-
Notifications
You must be signed in to change notification settings - Fork 2
/
MainForm.resx
2250 lines (2197 loc) · 178 KB
/
MainForm.resx
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
<?xml version="1.0" encoding="utf-8"?>
<root>
<!--
Microsoft ResX Schema
Version 2.0
The primary goals of this format is to allow a simple XML format
that is mostly human readable. The generation and parsing of the
various data types are done through the TypeConverter classes
associated with the data types.
Example:
... ado.net/XML headers & schema ...
<resheader name="resmimetype">text/microsoft-resx</resheader>
<resheader name="version">2.0</resheader>
<resheader name="reader">System.Resources.ResXResourceReader, System.Windows.Forms, ...</resheader>
<resheader name="writer">System.Resources.ResXResourceWriter, System.Windows.Forms, ...</resheader>
<data name="Name1"><value>this is my long string</value><comment>this is a comment</comment></data>
<data name="Color1" type="System.Drawing.Color, System.Drawing">Blue</data>
<data name="Bitmap1" mimetype="application/x-microsoft.net.object.binary.base64">
<value>[base64 mime encoded serialized .NET Framework object]</value>
</data>
<data name="Icon1" type="System.Drawing.Icon, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>[base64 mime encoded string representing a byte array form of the .NET Framework object]</value>
<comment>This is a comment</comment>
</data>
There are any number of "resheader" rows that contain simple
name/value pairs.
Each data row contains a name, and value. The row also contains a
type or mimetype. Type corresponds to a .NET class that support
text/value conversion through the TypeConverter architecture.
Classes that don't support this are serialized and stored with the
mimetype set.
The mimetype is used for serialized objects, and tells the
ResXResourceReader how to depersist the object. This is currently not
extensible. For a given mimetype the value must be set accordingly:
Note - application/x-microsoft.net.object.binary.base64 is the format
that the ResXResourceWriter will generate, however the reader can
read any of the formats listed below.
mimetype: application/x-microsoft.net.object.binary.base64
value : The object must be serialized with
: System.Runtime.Serialization.Formatters.Binary.BinaryFormatter
: and then encoded with base64 encoding.
mimetype: application/x-microsoft.net.object.soap.base64
value : The object must be serialized with
: System.Runtime.Serialization.Formatters.Soap.SoapFormatter
: and then encoded with base64 encoding.
mimetype: application/x-microsoft.net.object.bytearray.base64
value : The object must be serialized into a byte array
: using a System.ComponentModel.TypeConverter
: and then encoded with base64 encoding.
-->
<xsd:schema id="root" xmlns="" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:msdata="urn:schemas-microsoft-com:xml-msdata">
<xsd:import namespace="http://www.w3.org/XML/1998/namespace" />
<xsd:element name="root" msdata:IsDataSet="true">
<xsd:complexType>
<xsd:choice maxOccurs="unbounded">
<xsd:element name="metadata">
<xsd:complexType>
<xsd:sequence>
<xsd:element name="value" type="xsd:string" minOccurs="0" />
</xsd:sequence>
<xsd:attribute name="name" use="required" type="xsd:string" />
<xsd:attribute name="type" type="xsd:string" />
<xsd:attribute name="mimetype" type="xsd:string" />
<xsd:attribute ref="xml:space" />
</xsd:complexType>
</xsd:element>
<xsd:element name="assembly">
<xsd:complexType>
<xsd:attribute name="alias" type="xsd:string" />
<xsd:attribute name="name" type="xsd:string" />
</xsd:complexType>
</xsd:element>
<xsd:element name="data">
<xsd:complexType>
<xsd:sequence>
<xsd:element name="value" type="xsd:string" minOccurs="0" msdata:Ordinal="1" />
<xsd:element name="comment" type="xsd:string" minOccurs="0" msdata:Ordinal="2" />
</xsd:sequence>
<xsd:attribute name="name" type="xsd:string" use="required" msdata:Ordinal="1" />
<xsd:attribute name="type" type="xsd:string" msdata:Ordinal="3" />
<xsd:attribute name="mimetype" type="xsd:string" msdata:Ordinal="4" />
<xsd:attribute ref="xml:space" />
</xsd:complexType>
</xsd:element>
<xsd:element name="resheader">
<xsd:complexType>
<xsd:sequence>
<xsd:element name="value" type="xsd:string" minOccurs="0" msdata:Ordinal="1" />
</xsd:sequence>
<xsd:attribute name="name" type="xsd:string" use="required" />
</xsd:complexType>
</xsd:element>
</xsd:choice>
</xsd:complexType>
</xsd:element>
</xsd:schema>
<resheader name="resmimetype">
<value>text/microsoft-resx</value>
</resheader>
<resheader name="version">
<value>2.0</value>
</resheader>
<resheader name="reader">
<value>System.Resources.ResXResourceReader, System.Windows.Forms, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089</value>
</resheader>
<resheader name="writer">
<value>System.Resources.ResXResourceWriter, System.Windows.Forms, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089</value>
</resheader>
<assembly alias="System.Drawing" name="System.Drawing, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a" />
<data name="InfoIconMasterParamIndex.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<metadata name="toolTip1.TrayLocation" type="System.Drawing.Point, System.Drawing, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a">
<value>17, 17</value>
</metadata>
<data name="InfoIconMasterParamIndex.ToolTip" xml:space="preserve">
<value>This identifies which of the 31 parameters will be used
when calculating the number of frames based on
your selected Master Parameter Increment.
The index number is the position (starting from 1 at the first position)
in the comma-separated list of parameters.
For example, with starting/ending parameters like this:
Start: 50,100,1,1,1,0,0,0,0,0,3,10,1,0,90,0,0,0,0,1,0,0,1,0,0,0,0,0,1,0,0
End: 100,100,1,1,1,0,0,0,0,0,3,10,1,0,90,0,0,0,0,1,0,0,1,0,0,0,0,0,1,0,0
A master index of 1 would refer to the parameter with values 50 and 100.</value>
</data>
<data name="InfoIconMasterParamIncrement.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="InfoIconMasterParamIncrement.ToolTip" xml:space="preserve">
<value>The size of the divisions between the starting and ending
values of the master parameter.
This will be used when calculating the total number of frames.
As example, if the starting and ending values of the chosen master parameter are 50 and 100
- Increment of 1 would mean 50 frames would be created
- Increment of 0.5 would be 100 frames
- Increment of 2 would be 25 frames
The increments between the start/end of all other parameters are calculated automatically
based on the number of frames.</value>
</data>
<data name="InfoIconMasterExponent.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="InfoIconMasterExponent.ToolTip" xml:space="preserve">
<value>Master Exponent/ Expressions: Allows you to apply advanced interpolation to the
'master parameter' (the parameter you select to drive the transformation).
Usage:
- If left empty will apply a default value that was selected for each parameter.
- You can use mathematical expressions with the variable 't' for time
- You can also use the variable 'x' for the frame number in addition to 't', but t must at least be used.
- You can use 'x' exclusively without 't' in absolute mode
- For simple exponent expressions like t^5, you can simply put '5' for example
- The exponent can be any positive or negative number including decimals
- For expressions, you can use constants like pi and e, and even trig functions like sin(t) and cos(t)
- When using an exponential mode, the master increment will still be used to
calculate the number of frames
The below describes if you're using just a simple exponent:
With this setting, instead of incrementing linearly (evenly spaced), the master parameter
will change more slowly at first and then more quickly towards the end, or vice versa,
depending on the exponent value. The other parameters will still use linear interpolation.
This can create interesting non-linear effects in the transition.
A value of 1 is equivalent to linear interpolation, while values greater than 1 will cause
the master parameter to change slowly at first and then quickly, and values
between 0 and 1 will cause it to change quickly at first and then slowly.
This can be helpful because some parameters visually don't seem to change much
at lower values, but do at higher values (or vice-versa). This can make the animation
appear too slow or fast near the beginning or end. This lets you compensate for this
and get a more uniform looking animation.
Note: Look up 'exponential curves' to get an idea of how this will affect the in-between
parameter values. </value>
</data>
<data name="InfoIconCustomExponents.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="InfoIconCustomExponents.ToolTip" xml:space="preserve">
<value>This allows you to enter a custom array of 31 comma-separated
values which will set the incremental exponent not just for the
master parameter, but all parameters.
The list should look just like the list of starting/ending parameters,
except instead of starting/ending values, each number will
be the exponent applied to its corresponding parameter.
Unlike the Master Exponent option, this lets you apply exponential
incrementation to everything. If you want a parameter to just be linear
like normal, you can set the exponent to 1.
Example:
2,3,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1</value>
</data>
<data name="InfoIconDefaultExponents.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="InfoIconDefaultExponents.ToolTip" xml:space="preserve">
<value>A pre-selected set of exponents for each parameter to use in
exponential / expression mode.
Note: This will result in exponential interpolation for all parameters,
and might not give results as you might expect. The default mode
is Linear Interpolation, this is just some values I've arbitrarily selected
that look decent, but I haven't gone through them all.</value>
</data>
<data name="InfoIconLinearInterpolation.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="InfoIconLinearInterpolation.ToolTip" xml:space="preserve">
<value>Default Mode - Linear Interpolation: The simplest method of calculating
intermediate values between two known points.
It is the default and calculates the intermediate values
for the frames just the way you'd expect.
The values calculated between the starting/ending parameter sets
will be equally "spaced". It simply takes the difference in start/end
values for each parameter, divides by the number of frames,
and uses that for how much that parameter will change per frame.</value>
</data>
<data name="InfoIconCreateGif.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="InfoIconCreateGif.ToolTip" xml:space="preserve">
<value>If checked, the program will use FFMPEG to automatically
combine all the images into a gif file. ffmpeg.exe must
either be in the same directory or the system PATH.
Sometimes blank frames will be generated so you'll want to
manually create the gif yourself, or you want a different framerate.
You can do so with the ffmpeg command like this:
ffmpeg -framerate 25 -i Image_SomePattern_%d.png output.gif
The %d is like a wildcard for numbers.
%d says to look for files numbered with single digits.
%02d is for number series like 01, 02, 03
%03d is for number series like 001, 002, 003
</value>
</data>
<data name="infoIconUseSameDirectory.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="infoIconUseSameDirectory.ToolTip" xml:space="preserve">
<value>If checked, the next time you click 'Start', new image frames
will be put in the latest existing folder instead of a new one.
This is useful if you want to combine multiple stages of
animations into one.
It will number the new files accordingly based on the existing
files, and the 'Create Gif' option will create a gif combining
both the new and existing frames.</value>
</data>
<data name="checkBoxAbsoluteModeMain.ToolTip" xml:space="preserve">
<value>When checked, exponents/expressions directly calculate the actual interpolated
values per parameter instead of manipulating their relative weighting.
If using master expression/exponent mode with absolute mode,
all other parameters will be interpolated linearly as normal.
If using custom array mode, keeping a parameter's expression set
to 1 will also make it interpolate linearly as nomal.
When absolute mode is enabled, you may use an additional variable 'x'.
This represents the frame number, as opposed to 't', the normalized time value.
</value>
</data>
<data name="pictureBox1.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="pictureBox1.ToolTip" xml:space="preserve">
<value>This will let you create a log file of the command-line
output of GMIC when it tries to run. It is separate from
the log file with details about each run which is always
created.
The debug log file will be called log.txt and be put in the
same output folder.
None: Creates no log files
Verbose 1 is the least detailed, and Debug is the most.
</value>
</data>
<data name="infoIconSingleThread.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="infoIconSingleThread.ToolTip" xml:space="preserve">
<value>If checked, each individual instance of gmic.exe will run single-threaded.
Multiple frames will still be generated in parallel, but only the process
generating each frame at any given time will only run on one core.
This can be helpful if you have issues with frames not being generated.
It might make generation time slower, but it could improve time in some
situations because missed frames won't need to be re-attempted.</value>
</data>
<data name="infoIconRemoveBlankFrames.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="infoIconRemoveBlankFrames.ToolTip" xml:space="preserve">
<value>If checked, any blank image frames in the sequence will be deleted so
to not be included in the final GIF.
Note that this means if there are many blank frames in the middle of
the sequence, it could cause jumping in the final GIF, but otherwise
there would be black frames in the animation.
All the image files will be re-numbered so they won't quite line up with
the log file's frame numbers anymore.</value>
</data>
<data name="infoIconFilterSearch.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="infoIconFilterSearch.ToolTip" xml:space="preserve">
<value>Start typing the name of the filter (such as "Continuous Droste") or
its corresponding command (such as "souphead_droste10").
Double click a filter in the list to activate it.
Tip: You can also paste in the full string copied from the GMIC GUI
and it will automatically filter for that.
> For example, if you click copy from the GMIC GUI it will copy something
like this: whatever_command 10,10,50,30,50
Then you can just paste that whole thing into the search box and it will
filter to anything matching "whatever_command"</value>
</data>
<data name="infoIconAbsoluteModeMain.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="infoIconAbsoluteModeMain.ToolTip" xml:space="preserve">
<value>When checked, exponents/expressions directly calculate the actual interpolated
values per parameter instead of manipulating their relative weighting.
If using master expression/exponent mode with absolute mode,
all other parameters will be interpolated linearly as normal.
If using custom array mode, keeping a parameter's expression set
to 1 will also make it interpolate linearly as nomal.
When absolute mode is enabled, you may use an additional variable 'x'.
