-
Notifications
You must be signed in to change notification settings - Fork 0
/
TAGS
1215 lines (1152 loc) · 151 KB
/
TAGS
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
modules/Optiks_Option.lua,263
function M.optionNames(65,2309
function M.optionNames(optionNames65,2309
function M.bless(83,2750
function M.bless(bless83,2750
function M.setDefault(120,3792
function M.setDefault(setDefault120,3792
function M.new(135,4362
function M.new(new135,4362
modules/Dbg.lua,1865
local function l_rPrint(104,3081
local function l_argsPack(121,3690
local function l_changeIndentLevel(127,3879
local function l_new(132,4007
function M.dbg(153,4545
function M.dbg(dbg153,4545
function M.set_prefix(164,4900
function M.set_prefix(set_prefix164,4900
function M.activateDebug(175,5319
function M.activateDebug(activateDebug175,5319
function M.indentLevel(212,6568
function M.indentLevel(indentLevel212,6568
function M.active(218,6723
function M.active(active218,6723
function M.currentLevel(224,6869
function M.currentLevel(currentLevel224,6869
function M.deactivateWarning(230,7033
function M.deactivateWarning(deactivateWarning230,7033
function M.activateWarning(236,7195
function M.activateWarning(activateWarning236,7195
function M._quiet(242,7355
function M._quiet(_quiet242,7355
local function l_extractVPL(247,7486
local function l_startExtractVPL(252,7568
function M._start(260,7783
function M._start(_start260,7783
function M._zeroIndent(276,8134
function M._zeroIndent(_zeroIndent276,8134
function M._indent(282,8289
function M._indent(_indent282,8289
function M._fini(288,8447
function M._fini(_fini288,8447
function M._warning(310,9069
function M._warning(_warning310,9069
function M._error(321,9367
function M._error(_error321,9367
function M.errorExit(334,9659
function M.errorExit(errorExit334,9659
function M.warningCalled(341,9846
function M.warningCalled(warningCalled341,9846
function M._print(349,10032
function M._print(_print349,10032
function M._textA(384,10905
function M._textA(_textA384,10905
function M._printA(405,11357
function M._printA(_printA405,11357
function M._print2D(424,11756
function M._print2D(_print2D424,11756
function M.flush(441,12153
function M.flush(flush441,12153
function M._printT(445,12198
function M._printT(_printT445,12198
modules/TermWidth.lua,64
local function l_askSystem(49,1883
function TermWidth(74,2477
modules/string_utils.lua,755
function string.escape(44,1901
function string.escape(escape44,1901
function string.split(59,2362
function string.split(split59,2362
local function l_getter(62,2467
local function l_splitter(66,2633
function string.trim(72,2763
