1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
|
%PDF-1.5
%����
1 0 obj
<</Metadata 2 0 R/OCProperties<</D<</ON[7 0 R 8 0 R 9 0 R]/Order 10 0 R/RBGroups[]>>/OCGs[7 0 R 8 0 R 9 0 R]>>/Pages 3 0 R/Type/Catalog>>
endobj
2 0 obj
<</Length 70922/Subtype/XML/Type/Metadata>>stream
<?xpacket begin="" id="W5M0MpCehiHzreSzNTczkc9d"?>
<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="Adobe XMP Core 5.6-c137 79.159768, 2016/08/11-13:24:42 ">
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
<rdf:Description rdf:about=""
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:xmp="http://ns.adobe.com/xap/1.0/"
xmlns:xmpGImg="http://ns.adobe.com/xap/1.0/g/img/"
xmlns:xmpMM="http://ns.adobe.com/xap/1.0/mm/"
xmlns:stRef="http://ns.adobe.com/xap/1.0/sType/ResourceRef#"
xmlns:stEvt="http://ns.adobe.com/xap/1.0/sType/ResourceEvent#"
xmlns:illustrator="http://ns.adobe.com/illustrator/1.0/"
xmlns:xmpTPg="http://ns.adobe.com/xap/1.0/t/pg/"
xmlns:stDim="http://ns.adobe.com/xap/1.0/sType/Dimensions#"
xmlns:stFnt="http://ns.adobe.com/xap/1.0/sType/Font#"
xmlns:xmpG="http://ns.adobe.com/xap/1.0/g/"
xmlns:pdf="http://ns.adobe.com/pdf/1.3/">
<dc:format>application/pdf</dc:format>
<dc:title>
<rdf:Alt>
<rdf:li xml:lang="x-default">oatmeal_multiplicative_idiocy</rdf:li>
</rdf:Alt>
</dc:title>
<xmp:MetadataDate>2018-01-07T13:02:46-08:00</xmp:MetadataDate>
<xmp:ModifyDate>2018-01-07T13:02:46-08:00</xmp:ModifyDate>
<xmp:CreateDate>2018-01-07T13:02:46-08:00</xmp:CreateDate>
<xmp:CreatorTool>Adobe Illustrator CC 2017 (Macintosh)</xmp:CreatorTool>
<xmp:Thumbnails>
<rdf:Alt>
<rdf:li rdf:parseType="Resource">
<xmpGImg:width>192</xmpGImg:width>
<xmpGImg:height>256</xmpGImg:height>
<xmpGImg:format>JPEG</xmpGImg:format>
<xmpGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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</xmpGImg:image>
</rdf:li>
</rdf:Alt>
</xmp:Thumbnails>
<xmpMM:InstanceID>uuid:d4f29a47-4943-c546-8d02-fe3c5abdb069</xmpMM:InstanceID>
<xmpMM:DocumentID>xmp.did:8fe760bb-2b85-4aec-b7c3-0fd5a6dacf84</xmpMM:DocumentID>
<xmpMM:OriginalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</xmpMM:OriginalDocumentID>
<xmpMM:RenditionClass>proof:pdf</xmpMM:RenditionClass>
<xmpMM:DerivedFrom rdf:parseType="Resource">
<stRef:instanceID>uuid:d6c231ca-96cd-514c-9bf1-78b24fbadc47</stRef:instanceID>
<stRef:documentID>xmp.did:df998605-d832-4abf-900c-c01f7bd60547</stRef:documentID>
<stRef:originalDocumentID>uuid:5D20892493BFDB11914A8590D31508C8</stRef:originalDocumentID>
<stRef:renditionClass>proof:pdf</stRef:renditionClass>
</xmpMM:DerivedFrom>
<xmpMM:History>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<stEvt:action>saved</stEvt:action>
<stEvt:instanceID>xmp.iid:5c378eb2-dc52-4212-a36b-ddac460f3597</stEvt:instanceID>
<stEvt:when>2018-01-03T12:22:37-05:00</stEvt:when>
<stEvt:softwareAgent>Adobe Illustrator CC 2017 (Macintosh)</stEvt:softwareAgent>
<stEvt:changed>/</stEvt:changed>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<stEvt:action>saved</stEvt:action>
<stEvt:instanceID>xmp.iid:8fe760bb-2b85-4aec-b7c3-0fd5a6dacf84</stEvt:instanceID>
<stEvt:when>2018-01-07T13:02:43-08:00</stEvt:when>
<stEvt:softwareAgent>Adobe Illustrator CC 2017 (Macintosh)</stEvt:softwareAgent>
<stEvt:changed>/</stEvt:changed>
</rdf:li>
</rdf:Seq>
</xmpMM:History>
<illustrator:StartupProfile>Print</illustrator:StartupProfile>
<xmpTPg:HasVisibleOverprint>False</xmpTPg:HasVisibleOverprint>
<xmpTPg:HasVisibleTransparency>True</xmpTPg:HasVisibleTransparency>