This represents the frame number, as opposed to 't', the normalized time value.</value>
</data>
<data name="pictureBox2.Image" type="System.Drawing.Bitmap, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAL
DAAACwwBP0AiyAAAANdJREFUOE+lk7ENwjAQRb0ALEGXCWgtpcgCLEQXiQoGgCId1JkACDOhSOFedLaO
4ERAiied/7/7ih3bee9dnueWtXAWWqFTqC8CXuxl1hVFYTkKnXIX9gp10E9CnOmTdHEVaNgJS9UsCwGP
nhsasyGgUmODYTgoVqOH3ioEZCrwqbYR0GGo08vZZATULIxpWSkpj4CaAIabgRl4KCmvYTYElAMzMLYF
KL8JeCop7y1gbAtTAXELU4fYKikvHuLs34gwdpG2itU+LlIw/rvKFIbfH9O85+zdC8b3LMIYY2EGAAAA
AElFTkSuQmCC
</value>
</data>
<data name="pictureBox2.ToolTip" xml:space="preserve">
<value>When new parameter values are entered, this will switch
the master parameter if necessary to one that has
different start/end values.
This just avoids having to manually scroll through the
various parameters when it doesn't really matter.
It does not calculate a "best" parameter or anything.</value>
</data>
<metadata name="statusStrip1.TrayLocation" type="System.Drawing.Point, System.Drawing, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a">
<value>142, 17</value>
</metadata>
<metadata name="$this.TrayHeight" type="System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089">
<value>56</value>
</metadata>
<data name="$this.Icon" type="System.Drawing.Icon, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
<value>
AAABAA0AICAQAAEABADoAgAA1gAAABAQEAABAAQAKAEAAL4DAAAwMAAAAQAIAKgOAADmBAAAICAAAAEA
CACoCAAAjhMAABAQAAABAAgAaAUAADYcAAAAAAAAAQAgAMjTAACeIQAAQEAAAAEAIAAoQgAAZvUAADAw
AAABACAAqCUAAI43AQAoKAAAAQAgAGgaAAA2XQEAICAAAAEAIACoEAAAnncBABgYAAABACAAiAkAAEaI
AQAUFAAAAQAgALgGAADOkQEAEBAAAAEAIABoBAAAhpgBACgAAAAgAAAAQAAAAAEABAAAAAAAgAIAAAAA
AAAAAAAAEAAAAAAAAAAAAAAAAACAAACAAAAAgIAAgAAAAIAAgACAgAAAgICAAMDAwAAAAP8AAP8AAAD/
/wD/AAAA/wD/AP//AAD///8A7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u5mZmZmZm
Zm7u7u7u7u7u7uZkBWREYGZu7u7u7u7u7u7u7kd4iHRu7u7u7u7u7u7u7u4HeHd07u7u7u7u7u7ububu
ZWd0NG7m7u7u7u7mZEZEZAQEBARkZGQkbu7uZEZHR0dHSIVlZWVlZUbu7mR3d3d3d3iHd3d3d3cG7u5h
ckJCQFJAYFJAYEBGVO7uRERUVFR0VHRWVFRWUFbu7mFGZGZkZGBGRGZmRmQk7u5ARsZmxmRGVQZsbGbA
dO7uZ0bMzsZGxn10TszOZATu7kFG7u5kbsZX11bu7sR27u5mVu7uRsZAQXh1bu7kFO7uQEbuZXfGV3Q4
10buZHbu7mdG7uaP5miFe3dW7mQE7u5FDu7mePh3dTgWbu7kdu7uZlbu7maPh3e3Vu7uZFTu7kdO7u7n
eP+Ldm7u7uVm7u5nVu7u7mZ3dXfu7u7kdO7uR07u7u6Oh37u7u7u5Xbu7mdnZ2d+d+d3d4Z3Z2V27u5l
d3d3d3d3d3d3d3d3Zu7u5nd3d3d3d3d3d3d3dW7u7u5mZmZmZmZmZmZmZm7u7u7u7u7u7u7u7u7u7u7u
7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u7u4AAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACgA
AAAQAAAAIAAAAAEABAAAAAAAwAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAACAAACAAAAAgIAAgAAAAIAA
gACAgAAAgICAAMDAwAAAAP8AAP8AAAD//wD/AAAA/wD/AP//AAD///8A7u7u7u7u7u7u7uZGZm7u7u7u
7nd17u7u7mZmRWRmZu7mdHZ3dnR0buR0dFZUdHR+5EZmRlRsZE7kbsbGV2bkbuRuZmZYVuZO5G5oh3d2
5l7lbuaId27mTudu7ud+7uZu5nd3d3d3d27uZ2dnZ2dn7u7u7u7u7u7u7u7u7u7u7u4AAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKAAAADAA
AABgAAAAAQAIAAAAAACACgAAAAAAAAAAAAAAAQAAAAAAAD4WHgA+GB4APhYgAEAWHgBDGR4ATx4dAFAf
GwBGIRwASyMbAFMhHABaJR0AVCwcAF4qHgBWNR0AWDQaAF04GwBqKxgAcC0WAGUyHwBsMRsAYzwaAHc3
GgBAFiAAQxshAEkdIQBJHykATB40AEUgIwBJIyUATSknAEoiKQBNKSoAXS0kAFIsKwBaMSsATSE0AFIr
MwBVMzIAWzQxAFw5MwBdPDkAZC4hAGExKABgNzMAYzw0AGE/OwBlRBcAZ0EZAGhFGABtSBkAeUsbAHZS
FQB4VxYAfFkWAH5RHQB8WhgAbEgnAHRHIQBoRTgAc005AHdTOgBKOEYAYDpHAGUqWwBXR0gAT0dRAGNC
QQBoRkEAYEpHAG5LQwBuSksAc0xAAHtaQwBjVVQAdlVSAHpbUwB0VFsAf19YAEpGYgBOXHEAS2B3AFVn
dABfcnoAhz0cAIZBFgCXRxMAhVoZALlODAC7UQ0Ap0kQAKlVEgCScw8AhmUaAJNiHQCScRAAvXgNAKB9
EQCDWiMAi2klAJRzJwCGZDkAmWs1ALNxMwDMZwwA3GsIANt0CQDgbAcA4HkKAPZ9BgDhchwA9HocAIFe
SgCDXlAAgF9bAIRjSQCEYlMAiGxjAJBvYgCNcWgAkndsAI10cQCVe3EAoYAPAK2ODgCwjw8Ar5AOALCR
DwC+nwkAo4ERAK+QEACwkBAAuZsXAL2hCgC/rQ8AvJUlAKSGNgDOnAwA1I8QAMibGgD9hQIA9JAFAMWn
CgDFqAkA3KILAM6xCADUtwYAyqwXANKoFgDZsRkA46cLAO6zDgD7ugkA4KsRAOSxEADJrSUA/KUpAN3B
CgDVxRQA4cQFAObKBADpzgMA4cUPAOfLCwDozAsA/cYKAPHWAgD12gIA+t4BAP7SDADz2w4A/NsNAOPH
EAD6zBIA+9YTAP7jAAD25A8A+OQMAPboCAD04xAA2sAjAJyDegCgh30ApIh9AL6rfAD5ulUAy7p1APvX
TAD83lEA++dYAN3IaQDgyW4A4M10AOHRegD45mQAezuLAIRAmgCNRaoAlEu3AK5QuQCGcLkAvVbNAKFM
2QCuUPEAtVz4ALlj+QBWh50AaoWPAEuDpABOmLwASpzLAH2bwwBGo8sAQ5zmAEWs6QBLueQAQq3+AEO1
+gByqPIAdLT8AEPE+gBhweUAY9X8AJqHhwCgh4AAooqCAKqOggCrkYUAs5iHALGYiACllZAAvaSUALup
oQDIsZ8AwK2lAMu1pADOuKYAz7moAMe9ugDh04MA9t26ALyE3gC2hvsAuJD5ANLJxQDc080A3dbUAOLX
ygDi29YA/evKAOri3ADd5ugA7OfkAPLv7QDr+f0A/Pv6AAAAAACurq6urq6urq6urq6urq6urq6urq6u
rq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6u
rq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6u
rq6urq6urq6urq6urq6urpB+gYKBfoKBgYGBgoF7e4F7fn6Qrq6urq6urq6urq6urq6urq6urq6urq6u
rq6upTABAQIWFhYWFhYWFhYWAwEBFwEwpq6urq6urq6urq6urq6urq6urq6urq6urq6uroRbWy8CHycr
JysrKygrJAAPW1uErq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urnsBSubm5ubm5ubmcQGArq6u
rq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urpAHQujr7Ozs7OzqRhiNrq6urq6urq6urq6urq6u
rq6urq6urq6urq6urq6urq6urqAOH+Hj4+Pk5OPhJAuerq6urq6urq6urq6urq6urq6urq6urq6urq6u
rq6urq6urqczFiw6Ojo6OjorFzGmrq6urq6urq6urq6urq6urq6urq6urqeRfICAgICAgICAgIAvAhwf
Hx8eHx0eFhRggICAgICAgICAe5Cnrq6urq6urq6uoF4IAxYDFgMWBAMEBBYWAgICAh8fFhYWFgIWFhYE
FhYWFhYDFghWn66urq6urq6mXAQYIiYmJiYmJiYmJiYmJiYmRe3tQyYmJiYmKycrKyYrJyYmIRgDNaau
rq6urq6NBxgsSHBwcHBzc3Nwc3Nzc3Bzefz8eXBwc3Nzc3Nzc3Nzc3NwRzoYB3+urq6urq5eACpz4uLi
4uLi4uLi4uLi5OLi5Ofn5OLi4uLi4uLi4uLi4uLi4nMiAVyurq6urq41Fjp0Jh4ZHhkeGR4eHh4eHh4e
HhkeHhkeHh4eHh4ZGR4ZGRkeJXEsAjSnrq6urq41FiwfFxgYGBwYGBgYGBgZBRkFGRgYGBkYGRwYHBgY
GBgYGxgYBB4sFzSurq6urq43FyYXGCAqKioqJiorKisqKyorKioqKioqKioqKioqKioqKiAgHBcmAjSn
rq6urqc3FiYXClNTU1NTU1NTU1NTU1MVKSAgKhVTU1NTU1NTU1NTU1NTChcmATSurq6urq43FyYXEFhY
WFhYWFhYWFhYWREJFwQWFwUQVVdYWFhYWFhXV1hXERcmATSnrq6urq43FyYYE2pqampqampqampaCRcJ
E1M/PxoXBVVoampqampqampqFRcmFjSurq6urq43FyYXFYuLi4uLi4uLi2cKGFRpbG7IysnCGgVYi4uL
i4uLi4tsVBcmFzSnrq6urqc3FyYbFYuLi4uLi4uLZwweWmyLbG3GysvLxCMJWIuLi4uLi4uLVBcrFzen
rq6urq43FycbMpaXl5eXl5eJEhtVjItpUwwjP8XLzMQaC1+Xl5eXl5eXNhsrFzenrq6urqc3GycZNrKv
r7Kysp04HCBri2sSGxsbGyPH8czEGg2FsbGwsK+tXBsrFzeurq6urq43HCceNpeXl5esmDkhKFSMi1UZ