function string.trim(trim72,2763
function string.caseIndependent(85,3141
function string.caseIndependent(caseIndependent85,3141
function string.multiEscaped(106,3808
function string.multiEscaped(multiEscaped106,3808
function string.doubleQuoteString(119,4234
function string.doubleQuoteString(doubleQuoteString119,4234
function string.atSymbolEscaped(132,4587
function string.atSymbolEscaped(atSymbolEscaped132,4587
function string.fillWords(144,5004
function string.fillWords(fillWords144,5004
modules/haveTermSupport.lua,67
function haveTermSupport(44,1846
function connected2Term(53,1985
modules/declare.lua,85
function declare(38,1669
function isDefined(46,1894
function isNotDefined(50,1960
modules/capture.lua,26
function capture(43,1723
modules/strict.lua,30
local function l_what 18,496
modules/BeautifulTbl.lua,199
function M.new(89,3873
function M.new(new89,3873
function M._build_tbl(120,4857
function M._build_tbl(_build_tbl120,4857
function M.build_tbl(184,6533
function M.build_tbl(build_tbl184,6533
modules/Optiks.lua,1391
local function l_argsPack(33,1446
function Optiks_Error(42,1780
function Optiks_Exit(52,1983
local function l_prt(81,2671
local function l_prtend(85,2723
function M.new(92,2916
function M.new(new92,2916
function M.add_option(150,4297
function M.add_option(add_option150,4297
function M._getValue(186,5491
function M._getValue(_getValue186,5491
function M.store(212,6299
function M.store(store212,6299
function M.store_true(225,6810
function M.store_true(store_true225,6810
function M.append(238,7328
function M.append(append238,7328
function M.store_false(255,7918
function M.store_false(store_false255,7918
function M.count(268,8433
function M.count(count268,8433
function M.display_store(278,8733
function M.display_store(display_store278,8733
function M.display_flag(298,9249
function M.display_flag(display_flag298,9249
function M.display_count(311,9603
function M.display_count(display_count311,9603
function M.setDefaults(319,9870
function M.setDefaults(setDefaults319,9870
function M.parseOpt(334,10412
function M.parseOpt(parseOpt334,10412
function M.buildHelpMsg(347,10863
function M.buildHelpMsg(buildHelpMsg347,10863
function M.printHelp(370,11474
function M.printHelp(printHelp370,11474
function M.parseEnvArg(380,11759
function M.parseEnvArg(parseEnvArg380,11759
function M.parse(435,13111
function M.parse(parse435,13111
modules/.luatools_modules.list,12
fileA=4,36
modules/fileOps.lua,612
local function l_argsPack(45,1815
function findInPath(54,2215
function find_exec_path(91,3194
function isDir(126,4069
function isFile(145,4569
