2mH7T6H218RQ93qOFysDEgtLBoRuQUeXjyPQKexdLjoa4vtAQJiBsEXYutEo9T1%2Fm5mUdBMbXFCzIq8Z6Yl5%2B7nyic%2B1mE3xisVatpBarpcC%2FmUs9%2Fs3Csty2GRPfLMo7FrfqcS1KDxIntwVjnkEtjRJoFKEVHWmelIyxd7Y9xlqGHTSA0VfbnBks08M4W21bHczuJBrTiYixiBnsMF7PepCwTAdrGcy8UqZb5uWGvIyX9QpW0XJSrqE7hNzjjGU5u1vgRe6k5DVv4DZvpVnP6Vi0yMKLOhUvPUq9tCzvFhi5mV9KVNMvWpfRJg1bggjEml6Uz6KmiiN92dh%2BGg19OHK4TmOC61TIcAFzsF7DPNQ0fkPjNzr4sMZHaEX5fk7uLZr9LHK9AW9KF2wU%2F%2F%2FBUfaOnlREfyrK%2Frv6Hyn3ISkAAAEAAwAIAAoADQAH%2F%2F8AD3gBhXwHfFRV1vg5974yvZdMQspkSIYkQkgmhdAyIIQQWsSADCLSpajUiMgiAkuJNGmhKyJGDCyybCiyiGBHRGQtyLIuf2UX19UPy7oWyFz%2B972ZBxOE72N%2BL2%2BYd%2Bbe0%2B5p99wBAscBBIN4ACjI4D4oUJEIVAbIL8wPYX4oP1TQ3um3%2B0v5dZz2bj44nsyKLhYPXKkaL1wCAhuuXcQ69dsWyAu7qF5PBMFqQzQRkzQgYvIQCuXleXYHlCXl2x1YZg%2BF7HxMDNAQLQoVetwuKZCZjRUTQqc%2Ff7RjebisqAeuEQJXmpZUdA%2F3KgcgsJA2kL1xDNPDZqCyQAWdXiIy5YOHThUq4%2FKB1XFpgPr5heVtJuSQvJzxOeKB6HfEplzKWCEA4Sc%2BVgqkw8bwIF16K7fg0ttNJr3DajEKBqfT5UlNkwXJKyD4hCRRlFySwU%2BTvTTJkJTh1wkms6l%2FpBWa08Fmt%2FWP%2BNz2AWYcYEez3WwXvU5qECE%2FVB5ylJXl5993Hyc3zw6hkHaPoerldxVjh7eMX%2FF3hYWxu0KF382pcKpXsV%2B9QlS93Mj%2FSz%2FujinsVE1dDTszcEk1u4LpPdjXmDdw6UAsqFlUg7rmf2J%2Bd3aGLmC757GBuEe55mHNXGxifZVrLtuNNUBhwbU6wSQ5IAOyoS2MCxcH7VmpXkHIdZlFP4BPtOvFdvlZZsncL0Kl1pZcS99Iam5eK1erfhFvrkviL9HDKc5X6OV%2FChUq7aGEvw5U6QuFVCbEhOSSZHegODM7WOzxhOzZ2cVFJaXFIbfHK2cH7WlELuK3EnR5vHZJEkzvHZw35S933n0ucur5ky%2FMO7SraN2mrVuqGiNPnIt%2BNnTy6HF4fMkfvf%2B6EEjfkpWPh7rtXrJgp%2BNAk9hzQScj6194%2F%2ByxlZE72Ow0KvcdloMLbPcBiDD%2B2jdSW%2FEk6MENfk55AfQMtwabaPC0aZWZ2a6Nob1NKgxRc3qemb%2FaF0jtk3xZPtkpc4Xjr3KVXE7WDfpi%2BsfVJ1RotwUyJVFVbE4ZV3JUPi0pLsq%2B%2BXMM4A9Vd%2B%2FYcXcVvrtx7bLN61av2oINVTU11dU1NVV4cuPaFRvXrV7xDGPNH6%2BheQJpbMQaHLiz8R9fXb5w8dLl5vO7XnzhD7uef37Xxa8u%2F%2F3ipa9pxpUqrt5AYeq1b8QPxVNg5BQWw13h9k4PpEqB3Lx2eW0DlmxfqkdfUhoy9Y6EnNZgW0t7MZ%2F6smlubka%2BI0NfFckQoDwPkjih%2Bd4yrpTleTdRqoinJE6Ts7AULcTt8mRxQbYjMeLcXMpYwucgMgaCkrrMn668Z97YBwZHJm%2F%2B%2FhnWZ%2FKwOzazl5c2DerS%2Bo2Xth9eshXXd7jTu7NHHeb98%2BVHfqw%2F%2Bz%2FCmp5zhvSZe3e%2FkSOubt2EO3tExnWrrbsy%2F51x94%2BaWFa%2F84V1k%2Fbfx2Z1fWE0%2B2It%2B2zfxGEfAaBiMbBctRiug0CpIBLFUpyK2R%2BOumYgYrZB%2BcZAdoT4%2BTfM0CpsksEggGCxGoNUsV4J5sVpc5SGJE6pwxvIJgM3r97%2B1Kq1S7et2UQKUI%2Fv7znOCn%2F8jpW80ohvKaN24aOatFEFAx8XLFYDFYItR0UbkQMljuIiEgx5HMS0efW2pWtXPbVdGZb9yjruPIInv%2FsR3z%2F%2BEisAhMFkrmCRXGCB9uEUKgoomw16o95qEwxoJiaT2cDtl84CUP5G4XWJOTBmWLK8olOmNOjMKhUpWZWHK5LZgl9279229we2OBUX50kuVjv5QDo7PBwnsvrhWJF%2BYDIuVagZDxeFHOF1MEKbsBMEQS%2BKJjOVdXJ1BKw61EH%2BfeqSTzTz3I7ZA3Zuv%2Bwhshy3sDFL2TjctJR6n2SDsfFJ3A0I5ewXfAgugw7s%2B0XQG0SAfFVWHOEsr6TyphSHW5NHFc9J6Wa%2B7B3Dfp42HguHAUINniPlZCpQ%2Fl0CogDIrW%2F8u85iv7sGv8ZzGzYAxjwV%2FMCxTwobJQCTWU8HRPQeruaaXpRqestVdUOXso7dupeF7px4Z8%2Bed3arKFc44AIg51W9ch4kIIiUEocmSk4sBpCcj15oUDRJXYYExl37RmirrkIv55rLASYJJF%2BS3t0nopeptU%2BE%2BmLrLK%2BlPgQyid3mCBU6UP1rVz8R2n770zc%2FXf7x8s%2FNn9fvaFi3rmFHPfmMLWRP4lycho%2FjNPY4W82Os88wiJ34K4tdAIQjAOQkx8YArcM2PaAOjSZBL8uolzAJFFvGDXd8ej67P2AvKpUkOYghcnK7zl300RBcsExwzJ%2Fhbrd7GuYBwhgAIYtbTx%2F3%2Bd4klJ3gtKCQnGIz9InYZEzqG8EkjSzNavCB%2FcXYlcQshhyMsZrI6PYLWc3lOG%2FvlA4rHr%2F3uTFD3r38%2Fr%2B3fMKOke9W4oJ9G566u7au84CpOz%2Fct5R99wF7W6dIYjjnawrHIAh3hlungFOWgXoyzVKbHOr1eD19Il6vISsrrU8kSzbY%2B0QMGpdjgYh60zDTHJKHoyP4404pw27zB4o1o62gq%2BBLL299am8j%2Bzv774zj995%2FdgTOZsOfWr3rnTWPj2h8qGbo1%2FM%2F%2FkYYvmxfms7TtPrM54E7ns4vwBw0rFy%2FaNJjRRVTet31OgCBPABhongUDOCAzuE0h6gnxChToCJ1ulB0iH0jeqvscFBZotflk%2BhMQ5oJDqhrC%2Fl%2F%2FFxmAUlGYeK5Z6Jl5MDec2yJQdc%2Bl5ViNduL1avoZ805eGll04jy6COKheT8S%2BU6kQwdw%2BlW6nPpXF4qtEoBziwAye3mMnRLkqlPRLqZdQlsKxTcLghkqhzjrLL5M%2BWgUwldSkjbL1HPLrCf51d8MHbv66zu%2FmcGl5Kz0YNZ0%2Bmcf759kbEB29qGGrZiYWop2b2R9fYqnKnlWOVzqXqgNfQIB5LtRr8fQLLT7CyT0ZLaL2K0WFzU5e0TcfmojkckcgvcyhJ4pNlr8Bd63VyEhIbiGhfIBFGTq8R9lqcWB2Dl1G79Rn%2F9i8n08OU3L%2F760UX2E369YuvqVUPrI9VryFR8CXc5V%2FrYefbW7svv%2FYNdxUHv%2FOnFVQ1V8yse2Dde0UcAIY%2FzU4L0sA1FEQg3jJT0jVAJFBlqbOOrALk1dCOmkuHNF%2BmpaKOYunHhldNAlZhEyFGpz4R20C%2Bc47Vmu%2B6gqXo9lewuq5TfXrLnZORk9Ink5JjAlNwvYvJBoF8E5N8qd9nN3jrmj7mOx8OPLDXqolpgwv0zZkpuzaeTynf%2BvWjNvnr22b%2BbsfDJR7%2Be%2BcL6dQ1bXlu3CDvOWfHIMytnrhJPHt7x4L7eg%2F48%2B8C5U0euLuu%2Ff8ozr1xteHTRssdGru8V3kwfeHTMsN937%2FzksLEzFdlO5NQpNsMLWdAtnJlizzQYAAQu26AljUvWZbEQlyuJi1Ymcr8Iaal2jjKNg5qJ9Ctqx02jMyDFKHJw8TpUIvjHKhXZQlZ0%2FIwe1eO%2B%2B6%2FRVHpg2mv%2FuPbBuguPMtfKLU%2BtuXfjkIFraEVzg2tlMuZg6O57%2FvXBP1C3kZ3H9od2PPV81RMVE%2FaNAy3HEcaokRS34Ta%2BLAA8XotzQMRiizkRDVfN87X0JXae6NzkVR6Znehb6J8XL%2BY3IKovXMjn0oEDMrkmmc2iXu9yGm0DIkab6hgTZklwj%2FT6FDccpXsmn6Rjlxv%2BknyrTFMR8%2BU%2FcF9%2BDiRwh%2FUCiChwdeXD58cDhSwsRjeikNNcTo83%2F0AtP2DDKLywji1nhxSezMTjgo9eVHOy3LBbJgIQ0OsEsToiIFRHrIjI4wHOlfxEz6a4ZOTXTLq9eTjdTofW1bEH6up%2Bg5GIBDhGEr2BkRNVlMZTa%2FP3HKVyrMMKrF3H%2FKPYUAWjlGsXaRnXrxTIhrJwqp%2FbMtnphFYWIdgGoLWtddqASGuPzdA7YhNaqFZLvVJSEa48LZwUd4YSN4mJ%2Baq%2FctSSXgtmD6gf2emV91%2F9KNj38bHd9l3PX0tq19dMnzFw3OSsgsWjj%2BzqPXn0w4On3e9nZ%2BNJLYFZ1yqkQ2ITFEM5zzwyA%2B1KLJ1kVwpAjsvSTgx3S%2BrQQeiisxv5Ky%2B9kGbnqUmllmSFEhOP6%2FG4ug6C2nJQUPdSt0td36R1IFMgbsUalrqlQAbw4KK1v1BwIH%2FudKqm8NCQbeMHP2LUtVk3rv7Fb4712N3Tt%2FDeaWvZt3%2B8wA7swe6Y%2F5cvjv3I1rHJn%2BAyhLM44ODVn14%2F7bBUDpq%2Fhpxb8c388XfdM%2BrU3veu%2BTws17Pv7O79aFvzMnvxc3aaHRq8sAZX4jgUsP7CfvYntoNhGYquJiAAAKJNPAIyWLjk0ojFqENR0SwqyILNaiG9I0bRYhFECoKD518xh6iplZYz%2B5W8H0OIlBsz%2FtURB6IHmnaT7itJORvb6A94cnbjGZYvHrnSg0zENwfPGTGddQIKJwCEo9xyW8ALGdA7nO0UUg1Wn89iEGQLjwd01iRrUlXEarWAxVcVsTjAWxUBevt4QnM9%2FgxBMbluwe4SAjxpj%2FmcgN0ef3cCt2IAhVVLsR%2F7%2BTIjjZjU9PTeY1ew4I9%2FOvhn8cCeI%2FNf9BnK2Pk3%2FkZ7TF00%2B6HoquhndauXPAGAMIdb09Oqr8gOu6jFpbdQb5IDekccglHi%2FHK2DL%2B4emRymUNIE3%2BRo3WokKfbtNP37Cs0%2F7rxjQ0X2Cvs2Rex%2FNNLuysbxBB7lX3FPmdvl64rwyU44QusOVSzuj8AUTgmDuEc04FdsYcWQQ8COJyiuSoiUsFSFREct4ppwc9rSBlA%2BZuAPZTBx2Az2Uo2CY%2FhIHysic%2F1z59PI%2FdU5CtWz%2BaJB9gi9gKmYebVKZgHgMq89Bc%2Br1GJWSSDAQXQoWAyS%2FreEUlCQsTeEUKRr3B03DZmUZBwxy%2F6S%2FMZmh%2BdTYZHt5OF4oH1LKc%2BeilhJj0UhpMlAKQ6pAbjTRPxSW45Q0CbAac3asPzwaNfrY9LTuyi2ilOhUvnI8SSohNapUJK7wiAaDLZe0dMgujtHRGdt4%2B8%2FHaphRyV9%2Brq5lT1xe9nfPc0a2IrDuKQL%2F%2F9bve3DrL%2Fso%2FQj0kbVrGXCYuWZWXjUhzzD7xn%2F%2BD6GvYau8Q%2BZe8H8LUY7WK6yuVQ2KdHBJ0giCCaTTraO6LTiQaJoshJV81RgnG%2FQbydi5f%2FDYnpjc2ssZGSRrI3Ws1z7dXkYQC8NoLNxfFqVpwaNht1OotVT4GzFDJj9GrpGI15%2BJJiPpxLMg0v6dVv9AONx9jclFWuR6fyFGvI0TNxvRC%2BUjHmnkjBViRGg4Ix0Yn6RGzLWkgJZRVRDKHw1TvRrzc2NpL1J6JN5M0l0dc5snnk4%2BjCBF0QIT1soQCCJCMFzgtw3EBXxTekkO0%2B0aio0pV%2FbIp9V%2BKIgpPrUZJOFCUev%2FJSmsuNBjuVjDK1gKQgp2DnLbuZlRjwuJUAn2MY4nce4COtZjadZSsCntbhh6zRomMm0bbpo%2Bbh4oGrVQLPOume7Uev%2FBCXo1IDsUG7sFsvcaytVpDB7jBS2aqjKCdypaUI4xPzabNJKZdj%2BWvNn%2BtsW4%2FRVB2xkGeEk582NR%2FnE3ZMwaxy2guAqFp99FZ5bu%2BIXqDW3hHqvLVNiOltBiTmueJRtpW9oZgjHIE9sBOOujo9%2Bv1%2Ffvn5h%2F9Eeb77LHuYa%2B94HIt1bArbxs6yU1iIuRjEAnYqZp%2BE8erqdUBRONnA%2Bc75DE6XQaiKGAySLDuqIjKVEtavhpXmSgW%2FmlplYChutYXx7Ay7tLsRZ5PWUePGL949euKoYPr7t1HOh2jK6mdXrVC5wHaoXLBCCp%2BZp8MeAIEa%2BOqmZtns6x0xC7KTL2yZM%2BMtlRs3J6I2pViG8q258sX7OOxndrH0tpz5ki3rzuqxivyf%2FDnN%2BWMCN1SGs8yIxKS3y0aDQdYTwePVm8EMVRGzmVDK5UepkSi6cntnp2Ku8ktw20SOf5bGNm4BcRXyGdhfcfkJ9jQ7%2FVXTzl2vfEZGRLeJB94%2Fzf4%2BLjqZjFi9cuWqJwDVHIFw29ha4V6a0wSQ5BSFrGxTGvV4uH30CFSfoEoJiY4mt0CGlozy8D%2Bo5jgx%2B6jmBbwy4BEI%2B9d3rHnZ0I%2FGN%2B7usnL1ey%2BxM389WLx%2F1%2BINHRbWXfoDLjz%2B6Z07su%2BYN73vyIFFvd959sV3qtf2nfFA35F3FQw8AoDgABCGcv7JvJ7iABSRUp1epgK3CYLmFeJ5qGYSi7k3IEsbWYFQyQrE9PWqJzjM14yPj2OHrLDdhgYZZafDrqOCmQ8UpzGUuFzsLkUnVHMYs4uij%2F2F%2FcJfFxrfee3ld8QDzf2vsC8wo5nuaa44%2BMabh%2BghQAAA4XW1%2FpMcNqJgMuooCJQqiPLlrxWvQhjgF8%2F%2FSgXTwej3O6M%2FNmF1x8zWHdVaFh%2F5uU3bnwXkmg1yXz6aT6km%2BQwpyW6LRdQn2Q0U9TGTotqUGOKqNclWAjJldKcyenwSZ0h8cyc75y5CT3v2xU42u%2BnL9p6UYpSa0Nne7yy%2B1EQ%2F7PaW6%2Fdbm0N88llHNx18ic5qnrv59RXv0YUK93QAQr1q9QNhhyCJ3ORLiskXFJMvtDT5KhocAz63Yu7rj%2FPIY0oTXmKdjuAkfHg%2F60QWROeQZnI4%2Bgq5M9oX4lybrUY5GWGrIBJRpnoDiChTUeOcJmE%2BqKL%2BGCJdcNEhlrSb%2BQ6T8%2BR887zoCZJPFyv1ZQBBscZ6pWKmQyqDLKBgMIoCNwcUdUrMcuuKmVot8AvlzU6qi9roq82%2F0LSFwoaNC69OAIQGdoRMVnSRY2mRUFAYoxcJlTDIOdBSfeJRD5nMSvEEu4B%2BdkS6svyKX6HWC0A%2Bi1c2Kd5c2XRy3h0mgYbo%2F4spg%2FKNEDuCzdrMFFACSacHOUgFevPMXj5rMb9CfMoLfOrSA%2BKF5b9KyigFJCgExOMgQVJYD1TWiQQEwrO%2BG5rpVFUTC3DfaPxsA1vG9pEg3dQ8jnwV9QJea2Zv0k3XKtUKsJLHIlEqwBgjmU%2FLQUfRp9mbCwCxTjhHHZIf9OA8AILRID2BkJ%2Bs1ZoxwDW1OMStBHU83G1fm5MZ0%2B4QzhUdK3f33F8MRKk50lPCUEXzoVc4K1NnTEvz%2BRw6yqMpYkzrFSFGI7jd1ooIt4LJFRHRA24o%2F98LVH4tX7NllapJZ7zS6LZn8QVeLKsVKjrQrxv43GPPvUychyc%2FVveH0F3HR77xCrNs%2FmPDWy89tOWB3js3Y1%2Bb1GPe7Jq5dxTuORZ11TZuHC3LD00fOhwI7OVWtVZygRPSeVUt0%2BD1Wq2mVGqiGX4zmNwOu8HOhccRljzgqoiArYV5DSXF1SDB1sddEk825YBijeRQiVcrvHAqyJ5Pv%2F3%2Bk0l%2F7GwKzGzQ6Wa811i%2FqXFjfb0wlJ1jP%2FDXxwMGLpdcbNHcsTuWvv7ll29fOPPJXwAQpnMOLxWGxbIaK6VuPU3ySmaOmQ0cHDPPzVmNGM9qlJ1DHgNzu6hmOGTcZXYV9f8d8HTbUOn8QrbvuW11Tz3swiw0oRPvyPQu96Sywe9%2B2mlNGRBlVqGU88fB%2BdM97E%2BVvGCx2CV7ht%2FhtgIgmqhez9mjt1FnRYR6bscerSYTkLTqvTcUDPLPA6osi%2BJOiG7ST%2F%2Fn2W%2B%2F%2B%2BTCTLMsNCxmTzdu3Ny4evOmNS9gNlr5647tA%2Frh0V%2B%2Fmfny%2B4Gv3r54%2Bi%2BfxLF0cN44IRk6hdOTDF4jpdzqtkrxGit4uRskyaUyyqIw6paZQyiRZQ632%2B%2BJsUuivNbh53Kb%2Bx%2F2JYp%2Fe%2F%2B7qFl8eecf%2FzBk65bfb7WQLstc2AZl1GMH9v3fJxx%2Fp2pttp%2F%2Bc%2FeGrS8oUksFoBYpHVxK3cVlMjkJ4UaSuj0GvhQMgKIsVkScspUqq0GtY98IAxWmOZS1p2QNgeJSXkPW3DX3mE%2BzrxreeANH3lObN6LH8KHopW83l9G3%2B3TugmsDC9PnPNkLgEKQuYQCzplcKIVu8HC4a56vQ5YpvYtY4ESnSHIzW6Vn%2BQzd72xlLbYWV0R0nXpFDJm6XKvOqvPk5pJekVxrm%2FJekTY2T7teEU9KnHUa%2Bzj%2F8pXd%2BrzbxD1uragaVBdAqDC%2BjaAUkrJv%2FOXKcGMXmJOnbhQXF%2FF3QsHJVnf87VhB3sSqoa%2Fte5X9jf3r7FdPzMgtC%2FccNOnTtwb3ZPb6ZWdOPLzh7amPD50%2F4z8%2F1T4uVE5ICkzt9ewxXYdBbfPqVx54ddvqMauTndXFnYfmBnY%2B2PS66ypEhs2ZFOn5IO08%2FZFvfn4cEPYCCD24nnuUzM5i0nFz7dF7vEkWvcMhVEQcNgOA3q0Y7xjlCatesVT2mALbtRUfM1P06cfm%2F%2BGZhgadoWD%2FjBMnyJuLfn%2Fkk%2BjrfHXnDOow4N5XP4gWAxDYDoDjxAtAwcr9tZ3PJCDa7Ga5MmImVlQ04%2F3EwqZSIqAJJVQc3NDQ1CG3TceObXI7CJWYU1Zc0qFDaSkAubaKudSxTZAEd4Q9TqPRrNP5kj22yognrLcC1z6ISzW5xSTOhATTljhb3v2det7Zv%2FeNGZnLt9g16B6h%2BaqNHZHv0yaP8TSV89QGJTzetxgMRqNOEkSdYHeYAGw2nY7KRje1xiKGfD5zeUyFyuJsRTUiQi0bdclYkzcER73JeuD5E2zOnB07dKSgy2icydpGlxLpQTZOcjW%2FXTo9NjcO5nNT4GQCoiASQHfca2tMVBjHYVRo6SRfJQGoCAfcdruDiz%2BgdwRo66xWHrfb4RPMPm5p0302p1UPDkUPuCLEt534Igi1bHVIVIgEzfAqepHh1bRDypryyOa1DVNmblnVsDhFl79rIuIAXcHhmYdfJicWLNj3cnSLcv%2Fzx9HjQmV99dDDg8e8%2BheuMZq2cnxdUBBOApeiri69x23S22xcWW02g%2FV2ytpSV72Jmrp7m4JG6NDUt95RNPXwJ%2Bq8d0XUSWM2dhSfU9EknsU6wSyDnOwzeLgds1GbYvxvmcVylSHFilGFxE4PYRT74fKaf%2FwOTZcvobX5lZ3PPffii88%2F10Cy2I%2FswyeR%2FAFNmMfeZ1f%2F8rfzH545p1j5vdyW1apU%2B6E8nOEzCrKsS3foHJkBwQhWq7siYrXprboUaHXDzMdZ0GLBqpaeO2hPAhMUr62Y%2BgRHrThpU8Niry7c%2BPBf%2F%2Bf7yzvryabGFc8%2B6xowcMRg1kUqqh9azT5h%2F1GcNr14%2BGTWl29fevfUeYVXHNNSlVexqMKW6qHJyT6bL8OfnOK1pqalecxOp8wtv80MFRHz%2F%2BY2VT5yJ1l63Ul6r3vQ0njtQyL9GzaIW15cvXnjnI8uf%2FfJ57P0SQsajObpM%2Fd9mHXp3YunT59birloRDO2a6z%2F9T38eEzFCzE9okGOpw1ywy6zXm8wEF4DsZrB4FYtg03rc2nRkaE5IY15ZEfvjt4eRQtfaahz6rrsFoaZNlk%2FfTbaJFSenDQjlrnS6XyW1twOtIplrqLzeuZaEfHYJKq%2Frj%2F5t8pdueG5kbsG25Hfpq50%2Bj%2Fe%2F%2BtjA%2FbXzF82%2BdmN88r%2FevSPL3Z6ftEjj7Yds%2BJ13jSzsaHnpjbt7h4Uvrdr2aAH%2ByzaXLm4R1W3O7p2KO71FCCkX%2FuG7BQrwKPWJlwu3jPioEKS1%2BC0OXtFLGGbVeaCkj1xU3kqIVjV5ONWqo52xVGXhtxKNuHyEMcdA5NSJuSy17ZurRiBXdlrw2vN8lyzHQeQZdU9%2F83mRWePngiAsIOvrjKhElx8fh86ZZPJ4DS4PSaz2aZzWdVV7TFqEbMS%2F4daVmW0rJcrhBY127EvX9TPNNQl6UP7Z7zztlAZLeMO6GMSvnpozV2Dj54hp7RcjgiVau%2BHAQ0ms6hHK6jhiJZl%2BNX0NFTicIYQt7ER%2B76ptuiMte%2FtYyP4oI%2F8o0cx9iPtrx6K5UpSgI%2FWinsblz4lNc3rsZipYBZ0yQ7ubnTuxCyYK7c2A1U2Z2Rlk8LhUHSq1BmbsoRPKeSfcBbp2qSdPsY%2B3jNxsk5nLHCcaHqjg0snBF7dzc6QBZ3OvHR%2FdK5QyUaz6j5l%2B4tJbXTp7trW9eRvHClACAIIOpXGzLBdFiVAUWlxQZ3RLaD1pnQ4ngmjmhUfYgteQT9m%2FJktwFVH2Cn27hFSQLxsGO6IfhU9jUdYD0AgfL1LfHw3z%2FsVMqnHK5jB7OBLO0UHfIJCVam1GRJo46KKOdrSUrLvuwFOnfnuS%2FtYTsWfl%2FStKu2xq3cXzuCVn9wf%2Bpn87mrGy5vtC03HtkAsZ6YPCZW3yJl7RUQr6npF0P2%2F5cz0oeZ%2FksHR0%2BTL6D5y31Q6eN685sPxrixetlPl5%2FYlJxu9AFbZRbmnpqlpTq09K3F7TdV%2FbpXcPJZTfEtxCddDvj7d3EK4ZLfHjedrpx794PFH58%2F49MClCxdM44aRZaRxE%2BaPjywnw0Zg4ebdS6Xj7NzZoCl4FhAvMxuZrfluorSo0RSABN%2BtlHzx8nKeJv3cDAiV7Ijaw5Oq4OwWDQ4H8UFqqsXiE2laujso0QScEzYFFXSDxYr7U7DPVNCV5Dj2pcRw4eKhDx%2BZ%2F9jjp45OnvHwVFIePIvB49LSPRvZ%2ByPvJcsjvOq5cRenZNg4zJn2qEvdpyXVQg6tAS%2FXAzu1JvkcpuoIdVglCaojEuTngS3pjfw38rSkOlOZT8nQVNOmbD9lKoU5HFg8t2TMUz2mRrqPyi95omTcisrHK%2FsMJSfuLFn%2FUKvsVinhsvqH%2FRkZSeoOPFuKdcJwrcuYCALV8343AGpSu4xtNPOWXcZcCQNO1%2FXt0PNKk%2FGszp3Ly0IVZPfVC2Lfxb3C5ZVhQDjK7fd5dVemazjNozNTahCARxo62irVJxKnwUz4SzDKgg%2B07k9ljt9sw2apra1KOJCldLR6NAOuqD89OWHNwpPHcdniPisKChY%2BtHv7My8sX%2FFdifTO%2Bxlov4LNXXfvoH7vstCH5z462QkQypUYSDzBpV4Zzk5y6s3mZI%2BdGD1OMS3dlORL6h%2FR%2B3xOcNr6RpxJIPa5uRWkRdPQzZ6Nm29lf5Lfinl2ypuduEqQxqONXTatnD0HG9jQblU05erVU2%2B99f%2FEEzUL%2B%2F1uGTs397MxS%2B7YtDz%2FxwtzsfO%2BU4psZqMkeIVtnHNByAibW0GmBSxtctLd7iwZeNSYn1gJchaVBku9il8r9co82Ja9clCxDnKwNLs0IXQ6VLV4%2BOLx8%2BeOq7t%2FUVXVgmF14%2BYuGrN42MKqeVtnzHh627QZW8mHj01aNmxh794Lhz059ZEFD%2FCHvfj7JZN%2BN2XbM1Onbd8BiscDEJT9Fw8MDrdzWGSj0WYS9URPTS6LW%2FYmGSwW2So5HBScbqsz3UmsTqvThG7JlATlWg%2B33RHrzL7lpjuGUOGj1uaovjBEKnH2HjYCJfY6dmGv72BvYGd%2BARu7j1wgZ5vZ3Ma57Ec08RslQBKsgaxUVYkkUR726QUqUDlmFjgmiYqtbgjFLYRiI5p%2FYebmnxVpXPuF1kupUABdeGdcdiE4pdy0Dj5fmkmCgNS13E07lbRqK%2Fn1%2FmCviN%2Btt%2FWK6OGGznh%2Fs4t9I39VVFmLztSUlwuwZdCiRC2l%2FKk33lG0dHD%2FqprTbw5%2FZmTxqMV9Z8yYvelw%2FcCqjf%2F%2B6K9P9H9t4KLl7R%2BcvmJR99W%2Ff6Ggbs3LPQbRnMF1WW0mD5q1NDW4IJjSKdy5prTH%2BklDl%2BfctXrZxm5rs9r27dWuY8e8oqHTRvWb0MVZPfnuKWXOMUCwWLTQ8eKH6u5TWpiTanKAI8lnpW495N90QCAhzctKeI%2FFxVnZpaXZWcU4pzgrq7Q0K6tYnFrUrl1RYUFBYfwOQGEM7xzvEdt5hxKeSwWDXmrNT0936a1esbSDZAKH1ZRuIuCwOYjJYXKk5AWcoRQByhNPBdhblgFRMxHuG90bnN2obu8KDjc3eYHM1py5DiFU2NqhNXTQOXMWz10weE77sRWvffDZq0880vHB5vXv4PB3les1tv2D02z76xP2YNvdezD3pT3s7N497JOXhMCeTTu3t%2F2dq9X3n575qfMjIXZI%2FQ7b%2Fu6brOGD0zj0rT%2BwD%2F%2BwB3P2xr8GQKCCushU8W1OdzqUhlt5pRQDokeJazP8rQwGh88D1EYJNTvSOakf3feGku9qVGpqG4xTV8ojfbXWGSt18iYUtdZJXEnDlt0%2FedPztWvHjM%2BbtnB%2BHauecmLUlAeov2bk6HHjJkhCcGFoRIcJs1jnI2OaCgRBqd8NhFraSI%2BCBGbICTupxI21YNTrBbMkWKwmUYegHGS5WbPRiyhjVuw2EAfPVEriM1kjLsUhtexzTK9lO0kQ1%2Fdk29mzvXB9yo23qh9EHfeDXhAhJWwiKKAki0J1RCSQr20nattixUJOXfM71Bv9Hhc%2BCdeuaV3LRAIbAAjXdUoX16r7wqGgF3iOLui5Zpn1JodXKu1gsnFoi9Pi0DmtjnQHAR63E4fT4bythikCCP22ZKVVoUS%2Bhp0Bqm51Fnr%2BL2UjHz5YPXLwfRNx36B%2Bl3eeXrwWxYbNVy%2F8n%2BpGrtwd7tNtSfXsNFaLo9jTdPZ89ub%2FpXB47YrkEiRpzW3r%2BoJ09UfBJLnmAoG5dBi5LJ5U83Z%2F2GIGp7L7nGwzHPNQhS3J7yWaAKe27LkytvA6c%2FfPn39g4Oqa%2Bfun195VPX3qwLunC2vmH9i%2FoGZlTdOCgdOm3l0zdZoiv%2FGASic8yQYLAMhwBiA6Q93NqCLLub9OUmpcstOLaHGCwAsItnQvZqjyadHEUVx6cz%2B0JMt%2Bsjy645vIQH91edGont0XbPj9msiaPXiIVI2%2FNHhk35IePbMLh0yeP6V6%2FZPPA4KflKlzBqAsnGkVRaCONIPUOstxn%2FMhJ%2BnrRKMzxUmcTl2yP92s88eVhKvIfTe2KDHRmKtlyd%2F2PpPpA3vsPbRzw4w1sz%2F8snbmA6Or7%2Bw%2BpUPP8mXDl2wVvqx%2BwJu%2F%2FYmVHWb32L5q0oAeXXrkBYa2LZl5056LnkfvwhP6xD0X5YAIN3pyAOvaT85494494cnCD133dnN3O1oEqNZDegiV4IHicLJoMOhs4HS6dC6%2BLeC2ulLMRKks6LWkMWHX6XqfaELKyMnTOhsGs13PNCxJNkz%2BZ%2F0Qg6GhAeewK698pKaNLwyr2caOScrsU1mzMEJygRWCYYcgIoBopDa7TidSq4jaQa%2F8RJkG7MortqVTEvILI6Z9PL1rzacn%2F%2Fov0pY1S3t%2FraYhx5WrKDBA2ED6Yh0dqvitsEECMJuofkCEQsyAJOqq2jzatUOseZR82L1nz%2B7xMwlZzIVNAOBQIge7xQhgUfrILXa7jtog%2F71CzQq3qDNoZYbSkOzBpo31obZtOw24a8BDQx4ubWIXRk7UT9S1Kckrtu%2BbHgSEvqQKP1d3kPleHwFKDSZuX2mGBGlK3sc5EGO7FpnEzw8MXLlQ8pQsvpNv4K4ld9471NP2%2FhFAoDt1kaPi26q3zgo7lONnEnBvHfMfbr3iP964r4XTTjgzJSYsWHJ0V%2F3qF3eu3%2FB8lN07fsKwYRMeGCZM3nHw8LPP7T%2Bw%2FTH%2Bb%2FYjjwCBau4hdsY9BF%2BZRr1AgMrEoJdu5R%2F4fBhELEUxdqM72c5aTGef1%2BIQVnvjPTGxCb3wfhzek01IufGW24c%2BAOIZzq8gnCYLACAbHrsGKMNHNDV6EPR%2FosTBA8ziYuCw7Tjs%2BThseQz2CwV2Ou3PYeV9xMZBVchkAMkvnuAQM34FFf4CxEZ9KD5qXmxUIBBiM2mNMBxSoY3Sba1zpQWwlbVVwCXk5EIqmmhqKj93lzEgkm2zG3tH7IEWecP9w%2B9rGZ4ohslCYnXDUm9MGF2J0ihbnJBfkf59Rs7q4vv9Y9X1ozq9%2BdbRTwPhSMnYbk2zOnXtXqqkXKHH1tZM7NOvw5ip2e0XjzjcWDEhMjB%2FyIz70jFvcU%2FeGRvmVKrdoPJ0bltbq9R1v%2FYaDgTdn4hNzIa84ltA1MLCGETS7SCOQSAGkdoSIv86xGsg3HKMrOsQE6CUQxiaKGmtgtyAkWIwIMNxKIN5QK4xAIk3MIIVnNA%2FfAdPM%2BwIOhPaRNEtuvROycm7kHm7iMHM7wabASUqOtByowkglmHm5an5G8bOiYau9y%2FSAF7vYVQ2zqR5UUeUXdxLDtMT0SMkNXqR9Lhag0cfURpetbZG%2FAvZr2jRHOZSOkc5ztkqzrMIAf55rM9N5VmbON8PqhxBs8aRmyFqoTwG4b4dxLFrV2MQyS0hsq5DTACHylWC%2FhhXgUA%2BgFip9id54Z5wod3t1glmAKcgCUk%2BrogS11erXC6%2FJJ%2BWL8jcIsuyoNfbqiJ6Kri17tNEXW55EDWhHZV7uVhLarxnM5QhVqpNqbM3bcJ9eBf%2Bbn%2F07S9xNlt4lIyKtaWSunqyntWxHSQcba5nhhhNYrmqS%2B3jurSmJdWx7jiVLwUx3sKsmLb5bgdRi4YYhP92EMegKQaR3RIiX4PgeGy65RhZ1yEmwMdxnW4b5z7CQrQJJmEDGMEX1st6ino0mXXgy0%2B0x2rMHLeOu0ewbTh8BHua7RiLw9m2MThS2DCa%2F3fbaLyfPTsaR%2BCIsWwrAOXzv877434CJ6RAQFkZnnRvmsAPExtcAA6rqFMCF0%2Ba32f2945YHTpRoDazQHnjnES1lrm3%2BFq4%2BYgL%2Fygm0lglwc7fxSoM1BZEj3qKzovZ1zsLv1479tEH9ykddGe2jnx04rGmh6Mjpu%2F9zy%2FNwbFk68SdWpPhmOUDNr2FDyl9dMMXV699l61D26bmvgOVZjp2ZRN9qTc7xVdOrI9LlUxpXLoVMfk7Nb7fDFELp2MQKbeDOAZzYhAZLSGyrkNMgA3xlRNMtEfCbHWUTvF5CmKjOFSQeO%2FfrHjvH9%2BpMOtFUbKDBB6vWeALiC8fs96sl2LdkZoVarkRrHVH8v9lCDcaJGexM%2BzzQ42NZ9GHnuYrO3mL5LvvUdvFy4zXWq%2FB6ei%2FV%2B5Y9yQAqv0oW6R0aK94ppxcMTUAXpMJUu25YkGhw5Hbrl12RaQd5LrV3S5tj%2Bvm0xpaZCBL2vZIQjWCo6Q2%2F2lnOTKUqE%2F1UYJv5ZAOKb36Lxv32p%2BOTCrfUnn27ofnjujZq094yVz2TcPf%2Fv7%2B58IPi6dX3OnPyC0L3b917LZdPTcF8w%2F0mVQxcHZN%2BcTisqHF1YMuXO0r7Nv3562c52pXkOTnPL8TACXovgLUVWlXOH6L57V56vN2t3t%2B7FP1eajFc%2FGz689fe%2BUW3xc%2FvP58whegruiOKsCNGRZehzj%2BcwyiTQwCqAIhKbtXOVDENWdkOJQLre3tedlIaF%2BWlJTe3ghi5y4pbYNtKyK%2BAqGgV6RD66BdECyZQU%2BxzqKriLgsNtBaO9R97viBxZsNL1corarUot3Jy%2F%2BqHSkOv7bLFExMz5TiAMaaVIb%2Fwg7NmPnUc0VVb4%2Ba%2F3xO8a6Hj%2F0reqcOO967tWbwurHswpy73lz03Mt7Jg1ZtfPpwzvoK7OWGon8BOY%2F%2ByddrEUqp%2Fie%2B4eMYP%2F9%2ByRWGwjyVpav5k5sXH9%2F5MVNo2XdQ6Sw4ektO5V1zXc4lW4kzreeMU%2BJFaqnVDtxVIn1ikl8vyqRVppEbn5e21993vp2z4%2F9rD7PafGcS1R7PsEQk1d7TaLX%2FgqAo9URXolZHHYXKGOgqI3xIgApTICovZYRgzDHIa79iUMMSoA4xl6IQTg0iG84RDrHQ4OYwA4CqBbHZ9d89VRlx1zyq6euqsJ5fsnUqhXwYN5jsTttkj7YRp9eETFSj91nsfLIR0%2B9LqSttY3QmLJw6%2F3b430QyITiIlAqxdlBMcj%2FlHpUk%2B6gRVqnV4kwil39%2Be%2FsK5T%2F9sUYXdkp9n3vr4YN77ll3OW%2Bpzc8v7NpC3vppe0vPUtC7Ev2FzR%2FcQmlWcInr25%2BcGHXgtrefZ6cNHMlm8b%2BtaaRbXjh4Aku21jXgbraqmOrzaLyJC1RNqNUrt0Vk%2F1HquySb%2Fe8drD6PPN2z4%2Bp45Ngi%2Bd8fu35a9%2Ff4vtcJtrzCSkx3Wh3fS2Ph2YhR9gJVO1CD4WTPAaDTSACKjsZTifKZjMqJ%2FQQ8tX1yhOfG8nPjUN6iccXE96Pp8ejezqVFHXsFCrqot3J8iefZP%2Fq3KW8Y1m4nPwYfwOUY3tEGCUsjvv7PvxEa3orl8vQ6iZn76u47uxt1M%2Bb2Kjnf3P2ZWVxBdGcfXw7QXSpTl4Si1SnX6L2X2yaUjNt%2BDw0Xd40o6Z25NzmV4rxTJ9pvAljfYjl95r63Iuxboyetf0XbEBQGjL6zuy7cMOvu8aRRcWffLRjTHRO6DzXjNjutSq5e2KSf0PVDI8mmZuf107VNOfWz4851OeBFs%2B5ZLXnE%2FyxtZarrfrYDqw6wr2xGWIjpKsAWu%2BI2t%2BVyXex0jOkFJfNZpfsrQMOsKeYPHqqT%2BNdjB7q5euvRZPnb3oYUWsXUUomXo%2FW9JUVbx7J4HugOKR748Sz333%2Fyd8fMwk63mSElTs38OYRzF9LmyID2Efsvwpjn83sV86KdcDaFQ1NOXQi58u3ce%2FZMxo1nF6Nmgn7Y%2FTmxejV%2BpuEyuv9TaJArLfsb%2BIw6gkU6UvxFLggHe4Ot0uSrE5nKpjtqZKY4bc6eDxpBaOR51hGGj%2BVwg8UUAc4b5zk4det2ia1fWVJO2TlvZF9aafq7NnSl1EYN4y9zJ7BYRgeN5RaonxdR8%2BRfs09fmXXEH%2Becs89LqzDiTgeF3ljSZmwlZ1m55QTGn6hNi32qy1yujAU0iAXCmBQuG26zkI8nqx8t7tVlk4oDOW1Mbbh0RHvSCKixdiunWg32pIyxcyKCIieFj7YoVjVRAeseV9R9a0q5rdyvYktTFkxnyvWs%2FNzup6pu8B%2BROnrBae6djz2%2BInL0aAOq4Y%2Fe8%2BQDVf9G154buPm5xvWCb3mrjKRjN%2B7vp4xEwtQh3q8Y%2Ba0KbPYz19MYDO5tw1mkLIPz3985rOPP%2F10x9NP7wBEE68Q7pH8YFF6wGWwWXmN0KJs3CSfKkwsE%2FIgzx1QzhIE0DR3nLfB89CcmUMWLuFF2u%2BWPJGTu3C%2Bt3TBoiIAgpP5iG2lhdp%2BkEMyxSpMejflw753u9KSrHUfcfpp29njxj46a8zY3z3YPRTq3rmsqJu4b9TM2lGjps8c3qFLlw78AkQdn%2Bk78TN1N5wPn%2BSzg2gC%2FnKrZc73En4mKLYb3o4vKU6BwvQ0olRTQpJEXXkDB%2FTOLAxZRpmn39tucP%2FKjIL21tHmqcL5rLZZnbvMquO3Tl1n1aldEci5Ff%2FFEyCCePMvngykw%2BK%2FeMIh5f8VUtYgffQ49lB7%2BR0HUNTpQenhP6WBBkscHEs5y%2BQZ1WF29yx63DMUTVyicNM3RdTpRZly061Rq55Od5RisXIk%2FbGKDPGARzmLjqmfcouq%2Fe4LkcAKAEQZizSpY1khOWwS0KwXbHbQUZP2M1%2Bx3pUgbyrhA%2FvjeGG9tcNjs9M6maNnb2B4FnXTeR1Tw7TF6DZldL0ZRcHuMIs2WRn9LW10DWe%2Fei9JQJ4ELUkjOsxJ7m6%2BQYbnXvbTY2Ow6D6FHh%2F7lTTBZZSVLOtqB8g4iCCHzeZK%2BdC1Y38ymWJ3vb5SBnteXszG7cAfyXB6EYzgPBD%2FURrIP3Wr6u%2BOqQ9OmDF94qRp5JtZj%2F9u9sx5C%2Ficym8TiHvgB8gGOwAEwU4c%2FM4nELJA1RaoJelK5ZPTbBAIlYikk0WuCInpvPM3e2CJ%2B16ASv2UpGqjUBAIkMRRWhRNSeqtK6QAyGYBkJXxUyYgEkE7ZYLxAQJIVjbPWkkXx4%2BZIJRzr1gnnuT0TQ2Xp3rTPZ5kI5Hl5NZ2wZDslYJtjN4kb%2F%2BILklMTUvtHyFp1rT0tPw0qqdJaUlpzsxM6BvJlJ0W3iDhg5ZN3bwwdMsfKruRW2ZQbuRlt9evdcorVpPyolGwuJT%2FdUDsCHUKOz4AWfRHQvA065Z1snHLxtW7%2FoddaNewgZANO4LY%2Bn9OPN%2BrQSxmD80rC7ed1%2FRm9%2FpuaEacl3tH9TwUsfXIpYPVzprl6o4iBXdYT0AUtDAtYc3y%2BEuJtrjkUwGEVlI650ylKvE%2B5ABA%2FHNTwuf9lc%2BBgItUcf0%2FAgZwQedwuks0ypTyaYjSqY%2BiqLe60l3E5aIWOZ1mxPuV70toergeGwR4g0v8V2eKi0otVJZJ05xV7GHcsHQO%2B0ESk9LSjDup6913x%2FKzVKdeX9THFGzb1v5TDDfpQ45bECoJ9%2B43cBcf0nCXXr%2FF8%2F43notvxJ6rVEnqc1TWG05X9cp%2BAAQRKWiHl2Knck80KgqljCAC4Aq1QvJpPHP6XaxCImp1FiUv6pwAUXstt2Ud9NrbHGJCAsQx9ufEKktsFtJBzroOMYF9EK%2FV%2BGK1mv8PflNJUQAAAAABAAAAARmahXJJOF8PPPUACQgAAAAAAMk1MYsAAAAAyehMTPua%2FdUJoghiAAAACQACAAAAAAAAeAFjYGRg4Oj9u4KBgXPN71n%2FqjkXAUVQwU0Ap6sHhAB4AW2SA6wYQRRF786%2B2d3atm3b9ldQ27atsG6D2mFt2zaC2ra2d%2FYbSU7u6C3OG7mIowAgGQFlKIBldiXM1CVQQRZiurMEffRtDLVOYqbqhBBSS%2Fohgnt9rG%2BooxYiTOXDMvUBGbnWixwgPUgnUoLMJCOj5n1IP3Oe1ImajzZpD0YOtxzG6rSALoOzOiUm6ps4K8NJPs6vc%2F4cZ1UBv4u85FoRnHWr4azjkRqYKFej8hP3eqCfDER61uyT44DbBzlkBTwZD8h8%2FsMabOD3ZmFWkAiUs5f4f2SFNZfv6iTPscW%2BjOHynEzEcLULuaQbivCdW5SDNcrx50uFYLzFHYotZl1umvNM1tgNWX%2BV%2F3gdebi3ThTgVEMWKYci4kHZhxBie3TYx3rHbGr%2BPdo7x4dIHTKe5DFn%2BO%2Fj%2BW2VnE3ooW6isf0LIUENvZs1gf%2FLHojJwdpplCP5gn%2F5gi26FoYa19ZVFOJ6Sxuoz%2Fq2Ti20IKVJdnqvYJwnhfPH%2F2f6YHoQF30aZaK9J8T026RxH5fA%2FWPW%2F8IW4zkpnIfoFLifGB86v0ffm5nbyRs5iaHR3hNBD0HSfTzoPugRM%2BhdN0x052KoHLBS0tdgpidAiEesDsgWYO73RWQz2LWIwjqnMe%2FuYISQtlbyf2NlT9Q9PoBcBnrO6I5ELoMeyHkNnIXGdv809H%2FDXNOTeAEc0jWMJFcQxvFnto%2F5LjEvHrdbmh2Kji9aPL4839TcKPNAa6mlZUyOmZk6lzbPJ3bo56%2F%2FCz%2BVaqqrat5rY8x7xnzxl3nvo%2B27jFnz8c%2FmI9Nmh2XBdMsilrBitsnD9rI8aiN5DI%2FjSftC9mIf9pMfIB4kHiI%2BhWfQY5aPAYYYYYwpcyfpMMX0aZzBWZzDeVygchGXcBlX8ApexWt4HW%2FgLbzNbnfwLt7DJ%2Fp0TX4%2BUucji1hCnY%2FU%2BcijVB7D46jzkb3Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhhjytxJOkwxfRpncBbncB4XqFzEJVzGFbyCV%2FEaXscbeAtvs9sdvIv3cjmftWavuWs2mg6byt3ooIsFOyx77Kos2kiWsIK%2FUVPDOjawiQmO4CgdxnAcJzClz2PVbNKsy2ZzvoncjQ66qE2kNpHaRJawgr9RU8M6NrCJCY6gNpFjOI4TmNIn36TNfGSH5RrssKtyN%2B59b410iF0sUFO0l2UJtY%2F8jU9rWMcGNjHBEUypf0z8mm7vZLvZaC%2FLzdhmV2XBvpBF25IlLJOvEFfRI%2BNjgCFGGGNK5Rs6Z7Ij%2F45yNzro4m9Ywzo2sIkJjuBj2ZnvLDdjGxntLLWzLGGZfIW4ih4ZHwMMMcIYUyq1s8xkl97bH0y3JkZyM36j%2F%2B58rvTQxwBDjDDGNzyVyX35Ccjd6KCLv2EN69jAJiY4go%2Flfr05F%2BUa7CCzGx10sYA9tiWLxCWs2BfyN%2BIa1rGBTUxwBEfpMIbjOIEpfdjHvGaTd9LJb0duRp2S1O1I3Y4sYZl8hbiKHhkfAwwxwhhTKt%2FQOZPfmY3%2F%2FSs3Y5tNpTpL9ZQeGR8DDDHCGN%2FwbCbdfHO5GbW51OZSm8sSlslXiKvokfExwBAjjDGlUpvLTBY0K5KbiDcT672SbXZY6k7lbnTQxQI1h%2B1FeZTKY3gcT2KvTWUf9pMZIB4kHiI%2BxcQzxGfpfA7P4wW8yG4eT%2FkYYIgRxvgb9TWsYwObmOAITlI%2Fxf7TOIOzOIfzuEDlIi7hMq7gFbyK1%2FA63sBbeJtvdwfv4j28zyaP8QmVL%2FimL%2FENJ5PJHt3RqtyMbbYlPfQxwBAjjPEN9ZksqkMqN6PuV7bZy7LDtuRudNDFwzx1FI%2FhcTzJp73Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhjjb1TWsI4NbGKCIzjJlCmcxhmcxTmcxwVcxCVcxhW8glfxGl7HG3gLbzPxDt7Fe%2FgY%2F%2Begvq0YCAEoCNa1n%2BKVyTUl3Q0uIhoe%2B3DnRfV7nXGOc5zjHOc4xznOcY5znOMc5zjHOc5xjnOc4xznOMc5znGOc5zjHOc4xznOcY5znOMc5zjHOc5xjnOc4xznOMc5znGOc5zjHOc4xznOcY5znOM8XZouTZemS1OAKcAUYAowBZgCTAHm3x31O7p3vNf5c1iXeBkEAQDFcbsJX0IqFBwK7tyEgkPC3R0K7hrXzsIhePPK%2F7c77jPM1yxSPua0WmuDzNcuNmuLtmq7sbyfsUu7De%2Fxu9fvvvDNfN3ioN9j5pq0ximd1hmd1TmlX7iky7qiq7qmG3pgXYd6pMd6oqd6pud6oZd6pdd6p%2Ff6oI%2F6pC%2FKSxvf9F0%2F1LFl1naRcwwzrAu7AHNarbW6oEu6rCu6qmu6ob9Y7xu%2BkbfHH1ZopCk25RVrhXKn4LCO6KiOGfvpd%2BR3is15xXmVWKGRptgaysQKpUwc1hEdVcpEysTI7xTbKHMcKzTSFDtCmVihkab4z0FdI0QQBAEUbRz6XLh3Lc7VcI%2FWN54IuxXFS97oH58%2BMBoclE1usbHHW77wlW985wcHHHLEMSecsUuPXMNRqfzib3pcllj5xd%2B0lSVW5nNIL3nF6389h%2BY5NG3Thja0oQ1taEMb2tCGNrQn%2BQwjrcwxM93gJre4Y89mvsdb3vGeD3zkE5%2F5wle%2B8Z0fHHDIEceccMaOX67wNz3747gObCQAQhCKdjlRzBVD5be7rwAmfOMQsUvPLj279OzSYBks49Ibl97In%2FHCuNDGO%2BNOW6qlWqqlWqqlWqqlWqqYUkwpphTzifnEfII92IM92IM92IM92IM92IM92I%2FD4%2FA4PA6Pw%2BPwODwOj8M%2Ff7kaaDXQyt7K3mqglcCVwNVAq4FWA60GWglZCVkJWQlZCVkJWQlZDbQyqhpoNdAPh3NAwCAAwwDM%2B7b2sg8kCjIO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO47AO67AO67AO67AO67AO67AO67AO67AO67AO67AO67AO63AO53AO53AO53AO53AO53AO53AO53AO53AO53AO53AO5xCHOMQhDnGIQxziEIc4xCEOcYhDHOIQhzjEIQ5xiEMd6lCHOtShDnWoQx3qUIc61KEOdahDHepQhzrUoQ6%2Fh%2BP6RpIjiKEoyOPvCARUoK9LctP5ZqXTop7q%2F6H%2F0H%2B4P9yfPz82bdm2Y9ee%2FT355bS3%2FdivDW9reFtDb4beDL0ZejP0ZujN0JuhN0Nvht4MvRl6M%2FRm6M3w1of3PVnJSlaykpWsZCUrWclKVrKSlaxkJStZySpWsYpVrGIVq1jFKlaxilWsYhWrWMUqVrGa1axmNatZzWpWs5rVrGY1q1nNalazmtWsYQ1rWMMa1rCGNaxhDWtYwxrWsIY1rGENa1nLWtaylrWsZS1rWcta1rKWtaxlLWtZyzrWsY51rGMd61jHOtaxjnWsYx3rWMc61rEeTf1o6kdTP%2F84rpMqCKAYhmH8Cfy2JjuLCPiYPDH1Y%2BrH1I%2BpH1M%2Fpn5M%2FZh6FEZhFEZhFEZhFEZhFEZhFFZhFVZhFVZhFVZhFVZhFVbhFE7hFE7hFE7hFE7hFE7hFCKgCChPHQFlc7I52ZxsTgQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQti5bl63L1mXrsnXZuggoAoqAIqAIKAKKgCKgCCgCioAioAgoAoqAIqAIKAKKgCKgCCgCyt5GQBFQBPTlwD7OEIaBKAxSOrmJVZa2TsJcwJ6r0%2F%2B9sBOGnTDshOF%2BDndyXG7k7vfh9%2Bn35fft978Thp2wKuqqqKtarmq58cYbb7zzzjvvfPDBBx988sknn3zxxRdfPHnyVPip8FPhp8JPhZ8KP78czLdxBDAMAMFc%2FbdAk4AERoMS5CpQOW82uWyPHexkJzvZyU52spOd7GQnu9jFLnaxi13sYhe72MVudrOb3exmN7vZzW52s8EGG2ywwQYbbLDBBnvZy172spe97GUve9nLJptssskmm2yyySabbLHFFltsscUWW2yxxX6%2B7P%2BrH%2Fqtf6%2B2Z3u2Z3u2Z3u2Z3u2Z3s%2BO66jKoYBGASA%2FiUFeLO2tqfgvhIgVkOshvj%2F8f%2FjF8VqiL8dqyG%2Bd4klllhiiSWWWGKJJY444ogjjjjiiCOO%2BPua0gPv7paRAHgBLcEDFOsGAADAurFtJw%2Fbt23btm3btm3btm3btq27UCik%2F1sq1CH0I9wl%2FDTSONInsjxyKcpGc0VrRNtGx0dXRF%2FFpFiV2KbYl3j%2B%2BJz4vkTaxKjEgcSXpJzMm6yb3ALkAnoCV0ARLAcOBjdCAJQJqgWNhJZDT2EbbgTPhz8h%2BZFJyDbkFSqgVdGh6Br0BhbFFCwHVhNrj43DXuH58V74WcIkahHvyDRkLXIGeY18SxWl%2BlMHaIVuSc%2Bh3zHpmNbMJOYuy7DF2E7sFvYMJ3Clf%2B3DHecNvjm%2Fm38g1BYmioxYS5wqbhZ3S0Wl2tJkab50U04pl5CHy9vlmwqlZFJaK4uVnco55YlaUK2kNla7qEPV6epi9aMW01jN0zJohbRZ2mptj3ZWu6e91wE9vT5LX63v0c%2Fq9%2FUPRiZjprHS2GmcNG4ar8yIOcycZC4yN5mHzMvmE%2FOrhVq6NcCaYC2wNlgHrAvWQ%2Ft%2Fe6w9115r77XP2fecrE4xp65zwM3lNnZnuBfdZ17E071sXj6vrTfP2%2BHd8F74lJ%2FeL%2BHv86%2F6D%2F23Qfogf1A%2BqB10CAYGk4LFwdaf2C%2BJfQAAAAABAAAA3QCKABYAVgAFAAIAEAAvAFwAAAEOAPgAAwABeAFljgNuBEAUhr%2FajBr3AHVY27btds0L7MH3Wysz897PZIAO7mihqbWLJoahiJvpl%2BWxc4HRIm6tyrQxwkMRtzNIooj7uSDDMRE%2BCdk859Ud50z%2BTZKAPMaqyjsm%2BHDGzI37GlqiNTu%2Ftj7E00x5rrBBXDWMWdUJdMrtUveHhCfCHJOeNB4m9CK%2Bd91PWZgY37oBfov%2FiTvjKgfsss4mR5w7x5kxPZUFNtEoQ3gBbMEDjJYBAADQ9%2F3nu2zbtm3b5p9t17JdQ7Zt21zmvGXXvJrZe0LA37Cw%2F3lDEBISIVKUaDFixYmXIJHEkkgqmeRSSCmV1NJIK530Msgok8yyyCqb7HLIKZfc8sgrn%2FwKKKiwIooqprgSSiqltDLKKqe8CiqqpLIqqqqmuhpqqqW2Ouqqp74GGmqksSaaaqa5FlpqpbU22mqnvQ466qSzLrrqprs9NpthprNWeWeWReZba6ctQYR5QaTplvvhp4VWm%2BOyt75bZ5fffvljk71uum6fHnpaopfbervhlvfCHnngof36%2BGappx57oq%2BPPpurv34GGGSgwTYYYpihhhthlJFGG%2BODscYbZ4JJJjphoykmm2qaT7445ZkDDnrujRcOOeyY46444qirZtvtnPPOBFG%2BBtFBTBAbxAXxQYJC7rvjrnv%2FxpJXmpPDXpqXaWDg6MKZX5ZaVJycX5TK4lpalA8SdnMyMITSRjxp%2BaVFxaUFqUWZ%2BUVQQWMobcKUlgYAHQ14sAAAeAFNSzVaxFAQfhP9tprgntWkeR2PGvd1GRwqaiyhxd1bTpGXbm%2FBPdAbrFaMzy%2BT75H4YoxiYFN0UaWoDWhP2IGtZtNuNJMW0fS8E3XHLHJEiga66lFTq0cNtR5dXhLRpSbXJTpJB5U00XSrgOqEGqjqwvxA9GsekiJBw2KIekUPdQCSJZAQ86hE8QMVxDoqhgKMQDDaZ6csYH9Msxic9YIOVXgLK2XO01WzXkrLSGFTwp10yq05WdyQxp1ktLG5FgK8rF8%2FP7PpkbQcLa%2FJ2Mh6Wu42D2sk7GXT657H%2BY7nH%2FNW%2BNzz%2Bf9ov%2F07DXE7QQYAAA%3D%3D%29%20format%28%22woff%22%29%7D%40font%2Dface%7Bfont%2Dfamily%3A%22Open%20Sans%22%3Bfont%2Dstyle%3Anormal%3Bfont%2Dweight%3A700%3Bsrc%3Alocal%28%22Open%20Sans%20Bold%22%29%2Clocal%28%22OpenSans%2DBold%22%29%2Curl%28data%3Aapplication%2Ffont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFIkABIAAAAAjFQAAQABAAAAAAAAAAAAAAAAAAAAAAAAAABHREVGAAABlAAAABYAAAAWABAA3UdQT1MAAAGsAAAADAAAAAwAFQAKR1NVQgAAAbgAAABZAAAAdN3O3ptPUy8yAAACFAAAAGAAAABgonWhGGNtYXAAAAJ0AAAAmAAAAMyvDbOdY3Z0IAAAAwwAAABdAAAAqhMtGpRmcGdtAAADbAAABKQAAAfgu3OkdWdhc3AAAAgQAAAADAAAAAwACAAbZ2x5ZgAACBwAADiOAABYHAyUF61oZWFkAABArAAAADYAAAA29%2BHHDmhoZWEAAEDkAAAAHwAAACQOKQeIaG10eAAAQQQAAAICAAADbOuUTaVrZXJuAABDCAAAChcAAB6Qo%2Buk42xvY2EAAE0gAAABugAAAbyyH8b%2FbWF4cAAATtwAAAAgAAAAIAJoAh9uYW1lAABO%2FAAAALcAAAFcGJAzWHBvc3QAAE%2B0AAABhgAAAiiYDmoRcHJlcAAAUTwAAADnAAAA%2BMgJ%2FGsAAQAAAAwAAAAAAAAAAgABAAAA3AABAAAAAQAAAAoACgAKAAB4AR3HNcJBAQDA8d%2BrLzDatEXOrqDd4S2ayUX1beTyDwEyyrqCbXrY%2BxPD8ylAsF0tUn%2F4nlj89Z9A7%2BtETl5RXdNNZGDm%2BvXYXWjgLDRzEhoLBAYv0%2F0NHAAAAAADBQ8CvAAFAAgFmgUzAAABHwWaBTMAAAPRAGYB%2FAgCAgsIBgMFBAICBOAAAu9AACBbAAAAKAAAAAAxQVNDACAAIP%2F9Bh%2F%2BFACECI0CWCAAAZ8AAAAABF4FtgAAACAAA3gBY2BgYGRgBmIGBh4GFoYDQFqHQYGBBcjzYPBkqGM4zXCe4T%2BjIWMw0zGmW0x3FEQUpBTkFJQU1BSsFFwUShTWKAn9%2Fw%2FUpQBU7cWwgOEMwwWg6iCoamEFCQUZsGpLhOr%2Fjxn6%2Fz%2F6f5CB9%2F%2Fe%2Fz3%2Fc%2F7%2B%2Bvv877MHGx6sfbDmwcoHyx5MedD9IOGByr39QHeRAABARzfieAFjE2EQZ2Bg3QYkS1m3sZ5lQAEscUDxagaG%2F29APAT5TwRIgnSJ%2Fpny%2F%2FW%2F%2Fv8P%2Fu0Bigj9C2MgC3BAqKcM3xgZGLUZLjNsYmQCsoGY4S3DfYZNDAyMIQAKyCHTAAAAeAGNVEd320YQ3oUaqwO66gUpi6wpN9K9V4QEYCquKnxvoTRA7VE5%2BZLemEvKyvkvA%2BtC%2BeRj6m9Iv0VH5%2BrMLEiml1XhzPdNn3n0rj6%2FEKn2%2FNzszO1bN29cv%2FbcdOtqGPjNxrPelcuXLl44f%2B7smdOnjh09crhe279vqrpXPuM%2BPbmzYj%2B2rVws5HMT42OjIxZnNQE8DmCkKiphIgOZtOo1EUx2%2FHotkGEMIhGAH6NTstUykExAxAKmEqSGMFl6aLn6J0svs%2FSGltwWF9lFSiEFfO1L0eMLMwrlT30ZCdgy8g2S0cMoZVRcFz1MVVStCCB8raOD2Md4abHQlM2VQr3G0kIRxSJKsF%2FeSfn%2By9wI1v7gfGqxXBmDUKdBsgy3Z1TgO64b1WvTsE36hmJNExLGmzBhQoo1Kp2ti7T2QN%2Ft2WwxPlRalsvJCwpGEvTVI4HWH0HlEByQPhx468dJ7HwFatIP4BBFvTY7zHPtt5Qcxqq2FPohw3bk1s9%2FRJI%2BMl61HzISwWoCn1UuPSfEWWsdShHqWCe9R91FKWyp01JJ3wlw3Oy2Ao74%2FXUHwrsR2HGHn4%2F6rYez12DHzPMKrGooOgki%2BHtFumcdtzK0uf1PNMOxwDhN2HVpDOs9jy2iAt0ZlemCLTr3mHfkUARWTMyDAbOrTUx3wAzdY%2BniaOaUhtHq9LIMcOLrCXQXQSSv0GKkDdt%2BcVypt1fEuSORsRUwgrZrAsamYJy8fu%2BAd0Mu2iYFhexjy9FIVLaLcxLDUJxABnH%2F97XOJAYQOOjWoewQ5hV4Pgpe0t9YkB49gh5JjAtb880y4Yi8AztlY7hdKitYm1PGpe8GO5vA4qW%2BFxwJfMosAk2X9n9X2cVVfnA36pzHNHJGbbITj75NTwpn4wQ7ySKfAu9u4kVOBVotr8LTsbMMIl4VynHBizBEJNVKBAfMNA9867j0InNX8%2BranLw2s6DOmqIHBIbDfQR%2FCiOVk4XBY4VcNSeU5YxEaGgjIEIUZOMi%2FoeJag4mEB3PUOweCaG4wwbWWAYcEMGKn9mR%2FsegY3R6zdYg2jipGKfZctzINQ%2FvxkJa9BOjR44W0OpTKAskcnjLTcKyuU%2FSVIWSKzKSHQHebYW9mfGYjfSHYfbT3%2Bv877XhsIwGzEUaleEwITyE2u%2F0q0Yfqq0%2F0dMDWuicvDanKbjsB2RY%2BTQwOnfvbMUhiNPFyDCRwhZhdjE69Ty6FjoOoeX0spZz6qKxxu%2Bed523KNd2do1fm2%2FUa6nFGqnkH8%2BkHv94bkFt2oyJj%2BfVPYtbzbgRpXuRU5uCMc%2BgFqEIGkWQQpFmUckZe2fTY6xr2FEDGH2px5nBcgOMs6WelWF2lmiKEiFjITOaMd7AehSxXIZ1DWZeymhkXmHMy3l5r2SVLSflBN1D5D5nLM%2FZRomXuZOi16yBe7yb5j0ns%2BiihRdlFbd%2FS91eUBslhm7mPyZq0MNzmezgspUUgVimQ3kn6ug48mntu3E1%2BMuBy8u4JnkZCxkvQUGuNKAoG4RfIfxKho8TPoEnyndzdO%2Fi7m8Dpwt4XrnSBvH45462t2hTEX4Bafun%2Bq8jIzK%2FAAEAAgAIAAr%2F%2FwAPeAF8egd8lFXW9zn3PmX6PNMnPZNJMRRDMkzmDYgZMRRDCEmMMUPJIgZEepHlRYyIiNhRUdYuS4ksy9reLDYsdOmLLC%2FLy7L2CgKrrCJkLt%2B9T2YyYPl%2BD8804J5zT%2Fn%2FzznPBQKbACSTvAEoqJAdtUhUJpQYjBJVAUrKSkIOJ1ZUOEKOUGkfV8ARiPB7E72m87WJZF58ibzhXPVE6QsAAnMufI4H9XXsUBh1UpOJSJLmQNWqNsasLkKhsrKnA%2FT1HCF9PQzSAPYtD5V5PW4lmFeIK86EcCRbObLp2lGjGxpH4%2Bf0wLkjjU3NDSNGxYSMxbSdDkzomhE1SypQalCISvniob1lDuTL7injC1O%2BMr%2FxmeJtxeRt%2FiJviJ8mmrjFOr0BJCZ3QAbkQFu0ypCZ45HcRqNJQkiT%2FLKsOO02s2Ryudze7CxVUnw%2Bv9%2BtmKTcgEEymzPRlgN2e5rHaeOXyeeiisnJFagMOSsqSkr45kL8Tr450SfM5%2Fy1V66pGvBwTV1BcYcDEX67QjQkbo8cigTplyVI2OHh%2F6zdXHO4%2BiR6SjoxMPzo8O21h2tPx7O2lmylNV%2FtY5Nwubj3fXUA%2F8BuFveBr74CoNB84V6pSnFCLhRCL7g7OijfR7Oy3FalR49AcXYRFBnsQUcgkAYO6H15j6wiAGu%2BI%2BAo6pleFDAWKJZMX%2BaImNunWOpiskIVH796ewAqEzvV9gqX9nQ4Qd8S%2F1V%2FScSM%2FrmsTP9FfNUNIvzuVlRPMFxY5PB6fY6iwsJw3%2FJIOOTx%2BlT%2BWzaR%2BxYWecrR7fWFFanqi%2F33nnn9%2Bv%2BMvXr7mk933%2Fv5Gy3PrN6yZjg7WFV1D5s2oGoh7nx%2Bk2vvTrkeDT0HKlieXvvakkfecj%2F5uKnhm6iNHRk27a6bevTL%2BclH3ulVkX3cBTJUXjip%2FCDvBiO4wQ95PB6qo%2Flen0%2BWTRpofo8nLa04mB3UgpeX5PbMLEzzKz4%2FtapOlXt5a1llpXhN7FF7r8zJ37o%2FiN15Q2XhvsE8RdajOqwFyrwFGETXr%2F0F9u9dNnZsWW9869X1azow9qe%2Fkpc7D52mPRf%2F%2FHcJFrR1npvf9sWX336EO7%2F9x7lqeUMn6frt8y%2B%2F%2FZD%2FJjzecOGEAnxvWdzjpTAzWtHbGjRhlhdMXqvLVZSWnl5kpSoChLJVtcwXSPea8vNLSrT0dEnTegyPaZIUqIlJLnSKhAV%2FpfBuhb9EbE53bYVIM%2F3S45hfiZ%2B7th8IFPHN5QuXcscms1vF8kiAZ2qBsEEEFQX7FnJDeNy%2B8nIF2JLZ7%2F77DPtk3rJhVV9vefPD%2B57CzCF98cr82%2Bs631s4%2FvbxrKPf1XjT0Iqrh%2F%2BuafTMxR%2B9e%2B%2BmxqZnxzzx5l8embstxo7PeX0Ju3DjoqYJA7C611hyd3hAtH%2FzpD5jAAVm4DM6Zjj5C5WIAIu9DuxCIB0kuvEBAKGBbSTz%2BL%2B3Qm7UZjaZqCSBqtrN%2BVQgmAMTua3joeaMhBTicTt9wULS8PSj5x58eNk9Z5c9RUrRiPte3MTKzvyHRd5Yh9vFygP4yq3JlfmyfHG%2Bso1LyP%2F5yqgRNVjuDPclRSGvk7Q%2B%2FejZJY89%2FOA5sTT7ifVb%2Bzru%2FOEM7tv0EisFhErSJGUpbrBBOOo3ms0ypVZUVc0umUyqilarYrDxpN1aJrKQuykJwvwz%2FyPMUOCTXSqlRa6CiEzJy8U4J8DWf%2FjpM%2FeeOMZeLMKpxYqbPTyx088Oz8MKtnMuFqefm4gzAKEZPpUqpG1g5qivGRSjkSKAxWo2giJRKOFCysqS4vjNhQXCAa4Bxz1HEI%2ByNlx0FBextqOk9SjezW49yhaIHbGzuBtOggKe1wgFWVapDCXbdSNt5ghfoNCgMxLA3X1v%2B%2BdV%2Beg%2FvIsdR9MJYWVcS5rISqDg%2BCuVQQLkSiTc7QoHPANIGq49dw6wi7GwgmvujZoUrrSRNsaMLqjsmfjnkYu4aU6SlJZ28xECNyqt0mMrM2pBricBidueiNS5iDcRA0ir4h%2By4yQgGJP%2FDwLVF05IQ%2BW9XLoPLou6LYoTFPCnGT0jYkaV2kfEaBok8y%2B1kkYCeeDQnIEyQI2nUrlDE3kkDT3PzsfZhXMoxZHGw2OmTRl7w%2BSpLeQoW8gexttwNi7C6ewO9hD7%2FusTaELr8eOAMA%2BA1nJtTNAj6jJKAAZEs8WgqihJRgX9wJHOkYoXkf8iwR2RiKKqRRiitWw3lYdnr30cDzNae%2F8Tw%2F1L3sS5gFALINXpKDQgmp1pQxW86M3O8aoqMTlNtTGnSjATM2tjXEgCYfS3hKyuCkFHkzBeScI6WKhFVxLuD%2BEQLt4TkOo6CU5f1drrhvrrVly%2FdspDayfe%2B8EtQx7fuJG0HcbZLyyc1r%2B5qXbojtE1xa0dt4x%2F5c31r9hA6MYtP5DrVgijoiV5Po6KKs3MBOCVStFlgez8bG57v8%2Fvq4tZ%2FGilfr8pX7VqJm1EzJQGeg3j5%2FxX8ruWMbrG4oduFyXxMEFyQlkpkMeJTvhKbCMY1j%2Fo2ykPlEmSr335KxvYPvbZydev29P65KNrX58%2Bc92zfxv6%2BKil76PnU1Sl6fe%2Bl694%2F%2FzIweMjUO1ZPnH2TU3fxqa09%2Bl%2F6OHXAQgEAaSZuhddMDiaZ1epkRAzpTKAxyVzrnGh7JLreGi7qF1VqO5WvoGQ0DwF584uo3cpz4sCBzc9T9SAQPKgoqI082X2QfxhshCzXmZ5Jmoo6MvOYAk7gCWH6cudN5%2B98oSroZZNBoRWbuEw1ygDmqI9OZ36aJrbbTPYqIFmZrldRpdFA27ONADF4%2FHXxjyKYhkRU9LgYsIJ6e%2BpgHAkGUjkgUhLSBg2N9w3IMwpylMaKScT%2Fn6efcC%2BPLN8xActmMGOhu%2B4bH6EpsV%2FyAgOoO0n9%2F%2BHnR2B5h7hr455LAPJ1%2Bwc%2B1i1AYGhXOs6eQf4IR%2BuigYUp8WSlweZTnAWFNpz6mJ2u4d60kbEPGnUwENEvUTbVJbqTCjIAQJlPo8IXEUNdQEJcCAhMvd%2Fgvy8Q3E6TmsbErv%2B%2BZ2tRuuN%2F7f1X%2BzsNyv%2FvYhoN066sbVlcRuZiq%2FiWvuP7rEb%2F7LuhyPfsFPLMffdxfMnz7%2B1fu5qEc0RPdM6QIHLo14FgCDKRFYNMiWU1MaoAsLfupYpQwobhpDby4OfkoJ4iZQWPyy9jNLm8wLSdEtUyzvBB3lwOVwbLXYqnl6U%2Bo3%2BQo%2FHnp1ttBtL%2BihOZyBQXGwBS0Z9zJIGwfoYXGwTYYlLnVeWdKFwoCSqAj0%2FLqoW8qk7kShFiku3kK9cfCPVHyDedt%2FqpeyLL06zk4uXtU1DyfXfE2fPmrng0Ccjbhg%2Bflxtq7zz3ZUzXhrU%2FO6sjqN73mrbXD2iY%2FKzm89vbBp7Y%2F3VcwaOI3vqq674XdnlYysH1Ym8GajvcgekQQFURnOzZJfFEgyCCwqLtNy6mKZRrzd9RMyrUkMdR%2BNfdbfu7DIBzCIaw0J5kS16edcXuNOdBXwbyU1J1ewxtvTOqxtHP%2F3%2BJIOl3xOz3v0nmr9Y%2Bf2d8VNjp4xrbbm7jQ5mdazJdtYzasufW2r%2B83%2FH0fEE%2B3DTXbdNum1%2BHfd4stOSZuvMURh1OXnyAPjtnsaYXeumMPAnaOwXTOb4NVYT72PqU%2BxG7xcf6mPNQAQX6%2FIUcHKmcllV1UUlBRXFZdIaYyZNUjgzJ6Rpm8u6mKrApzM0vUgYbrTrbF2SFHbS18Xa5GhSmF5P7JYqZODSiqKajIK%2FVYNEqQIEZRigFxShVFwJURhGD6JU0ZlDP443kvW7ccNSPH2abWFfCns140peoYDeNeZHHSqlRgkMcp00ViJSV30QKhkjagSue7JMQH4304%2FFkrTgKC9Tjh69VLueUScBrhFPNVAUJJTKEur6Ce0u1dCFuorNZH28UayJb2IaDjjNtKWsWmioXPicrpB365FYFc3LTU9PA%2BB2dlqdhUV2QCMFCAazGmNBl900ImaXkg7mVCR4KJVkyfpRJFR5F86oRckaXOFoe0m%2F7W6YevPVY5uWvzf1w3P7vm99YGyIHU4139VjH6ob1tLvqqpxR9u2r5m2onVI9RVXsHUX9eMTLkxQdnCc6AuVEIv2VCsq3G5XOGzt77rMZaWBtEDvNOgN0au8hkhEMg3QTPzqkVUq5feAklS7rOucMleiPU7ivc6kQtuiYCqrfNTdlVF8fxLxCKgtj3iUQC44%2BjrzOa06UfyDSESH3x2j106vnpWmTXnhlT1o%2BUfT%2Fqt9NdGau79%2FZhf73%2BexCP2T2Pz%2FZefZXez6I%2FgIyv%2FEkRs7Yf3IFpM1FG27n5x%2B%2BNQ9Q%2FotPPTGQSQBH%2FPd%2F9Yf%2Fvjjne1sx152gh0p6f3eKHwYW3%2FEZZ93sA627uCCpcfMzwj7AIC8WN4IKljh6miAWKkBQZHNZgqip6CSZLOSmpjVSs0yBZocIpTouZRiZWGortKL8gsDiITjI5Uik%2BLHJ7FXiYTziRJnywoMgWdwNFstbzxXRcbikdvy72CqiPvXAaQznI%2Ft4Idczsm9VLdbktKzzeY83vfZ7QGDlqalDY9ZNLRSTbODPb0mZneCvyYG9BLcSxY9KQVDSTe5ArmSp7voCQYwWfE4HPqnwOu4AyOYNn%2FC%2FfPZh2fjx7C84%2FaZ8xev2nXHraxT3vDKpkVrHaacdQ%2B%2B%2FxGdXTuy8Zr4NrZo3PgNgDCXI%2FUBnh9eKI36VZeLN%2BNWnxscUBNzSKpskmtiJleyNBOvSfVEKuQRD2%2B0Iw4l2BUdoTI%2BZiikBS%2B9h9OfOtrxL7aJvdiOkQOHDrc2tEs72U%2FHmW846xyGi3DSZ3j9azd1FvUDImwoz%2BE2NIBd1OtGAIdVkjTZUhOTqWTlLbMzaamUcEELnGVzAbVA0BHKleew8ew2Ng534wR8gL3Dxq5ZjO%2FxGuQP7A55A7ubrcHDnUMBdY8RLs0Mg6L5BgnAqphMiBbFWBOzKNxLAnII3zehaKqJofOXXkp5iCsitPAkbol0bqDV8RN4ijmIm4tl7zK2BLqkUsalGqFvNN1AqVkBQDQJoSl5QlZS0MVSLhaCX7P9dHD8OHKMEwKWxLu8KBdxL6ZDTbQo3e8nNquVEFemy2DIsGlmjQdbOr9BNkt%2Br%2BzlsmTu1FB3wd0z5VlnstgW8BBwKLpv9YJL5RlPdMKNOALkU1L14E93sr%2ByVfg43vTxgZtW%2FGXnd1vevKGVHafhuOnyAlyMU3AcPjDybB377rOT591Y2mUHeYJu%2FUg004jIzW%2BQJFm2GGhNrMaABoNsUijK3QmbMnfKFN2XPIHtjr%2FNdmE5uRrDZG78Xj5t2EIGAOCFiawBT%2BozgRw%2BbSAGXiPLwM0MRsr79e4NCw4Rxa5IJL6kRnJurq0bOKEZy79hDV4k7gVL5JHn1l4AdgYS%2BtfxVS0wMJpjIcRkNiOAzUBl2cq%2FUrNZoXwP3VtwpgBXF1eWAOXEQAdVfSMRDKBcx1awhYvEZm7FB7CZETKxJf4D39CN6%2FHf8XkJ6VIlly6LPUkqBVCQArccJKJUl6GXoPq6r3PD1MsbzldfSPxvRcyR3dAvmukGo9nI1bbxUPHKisdJjEQxq9QGilBcN36X0mUp6hA6Y9DpEYujXuXykscVRBpkK4wudhzbcaSC07GdfUgtRrZEms9Wzok3cw1WSi3nqklH6R3oPr8kYcedOm6WR9NMYETFagVwUFlRVM1MVW5RVLtHv11adI%2FEnAKwL1KEcM%2FJO9nv43fpSiwh81U7%2BqQGdrQtXseFv4FZvycdQPQ8%2BVKfDHgE0jgAfBZF8RpdNTGjRO01Mer6daQROSBexQQy16Hxpkj%2Bkj3BXubXE3gz1vNr%2FPlDb76Bs9nSNzaSY%2BxxdivejVP5tZCj0mP%2FOYvf4smfoAvtpHU62rkEFkhGowdsNrvdbQXBV3ZNM9TENGr%2FTSzoRn%2FZLXHoEyAo4ckJSx%2Bau%2BBBspEdYacX8yA6iCb0UGXmlKkTd504Fz8rb%2FgchAXYat0CdkjjEZynUFmSCDVIJg9AhmYypVOVEwBXRFK5UWSV22N7Ev4uHU92T9OQe%2BLX7PPaKziWzWZnfL9pJMZW1bO5OPS3LSUP1S3lg9poocvnk0ySppm8njQw8cTzu4wWMA6PAZgtFm40C%2FWaRcikzJbSWfPzuXKqQ0sxKLdfgl3BF0A82brsgaXLW7gB12EPzH7oTqxuZWvZKtp73M0Tm%2BPz4vvlDUeOLdxZwVwPk1KRVS2cQX0ce4s4n%2BRlpKcHICC7LeCGy4rdAbAELNlGX3ZNzCdRYyq%2BuhvwVHHWrRpn%2BIvGGoVFl%2FMhDadWMcJP9LZen9cr%2Bdin7JuOx%2FZeN2FqnzFL7767DtWvZu2f2TrnyermlsJrn977BC7f%2Flkz5g4srx3e8%2Borqypveeqmzf8qL%2F13n8KGgcUDKqrHbRP6FwNIYiqrimdLCgBFNBhVKlHOuxSdv3y2lARgcoLtYrOlOn53IGEMEF7k%2BdXC13JCQdThQHSbDQaX08hRhsdSYuuXVBAOtyLx4BHI6%2B6CYLnlEXbyLfYFex%2FD9zz7BAf0ztqVZ%2B7EwHn6YufCPz33%2FDraBqjXfyHBI2K%2BRonRKAOiVZYkC3BDJ%2Bq9VNpUJOaj%2BsXtVx6h57CC2dmLTMMKdPlKFXO0a4DY%2BdTwvZeN%2FqJLhrqRy8gSsx%2BT0e52yQh%2Bv2ynlszMrKwci9mcnemSzdRvt6NJiOSi%2BEtCbgo1UyM3WkiKOMKJUtMlGvCIi78nPihD2fPbzWFJ6WPdxqngfix9q9Sr9HQdwoJDth5mUy%2Fnm1hKoRixV%2FmpUJxwVT85trLi1EAa6twb%2BaS%2B9uuhNBsStmnSbVMVzTXLnPpUo6oYTYpJ0C2VLGYDkWXJqFCUkhDL9evG%2BooUZ3VpjZj8Izex59h6fnXg56wfNmF%2FDGMtC5Pi%2BGHyHdka%2F47Y4j27dJCYyF2B7wZVlZEQEERvNFFF4QqiSgVDdslOjEH5Z65AarLLowIDZAGWchEZbA%2FLwDo6mozsXBTfQUqoXleVJiZ0RugfzTJISFUVEExmlYuSRP1I0IAGUcZdOgxNpl1qFqqPbALSzPPvkbfjTVJ6vIrs30m%2FRXi%2F0ykkLWUbyWw9T7KjVgXRIIFRJlTBfN2EuvH0BNZX4iUpmc0y8bOPPmIblXMHz60Xa1gA6MDkVFt%2FZIKYnGpfnBa6sUmAHY9%2FmJhqI4S4fJ%2BQL55xoKIY%2BVYNoOZTiaaCvQtCfCFHMMy1CH34IX7GMmfKjQd%2FUoR8AzFIA%2BR3QIHeUTdBWVYkSTznFd6SVJko0DW%2BxLKLeyTRZYcwiGjADQ%2FjqVO8uP6KGOiGzmqyKN4maq1OtpHWXhja9SRIRonoRhEaJZ5K0NrOFyl%2F%2FvMAAGKNdIQ%2BqATAwK1gBjVKRVTIdwCUpB%2FrioP0XWLww7EvHPD6PGRL5ZkqbKpcLx3ptW2gZ%2Fz7GYIdmjju9pfm6E8Zq6OFTovBQvLy%2FP78LIMhaEkbFrNYZLfbPjjm5jWdnDM4JnvBk0Az%2Fy%2BZVYSeXlcUJWdMvMcN9%2B1u8h0omny9N6YT%2BhuGr1r0xzd%2BOr%2F5xbv%2FOn7T8Y9PswO%2FX3znY5MWPHHDsNfXvfono1K6rn7f%2BK3vx32E27h55MJbxwOBFVznDsUNTsjh7BvIojRg1Mw2n89szrWA2WPUFFDSh8QUL7iGxEC7mCz83SHi7H5mUeZ0aISzRVANCgTlw1AfH9d2D8WobftHX%2B7YNsMT%2BhpLLZbJM2ZOJJNvaZk%2BQ5rNdrPv2XH2t6XzFTdbPuiJ9jP3rwh0PPOXNWvWAMLoCyfoMWk2eDi6esRYymclxCubh8RkDexcM%2B%2BlZZJuOTk32SdwmnJoYkjgUBQyIf4DZqJx81Mjh9525cmTzcuHVf%2FBTQZgFvauOZFVwBH49ZIydr4kH4iQK81M2CcaDRi9Gi%2BobTZhqFy7xwIOIyi6fTTdPt5ft4%2BoT4Q%2BecShOXlPGioU%2FBLkji3iOnVPiAnZ9vHnOw9ON%2Fmw7Jv%2B1omT5kyVp7dNmDnLjWVoRx7zq9vG4YSfTjyy5vt7ViWNk9BynD61y%2BDMEKROSUpzOLKcJlOm3%2BOkzuoYFVUUVMesmuoZHFNTel5aloiry3bI3RbgrbNeR4XKwOMJ6AVAxMMtOP2GaQZcT2aVs%2B%2FY3zDt7LdoiJfID985vmNc3Qb61PyZM%2Bd3NmAPdGAahth3Jx%2B789Eel5%2B4rCjB7nSOkgMeuCKa7SZElSn1%2BqwAPhndyHVz283akJgZqJ4bgp8v7QVDiRwWFgxH9KfOeieocBWpiZ1l%2B9eu3bj%2Fufm1o2uv6ocGOq9zCZ23rKHh3ZdLPsoafsVgoKAwtzSV26sYyiEKd0SrzFlZAwZIfRwOUqzmSkGUpIHpPXr4fJFg8Kp0K1jRqlj7qv2GxYy5Eke5wr7FpDpWXFxYWDksVqi5e1fH3BkXz%2Bn4pxIOWz79gRHv0LneqJs2FQ76ewKfPao%2BpSsqEvmsj%2BykQFfCF6ZeRcGFyUQK8v26El%2F4WGzqS33OfxjpXbL2ndc3sTfYvm9%2BvP3WksHVg5tvOnmsZKGTFc2buvrNabOfa5w5%2Fdrrmura10otT%2FceNqZjJ5Xzew187smt%2F1i1bPw9We5Roeh1xYVrZ732vkM6L1UOHVlb2WcEHT5q0qRRuwBhBYC0lmeDB8LRdATw2Y0Wg8Fo9Nolp1MaEnNqJkCjR6D%2FJfU5336yUOPaKqJJEuCQeFQirWX7O%2B6YxfZjqapqE%2F61bQ958LsXt8S%2F40CwpeDekav%2Fvh0ILAPAD7lsA1jEZFcyGsFksprtJg9Rr4kR6DJ%2FZWoO7uobKtNnnyJUlrW3X3ttO14phMgLHn98yIjzPqkFgFxoY259XSt4oSTqd%2FL0JgaDT%2FNcE9PAaBctOk%2FsjOTEKYEwCRGJxwB6tajQpMDBcxoHXzN8CJbum6GLZe60066mRmnd%2BeJXN6mThXRIWPMH%2FUn%2BNdGgxLmTUKrIsmYzWa0Gg8lkN4P41WCzUcXkofbu2oTf3cjSZdpuokXRuGOyi1dx22KswGZWhYd5AffOIrF9jYxdh40sI74Et93MVivueDXr0gYPcG0ouF4DRIkAevQioLvExgPivyvuhO7qQJ5BQRgeLXS7XPrsKDMzI6PAajSaTPkuq9WRKzu46XwOzWzPRJNH7%2BG7krl7%2BOC8ePqbjJDCRIiEfKFykdziVfBd8q%2Bke9n%2B%2BuvnTGL7vy529F437Xwso%2FdL097ZwvbVXz9jOnlw3rz12%2BLfSS1Lh1%2B%2FurZpy%2BF4kfhtxYuQjGCut1tMFxHAq6vrscoOoatQFU0Xx29SyV%2FXLRG8TS0ierkyof%2BZtWWXEPbn7boC9dce3JHE5yf0pzhpostXLJYMcLnSvcYhMa9mp0Nidu8vu%2FxUrvPeVQMOCCQs6MzrxGVT5986ecr8W6dQmX3ELvzxh7swGyl%2FI6Xt6%2F70Qnv7mhfYKbbnQTS8jE7s8wA7B4LrOep1cC1ckMMn1Hl%2BRVFNlKpZmqrlcuQEq9U9hBOEwa5mQEaKzBKmSBWoSQVlTvPepDFCnPndRKFJtuemosq2GZrG9p%2FtaZv8wfaPbt58TGf7vePdSx%2Fwsv5K9SPtbB87%2FT%2Fs7H10mU722JDgM67pTN1euaIq8dIsyh%2BTpOUZ%2Bfg6PcNnz%2FZanE5V4I0FhsQsv8m6iSfIBUmS5S2dL8HBXl8ook%2BLIkFBaLdMkafPPzxZ2v7R5zsmPXeFIQMJ22e1lq48uri9oOMZ9uLa9lNYiho3Z9%2B6xqU%2FbcBDAybXN3ZFFJ3LddVEh0mcejw5BCxZZVnUS7wGFxqlMrTMRy%2BJIqpdWewrCD%2B6iu3%2Fsre97yvSbCP7xLR8SXyH1LKxZTYkqp%2F1XIZ4dpmjpLktAEU5bnchWNw5lhxTli9rcMynUdPgGPX%2BvJ2%2F2BgiqPTHK2HB5clePsGgXCkPt082oetPnbx1%2FbDrDtW395oycuG8yJd%2F3%2FXu6MZHa5Zcv2zRrf2wZn1HILfzsvKx%2Bb0rCstHz73%2B8VXN%2F8y%2F%2FJriK%2FqHR%2F%2B30LeE6xuRa8AjToRYDHa7y2UyEIfB4fWZnHbn4JjVYrfL3HVyQt3QpktOVnRhgnBcxKOXvoLpIyFPwCO6cjK3bsas9tdeeHRt8xasYDuu%2BTD4aeiNN0jGwgknTn4e%2F%2FyqK4UOT%2FGc4zM%2BcENZ1E8cDrfby3t%2Fj9NoJ7JNtumyPcmJ1sVDgItr7tQYgH%2BgrxdrpR2zt72PpSLjsXRp7XUHt5Mj8dki4Ynt%2FEpI9JkPcrlm6BV1m0GWiYgIK0G0GNEuC5llKWndDU1X%2Fx0SbTfiOtaElf%2FINyryZYexkjVJLfFF86aMXUzaumS4AZRtXEaWOMsoSyaOIVng81ETVTMyMjNzVEXJ9plMVLbbMxQ7yDqidR3RdPz2LIDSIO1WQ8wBsin%2FpGskRZpuUfew19lm7LMwJ1eRcrT7sG6R5NCsqBgvN92NPdk7uARPdt4vtTDH4m9q1lxH%2FPGvvE03jMkcer4XnuKKI5gApOW6bWqi%2BYoMaKSUSAQlGWWzQVWtfIZmMSoUAA1mj4T2S2cBqaROkYZeq3KlhdkClOu%2FmD2BI48cxZHsMWxja46fYO2kPwmyZ7A1fiy%2BDRewhcJLzK17ycs1KTC73ZrXK0koahm%2FJgob%2FpNT8no0p9XJMTHDAFyVskQJkKKvhBlTUzxHyokifvTqgNsSaw9mmBRz7n4cwoqu%2BvcfR9RErqqfl%2Bfkfr2%2FYcZNo8ic866XXnR8Z72xNZI450HXce2MIn%2BoKqkIYDYgmvQhAm8c7YR%2FMwyOoefSIULSSMJGySlCWEwR6LrOB4nC0uhAZiCmDrLp6%2B3xekDI4T38Id7D54ipCHUbcnIcfn%2BuNTMzIFGXy8qjKd9qSbTzYosp2hbbF7bnuBrm%2BREWRw08Coc18VTQ4xFQ6%2BEJhDmL2m6%2Fc%2FOZG4cpn31T3XpmM9quH32qucGAVz7Z9jEdXMUObcyzBF8xskNVg%2BknbU8BIO5gJWSlYgMK7tcIpZJMAaCyhONDYlbqCOKOo0cV29lA1ylOauB7yBN7yOHlOmgGQ75bkoI52TabW3Z7qCzl%2F3%2F2IIuHzuFynuSi2BZnlftyiBSnzxyCyzwcrImh4e0Xbhz2%2B9mfKtWtL7xTP39x26LeM2aFPyFVQ7CnuWmyw5K3EXsOrqIfh2dPY5tNjY2nGm7QTxGQIqmCtoEHIlG%2FAg4zmKnd7qNeu82mSJSaHQ5QoCRU1lYi9ElBdqqp5pwa1sv%2FRAMmELwQB0baym968pqFwxaOC99ePv7pgf89chFZcXX5l1NzcyPRii%2Bnphf8lzhBwpbiQanl0rP6Dg26zurbad4v56mukCugE0Wi7Vh7JsTasSV5lIO0dJbKBcljHAhLOdJqfN6cwad7QYchPV3OyCA%2Bn4mYMrPSXCNiBtuIGMiGNH4pGWmKygXqpwH4S8%2BePzvOII575nOCTh4R15lS69q26gmSEBt94OCr7YtF6z7vlm8b7mpdcN%2BrL%2FfHcyhjZk77c8arjmflv%2FBn9kZObzbAuFFEB4A0ST%2Bd2BztZXeaidFqTfd6iV%2FzO51ado7Fn%2BavjxnT0sDFqcleG3P6QR7xs%2BNNXUfUIJTSVqjbjT%2BpBpRfbpXXFSKawsFwiBuQbNyyZcyzs2sbcS679w9k3%2Fmvbhr%2B6qufy7sbvojGrt10dOm6WtZ5ttes1keObtl5BAjMBCYFpHXcnkW8R87TLC6j7EsnBrDZ8jIhM%2FOyYp9LSycWo2xQPZ4ctYBHz%2FYyHc11H2qb9S%2BiA4oURXyC3SM%2B0WGqPrVIoJJaFCmMXFRdbixfuGzBqEk3j1qwfGE43Pbogt%2BNn93Y9siC8v1T6%2BqnzxxRO50cnPC7BcsWhCMLly6MTZs8uu2RtlBo%2FiNtYyYOnz6ttm7aDBHpCoDEp%2BPghZnR%2F7I53U6Plce2UaYyMYkJqxeRED%2FHBp%2FidDkbYkCRuuwmm93WEFPtdgt6FMsl5xX9mtiW3kNfypcpEhAfkgPKkCfoEXdAGF7cGCBD0YAVbOGWH374gX38448%2FvsOW4BViZBv3vHrfq8eO8RdyHMhFiKNCMGoniiKGmUaJSlTVsUcEbCpFdAhyJGBIAFHnAbag8wAAgUm89lnw%2F0o5D7g2jvTvPzOzu9KCJNSFaAKEBMYHAokSuQpiY04OODjYsWxCcjbkNaluuPdyiXuaS0jHpPfeE0N68fVO%2FObSe%2B8uy39mVlqEzr76oeyi%2BbG7U3bK83yfkUZBGZwCMyKlaRaXRRTLC6E4JyfkAld4DKmpsbkrK0ttpSafxzc15nHqTVNjepQycUvmivi5NiuyMYtA0qyNo3NOVr9OFfZJmt75WUW7VMhOWtE4fsubj9zRP33SzuaW6LxFB3rWTJj4xSuvXdHyYsOAb%2Fbpj257c%2BOS5s4tvmrim7appHXPputbn8kPlVdURssit194%2FxklXdGr7p3261Hh7uKKUGH0uu2nzi8Pxya1V5qmAUYu4UfygiRwVi0%2FYrQaWIvIdGcQ4pBB7dzU9snCdpLZJF%2FSOXJNjdRPPa0uMhVd2TKurqk5Mq5FXFPXEB0%2F7ucNExvqGieOb6wDIIw7lSbR99oBPqhmvm9ikm0mm7%2Fc7yzPc%2BbV1IrpYEmnX1mlhbZglpActKMVbEo36zBrHWyifBGnSASrw44ZvIhr6bwgFCxiuH4R45HIul%2Bc91p4c3j55tf%2FfvilPddGFx5b8zJqf5X9DCi9v%2Fm10vvcrj6U09uHsg%2F0Ke%2F29invHSBfX7VJ%2BTAv99nwkcNvfNd82xjlI%2F4%2FSu%2BrLyi3%2FObXaPaLTJb0b6xlBfCX%2BDHKMLqgAOoieZk65HLlmXXU56PLK%2FRmGI2e9HQbys4GEGweShSEA0F1mAtak3BQbR1SPGxVVo3K6irbp3YM1ToJV3pGr452r7n58XnrWi6tr79h3tY9yqTy%2FKbYvMvxsYvGRLrPu%2FBCWegef0l%2BcNcmpeGP%2FqIz6oqkNPas06Fd6BEEkMAIbZHRaUaDTKd2RMKCgERqGDdkGNkrBpBGCE4XBIMoIpOMsR4lWko4kLBqJI%2BK5j8Faab66Q897w8yR4ALIR3yqYfpaPGg8hFyDSo70RG06A12%2FoayC49HL1E%2Fs9K3DL2QNXzKGb8fhTCZCCJkRZgzSkcQkogAAdYJoQTf6LXQWZQQHjx2hLz1I7pgEIaGErEHWAIzAAhaezTEW%2BS5kUqBYFHUgcViJEbamxB9uT%2FROLFE8QLBIegdsp5%2BnaSN8spKbara53ErgY4FlFnoIwadmhP5X7VaYcvuz5QHAu8h%2FcO3K%2Bs89eFTJuceP%2Bdft9utd0xUFqDpyj3kqh3K1%2BH6uhrlzX%2FZctHQEckuSNLhJG8MjPTGCNLRbwWDZH%2BFr%2F6Jm7D5hAmyIDMiQ0ZGTrbVkMkqRQ3FUq17vL06HSowmDyctbXd2N5201ln3XjW5a88G6uvnz2nLjJHWMg%2B7W0766bZL10emd02YWJ7G%2BNFAYSwiCGdcx%2BZGTqdRB35BoSomd9sMRrSZYQkAYOKeoYC8S5MM5WnxriwyfZwnAs9I2%2Fh3kG0RVlFY12UNylYiiCAo%2FgZTriVRKwOA5LAgiyuTNnkwQ4Hyucer4lJXb96j39EPHUF%2BJnjK%2F5%2BbriipGXeqiuf3np9%2B4YudA6O3jbYEQv6S2bt37Cle8be7rMBwVgcxo%2BIr4APJkRy7enY7QbIl%2FLTzVK65C8mdrvDIed4PSa5IIE5pbQ8dlABTRX6S6xu1DgHrezj3QjuuaN9%2Fn1P7N541ards5oXtJ3REgwFWsOdE%2Fb9v3W9wlu7a432i6at2N7wzOzzq6tvrAr76ePuDExYn%2BqLI0JEDyCnCdwXdyjui3uFjR%2FVNMjMIUk6ao6YiGZWHZ0i%2FDX75U5H1aEgAOK2LmrkhkxmMUmXJFnOsjrBQR%2FdrXNlOGl7yiCq4Y2Z%2BzTTkbYwT8qwtv73xo0CxS6XhZtDZ7WvpVaAD0ZnlC6fNWF%2Bvigy%2Byj67YoVdz%2FPrAF7Z8wo%2F9mM65SDUhQQLFSOCbslO2RAIOJINwsiAoTMFr0emUykKWYSWc8XiHtk4gMlbe5qgAb7UsMIa0IFwu6bbumd0PqX1%2F72IW5Tjkmn%2F3QfCVmPHEWCwiKd8Cj0e7KGEUURmUU6Ebk1RiCQCHSypSLhfEr%2F%2B2Eqe2hQsaNeALBCVcRlNjI7Fh1Y7Gaz0W60ySYW9pXNXt9QQI0EXB1%2F3PjAIiZPQYprQ3RWgnr3Xd88KXuOu%2FGW5v7s6Kwj6xc5btOZJpzh7hmf2cktXDiKGxPRSYI8MjopD%2BWfMDoJeePRSb4QbvyciNkVzReismdxFD2z4Oyi0vHr6MwOwnTUfEt8ic9KPBFjIvYqgzhkDw%2FxTGK3kxc9YlKPgt969IarH3%2FwwP4nFG9dY%2BPEiY2NdULbnf0v3Hr7wAu3dHR2dnTMm5cy6s2OlKZTy49OL2AW1Ib01FNiGh70BD7YIdHEB79%2FOej1B9UBL%2B6NL0aoFonqQehRdg4ip%2FLxIFqsSMPn2KuMXYbaUNsyJZw1fMrGrnIA6Qpa2n5Y%2BTuAYvg1fgUA6eAP5Nrjj4L8IMFW%2BuJUVye0D51Au5h8T7W6B7CZSZlyNlXeJ75ClUs8XEnM8as%2BEb9qmXpVwDBeWUH%2BLLTzNU5DpKiQug4YJk0jh0pMoyDbnI1lQp0JPk9rzJdhoRy8xZvKwaN4g9Cm5HHsnddbrUub3bCVWHLF4ldiF1wYPjM27aFzzp37w3lvHP3F7rOrUcnw6jY6d1dT86yJ4eiY0sOnTO6%2F%2FYLru%2Bj0cyyamXhHhoZU2lu3GPuhiOexHiQ0HfQPYqfoh9HVJ1B0w2%2F%2FheIgzFQV2SMV52iKgYTCOlIxU1N0cUXaQwR7uWRYkxbXSNDfPYvXhpfEa4MpdD7OPtrg4sg4yUbMNmIRLCjNZEJsvgbgEETRbiYUvqb4syENGQkj%2FJFkkzkxTAQrMmlscsKiQLvUAAeUNb8G7yQ062PCs0QKkEYsI9rR6nzH9imOvcoLeLew9%2FghbKIUT%2BhoLlq5jiPvcYqZDnXNrC6WKXZGjNP8%2BVlGYAXOBfY556p5%2BZaodTT0KC89ZE%2BUXqqiG9pSFPdShT1JcXDoO1XhHnmNmZqia%2BgnXgMYFag1wGbucZ7cAJnQGCmivUCW3ep0GlBamtthAIqVWwGovcRJi9eKLYy8TgmP0%2BBgddahWmkscQqUlpiPo4MhBwPPA1tV5FzFz7cKwm9%2Bd%2BCzzzahATIdd1Du%2FG5GoOPWnR9%2BofQoyl1qHsRXeDuriLez36eUA%2BdUeTlUxtt7N1fgvJMpulHDv1AchOdUhXek4hxNMZBQZI1UzNQUXVzB2vvoeGkj2IAMglnogXTIjaRLBGTZYORGZXcgqMUn8260FqnLBlSM7lL%2BuB%2BVocqr6Rhetkf5tfL7vfj3qKxH%2BSMavZf%2B%2BVuaSiUAhD7DLeIHkgA2yIZCCEdyXJ4cuz0tB9LAW%2BTMK3Ab3QxXJQWpdOWImbyK8arGGFaJqpEG2V2IO%2FyqihEFV1Wm94Xts3tnv8iA1RevaL1x1sDRP56CjrR2UWL1%2FZBiOG0%2BWqzyvXWXXHDpANrEwNWGNfM3DSi%2FfHYJ%2Frbsp%2B8e6j5uKR4aUmlIXgO18Vocrdaz1uOkKrqR6V8oDkKPqsgfqZipKbq4gr0RJcl9kqDwq4yNv3kb1KtYuCSJSmbrqZpIDiOjjbIoSpJTMDbFZEdTTJAFWdIRyZowKGrdjOZBjePIDroW0tZGwh2UUz1yNcPaH1CQ4fikjst3rbt0NcHv%2FagMUij5c2Vc18rz5%2FNZJM3JfMkD1dAaGU3tegXFxQDlWSZTbXkgUGPKKtBBcbEui2SWhkqnxEIQcFgyozFLwnGq7ZUx0g03TH%2FaTYLqcnOkuuX8iaFL8zhXsVAn4a3SSDRSWl1%2FRVfoo3fmXTau%2BubIbfnTo2vnNjQ0TVjXsWQjbb4%2BhL9FfuGvkV%2BcNqai1JldVTJn7srmu%2B7JLfy6KLhqVGhcaeOylsh5lbWnl49r6TrnKPVMv%2FLO%2FazH5ASbVEBr5VQ%2BUtQfAPb2jbbEazY1vfvCE6Xna%2BkHfxhi6RUj001a%2BkAasPTikemClt4lAX%2B3T%2BGCYcUDmqJ%2FlKrwqwogTCEpQjeUQBBOgS2RydU1JDM%2FP2g3GoNBuabG7%2FGMKZPlsC%2FfW50fjVVXsyDp7OxQNJZtNo6aSoF3p%2BS0NFDHPHgbYiBJgQZGv%2FERLZmZ0t5q6wkJKnqMhzBz8MufZG0ZXsZRzHYYrWJk1TDShwoZfiVWbn2rce4L19%2F03NdfPRtr2nHzvKc%2Femdx%2Fd3LDyM4XkaJq%2Bcfm%2FbY8bqFq1fv6FyOvX%2B1oHvwefbOru7Y0zcz5q91cn3Tq52bInXKZx9RCGvWp8UlOEsQzpxD6T%2F05acLVrNap952xtZhP0xWx0%2B0iY%2BfnCrjtT1FbQ2389oqStRWanr34n%2BeflDP00eNTBe09C6rWpeVidoeugYAvcGv8LTaXynTgF0DGRLXuBwA%2Fy5J0T00eaRi6JdU8UmS4qDyuqqwJBTvUMXlkqApuriC9Vdu9UkSBIfk5