ITo6JhhO2fLMwxkPiKSXl6SXVhsrGzenrq6urq43HCweNpeXrJeWYSTe7WaLjDkheLRLRx891NryzMIe
FJWkl5eXVhwrGzeurq6urq5hHC0fNpeXl5eWYUL1/u+bjDkn8/7zSyE91NfS8MUkOZWXl5eXXRsrGzeu
rq6urqdcHDofNpeXpJekmWF0+f74uGUmePf1SyVP2NdQTD45j5ekl5eXXR0sHTeurq6urq5cH0MhNpeX
pKSkrJhkdfv+/vZNKEVGLEDR29VBJTiPpKSkpJeXXR8sHjenrq6urqdcHzohVpekpKSsrKyUYXX5/v71
tEtJUdPb288nOJOkrKSkpKSXXSE6H1yurq6urq5cJUUlYZekpKSorKytlDx19v7+/vrc29vb0EA4iqys
qKSkpKSXXSE6HVynrq6urq5cJXQnXJekpKioqK2trZpIc+n7/v3d29bNRDuGrKysqKSopKSXXSV0JVyu
rq6urq5iJnkoYZekpKioqK2tra2ackhzteXOUklDPIasra2tqKiopKSXXSd3JVyurq6urq5iJ3ktXJek
pKiqqqqtr62vs4dySEdHPEhjs62tra2qqqioqKSkXSd3JVyurq6urq5iJ3lCZLq6u7y8vLy8vLy8wcHA
ube3ub68vMG8vLy8vLy7u7u6ZSh5J1yurq6urq5jJ7RDZL2+v7+/wMDAwMDu7u7u7u7u7u7u7u7uwMDA
v8C/v7++ci20J2Kurq6urq6BKHZ2Ojo7Ozs8PDw8PDw8PDw8PDxHPDw8PDs7Ozs7Ozs7Ojo4LXR3JoGx
rq6urq6hOEO04rS0tLS1tbW24ODg4ODg4ODg4ODg4ODg39+1tbS0tLR54OBDOJyurq6urq6ugztDS3R2
dnZ3d3d5eXd5eXl3eXd3d3d5eXd5d3d3dnZ2dnZ0Szo6g66urq6urq6urpJjSDw8SEhISEhvcm9yb29y
SHJIckhySHJISEhISEhIPDw8PGKSrq6urq6urq6urq6no6urq6urq6Kro6ujq6Orq6urq6urq6urq6ur
q6urq6uro6eurq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6u
rq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6u
rq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6u
rq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6u
rq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6urq6u
rq4AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAoAAAAIAAAAEAAAAABAAgAAAAAAIAEAAAAAAAAAAAAAAAB
AAAAAAAARh4fAEgfHwBOJBwAUyMdAFkmGwBQKRwAXCoeAFoxHABlLB4AaS4eAG4wHwBhPBoAQRkhAEYe
IwBJHiEATiQlAE0lKwBOKCsAUyQiAFMsIwBaKyUAViUtAFIrKwBcLSgAVjAhAFs0JABWMSsAWTMrAF06
LABOJDMAVS4wAFMhPwBZMjEAXTk0AFs4OQBiMiEAYDslAGY9KwBkPTYAZT84AGtEFwBuSRYAZUEYAGpH
GABtSRkAcEsZAHtaFAB8WhQAdFIdAGpFLAB7WiEAY0E1AGtFMQBtSTcAZkA5AGtKOgB6VjQAc1I/AHpY
OQBhKEwAbzFlAFlGRgBQS1YAZkJAAG1LQwBwT0QAcE9IAGhQQQByUkMAdFVLAHhXSwBnXVsAc1VUAHxe
VQB9X1gAf2JXAH5hWABKVnoAbHF1AI89EwCFOhkAi0MeAJdCFwCZQxYAmk0UAJZDGACYRBgArFQPALdT
DQC5VgwAvV8PAKFZFgCEYRMAiWcUAIpoEwCKaBQAsmUOAKZkHgCAXiQAhGIiAIhnIwCXdyQAmXskAM9g
CQDUYwkA1GwKANxwBwDXdQsAxXUQAOByCQDkewgA7HYeAIloQACNa04AkW5MAIViVACCZVwAhWheAIlp
XgCpdk4AgmZgAIVqYQCKbWMAjnBmAI1xaQCRc2oAk3lvAJl8bwCUfXUAm35yAJF8fAC3lwoAvJ4JAK+Q
GACzlRcAtpwQALySHwC/oQoAvJYkANOKDADbjgsAzJQNANSYDgDZng4AyJYSAMGUGQD2hAYA/YMCAPiM
BADBogkAw6YKAMSmCQDHqgkAyKoIANqgDQDbvgYAx60WAMKkHQDLpR0A3aMRANKtEQDSpRgA07cRANmy
EQDVuRIA+qYFAPqqBgD/vAcA/rwKAOCjEQDFpSAAxaggANquNADgszcA38IFAObKBADoywQA/cMKAP3L
CwDv1AUA8dUDAPbaAgD53gEA9tYPAPvTDAD32QkA+9gLAPvMEQD2zxkA99cWAPzTEgD74AAA/eIAAP/k
AAD91joA/dw9AP3gPwCpik4AvqRbAJ2AcwCqkmoAp4x/AL+oagDAqF4A/LNJAMCnYADAqWMAwKpoAOHM
TgDl0VYA/ONDAPrkSQB/PZIASmGAAF95hgB/b7gAhkOcAI9WnQCKRKUAkUW3ALhUygCmTuEAs130ALJ4
9ABNhaUAVIqiAH+FsQBJl8YAR6DGAESt6wBIu+gARKz4AEW/9wB3qPoAYc72AJ6OigCtkYUAt56NALmf
jQC+ppYAtqaiALyrowC+rqgAwrGqANvEpgDOwr0A1srDANvPyADZ0c4A5N/cAPfp1QDv6ukA/fXnAObz
9gD8+/oAAAAAAMHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHAwcHB
wcHBwMHBwcHBwcHBwcHBwcHBwcHBwcGWX19fX11dXV1fXV9flsHBwcHBwcHBwcHBwcHBwcHBwYkvKgwe
ICAiIB4NCy+EwcHBwcHBwcHBwcHBwcHBwcHBwb+YFsnv7+/v7BaJv8DBwcHBwcHBwcHBwcHBwcHBwcHB
wa8Hfe7u7u2BGK7BwcHBwcHBwcHBwcHBwcG1sLCwsLCwrigeNjMnJx4Lm7CwsLCwsLTAwcHBwcG/iSkH
BwcHBwcHDgwMER0ADA4HBwcZBwcHK4O/wcHBwZkFFiYmJycnJycnJzbw8DYmJzY2NjY2JyYWApXBwcG/
XA9zgYHHgcfHx8fHx/Hxx8eBx8fHgYHHgXMRL7/BwbYtIEAREBAQEBEQEREREBAQERAQEBAQEBARPyAr
tcHBtS0WDhIXFBcXFxcXFxcXFxcXFBcUFxQUFBINFiu1wcG1LRYOT1NWVlZWVlZQCRISCFBVVlNTVlNS
UA4RK7XBwbUtFg5YaGhpaGhoUwQECjsfEk9naGhoaGhZAxYrtcHBtS0WD2uTk5OTk1oGVG1v3N3UFVeT
k5OTk20DFiy1wcG1LRYTi6ampqZsBlSSaVE8297aFWClpqaljBMWLLXBwbYtHhagvre3nCQjbmsGEREd
19/YGoe5urijGB4stcHBtTAaGI6oqJ80gneUWyJ8Rh5N6d/UGY2np58YHi21wcG1MCAaj6ixqTr1+sxh
SPnyIdXn4tkljqenqRkgLbXBwbUyIRuPsbGxoXL3/PRFeXg94+U+NJCxsaepGSAwtcHBtjIhHI+xsru7
nnH3/vjr1uTo4DSRu7KxsakkITC1wcG1MkIzmrGysr69nnHz+/3q5uFDiLu7srKxqTFAMrXBwbZiTDea
srK+ur29q3B2gE5HOoq8vr64uLGpNEoytcHBtWJMN6zCw8TS0tPT0c/IyMvQ09PS0sTDwq01TDK1wcG2
ZHRFxcbGy8vLzs7Oz8rKz8/Ozs3Ny8bGxUF0Y7bBwcCGQX56enp7e3t9fX19fX18fHx8e3p6eXl1fkGF
wMHBwbNmREt0dXZ6ent7e3p6enp6enp2dnV1dEk5ZbPBwcHBwbWknZ2dqqurq6urq6urq6urq6qqnZ2d
naK1wcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHB
wcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHBwcHB
wcHBwcHBwcHBwcHBwcEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAACgAAAAQAAAAIAAAAAEACAAAAAAAQAEAAAAAAAAAAAAAAAEAAAAA
AAB3NRsAeDcaAFo0JQBfMi8AWjIxAF0zMQBrMCEAYDIuAH03IABkKzsAYDMwAGA0MABhPjsAYj48AGdD
HgBpRB8Aa0YgAG1JIQBxTiUAeVYgAHZUKQB6WCwAdUs+AGM+RwBtSEAAfl1EAHVRSgB1UkwAemtrAHVj
eACCOhkAmVYWAJNTGACkUhIAr1ERAKtYHACxUxMAtFMRALVUEQCzXxEAt1sfAI5tEgCFYBkAiGQYAJZp
GwCbbBoAn20bAJpqHACadxQAm3gUAKRzHwCCXyoAgWI1AIVlNwCSczMAlHYzAKBxIQCmfTIAqX4xAMZu
EgCAXkkAkGZDAIxtVQCOc24Aq4oPAK2MDwCjgRIApIESALiLFwC/ixoAtI8lAKiKMQCpjDMApok8AKiL
PgCqjT8Aw5kcAPSTBAD1lQYA+pcFAPiZBgDVtwcA17oGANq+DgD9vgkA/b4MAMucIADKqDIA4MQFAOTH
BADlyQQA+8QKAP7FCgD5xQ0A79MDAPDUAwDx1QQA9toCAPfcAQD43QEA+csQAPzhAQD/5AAA+s4kAPrW
KgD62CoA9NMxAPTYMACqjkAArI9BAK2QQgCliFoAp4teAKiNXgC/pkUAk41vAJiAeQCli2cAqI1hAKmO
ZACli2gAqpBhAKqQZACqlXIAyrBJANaufQB7cL4AhUKNAIVTjACQQ5gAWoeXAEyKugBen7oArJGCAMew
kwDHtqMAwL28AP/YMQD/3VEA/+RxAP/qkQD/8LEA//bRAP///wAAAAAALxQAAFAiAABwMAAAkD4AALBN
AADPWwAA8GkAAP95EQD/ijEA/51RAP+vcQD/wZEA/9KxAP/l0QD///8AAAAAAC8DAABQBAAAcAYAAJAJ
AACwCgAAzwwAAPAOAAD/IBIA/z4xAP9cUQD/enEA/5eRAP+2sQD/1NEA////AAAAAAAvAA4AUAAXAHAA
IQCQACsAsAA2AM8AQADwAEkA/xFaAP8xcAD/UYYA/3GcAP+RsgD/scgA/9HfAP///wAAAAAALwAgAFAA
NgBwAEwAkABiALAAeADPAI4A8ACkAP8RswD/Mb4A/1HHAP9x0QD/kdwA/7HlAP/R8AD///8AAAAAACwA
LwBLAFAAaQBwAIcAkAClALAAxADPAOEA8ADwEf8A8jH/APRR/wD2cf8A95H/APmx/wD70f8A////AAAA
AAAbAC8ALQBQAD8AcABSAJAAYwCwAHYAzwCIAPAAmRH/AKYx/wC0Uf8AwnH/AM+R/wDcsf8A69H/AP//
/wAAAAAACAAvAA4AUAAVAHAAGwCQACEAsAAmAM8ALADwAD4R/wBYMf8AcVH/AIxx/wCmkf8Av7H/ANrR
/wD///8AZmZmZmZiYWFhYWJlZmZmZmZmZmZYKRMzMxMpWGZmZmZmZmZmZVIZhYU8UWVmZmZmZlpBQ0Mx
Ag0NAjBDQ0BZZmMrGBobGxs/PxsbGxsYKmJfEQUHCwsLBQUKCgoDBBFeXxAAJiYkHgYJCCImJQEOXl8P
IFBOJyEogX8jTU8fD15fESxdTD07Fhd+gERbLRBeXxIvVVaGfXQcgx1FVS4RX2AVOFxkV4eIhIJGXVwy
FF9gNTlnaWt8e3NyamhnOjRgYTc+b3F5enh4d3Zwbz42YWZTSElLbW5tbW1sSklHU2ZmZmVlZWVlZWVl