function exists(156,4788
function isExec(169,5124
function dirname(178,5429
function extname(193,5810
function removeExt(210,6197
function barefilename(227,6606
function splitFileName(244,7038
function pathJoin(264,7568
function mkdir_recursive(306,8602
local function l_abspath 334,9245
function realpath(377,10234
function path_regularize(389,10582
local function l_walk_dir(456,11975
local function l_walker(477,12573
function dir_walk(485,12753
SyncMe/ProcessOneDir.lua,377
local function new(25,487
function M.processOneDir(58,1118
function M.processOneDir(processOneDir58,1118
function M.process(65,1273
function M.process(process65,1273
function M.report(109,2342
function M.report(report109,2342
function M.finddir(131,2872
function M.finddir(finddir131,2872
function M.displayDir(143,3120
function M.displayDir(displayDir143,3120
SyncMe/Version.lua,325
function M.branch(2,11
function M.branch(branch2,11
function M.branchStr(5,48
function M.branchStr(branchStr5,48
function M.tag(12,191
function M.tag(tag12,191
function M.git(13,228
function M.git(git13,228
function M.date(19,393
function M.date(date19,393
function M.name(20,448
function M.name(name20,448
SyncMe/findVCDir.lua,60
local function locateDir(13,167
function findVCDir(26,368
SyncMe/syncMe_cmd,144
function masterTbl(8,108
function splitFileName(12,154
function version(48,951
function main(55,1157
function countVerbosityLevel(160,3277
SyncMe/cvs.lua,59
local function repoName(9,115
function cvs_status(30,515
SyncMe/CmdLineOptions.lua,89
local function new(18,400
function M.options(27,507
function M.options(options27,507
proj_mgmt/buildVersion_src,76
function mTbl(6,51
function buildVersionCode(10,89
function main(49,1434
my_docs/24/worktree_syncMe_2024_05_01/presentation.pdf,114
•}¼é²úœž«Ç_.³sùÁsÖsùÁs906,324683
z¹ó°zÅîùå€}„ȉh‘Ù°È»…P9Òù•ÑèÇÀ.Ûøcª´ãB”mçMcª´ãB”mç914,327074
my_docs/24/worktree_syncMe_2024_05_01/SyncMe.org,181
*** My g repo has common hello world programs in C,9,346
*** My g repo has common hello world programs in C, C++, F90,9,346
** I develop on my Laptop and test on Frontera,11,463
my_docs/24/worktree_syncMe_2024_05_01/Worktree/worktree.bash,18
SCRIPT_NAME=3,34
my_docs/24/worktree_syncMe_2024_05_01/Makefile,102
TALKS 1,0
TEX_SUFS 2,29
%.pdf:%.pdf4,95
all:all7,128
clean:clean9,143
clobber:clobber13,226
my_docs/beamer/figures/master169.jpg,352
<x:xmpmeta xmlns:x=x2,261
¢„¹–’¼’J.%¨»–’iXViXV45,3999
ù‡µÚ,ewשxuEë`Y¶çÎG»ë¯Aòè”ÖëãÏ=õ|ëm¤èþÀB×j÷ù³Ù±³z¯¿ò³½æ‘6›WøcË=»²=#Çó}–¨4ûÞDóŸ^ÍvÚÍôo"%å¾Û¸º>C£C69,11112
nxÓ>Šiëššk‚šz¢ŠòãajÊ‹¾%V|¸¯´¼b\ÆvAhWÙ›^E7¬J©nE7¬J©74,12601