fPVpZGx4MYuV46oJ%2BkEY0tOTnr6qEKLpcQNmZh%2BSJ2ImdjppB56CnnSKS02%2BRpiJifBU2MEnYC8izsQ2clwI9I%2B1YYLf3Gtkw8SVgdtm4XAwyNdtX46hDAvXCL2GCmnN3ZetuitjjuuvUr5%2F0PfKX9DwuFDDfpT17zfga0rz19x8fIFq84TXdXF99Wdtr1n%2Fm5lz4fKh8pLyPrJR8gyV%2Bhdtuva4%2FMv2Lj1ih27%2Blg74MwMf2tPV9%2FaEPAZUHI97ucl3KK2k5t4PReeOJ319ZfAyRW8pRiS%2BgUt3aSlD6jpeSPTBS29y6C2pIDWK8yCw0JYeIl7wbKhNGJ1pqWZBQEIyYUcNwVKAXHz0vPBYdBQiw8WTxJRTWOGj2%2BK1tf%2FPFpXNzVaf2ojO%2BKOwcEvTpva%2FPOG6c1EmNrUMqWhpRkIfcaHKAN0OZ81eEfOGnzxWQOjb0jBFAZx%2FC%2BzhmCNsJ9hQWsvOLVn0n5GBm1eUrt%2FzK5jR21o%2FOiJKy9AhwzKa%2F6alefjSoYJlXV2dVyL7IwUqpp%2BQes1ytH2RjTouvnWlnFKMOP2oSGVpeD1c2ZST4ByefGmpvMavgVOruA1XMnTC0emC1p6V0B9A0u1np977PkV5qi9zXh%2BBQ8XJOgmziYWsLhqD%2B1vHQZzli2Dxi8VWsCcbXDIRM6dEpOdxEnL%2BCQocxLLTDtnDWdWTT4Wyh0nAU7ot8Herhf%2F%2FuZLf5xv0ulUfvGjOONEDrXMYEgzK%2BCtE9qVsXpQVixvbB7mnLQ8CVqeut5Qc%2F0zNdcJKk9oH6byMk5M5VGJGk2mO108BE7wQmekxuJwGFF%2Bvs6WAeDL0umKLHa6drMgI7HQX0YznaWSNBddcwhCLotpRQ5tBcd%2BThplmiAy%2BBMMx2M6XcOLuERnVGvx%2B3WnH9vn31Wm9Cv3oTPQhPGbvaRDW9Q9dstdd%2FXVrfR7t8jpaBvqQuejTSZZXeCR145%2B8%2B1PDivZbnPyN%2BhT3SphMXhgNARhQWRMoMKEHQ6%2FX19RkWu3V%2BXr9aEchzvgiMYCATCbfxaNmc3YJNDOmfLEZnDT4VwQvFNiQupwHj45Cp00iOdT56kG4bniI7dDo6KTeT2fSk%2BLtyhf7dl5pPfHLSgb4QUvT7nsi2%2BR%2BbhTt2fL%2BU90tDx99FwN5Pu4fbWMBnC3%2FZprdiD9%2FciByqY1XcvYaf26naXlbOCeHGf7BhavuJhFHD0h%2FFXwSAVgZP0Zi5ozAMh6jE0ZWF4vsh39sg5pyx2NKqQzEZ2XGU%2BdFNAgrdc1Ne977elTUafn6kbhr2ed0XJ29tMLqh5sYBENqFX4M4lKD8Q9ehmS1eqmkUWyR8ay7CDxvRTYHVKNZ7qk8YhEdy1YcOklCy%2B67Pqa0tKaiorSGvGlCzavv%2BiCDZu7ykKhsrKqKkDwa%2BHPgkEygQuqIm4KNEUEQjLdBhvobPTrYvM6MzavFyCQ9fpZmoNENQebXw6qkISXvbF5mNVHiE23yjF6xRM27knfvXTUtKZoET%2B%2FfAk7F%2Buray7vKyjOr%2BKHAr4bGHqI3IN7%2BG5S%2BAS7SU0nbeih999Xlbp%2FqtQllG7Sj%2Fp4jIw7kiaIOqTTySBou5KZB5gLq7jGWhvCumKTs7N6sN5L%2Bp1zkG2h8t3HkHQFCVwRmQhIknSCRC8wvD8WUrffQHtNwbWDkz3iI84XlPdRySFI3luLeVIwEfnuWhIEtNuffHstwOzeZBl%2F%2BgzwRczUIGsiggSSZNFlkHRtI0Z%2BoT8E%2BbOoWSnwxY%2FoUzVPdILhSZyRP8ezp2Vz%2BE4SGJn%2FndpNDXwrMFMaMYjsRi%2BqN9Luoz60qB5QH885cqO31JNM8Ua1DBJFgVlJkOt5SRihMGIaeQcIpN7Ap91gROGgt0eWkkvbi2wunXrfKIyCdLA9wszuRplAgHssUq3uc6%2FavnXvvku37cGf9hzou3r%2FLbcAELbTizQXhfm75mXsYF6m6kEvys4gbKuXAofMQuS5LUhtbJnmP9AJy8gdX3yp56m7v%2BAps89kZzPacGPqPmctKUf%2BVkA7vpHbtCsijrgDV9RLQAg9pa0JI9VZmsxW0W%2FVN5vqlE12xKZeO24nRzp2bfoHPRPEf7z2SBs4vvHEBm8ApCxj83oe25YVSSeAEcaCFtqW8B8j5EX48mN%2F%2FIKMjge2AeK7BW0S%2B6EYdkQaJaL3%2BXI8RW5ntmywWIrSafaLika5cnP12dklBpdLzpRy83Knx0heRt66PJxOMvMy82yFPiiEabFCndlkMzXHbNp2YiNNoxZenyxzKUghO%2FCtQOhvro%2FH5DgKdA420DrVfS4oWELdb%2F7qWvq7BuL7XXhXXu9CVyrtGKN5yj0hZNq9ecn93ynPj9q6VMBLtvjQpG%2Be6ps7ebnwys5f3ucNFDzwTXgIxqK0Tx5wFVff9zVyT%2F%2FQ4%2BXsWgfzjp%2B0n6MTYDbdHRriMbs%2FSh7wQyNfQ04lboD45x8nfd7MPgcMBhzF34tPQRpYGbthFXUmWnBEBixim90k62TJikTRaiW6PJLPDTwBLSYu4RpNwn%2B8DhpfWI1CfA%2BzWrZnHP5%2BzefKBrTh0zXKHkmuzliH39q3rwfXHT%2FUN3Nu1gWuZ9Wn05u0pyuGRuJWn14KAMTT4QTpzcPp0q6k3PF0dS8BvtMDAcsjIIiIQGKXQLYPAt8FgTU2uvZ8EQDruB3sL%2FEV7krVDmZIWNNupYoPkxTdQ3NGKoYYgS4mKQ4q76sKS0JxHADfqZupKbq4gq9wuaT6%2FwCVeR0IAAAAAQAAAAEZmiehT9dfDzz1AAkIAAAAAADJQhegAAAAAMnoSqH7DP2oCo0IjQABAAkAAgAAAAAAAHgBY2BkYODo%2FbuCgYGr9zfPv0quXqAIKrgJAJZXBsIAeAFtkQOsGEEQhv%2Fbnd272rZtG0Ft27ZtW1G9dYMiamrbZlgrqN17M89K8uVfTna%2FoRs4AwCUGVBCU0zQl7DAlEIZWoPOfhXUs0BbVQAL1CG0ZepQd9STPdUW9dQ61FGN%2BU5LpOW1pswUpmU0hZj%2BTGOmWnQ2lPNyV2rEoO%2FA%2BmUw0CwATG8cNjkwyXzEYZrG9Of5NUyy%2BXBY7Q4Hm9a8tgCH%2FWU4bOcwPfmsjc7GvDcYPWk7StjU2G8qAf5xwHQE6D%2BzHRXUbqzi96bmrEQNEeim4V965jWnB%2Bho0sNRHnTn7E5H0V3nQAlaAGsawqkxWKfGhDPoO2Ts%2FGdwsk5fIecd011vh9O%2FOaegHO9toBWAfYLM5JBSxvoNquliyEeDvUucbeXvMd55vIqRtTGMJTnzAkP5bdnsXvTX6VGOPkbfYe%2ByRgh%2F6xHoLms6QDmmlvyFPThTB2PEtbczfMbr3XUu1JD7fmqUjaYre68jzpPD3wJIH6QH0RyQ5L6Ui%2FGeGFqDOZLiPj7iXnpkDsKJ5%2BTwO3LmEe8JYecb2fcazoXMC%2FEd4z0J7EFS3MdH3EuPJJX07gom%2Bff4%2FDMcpS1ee85bBLQNGO84cgiqPerpVcghUBEeK%2FS1jzBBfUZbwUv5X%2F7bkOlslqCEwJ5TBw4lBFsBJdRuHA4vYk%2Fown8RLYvLrQAAeAEc0jWMJFcQxvFnto%2F5LjEvHrdbmh2Kji9aPL4839TcKPNAa6mlZUyOmZk6lzbPJ3bo56%2F%2FCz%2BVaqqrat5rY8x7xnzxl3nvo%2B27jFnz8c%2FmI9Nmh2XBdMsilrBitsnD9rI8aiN5DI%2FjSftC9mIf9pMfIB4kHiI%2BhWfQY5aPAYYYYYwpcyfpMMX0aZzBWZzDeVygchGXcBlX8ApexWt4HW%2FgLbzNbnfwLt7DJ%2Fp0TX4%2BUucji1hCnY%2FU%2BcijVB7D46jzkb3Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhhjytxJOkwxfRpncBbncB4XqFzEJVzGFbyCV%2FEaXscbeAtvs9sdvIv3cjmftWavuWs2mg6byt3ooIsFOyx77Kos2kiWsIK%2FUVPDOjawiQmO4CgdxnAcJzClz2PVbNKsy2ZzvoncjQ66qE2kNpHaRJawgr9RU8M6NrCJCY6gNpFjOI4TmNIn36TNfGSH5RrssKtyN%2B59b410iF0sUFO0l2UJtY%2F8jU9rWMcGNjHBEUypf0z8mm7vZLvZaC%2FLzdhmV2XBvpBF25IlLJOvEFfRI%2BNjgCFGGGNK5Rs6Z7Ij%2F45yNzro4m9Ywzo2sIkJjuBj2ZnvLDdjGxntLLWzLGGZfIW4ih4ZHwMMMcIYUyq1s8xkl97bH0y3JkZyM36j%2F%2B58rvTQxwBDjDDGNzyVyX35Ccjd6KCLv2EN69jAJiY4go%2Flfr05F%2BUa7CCzGx10sYA9tiWLxCWs2BfyN%2BIa1rGBTUxwBEfpMIbjOIEpfdjHvGaTd9LJb0duRp2S1O1I3Y4sYZl8hbiKHhkfAwwxwhhTKt%2FQOZPfmY3%2F%2FSs3Y5tNpTpL9ZQeGR8DDDHCGN%2FwbCbdfHO5GbW51OZSm8sSlslXiKvokfExwBAjjDGlUpvLTBY0K5KbiDcT672SbXZY6k7lbnTQxQI1h%2B1FeZTKY3gcT2KvTWUf9pMZIB4kHiI%2BxcQzxGfpfA7P4wW8yG4eT%2FkYYIgRxvgb9TWsYwObmOAITlI%2Fxf7TOIOzOIfzuEDlIi7hMq7gFbyK1%2FA63sBbeJtvdwfv4j28zyaP8QmVL%2FimL%2FENJ5PJHt3RqtyMbbYlPfQxwBAjjPEN9ZksqkMqN6PuV7bZy7LDtuRudNDFwzx1FI%2FhcTzJp73Yh%2F3kB4gHiYeIT%2BEZ9JjlY4AhRhjjb1TWsI4NbGKCIzjJlCmcxhmcxTmcxwVcxCVcxhW8glfxGl7HG3gLbzPxDt7Fe%2FgY%2F%2Begvq0YCAEoCNa1n%2BKVyTUl3Q0uIhoe%2B3DnRfV7nXGOc5zjHOc4xznOcY5znOMc5zjHOc5xjnOc4xznOMc5znGOc5zjHOc4xznOcY5znOMc5zjHOc5xjnOc4xznOMc5znGOc5zjHOc4xznOcY5znOM8XZouTZemS1OAKcAUYAowBZgCTAHm3x31O7p3vNf5c1iXeBkEAQDFcbsJX0IqFBwK7tyEgkPC3R0K7hrXzsIhePPK%2F7c77jPM1yxSPua0WmuDzNcuNmuLtmq7sbyfsUu7De%2Fxu9fvvvDNfN3ioN9j5pq0ximd1hmd1TmlX7iky7qiq7qmG3pgXYd6pMd6oqd6pud6oZd6pdd6p%2Ff6oI%2F6pC%2FKSxvf9F0%2F1LFl1naRcwwzrAu7AHNarbW6oEu6rCu6qmu6ob9Y7xu%2BkbfHH1ZopCk25RVrhXKn4LCO6KiOGfvpd%2BR3is15xXmVWKGRptgaysQKpUwc1hEdVcpEysTI7xTbKHMcKzTSFDtCmVihkab4z0FdI0QQBAEUbRz6XLh3Lc7VcI%2FWN54IuxXFS97oH58%2BMBoclE1usbHHW77wlW985wcHHHLEMSecsUuPXMNRqfzib3pcllj5xd%2B0lSVW5nNIL3nF6389h%2BY5NG3Thja0oQ1taEMb2tCGNrQn%2BQwjrcwxM93gJre4Y89mvsdb3vGeD3zkE5%2F5wle%2B8Z0fHHDIEceccMaOX67wNz3747gObCQAQhCKdjlRzBVD5be7rwAmfOMQsUvPLj279OzSYBks49Ibl97In%2FHCuNDGO%2BNOW6qlWqqlWqqlWqqlWqqYUkwpphTzifnEfII92IM92IM92IM92IM92IM92I%2FD4%2FA4PA6Pw%2BPwODwOj8M%2Ff7kaaDXQyt7K3mqglcCVwNVAq4FWA60GWglZCVkJWQlZCVkJWQlZDbQyqhpoNdAPh3NAwCAAwwDM%2B7b2sg8kCjIO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO4zAO47AO67AO67AO67AO67AO67AO67AO67AO67AO67AO67AO63AO53AO53AO53AO53AO53AO53AO53AO53AO53AO53AO5xCHOMQhDnGIQxziEIc4xCEOcYhDHOIQhzjEIQ5xiEMd6lCHOtShDnWoQx3qUIc61KEOdahDHepQhzrUoQ6%2Fh%2BP6RpIjiKEoyOPvCARUoK9LctP5ZqXTop7q%2F6H%2F0H%2B4P9yfPz82bdm2Y9ee%2FT355bS3%2FdivDW9reFtDb4beDL0ZejP0ZujN0JuhN0Nvht4MvRl6M%2FRm6M3w1of3PVnJSlaykpWsZCUrWclKVrKSlaxkJStZySpWsYpVrGIVq1jFKlaxilWsYhWrWMUqVrGa1axmNatZzWpWs5rVrGY1q1nNalazmtWsYQ1rWMMa1rCGNaxhDWtYwxrWsIY1rGENa1nLWtaylrWsZS1rWcta1rKWtaxlLWtZyzrWsY51rGMd61jHOtaxjnWsYx3rWMc61rEeTf1o6kdTP%2F84rpMqCKAYhmH8Cfy2JjuLCPiYPDH1Y%2BrH1I%2BpH1M%2Fpn5M%2FZh6FEZhFEZhFEZhFEZhFEZhFFZhFVZhFVZhFVZhFVZhFVbhFE7hFE7hFE7hFE7hFE7hFCKgCChPHQFlc7I52ZxsTgQUAUVAEVAEFAFFQBFQBBQBRUARUAQUAUVAEVAEFAFFQBFQti5bl63L1mXrsnXZuggoAoqAIqAIKAKKgCKgCCgCioAioAgoAoqAIqAIKAKKgCKgCCgCyt5GQBFQBPTlwD7OEIaBKAxSOrmJVZa2TsJcwJ6r0%2F%2B9sBOGnTDshOF%2BDndyXG7k7vfh9%2Bn35fft978Thp2wKuqqqKtarmq58cYbb7zzzjvvfPDBBx988sknn3zxxRdfPHnyVPip8FPhp8JPhZ8KP78czLdxBDAMAMFc%2FbdAk4AERoMS5CpQOW82uWyPHexkJzvZyU52spOd7GQnu9jFLnaxi13sYhe72MVudrOb3exmN7vZzW52s8EGG2ywwQYbbLDBBnvZy172spe97GUve9nLJptssskmm2yyySabbLHFFltsscUWW2yxxX6%2B7P%2BrH%2Fqtf6%2B2Z3u2Z3u2Z3u2Z3u2Z3s%2BO66jKoYBGASA%2FiUFeLO2tqfgvhIgVkOshvj%2F8f%2FjF8VqiL8dqyG%2Bd4klllhiiSWWWGKJJY444ogjjjjiiCOO%2BPua0gPv7paRAHgBLcEDlNxQAADArI3Ydv7Vtm3btm3btm3btm3bD7VvBoIgLXVVqCf0ztXT9dzd3j3cvcX90CN5Snmae%2Fp45np2e356gbeH94HP8Q3x3feH%2FX38NwJwoHigQ2Ba4GBQCK4NfgxVDE0OnQr7w1nCI8P7wi8jdqR4ZGzkRDQSLRmdH%2F0UqxTrEVsbux%2FPHe8b3xh%2FlgglzESJRJfE6MS6ZChZJzkj%2BRouCA9GJKQuMhI5hsZRHR2A7kZ%2FYZWxldhtPDPeFd%2BIPybyE0OIy2SIrEy2IneSX8mvFKB6UpfodPQYeiOTjmnK3GOzsCPYpexaLjdXiRvBHeJ%2B8BX5Lvxe%2FqOACmWEnsJ60SsyYjqxiLhE3CoeE6%2BLL8RvUlRqJXWThkszpJXSbjkq83JaOZ9cXm4gd5IXKZACK4qSSSmiVFWmq0lVUtOr%2BdXyagO1oxbRSM3UsmnFtOpaC62nNkqbo7M60HPppfXaemu9j77X4IwUI49RxqhrtDWOGzeM92Y985lFWWWtcdZia4d10%2FpiU3YZu6%2B91j7rME5xp5szGVAgDcgBioDhYDpYDjaDE%2BAmeAW%2Bp8R%2FA5ajfCcAAAABAAAA3QCKABYAWAAFAAIAEAAvAFwAAAEAAQsAAwABeAF9jgNuRAEYhL%2FaDGoc4DluVNtug5pr8xh7jj3jTpK18pszwBDP9NHTP0IPs1DOexlmtpz3sc9iOe9nmddyPsA8%2BXI%2BqI1COZ%2FkliIXhPkiyDo3vCnG2CaEn0%2B2lH%2BgmfIvotowZa3769ULZST4K%2BcujqTb%2Fj36S4w%2FQmgDF0tWvalemNWLX%2BKSMBvYkhQSLG2FZR%2BafmERIsqPpn7%2ByvxjfMlsTjlihz3OuZE38bTtlAAa%2FTAFAHgBbMEDjJYBAADQ9%2F3nu2zbtm3b5p9t17JdQ7Zt21zmvGXXvJrZe0LA37Cw%2F3lDEBISIVKUaDFixYmXIJHEkkgqmeRSSCmV1NJIK530Msgok8yyyCqb7HLIKZfc8sgrn%2FwKKKiwIooqprgSSiqltDLKKqe8CiqqpLIqqqqmuhpqqqW2Ouqqp74GGmqksSaaaqa5FlpqpbU22mqnvQ466qSzLrrqprs9NpthprNWeWeWReZba6ctQYR5QaTplvvhp4VWm%2BOyt75bZ5fffvljk71uum6fHnpaopfbervhlvfCHnngof36%2BGappx57oq%2BPPpurv34GGGSgwTYYYpihhhthlJFGG%2BODscYbZ4JJJjphoykmm2qaT7445ZkDDnrujRcOOeyY46444qirZtvtnPPOBFG%2BBtFBTBAbxAXxQYJC7rvjrnv%2FxpJXmpPDXpqXaWDg6MKZX5ZaVJycX5TK4lpalA8SdnMyMITSRjxp%2BaVFxaUFqUWZ%2BUVQQWMobcKUlgYAHQ14sAAAeAFFSzVCLEEQ7fpjH113V1ybGPd1KRyiibEhxt1vsj3ZngE9AIfgBmMR5fVk8qElsRjHOHAYW%2BQwyumxct4bKxXkWDEvx7JjdszQNAZcekzi9Zho8oV8NCbnIT%2FfEXNRJwqmlaemnQMbN8E1OE7Mzb%2FP%2F8xzKZrEMA2hl3rQATa0Uxs2bN%2B2f8M2AEpwj5yQBvklvJ3AqRcEaMKrWq%2F19eWakl7NsZbyJoNblqlZc7KywcRbRnBjc00FeF6%2Fenoi05EcG62tsXhkPcdk87BHVC%2BZXleUPrOsUHaUI2tb4y%2F8OwbsTEAJAA%3D%3D%29%20format%28%22woff%22%29%7D%2A%7Bbox%2Dsizing%3Aborder%2Dbox%7Dbody%7Bpadding%3A0%3Bmargin%3A0%3Bfont%2Dfamily%3A%22Open%20Sans%22%2CHelvetica%2CArial%2Csans%2Dserif%3Bfont%2Dsize%3A16px%3Bfont%2Dweight%3A400%3Bline%2Dheight%3A1%2E5%3Bcolor%3A%23666%3Bbackground%2Dcolor%3A%23fafafa%7D%2Einner%7Bposition%3Arelative%3Bwidth%3A840px%3Bfont%2Dsize%3A1%2E1em%3Bmargin%3A0%20auto%7Dheader%7Bpadding%2Dtop%3A40px%3Bpadding%2Dbottom%3A40px%3Bbackground%3A%232e7bcf%20url%28data%3Aimage%2Fjpeg%3Bbase64%2C%2F9j%2F4QAYRXhpZgAASUkqAAgAAAAAAAAAAAAAAP%2FsABFEdWNreQABAAQAAABGAAD%2F4QNYaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLwA8P3hwYWNrZXQgYmVnaW49Iu%2B7vyIgaWQ9Ilc1TTBNcENlaGlIenJlU3pOVGN6a2M5ZCI%2FPiA8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJBZG9iZSBYTVAgQ29yZSA1LjMtYzAxMSA2Ni4xNDU2NjEsIDIwMTIvMDIvMDYtMTQ6NTY6MjcgICAgICAgICI%2BIDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI%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%2BIDwvcmRmOlJERj4gPC94OnhtcG1ldGE%2BIDw%2FeHBhY2tldCBlbmQ9InIiPz7%2F7gAOQWRvYmUAZMAAAAAB%2F9sAhAAEAwMDAwMEAwMEBgQDBAYHBQQEBQcIBgYHBgYICggJCQkJCAoKDAwMDAwKDAwNDQwMEREREREUFBQUFBQUFBQUAQQFBQgHCA8KCg8UDg4OFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT%2FwAARCAMgAFADAREAAhEBAxEB%2F8QAewABAQEBAQEAAAAAAAAAAAAAAQIAAwQFAQEBAQEBAAAAAAAAAAAAAAABAAIDBxAAAQMDBAIBAgUFAQEAAwAAAREhAgAxEkFRYQNxIjLRBIHhUmITkaGxwSNCM%2FGSwhEBAQADAQEBAAMAAAAAAAAAAAERMUEhAmFRgRL%2F2gAMAwEAAhEDEQA%2FAPhT7u%2FtMuzs75T7CQs5SkZWRyXr2qSTzDyi23dAnMl56MFO1OBQZzMQszc6mnETGc1n7n%2B7PRMHKhOYx%2F6nkKd6MRAzkkh%2FIf6mpHKeT9n%2FAJXXalZTnPD%2FAOl11PFWPwWkzkJSTs31O4pwXb7P7v7n7X7jq7ujuMZAhRlJJDJUKEKCj1j7%2BJ9Syxr5%2BrLK84BQgwujPW2VEFfjaN32tRBhJJQempsDUiQVkcFO7uP61RMAVgDFANlYrTSmIIB9P8800YVr8NOTpWSkiWIAgpWz8UpREll67u%2B9CMAc%2Bv015Z6rpYR6JcgLt55poIQyUK42481IIABFdTp45oyikCZOf%2FwaV1gix9iTo3NSAxxIU6aeeaVhSAFjYf681lXCPURuynQLpzSlEjKfsh1bkc0cJh%2F9OtT%2BCc%2BaroAgmJtcBfXmrKL5BRGz22qISRiLX%2FbxakFJEzDcW3o8LDJY28sWWpB0NlXgjWpMFyFkTjalMshFWvxxUIQSs2Gp03oNMAcutUuFtvpVUj1xLG4ZfPFKZlsfjvxUGyigZHLLwOKkTj7rEn8efFSZlgoQ%2FhueKlNhY4ljcM30qUJxyRDkm%2FHigj1ERcqSL%2FlUMk4kzQFdX58VExxz62RwQ6a%2BKv5ECs03W781dRWS%2FJk5vjSqCTiCZoHsvFURJKy9tNPPig5AJWHt%2BDu9SYGSH3umppwipVDLTm%2BNCCkxHtqd6dAkkmYJt538VQmJ94e%2BoS7vRVEAHE%2BjqNCmtKOJJ%2BCERu%2B1Sb2xHo6lnSocYqsvW9i%2B9SIBJgcE%2Fqz1QgAgH1RwjHmoKQmXw0a%2B1CQigejvvxzTCognL1%2FsXepUwUT6%2FRFIUod6qohIoSpRQ6eeamSyov8A524opCxEYkkop04p6ioyk55Zr0Kt6kwKngJzUoPTEubh0F35pRQEsdNANvNS8BxwF0Uqyf7qgJwBm5H4DeomIH8nWi6MnPJqXQ6GwVEtzV4isl0tx%2Bmoj2xAYuV%2BOwqRlkMrDa2%2BtEqwwyBhYjdlvUA6GyKNqkSCJ3ZONqoR7IFAX8DtSChWSprtvQqYLnC1xoN6roxBQCxVQyroeKQzEhnSy7jxUdVpYABtSj%2F2o9RKLNiur8jimIBFhddP6%2BKsiVhgI2Nw6%2BeKvUVipYvHdrVYSfXENqdRxxT6sqkADJQfxIsDWfUvpge7u6erqCz7JRjEKB7Skg03otxLk%2FM9kaff3dpl2dvfLs7JEZTlKRJQI5NX%2BZPJDmtnLIDPSynanATlLF%2B3Uup4qx%2BLJzms%2FwDow5LPViBs5rGJ7NtS71YaAnPEn%2BQ33NWPweseyap%2FIbPfarCYzmR%2F9FP41YTGUll%2F0IA0dnqWa7%2FZ%2Fd%2Fc%2FafcdXf09xEomJMQZASGS4yARQdRWfv5n1MWNfP1ZcyvOhATC5DPzW2KU9h66XfagpQ4hIhVLPxSFFTmkX%2FF3oTAFYetgmpR6v7MAVD6uqC%2FNIx4SCqYqEYvtQoHxAENU1qWCQfYgeLu9JMAcoHB1C33oSAI4m9xpweaQf8A0x%2F87ft81cI9cQ5Yk2qGTLH3Kv45qkwW9VgR%2BDc%2BagBjiXKEghtf61IkDJiUTbRKl4k4p8iqkWHHNSURH2c%2Fh5G5qUaCGfWCtxfyaKYfbEkpcM1qmWQ5L6huNqmg%2BI%2BJQ8cVInIGdv7b%2FSpMMlhZWVU3pSQqaK23NSUklJa3F0oQKoLFDxSCpWaon4XWpGOWcCoVRst6DEAxxKA3Cvx4pwyVGTscd%2BPFRBMTEMbll8UAkhZ3%2Frz4qPjMsGfy1zxTgyxmxJxZQf8ANQYItigCKvFSyPXAMXUIoqiJIWbHyvPipGOOXWg1CPyeKr7EFkYn3fd9akSSvy0LPtehAqi56l32FJJJWXsn9WegMslgkz%2FffxSR7YoZ2IOvPFVUZ1%2BVhztUmMjiEn7ONeKsIkn39v8ALPQiCTLr99Rv%2BqqxJGSH1dQzjepYKFUxQJztUgAcQMNSLH600MhWZxVfLuKNmlD6nDjVnqQQ4kYahkPPNOQUJPx02O1CCEgejrZ%2BKUSCskit0vvQVQXKAME8Kz1JzAjiXP4jyd6R4fXL8P8AVCBxQOSHdOBzSiyzuvjnzUayBYOV4HPmgD0xLlFGnB5pJ9RL5FU%2F1UgRExCk3KM%2BnNQJAykST%2FTmpHrxM%2Bty6MnPmikDLFGuALJrSj7KyW4ulA6PYRbFVsceK0mKrIN%2FbeskhVgG5Lb1IexBsybc1JvZdA122pDe2IsxOyVLDFVmWF0tuy1FUBLPrVLhbb0LKFjiWIQjXzxUPCoBsbXXjxRUFGIYopsX0pRkYrM6OL81JkivWgPD8nipQLHFXuNePFLR9V1THcbeKGalY4hrk%2F1binNUUShmoO9%2BRxQfF9EJdvf0dXXEy7OyUYwCgKTJAFPNH1cS2mTNkHZ3fcdpl2dvdLs7CQs5SkSQiXL0SSeYVoM5r%2F8AQol1O1awBnIgEdhcnWT1L1sp5SAmUCoHZ6PCwnIGB%2FkJO6l3NOBlhKaEHsLJqajmsZSV%2Bw2UubpUutlIBP5Dcq5qxBkmcgZH%2BS3JZ6MF2%2B0%2B7%2B4%2B07%2Brv6e2QkCFAlNJASXEoig6is%2FfzPqYrXzbL484BxQwsea0ywUFoaXfahYCFPiLnf61rK0ogrP0b8XU0IAAmHp5KFnpQC4pgjhn55qSkkSmDY7HagA%2FEDDUsh0Sk1iqy9GLq%2B4oRgufWMWUKXZ6qY5oMShLkKU880sscQbm1k%2FbRGgscUUopdPHNLMUUJmVP9ORQWAAlBCUNm5p2PEsIG4cafnVhK9SS7EbW9fNCSRERDm5VhxzSeKOKzUlPHIoDRTPqxJVr%2BfNRmwFQtEqR%2BmpZIUlkRLstqsIEyQfF1X48UIlVlZNLb1JhksLL%2BDPpSgMjEsGK6c1ZRfIlrcbURJWSAtfePFKUVWaJ%2BKb0Ix%2BUPjptutVUc1ilira8Gr1H1U%2BpXF%2F%2FwBfFVpSscAgNzc%2FlT1KOPuUP9eRxRERisWL%2FwCFPFQSsREsTZX88UorEHWyX48ULA%2F54htTr44pHGJis1HlDyOKGlQxy61B0R%2F3HimrqBI4n31G%2FwBKERIq02Sz7UFjIiI9nU6l7f4pwNqMpLP23GrPUgJFY%2B%2Fm%2B9GFIM5J89Q7804SspL8haz7Vnw4QZHFDPU78VoYUZFZe%2B%2B7PQsGEpZ9ayuQzu9Vwol8SvXchn%2BtRYtL4aMUO1qAHQLDUqCrW5pXCVJn6X8uFqycEXh6My3Z6EkKYfBAoZ6UXyeP%2FlNdqkEliBhuiLxUiQVmcF%2FrvQjAHLrOLKDqzmirrkMcT7bacHmtXaJxyVXIt5HmrKHrjFyxOnjmnPqUcQZueW581lRgYiUHP9OfNIwmOOBchxoOeakfVXJHrqOKEwTAKTrpwOaSxMQZueW580RUxTPrQm40581cU2FlibXH6TvV1QrISRkThmoQdAVipJ%2FT5qyiShmicW3qwsNFSYWXW25tVVgDJCqXCWpTeyoEAS7bVeJvfEIiqduKsxE5LOw2LWWhGK5wCi420NJjmDAwKA3DL54qBGIlqpFwePFBAIEIsQpOvA4pVJxJmxUakvccUJokGUGdjfmoAYkE4lFDKv8AqnCY45IWOLu1qjG9cQxR9X04qBOOU1Ba5%2FELpUV9HWe37jo6oRJ7OyUYwCj5SkgvzWfrVtantjdnf3dxl2dvfLsnIhZylKRLIFN6pMeSD%2FVuxnPJf5DZw98agkzkg%2F6FVuppws0mc1n%2FANCE5LOKMHLZSWIMzeyl3qwsj%2BSaH%2Fo%2B6nY1WRH%2BSQJTs0cEnarETfyTEB%2F0Lkup2qwmM5LM%2FwAhTZSz%2BKQ7%2FZ%2FefcfZ%2Fc9Xd09xEgYqMpASAkuMkRQUesfXzPqYw18%2FVl28oXF4ah35rYwUKtFUjdDdKLUCCIhIb71InIymMVVXfepMPlFYu2%2B%2Fmmph8fgzb81dTe2S46JrtapBCgGGpZ2tVkEiSy9FP4u4oODASy6%2FTUCx3opm0JEgqSXCtsvNOGSAMlUrjtx5pIOOIClCToOKESI5TWTuLc%2BaeBgIrByujDfzR6QBERKrcOl70o%2BuVz8Wb9tHEPTEexRTp%2BdVVJRZ3Ul258vUjERz61JVRpz5oXQ6OBcJatA%2ByiwCcbVESySPxv8Atom0o5ZTYapbfWrzAD5Qtovx3v8AjUQ%2BJRLj9NRZ1FkTjaqBvbG0bn9PDVKl1k44tvzUqYZZQsijZb0VTaFjiUW%2B978VocIxVg6bhwnihCRikWNzr%2BVU2eKOOU2OqvzTwAGOXWxuz6r4oLNiVDKNR9KkGUMVx%2FtjVEFhhrc6%2BOKVVMsmTd7v4oFMMc%2Btiqh154opmwssT7a8tWhCrvNWcPteoiRkkffU%2Fqo6lEyyn77pdnq4Apyh7bbu9RCnE%2B6FQ7%2FSospUe2ln2vVAyyx%2Bep3e1VVKvJJ%2F5Z%2BKqqYE5Q99Qz70HqUb4I7X5rTM0pJKPXS77WegpkCkf%2BetkP1qm0qQ9p%2Bm%2B7vVwBDlD0Tl2eosksT6q4Z6iEKj10u%2B1qoAhw%2BGpUPZqTVIVl6%2BLu9ApiDl1%2Bmod9%2BazVNoZC6u7eea2Jo%2Bq6qm3HmpCQjjFzc6D60TaUccp%2Bx105p9wgMcoOVbTnzQQkcTe40%2FOpMyhz8bJ%2B2qaTeuA9jco2rPelU%2Bqyvy3PJoopjjn1uVUMnNFM3A6OBcJatA%2ByiwCcbVESySPxv%2B2ibSjllNhqlt9avMAPlC2i%2FHe%2F41EPiUS4%2FTUWdRZE42qgb2xtG5%2FTw1SpdZOOLb81KmGWULIo2W9FU2hsSiorve%2FFbCvVbOm4slCEkxiUKKdfyokRIjlNjy%2FNPuEAAZQQHcP%2B7xQmYxLEuNfypwcxmEkIcR30xqiCDEMbnXxxUslgZsQl358UCunR1nt7%2Bjq64k9vZKMYBQFMpINqLq2tT2xuz7j7jtMuzt7pdkyRlOUpSkwRyXpkk1Bm3o%2Fknkv8hs4BO16sJMpzAH%2FUqTf2%2BlU2lGXYsv%2Bh11LPVjxZGc1h7qDyXepN%2FJNCf5Cqh1OtGImHZMH5sQ4U7U4Tfydgh%2F9HUgFTxUmzkTL3PhSgenIrv9n959x9p9x09%2FR2mMomKxWSSAkDjJEUFHrn9%2FM%2BpjDfz9WV5kb4I7X5roxNKSSj10u%2B1noKZApH%2FnrZD9aptKkPafpvu71cAQ5Q9E5dnqLJLE%2BquGeohCo9dLvtaqAIcPhqVD2ak1SFZevi7vQKYg5dfpqHffms1TaGQuru3nmtiaPquqptx5qQkI4xc3Og%2BtE2lHHKfsddOafcIDHKDlW0580EJHE3uNPzqTMoc%2FGyftqmk3rgPY3KNqz3pVPqsr8tzyaKKY459blVDJzRTNwOjgXCWrQPsosAnG1REskj8b%2Ftom0o5ZTYapbfWrzAD5Qtovx3v%2BNRD4lEuP01FnUWRONqoG9sbRuf08NUqXWTji2%2FNSphllCyKNlvRVNoWOJRb73vxWhwjFWDpuHCeKEJGKRY3Ov5VTZ4o45TY6q%2FNPAAY5dbG7Pqvigs2JUMo1H0qQZQxXH%2B2NUQWGGtzr44pVUyyZN3u%2FigUwxz62KqHXniimbSyF1d2881oTR9V1VNuPNSEhHGLm50H1om0o45T9jrpzT7hAY5Qcq2nPmghI4m9xp%2BdSZlDn42T9tU0m9cB7G5RtWe9Kp9VlflueTRRTHHPrcqoZOaKZuB0cC4S1aB9lFgE42qIlkkfjf9tE2lHLKbDVLb61eYAfKFtF%2BO9%2FxqIfEolx%2Bmos6iyJxtVA3tjaNz%2BnhqlS6yccW35qVMMsoWRRst6KptCxxKLfe9%2BK0OEYqwdNw4TxQhIxSLG51%2FKqbPFHHKbHVX5p4ADHLrY3Z9V8UFmxKhlGo%2BlSDKGK4%2F2xqiCww1udfHFKqmWTJu938UCmGOfWxVQ688UUzYWWJ9teWrQhV3mrOH2vURIySPvqf1UdSiZZT990uz1cAU5Q9tt3eohTifdCod%2FpUWUqPbSz7XqgZZY%2FPU7vaqqlXkk%2F8s%2FFVVMCcoe%2BoZ96D1AQxJEbEb881vDM0pXsLc7VlA%2FGJxCKd%2FrVCSmU%2FUa%2F5px4AHlBIjdfx80LLXiWBcb%2FAFpwstaSEBRH%2FwDmrBH%2FAI%2BOpZ%2BOalaSUMlAbzvQK6dMJdvf0dMICXZ2SjGAXWUkFzrRfJbWp7Zhuzv%2B57TLs7ezsn2SI9pylKRACOSVpkk0M2jLuyVZInKKlXi9TKXegeak81Ta9UZdqyeeqOd6vMLNGXasFMkN1XepZbPuQlZKoS680Yi9Ydnat5IQ7khUpxKm%2Fk7sLyuVuqNViJsu0mTyQ2DnWnIrv9n93939n9x09%2FTOUTExJCyEZASBxkhCgpXP7ksxW%2Fn6svjyshdXdvPNdGJo%2Bq6qm3HmpCQjjFzc6D60TaUccp%2Bx105p9wgMcoOVbTnzQQkcTe40%2FOpMyhz8bJ%2B2qaTeuA9jco2rPelU%2Bqyvy3PJoopjjn1uVUMnNFM3A6OBcJatA%2ByiwCcbVESySPxv%2B2ibSjllNhqlt9avMAPlC2i%2FHe%2F41EPiUS4%2FTUWdRZE42qgb2xtG5%2FTw1SpdZOOLb81KmGWULIo2W9FU2hY4lFvve%2FFaHCMVYOm4cJ4oQkYpFjc6%2FlVNnijjlNjqr808ABjl1sbs%2Bq%2BKCzYlQyjUfSpBlDFcf7Y1RBYYa3OvjilVTLJk3e7%2BKBTDHPrYqodeeKKZsLLE%2B2vLVoQq7zVnD7XqIkZJH31P6qOpRMsp%2B%2B6XZ6uAKcoe227vUQpxPuhUO%2F0qLKVHtpZ9r1QMssfnqd3tVVSrySf%2BWfiqqmBOUPfUM%2B9B6jEodHCOOa0zNKQqHFkuNqkmUSkXFzqKJsqMTlNg668058AETlCzXcb0EIcCF1GopWGQqC3xS%2F7aJpDE4aXOo4alVRBWTjhwNaBTCJy6y1xchb0UzaVjiUW%2B978VocIxVg6bhwnihCRikWNzr%2BVU2eKOOU2OqvzTwAGOXWxuz6r4oLNiVDKNR9KkGUMVx%2FtjVEFhhrc6%2BOKVVMsmTd7v4oFMMc%2Btiqh154opmwssT7a8tWhCrvNWcPteoiRkkffU%2Fqo6lEyyn77pdnq4Apyh7bbu9RCnE%2B6FQ7%2FSospUe2ln2vVAyyx%2Bep3e1VVKvJJ%2F5Z%2BKqqYE5Q99Qz70HqUb4I7X5rTM0pJKPXS77WegpkCkf%2BetkP1qm0qQ9p%2Bm%2B7vVwBDlD0Tl2eosksT6q4Z6iEKj10u%2B1qoAhw%2BGpUPZqTVIVl6%2BLu9ApiDl1%2Bmod9%2BazVNoQGJclwreea6Dikityqf680JMhHGJdFOg%2BtE2VEDKbnVW5p4AADKCElENhZfNCYAGJu5Gn50nxkAkhLiNvw80IIMbm5RtW5pXhIiDNV5ZdfNArp0dR7e%2Fo6utT2dkoxhFgplJA5NF8mWp7Y3Z3%2Fc9pl2dvZ2T7JEe05SlIgBHJK0ySaGbRl3ZKskTlFSrxeplLvQPNSeapteqMu1ZPPVHO9XmFmjLtWCmSG6rvUstn3ISslUJdeaMResOztW8kIdyQqU4lTfyd2F5XK3VGqxE2XaTJ5IbBzrTkV3%2Bz%2B7%2B7%2Bz%2B46e%2FpnKJiYkhZCMgJA4yQhQUrn9yWYrfz9WXx5WQuru3nmujE0fVdVTbjzUhIRxi5udB9aJtKOOU%2FY66c0%2B4QGOUHKtpz5oISOJvcafnUmZQ5%2BNk%2FbVNJvXAexuUbVnvSqfVZX5bnk0UUxxz63KqGTmimbgdHAuEtWgfZRYBONqiJZJH43%2FbRNpRyymw1S2%2BtXmAHyhbRfjvf8aiHxKJcfpqLOosicbVQN7Y2jc%2Fp4apUusnHFt%2BalTDLKFkUbLeiqbQscSi33vfitDhGKsHTcOE8UISMUixudfyqmzxRxymx1V%2BaeAAxy62N2fVfFBZsSoZRqPpUgyhiuP9saogsMNbnXxxSqplkybvd%2FFAphjn1sVUOvPFFM2FlifbXlq0IVd5qzh9r1ESMkj76n9VHUomWU%2FfdLs9XAFOUPbbd3qIU4n3QqHf6VFlKj20s%2B16oGWWPz1O72qqpV5JP%2FLPxVVTAnKHvqGfeg9RiUOjhHHNaZmlIVDiyXG1STKJSLi51FE2VGJymwddeac%2BACJyhZruN6CEOBC6jUUrDIVBb4pf9tE0hicNLnUcNSqogrJxw4GtAphE5dZa4uQt6KZtKxxKLfe9%2BK0OEYqwdNw4TxQhIxSLG51%2FKqbPFHHKbHVX5p4ADHLrY3Z9V8UFmxKhlGo%2BlSDKGK4%2F2xqiCww1udfHFKqmWTJu938UCmGOfWxVQ688UUzYWWJ9teWrQhV3mrOH2vURIySPvqf1UdSiZZT990uz1cAU5Q9tt3eohTifdCod%2FpUWUqPbSz7XqgZZY%2FPU7vaqqlXkk%2F8ALPxVVTAnKHvqGfeg9SjfBHa%2FNaZmlJJR66Xfaz0FMgUj%2FwA9bIfrVNpUh7T9N93ergCHKHonLs9RZJYn1Vwz1EIVHrpd9rVQBDh8NSoezUmqQrL18Xd6BTEHLr9NQ7781mqbQgMS5LhW8810HFJFblU%2F15oSZCOMS6KdB9aJsqIGU3OqtzTwAAGUEJKIbCy%2BaEwAMTdyNPzpPjIBJCXEbfh5oQQY3NyjatzSvCREGaryy6%2BaBXTo6j29%2FR1dans7JRjCLBTKSByaL5MtT2xuzv8Aue0y7O3s7J9kiPacpSkQAjklaZJNDNoy7slWSJyipV4vUyl3oHmpPNU2vVGXasnnqjnerzCzRl2rBTJDdV3qWWz7kJWSqEuvNGIvWHZ2reSEO5IVKcSpv5O7C8rlbqjVYibLtJk8kNg51pyK7%2FZ%2Fd%2Fd%2FZ%2FcdPf0zlExMSQshGQEgcZIQoKVz%2B5LMVv5%2BrL48rIXV3bzzXRiaPquqptx5qQkI4xc3Og%2BtE2lHHKfsddOafcIDHKDlW0580EJHE3uNPzqTMoc%2FGyftqmk3rgPY3KNqz3pVPqsr8tzyaKKY459blVDJzRTNwOjgXCWrQPsosAnG1REskj8b%2Ftom0o5ZTYapbfWrzAD5Qtovx3v%2BNRD4lEuP01FnUWRONqoG9sbRuf08NUqXWTji2%2FNSphllCyKNlvRVNoWOJRb73vxWhwjFWDpuHCeKEJGKRY3Ov5VTZ4o45TY6q%2FNPAAY5dbG7Pqvigs2JUMo1H0qQZQxXH%2B2NUQWGGtzr44pVUyyZN3u%2FigUwxz62KqHXniimbCyxPtry1aEKu81Zw%2B16iJGSR99T%2BqjqUTLKfvul2ergCnKHttu71EKcT7oVDv8ASospUe2ln2vVAyyx%2Bep3e1VVKvJJ%2FwCWfiqqmBOUPfUM%2B9B6jEodHCOOa0zNKQqHFkuNqkmUSkXFzqKJsqMTlNg668058AETlCzXcb0EIcCF1GopWGQqC3xS%2FwC2iaQxOGlzqOGpVUQVk44cDWgUwicustcXIW9FM2lY4lFvve%2FFaHCMVYOm4cJ4oQkYpFjc6%2FlVNnijjlNjqr808ABjl1sbs%2Bq%2BKCzYlQyjUfSpBlDFcf7Y1RBYYa3OvjilVTLJk3e7%2BKBTDHPrYqodeeKKZsLLE%2B2vLVoQq7zVnD7XqIkZJH31P6qOpRMsp%2B%2B6XZ6uAKcoe227vUQpxPuhUO%2F0qLKVHtpZ9r1QMssfnqd3tVVSrySf%2BWfiqqmBOUPfUM%2B9B6lG%2BCO1%2Ba0zNKSSj10u%2B1noKZApH%2FnrZD9aptKkPafpvu71cAQ5Q9E5dnqLJLE%2BquGeohCo9dLvtaqAIcPhqVD2ak1SFZevi7vQKYg5dfpqHffms1TaEBiXJcK3nmug4pIrcqn%2BvNCTIRxiXRToPrRNlRAym51VuaeAAAyghJRDYWXzQmABibuRp%2BdJ8ZAJIS4jb8PNCCDG5uUbVuaV4SIgzVeWXXzQK6dHUe3v6OrrU9nZKMYRYKZSQOTRfJlqe2N2d%2F3PaZdnb2dk%2ByRHtOUpSIARyStMkmhm0Zd2SrJE5RUq8XqZS70DzUnmqbXqjLtWTz1RzvV5hZoy7Vgpkhuq71LLZ9yErJVCXXmjEXrDs7VvJCHckKlOJU38ndheVyt1RqsRNl2kyeSGwc605Fd%2Fs%2Fu%2Fu%2Fs%2FuOnv6ZyiYmJIWQjICQOMkIUFK5%2FclmK38%2FVl8eVkLq7t55roxNH1XVU2481ISEcYubnQfWibSjjlP2OunNPuEBjlByrac%2BaCEjib3Gn51JmUOfjZP21TSb1wHsblG1Z70qn1WV%2BW55NFFMcc%2Btyqhk5opm4HRwLhLVoH2UWATjaoiWSR%2BN%2F20TaUcspsNUtvrV5gB8oW0X473%2FGoh8SiXH6aizqLInG1UDe2No3P6eGqVLrJxxbfmpUwyyhZFGy3oqm0LHEot9734rQ4RirB03DhPFCEjFIsbnX8qps8UccpsdVfmngAMcutjdn1XxQWbEqGUaj6VIMoYrj%2FAGxqiCww1udfHFKqmWTJu938UCmGOfWxVQ688UUzYWWJ9teWrQhV3mrOH2vURIySPvqf1UdSiZZT990uz1cAU5Q9tt3eohTifdCod%2FpUWUqPbSz7XqgZZY%2FPU7vaqqlXkk%2F8s%2FFVVMCcoe%2BoZ96D1GJQ6OEcc1pmaUhUOLJcbVJMolIuLnUUTZUYnKbB115pz4AInKFmu43oIQ4ELqNRSsMhUFvil%2F20TSGJw0udRw1KqiCsnHDga0CmETl1lri5C3opm0rHEot9734rQ4RirB03DhPFCEjFIsbnX8qps8UccpsdVfmngAMcutjdn1XxQWbEqGUaj6VIMoYrj%2FbGqILDDW518cUqqZZMm73fxQKYY59bFVDrzxRTNhZYn215atCFXeas4fa9REjJI%2B%2Bp%2FVR1KJllP33S7PVwBTlD223d6iFOJ90Kh3%2BlRZSo9tLPteqBllj89Tu9qqqVeST%2FAMs%2FFVVMCcoe%2BoZ96D1KN8Edr81pmaUklHrpd9rPQUyBSP8Az1sh%2BtU2lSHtP033d6uAIcoeicuz1FklifVXDPUQhUeul32tVAEOHw1Kh7NSapCsvXxd3oFMQcuv01DvvzWaptCAxLkuFbzzXQcUkVuVT%2FXmhJkI4xLop0H1omyogZTc6q3NPAAAZQQkohsLL5oTAAxN3I0%2FOk%2BMgEkJcRt%2BHmhBBjc3KNq3NK8JEQZqvLLr5oFdOjqPb39HV1qezslGMIsFMpIHJovky1PbG7O%2F7ntMuzt7OyfZIj2nKUpEAI5JWmSTQzaMu7JVkicoqVeL1Mpd6B5qTzVNr1Rl2rJ56o53q8ws0ZdqwUyQ3Vd6lls%2B5CVkqhLrzRiL1h2dq3khDuSFSnEqb%2BTuwvK5W6o1WImy7SZPJDYOdaciu%2F2f3f3f2f3HT39M5RMTEkLIRkBIHGSEKClc%2FuSzFb%2Bfqy%2BPKyF1d28810Ymj6rqqbceakJCOMXNzoPrRNpRxyn7HXTmn3CAxyg5VtOfNBCRxN7jT86kzKHPxsn7appN64D2Nyjas96VT6rK%2FLc8miimOOfW5VQyc0UzcDo4Fwlq0D7KLAJxtURLJI%2FG%2FwC2ibSjllNhqlt9avMAPlC2i%2FHe%2FwCNRD4lEuP01FnUWRONqoG9sbRuf08NUqXWTji2%2FNSphllCyKNlvRVNoWOJRb73vxWhwjFWDpuHCeKEJGKRY3Ov5VTZ4o45TY6q%2FNPAAY5dbG7Pqvigs2JUMo1H0qQZQxXH%2B2NUQWGGtzr44pVUyyZN3u%2FigUwxz62KqHXniimbCyxPtry1aEKu81Zw%2B16iJGSR99T%2BqjqUTLKfvul2ergCnKHttu71EKcT7oVDv9KiylR7aWfa9UDLLH56nd7VVUq8kn%2Fln4qqpgTlD31DPvQeoxKHRwjjmtMzSkKhxZLjapJlEpFxc6iibKjE5TYOuvNOfABE5Qs13G9BCHAhdRqKVhkKgt8Uv%2B2iaQxOGlzqOGpVUQVk44cDWgUwicustcXIW9FM2lY4lFvve%2FFaHCMVYOm4cJ4oQkYpFjc6%2FlVNnijjlNjqr808ABjl1sbs%2Bq%2BKCzYlQyjUfSpBlDFcf7Y1RBYYa3OvjilVTLJk3e7%2BKBTDHPrYqodeeKKZsLLE%2B2vLVoQq7zVnD7XqIkZJH31P6qOpRMsp%2B%2B6XZ6uAKcoe227vUQpxPuhUO%2F0qLKVHtpZ9r1QMssfnqd3tVVSrySf%2BWfiqqmBOUPfUM%2B9B6lG%2BCO1%2Ba0zNKSSj10u%2B1noKZApH%2FnrZD9aptKkPafpvu71cAQ5Q9E5dnqLJLE%2BquGeohCo9dLvtaqAIcPhqVD2ak1SFZevi7vQKYg5dfpqHffms1TaGQuru3nmtiaPquqptx5qQkI4xc3Og%2BtE2lHHKfsddOafcIDHKDlW0580EJHE3uNPzqTMoc%2FGyftqmk3rgPY3KNqz3pVPqsr8tzyaKKY459blVDJzRTNx%2F%2F9k%3D%29%200%200%20repeat%2Dx%3Bborder%2Dbottom%3Asolid%201px%20%23275da1%3Btext%2Dalign%3Acenter%7Dheader%20%2Einner%20%2Etitle%7Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A%2E5em%3Bfont%2Dsize%3A2em%3Bfont%2Dweight%3A700%3Bline%2Dheight%3A1%3Bcolor%3A%23fff%7Dheader%20%2Einner%20%2Esubtitle%7Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A1em%3Bfont%2Dsize%3A1%2E5em%3Bfont%2Dweight%3A400%3Bline%2Dheight%3A1%2E3%3Bcolor%3A%239ddcff%7Dheader%20%2Einner%20%2Eauthor%2Cheader%20%2Einner%20%2Edate%7Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A%2E75em%3Bfont%2Dsize%3A1%2E2em%3Bfont%2Dweight%3A400%3Bline%2Dheight%3A1%2E2%3Bcolor%3A%239ddcff%7Dheader%20%2Einner%20%3Alast%2Dchild%7Bmargin%2Dbottom%3A0%7Dp%7Bmargin%3A16px%200%7Da%7Btext%2Ddecoration%3Anone%3Bcolor%3A%232879d0%7Da%3Ahover%7Bcolor%3A%232268b2%7Dcode%2Cpre%7Bfont%2Dfamily%3AConsolas%2C%22Bitstream%20Vera%20Sans%20Mono%22%2C%22Lucida%20Console%22%2CTerminal%2Cmonospace%3Bcolor%3A%23222%7Dcode%7Bpadding%3A0%203px%3Bbackground%2Dcolor%3A%23f2f8fc%3Bborder%3Asolid%201px%20%23dbe7f3%7Dpre%7Bmargin%3A16px%200%3Bpadding%3A20px%3Boverflow%3Aauto%3Btext%2Dshadow%3Anone%3Bbackground%3A%23fff%3Bborder%3Asolid%201px%20%23f2f2f2%3Bfont%2Dsize%3A%2E9em%7Dpre%20code%7Bpadding%3A0%3Bcolor%3A%233b7abd%3Bbackground%2Dcolor%3A%23fff%3Bborder%3Anone%7Dhr%7Bheight%3A0%3Bmargin%3A16px%200%3Bborder%3A0%3Bborder%2Dtop%3Asolid%201px%20%23ddd%7Dtable%7Bwidth%3A100%25%3Boverflow%3Aauto%3Bword%2Dbreak%3Anormal%3Bword%2Dbreak%3Akeep%2Dall%3B%2Dwebkit%2Doverflow%2Dscrolling%3Atouch%3Bborder%2Dcollapse%3Acollapse%3Bborder%2Dspacing%3A0%3Bmargin%3A16px%200%7Dtable%20th%7Bfont%2Dweight%3A700%3Bbackground%2Dcolor%3A%2363a0e1%3Bcolor%3A%23fff%7Dtable%20td%2Ctable%20th%7Bborder%2Dbottom%3A1px%20solid%20%23bbb%3Btext%2Dalign%3Aleft%3Bpadding%3A10px%7Dtable%20tr%3Anth%2Dchild%28odd%29%7Bbackground%2Dcolor%3A%23eee%7Dtable%20tr%3Anth%2Dchild%28even%29%7Bbackground%2Dcolor%3A%23fff%7Dblockquote%7Bpadding%3A0%200%200%2020px%3Bmargin%2Dtop%3A16px%3Bmargin%2Dbottom%3A16px%3Bfont%2Dsize%3A1%2E1em%3Bborder%2Dleft%3A10px%20solid%20%23e9e9e9%7Dol%2Cul%7Blist%2Dstyle%2Dposition%3Ainside%3Bmargin%2Dtop%3A0%3Bpadding%2Dleft%3A30px%7Dul%7Blist%2Dstyle%3Adisc%7Dol%7Blist%2Dstyle%3Adecimal%7D%2Etoc%7Bpadding%2Dtop%3A30px%7D%2Etoc%20%2Einner%7Bpadding%3A20px%3Bbackground%2Dcolor%3A%23f3f6fa%3Bborder%3Asolid%201px%20%23dce6f0%7D%2Etoc%20%2Einner%20%2Etoc%2Dtitle%7Bmargin%3A0%200%2016px%3Btext%2Dalign%3Acenter%7D%2Etoc%20%2Einner%20ul%7Bmargin%3A0%7D%23content%2Dwrapper%7Bpadding%2Dtop%3A30px%7D%23main%2Dcontent%3E%3Afirst%2Dchild%7Bmargin%2Dtop%3A0%7D%23main%2Dcontent%20img%7Bmax%2Dwidth%3A100%25%7D%23main%2Dcontent%20h1%7Bmargin%2Dtop%3A0%3Bmargin%2Dbottom%3A0%3Bfont%2Dsize%3A2em%3Bfont%2Dweight%3A700%3Bcolor%3A%23474747%3Bletter%2Dspacing%3A%2D1px%7D%23main%2Dcontent%20h1%3Abefore%7Bpadding%2Dright%3A%2E3em%3Bmargin%2Dleft%3A%2D%2E8em%3Bcolor%3A%239ddcff%3Bcontent%3A%22%2F%22%7D%23main%2Dcontent%20h2%7Bmargin%2Dbottom%3A8px%3Bfont%2Dsize%3A1%2E5em%3Bfont%2Dweight%3A700%3Bcolor%3A%23474747%7D%23main%2Dcontent%20h2%3Abefore%7Bpadding%2Dright%3A%2E3em%3Bmargin%2Dleft%3A%2D1%2E2em%3Bcontent%3A%22%2F%2F%22%3Bcolor%3A%239ddcff%7D%23main%2Dcontent%20h3%7Bmargin%2Dtop%3A24px%3Bmargin%2Dbottom%3A8px%3Bfont%2Dsize%3A1%2E2em%3Bfont%2Dweight%3A700%3Bcolor%3A%23474747%7D%23main%2Dcontent%20h3%3Abefore%7Bpadding%2Dright%3A%2E3em%3Bmargin%2Dleft%3A%2D1%2E7em%3Bcontent%3A%22%2F%2F%2F%22%3Bcolor%3A%239ddcff%7D%23main%2Dcontent%20h4%7Bmargin%2Dbottom%3A8px%3Bfont%2Dsize%3A1%2E1em%3Bfont%2Dweight%3A700%3Bcolor%3A%23474747%7D%23main%2Dcontent%20h4%3Abefore%7Bpadding%2Dright%3A%2E3em%3Bmargin%2Dleft%3A%2D2em%3Bcontent%3A%22%2F%2F%2F%2F%22%3Bcolor%3A%239ddcff%7D%23main%2Dcontent%20h5%7Bmargin%2Dbottom%3A8px%3Bfont%2Dsize%3A1em%3Bcolor%3A%23474747%7D%23main%2Dcontent%20h5%3Abefore%7Bpadding%2Dright%3A%2E3em%3Bmargin%2Dleft%3A%2D2%2E4em%3Bcontent%3A%22%2F%2F%2F%2F%2F%22%3Bcolor%3A%239ddcff%7D%23main%2Dcontent%20h6%7Bmargin%2Dbottom%3A8px%3Bfont%2Dsize%3A%2E9em%3Bcolor%3A%23474747%7D%23main%2Dcontent%20h6%3Abefore%7Bpadding%2Dright%3A%2E3em%3Bmargin%2Dleft%3A%2D3em%3Bcontent%3A%22%2F%2F%2F%2F%2F%2F%22%3Bcolor%3A%239ddcff%7D%2Eclearfix%3Aafter%7Bdisplay%3Ablock%3Bheight%3A0%3Bclear%3Aboth%3Bvisibility%3Ahidden%3Bcontent%3A%22%2E%22%7D%2Eclearfix%7Bdisplay%3Ainline%2Dblock%7D%2A%20html%20%2Eclearfix%7Bheight%3A1%25%7D%2Eclearfix%7Bdisplay%3Ablock%7D%40media%20screen%20and%20%28min%2Dwidth%3A768px%29%20and%20%28max%2Dwidth%3A960px%29%7B%2Einner%7Bwidth%3A740px%7D%23main%2Dcontent%20h1%3Abefore%2C%23main%2Dcontent%20h2%3Abefore%2C%23main%2Dcontent%20h3%3Abefore%2C%23main%2Dcontent%20h4%3Abefore%2C%23main%2Dcontent%20h5%3Abefore%2C%23main%2Dcontent%20h6%3Abefore%7Bpadding%2Dright%3A0%3Bmargin%2Dleft%3A0%3Bcontent%3Anone%7D%7D%40media%20screen%20and%20%28max%2Dwidth%3A768px%29%7B%2Einner%7Bwidth%3A93%25%7Dheader%7Bpadding%3A20px%200%7Dheader%20%2Einner%7Bposition%3Arelative%7Dheader%20%2Einner%20%2Esubtitle%2Cheader%20%2Einner%20%2Etitle%7Bwidth%3A100%25%7Dheader%20%2Einner%20%2Etitle%7Bfont%2Dsize%3A1%2E75em%7Dheader%20%2Einner%20%2Esubtitle%7Bfont%2Dsize%3A1%2E2em%7Dheader%20%2Einner%20%2Eauthor%2Cheader%20%2Einner%20%2Edate%7Bfont%2Dsize%3A1em%7D%23main%2Dcontent%20h1%3Abefore%2C%23main%2Dcontent%20h2%3Abefore%2C%23main%2Dcontent%20h3%3Abefore%2C%23main%2Dcontent%20h4%3Abefore%2C%23main%2Dcontent%20h5%3Abefore%2C%23main%2Dcontent%20h6%3Abefore%7Bpadding%2Dright%3A0%3Bmargin%2Dleft%3A0%3Bcontent%3Anone%7D%7Dcode%20span%2Ekw%20%7B%20color%3A%20%23a71d5d%3B%20font%2Dweight%3A%20normal%3B%20%7D%20%0Acode%20span%2Edt%20%7B%20color%3A%20%23795da3%3B%20%7D%20%0Acode%20span%2Edv%20%7B%20color%3A%20%230086b3%3B%20%7D%20%0Acode%20span%2Ebn%20%7B%20color%3A%20%230086b3%3B%20%7D%20%0Acode%20span%2Efl%20%7B%20color%3A%20%230086b3%3B%20%7D%20%0Acode%20span%2Ech%20%7B%20color%3A%20%234070a0%3B%20%7D%20%0Acode%20span%2Est%20%7B%20color%3A%20%23183691%3B%20%7D%20%0Acode%20span%2Eco%20%7B%20color%3A%20%23969896%3B%20font%2Dstyle%3A%20italic%3B%20%7D%20%0Acode%20span%2Eot%20%7B%20color%3A%20%23007020%3B%20%7D%20%0A" type="text/css" />
</head>
<body>
<header>
<div class="inner">
<h1 class="title toc-ignore">Download e Preparação dos Dados</h1>
<h3 class="author">Mário Olímpio de Menezes</h3>
<h3 class="date">20 September, 2022</h3>
</div>
</header>
<div id="TOC" class="toc">
<div class="inner">
<ul>
<li><a href="#download-das-bases">Download das bases</a>
<ul>
<li><a href="#eu-open-data-portal">EU Open Data Portal</a></li>
<li><a href="#base-de-dados-da-john-hopkins-university">Base de dados da John Hopkins University</a></li>
<li><a href="#base-de-dados-do-kaggle---coronavirus---brazil">Base de Dados do Kaggle - Coronavirus - Brazil</a></li>
<li><a href="#base-de-dados-do-brasil-a-partir-do-projeto-brasil.io">Base de Dados do Brasil a partir do Projeto Brasil.io</a></li>
<li><a href="#base-de-dados-população-mundial">Base de Dados População Mundial</a></li>
</ul></li>
</ul>
</div>
</div>
<div id="content-wrapper">
<div class="inner clearfix">
<section id="main-content">
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(tidyverse)</span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(magrittr)</span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(lubridate)</span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(ggpubr)</span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(readxl)</span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(knitr)</span>
<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(kableExtra)</span>
<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(stringi)</span>
<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(rvest)</span>