ZWVlZWZmZmZmZmZmZmZmZmZmZmZmZgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJUE5HDQoaCgAAAA1JSERSAAABAAAAAQAIBgAAAFxyqGYA
ANOPSURBVHja7L0HmF3FlS76194ndO5WQhEQiGyTTDDBCWzjRLAxmIwJNs5h5r37vXvv83g89867880b
v2uPPcY2NgYMNggRRQYHTLAJAgQ2IAQSAiQhodC5+/Q5Z+96lVbV2vucFrKRPf19OmU36j5n79pVtWv9
K68SWCslWq3VWm2nbKIFAK3WajtvawFAq7XaTtxaANBqrbYTtxYAtFqr7cStBQCt1mo7cWsBQKu12k7c
WgDQaq22E7cWALRaq+3ErQUArdZqO3FrAUCrtdpO3FoA0GqtthO3FgC0WqvtxK0FAK3WajtxawFAq7Xa
TtxaANBqrbYTtxYAtFqr7cStBQCt1mo7cWsBQKu12k7cWgDQaq22E7cWALRaq+3ErQUArdZqO3FrAUCr
tdpO3FoA0GqtthO3FgC0WqvtxK0FAK3WajtxawFAq7XaTtxaANBqrbYTtxYAtFqr7cStBQCt1mo7cWsB
QKu12k7cWgDQaq22E7cWALRaq+3ErQUArdZqO3FrAUCrtdpO3FoA0GqtthO3KQkAkRpScWIChUoFheoE
2sfH0T4ygkKtBiQJRKqGnKbq3xQww5fm/3ZC9B/9rzB/SGEv0Z/b76PMEpjrhAj30b1RxG6yn0n1o/6r
/uc+z9/n+6SB0JfSXJsK9jz1nXDjl+56ehsy05t6mrlMuh97hYD9W6+HpMdJeqoMfYiGAZq7RcNz9Adp
uEbPVa+zZHfROGju+hfJxs/ehblYsuvceOkrPj/I/PiAsBjS3ytpLvpfeqcydyd1l5m28P9I926l60PQ
czLrJO1ec+tt1kJ/rfdckqqhpPaalE9Evd84RlIqYaK7C+Nd3aiWyqi3t6PW1oY04vtuarQpAwCFeh3l
wUH0rV2HjldeRc/69WjfuAFQICBqdRQNsev9qf5N7WYSkvZW2AyRWuSIbRJJBGNozv0NfU3k3regr92m
9rvXXC8cMTMytv8y4o/YxrG92+/c3e5zab6QjjwFPYNRrb5GOgKTkveoxxJZQkgt+NhH2o0oUzeuSPcW
WcAwfaX+/sZmN2PKvrdAI/0sU3WJSPWSsNH6tZAeYiQBrZuL9L0KRthEqRZghIzMIppbJQcN+6uZqr+W
1oOBGpuTyGxhc6PqWrKrA1BlbvWgK+0LFe4+twZCBsDyz5d236XSzlG/D5o1XDepeg/1QgFpsah+CqjO
no2h+fMxsdtuGNp9d4xPn4a6+m4qtP9UANALV6yMY/rLL2Pa08+g89nnUN46jMJE3W4nR7R278vMZtWN
EzrvU0SRuS+VkjFvS9DEGgwYuM9lKj0Y6LdrLkvt5osYP/XX+H8i169/stkokQib325Cfa/lktLNIZLh
HrflSa7ws6Q52CtjS+wy3CPchgWIfrL9qbuz3DHD4CwAJIxAhbuHWurmIT0X58sdgMIAraUeWOpzfZi/
Oddz9wgvv9j1dRTP5yzZPUKQ8DPJVk1zn0tH/DR5KZC9NQCRdOBGAJAgtXsAWclCMslLX5iSdMM7TlNz
nek9EiBkNgKr+jxRRF+f1oux/ffB4DsOxcBee2GiozNINf8J7T8NALSIP/3Fldjl4YfR/dwLKIxUHIeh
DeO2tGAcUtLf9g8RZWT28Bv72PMAJ3ZbhiMMSOTu8sQvBO1haSQK2ngREwWkJzaSLNwwHWAJ4ixg4jgb
lwGEFAGImrwaPwNL6Yyjo4Eo7ZUpCPIiPvnGJfJAmOWSRJa2pWy9JSN2z8XdnwQZkRQOxqQDTs0x8wAA
z+VpjUiiIInACTr2/ZpFYgBA+hyT7sL97jWmlvglESkYocNyb/4OMqAu7HOI02fWV2RBSLAp2bGkoCFa
LAxvloDB9Ks6TjvbMLb3Xth87DHYsv/+mOjqwn9G+5sDgNYpe19/HXN/9Wv0LHsKxeExQ2TEoe0m51xV
uk0YVODAdXN9uw+jyG0sR1xMSLMishA5wnOdRUEz9sAjifsLu8Gj/K7I2hME2xX+dynchhX+c81pUykD
gcnchHKmBX1tZMZtuYzZ40oq0LcnZrOmubUSbDyBeWX/DuTP5Qj6ldSfiEs+ftEYjxaOnF3/aUoSDfx7
tKAQ+fdou3biNjcPOKkjNVJZpP6tgzo2l6UiCDn0fJkfdxDjm14Thb2mnxN5q47w42+QNkSO68twveQq
ipf66PH2PaRcnSAg0WPoKGFg372w6SMfNhKBtiH8LdvfFAAKtSpmLV+OOUtvR9urryMWMWiT5gk6vBDS
xbXtJfVqgRW/c4hMYj6Yvi9I96QHON2fdGq2FCIKInhkRNEUgfGxfj1Xdv1lAIvGjtBfRtynZjefpgkh
89+F5/nepPSAEobt1kDz/jSBBQBnuMy8VZH9VcoMB/bP8SJuGINRaSLhv6P5RyKACmeg0o9deo5NAKrB
VxKVO1sBv0+SUdNdp+dir09zcwnjDsQHvx+CRECw5vRz+jvyb5xJEKF7mTaShB0Fg8tUMhzKEryRgTyI
CAdkaaYv6T63gFNHZWYPtn74BLxx7LF/U2ngbwYA5ZFhzFdcv+++X6M0pLi+In5vFBVZbmUXyQGA5zxE
zMGE5u1nGf1UMC7IrdXUInZtphMzHi9WRqEPe1nk7zEbxH1vjFk59YMWNGL6uUAW5SzBIvSdkwC8zUFm
PwvafjC6ed2bb0fJbxZelZEcu6wVK3zG/vVzydhMUmZQDetN4rchWBoV31YePBUhJGmQQgI6sklysZnG
mjICjtiluQHzGUsZFBeZ5eiSzd/sl8z90kuPfm9pZqAI2EoAbv2l2wcEOl4NlDkQofcEZpvIgb17bq0Y
Y/joI7Du4x/H2MwZ+FsQ5t8EAMoD/dj1xpvQ9/tHEdXqSnC1XNNYwiShcFbmzRJ1/pdsizLXur6FbNhb
ZJn3G9pZijMiLnsU3W+IB/ZVQgSbQFAf2L1OjQj6quvPEGDC5hE2knMPBPIVZDiMmCibQwNzacQ8G47w
DLAI9mgu/RDIsjkYa7bjkEYKEhkAMEa5lMbA7TLIzsVLCsIZ8lIGKoJNwRnf4EBPBL0+CxpgRM8lgIgB
g13r1LsuGWjTNSlJColXO1IPIoRiaZB+jOuTfo+8pGg4uAgSIdIAFETUwVMh2ft06p03EqVGFcpYr5x6
aDwLcYThA9+GdWedjuF5c//qBsK/OgC09fdj/i+vRd+jT4C0m5hz9m0NztsFgvFINFkQwazV3DBomT/n
GPDuNENckX2JZDOgPRpFpKs2US+of4bwoGcLK/aTjEJ6vR2XDNZx4oiM00kZ/tbXGi9ETg3IirjCAIAE
E3n1X4kjMCHcWkju2mfr4dQK7SlwnpCUja2xka7ORYiwNp5rOtE2wxU9cJBrjtQaZuhkNgYrFqdMGKD1
ZKAuSOqwurxXPWRYI+KsAURJfHEuUE+UMJKJXXuyQZAtivafyPQhuFThHpbK7J4x9izJVBZhPxMZtUMY
lzQZNfXdiepo7KB9se7T5yoQmPdXlQT+qgBQGhnBguuuQ9/9D6FglF3zljwApF6nJ/E0bITIEzJxB/PK
/GZosEk57sUNW3CbIhvyElkDk7o2jiP4LSmDAS0AinTeIeb/dmAe+eCWrARgNzk9jlxoxKG5zZ1UCKvz
wm1kIcK6eJ7LdFYjBLsvwpuzKoCRZhznSb3NIC9lB/C1rlbpPR5mhJMAgPeO6CsdcdDn5JGIROQYnfAK
HNi6WRehAhphCcMbPp1tQ5Bs7gBAkNHQ/yczDXjQc6J4xtRDYASm++eMgzKvooWnufWLvFRmiVl6tSVm
0gZ5Sxi7cGNPMwZCr25ldoxTIyPAG4q1cVL9M3LIgXj1wvMwPmvmdlLcn9/+agCgA3vm3nUnpi25GSWt
95HRA7CIBwS/tiBxlC2NsO4fTaTt7W3o6upCR0cbisWi+sz2ZYJ+3I+IApF6o5OIPACkJNYxK78PIsrs
KmbQEWRtp00QLos8t8tKGWELSU8UwWThng0uFlsAsICXIjNKM5/IWq25jYDp8jRq4nypj1wLI+FPpy+9
SzHDtYQHQyBrlohcf5owtTFWOsOseQ/2CgtQbl4kIMUMVMmIJjzJCW8khCDVQfq5gwI96XovUTDJiPRq
Ttiw74eYTNjhdn0TsxnIFegIl4ynbizmPiRuuR2qihTkjQivQhjpIa0nqCr1dnx8Qv1UUKlMYGxsHDX1
mZXwEkgC6QYlgBCeENvtA7WvB95zFNaee9ZfzTD4VwEAzdVmLXsCcy7/GYpDw/5F2yi9IBpzy7OIYquf
qYUvFCLMmj0Dey1aiD3Vz4IF89E3rRulcsl8Jxy318QVObGcPAVEDaTXe5OZj+oL+nKwCfjVcJKAHSNd
b6/N6nVBXA+gQ980LKjI/OMNf/5KMmxKK0EQf7W05DayMzDRHEkA8aNn/mxvViA9322s2H3JpR2wsdPN
XipihpCIiROJl4wI0HNrKIJ4TPEIek+TzT+id+4FCWuPMeTh3AtBtXEg4a3+WU7tpSz6y9OQkwyckw80
Ji+xqD2SBsggj5OHEOkC0MDsCGydCBNMYGpiAaheT1GtVjGuiH9oZAyvb9iENS+vx6qXXsa69esUIIya
8UXaCpZRTQkkAxOg56XlAjafcSrWf+gEJHHhLyHHbba/CgB0vrEJu3//B2h78SXn+3Vifez0oZybJfim
E8ybPwfvPOowHHLI2zFjZi/KiujNsigEJct5FMfMNRUszHwRPYE7o5d3NQoratoNFjn1I3WSBNtcnoME
9xstWXAlCofWFKMYhe88GwxcyQ4+CODWFCYy8Q0goxzfmpIRdgZFmNApRQh8032yeCqKs6CPUpnyIDm2
GQKiNErcWQOdJDatgZ2rGl7BpdDtJKhpkQhGX28PCdKOkWDy9G2uiYJglgoGtjQy6W12VgV065WSrcHa
hig82rgZhc058dIn+3HoZ9YsYeoOF+mtmmUBgFQu94LN94nh+AoUaimGBsex8sWX8cgfluH551egWqki
jgrBvpBRhXLvVY1vYuY0rPvK59G/3/7Y0W2HA0Bcq2HeDTdixtI7Uci5tgShe8MjJTo6yzjmXUfife87
FtOn91praWRVANKR9cal4JmweE6dMMhKyTvSbyxyv1kAkMYD4Tky8xiEBcnuPS4eB5tc5LgwiQRBhA18
kRvnmD7PWLfwhj9myRCB+L3NyrMtG5+fp04vPbDbKDkn4uvBMQyZxzZtcpK/QnAPWzPH5QmkIu/pCOHY
YK5VWrdmj2/wDPKr2PIQTw7SkfSfUUAO2ZW02znYErJc1kgHKTGObJ5GKrNGRIpI1IY6UrdSej2pCxiL
yePjVC33/dhYFc88/QLuu/e3eO2V9bmXQcZLEQCUjXHw8IOx7gtfMElGO7LtcADofeklzPv2d9DRP9Sg
G2dfsnRGjwRz5szExz52Ag497ECUS+pFCW0Ei5HUJUZHR7FlywA2bd6C4eFho2NVqzXLLbRvVutfLsgi
lcF45wkH4Xdj+MuwUCbSAd4Ix8V4bjTK3CGIuIQXgUUUQMBe4p7FxPNUgkkjwUhpPQ/BR0536I2rXYhe
tycFgYjXcU4LfY2SgiDJAiFwJSNJbKNlLQjBg+ETkLxV0AUAJyLouVGUEVKsBwUspJcUAqaEyQAmHjgl
SQduvVKyYdhAopAfQpmKbowu0jJFYoxswgWdeYMegpdCUlAWif5sjcgmIh3z0fvNeEz03pMI+Saqr5IS
0bWdqre3BzNnzcC8eXMxY9Y0FMva8FyzNo6kgA2v9+Puu36Fxx5dhiQJ47fGXxEMwbCGSL2/6uUiNnzu
Imw89pgd6hrcoQCg03UXXH0N+u75tQmbpdfrpPCwsRxR6UnOnbcLTj/jFOy3315moho99X2vrFmPJ594