P&6‚þAdÞ¦}–Î~éÚ?Ý>Êû]Ù²úÎ=–Sdv·¾‚ThVDIÉpN|)¾º’J,çðgy*jeÝN …Âõ²¬Z.GTWáIö•ËÕÚ§«×ÆãþNÔ/H2%‘‘¤ÿñ¤96,42364
my_docs/beamer/figures/isa.png,165
ÖÅÊŸ®ø²Yµ?…ëfg=fg4,1772
”‹²óã²òú˺P¾KEdû”.d! ØÊ ”̪=¶õabÙòUóõ8ÝÕzQWQßV¾yz^úI€H€H€H€H€H€H ÓD}¨íNYcúNYc6,2234
ËÓ½ª!f˜f˜8,2889
my_docs/beamer/figures/secondary_right.jpg,34
¾„¾ÿ¿z¿õÀpÀìÁgÁz¿õÀpÀìÁg17,2988
my_docs/beamer/figures/TACC_logo.pdf,48
x혻’5Es}…¾@n©õŒ (Êà\åªÌü>kKêkK6,78
my_docs/beamer/figures/UT_logo.pdf,118242
<?xpacket begin=3,208
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
xA28,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f
xA28,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f
Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgAVAEAAwER
xA28,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f
Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgAVAEAAwER
AAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQFAwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAA
xA28,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f
Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgAVAEAAwER
AAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQFAwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAA
AQACAwQFBgcICQoLEAACAQMDAgQCBgcDBAIGAnMBAgMRBAAFIRIxQVEGE2EicYEUMpGhBxWxQiPB
xA28,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f
Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgAVAEAAwER
AAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQFAwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAA
AQACAwQFBgcICQoLEAACAQMDAgQCBgcDBAIGAnMBAgMRBAAFIRIxQVEGE2EicYEUMpGhBxWxQiPB
UtHhMxZi8CRygvElQzRTkqKyY3PCNUQnk6OzNhdUZHTD0uIIJoMJChgZhJRFRqS0VtNVKBry4/PE
xA28,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f
Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgAVAEAAwER
AAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQFAwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAA
AQACAwQFBgcICQoLEAACAQMDAgQCBgcDBAIGAnMBAgMRBAAFIRIxQVEGE2EicYEUMpGhBxWxQiPB
UtHhMxZi8CRygvElQzRTkqKyY3PCNUQnk6OzNhdUZHTD0uIIJoMJChgZhJRFRqS0VtNVKBry4/PE
1OT0ZXWFlaW1xdXl9WZ2hpamtsbW5vY3R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo+Ck5SVlpeYmZ
xA28,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f
Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgAVAEAAwER
AAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQFAwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAA
AQACAwQFBgcICQoLEAACAQMDAgQCBgcDBAIGAnMBAgMRBAAFIRIxQVEGE2EicYEUMpGhBxWxQiPB
UtHhMxZi8CRygvElQzRTkqKyY3PCNUQnk6OzNhdUZHTD0uIIJoMJChgZhJRFRqS0VtNVKBry4/PE
1OT0ZXWFlaW1xdXl9WZ2hpamtsbW5vY3R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo+Ck5SVlpeYmZ