<xmpTPg:NPages>1</xmpTPg:NPages>
<xmpTPg:MaxPageSize rdf:parseType="Resource">
<stDim:w>612.000000</stDim:w>
<stDim:h>792.000000</stDim:h>
<stDim:unit>Points</stDim:unit>
</xmpTPg:MaxPageSize>
<xmpTPg:Fonts>
<rdf:Bag>
<rdf:li rdf:parseType="Resource">
<stFnt:fontName>Helvetica</stFnt:fontName>
<stFnt:fontFamily>Helvetica</stFnt:fontFamily>
<stFnt:fontFace>Regular</stFnt:fontFace>
<stFnt:fontType>TrueType</stFnt:fontType>
<stFnt:versionString>10.0d4e1</stFnt:versionString>
<stFnt:composite>False</stFnt:composite>
<stFnt:fontFileName>Helvetica.dfont</stFnt:fontFileName>
</rdf:li>
</rdf:Bag>
</xmpTPg:Fonts>
<xmpTPg:PlateNames>
<rdf:Seq>
<rdf:li>Cyan</rdf:li>
<rdf:li>Magenta</rdf:li>
<rdf:li>Yellow</rdf:li>
<rdf:li>Black</rdf:li>
</rdf:Seq>
</xmpTPg:PlateNames>
<xmpTPg:SwatchGroups>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Default Swatch Group</xmpG:groupName>
<xmpG:groupType>0</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>White</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>Black</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>69.531250</xmpG:cyan>
<xmpG:magenta>67.187500</xmpG:magenta>
<xmpG:yellow>63.671875</xmpG:yellow>
<xmpG:black>73.828125</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Red</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.781250</xmpG:cyan>
<xmpG:magenta>98.828125</xmpG:magenta>
<xmpG:yellow>96.875000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Yellow</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>3.906250</xmpG:cyan>
<xmpG:magenta>0.000000</xmpG:magenta>
<xmpG:yellow>93.750000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Green</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>82.812500</xmpG:cyan>
<xmpG:magenta>7.031250</xmpG:magenta>
<xmpG:yellow>95.312500</xmpG:yellow>
<xmpG:black>0.390625</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Cyan</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>69.531250</xmpG:cyan>
<xmpG:magenta>14.453125</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Blue</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>99.218750</xmpG:cyan>
<xmpG:magenta>96.093750</xmpG:magenta>
<xmpG:yellow>3.906250</xmpG:yellow>
<xmpG:black>0.390625</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>CMYK Magenta</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>1.171875</xmpG:cyan>
<xmpG:magenta>98.828125</xmpG:magenta>
<xmpG:yellow>1.171875</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=15 M=100 Y=90 K=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>17.968750</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>90.625000</xmpG:yellow>
<xmpG:black>7.812500</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=90 Y=85 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>89.843750</xmpG:magenta>
<xmpG:yellow>84.765625</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=80 Y=95 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.000000</xmpG:cyan>
<xmpG:magenta>79.687500</xmpG:magenta>
<xmpG:yellow>94.140625</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=50 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.390625</xmpG:cyan>
<xmpG:magenta>50.390625</xmpG:magenta>
<xmpG:yellow>98.828125</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=35 Y=85 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.390625</xmpG:cyan>
<xmpG:magenta>35.156250</xmpG:magenta>