BqtWrcbWrf2YmJhQgFD3iM4C2HzUGL0IMAx3vwQLcRRlNlxGSOEeBEfYxi/OM75EsCdkXFzunpCrEAAg
lczG7AkiK1JTkjGNyw+YFHo/YO4Tp/GnGQAIxpDAaaVLDPJBMF4KmsQI2rBTgps0cPA8wDfeH0Jk07Ae
TAXMWMS1uiIjWmnfUoYkwlOmZBl/gl9o3psULlPS6RdW7cv37N45xVEw9YfnEgb7Az2bK4RBnLJrkxpV
slCM0dPdjYULd8Whhx+I/fbfB23tJXd9AcNDY7jjjntw//0PQUc7G/lFJtn9BJLhLMcYPfhtWPPVL6DS
040d1XYoAPSsWYMF//r/obRpq+1cWPE9smozc/VZq+isXabjrLNPx777LTLivhAFxe378YBalCee+KNa
pFHwrEC791PPef1GIKCh3SQjr8MTLXjCi90G40YwplbQBhD0xkWIogvWd6IeksebLWGOsAKyuD7yABC0
CUtYTfp1LC6SPiPaKxhR1pzp3U127qk3qvlN3QwAKBYiWFPZs9Os6tAUACZvAQBEJiy2EQDcL4wYQ8Zi
yCewf8ksQachwcsaIlMGEJNwTRajn++XW2JIYhVOv/IJUHxNDbCRdCG9lFoqFbBw0UIc9/734O1v398Y
snV3IyNjuOHG2/DIw09C034q68EmkZKkSJJLhLqSjjd+5RJsPPqd273ub9Z2GABEaqLzblmK6dfeaI0r
rvvgBmM6jfq+o6OET5x+Io448h1mQQqFguL2r+GWm27Hy6vXqP5iL7rGERcTHeelYB3HOylTz0qlxA+F
1wO9F4Ay9dgL5nH+mcXJhRgT+wzmuTchgIhxa58illn9SfRxEczMEaUl014NfdoIxSCNmPgE1xnlBWbE
/jdtaZB0mM1DsnEYcGVg5nsXwR6zrf7Nf9O0yXdZzrftTydvzSz2uc6a2KC4vSD3ec7FwBmBHRkZhGWW
waUORByWaWWlu7sD71cgcNzx70Z7R9m8ow2bBnHFz36J1S+sbsg+tCogxSJESl2oYfQ9R+HVL15iCozs
CMLdYQDQNjCI3f712yivWGUIlthxIwBYPeqoYw/HJ08/CeX2gtrIsSL613D9dTdj/fo3zEIUGPHFvngH
EYHrn3QLad1+PnQVxAmIo7O8Aq6KhD0xSYRhsNd7ADDaMBFXE4sc3bG9e5ZTaJPUefoscqpOsHHDCxaR
C+01v0vabsaE5TYftjGejFzg1jjkFQS1ig+IxA+eJhz0qWYqalavb7Zm2YQfwUKuJ21e/ctWIgrJP5Pd
lmVGGdWm2fXMbcqJ3L0Z0uD9mFJeVSkT3FRHqRzh+Pe/Fx898QQUlV6fqPufefp5XHX51RgfHveqrLMd
OgCQPq6jMq0b67/xXzGyx0IXpfDW2g4DgBlPP41Z/+93UR6vGoINFiC2g2EXYcbMPlz8mU9jwW5zlBSd
YuOGfvzy6iV49ZV1WkY3cQSx1tWlq8pCXUSR56Sp557WeBb5yJgoEFIaeS6brc/jvt6GZMjJghcSyV5h
n+2JxQUl2c6xbRBgNNUgyja51PrMLaclFSBNvTPT3y9SGpMbhLmWrGtikt5t3/TKqPRKZFMV3SUJ/GJS
Y0Fc8Ikyky8qcf6IlcYiTukTsdyYfAYdiw4NFsJs/2TIy7zjCCyHIT+O/OfNbR++LoCgMYkmAMBvyBI/
HLOS/pmpWce2cgGnnnYyjn3fseayWl3iml9ci0cfehQxShZSQt4V07gE6qhh84XnYuNJJ00dCUAT6dzF
SzBNif/FQjHjAvLc0Eu1NaULvRsnnvQx6LiGJElw84234w8PPwHKb4cDALsJXRKHjFxsOwMAetNwFlMi
SnYd7eoQEuwr+rFoOe4ZyL3RzOd5AGj4x1cQymf/cb02GOZySnXmTQTpgzidNUKmvtQe2KxtNyzu3+sM
jO6bSN4UuiwppkFSSjEruOIkOF+KjGwhOUOj61CNL5/TboHLl/gSCHMnqYaEKRe8Y4kJ3qPjjXS5Gnw+
iCaiFQlj5qnO9lGs/gAAHhFJ4CH5d0x95PZZMkA2zJHGS3tPkseBG4xTE9MyY+Y0fOYLF2G33eaby1e8
8CIuu/RyVEY0Ay00qCvSzVd7E4bedxTWfemLqJXb8FbbDgGAUqWCBd+/FF0PPa6IOmaBM9KL6tZHLNDZ
XcTFl5yHhXssVERexIrnV+GqK65BZawWXGGwoo+p/RDVjFhr+FxELzz/Qz5gqh9AHIbJ1IIRsR9fNosM
HiD4pzkO1HQVgzUg1AuJMgCQZb4ueYZRpvCUKkKQjdvOqbOiZzLj1Pex0w/Nj98wKdUfCXYEWqUcAETm
9aSuD+5pcNQYhbl7LwfHKWlXK82YxcniC+c5IPuAzBg7pb+W1titvoSH0IRiHwSrVOQEQuGslSmpYcEH
mH01zNpjXHkIhWLsXBKT28BVREnKE19YPlIOeCR9UdSlK4NG70zwmhKwzzNBxmmCY5U+f8aZp6JQijE2
VsGVP/sFnl3+nGKDBfY+c89XnVR2m4VX/vEfUJk5C2+17RAAaNuyBbv/4z+jbe0ma82H1ZTNGrokB03N
ev/td8AeOP/CT6GzsxO1msDia2/Gsseesv5uo8tHNHMTFlpXYFhp60IidACl3ZxB0HTGPor+I0s+6euZ
xHM/YwgPF3kQCKGgNg7cvVQf9x/AxW4mdqd7Fm1OSzAsZt9vmpx/PIrclkg9EQoX+y9ZHkHKiF8QMaVU
KNQpItLqBlQU1KhQPBMw4wKILOxIGq8zNpEfnNQm4wZNPecM3oasAdBb+Y2kFXvXGlXTzQZ/ytxPAHMh
XCqv4/j2CvLXUx4FPKBIgkgBn9TEQYCYkQU6xtHZOzEgRtGWxLBoPVxcg8kWdKqQX1Otr5N70RE6TTNW
zylMjCJKJrKeIyT++p7eTnzuC5/BHot2hdIC8JvfPIhbrr8VqEcBADK70+6N8d52rP/H/xtDe+75Vkl3
xwBA19p1mP8P/4T2gVEzZC85EgDoFystKn7wI+/Fhz92nBHx163bgp/86EoMbB20VXq5Fqd3TCww0NWH
8eM+ipHps41/VdBLYQE4ltm6+HRmuAuiHuMwQnpfsuBiOWGF/omcjzkiSrAiqgcXwBWutNsvtpkuIbhH
BtHaEgSFoAY925cmjyzHT3WYd+QSf0Dlx0O1pMgRh4U8R1hJiLWnEuEgonflvAUHIEmMmVbR/Z3aPAEh
weI3SOW24bB8l1BJ9MgnVLm1cKBrA17cspOhxeIUNwWDxHoLdmx8NBaSlDykhaAbHg/loyRJ5fHc073a
yJZTI1nH5pGQ1dgmfJHDUK+/xZHADETk0pPJw0BZhDR2t+5JYpmCBu6uwXGI39yDzrUv2blENL+E3iA0
GJx0ykdxwkePN3UAXlq5Bj/5weUYH55oqHMaACBCrU1g81c/jw3HvOutku6OAYCZzz+PGf/Pv6JN6S9U
WJMaGXw0/xaFCJ865xQcfuSB5qU+9oflWLL4FpNEAUkRceFeLeJu7pqJobMvxsiivZHEgctY/7ywOzcW
zjYYxExb8ANOBKNYgpyZXbqcgSj060VWl2Qk7Z6w4CNs2TBJOqBLQIrdTqSXTPJlCBfgxS8p1ZnE+yBe
+w3Hxmhg0+j9FMnIgUj4eVB2YhQxkGGbh/8SubqInoAAD06xIN3bfp5KLrI3WtaJWC2XJqXJirgsiNJ+
KkO6Mb0vioX3UXk+Pt9d71clMmcqSFonwjs20WzADpwOLvy8BQe3nF7vMxXdxyYHBDwduIn+Z2nYJR7Z
xZLCumb7+kdQvPwKTFv+OIppKFAqme1e57a8/eD9ceFnz0Opo4ytW4bxo+9dhg1KkramiTTsdUrMUv3X
xAS2XHg2Npxy6lsl3R0DAPMffhjTvvdDxNUEVGCDWuQO19AAUFaTvPjzZ2NPJfLoDKo7b/8Vfvvrh83v
3nTGaFRzgKHObsy78EKU37afDjW0sdYuPFa7G03cta3DTZqb406WO8Y6/j8KoEC7lsgnEoHb2edLb9sn
NSMWgUAs0TCDl7svdVwhkqRb0yUhGEm4frz4yQjKMLXU9c0QNCJ/EBng2LZ02rYBBR+OLAKAeGFdMCIG
kwrYPg4bgqu+JAQLx9mQ8VXTZ3RlymwunpD4E5gBztCLIKGFq19WljdiN+fmwkkBIrg1faVd+kmD2kDi
BOVJeLRlYjrf+akDIGtnlC74yM47lRyW06AcasmhHkKDCSVTpZp1joxhzQ+vRG2ZUm8TbvykFbFWztnz
ZuILX/sc+mb2olKp4aeXXoEVf1rlIiJD+LWXfIRWGSfwxpmnYtNZZ+OtEu8OAYAFutbfD3+qJmqn1gwA
tArQ1duFS778acybPwNJLcVNS27Ho79/khGB06NFMOulbTG+/I0v4/Bj3+GJUDj9NBIhTz3P5shbHfnr
w0YNV4VrJb8e4VAKijwTnhjIZkwaPSP2ZispvP08a56SDb+ENQMjXmTHnuXYJIEgGNiYpMFz17PzzprK
iFCj3N+C3cePGMkU2CAhxCRr5XVvppFLTx8NY8oMzhN8luvmL8kYE3Pzadbyq0x4kF/XAA6u3Bi7zs8Z
AfhYmUB2jQKJ0Qq++z9+iMd/96TP/Q/ByKQ+CvT0deILX/885iyYrSThBFdffi2WPbLcJq3lO45stqlE
FW+ccQreOOfcKQIAd96Jvp9cidj53X21HFYMQk+2d3qvAoALMHN2L9KqxJJrb8UTjz1tjXmCdD2SepTu
qfsqR/jHb34J7zn2CKWrJl4nDuG7Tp3OpHWSQzAQqtXrrAjFizHwDR7uJ6IFuzZsengenCVQTkB8UUMN
Xr7wtIkJUli1IFZo1JOzyPbJiTNDzOx10rrnW/6FN4s/4qa5RgIh01zghOH8gOz4+EyaEXHo1Onjmbk1
AliU+3tbwJafU37d+PvhYES2l/zeoPsz65U4d6kDNiMJKE44NlrFP/zTpbj//icVMcegbEXBAEDbhbr7
uvBFJQEsWLhAAYDE4quvx0P3/8EyHs/XSHezAJDICWz61MnYdN55GYXxL2k7RgW4/XZMv/xqEy1qVeco
6HtMfJ42cxouuOQc9W8X6pUUN153G5794wrHZWVg1fxttkf479/8Mo4+9jCrZ8vA9fMGv/ytRjT2rNH+
aHXBx7KRnsu4Fd8k+aXlnCcvCpvv3Zcp7yS33QT4OIN5y2q5bDKZq/l9gQS37wVntlDmXj7fFI1E5g2O
wHZHnRGxMWXASQDSJyLJ3PXZ+0MhkHSyzd3ENccluGbvK/sG8vN2cONEfe+4ajJGzjpoXtweQ5Lj+OgE
/ue3fqiIeZlNcKODZhgApAYAOvHpz56H2fPnGPffrTfehofvf9jEAoQYONf/1AWAOzD9pz/3CQwk9pO1
mMTVnmk9OPuC05Qk0ImJ0Tpuv/lurFr5csD5HADoPyvtRRz5lUsw45CDzBfG7ke6twiHZZCOHzMjoF7s
giBrtZULYtexefkiW3wjAIpgabTN+FfqiCIQoxEVXZGSlOnxvJCGtbgHU7d+RgyyVVjXUaB9k0ZlbZxu
3DS3iDa6yBNbsAX4rD+2rMRoKeovL0onIlQeAv1O1/AoPXq2pH6Et2fYjR1KdgTDIIIBj62HWTsXu6Cf
l7h6eGYdfQq0BMVFcMuiNwaKLJiFWIUwvmBfcMzGmVb4vX6OjskQKJpdkooQRyGd5EZGRvciqEBIohN7
lArwyA+vRP/jy1CI2KDo4Bs3786edpx5/hmYMXuWKRJy5y13KhXgSRvj4dc/KJB6LomoYYtWAc6dUgBw
tdncwqXQ+hfm4wKEQrtunHPR6Zg2o8sAwB0KAF54/kW7cSlwxsuMVgwbaOvEwBkXYmTfgwOgxAQ00EkD
LrMuUIdFcGvQ89KTN8LZXyyYugg0J2tli4JacMkb13jOQMqi1Pz243q3aCwQpkVGpHaTC5fHb+zGglxw
jnBSgAKM7KaW4XfBiN7fYnl0LOzBp8ZAqvotpjWUagnieh1RdQJxrQpUq2oc9VDOxqylPtW2jGq5iGqp