qbnJ2en5KjpKWmp6ipqqusra6voRAAICAQIDBQUEBQYECAMDbQEAAhEDBCESMUEFURNhIgZxgZEy
obHwFMHR4SNCFVJicvEzJDRDghaSUyWiY7LCB3PSNeJEgxdUkwgJChgZJjZFGidkdFU38qOzwygp
0+PzhJSktMTU5PRldYWVpbXF1eX1RlZmdoaWprbG1ub2R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo
+DlJWWl5iZmpucnZ6fkqOkpaanqKmqq6ytrq+v/aAAwDAQACEQMRAD8A66fIfkpfzJi0oaFYfo/9
AyObY28ZUyC6RBIarUycduf2vfFFIvzvp6J508imysra5ureS9W2juXMS0jtCVHqiOd/gpyX4TuP
pxUt6Vb3L/m/cXWo2FpbX36CjKvbSG4JBumXkZHht2DUHHodh1xVA3OiWlz+Z+tkeXrTVl46JLPN
KyRS25Ms/K4jqjFyAgZgGXkFpvivV6dilgf5aafYJc+d4RbRKJNfuUlj4KA0Rt4SqsKbqebUHTc+
OKAkMVhan8h7e1twbSC5ktwHh/dsFm1NKOpHRuJqDivRbq9/PJbW3knznFHeatb6hpb6ZqUqL6Wo
2v6Rt0kdOXSZYmZZkHap3BxQynzrZWVz5y8jNcwpIU1C6ZGcAkFLGaVKH2kjVvmBikpf5rh07yt5
+0jzi0cdvY6kkmk61ccQOLOPVtpmpvXlGUZvCmKr9N0K2X8v/MGq3dnGl95jgu9TvUZF5BZo2eCJ
6j/dUXEEfzcj3xVd+T+nLbeW7G5GiW+mG50rTCb+3kVjehYWPOWNUTi6lySTUnl12xUMM0qKxs/M
ltHbWP6Kc+b71F1xVjjhaJQ9bHlG3Os1eKq6hevHcYoZp+aOmTGXTPMB02LXdO0NbltT0aX4i0Fw
qq1xEjfA8kKxtRXG4JpQ4pKzzvbaHqHlLyuYLdJtMk1TRfqaSry/0eW4iUA86n4om4mv04qVT84f
L2h3PkvXdXubCCfU7fTpI7a7lRXkiVasPTLV4GrHdd8VKYWn5f8Ak+78qyaadKt4LXVbWEXiwRpF
ydUPGUBRxEqlyQ9K4rSR+RLK916/E3mFIbmXyVLLo9o9OXq3cfAtekEfCxg9IKK7MXPhioZf501G
/wBM8o61qGnrzvrSynmtxts6Rlg1D140rTv0xSWLv5P8pXP5dC8EcYuW0/6+uvj/AHsE/o+r9b+s
19Xny+L7XTbptiikp8yNd6x+XvkW+1axivtTnvtKeSC4CgSNMPiDFlYL6o+0KfMYq9A8q6fFY6Os
MelRaLylmd9PgcSRqWlb4lZQq0cUegApWnbFKb4q7FWMfmX/AMoTqX/PH/k/Hmv7V/xeXw+8Oy7I
xA28,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f
Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgAVAEAAwER
AAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQFAwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAA
AQACAwQFBgcICQoLEAACAQMDAgQCBgcDBAIGAnMBAgMRBAAFIRIxQVEGE2EicYEUMpGhBxWxQiPB
UtHhMxZi8CRygvElQzRTkqKyY3PCNUQnk6OzNhdUZHTD0uIIJoMJChgZhJRFRqS0VtNVKBry4/PE
1OT0ZXWFlaW1xdXl9WZ2hpamtsbW5vY3R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo+Ck5SVlpeYmZ
qbnJ2en5KjpKWmp6ipqqusra6voRAAICAQIDBQUEBQYECAMDbQEAAhEDBCESMUEFURNhIgZxgZEy
obHwFMHR4SNCFVJicvEzJDRDghaSUyWiY7LCB3PSNeJEgxdUkwgJChgZJjZFGidkdFU38qOzwygp
0+PzhJSktMTU5PRldYWVpbXF1eX1RlZmdoaWprbG1ub2R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo
+DlJWWl5iZmpucnZ6fkqOkpaanqKmqq6ytrq+v/aAAwDAQACEQMRAD8A66fIfkpfzJi0oaFYfo/9
AyObY28ZUyC6RBIarUycduf2vfFFIvzvp6J508imysra5ureS9W2juXMS0jtCVHqiOd/gpyX4TuP
pxUt6Vb3L/m/cXWo2FpbX36CjKvbSG4JBumXkZHht2DUHHodh1xVA3OiWlz+Z+tkeXrTVl46JLPN
KyRS25Ms/K4jqjFyAgZgGXkFpvivV6dilgf5aafYJc+d4RbRKJNfuUlj4KA0Rt4SqsKbqebUHTc+
OKAkMVhan8h7e1twbSC5ktwHh/dsFm1NKOpHRuJqDivRbq9/PJbW3knznFHeatb6hpb6ZqUqL6Wo
2v6Rt0kdOXSZYmZZkHap3BxQynzrZWVz5y8jNcwpIU1C6ZGcAkFLGaVKH2kjVvmBikpf5rh07yt5