<xmpG:yellow>83.984375</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=5 M=0 Y=90 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>5.468750</xmpG:cyan>
<xmpG:magenta>0.390625</xmpG:magenta>
<xmpG:yellow>90.625000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=20 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>19.921875</xmpG:cyan>
<xmpG:magenta>0.390625</xmpG:magenta>
<xmpG:yellow>98.437500</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>50.390625</xmpG:cyan>
<xmpG:magenta>0.390625</xmpG:magenta>
<xmpG:yellow>99.218750</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>75.390625</xmpG:cyan>
<xmpG:magenta>0.390625</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 Y=100 K=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>85.937500</xmpG:cyan>
<xmpG:magenta>16.796875</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>3.515625</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=90 M=30 Y=95 K=30</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>89.843750</xmpG:cyan>
<xmpG:magenta>33.203125</xmpG:magenta>
<xmpG:yellow>97.265625</xmpG:yellow>
<xmpG:black>25.781250</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=0 Y=75 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>75.390625</xmpG:cyan>
<xmpG:magenta>0.390625</xmpG:magenta>
<xmpG:yellow>74.609375</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=80 M=10 Y=45 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>78.906250</xmpG:cyan>
<xmpG:magenta>10.937500</xmpG:magenta>
<xmpG:yellow>45.312500</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=70 M=15 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>70.312500</xmpG:cyan>
<xmpG:magenta>16.015625</xmpG:magenta>
<xmpG:yellow>0.000000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=50 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>84.765625</xmpG:cyan>
<xmpG:magenta>49.609375</xmpG:magenta>
<xmpG:yellow>0.390625</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=95 Y=5 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>99.218750</xmpG:cyan>
<xmpG:magenta>92.968750</xmpG:magenta>
<xmpG:yellow>6.640625</xmpG:yellow>
<xmpG:black>0.390625</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=100 Y=25 K=25</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>100.000000</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>30.468750</xmpG:yellow>
<xmpG:black>21.875000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=75 M=100 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>75.000000</xmpG:cyan>
<xmpG:magenta>98.046875</xmpG:magenta>
<xmpG:yellow>1.562500</xmpG:yellow>
<xmpG:black>0.390625</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=100 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>51.171875</xmpG:cyan>
<xmpG:magenta>99.218750</xmpG:magenta>
<xmpG:yellow>1.953125</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=100 Y=35 K=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>35.937500</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>35.156250</xmpG:yellow>
<xmpG:black>8.984375</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=10 M=100 Y=50 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>9.765625</xmpG:cyan>
<xmpG:magenta>100.000000</xmpG:magenta>
<xmpG:yellow>48.046875</xmpG:yellow>
<xmpG:black>0.390625</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=95 Y=20 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.781250</xmpG:cyan>
<xmpG:magenta>94.531250</xmpG:magenta>