iEopxkixgHH1eV1xo7qbZ5SQYc0iGCV+Za3zZCWxth9akYgFTPEj+QguaDh+xVz4M0XueiJg3gbeF93I
AQDMgEdx+TbCmHsP3L9pOFpNyPDmTB2AYNEEoZWJx0i00U/4giDmRy1Wx0gF7Tdfg75nfq+2aJoBAOlA
Vts5Ons6cNb5Z2HW3FkmdP2upXfj8T8o0KBcCBGIn9a0LqrY8ikFAOedP5UA4Bp3WgoRPc++M7zb6Dvn
XnwGpisAqIwmWHrDbVj5wosQrkyiWew4y7EG2rux9fTPY2jfQ5C4CFNXRdkSb5wlCH/GBtkKEH4XjnV6
DuYpCkFSIbXFFCUhPzXdwwmcc3iWoZcRfrMiI+02IiAt5Mb8NGIWuZcX9BmWOUknciAoXE3EBEU15vZq
De3DYxBbtyIeHIToV/8OjCAZGoYcHUNcUcRfrSCpJeGob7OMuvxSEWlbCfX2EmqdZdSndSOZPgPVadNR
mTEd4wrAq21tmCgpQJAFq2Yl9liykLoK83fkisCTV4SZMpBfkrwO4lWykF/jGb//jhkVfWsIdc6WRA9x
+UyhcdWJQ+xAOOeRvbIg5rHPImchlFx/0p+rNekar6B841WY/sxDaiWS0KE7L1CkVgLVAHDOBWdj5txd
DFjeoSSAxx9ZpqRBEdQLH2RmOVwdFWw64+PYfN6npwoA3GkkgKYA4KV6JQEoFeC8i8/E9JkaAOq4dclS
DwB0ferSnwnjB9oUAJymAGC/Q226twil5aI4EHY+QdBMjivcTLHln2cOsGXrbSUDF13oDDhwwUqpYMSI
7Im6PNYgysfeemGUIC91OqGbc8q5EjPmgYcYw0ckao7apqi4XW2J9oF+yFdfhVzzKoobNiHaOoBCRXN8
xf21HzqR7jAL3YGL7PN6aVgM3W9d2oBVk6BTKKGqj7jubke1rxfVebtgdOFc1ObNQ61vBmrldheym9pT
mUHSioP9lACUIuayNg1qqbeXCL8e/iOZB4BwXWb3uhvoBCGRW0e46+kcAV9Ozpn1s0VmWJ8p/LH0kvk9
hTsrhBJ3vPSj/u6aqKB005WY8bQCAEm+BAKAyJVvVwDQqwDgwnMwY84s496+/aY7lArwhCv9znQwLwlY
N+DmMz+OTedOJQC4/Gq7GE4p5YIL/bdneg/Ov/gsTJvZjYmxGm5RAPDiiheBJgBAb2awvQdbTrsEw/u+
A5RjwonUbFI6Do+0gFwqgFm/iBF7BgCCvk59w/WRCVWXod+UjwFofAWk/XiCZqfpOtOWtTOk9oAJkkDS
tKETPxU2GM2ty1p/rIyha/1ayJdWQK5+DcVNA4jGKmrDWcBInchLbs5EukNRXO4BaTChZxfFJ71m78eg
76nG1k4w3lbEWG83xnfdDRP77YPqrvMg+3pQK5Wc1C6tOkNcMqPD0vOibKlzJKxQaRQChgBXfsypCT59
N+JMOvsOqO4a0RsZSgz1pz7Sj8LKZXhFmfcdjCMWEbR/n9aLKoub+SX2eTYaWIcKKxVAqVulm6/CzKce
cCHsDi1SN3dYIOpSEsDZFykAmD3TA8ATjz7ZFACIk6VKBdh8xicUAJy/3cbgydoOAYB5d9yJGZdfpdRQ
S4Xer+6Nb3a9e6Z14fzPnIW+GT2ojiW49QYLANzfG/kdaSu39rd1GRVgeN9DFQAEYx3FANhw4xSUhGCt
txaeI2MsAJNC7EYwjyPrmxPx9b+es1PfuXlGTai94SMBZ5MIYrBwLCKi02xY7rhg21jkjzPT8yRTsC4z
pa5uV5umbcsA2hW3L69agXjVq0rMH9LF7lFQG1Rz+tQRgc9hoIAZqpzsfmQmLZZb/Nwn7neqZZKQ3cJ8
FqNWKKDSXkZl1jRU99kbY/vvi9rcOQoIyobgIzrdyFn1yOAqwHMmST9P/XuytnLhnyvTLD3yRpyXkhnN
FNyBPM12NnngCWvtOoTObU6F/k/ioY+L+e7VWozRIdQJgIyqYqWr9loVpRuvxKynHjTGW6RZP4rFxxTd
Xe04SwHALnNmmv2y9Mbb8cRjTyoQZ3EAFMstbOkbiLpSATQAnDc1AGD+XXdh2k+uVLoP910yo5r+T2QB
4LyLNQD0GgBYqgBgpZYAeLimE/HoVBZtA9iiVQAFAIa1ue9c2HwAANLPzaaxcqeYBAC4/i8Y0XuxExnV
y3+f+RfhO27oi7ywm4bEJqvwWWCQwRecsQ9QfLk3eAtmE1XcPknQuVmJ9i+sQGnFCyht2ILC2ASimjUq
pc5rQGKoJIMsOGUQ2cGnF3sxextbSSKAgGA4Qbr9hOJ6iVIFKjNnYHQ/BQIHH4SqAgJts9FAIR0ACM0d
abp56GS/SlfSjeQm8gKYbjLpwAGk7NKSbEHRe7LJXGzij+QGBCo7QOoGLCc3Zy/StQwkRBoki7jOTmpy
L1CrT+3VqlEBZj7xoDHIUr0/mmbqwp27FACceeHZmKttAOp/2g34pE6OY+6JrJdMSwAWADZPGQC4+25M
u+wKRPXwUhs4owaA6d1KBTgbfUoV0HEAtyy5BSu1F0BG7Aa7MJGphCsw1N6LzZ+8xNgALACkDgCEF9PT
yJ20604CciGJzkiApgAQBsciF7k/jd2X25/eWEj6bsYGoJ/pAMDXoRU89ZeUSlI93O4VISTI/N/lHrQp
zt41qDj+ij8hXvY42jZsRqmiBlonIxgLj2VFSDIRgfTkNNgbkCOQZpqkF9eDbdLMiUDKSk5OJJc2fbsS
FzA8dzZqRx2B6tsPwHhXpy3V4SQgu2ahjJlo8nAfMiOsNOBz89k6pzQ4ZhS0+iP1kb2et8Rn6LrrGXGH
HWgBwMw9EYGxkc5PaqG6LE6dyuXu1u7hDgUAsZIAZjz5AApwTMnVs+QVBzu1BHDhOZi3YLYJtrjlxlst
AFBKNbKSkgkFVgCw+UwNAFNEBZh/193ou+xKhYbMoi2yJKO5X++Mbpx30dlGBahPpLj5eg0AK0HJIGEn
TgYAlEEWAMBcHaXwBTgM8QRVgbi959QRQwMudRDBN6F4f6kfYuLMeBTIwzaaO+HIJOj4+znhSc+RI2cw
Nfnuwh6KkboDPQvq755KBb2rV0M8/gTKL72MeHTMivkyNhKlATyzTvbo6kwocsNbla6CEH3ppCUZvvc2
AX9mniuCyRCAFc0OxTUkVVm0HKqm/hlShD+6916YOOJwYNGeShogT48V8KOUPVtw3mg/SAVJHqSzObIR
zHCHQHTcqMdmlFsOqtvHsiky+n5QwaQLjjYnRCVsrMyeZySAxHlo0jCW1AFApABg+hO/MwBgQT71BcQo
Xbqjqw1nX3Qu5i6YYwD61iUKAB5vBICwNNoIWFMAcCq2GC/AW2s7DgB+fKVNepCBE2cFY4m+md1WBVAS
QE0DwGINAC/4SfKafRoAdHcaAIwRcP93qPcbOH0UhaKVJpvP2QxMF9QHvK3H+fHTjFSQBwHvSZhMz/cY
kyB4LrIAEJsDKAKRm3H4ohsyzNVzMOsP1nUPUje0DiXuz9y0FR3LlS647GkUtw4jqiY28Eiw47vpeHDQ
aTUycCra+Myc3WAxJwCQaeZkWxHRUVnE9TgpWQlHUNVdsqCzrlMTxi1RUe9ocOYsJEceifJhSiLo6bUH
g2pOmGRLeqfIES+ZDiIBVv5JASTj8pIqBpOMnq9EFObky53K3HWM+M06ZCp6WVtElITDR3wGlAskIgBA
MwBQKsD0Zb9zT0tdwJqTkKWVUNq723COBwCYegBPEQA0bRoAqthy1icVAFwwdQCg90dXmJdqh0jKOZnO
LQBMm9WL8z9zNnr6ulCrJAoAbsYLK1Y2GISClcpJAKd9DiMGAEL4b8S9BZE9c93XACEgQCMApFEUnuTB
xr3wiBEPA4eIPUq4V2DjAyJnnU4z9g6fm+/7yuTEsc+FN0qmDgC6ajXssuoldDzwKEqrFPcfS1wxFRdm
yvRwo6O6npu5u+y/rIKtCEdl2e/SUKOfJfhwgyCpOWEqsQct0Ky4NR22VkHkNBttFhotd6B20MGQHzgO
Y7tMD9elgbs1B4DIn0/o+3d2nWzQUAAAl5rvgdwTtC9LPwkAmEHYQCCZ0vvaPgCI2RJSJGhndQLipqvQ
t+y37jAam1PJ95K2C3R0txsAmLOrA4DFCgCWLQ/h8Q3NSgAWAKaQBNBrJADLgTKvUgRT+3QFAJ/+7Dno
mdaN2ngdN157kzECEulkDpl08zcAoL0ACgCoO+H2QaBKa3DL+/d9uKx36SVOSohy0oZfjUa1AET0YcNE
IslUpwfzETqmzqxKyDjx+YFPxtBlYoD1fCTK9RpmPLcCXb/9LUqvrEehqtcztjKGoADk1NemJ7VH+Fxi
GURnGQg3Sd0Zhy4gxRoJLaToXRc7TmxEY18XgcJOBOADWWylIg24XoQGQKF4VGNRP1ZvetKL9c9YsYTR
tx2A9EPHoTZ/VxdwQ30GuvJeAQIARuLEXmztAWvwYMJBGAd5BYCsmuGlJPZiMwBgxxMChVzZdQIA/S0t
BVXtdQDgtTsHAF21CcgbNQD8JgMA4WSqHADsNteodRoAlmsJQLwZAJymAGCq2ADudABQh2dPPl7dNc0J
ps/qwwWfPVepAN0mFHjJL2/ESytfciWvnZstI7+7OIAzvqAA4DCiGRehJ7LiOrcj5nz9XnQXiUvUidzp
MQ4o/ECTYEjMNGfVd2J/HCW57ywAmEelaPyOf+KemapJJ7qQSWyf1VWvYObTy9F1/0NoW78VqCVhX7rM
FC7i23mygzBc0YmUCnYmwhjdCqp/bWjS1uZpPd3o7etEV2cH2solaPt9dfAFyNHXMFGtoFaPMFxJ0T8i
MTwKVMZjVKsxaorrJ0a1Kdj1Ngq8tpAb85Yze2XpyRdmZitRiQro321XFE86GcmivdQ2hlWVNEBFrsoR
C96oO4Dw6dfeZiGc8ZFbAXNZewI2QMmIGVFWjQhbJvuG3BceACRVoSbilsbHL3IAEDUBgE4DAFdi2uO/
RlFS59KJrkQmiVIB2nHuxedh9q5zzRhvUWrxU48+gVD1IdeETQfectbp2HL+VAQAt0N9bTy37hYAehUA
nKMAoNcAwPW/vAGrXljlXwQRpR2Y3U6D7d3YfOYXMXLAYf5wmpAC/OcBgBVPUw8AVhoO1W81QAjfMV8k
x3kdAEQiAAAd5ukLfzDJ2Fe2YWtlyvhpHVntmnoxMvPoqlQx46nl6Pvtr9G+aQiyJn0lHngLf9CZvRjp
Kiebwyrr1lKlT6HZZeYM7LnbHOyx+xwsVD9z5szAtL5uRfglFIsFdxKyenY6jGTjEmDr/YaINRlXkwJG
KwUMjSTYvFXi9Y3Ay+tqWPV6Heu2RBgab1Nj71BrUDBFK9wpfM5ORzaKZltKyx8xJrRKsHAPFE45EeO7
766INDZs1YCcSZsNdySCGSJFNmORXnrOmcofx+ooNgcA7pfxLkCvJiADANZGovZAEoV9iAAAQa2yST5a
Aki1DeDx39gkL4Ro0vBsawM49zPnY/aCAADLH32qcT5+v2nDpAKAsz+FzedPETfgvLvuQZ+2AdQDK/f1
6BxhWgDowQWXnKu4UI8DgCVYvXK1NziZSTMlXC/VQFsXtigAGD3g8AwAkIjxZgBAxr2wZ5IAACTLOVSO
DGeneGO+SGToI/tBFgBs4hB7hmeD9hevNgpT79FGusV2nXqqCaY//Sf0KuLveGMDUnuBEQcp4lDSzqKa
e64Ap+4vSeooxrEi+j4ceMCeOPTAfbDXot0we3YvOtpKSgKIWJUlCar5byA2HUR9/VWIN92HWNSNjSU1
cYaRtW8YcbOMSrWALSPAmjcknlyR4PHnalj3RhkTSSdQKHqJKXUl1prvKH1keWTGXisIbN1zEaKTP6HU
gd2NB8MdKeoibOwdSWQt4ZEDwzT3LmUOAHgLNOneaRMAyLQ89zedZAEALvknDwAkEVDT5dC6NQBoCeCJ