+0jzi0cdvY6kkmk61ccQOLOPVtpmpvXlGUZvCmKr9N0K2X8v/MGq3dnGl95jgu9TvUZF5BZo2eCJ
6j/dUXEEfzcj3xVd+T+nLbeW7G5GiW+mG50rTCb+3kVjehYWPOWNUTi6lySTUnl12xUMM0qKxs/M
ltHbWP6Kc+b71F1xVjjhaJQ9bHlG3Os1eKq6hevHcYoZp+aOmTGXTPMB02LXdO0NbltT0aX4i0Fw
qq1xEjfA8kKxtRXG4JpQ4pKzzvbaHqHlLyuYLdJtMk1TRfqaSry/0eW4iUA86n4om4mv04qVT84f
L2h3PkvXdXubCCfU7fTpI7a7lRXkiVasPTLV4GrHdd8VKYWn5f8Ak+78qyaadKt4LXVbWEXiwRpF
ydUPGUBRxEqlyQ9K4rSR+RLK916/E3mFIbmXyVLLo9o9OXq3cfAtekEfCxg9IKK7MXPhioZf501G
/wBM8o61qGnrzvrSynmtxts6Rlg1D140rTv0xSWLv5P8pXP5dC8EcYuW0/6+uvj/AHsE/o+r9b+s
19Xny+L7XTbptiikp8yNd6x+XvkW+1axivtTnvtKeSC4CgSNMPiDFlYL6o+0KfMYq9A8q6fFY6Os
MelRaLylmd9PgcSRqWlb4lZQq0cUegApWnbFKb4q7FWMfmX/AMoTqX/PH/k/Hmv7V/xeXw+8Oy7I
/wAZj8f9yXhWca9q7FXuv5af8oTpv/Pb/k/JnZdlf4vH4/eXiu1/8Zl8P9yGBfmzNKnmpQjso+rR
7AkftNmk7ZkRm+Ad52JEHB/nFhf1m4/36/8AwRzVcR73b8A7kz8r3E58y6SDIxBvbcEFj/v1cyNJ
I+ND+sPvcfWRHgz2/hl9z6FzuHgklubDyzH5iTW7iVItZhtzarI1y6AQOeZQw8xGQWo26+Hhiqlq
sPk69v7DVb+7h+taSzvZTi8aFY2lXg5ISREbkvwnkDttiqh9Z8g/p/8AT/6Ttf0r9X+qev8AXvh9
Dlz4el6vpU5b/Z64qg76y/Le91G51GbVIlu7xY47totUliSWOGvCN4451jK/EduPc+OKE+/xV5X/
AOrxZf8ASTF/zVilI761/Li9vri9k1OCGe8CrfG21FrdbhUXgonSGZFkou24rTbpUYoROoy/l7qO
xA28,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f
Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgAVAEAAwER
AAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQFAwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAA
AQACAwQFBgcICQoLEAACAQMDAgQCBgcDBAIGAnMBAgMRBAAFIRIxQVEGE2EicYEUMpGhBxWxQiPB
UtHhMxZi8CRygvElQzRTkqKyY3PCNUQnk6OzNhdUZHTD0uIIJoMJChgZhJRFRqS0VtNVKBry4/PE
1OT0ZXWFlaW1xdXl9WZ2hpamtsbW5vY3R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo+Ck5SVlpeYmZ
qbnJ2en5KjpKWmp6ipqqusra6voRAAICAQIDBQUEBQYECAMDbQEAAhEDBCESMUEFURNhIgZxgZEy
obHwFMHR4SNCFVJicvEzJDRDghaSUyWiY7LCB3PSNeJEgxdUkwgJChgZJjZFGidkdFU38qOzwygp
0+PzhJSktMTU5PRldYWVpbXF1eX1RlZmdoaWprbG1ub2R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo
+DlJWWl5iZmpucnZ6fkqOkpaanqKmqq6ytrq+v/aAAwDAQACEQMRAD8A66fIfkpfzJi0oaFYfo/9
AyObY28ZUyC6RBIarUycduf2vfFFIvzvp6J508imysra5ureS9W2juXMS0jtCVHqiOd/gpyX4TuP
pxUt6Vb3L/m/cXWo2FpbX36CjKvbSG4JBumXkZHht2DUHHodh1xVA3OiWlz+Z+tkeXrTVl46JLPN
KyRS25Ms/K4jqjFyAgZgGXkFpvivV6dilgf5aafYJc+d4RbRKJNfuUlj4KA0Rt4SqsKbqebUHTc+
OKAkMVhan8h7e1twbSC5ktwHh/dsFm1NKOpHRuJqDivRbq9/PJbW3knznFHeatb6hpb6ZqUqL6Wo
2v6Rt0kdOXSZYmZZkHap3BxQynzrZWVz5y8jNcwpIU1C6ZGcAkFLGaVKH2kjVvmBikpf5rh07yt5
+0jzi0cdvY6kkmk61ccQOLOPVtpmpvXlGUZvCmKr9N0K2X8v/MGq3dnGl95jgu9TvUZF5BZo2eCJ
6j/dUXEEfzcj3xVd+T+nLbeW7G5GiW+mG50rTCb+3kVjehYWPOWNUTi6lySTUnl12xUMM0qKxs/M
ltHbWP6Kc+b71F1xVjjhaJQ9bHlG3Os1eKq6hevHcYoZp+aOmTGXTPMB02LXdO0NbltT0aX4i0Fw