<xmpG:yellow>19.921875</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=25 Y=40 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>25.390625</xmpG:cyan>
<xmpG:magenta>25.000000</xmpG:magenta>
<xmpG:yellow>40.234375</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=45 Y=50 K=5</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>39.453125</xmpG:cyan>
<xmpG:magenta>44.531250</xmpG:magenta>
<xmpG:yellow>48.828125</xmpG:yellow>
<xmpG:black>6.250000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=50 Y=60 K=25</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>51.562500</xmpG:cyan>
<xmpG:magenta>51.171875</xmpG:magenta>
<xmpG:yellow>60.937500</xmpG:yellow>
<xmpG:black>23.046875</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=55 M=60 Y=65 K=40</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>54.296875</xmpG:cyan>
<xmpG:magenta>60.156250</xmpG:magenta>
<xmpG:yellow>64.453125</xmpG:yellow>
<xmpG:black>39.453125</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=25 M=40 Y=65 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>23.437500</xmpG:cyan>
<xmpG:magenta>39.453125</xmpG:magenta>
<xmpG:yellow>63.671875</xmpG:yellow>
<xmpG:black>1.562500</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=30 M=50 Y=75 K=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>30.468750</xmpG:cyan>
<xmpG:magenta>49.218750</xmpG:magenta>
<xmpG:yellow>75.390625</xmpG:yellow>
<xmpG:black>9.765625</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=35 M=60 Y=80 K=25</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>35.937500</xmpG:cyan>
<xmpG:magenta>60.156250</xmpG:magenta>
<xmpG:yellow>80.468750</xmpG:yellow>
<xmpG:black>24.218750</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=65 Y=90 K=35</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>39.062500</xmpG:cyan>
<xmpG:magenta>64.062500</xmpG:magenta>
<xmpG:yellow>89.062500</xmpG:yellow>
<xmpG:black>35.546875</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=40 M=70 Y=100 K=50</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>41.406250</xmpG:cyan>
<xmpG:magenta>69.921875</xmpG:magenta>
<xmpG:yellow>96.484375</xmpG:yellow>
<xmpG:black>48.828125</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=50 M=70 Y=80 K=70</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>51.953125</xmpG:cyan>
<xmpG:magenta>69.921875</xmpG:magenta>
<xmpG:yellow>78.906250</xmpG:yellow>
<xmpG:black>69.531250</xmpG:black>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Grays</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=100</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>69.531250</xmpG:cyan>
<xmpG:magenta>67.187500</xmpG:magenta>
<xmpG:yellow>63.671875</xmpG:yellow>
<xmpG:black>73.828125</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=90</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>67.578125</xmpG:cyan>
<xmpG:magenta>60.937500</xmpG:magenta>
<xmpG:yellow>58.593750</xmpG:yellow>
<xmpG:black>46.093750</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=80</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>63.671875</xmpG:cyan>
<xmpG:magenta>55.468750</xmpG:magenta>
<xmpG:yellow>52.343750</xmpG:yellow>
<xmpG:black>27.343750</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=70</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>57.812500</xmpG:cyan>
<xmpG:magenta>48.828125</xmpG:magenta>
<xmpG:yellow>46.875000</xmpG:yellow>
<xmpG:black>15.234375</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=60</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>51.953125</xmpG:cyan>