<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(countrycode)</span></code></pre></div>
<div id="download-das-bases" class="section level1">
<h1>Download das bases</h1>
<p>As bases de dados utilizadas são:</p>
<ul>
<li>EU Open Data Portal</li>
<li>John Hopkins University - CCSSE</li>
<li>Worldometer</li>
<li>Kaggle - Raphael Fontes</li>
</ul>
<div id="eu-open-data-portal" class="section level2">
<h2>EU Open Data Portal</h2>
<p>Os dados desta seção vieram do <a href="https://data.europa.eu/euodp/en/">Europe Open Data Portal</a> – <code>https://data.europa.eu/euodp/en/</code></p>
<p><em>2020-03-26:</em> Houve uma mudança na nomenclatura dos arquivos; a partir da atualização de <em>25 de Março de 2020</em> o arquivo não mais tem o sufixo no formato da data, por exemplo, “…<code>2020-03-24</code>.xlsx”. Assim, algumas partes do código estão sendo mudadas para refletir esta mudança. Não sei se é uma mudança permanente ou alguém esqueceu de colocar o nome correto do arquivo.</p>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="co"># alteracoes na nomenclatura dos arquivos e adicao de mais uma coluna (populacao do pais - base 2018 Banco Mundial)</span></span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a><span class="co">#covid19URLbase <- "https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide-"</span></span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>covid19URLbase <span class="ot"><-</span> <span class="st">"https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide"</span></span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a>hoje <span class="ot"><-</span> <span class="fu">format</span>(<span class="fu">today</span>(), <span class="st">"%Y-%m-%d"</span>) <span class="co"># vou manter para anexar no nome e saber cada atualização feita.</span></span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a><span class="co">#hoje <- "2020-03-24"</span></span>
<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a>arqdest <span class="ot"><-</span> <span class="fu">paste</span>(<span class="st">"COVID-19-geographic-distribution-worldwide-"</span>,hoje,<span class="st">".xlsx"</span>,<span class="at">sep=</span><span class="st">""</span>)</span></code></pre></div>
<!--
https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide-2020-03-18.xls
https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide.xlsx
https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide.xlsx
-->
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="co"># para fazer o download da base; acerte os caminhos e execute este chunk</span></span>
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a><span class="cf">if</span> (<span class="sc">!</span><span class="fu">file.exists</span>(<span class="fu">paste</span>(<span class="st">"~/datasets/ECDC_Europe"</span>,arqdest,<span class="at">sep=</span><span class="st">"/"</span>)) <span class="sc">||</span> <span class="sc">!</span><span class="fu">file.exists</span>(<span class="fu">paste</span>(<span class="st">"./data"</span>,arqdest,<span class="at">sep=</span><span class="st">"/"</span>))) {</span>
<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a> curl<span class="sc">::</span><span class="fu">curl_download</span>(<span class="fu">paste</span>(covid19URLbase,<span class="st">".xlsx"</span>,<span class="at">sep=</span><span class="st">""</span>), <span class="fu">paste</span>(<span class="st">"~/datasets/ECDC_Europe"</span>,arqdest,<span class="at">sep=</span><span class="st">"/"</span>))</span>
<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">print</span>(<span class="fu">paste</span>(<span class="st">"Fazendo download do arquivo"</span>, arqdest,<span class="at">sep=</span><span class="st">":"</span>))</span>
<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">file.copy</span>(<span class="fu">paste</span>(<span class="st">"~/datasets/ECDC_Europe"</span>,arqdest,<span class="at">sep=</span><span class="st">"/"</span>), <span class="fu">paste</span>(<span class="st">"./data"</span>,arqdest, <span class="at">sep=</span><span class="st">"/"</span>))</span>
<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a>} <span class="cf">else</span> {</span>
<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a> hoje <span class="ot"><-</span> <span class="fu">format</span>(<span class="fu">Sys.time</span>() <span class="sc">-</span> <span class="dv">1</span>, <span class="st">"%Y-%m-%d"</span>) <span class="co"># vou manter para anexar no nome e saber cada atualização feita.</span></span>
<span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a> arqdest <span class="ot"><-</span> <span class="fu">paste</span>(<span class="st">"COVID-19-geographic-distribution-worldwide-"</span>,hoje,<span class="st">".xlsx"</span>,<span class="at">sep=</span><span class="st">""</span>)</span>
<span id="cb3-10"><a href="#cb3-10" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<pre><code>## [1] "Fazendo download do arquivo:COVID-19-geographic-distribution-worldwide-2022-09-20.xlsx"</code></pre>
<pre><code>## [1] TRUE</code></pre>
<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a>covid19prep <span class="ot"><-</span> <span class="fu">read_excel</span>(<span class="fu">paste</span>(<span class="st">"./data"</span>,arqdest,<span class="at">sep=</span><span class="st">"/"</span>))</span></code></pre></div>
<p>A estrutura dos dados é:</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="fu">str</span>(covid19prep)</span></code></pre></div>
<pre><code>## tibble[,12] [61,900 × 12] (S3: tbl_df/tbl/data.frame)
## $ dateRep : POSIXct[1:61900], format: "2020-12-14" "2020-12-13" ...
## $ day : num [1:61900] 14 13 12 11 10 9 8 7 6 5 ...
## $ month : num [1:61900] 12 12 12 12 12 12 12 12 12 12 ...
## $ year : num [1:61900] 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 ...
## $ cases : num [1:61900] 746 298 113 63 202 135 200 210 234 235 ...
## $ deaths : num [1:61900] 6 9 11 10 16 13 6 26 10 18 ...
## $ countriesAndTerritories : chr [1:61900] "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" ...
## $ geoId : chr [1:61900] "AF" "AF" "AF" "AF" ...
## $ countryterritoryCode : chr [1:61900] "AFG" "AFG" "AFG" "AFG" ...
## $ popData2019 : num [1:61900] 3.8e+07 3.8e+07 3.8e+07 3.8e+07 3.8e+07 ...
## $ continentExp : chr [1:61900] "Asia" "Asia" "Asia" "Asia" ...
## $ Cumulative_number_for_14_days_of_COVID-19_cases_per_100000: num [1:61900] 9.01 7.05 6.87 7.13 6.97 ...</code></pre>
<p>A partir de 18 de junho de 2020, o ECDC passou a incluir a coluna <code>popData2019</code> ao invés da <code>popData2018</code>. Como os dados são cumulativos, vou alterar o nome da coluna para <strong>popData</strong>.</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a>covid19prep <span class="ot"><-</span> <span class="fu">rename</span>(covid19prep, <span class="at">Country =</span> <span class="st">`</span><span class="at">countriesAndTerritories</span><span class="st">`</span>, <span class="at">DateRep =</span> dateRep, </span>
<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a> <span class="at">Cases =</span> cases, <span class="at">Deaths =</span> deaths, <span class="at">Day =</span> day, <span class="at">Month =</span> month) <span class="sc">%>%</span> </span>
<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">select</span>(Country, DateRep, Cases, Deaths, countryterritoryCode, <span class="at">popData=</span><span class="fu">starts_with</span>(<span class="st">"popData"</span>))</span></code></pre></div>
<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="fu">str</span>(covid19prep)</span></code></pre></div>
<pre><code>## tibble[,6] [61,900 × 6] (S3: tbl_df/tbl/data.frame)
## $ Country : chr [1:61900] "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" ...
## $ DateRep : POSIXct[1:61900], format: "2020-12-14" "2020-12-13" ...
## $ Cases : num [1:61900] 746 298 113 63 202 135 200 210 234 235 ...
## $ Deaths : num [1:61900] 6 9 11 10 16 13 6 26 10 18 ...
## $ countryterritoryCode: chr [1:61900] "AFG" "AFG" "AFG" "AFG" ...
## $ popData : num [1:61900] 3.8e+07 3.8e+07 3.8e+07 3.8e+07 3.8e+07 ...</code></pre>
<p>Como a base do EU Open Data Portal contém o código ISO3C dos países, vou utilizar o pacote <code>countrycode</code> para uniformizar os nomes dos países e adicionar os continentes. Vou retirar aqueles que não estiverem nesta base.</p>
<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a>covid19prep <span class="ot"><-</span> covid19prep <span class="sc">%>%</span> </span>
<span id="cb12-2"><a href="#cb12-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">Country =</span> <span class="fu">if_else</span>(<span class="sc">!</span><span class="fu">is.na</span>(<span class="fu">countrycode</span>(<span class="at">sourcevar =</span> countryterritoryCode, <span class="at">origin =</span> <span class="st">"iso3c"</span>, </span>
<span id="cb12-3"><a href="#cb12-3" aria-hidden="true" tabindex="-1"></a> <span class="at">destination =</span> <span class="st">"country.name"</span>)), </span>
<span id="cb12-4"><a href="#cb12-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">countrycode</span>(<span class="at">sourcevar =</span> countryterritoryCode, <span class="at">origin =</span> <span class="st">"iso3c"</span>, </span>
<span id="cb12-5"><a href="#cb12-5" aria-hidden="true" tabindex="-1"></a> <span class="at">destination =</span> <span class="st">"country.name"</span>), Country), </span>
<span id="cb12-6"><a href="#cb12-6" aria-hidden="true" tabindex="-1"></a> <span class="at">Continent =</span> <span class="fu">countrycode</span>(<span class="at">sourcevar =</span> countryterritoryCode, <span class="at">origin =</span> <span class="st">"iso3c"</span>, </span>
<span id="cb12-7"><a href="#cb12-7" aria-hidden="true" tabindex="-1"></a> <span class="at">destination =</span> <span class="st">"continent"</span>))</span></code></pre></div>
<p>Existem alguns problemas na base de dados, que não vou tratar aqui; simplesmente vou gravar deste modo. Na análise decide-se o que será feito com estes dados.</p>
<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a>covid19prep <span class="sc">%>%</span> <span class="fu">filter</span>(<span class="fu">is.na</span>(Continent))</span></code></pre></div>
<pre><code>## # A tibble: 1,017 x 7
## Country DateRep Cases Deaths countryterritor… popData Continent
## <chr> <dttm> <dbl> <dbl> <chr> <dbl> <chr>
## 1 Cases_on… 2020-03-10 00:00:00 -9 1 <NA> NA <NA>
## 2 Cases_on… 2020-03-02 00:00:00 0 0 <NA> NA <NA>
## 3 Cases_on… 2020-03-01 00:00:00 0 0 <NA> NA <NA>
## 4 Cases_on… 2020-02-29 00:00:00 0 2 <NA> NA <NA>
## 5 Cases_on… 2020-02-28 00:00:00 0 0 <NA> NA <NA>
## 6 Cases_on… 2020-02-27 00:00:00 14 0 <NA> NA <NA>
## 7 Cases_on… 2020-02-26 00:00:00 0 1 <NA> NA <NA>
## 8 Cases_on… 2020-02-25 00:00:00 0 0 <NA> NA <NA>
## 9 Cases_on… 2020-02-24 00:00:00 57 1 <NA> NA <NA>
## 10 Cases_on… 2020-02-23 00:00:00 0 0 <NA> NA <NA>
## # … with 1,007 more rows</code></pre>
<p>Agora vou salvar este <code>data.frame</code> para ser utilizado nas análises. Vou utilizar um nome que indique sempre o último conjunto de dados disponível para esta fonte: <code>eeuucovid19_last.csv</code></p>
<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(covid19prep, <span class="st">"./data/eeuucovid19_last.csv"</span>)</span></code></pre></div>
</div>
<div id="base-de-dados-da-john-hopkins-university" class="section level2">
<h2>Base de dados da John Hopkins University</h2>
<p>O JHU tem um site de monitoramento em tempo real (talvez o mais atualizado) no endereço <code>https://coronavirus.jhu.edu/map.html</code>. Os dados utilizados para o mapa estão em um GitHub <code>https://github.com/CSSEGISandData/COVID-19</code>. Tem dados com atualização diária (parece que no mapa as atualizações são mais constantes; no final do dia são atualizados no GitHub).</p>
<p>Este é o link onde aparece o mapa também: <code>https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases</code></p>
<div id="fazendo-o-download-dos-arquivos-diários-ao-invés-destes-consolidados-não-tem-o-recovered-na-última-atualização" class="section level3">
<h3>Fazendo o download dos arquivos diários ao invés destes consolidados (não tem o Recovered na última atualização)</h3>
<p>O JHU mantém pelo menos 2 formatos dos dados: diários e consolidados (<em>time series</em>). Eu tentei utilizar o formato <em>time series</em> inicialmente, mas mudei para o formato diário, de modo que eu mesmo faço a consolidação. Isso permitiu um pouco mais de controle sobre os dados baixados.</p>
<p>Os dados são mantidos neste repositório GitHub:</p>
<p><code>https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_daily_reports/</code></p>
<p>O nome dos arquivos é MM-DD-YYYY.csv, começando a partir de 22 de Janeiro de 2020.</p>
<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1" aria-hidden="true" tabindex="-1"></a>hj <span class="ot"><-</span> <span class="fu">today</span>()</span>
<span id="cb16-2"><a href="#cb16-2" aria-hidden="true" tabindex="-1"></a>ontem <span class="ot"><-</span> hj <span class="sc">-</span> <span class="dv">1</span></span>
<span id="cb16-3"><a href="#cb16-3" aria-hidden="true" tabindex="-1"></a>diainicio <span class="ot"><-</span> <span class="fu">mdy</span>(<span class="st">"01-22-2020"</span>)</span></code></pre></div>
<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a>dia <span class="ot"><-</span> diainicio</span>
<span id="cb17-2"><a href="#cb17-2" aria-hidden="true" tabindex="-1"></a><span class="cf">while</span>(dia <span class="sc"><=</span> hj) {</span>
<span id="cb17-3"><a href="#cb17-3" aria-hidden="true" tabindex="-1"></a> ultarq <span class="ot"><-</span> <span class="fu">paste</span>(<span class="fu">format</span>(dia,<span class="st">"%m-%d-%Y"</span>),<span class="st">".csv"</span>,<span class="at">sep=</span><span class="st">""</span>)</span>
<span id="cb17-4"><a href="#cb17-4" aria-hidden="true" tabindex="-1"></a> CSSEbasepath <span class="ot"><-</span> <span class="st">"~/datasets/CSSEGISandData/COVID-19/csse_covid_19_daily_reports/"</span></span>
<span id="cb17-5"><a href="#cb17-5" aria-hidden="true" tabindex="-1"></a> ultarq_fullname <span class="ot"><-</span> <span class="fu">paste</span>(CSSEbasepath,ultarq,<span class="at">sep=</span><span class="st">""</span>) </span>
<span id="cb17-6"><a href="#cb17-6" aria-hidden="true" tabindex="-1"></a> CSSEURLbase <span class="ot"><-</span> <span class="st">"https://github.com/CSSEGISandData/COVID-19/raw/master/csse_covid_19_data/csse_covid_19_daily_reports/"</span></span>
<span id="cb17-7"><a href="#cb17-7" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span> (<span class="sc">!</span><span class="fu">file.exists</span>(ultarq_fullname)) {</span>
<span id="cb17-8"><a href="#cb17-8" aria-hidden="true" tabindex="-1"></a> <span class="fu">tryCatch</span>(<span class="at">expr =</span> {</span>
<span id="cb17-9"><a href="#cb17-9" aria-hidden="true" tabindex="-1"></a> curl<span class="sc">::</span><span class="fu">curl_download</span>(<span class="fu">paste</span>(CSSEURLbase,ultarq,<span class="at">sep=</span><span class="st">""</span>),ultarq_fullname)</span>
<span id="cb17-10"><a href="#cb17-10" aria-hidden="true" tabindex="-1"></a> <span class="fu">print</span>(<span class="fu">paste</span>(<span class="st">"Fazendo dowload do arquivo"</span>,ultarq_fullname,<span class="at">sep=</span><span class="st">":"</span>))</span>
<span id="cb17-11"><a href="#cb17-11" aria-hidden="true" tabindex="-1"></a> }, </span>
<span id="cb17-12"><a href="#cb17-12" aria-hidden="true" tabindex="-1"></a> <span class="at">error =</span> <span class="cf">function</span>(e) {</span>