qq1xEjfA8kKxtRXG4JpQ4pKzzvbaHqHlLyuYLdJtMk1TRfqaSry/0eW4iUA86n4om4mv04qVT84f
L2h3PkvXdXubCCfU7fTpI7a7lRXkiVasPTLV4GrHdd8VKYWn5f8Ak+78qyaadKt4LXVbWEXiwRpF
ydUPGUBRxEqlyQ9K4rSR+RLK916/E3mFIbmXyVLLo9o9OXq3cfAtekEfCxg9IKK7MXPhioZf501G
/wBM8o61qGnrzvrSynmtxts6Rlg1D140rTv0xSWLv5P8pXP5dC8EcYuW0/6+uvj/AHsE/o+r9b+s
19Xny+L7XTbptiikp8yNd6x+XvkW+1axivtTnvtKeSC4CgSNMPiDFlYL6o+0KfMYq9A8q6fFY6Os
MelRaLylmd9PgcSRqWlb4lZQq0cUegApWnbFKb4q7FWMfmX/AMoTqX/PH/k/Hmv7V/xeXw+8Oy7I
/wAZj8f9yXhWca9q7FXuv5af8oTpv/Pb/k/JnZdlf4vH4/eXiu1/8Zl8P9yGBfmzNKnmpQjso+rR
7AkftNmk7ZkRm+Ad52JEHB/nFhf1m4/36/8AwRzVcR73b8A7kz8r3E58y6SDIxBvbcEFj/v1cyNJ
I+ND+sPvcfWRHgz2/hl9z6FzuHgklubDyzH5iTW7iVItZhtzarI1y6AQOeZQw8xGQWo26+Hhiqlq
sPk69v7DVb+7h+taSzvZTi8aFY2lXg5ISREbkvwnkDttiqh9Z8g/p/8AT/6Ttf0r9X+qev8AXvh9
Dlz4el6vpU5b/Z64qg76y/Le91G51GbVIlu7xY47totUliSWOGvCN4451jK/EduPc+OKE+/xV5X/
AOrxZf8ASTF/zVilI761/Li9vri9k1OCGe8CrfG21FrdbhUXgonSGZFkou24rTbpUYoROoy/l7qO
jLot1f2P6LQRKlrFeLAqrAQY1BikQgKVFBXtilfqd35B1OOzS+1Cwn/R88N3Zu91GXjmt2DxuHL8
xA28,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA
AQBIAAAAAQAB/+4ADkFkb2JlAGTAAAAAAf/bAIQABgQEBAUEBgUFBgkGBQYJCwgGBggLDAoKCwoK
DBAMDAwMDAwQDA4PEA8ODBMTFBQTExwbGxscHx8fHx8fHx8fHwEHBwcNDA0YEBAYGhURFRofHx8f
Hx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8f/8AAEQgAVAEAAwER
AAIRAQMRAf/EAaIAAAAHAQEBAQEAAAAAAAAAAAQFAwIGAQAHCAkKCwEAAgIDAQEBAQEAAAAAAAAA
AQACAwQFBgcICQoLEAACAQMDAgQCBgcDBAIGAnMBAgMRBAAFIRIxQVEGE2EicYEUMpGhBxWxQiPB
UtHhMxZi8CRygvElQzRTkqKyY3PCNUQnk6OzNhdUZHTD0uIIJoMJChgZhJRFRqS0VtNVKBry4/PE
1OT0ZXWFlaW1xdXl9WZ2hpamtsbW5vY3R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo+Ck5SVlpeYmZ
qbnJ2en5KjpKWmp6ipqqusra6voRAAICAQIDBQUEBQYECAMDbQEAAhEDBCESMUEFURNhIgZxgZEy
obHwFMHR4SNCFVJicvEzJDRDghaSUyWiY7LCB3PSNeJEgxdUkwgJChgZJjZFGidkdFU38qOzwygp
0+PzhJSktMTU5PRldYWVpbXF1eX1RlZmdoaWprbG1ub2R1dnd4eXp7fH1+f3OEhYaHiImKi4yNjo
+DlJWWl5iZmpucnZ6fkqOkpaanqKmqq6ytrq+v/aAAwDAQACEQMRAD8A66fIfkpfzJi0oaFYfo/9
AyObY28ZUyC6RBIarUycduf2vfFFIvzvp6J508imysra5ureS9W2juXMS0jtCVHqiOd/gpyX4TuP
pxUt6Vb3L/m/cXWo2FpbX36CjKvbSG4JBumXkZHht2DUHHodh1xVA3OiWlz+Z+tkeXrTVl46JLPN
KyRS25Ms/K4jqjFyAgZgGXkFpvivV6dilgf5aafYJc+d4RbRKJNfuUlj4KA0Rt4SqsKbqebUHTc+
OKAkMVhan8h7e1twbSC5ktwHh/dsFm1NKOpHRuJqDivRbq9/PJbW3knznFHeatb6hpb6ZqUqL6Wo
2v6Rt0kdOXSZYmZZkHap3BxQynzrZWVz5y8jNcwpIU1C6ZGcAkFLGaVKH2kjVvmBikpf5rh07yt5
+0jzi0cdvY6kkmk61ccQOLOPVtpmpvXlGUZvCmKr9N0K2X8v/MGq3dnGl95jgu9TvUZF5BZo2eCJ
6j/dUXEEfzcj3xVd+T+nLbeW7G5GiW+mG50rTCb+3kVjehYWPOWNUTi6lySTUnl12xUMM0qKxs/M
ltHbWP6Kc+b71F1xVjjhaJQ9bHlG3Os1eKq6hevHcYoZp+aOmTGXTPMB02LXdO0NbltT0aX4i0Fw
qq1xEjfA8kKxtRXG4JpQ4pKzzvbaHqHlLyuYLdJtMk1TRfqaSry/0eW4iUA86n4om4mv04qVT84f