<xmpG:magenta>42.968750</xmpG:magenta>
<xmpG:yellow>41.015625</xmpG:yellow>
<xmpG:black>6.640625</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=50</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>45.312500</xmpG:cyan>
<xmpG:magenta>36.328125</xmpG:magenta>
<xmpG:yellow>35.156250</xmpG:yellow>
<xmpG:black>1.562500</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=40</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>36.328125</xmpG:cyan>
<xmpG:magenta>28.515625</xmpG:magenta>
<xmpG:yellow>27.343750</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=30</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>26.953125</xmpG:cyan>
<xmpG:magenta>20.312500</xmpG:magenta>
<xmpG:yellow>19.921875</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=20</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>17.578125</xmpG:cyan>
<xmpG:magenta>12.500000</xmpG:magenta>
<xmpG:yellow>12.500000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=10</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>8.593750</xmpG:cyan>
<xmpG:magenta>5.859375</xmpG:magenta>
<xmpG:yellow>5.859375</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=0 Y=0 K=5</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>3.906250</xmpG:cyan>
<xmpG:magenta>2.734375</xmpG:magenta>
<xmpG:yellow>2.343750</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:groupName>Brights</xmpG:groupName>
<xmpG:groupType>1</xmpG:groupType>
<xmpG:Colorants>
<rdf:Seq>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=100 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.781250</xmpG:cyan>
<xmpG:magenta>98.828125</xmpG:magenta>
<xmpG:yellow>96.875000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=75 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>0.781250</xmpG:cyan>
<xmpG:magenta>74.218750</xmpG:magenta>
<xmpG:yellow>98.828125</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=0 M=10 Y=95 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>1.562500</xmpG:cyan>
<xmpG:magenta>9.375000</xmpG:magenta>
<xmpG:yellow>96.875000</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=85 M=10 Y=100 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>83.593750</xmpG:cyan>
<xmpG:magenta>9.375000</xmpG:magenta>
<xmpG:yellow>100.000000</xmpG:yellow>
<xmpG:black>0.781250</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=100 M=90 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>99.218750</xmpG:cyan>
<xmpG:magenta>87.109375</xmpG:magenta>
<xmpG:yellow>3.515625</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
<rdf:li rdf:parseType="Resource">
<xmpG:swatchName>C=60 M=90 Y=0 K=0</xmpG:swatchName>
<xmpG:mode>CMYK</xmpG:mode>
<xmpG:type>PROCESS</xmpG:type>
<xmpG:cyan>58.984375</xmpG:cyan>
<xmpG:magenta>89.453125</xmpG:magenta>
<xmpG:yellow>0.781250</xmpG:yellow>
<xmpG:black>0.000000</xmpG:black>
</rdf:li>
</rdf:Seq>
</xmpG:Colorants>
</rdf:li>
</rdf:Seq>
</xmpTPg:SwatchGroups>
<pdf:Producer>Adobe PDF library 15.00</pdf:Producer>
</rdf:Description>
</rdf:RDF>
</x:xmpmeta>
<?xpacket end="w"?>
endstream
endobj
3 0 obj
<</Count 1/Kids[11 0 R]/Type/Pages>>
endobj
11 0 obj