<span id="cb17-13"><a href="#cb17-13" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span>(dia <span class="sc">==</span> hj) { <span class="fu">print</span>(e)} <span class="cf">else</span> { <span class="fu">stop</span>()}</span>
<span id="cb17-14"><a href="#cb17-14" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb17-15"><a href="#cb17-15" aria-hidden="true" tabindex="-1"></a> )</span>
<span id="cb17-16"><a href="#cb17-16" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb17-17"><a href="#cb17-17" aria-hidden="true" tabindex="-1"></a> dia <span class="ot"><-</span> dia <span class="sc">+</span> <span class="dv">1</span></span>
<span id="cb17-18"><a href="#cb17-18" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
<pre><code>## [1] "Fazendo dowload do arquivo:~/datasets/CSSEGISandData/COVID-19/csse_covid_19_daily_reports/09-19-2022.csv"
## <simpleError in curl::curl_download(paste(CSSEURLbase, ultarq, sep = ""), ultarq_fullname): HTTP error 404.></code></pre>
<p>Depois de feito o download de todos os arquivos, é preciso juntá-los em um único <code>data.frame</code>. O processo começa com a leitura de todos os <code>csv</code>, colocando-os todos em uma <code>list</code>.</p>
<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb19-1"><a href="#cb19-1" aria-hidden="true" tabindex="-1"></a>dia <span class="ot"><-</span> diainicio</span>
<span id="cb19-2"><a href="#cb19-2" aria-hidden="true" tabindex="-1"></a>dias <span class="ot"><-</span> <span class="fu">list</span>()</span>
<span id="cb19-3"><a href="#cb19-3" aria-hidden="true" tabindex="-1"></a><span class="co"># mudança de formato a partir de 22 de março de 2020</span></span>
<span id="cb19-4"><a href="#cb19-4" aria-hidden="true" tabindex="-1"></a>datamudanca <span class="ot"><-</span> <span class="fu">ymd</span>(<span class="st">"2020-03-22"</span>)</span>
<span id="cb19-5"><a href="#cb19-5" aria-hidden="true" tabindex="-1"></a><span class="cf">while</span> (dia <span class="sc"><</span> datamudanca) {</span>
<span id="cb19-6"><a href="#cb19-6" aria-hidden="true" tabindex="-1"></a> d1 <span class="ot"><-</span> <span class="fu">read_csv</span>(<span class="fu">paste</span>(CSSEbasepath,<span class="fu">format</span>(dia,<span class="st">"%m-%d-%Y"</span>),<span class="st">".csv"</span>,<span class="at">sep=</span><span class="st">""</span>))</span>
<span id="cb19-7"><a href="#cb19-7" aria-hidden="true" tabindex="-1"></a> d1 <span class="ot"><-</span> <span class="fu">rename</span>(d1, <span class="at">Country =</span> <span class="st">`</span><span class="at">Country/Region</span><span class="st">`</span>)</span>
<span id="cb19-8"><a href="#cb19-8" aria-hidden="true" tabindex="-1"></a> d1 <span class="ot"><-</span> <span class="fu">group_by</span>(d1,Country) <span class="sc">%>%</span> <span class="fu">summarise</span>(<span class="at">ConfCases =</span> <span class="fu">sum</span>(Confirmed, <span class="at">na.rm =</span> T),</span>
<span id="cb19-9"><a href="#cb19-9" aria-hidden="true" tabindex="-1"></a> <span class="at">TotDeaths =</span> <span class="fu">sum</span>(Deaths, <span class="at">na.rm =</span> T), </span>
<span id="cb19-10"><a href="#cb19-10" aria-hidden="true" tabindex="-1"></a> <span class="at">TotRecov =</span> <span class="fu">sum</span>(Recovered, <span class="at">na.rm =</span> T)) <span class="sc">%>%</span> </span>
<span id="cb19-11"><a href="#cb19-11" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">DateRep =</span> dia)</span>
<span id="cb19-12"><a href="#cb19-12" aria-hidden="true" tabindex="-1"></a> dias <span class="ot"><-</span> <span class="fu">append</span>(dias,<span class="fu">list</span>(d1))</span>
<span id="cb19-13"><a href="#cb19-13" aria-hidden="true" tabindex="-1"></a> dia <span class="ot"><-</span> dia <span class="sc">+</span> <span class="dv">1</span></span>
<span id="cb19-14"><a href="#cb19-14" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb19-15"><a href="#cb19-15" aria-hidden="true" tabindex="-1"></a><span class="co"># novo formato</span></span>
<span id="cb19-16"><a href="#cb19-16" aria-hidden="true" tabindex="-1"></a><span class="cf">while</span>(dia <span class="sc"><=</span> ontem) {</span>
<span id="cb19-17"><a href="#cb19-17" aria-hidden="true" tabindex="-1"></a> d1 <span class="ot"><-</span> <span class="fu">read_csv</span>(<span class="fu">paste</span>(CSSEbasepath,<span class="fu">format</span>(dia,<span class="st">"%m-%d-%Y"</span>),<span class="st">".csv"</span>,<span class="at">sep=</span><span class="st">""</span>))</span>
<span id="cb19-18"><a href="#cb19-18" aria-hidden="true" tabindex="-1"></a> d1 <span class="ot"><-</span> <span class="fu">rename</span>(d1, <span class="at">Country =</span> Country_Region)</span>
<span id="cb19-19"><a href="#cb19-19" aria-hidden="true" tabindex="-1"></a> d1 <span class="ot"><-</span> <span class="fu">group_by</span>(d1,Country) <span class="sc">%>%</span> <span class="fu">summarise</span>(<span class="at">ConfCases =</span> <span class="fu">sum</span>(Confirmed, <span class="at">na.rm =</span> T), </span>
<span id="cb19-20"><a href="#cb19-20" aria-hidden="true" tabindex="-1"></a> <span class="at">TotDeaths =</span> <span class="fu">sum</span>(Deaths, <span class="at">na.rm =</span> T), </span>
<span id="cb19-21"><a href="#cb19-21" aria-hidden="true" tabindex="-1"></a> <span class="at">TotRecov =</span> <span class="fu">sum</span>(Recovered, <span class="at">na.rm =</span> T)) <span class="sc">%>%</span> </span>
<span id="cb19-22"><a href="#cb19-22" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">DateRep =</span> dia)</span>
<span id="cb19-23"><a href="#cb19-23" aria-hidden="true" tabindex="-1"></a> dias <span class="ot"><-</span> <span class="fu">append</span>(dias, <span class="fu">list</span>(d1))</span>
<span id="cb19-24"><a href="#cb19-24" aria-hidden="true" tabindex="-1"></a> dia <span class="ot"><-</span> dia <span class="sc">+</span> <span class="dv">1</span></span>
<span id="cb19-25"><a href="#cb19-25" aria-hidden="true" tabindex="-1"></a> }</span></code></pre></div>
<p>Com a lista de todos os arquivos (<code>data.frame</code>s) diários, a função <code>bind_rows</code> do <code>dplyr</code> faz a concatenação. Algumas correções de nomes de países são também realizadas, visando normalizar e acertar grafias.</p>
<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb20-1"><a href="#cb20-1" aria-hidden="true" tabindex="-1"></a>X <span class="ot"><-</span> <span class="fu">bind_rows</span>(dias) <span class="sc">%>%</span> <span class="fu">arrange</span>(DateRep,Country)</span>
<span id="cb20-2"><a href="#cb20-2" aria-hidden="true" tabindex="-1"></a><span class="fu">assign</span>(<span class="st">"jhucovid19prep"</span>,X)</span>
<span id="cb20-3"><a href="#cb20-3" aria-hidden="true" tabindex="-1"></a>jhucovid19prep <span class="ot"><-</span> <span class="fu">select</span>(jhucovid19prep, Country, DateRep, <span class="at">ConfirmedCases =</span> ConfCases, <span class="at">Deaths =</span> TotDeaths, <span class="at">Recovered =</span> TotRecov)</span>
<span id="cb20-4"><a href="#cb20-4" aria-hidden="true" tabindex="-1"></a>jhucovid19prep<span class="sc">$</span>Country <span class="ot"><-</span> <span class="fu">stri_replace_all_regex</span>(jhucovid19prep<span class="sc">$</span>Country,<span class="st">"Mainland China"</span>, <span class="st">"China"</span>, <span class="at">vectorize_all =</span> <span class="cn">TRUE</span>)</span>
<span id="cb20-5"><a href="#cb20-5" aria-hidden="true" tabindex="-1"></a>jhucovid19prep<span class="sc">$</span>Country <span class="ot"><-</span> <span class="fu">stri_replace_all_regex</span>(jhucovid19prep<span class="sc">$</span>Country, <span class="st">"UK"</span>, <span class="st">"United Kingdom"</span>, <span class="at">vectorize_all =</span> <span class="cn">TRUE</span>)</span>
<span id="cb20-6"><a href="#cb20-6" aria-hidden="true" tabindex="-1"></a><span class="fu">rm</span>(X)</span></code></pre></div>
<p>Vou atribuir um continente fictício para os países não encontrados pela função <code>countrycode</code>: <em>Outro</em></p>
<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb21-1"><a href="#cb21-1" aria-hidden="true" tabindex="-1"></a>jhucovid19prep <span class="ot"><-</span> jhucovid19prep <span class="sc">%>%</span> <span class="fu">mutate</span>(<span class="at">Continent =</span> <span class="fu">if_else</span>(<span class="fu">is.na</span>(<span class="fu">countrycode</span>(<span class="at">sourcevar =</span> Country, <span class="at">origin =</span> <span class="st">"country.name"</span>, <span class="at">destination =</span> <span class="st">"continent"</span>)), <span class="st">"Outro"</span>, <span class="fu">countrycode</span>(<span class="at">sourcevar =</span> Country, <span class="at">origin =</span> <span class="st">"country.name"</span>, <span class="at">destination =</span> <span class="st">"continent"</span>)))</span></code></pre></div>
<p>Alguns países estão com nomes com grafia diferente na base da JHU. Preciso uniformizar isso. Como exemplo, a Korea do Sul.</p>
<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a>jhucovid19prep <span class="sc">%>%</span> <span class="fu">select</span>(Country) <span class="sc">%>%</span> <span class="fu">filter</span>(<span class="fu">grepl</span>(<span class="st">"Korea"</span>,Country)) <span class="sc">%>%</span> <span class="fu">unique</span>()</span></code></pre></div>
<pre><code>## # A tibble: 4 x 1
## Country
## <chr>
## 1 South Korea
## 2 Republic of Korea
## 3 Korea, South
## 4 Korea, North</code></pre>
<p>O Iran também parece que está com nomes grafados de forma diferentes:</p>
<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1" aria-hidden="true" tabindex="-1"></a>jhucovid19prep <span class="sc">%>%</span> <span class="fu">select</span>(Country) <span class="sc">%>%</span> <span class="fu">filter</span>(<span class="fu">grepl</span>(<span class="st">"Iran"</span>,Country)) <span class="sc">%>%</span> <span class="fu">unique</span>()</span></code></pre></div>
<pre><code>## # A tibble: 2 x 1
## Country
## <chr>
## 1 Iran
## 2 Iran (Islamic Republic of)</code></pre>
<p>Ou seja, estes nomes diferentes geram buracos nos tratamentos quando fazemos um <code>group_by</code> <strong>Country</strong>. Então precisamos uniformizar. Para isso, vou utilizar a função <code>countrycode</code> do pacote de mesmo nome. A estratégia é gerar os códigos dos países e depois gerar os nomes dos países de volta. Esta estratégia funciona porque a função é <em>esperta</em> e conhece muitas grafias diferentes para os nomes dos países de modo a gerar o código correto. E quando faço a conversão de volta, ela gera o nome padronizado. Fantástico este pacote <code>countrycode</code> para trabalhar com bases de dados com nomes de países. Como já detectamos acima, alguns <em>países</em> não são países de verdade; para estes vou deixar o nome original, já que o continente respectivo está identificado como <strong>Outro</strong> de modo a manter a base completa, mas identificando estes casos estranhos.</p>
<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1" aria-hidden="true" tabindex="-1"></a>jhucovid19prep <span class="sc">%<>%</span> <span class="fu">mutate</span>(<span class="at">Code =</span> <span class="fu">countrycode</span>(<span class="at">sourcevar =</span> Country, <span class="at">origin =</span> <span class="st">"country.name"</span>, <span class="at">destination =</span> <span class="st">"iso3c"</span>), <span class="at">Country =</span> <span class="fu">countrycode</span>(<span class="at">sourcevar =</span> Code, <span class="at">origin =</span> <span class="st">"iso3c"</span>, <span class="at">destination =</span> <span class="st">"country.name"</span>, <span class="at">nomatch =</span> Country))</span></code></pre></div>
<p>Verificando quais países ficaram <em>sem nome</em> nesta uniformização, ou seja, mantive os nomes originais.</p>
<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb27-1"><a href="#cb27-1" aria-hidden="true" tabindex="-1"></a>jhucovid19prep <span class="sc">%>%</span> <span class="fu">select</span>(Country, Code, Continent) <span class="sc">%>%</span> <span class="fu">filter</span>(Continent <span class="sc">==</span> <span class="st">"Outro"</span>) <span class="sc">%>%</span> <span class="fu">unique</span>() <span class="sc">%>%</span></span>
<span id="cb27-2"><a href="#cb27-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">kable</span>() <span class="sc">%>%</span> <span class="fu">kable_styling</span>(<span class="at">full_width =</span> F)</span></code></pre></div>
<table class="table" style="width: auto !important; margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="text-align:left;">
Country
</th>
<th style="text-align:left;">
Code
</th>
<th style="text-align:left;">
Continent
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
Others
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
North Ireland
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
St. Martin
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
Channel Islands
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
Saint Martin
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
Cruise Ship
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
Kosovo
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
Diamond Princess
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
MS Zaandam
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
Micronesia
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
Summer Olympics 2020
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
Winter Olympics 2022
</td>
<td style="text-align:left;">
NA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
<tr>
<td style="text-align:left;">
Antarctica
</td>
<td style="text-align:left;">
ATA
</td>
<td style="text-align:left;">
Outro
</td>
</tr>
</tbody>
</table>
<p>Estes casos correspondem a este número de observações e casos confirmados:</p>
<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb28-1"><a href="#cb28-1" aria-hidden="true" tabindex="-1"></a>jhucovid19prep <span class="sc">%>%</span> <span class="fu">select</span>(Country, ConfirmedCases, Continent) <span class="sc">%>%</span> </span>
<span id="cb28-2"><a href="#cb28-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">filter</span>(Continent <span class="sc">==</span> <span class="st">"Outro"</span>) <span class="sc">%>%</span></span>
<span id="cb28-3"><a href="#cb28-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">group_by</span>(Country) <span class="sc">%>%</span></span>
<span id="cb28-4"><a href="#cb28-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">summarise</span>(<span class="at">TotCasos =</span> <span class="fu">last</span>(ConfirmedCases), <span class="at">N =</span> <span class="fu">n</span>()) <span class="sc">%>%</span> </span>
<span id="cb28-5"><a href="#cb28-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">kable</span>() <span class="sc">%>%</span> <span class="fu">kable_styling</span>(<span class="at">full_width =</span> F)</span></code></pre></div>
<table class="table" style="width: auto !important; margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="text-align:left;">
Country
</th>
<th style="text-align:right;">
TotCasos
</th>
<th style="text-align:right;">
N
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
Antarctica
</td>
<td style="text-align:right;">
11
</td>
<td style="text-align:right;">
223
</td>
</tr>
<tr>
<td style="text-align:left;">
Channel Islands
</td>
<td style="text-align:right;">
1
</td>
<td style="text-align:right;">
1
</td>
</tr>
<tr>
<td style="text-align:left;">
Cruise Ship
</td>
<td style="text-align:right;">
712
</td>
<td style="text-align:right;">
13
</td>
</tr>
<tr>
<td style="text-align:left;">
Diamond Princess
</td>
<td style="text-align:right;">