37pQYJc4xUteqY46lGR27mfPxy4L5hgj0C3XaQB4EpNMy0oGsq4A4DRs/vQUAYD5d9+Lvh9eDkEAgJxR
z6ylxLRdenDh585D77ReVIYncP0vbsDLL622vnSfARREQE2kA6VOJe58SUkAh3vLtfBFOoFMNV4ieOoi
cs4jQUE5gnfP3iJ8H1yqNJ85VcTUFnQGxAhNVIDMotLzU18bQHOzRBG8Efsjm8LcValj7pPPovN3D6C8
5Q2FDnUbBCPhXHYZp50RHyjLUfshOhT3OGDvBXjXkW/DwW9bhHm7TEObInoSYCa3jbuW9mNi3ZUobL5P
rU/dhcjG2eudtd8ueBGVpB3rt5aw/IUEDy4bxwuvljCcdChgK/p1kKygSX67EQhNxEWM7Ls/xMkfx9jc
+b6MNju00NszzNEQPt6BS1STPYdNUW7fZ94NyNx/IG+OdrtSJCDF/9ulCQDAJRcGAL3L7lcqAFVpTpHl
FEoC6FISwCWfNgCgqzzfcu3NWP7YUwgl6LIGVh0glKCOreecriSAKaICLLjnXvReup0AcIkDgJEqFl9z
PdasetkuDBmzZMQISAFAsRNbFQAMv40AQFo3lZAZfZ0DAE/8oYCQiBCjSbDPmwGAYACAHABoQ46tg9jo
tomi1HN/zdhNvQBddVb9tCmRfZflz2LmvfeibdMW1H1kC4mhgfjt2Mh4oFQGJc4ffNg+eP97D8Uh++6G
XrWJYtFICCQybxMA1l6JeMu96ho6Toy08DywedeM+l9R6eclbB1uw/JnY9z32CiWvyIwKnXQTwH+bEbh
imv6lOowRr2mY3EBIwcfAXHKKRjp6yVPv987iVs75JlyWGG8KQA0YffNJYDAxo0xVDIIZQAQscQ+igPI
l4LTVYG6ahUkN1yBvifuNzaAiNQRBgDGCKje3TmfuwCzd51j7DY3//ImPP3oU6ziNQeA1ABAXVoA2PLp
qeIF8ADgiIFEVYRgE22g0gBwgQIAawOo4bqrF2PNSy/DVrVlbNvruRID5S4LAAccAYJgGyW3HQAA+1wv
AbjwUn8dcxe6teYrw7wAWV8/SQVpLm/U9hsx46QVbbX6U3e6vx5vUW2QaS+swrQ770LP62vN8dDBr9BQ
PRBEeCUlzh900L74yEeOxsEH7oG+zrIh/Mk8xm/aFABUXrvCAEAxBCb4LMHmAGC/szHpRbUGbXhjsIwH
lie47eEJvPhGSUk77Zl3I3NZkQZkXH2DwWI7Ro95L9ITTsB4T6fLiLRvP3G2BW9kcz+pz96MwHWC5nF/
bC+AOHwTSNwWAKTBvbg9AKANsl3VcQMAWgKInbISCrzSeK0EcM7nL8RcbQRU++CW627G0488mfGI8ZyI
2Aw1wZZzlQQwpQDgBz9VAGATIcKCEGHYwP1pu/TivIvPMxVQq2NVXH/1EryiAEAjoef7zLKtOxoqaxuA
AoC3HwmfyRbZABziuj4sl+v8JAYLCwKkYaTce8CuM4/mRkXBJJmckkdJPfxgTHI9+RfnaUmamPjEAUBZ
Ef+M1a+g8/bb0LtmrZlHQq4t/7YjoyKQQUP3PW/udHz0w8fgA4rrz57R5asDvRkHnLxpPWMgSAAymMaC
378xOzG8V4u0NnOvoO3ZWPlaGTf+dgwPPCMwVOtQ76lgjfxwFnQRXIkUbajF/MFSD6rv+yDS496D8fay
q4kIrwJwPp9SwJcbE9+9echq3Nhk4GsiOfiTl6Jsv2R7kSEByGe9ShucKtKGrpQEMI50iQaA3xrpyp5H
ITOP1WNp62rH6Recg3m7LUCkJnzr4pvwp2VPZ/JQfFqAdBE1sobNBgAumEIA8B8/0X4bH4MeCiBqmi4Y
5C0ptDvi2GPQ1avEvSTBU394DFs3vpEDAD46iWEtAZz5ZQwdeKRzvdi3oE1V1npP3D0AgHfzRGxTULiW
DtUV0hGYC71zMqY5u4C+oz4Qg8I4w2chCoWf+m3t2DY4KHV2CpMtGttTjnR5shmvrkPXrUvRsepFFAzX
KdqVikJFHW/+hy17ftAh++LM047HgfsvQGcx8n7lLCd7U42/8dp0UAHAzxFvvk9NsQ5audhPtTlP9XOW
seX0LutBRkUMDLfjrt/XsPiBCl4f6VZEUzSGRantFy5kmxd01UPRqz/U3YPkgyejevQxpv6AeQ7zJQaJ
KoYQzUEvzf3eWB/E6fTN5uS112ZRgghuRkoDJu8vpQTzvhoAgJ0yxQNK1APjYhH7HHowembMUDtB4Lmn
nsbm9Rt8BmdeutPyXiqrUwsA5t2tAeAyFzOdBQDzEGPISBC3lbHb3vsjLildsVbDhldXYXyo36nmzQAA
GC5ZL8DwQe9sBABD8VkAMEsb7EjO1QcGAFHGdWd1AHceoQMA7+R1C06W/jCskP+ZBwB6biqoVkGkuH9q
Qpf7Nm5Gxy1L0fPcc0p0rDuLbsFKCn5PO61d7f72ziJOOOFofPLkd2HB7D4lpgeXpG1vBQASAwCVtVcj
3nQvCsas6JTtlF/H/2Uvxv1L8f8+u09NvlLrwsN/KuCqOwex4o0OXa5EfVcwdhQfDMvUKyPuq82ztWcW
cOJpqB5yKGqKMCg9u9HBwiS/jEid/T1oMjJz92Q7/q8DAL8xNXwy0jDrPC4UMGfRIpTbexRN1LHhlTUY
HxzwzDM//wAA2gtw4dQAgPl33YPu//ixCZIIgSqcaOxkC+3t2FUBgCh1QFarCgBeUgAwYFN7M5a4cNeI
AoDNZ3wJIwcf6fpmAOCIN8r4ALN9eJUgYoTNAIJsBpZ7h0w+3kc+qCkTz5d3M7oFMJZ+c6PlfD2bt6B8
u9L5n3rGGADt5oysvunqE9pAn9jo1rvMmYWzTnsPTjjuIHR1lF35gqzN4S0DgNQA8AvEb9yJghIrvejP
w+vIn5vbNvltmfldlFTvHfjTi0VceusonlqrC4V02MKaOgIwIklR+hLyppa+GvvgrHmQJ38SYwccgJo+
PlrLFzk26JWVXNBWpqaH9dghW8zPXddUCCBy27EA0KPjAESNfZsDAAV08/bcC8V2JS3VUmxYs9oxRc5w
gg3EAEA6YSSALRdMFQBQKkDP9y4zyUCTn3OfoNjWgfl77Y+C+hf1KtaveREVAwDB8htmbLf7SFGrAF/C
sAMAw7kj55EXBDRZvZtH9nl/Ib38KBvtZx/lcrWZj5bO4bN/ZIkgSjnh006I4Deaq1KkXX56g/cOD6Dj
7rvR/vvH0FZ1R04xcSV1hQdT43uPzQGq55z9YRx98G7oKlnxOk9yb60RAAyhsu5axBtvVwBQsZKNjN7c
mtbQIlfzI/IFWU3eetqBZ9d04fs3bcZTr7Wpa7rMfKVLr5OuBJkNZbbiVE39PbjbHsDJp2J8r30xYbIr
U1eMJV9idXIvQLN04CDmh/uy1zEfMhCqeOX+Jqw1VZ1lIwDo7zqrY0iu/xn6DAAkwYiZczXp07Tn7blI
McceyLoCgFcUAOjybizsyR96a/rWTGMCW86bSgBw768UAPwIUX0bAKAeUyy3Yf7eGgA6FQBMYP0rCgCG
rbjji1e49aGz24YdAIwc8k5XKTcLANm8A2wnAIQ4ervASTBQuY6Mq5HiE5AFADKYS/8HAwAnUWhLtc6b
6R0dQcc9v0Hbww+io1IFzNHPcVBXTF+uUJiIcchhb8dFF3wIBy2ajXIsnWS040jfPdWujRxWEsBiBwBj
5jMzDuYop6PTeHWqTDdkqOQuXMN5rdyUpCUFAiUlCYxj+asdqKFszZ6pO+ePcjjMMtpF1VmEQ7srovj4
WRhauNAAKfXbGHExiQ9EuKCnvIWenkMAIFi8hQGIEK0vOOcHtgkAItO/kgAUANQZAPjnewCwzQDAHnsh
JgBQanFlYKARAFgHBgC0BHDhRVMEAO5TAPDvGgCSyQdkAKCMBdoG4ABgnZIAqiODzijE6TQUjRoudqP/
rC8qCeCdjljeOgBQ87EBekNGVLUHgejhCLCpGMx2iWAAELkaf2oTd0yMo+uBB1C+TwFApeLOe7NiLZ2B
Y0Q6XcZb6YLvOvYQnH/eh7Bo1+loE9YRZuWb7RHrJ134hlfuVkIB6qgCgCWINt6BogIAoUTVVLgQRFfI
MnJgmbj0u9inWHIosOczZsbpat8ZW6Mo4E8vd+M7i4fxzPouJGrTx3TwpwhgGJJ5Uoyrz4f2PAAFJQmM
7rmHkgwE7xiTEn5uLzQT96nEGL/OD5sVFaFXu70AQICh/+lUKkDt+sttMpBkgQy5YUcGAPa2EkAtweva
LmZsAM3FMCM9KhVg63mfmjoAMO/e+xwANEZrs6U1EgABgHQqwMTwIHg6rZ+m+1NLAANnfgXDWgIAfB5A
LoYHPPGAW1p9hCF9kgEAQh272TN7wd1Goqd/Bv3DJADjZnRHAxvXtCb+ZAI9f3gExXvuRqcS6epKr49k
thChpCqlStf90EeOwflnfQALdulGSQifQ97kVMHtbhRKpP9Xq9YxNDyG/oEhDAwOY2xsDCNK1xxevwyF
yotoK9UwTWlmu/SmmN49ga72CkoYgUhrZESxc6e6dJkHRdYQ6MUahJV0RrgkbcdDz7fhO0u2Ys1An5pz
yfr8c0FCUgZ4rOpAoUVvQ3ra2RiZN4/FRdr+Bf8TOUwSzgqVpo07UuYAgH+Vxo3XZk1ZDgCssbuQiiAB
cACojqO65KfGCFiw1Vu8FBPwTq1koYi5CgCKbd2KJhIjAYwN9PvycXxtHGU4CUADwIWQf+HeCP3tIC9A
97//0JSf9m+xYc0TlNqsChCXlQSQ1BQArEZlsN/p4Fkojlz+trYBDJz1VYwcelSwijYAACliTeL4M5IF
Qrmwhu+cZwDZwzwirrM533zkSm+lggKNbEyCifhT+6dTvfDep59E8eZb0dW/FbrApAYAyKLbebENClLS
Qqkc48MfeS/OVsQ/d3ondI5e4a2+ENf0YZNvbOnHH1e8hCeffgEvrnwVWzYPYWKiqpa/jroChUQBlUlv
1ucKxCn62uoKBKrYY34Jh+4j8Lb5Y5imwKCAusIsnflSsDH6nKzSyJ++5ANmCIXZZRXZhpsequOypTX0
1/pclQg48OTNMRLV0URUQv8BR6Jw6qcwvMtsIy1ZAE4aBLOUdeMLi6bJn8clM2XF3PAz1kX3k1q9vpDE
4cwGDwC6HkAFFQUAfY//2gIAZYv6H+sqjgplzNVGwHK3emEWAEYHtjYAQABXlw143mnYcsFFUwQA7rwH
Pd//ka0/bwZJQBAWTXPecns75i7aR0kAXeb8pA0vWzegRNJIqG57jJa0BGABwLuF3gQAJovos92+CQDQ
pvJOiTR3ocuUdwCQEijo0lzqRn04x7Tnnkd00w3o27DeFQ2x6bTGhy0tB9Vg0d4R4+RT3oczTv8AZvS2
oawmVpD5dfjzW5KkeG3dRvzu4Sdw/8NPYvWa9ahWEls0RboNJS2B6LJrERVLcfUBRFI1oNXdVsPe8yfw
vncAx+yfYmbHkHrH9tBWgCr3UfRDlN2KGV+svV6L9v2VbvzgpjHc9kgJtbgDFPwbQqlJH6fKmwLjhXaM
Hno00pNOw+iMGcH0AJuKTM/hAJQPCpqs8bBreuPZ38WfDQD6P7os+MSSn6D38V8pAOBRpGGeJp4yVhLA
nvug1G4B4PVXXsKYZopsBjnWqIZTcyrAVJEA7tISwKW2IIgjUjr+yD5EGN2yraNDAcDezgagJqsBYHgA
cNVig+4N51tWAKAkgMGzv4qhQ47yxYN5Tf4/GwCElTasYSXHQkTaBABCNRqLxDIUdnTWfjMuHeijNm2v
kmriG25A95qXURCa+2gPe9EVt4ggnFOxqJT8004/Dp889QOY1dthdP44N9Tta9niFQODQ7jvt4/gljse
wJpXNyCpq3FFxXCGPWwRVC0aa+IXEengqQvDDRmDNiSihq62URyxaBwnHhPhoD0iBVSj0KWpjaVGWrE0
8pl8XA0A18e0IgIt3zy3rhf/fFU/Vmzs82cAGAmKFTI1q+7sDnrdhosdGDvqPYg/9gmM9Pa4rUVG5/yq