<</ArtBox[30.742 14.3157 604.634 777.763]/BleedBox[0.0 0.0 614.0 794.0]/Contents 12 0 R/Group 13 0 R/MediaBox[0.0 0.0 614.0 794.0]/Parent 3 0 R/Resources<</ExtGState<</GS0 14 0 R/GS1 15 0 R/GS2 16 0 R/GS3 17 0 R/GS4 18 0 R/GS5 19 0 R/GS6 20 0 R>>/Font<</C2_0 6 0 R/TT0 5 0 R>>/ProcSet[/PDF/Text]/Properties<</MC0 7 0 R/MC1 8 0 R/MC2 9 0 R>>/Shading<</Sh0 21 0 R>>/XObject<</Fm0 22 0 R/Fm1 23 0 R/Fm10 24 0 R/Fm11 25 0 R/Fm12 26 0 R/Fm13 27 0 R/Fm14 28 0 R/Fm15 29 0 R/Fm16 30 0 R/Fm17 31 0 R/Fm18 32 0 R/Fm19 33 0 R/Fm2 34 0 R/Fm20 35 0 R/Fm21 36 0 R/Fm22 37 0 R/Fm3 38 0 R/Fm4 39 0 R/Fm5 40 0 R/Fm6 41 0 R/Fm7 42 0 R/Fm8 43 0 R/Fm9 44 0 R>>>>/Thumb 45 0 R/TrimBox[1.0 1.0 613.0 793.0]/Type/Page>>
endobj
12 0 obj
<</Filter/FlateDecode/Length 78736>>stream
H�|��n�E�
�rI.X��w.=��1����ɦ���PM �{�ْ8�EhVTEF�+o�<���p�ӫ5���U���?���W�m��F�r8���v�k�����YÛ|��������z�����6�����b�.-װ.��o�����;-2-:��X�������Z������V���j!��Ės��ۜ\��}�����)�t��px�}w��������:��)�*\?>\v����q�n�=���,����3[b�x�����i�K'O|
�}��n?^��2�y�?������7g�v�2~w�N���-����\���ݻ�?����.��l�l_���Xy��A��?���v��i��ﯷ������:<<��w�$�����b������k��㩵�������������_����%���X�Qv�v7��/)��^mﯞN[ZZ8Y<�UT���Q��ϚJ��*K�6F*c�!洬�*�r]�5u�/����c���7�PO>b:�
�/��MWw}�w��<ËDNƒZ�W�i��ն$��ڜ%Ó"ug�E5���Z�a)�����ٖu�@X�gi]rdq_:=}f���/6i7:�po�ھ� /�67:/�©x(c��+�y4�+�&�'bl��yX������=�0I�7]ý��&�!/�
�P��Y! �\���%����t���6�$�+`��b_�\��P�Li�ȱF*h$vNZ��%z����Q�Z�W=���ֵK��\1kbӷ8WP���/�͐ѐ��.*0[�Yu���E����Ocz�|(�W- �u�L,�Љ��9��|m&)����TՎ�� �)WC�P�7Ϝ�(�}%��GJ�u��z�-�����j
��M��
;-�VI������X�,��5�_ Pi����e���!��l�.MU�j�rq��v�iF��ʌl]J+.sn��Z���J [��w�okv3�Qb+ ��=�5y����>�i�(��j�I��>X�=����-O���G��l�s,#qZo�C��h��/̵Z� ���bQ�+��M�
�,��^���((;2Cc��8�������p:s�B��U y�E��ji����P�_�����/)Ш���PԲ�
�����\�1�F� �ŬD��q��G�ȗ����i���Pq�K+X_�eM�E��@K)/l2���+|�w�0Eh�lf�:5&���9�`/������N0�=i��ݬ�Ns<l$f(g��AXР�Y��A��%C�LvloK�{�S�
�Ζ�_R���1���e�������Z^R��.*@��%���}�H`�L�u��C$��E�QC�&�x�}�R=�l��}�$�ѝ��u�3��JM��l�r*�)�=���S�TV�"��Ȗ�4V�[)��M���g����`hG�="b���ɨɑ`):��\e��̈́/4�pD�:�#��<%�ZE�VB��1Y]5�HH�XC�%�h�D�r�2���c�+IJ�[�𓄒�����RJ\��2:�J���S���trs��k�N��cFc#
��D�rʼ�I�$z��@HjSҮ�IŢ2_���S T CP?
~�Q�q�ռ.�G�j=$��p�ׅ��q�F��}-'m��K�i)�:h��R_�cuIr����Jմ��]���8t�hE���3Е8�fz�I���O��H���9���t�nUf*��MA��lR\aMʐV��A�Ew;�l�RŻ� j�㮻�@r�����i�4�����{ץ/4Z�̷U&������<djM>4�%�X���C��7(�D*Z�b���0z�-s�9PMßza�HQ@�Z�>]{��S���onޜ�E�&�n>�)��qu=�P��FNN�8�/H�-c��u�z���I���g�q��?̭*�Sя�ms��UE�D���
"�q�|U�M��*�� ?(<�ܝ�)���G��egl)
NN*��B�4'�:�YYE���#��L���m8�%8�4I�<~�M'��!�U`���L�?�<~��B|3k�5��DtQ���݆���]�8m�%�䗠��*yF���:�H:?�t��P��i?L�/����:9��8�S3;��(@����D� ��2�61;�N��2��')KY��-�+`U���$�5r���Uo��S���Ǝq��9K��w�u��$�*�G�ZFQ��A��RY�L&�.m��t��:��A6�k�A�o�&� �f,&�fl��FRV��I�#���9|T29�Ʉ@�W���������9��Wd���٭��EM�J�k��`��\�E�5�K��.>�O�; �ჹ��ѯ��7�ԥQ�R�rM�i�2^��Nt�`�4�� J���e@܆J�n�ć���܌xSUyV�q���:���g�<�؎見n��慏о^X�qӡ������c�75g����(nN�F4ˑҡ!�H�
k��wW�.*���� ?�ULl���*[��x�z����e��Z܉f��5M� �)q+��,6 b��+�_Sӄ(�9��� �{.<���'����]&�uW��W���B�]�
�E�B �Ţ!%�dk����[�H D6�����w8z�������A�Ru�q*Kd�0U%�Pc)n�4���M�����9��i�����m[���������#�G[�u���F�t�Y�H�ҘF�"��.�WK�E�EQr`A�����Mdz9ط��t�CxO��n۞�+4�Q"9y��M�[����+�
�X!^⅂%��~�y}�k�p�T�O�ꕧ/ZZ��u71j��tb�pJ��U��g��p��j�b���U�(I+�y��Xm `J�^1J�iӝ~��H4�-�Ԍ�y�Q�j:7E��"+�l�;Rh���ȣ& � ^�+u�Oh�n1Nj�h�'*w2de�P��g��jpLOXʔ�:�t��G��͇�h��+�'��P����J���*����VL�V�|��T����ޢ���K4��m��N�������� ���jn�����'�b2���LG��J����l
n/G��-�Q�
��w��dDe�ZȽ[Ge��[�uy&�4���jç�eA!OƯ2��7��y�G�[�Z��d!�z'(�v��X&�ٍE�$$L�F��X ��~l Z*����V��lNV#
�Vv6^�[�)l+ࠂ��6�<It��D�2w
��2�C�l�VU����JU���PL�&�}���+bf����jJ�@�sd��H5Я;����v�C|����!���S�H������-�ݪ�&c� �ՙjЙz�-��Ҵ%ޕ��,�a�U���TuH�-z�Dž��!Ȍ �t_�^i�՜�d��~��*1���f�jlʻ���]���U��
|���Z��w�A���yKF}�s�u��uZ����FXV�D!�d{z,�F)�.D �VW?{X[k�E��ir��Jd��q%^��!��p�,<