712
</td>
<td style="text-align:right;">
909
</td>
</tr>
<tr>
<td style="text-align:left;">
Kosovo
</td>
<td style="text-align:right;">
272001
</td>
<td style="text-align:right;">
915
</td>
</tr>
<tr>
<td style="text-align:left;">
Micronesia
</td>
<td style="text-align:right;">
10010
</td>
<td style="text-align:right;">
607
</td>
</tr>
<tr>
<td style="text-align:left;">
MS Zaandam
</td>
<td style="text-align:right;">
9
</td>
<td style="text-align:right;">
906
</td>
</tr>
<tr>
<td style="text-align:left;">
North Ireland
</td>
<td style="text-align:right;">
1
</td>
<td style="text-align:right;">
1
</td>
</tr>
<tr>
<td style="text-align:left;">
Others
</td>
<td style="text-align:right;">
696
</td>
<td style="text-align:right;">
33
</td>
</tr>
<tr>
<td style="text-align:left;">
Saint Martin
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
1
</td>
</tr>
<tr>
<td style="text-align:left;">
St. Martin
</td>
<td style="text-align:right;">
2
</td>
<td style="text-align:right;">
1
</td>
</tr>
<tr>
<td style="text-align:left;">
Summer Olympics 2020
</td>
<td style="text-align:right;">
865
</td>
<td style="text-align:right;">
453
</td>
</tr>
<tr>
<td style="text-align:left;">
Winter Olympics 2022
</td>
<td style="text-align:right;">
535
</td>
<td style="text-align:right;">
224
</td>
</tr>
<tr>
<td style="text-align:left;">
NA
</td>
<td style="text-align:right;">
0
</td>
<td style="text-align:right;">
1
</td>
</tr>
</tbody>
</table>
<p>Total de Casos</p>
<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb29-1"><a href="#cb29-1" aria-hidden="true" tabindex="-1"></a>jhucovid19prep <span class="sc">%>%</span> <span class="fu">select</span>(Country, ConfirmedCases, Continent) <span class="sc">%>%</span> </span>
<span id="cb29-2"><a href="#cb29-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">filter</span>(Continent <span class="sc">==</span> <span class="st">"Outro"</span>) <span class="sc">%>%</span></span>
<span id="cb29-3"><a href="#cb29-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">group_by</span>(Country) <span class="sc">%>%</span></span>
<span id="cb29-4"><a href="#cb29-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">summarise</span>(<span class="at">TotCasos =</span> <span class="fu">last</span>(ConfirmedCases), <span class="at">N =</span> <span class="fu">n</span>()) <span class="sc">%>%</span> </span>
<span id="cb29-5"><a href="#cb29-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">summarise</span>(<span class="at">Total =</span> <span class="fu">sum</span>(TotCasos)) <span class="sc">%>%</span> </span>
<span id="cb29-6"><a href="#cb29-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">kable</span>() <span class="sc">%>%</span> <span class="fu">kable_styling</span>(<span class="at">full_width =</span> F)</span></code></pre></div>
<table class="table" style="width: auto !important; margin-left: auto; margin-right: auto;">
<thead>
<tr>
<th style="text-align:right;">
Total
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:right;">
285557
</td>
</tr>
</tbody>
</table>
<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb30-1"><a href="#cb30-1" aria-hidden="true" tabindex="-1"></a>jhucovid19prep <span class="ot"><-</span> jhucovid19prep <span class="sc">%>%</span> <span class="fu">group_by</span>(DateRep, Country) <span class="sc">%>%</span> </span>
<span id="cb30-2"><a href="#cb30-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">ConfirmedCases =</span> <span class="fu">sum</span>(ConfirmedCases), <span class="at">Deaths =</span> <span class="fu">sum</span>(Deaths), <span class="at">Recovered =</span> <span class="fu">sum</span>(Recovered)) <span class="sc">%>%</span> </span>
<span id="cb30-3"><a href="#cb30-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">ungroup</span>() <span class="sc">%>%</span> <span class="fu">ungroup</span>()</span></code></pre></div>
<p>Salvando o arquivo do dia</p>
<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb31-1"><a href="#cb31-1" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(jhucovid19prep,<span class="fu">paste</span>(<span class="st">"./data/"</span>,<span class="st">"jhucovid19-"</span>,ontem,<span class="st">".csv"</span>,<span class="at">sep=</span><span class="st">""</span>))</span></code></pre></div>
<p>Salvando como último arquivo para ser lido nos outros notebooks.</p>
<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb32-1"><a href="#cb32-1" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(jhucovid19prep, glue<span class="sc">::</span><span class="fu">glue</span>(<span class="st">"./data/"</span>,<span class="st">"jhucovid19_last.csv"</span>))</span></code></pre></div>
</div>
</div>
<div id="base-de-dados-do-kaggle---coronavirus---brazil" class="section level2">
<h2>Base de Dados do Kaggle - Coronavirus - Brazil</h2>
<p>Estes dados são mantidos pelo Raphael Fontes, com uma atualização constante.</p>
<p>Link: <code>https://www.kaggle.com/unanimad/corona-virus-brazil</code></p>
<p>O link direto para os dados é: <code>https://www.kaggle.com/unanimad/corona-virus-brazil/download</code> que fornece um arquivo zip com o CSV.</p>
<p>O download da base de dados é feita com a API do Kaggle; é um pacote do Python. A base vem compactada, então depois de fazer o download, utilizo o pacote <code>zip</code> para extraí-la.</p>
<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb33-1"><a href="#cb33-1" aria-hidden="true" tabindex="-1"></a>hoje <span class="ot"><-</span> <span class="fu">today</span>()</span>
<span id="cb33-2"><a href="#cb33-2" aria-hidden="true" tabindex="-1"></a><span class="fu">system</span>(<span class="st">"cd data;/home/mario/.local/bin/kaggle datasets download --force unanimad/corona-virus-brazil"</span>)</span>
<span id="cb33-3"><a href="#cb33-3" aria-hidden="true" tabindex="-1"></a>zip<span class="sc">::</span><span class="fu">unzip</span>(<span class="st">"./data/corona-virus-brazil.zip"</span>, <span class="at">exdir =</span> <span class="st">"./data"</span>)</span></code></pre></div>
</div>
<div id="base-de-dados-do-brasil-a-partir-do-projeto-brasil.io" class="section level2">
<h2>Base de Dados do Brasil a partir do Projeto Brasil.io</h2>
<p><a href="https://data.brasil.io/dataset/covid19/caso_full.csv.gz" class="uri">https://data.brasil.io/dataset/covid19/caso_full.csv.gz</a></p>
<div class="sourceCode" id="cb34"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb34-1"><a href="#cb34-1" aria-hidden="true" tabindex="-1"></a><span class="fu">setwd</span>(<span class="st">"/datahome/mario/docs/analytics/covid19"</span>)</span>
<span id="cb34-2"><a href="#cb34-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">tryCatch</span>(<span class="at">expr =</span> {</span>
<span id="cb34-3"><a href="#cb34-3" aria-hidden="true" tabindex="-1"></a> curl<span class="sc">::</span><span class="fu">curl_download</span>(<span class="st">"https://data.brasil.io/dataset/covid19/caso_full.csv.gz"</span>, <span class="at">destfile =</span> <span class="st">"./data/caso_full.csv.gz"</span>) </span>
<span id="cb34-4"><a href="#cb34-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">system</span>(<span class="st">"cd data;gunzip -f caso_full.csv.gz;cd .."</span>)</span>
<span id="cb34-5"><a href="#cb34-5" aria-hidden="true" tabindex="-1"></a> }, </span>
<span id="cb34-6"><a href="#cb34-6" aria-hidden="true" tabindex="-1"></a> <span class="at">error =</span> <span class="cf">function</span>(e) {</span>
<span id="cb34-7"><a href="#cb34-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">print</span>(e)</span>
<span id="cb34-8"><a href="#cb34-8" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb34-9"><a href="#cb34-9" aria-hidden="true" tabindex="-1"></a> )</span></code></pre></div>
</div>
<div id="base-de-dados-população-mundial" class="section level2">
<h2>Base de Dados População Mundial</h2>
<div class="sourceCode" id="cb35"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb35-1"><a href="#cb35-1" aria-hidden="true" tabindex="-1"></a><span class="co"># populacao mundial - https://population.un.org/wpp/Download/Standard/CSV/</span></span>
<span id="cb35-2"><a href="#cb35-2" aria-hidden="true" tabindex="-1"></a><span class="co"># filtrei apenas 2019 e 2020, peguei os últimos valores de cada ano por pais (Location)</span></span>
<span id="cb35-3"><a href="#cb35-3" aria-hidden="true" tabindex="-1"></a><span class="co"># mantive valores por sexo e também densidade populacional</span></span>
<span id="cb35-4"><a href="#cb35-4" aria-hidden="true" tabindex="-1"></a><span class="co"># baixei este arquivo em 20200419</span></span>
<span id="cb35-5"><a href="#cb35-5" aria-hidden="true" tabindex="-1"></a>populacao <span class="ot"><-</span> <span class="fu">read_csv</span>(<span class="st">"./data/WPP2019_TotalPopulationBySex.csv"</span>)</span></code></pre></div>
<p>Filtrei apenas os anos de 2019 e 2020 (previsão). Removi regiões estranhas que contém a palavra “dependencies”.</p>
<div class="sourceCode" id="cb36"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb36-1"><a href="#cb36-1" aria-hidden="true" tabindex="-1"></a>pop1920 <span class="ot"><-</span> populacao <span class="sc">%>%</span> </span>
<span id="cb36-2"><a href="#cb36-2" aria-hidden="true" tabindex="-1"></a> <span class="fu">filter</span>(<span class="sc">!</span><span class="fu">grepl</span>(<span class="st">"dependencies"</span>, Location, <span class="at">ignore.case =</span> T), <span class="sc">!</span><span class="fu">grepl</span>(<span class="st">"develop"</span>,Location, <span class="at">ignore.case =</span> T), <span class="sc">!</span><span class="fu">grepl</span>(<span class="st">"SIDS"</span>, Location, <span class="at">ignore.case =</span> T)) <span class="sc">%>%</span> </span>
<span id="cb36-3"><a href="#cb36-3" aria-hidden="true" tabindex="-1"></a> <span class="fu">filter</span>(Time <span class="sc">==</span> <span class="dv">2019</span> <span class="sc">|</span> Time <span class="sc">==</span> <span class="dv">2020</span>, Variant <span class="sc">==</span> <span class="st">"Medium"</span>) <span class="sc">%>%</span></span>
<span id="cb36-4"><a href="#cb36-4" aria-hidden="true" tabindex="-1"></a> <span class="fu">group_by</span>(Location, Time) <span class="sc">%>%</span> </span>
<span id="cb36-5"><a href="#cb36-5" aria-hidden="true" tabindex="-1"></a> <span class="fu">summarise</span>(<span class="at">Year =</span> <span class="fu">max</span>(Time), <span class="at">PopMale =</span> <span class="fu">last</span>(PopMale), <span class="at">PopFemale =</span> <span class="fu">last</span>(PopFemale), <span class="at">PopTotal =</span> <span class="fu">last</span>(PopTotal), <span class="at">PopDensity =</span> <span class="fu">last</span>(PopDensity), <span class="at">VarID =</span> <span class="fu">last</span>(VarID), <span class="at">LocID =</span> <span class="fu">last</span>(LocID)) <span class="sc">%>%</span> </span>
<span id="cb36-6"><a href="#cb36-6" aria-hidden="true" tabindex="-1"></a> <span class="fu">select</span>(<span class="sc">-</span>Time) <span class="sc">%>%</span> dplyr<span class="sc">::</span><span class="fu">ungroup</span>()</span></code></pre></div>
<p>Adicionei uma coluna “Continent” e removi a observações sem continentes (agrupamentos de países ou regiões).</p>
<div class="sourceCode" id="cb37"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb37-1"><a href="#cb37-1" aria-hidden="true" tabindex="-1"></a>pop1920 <span class="ot"><-</span> pop1920 <span class="sc">%>%</span> <span class="fu">mutate</span>(<span class="at">Continent =</span> <span class="fu">if_else</span>(<span class="fu">is.na</span>(<span class="fu">countrycode</span>(<span class="at">sourcevar =</span> Location, <span class="at">origin =</span> <span class="st">"country.name"</span>, <span class="at">destination =</span> <span class="st">"continent"</span>)), <span class="st">"Outro"</span>, <span class="fu">countrycode</span>(<span class="at">sourcevar =</span> Location, <span class="at">origin =</span> <span class="st">"country.name"</span>, <span class="at">destination =</span> <span class="st">"continent"</span>))) <span class="sc">%>%</span> <span class="fu">mutate</span>(<span class="at">Continent =</span> <span class="fu">case_when</span>(Location <span class="sc">==</span> <span class="st">"Africa"</span> <span class="sc">~</span> <span class="st">"Africa"</span>, Location <span class="sc">==</span> <span class="st">"Asia"</span> <span class="sc">~</span> <span class="st">"Asia"</span>, Location <span class="sc">==</span> <span class="st">"Europe"</span> <span class="sc">~</span><span class="st">"Europe"</span>, Location <span class="sc">==</span> <span class="st">"Central America"</span> <span class="sc">~</span> <span class="st">"Central America"</span>, Location <span class="sc">==</span> <span class="st">"North America"</span> <span class="sc">~</span> <span class="st">"North America"</span>, Location <span class="sc">==</span> <span class="st">"South America"</span> <span class="sc">~</span> <span class="st">"South America"</span>, Location <span class="sc">==</span> <span class="st">"Oceania"</span> <span class="sc">~</span> <span class="st">"Oceania"</span>, <span class="cn">TRUE</span> <span class="sc">~</span> Continent)) <span class="sc">%>%</span> <span class="fu">filter</span>(Continent <span class="sc">%in%</span> <span class="fu">c</span>(<span class="st">"Africa"</span>,<span class="st">"Asia"</span>,<span class="st">"Europe"</span>,<span class="st">"Americas"</span>,<span class="st">"Oceania"</span>,<span class="st">"North America"</span>,<span class="st">"South America"</span>,<span class="st">"Central America"</span>))</span></code></pre></div>
<div class="sourceCode" id="cb38"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb38-1"><a href="#cb38-1" aria-hidden="true" tabindex="-1"></a>pop1920 <span class="ot"><-</span> pop1920 <span class="sc">%>%</span> <span class="fu">mutate</span>(<span class="at">Code =</span> <span class="fu">countrycode</span>(<span class="at">sourcevar =</span> Location, <span class="at">origin =</span> <span class="st">"country.name"</span>, <span class="at">destination =</span> <span class="st">"iso3c"</span>), <span class="at">Country =</span> <span class="fu">countrycode</span>(<span class="at">sourcevar =</span> Code, <span class="at">origin =</span> <span class="st">"iso3c"</span>, <span class="at">destination =</span> <span class="st">"country.name"</span>, <span class="at">nomatch =</span> Location)) <span class="sc">%>%</span> <span class="fu">select</span>(Country, Code, Year, PopMale, PopFemale, PopTotal, PopDensity, Continent)</span></code></pre></div>
<p>Gravei este arquivo limpo e preparado para poder utilizar nas análises.</p>
<div class="sourceCode" id="cb39"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb39-1"><a href="#cb39-1" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(pop1920, <span class="st">"./data/populacao20192020.csv"</span>)</span></code></pre></div>
<hr />
<div>
<span><a href="https://momenezes.github.io/covid19/"><img src="data:image/png;base64,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" alt="HOME" width="60" style="vertical-align:middle"> <b>HOME </b> </a></span><span style="color:blue;font-size:8px; padding: 20%;">Página gerada em: “Tue 20 Sep 2022 03:02:03 AM -03”</span>
</div>
</div>
</div>
</section>
</div>
</div>
<!-- code folding -->
<!-- dynamically load mathjax for compatibility with self-contained -->
<script>
(function () {
var script = document.createElement("script");
script.type = "text/javascript";
script.src = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
document.getElementsByTagName("head")[0].appendChild(script);
})();
</script>
</body>
</html>