iW0DAFcbZPYDyewYvjhJUwCwEQ3NVAADABMOAJYFALDMKwsAwgFAWakAOiZ8/csvWTdgJu6Ez1ABsNQA
cAa2XjRVAECrAN/5gTkmKlhXszqZVBuprbMT8xfti6itXc1VA8Bq6wVgOhK5xyi2f7TUoQDgaxg8+J0g
3dmGwVpRPyTmhFp/2wSAzEfMRyyyiVoiStlmRDBAku9a2Og+rdZrN54u4jntdcXxF/8SPStXmBr+VlSO
TbCPjpLTkoDuqLunXRH/8Tj14+9GT2e7IigdD/jnEj+N3c5G095LL6/Fz665CQ8+/BRqNec+9G4vmjkj
DUFnELr11IlNJAUhGPnN8V5pBdN7BnDSu2J89PAUu3SNWyhLnfvUcN5tWSuEs6gnqMku3PSgwH/cOoGx
eqcJljIp5Lk7Ukd5ejxVNYiRUgn195yI9IQTMdLZbRO0mgIAkM8T4C1BUAus8c7NVmZrDhIzCIU+3EZw
R59ljIAy7CthzgWoYHzxTw0A6NwPClbj708DrYhLiib2sYFA2i728kqM6yPd3AD5XiZBQirwnVoAoANc
vvcjsxhUdomfumpHXTcSwLy99kNcVgCQ1LFh9WqMaQCQASGJvZMBbkQh/9A5X8OQ9gJ4AHCHOAuw4hwM
APIxKhkuL7YPAESaqZrrw8RdHII1/kX2M607b92Cwo1L0PnkMpRh4+OlEfuNoKiuL5jSXDNndOPc8z+C
Ez54uCL+AkrCxMiRie3PWHVLyHor1tXOWP7MClz64+vxx2fXGC5jiwuTYc3OmCQs2RAOS9+nRkrwtf8F
qwospElzbROD+OA7ajj/+A7sNm1UPadqrP/WLiYyZxj6cXoDPpnxBF7r78b//Hk/nljdrYiu3fDyKA53
GjDxp3HYu3SFH31ORP34E9XPhzHW3u7dt3YWEXtOFvm5mJ8izQEA01ZFFgDA3v82AYD3p/7WAFBZfBl6
FACU0rQhaEk6L4sBgL32NUZAJBoAXsT4wEDoj0U72nNWrATQf/5UAoDb7kDv9y8zWYB6oWmBwyHU1qWl
AWC+AoCo3OEAYJUCgH7Ahw8jA3laqB0pdmL4XAUA2gtAJ9IKVp0nagIAmRlKZLI1ophtDea1yAMHsgCQ
2S2RLWFlwEQp7dPVHOKlS9H2yO/RUa8rHVnH9xctYRhrdGzGPmuXXnz2olPw3uMORmdZEX+kOT+vT/Pn
AYAeWk1t9kee+CO+d+nVWL1qowLHEsiOTmG2kqOxoKQc10umlLYFBxYO5QAg9YCuVYeSHMYx+0zgkpM6
sOeMEefnFs5CLZmfPfHrGpLEbEd1BZPXPyRx6a0JhtNp/tp8MT/hzpynVGGdbjza3oux938Myfs+iEpH
ye+wyFUUskU9s6XpeaGPbcc5TVIwlH6VtEZZAOBbRP/dXncA8Nh9BgCsSktXwPk5UsQKAOY6ANAel3VK
AqgwAABYsRxXPt8CwJkOAN5a2zEAsPQOmwxEkYBkBPCF/uyEy+0KAPbe1wCArNWMCjDmAoGo+c1nrKYJ
RgqdGDnv6woAjvbEaBhwxGwAZKRvMCQ2/m2i0NgJOYKqtJg/mpT64oqAAwBdx88YcNQYuyYG0Hb37Sj9
7gG0VyagTyNKIk3WJfV70Rv8Fu4xC5+9+BQc88790V6MTVz/X6bz+9GYmnlP/fEF/K9vX441q18HEWE4
nI1sMpYwbaFUbosGE6ORBQo+NmFzXgnQDQamI3jXvhP4yie6sLBn2HoIvCJMwUvuM1/Mj0RE+6JWbe3E
P14xhKfXTXdGvOxzXTWFTK6FPWRJor9zBpKPfBL1dx+H8VLZfBbLKJwvKLORgNmswW2AbV5tyNgLkhAT
5o49j2Ve/Lf3tNfHMX7djxUA/BolV08y058gCaBsVIBSW49Rk9etfkEBwCDjg1zFiaYoACgJoE8BgDQV
beAg31qUaSb645IS2RbkAMAaAZsDgNZJRwodGD1fA8AxfxkA5F41DwQK38UNAEDB3lGOmOhcQf2cruoE
2u6/G+V770b76Jglfi326+xHQ/xlRaQRdlfE/5UvnYpjDt8bxYIw+X+Ft+DfN/NQfby0Zh3+5d9+hqee
etGXYQsbrPlC2KfygJ2QqdYkscHdSzJu6mP49cOK9SF85DCJL360EzPLg6aycebZrlhKULqYiV5dM67W
59I76rjmNwWbMORqyAk6KIWUXmenMGXhDQBF5njy/r6ZqH/0VNSOeg/GyiUUUiqc4uQjpupkuf42oiu3
IR5oKSK4Hu2xYXGO+Emd6KiNYUwBQK8GACHRWOefkgrKWKABQAcCKal4vQIAHQgUACDYeQgAUl0STKkA
/VMKAL7/E5PiG/TLnLFJ/Zg4gH2UClDqgKg7CWCw39aiEVmRzcxfyVKjsZIAzv87LwH4xXbE/mYA0NAm
AwDNL5gsRzaAzHXMyFhWCN/+hwdQvPsOdA0MWrdaZI19qa6gq3T+mhrdwj3m40tfPBVHH74XOgpWW7YY
8pcTv17VgaFhfPcHV+O2pY+4swGdIEwEJ+BDnqULiCJLC31vBDQuAZC60LCtvOmbHedlN2K3GMWn31/A
2e9O0FEatbn8/na+eVk30koT2vj34Mo2fPNnQ9hamwbvQiI226wcgc7+TGNbD1FdsKV3LuQnzsHY4Ucp
8C34+oGkImU7oGFlD+rMtsaoS64+bA8A6NZeHcfY4h+j77FfGcCnx/stRudEFkoKAJQKYIyAdUUTLyia
GPAH0Yr8GsKu+9ZPn6kAYIpEAs697Xb0fs+pAO60GMrfhtsspAIs2FcBQLHd1L+zALDVFezIEoStfacB
oMuqADoQSNIJ6ZMDALWMkYf1a7lIfkvYjZdGfCkSDzSU4JI632NHOoHyY79D4bab0NM/YE4hNkY/RfxJ
pHl7wSS1LFg0B1/5wuk45oh90BELFwQ8ubY/iT3b1hRQP/qYgJFEolpP8cB9v8Ol371KSVB0ZJbtgUpq
BcQiISxIMnoaunpwuVxGrL6sV2uoKPWlVtUiacFZ3zkQSN83lVTy8R5pHXO6RvCNs7twzF7jiNMqk6TC
9ZmdmgaJasNoN/6vnw3gyVd71BBL7jYKBMrsVPuOXGENOvS0lkbon7Mn0lPPxcTbDkY9ip3Hxj3fnxQS
QsJFKjEZ5cgGnZEZELm/39lHMgAApgJoALjuMgcALL2c22K0cbCgJIA990WpsweJoon1a1YaI2Dk1Tdn
x8nshwT9nz5r6kgAc5fehm4lAVBFoIatLGwkoDYC7rrP/hDFNqMuvK5TH5UEwK30wX1sRcExbQM492sY
VABAGmzs+hSC4XUujViyj7nwlUaTEKDIBIHBA4B7nuZWdUXE7WqDdy5/FPKmJZi+ZYM9FcYc2KhwPtbc
v2zOkZ+3xxx86Wun4dgj9kZXHKGURj7RrFkUO/kjIjpB19SRAUbVF6+NJ3hya4IVAxJrB2uovbEJa2+4
Av3Pr1QEXIA/HkxzaGbJ9JxKBylpC76ir7333h0HHXIA9t17IWbO7ENBEfzo6Chee+V1LFu2HE8/8yIG
R6qmmk+m9gDTrelP4dR5qdbkfQeM45un92Bme3+QsiQZ/wS7gb0h9V0FXfj2bQmue0AbGjvYpuf2FwQA
cEbJyBGgPoK8qtZ+0+77IFGSQHXfA5Q6EQXvhUwZKNqfKBGTAkCatYnmgCu3ZWQ4FYhXotfXNQBAkzeu
pS8NAPN1HEBnbwCAfhsHYBlQY0yDVDPsv+DsqQMAc269XQHAj206cAYAAhfRqFXWAKBeUFQsQ1YtAEyM
2FwAzmvMwDgAnKMA4B3HME0IPhCIGJ1guQDbAwBNViIXS265kH4BkbCHVsSYQO/TTyG6ZQm6Nq03IT7W
IGCDfQwAqH/n7abE/q+cjmOPWoTOgtTmQCu2bhcA2N9H1H9WjCS485UqHnhlAs8PxhioF01Yae8ff4v2
h5YoPXMC/CANSTEKmTdgKyctXDgPp37ieLzr3e/AdEX4pUJBpyB4S0Sq3t3I8AgeefSPuOrnt+H5la/Y
0bAyVpJx5aDbW6LsK23Ff/9kNz50UEWNYSKMgL9Yf7wOQHKNjDpww7I2/K/FQxhPu73k6HFMBPAgW4J0
FZm01ymGrR04Fsfo3+NA4JSzMbFobwujkiQX8hkFTp7fBX4uIqgOAmJyAHCeq8i55vIAoBPBxhdrI+Cv
HJQzCcENwoRuMQmgXtdGwJUmHTgm34YQ3gMT1ruGwQvPmTpGwDm33oFunQ6cJv64p/CmU7d2qQGABfvo
ikBtSCeqpvhBdXTYqg1MTTR3RjZNdKzQgREdCHTYMRbxkSN+9xgTD+DEvDcDgMlaNnqVysBazq01+t7n
FfHfcB26X3/NBCPZC7XoXzbuqUSL/Qvn4wtfOgPHHbUv2p3Bj2rBpYJIMvdc9qNrx7yqpOi71k5g8R8n
8MyWoiIM1YsSbbUo3zu0Fm33XY6+dc8Zq3detvRJNe65xUKM4487Chdc8HEs2nuBInr79Ig4cs4UmSgV
45k/rsK3v3sFnn12tTtxLBBu8Im4vAlpw28jjOGDb6vgv53ejd5yv5OM3FvysbnMSGjyCrRVvYhHXuvG
f/nZEDYqdSASgVDt7kmw227zUK8leGPDJthqSS5S0YQg272lDyMdVyrY4MK3I/rkuRjfdaF5H8ZtLMOq
ywZ+SlOzEJENEoqyq5MpOZR4r4T28cc8vkQBXefEBCrX/Ridj+tqSywUmFVbMnNVTGPBov1Q7Og2AGAC
gZQKELMx+hOs3BymJADoQCCRJH55va9ZEgDAxgHsvZ8CgHakuiLQmpcxMTqkLqk3DIsqdI5rCUADwOHH
2AMx3DLHvnYfHerB72eiaz4dGJMbC2lbWYnC5ieYw0TV790vP4fS9Vej+9WXDNexvEdvwKJWbpTOLxWS
z8eXv3wG3n30fuiMI1vFZztsfWSGG1Gv4mnF+n/+7DjuWimxoaK2jiiBgp40zEx/6WGUfnsleir9xu4A
lzlIfdjz+LQuL0zkyIc//B585avnYM6c6Rk7S9B2uEHMAkq1luIX1/8KV/78VvRv6jfGXTLkChmMUgTE
+qAKHZ8+f9oo/vmcHrxj1wETFi488QsW5us+s/K7CaZaNdSNv/vpAJ7f2GdSpmOQ77+O/d+2CF//+mcx
9sYQfvDtn+KVLVvN+QoRgY9LGtNMREsC4wqMhw94B/Cxs1DZdVdTjFX3aWJUWF7C5Ob+yeMAeCNCjkmb
MfWM3OHfajydlSoqi3+E7sfutUbAhhYAQEfHagBIMgDArmTSqclaV+A5cNE56L94qgDAUiUB6HTgJHGW
ZBctZ0Q1UgFgJAAd9VTQgUAOACojQyZKMD8s49ZyADB8zlcxdNixXuzKAkCz+nDbAQAI3IAs5TaGgfIJ
UlPLr6B+Ol5egejGxZiuC3nqeHaz6QrmbLzYAIDELnvMw9f+/ny86537o6y4LDf4vVnZbj0mpeLj9rVV
XPFMBcteL6CSlp20Emrsd9dH0f3Qtej802/QJis2ElFkZCGrbws7jYMO2hv/8M0vYeEec1xdwzCSbM4b
BaY4Lqh+vemOP+Dnv7gdmzduwdDWfrf7hD0CXgQAsKs2YQi6LCr46keLOPtddcRJzZaHd/kHGasQ+0Nb
8zdWO/FfrhzCo6t6zMCNp0QN8MAD98Lf/d0lOHj33VF7Zh2W/vxO/PSxB7ExqoXsQ0h/xLmWKnTClT6I
dGT/IxGd9CmMzV9gTzvKFG5MwwDyAL2NOADeKPqPzrUEAwBzOGhlAuPX/gg9j99nTkpobFbNMQCwhwKA
zm4lVHAAEJkhkdZCAGAkgM9MFQC47U50feeHanPUff1y8uVS00team/DPAMAXUCtanMBFAAI5N0yDgDU
/8aLHQYAht/xLlAoShYAqMWZevzbAoDwlNQxJBmuhXAlvXSgTxW961cDN/xSif8voGwO4LRBMcbVJy2Z