��ws��em����P�-9�|�����hF�F���������a�<�i��k4r�_7Pл�D�|Ҳ��v��!�&�w&|Շ��:ňFP`htE���j��È"k�+-n�nݍN�P��'vM��s��ڇ歽J���]�Q���ĭ��L%�� {l�_0 (��w��`ޛ����CNX�G��A���o.q�d�X�n�����Ǜ�����}��U{��L�4�f/L��>-X\ cUba~md�����ߎ���v�z i�n6c˛��&@�N�9�HjI����Vk'_쩄�_!n� s�����;.6�#��ϡU�L�/$\�?�k-Ꮼ&G���я彏�}Z{]��"�R�� P�9�l��Y�3:��{�^3�����%��o����ac������$E)�5N���!�@a�3]��=��e���F��ߙ��RT#�
=cmk�tCFa�V=�1��h6[�8�j:���_�Z�e��j��7|V�Qd�駞���X���ƅݿ�zohv����r�����^������������˻/�������W�����O��>_^�~����击�����_n~zq�C�_^|�py����ۯo?������������뗇n|�}�������w?>���ݛ�?�������{�W����w=Fù_����柗�7(�z��&������N�ח'-�gC�hn˲w�v�m��:119�3�������3�~����!��j<<�4�Ђ��~Y�Ǿ^�v^P�_?��b�3���u�3ܯ�&��8��ǁc�����?� ��"'jjL�6��SX"�$tn�]q@E��[a���0`0H��c�T��"'�
�&�5���B�@�༹��n��������:4���h{�ňpE�b�Ǫ�?A'��iRx�Ѱ���z'�lmm=)�i�� }�0?1��VNT�o2� �,k�BAD���U���wM>�iU$ ���6�d���E��ۂЋn�bgv�T�
�+r�Nܭ�+8}����ys?�����������\U�Rk6��Ш���md�m�-���A��F���r�с��j�Hg���_Ha��}+Ĭh���D
�ĵ����P�ъٙ���iA�HQFS�s��"�tV��3��fp�X��X9[�P��B�$�g����z!*��D����m���~����0�/H1��Q���|:&��,muxا����v6�!�/nԢxTK�a&�PcH,�\��N���U�T�.��tS�ԏ1��D��h l���D���q�>�l'>�\���6Po�$GE�oٱij~t\wߡ��������\I����poN���A���ge�_c�L��.���(��9����}���왉��c�����g>'m���b�Ժ���T�v�'D��n`I������HY�;h�&P��ƞT��j�3I� ҚkJ�*3�4�a|���s��6�5r��mb�;/� '�ݒ�
g{�/����e�����,���ב�Q�-�N��,J'�h[l����H�vU��
w�3V%F3����0��#�ݎ�#�@_� �ח~]7i�
K}�k�
m�ð�������Z#�-���_P��(��0��j�ۄ?:��V6�Gv�.C�&�$7��<��|��(��ĕ�Gq��T��!�b��^9
�*CԂ��鰪�<� �:��|%���3ʾ��R�8���;X��gQ�;QtV�{���Fˣ4����z0{]�#u�>�[�G�L�0�ύђM =�YI�zp��4;���Y�����kF
!��!L����}MZ
ݫatD(M� ���U�XNr��3��fӱF>VSREi�`�F&�@��PO<[�tP5Ubҁ�/�n-W�FZ9���}��K[��iy���ù́{�kF�+)�Y(�l��l��2Ꭶ+�� 7��5PT��Tb8}�#�1��H�uEIâ�{��(|���/��ʎ#�ι��6��ۂ52<4<�aPk��
�^q"뱛D��B�X�֭OfdD���u�C�65����W�1<l�p=����*���Q��-L%J��Qyf���Y�{���hq<���A���Rb����5
��'G� ��=�$;� 5��5��1T:0; ������ �B���8O ��A�G���GGАU]��
���Z��6, pPW:4l��6��>��|
���A�r�c��NBL�;}S��v�~��8f����(���Q'g�Gr��cF��=yQ�W��y˷L|�cQxN�b>
��jף�u���룭����6����CyE�.qB�J�E�ҥ7�8<,�����a�g��5�$�V�$��f^9��[��`�p��t�v�n ��f
�+������s��H*���n8]���nc[Y)���\�L`[*��9�y��~S�p ����0��C�G3�G�3bw݅�vV=Vs��:�w��2��d����C�hy�g�1�z���X�܇�S�%Z�������j�QJ\�.�V�����*����������w������
ݖ��G��VS��,�
t��:�n �^�Õ�2��^�! ݉����]J2)�����f���1C�B!-9dS�#i�+q�3eo��Jh��3dkA��%9Z*tHE_�yZ�0>SCP`A��j�j!�QN���ΖԊ՜^(� �n��OQcu���j5S�۟ץː��4���WQ%�m���MVQE��� �\�P
�v�r6�.A|��[���z�i
B�ģ}֮���ʹ�8~�IUd�������fݍ��f�Q�)Rcy�[�[�&��
��I�ea*_J�vd�-������$�i_�*����9H�����3�����}H=p}k|����>�2�d�m���܆��f���=:']Y7���`�9=!�x��u���]ְ_�F�Ųe<���FF�!�z�L��4��͔N7CV���H�:j��_=q��t�<�t�����{f�NI��2��� ̰�A����W̱N�Kl#LC���v�@�SJι�� AA����].˅+�>f���]��Ը|�$7<ý
^z��ph�,�L�J�Q����qT5�q}}�Y^p��� X��7�N�/����`����NZ�q}�^Uе��/$_�R��*��U�Vjf����vX�_�]'{�c�Xuܢ|2���������zit��ee�\��Tl� AE�A���,J��6��U,(]�JP��6�RD�u����v�}1�j�a�W����_/}��Q=���1��~{��o/J-BA~G5��f��<<����Y����m�#���nC��P��)�ob��"T��_�I�I
��*�gU�
�r�$�R�J���k�+��4;���҉79����Wj�@A�J�>�r����h�F"�{��q��[�?�Cd�Gs��d�f��lIE��w�Y���/�O�뵆��x�Y�T�t�VQ'i�^��=�Lى0���r5[���V�n*ho����ֶ�io~����K^ĕ��űc�}���`���<�y���z�[���R���n8��4�U"?��T����y�����ǟ������}�K ��c�%bV�����H4��K�I��ݐ�fQX�����o1|�p�j��?w�\ڷ�[��aϣ��[���Ȍ|��_? M�S�!�:�ww�|SLǐ
]���[���^hb5i�B��;չ�#Ɓ�JjL
|��g��C�j�زU��8�e����9��KCkg�H�`�-�î�l��J��=�}g�D/�[ʛ��4Ԣ�<5z��<�#��l�O�o}�w�U��(�$/"A��N���^�_�,�H?89I_W��Z�Ln) �4]�9�i3��C�>��r��杷2ж~���}�k���ON�ER����R���lz2�xQ���[s+� ��rN�I��O}���P�#rĆgw���t����4�/����@^�:be��Q^_��F
�k�y��w�-�������Q0Xݥ��__Z����ol&�E�vJ=��!t���hS��wT-����n*>:8V�ˁ�U�Pҍ NQ���?d I?����{��6Gc5�?3pL�������ӹK�}4[�fdje�%R�I��S䠻��ݯN6<wygU�F��&��ͬ��.�7��h�߮Ӟ"��^�n�|�t١f!j8[M % �Y�����lϯOs��x�&Mu�V Q`c�s��t���:dڂV� ��G���:�$ f"������ѷe$�]�y��V����NzRI����g�6�:�n���h
��^��� �R�����ϙ�� B�cè,�t&�8���([ M2?u�U������]���e�����
��,�yk)kɣ��M��Sh�z��p��q&�8>���3��Q���[ZK�n�j'���]�>w-�72��7�3Z����-�L��w:d�fn���ȕ--���˻� %���Qg��>��K��������\��]�b�%�Z��"X>!�!���},=J�y����Nu��j�}~��r�hg����4��Jo��n����β#l}P���G�Q�*�z��#l����U���[���Ɨz�}��;�<4 55�)�#�%�'��]���(%:dajAQo� ��a��es��u���[�lv*u����+K0f^�|�3�N�F�^��-�R
� ���4-��>�] ��ܩ�je�
P�M1�6b�O:;0vK������҆����θ��jOsM�-c7�0&��b�5+|�XDJ!Ӈ��Eq�V�d��y��Z����cd��زt
��W[@���Č�\嚭*e,S2y�pD �x�����C��"�=���P��&�Q�H:nw(x���e��+�!�B
4�k���E��̫�&H�&@����,5�#
��Z�6 ���K��4�~��_:��S y�n婬<�C���j�Zkt�ʃm*f��n%k�m������AG��4�,+�`��#����=�w�G��/91OnvD� ȕ92R3*K:�c�Y���g���mݢ��A��ȭ�<yu��[��WkD��KT��̬B���f�5�?���UľV{Ǻ5�L�ym'ȾV ���do�6?��Ѳ��N�;�����-���Peq(#耋ÈdE' �D��y��*nE�([�+K�DDM���D��W��3
ZՇ�J��R�/��ղZFr��J�v�6Q�zR9�v�w`mZa�_fJ}�%��5h�����X�6��n�����a�`�R> [`f],���q�dd��'�6�X'���>Y��k���UbT5���S�:���|Y�)�qc\8�N���HZ�s!��5ݟ_�
�Գ�ns��E�����xrm�tk�������e�Z��y4*I#�n�`��z=�-��eHݜ�r�]x�5��u{D���Cv�|;�lj�OV�\"�
���p�7��D����<y=4���FZ/�;�����E�����h͑U�ʥ�i�^�j�˓WU�4�ѧ3�z����� ECF�=H��C+����K�������N�����)�z�{}LQ3�mF���P�] V<�j��5f�XdG�k�`��(s�j�I�<�%���"�oR�Yc W���8�c��_��
���4h|��ݦ̎mr���' ��p��͔M�f���T�Q&@i�|5�|k�(
P��YA���)�{W�
~��db�=�/�$
isW�_����3%�>-���@�t�����-� `ڛ[�Z.��z݁����a!:�bs�x��<�V��k���v�/(H��¥-?�PK�$��<zD��k_��F���A�?f�f��@j&y�h�mk13�zؗ����%���wi4ջzuM�>Z�ل�`���*"q�ޮ�Ŝ݇�vdb1�'���&���I`W���\79��6 5CM�˞i iQ�~ �u�`���^�A��#V1/a��R���U��G��pR�T� )��HB���=��!� �Z�fs
� -me�4�XB�Y��cA ��.���G�-�_�5%�.��3�!?,��o�iQz���
��� ��8
��<X�k&lk>���b�ҝǩ��/Zq��:<�Z�����.��j�Ld��s��DCC��GZ"5�yY�#�M���8�]wD�C(�Q.��6�`�@PQ4�� ���y�5$�<�<�M�pQ�5�� �堢�X�
��J�knԂf��b#j�z`ըM�����u��ڹ�
�隴���@�i��K�(]���ys6�L3��2�*ݍ����zA���h(6@�pŷ��2u�{�Yu&�?7s��S;�E%�K�c0^ ��A�j�]������B�j��Y�mJڞ��&�������
ckA�GZ&jՋ�������������ޫW��]��0�ۍ@���_�r|BƇ�ɷV��L�u/�nY�X;�CQ��I}_V��$���U������h|%�4���h 9�$�����kf�2�}�����ŋ�Aa�����$�6���[qj�@L�R9��m
pt��so\�(~��Hi�W��K��Zپ[�7��[G�*�����wj!��#hQYJ�N�Ϧ�]Ʌ;�"��e���S1co���o�ş�M�
/�6��|����^P�ਆ���c��R�/2�x���F�VuwsQd9 ��V�c�U�N
XNT-���[U����g*�Lv�}��N�ڗ�c�e�_o:�r�U4*����*A�.T����)���ǫ4oj�mS��9º�Go/jpC �#��St#�V�^����O�Ov��ӥQt������9�ך���n45���!�ԁK ˧Ta�v
�w�ƻWϮ>9�:ҫs�%�g^>�Pe@
��94Sh5x1����r�HKY�oWJf��t/[��������Gv���M��8l���hx}�t�)�~OC�� �1�������s�������lU\x|D��� C���Fn���X�Į~���>:��Z>T�_eQ�����i�=�uRޒUyv�[#���oߙ���H�cǝ������9�(�� p�ˆR���NsA�U�E�v�,�!V3:�эR{�qk���b����_�S �G��w��C ����82j�����^�?AoӜe�b�/~�F���7#�s����Y��LEL� �yM��W�PhH$0����ޏ�<p��Ż�γhN��JfH����e�j1F�����օ�Ⱦ
茋���{�h`���^���v4 "X��
K���W Fd��S���b�y{��r�oM��3��Z������E�� í�-��%c]k~��kvul(��-v�U�G1+2pfs�W?�N57;���/J�j3��ȏU洰�
N��wk�Y��[
�u���/]��e2���5�ðT�� �?�������Uܞ�d}�7����t+�ή��3S�#��w��ش�����i�������p7��{�3-l"|��lL��Uu@�6b�<�/3x]��[k�������:@��[���K�KX��,�
ǶK�j�g���lr���:��X�fx.�$�Y��3� �Pn��]}�5�o��7ʝs�>�6
��q�����ti2l��d��(no���@�h1O�?5P~7-�9�ъ�Y3�w����'~�O��"��o�z%c�(��|,��xD�$���8r
_j�a^.�R4����%W�ۈ���@�H�sÚh"�;h�2` �����{n��z@���B�_�2����ϡ�^���N}���ƃ�r�4��� ��8m�t:�����+)F������ܣ��v�NOS���t���c�ǠT#����N�l���$扴#ȉ���L^W3�q�So����O�e�n��b�ے����ФS �lM[����j��<�h:����۪;G�,�'�C��>�yx[����8��T۾�Z�'�X�r��&G��i�,��z/d��ΰ�/y�a���\�%��%}"���v�(���#f)�{�pTc��h��z*���۽Z�k�o��)�r�ݻ�M�C,���o#V8?����}�S{���������k{��������#����>�4�[�?��ٳ*-�W͡���)��Og��3�}�@<�}v���RKrM�T%�o���Bؚ-
�Ԇ�ۮ�A�u-��w��kt��AU ДBBC����_�('�U�Ή�h��y*��n��Og.;K� K�g>�����`zU]�8a{p��a3|�W�1Ã��NЮ����'
|