L2h3PkvXdXubCCfU7fTpI7a7lRXkiVasPTLV4GrHdd8VKYWn5f8Ak+78qyaadKt4LXVbWEXiwRpF
ydUPGUBRxEqlyQ9K4rSR+RLK916/E3mFIbmXyVLLo9o9OXq3cfAtekEfCxg9IKK7MXPhioZf501G
/wBM8o61qGnrzvrSynmtxts6Rlg1D140rTv0xSWLv5P8pXP5dC8EcYuW0/6+uvj/AHsE/o+r9b+s
19Xny+L7XTbptiikp8yNd6x+XvkW+1axivtTnvtKeSC4CgSNMPiDFlYL6o+0KfMYq9A8q6fFY6Os
MelRaLylmd9PgcSRqWlb4lZQq0cUegApWnbFKb4q7FWMfmX/AMoTqX/PH/k/Hmv7V/xeXw+8Oy7I
/wAZj8f9yXhWca9q7FXuv5af8oTpv/Pb/k/JnZdlf4vH4/eXiu1/8Zl8P9yGBfmzNKnmpQjso+rR
7AkftNmk7ZkRm+Ad52JEHB/nFhf1m4/36/8AwRzVcR73b8A7kz8r3E58y6SDIxBvbcEFj/v1cyNJ
I+ND+sPvcfWRHgz2/hl9z6FzuHgklubDyzH5iTW7iVItZhtzarI1y6AQOeZQw8xGQWo26+Hhiqlq
sPk69v7DVb+7h+taSzvZTi8aFY2lXg5ISREbkvwnkDttiqh9Z8g/p/8AT/6Ttf0r9X+qev8AXvh9
Dlz4el6vpU5b/Z64qg76y/Le91G51GbVIlu7xY47totUliSWOGvCN4451jK/EduPc+OKE+/xV5X/
AOrxZf8ASTF/zVilI761/Li9vri9k1OCGe8CrfG21FrdbhUXgonSGZFkou24rTbpUYoROoy/l7qO
jLot1f2P6LQRKlrFeLAqrAQY1BikQgKVFBXtilfqd35B1OOzS+1Cwn/R88N3Zu91GXjmt2DxuHL8
q1XffcdcVW6pceQdVvNPvL7U7SS40uUz2LrfemEkIoW4xyorbbfEDtiqprV95D1vTpNO1XULC6sp
WRpIXuYqExuJF6OD9pRiqIvde8n3tnPZ3OrWT29zG0UyC7jQlHBVhyR1YVB6g4qluhp+Xmhsp07V
IFEcCWsKTai1wsUMf2Y4hPNJwXYbLToPDFCkLH8sP0bqOmPeWctjqsz3N9DLfmUPM7BmkUvKzI3I
A/ARQ4qsvdP/AC3vGgabV05QW7WZZdVlDS27klopn9flKtTX4yTiqO1a48gatZ29nealaG2tZYp7
aOG9FvwkgNYmUwSRn4CAQOmKVXWNR8j6xpdxpWo6nZzWN0np3EQvFjLJUGnOORX3pvQ4qiLTzB5R
tLWK1g1ezEMCCOMPdpIwVRQVd3Zm+ZOKoLSLjyDpE19Np+p2sT6lO11ecr71Q8zABn4ySuqkgAfC
B0GKpi3mjysylW1exKkUINxCQQf9lirHrTyx+XHoPbWt6j6SXLNpKag7WPItzI9AS8OJO5j+x/k4
xA28,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<xapGImg:image>/9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA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,1457
<rdf:Description rdf:about=about33,13072
my_docs/beamer/figures/secondary.jpg,28
<x:xmpmeta xmlns:x=x2,261
my_docs/beamer/figures/secondary169.jpg,47
<x:xmpmeta xmlns:x=x2,261
uU2=uU237,32218
my_docs/beamer/figures/secondary_right169.jpg,287
<x:xmpmeta xmlns:x=x2,261
u§üfôRù>µSÅr‚g#˜‹}2‚Ž-FÈÑYp€VË|¬¬¬€C+ì¬yl¶Ëe²· ²«ò8ä·ÂÙ¨¦2Ã&çutQb;utQb70,35829
u§üfôRù>µSÅr‚g#˜‹}2‚Ž-FÈÑYp€VË|¬¬¬€C+ì¬yl¶Ëe²· ²«ò8ä·ÂÙ¨¦2Ã&çutQb; PäÝxd¦ÓÚDØl¬±·F6Gzów¯8zów¯7zów¯7zów¯7zê̗ºVNcf ¼áèbÒ/6‘?‘aõ¥ã—eQ^ÆuRbïuRb70,35829
my_docs/beamer/figures/secondary169.png,162
â…ùtFÈæ>Y—>箿‚ë_×Ò5•_R8G÷^Ú>v!ÝëE¬+™Ë‹òi%Ì`6›ñl·á~´Ãxè¸zqÌk›\¾8äÒÖˆ‹ë“Q¸…𧪨æ»êÊM®ÌnØodfô^î÷-<~¿n¼+’ãŽÓûQ÷äÁýúåT^æzÃ0Ã0Ã0Ã0>T@W®T@W16,8790
my_docs/beamer/figures/master169.png,18
Ü´Q”Ä%²v)v4,133
my_docs/beamer/figures/master.jpg,28
<x:xmpmeta xmlns:x=x2,261
my_docs/beamer/beamerthemeTACC.sty,182
\newcommand{\event}\event20,317
\def\TACC@eventname{\TACC@eventname22,359
\newcommand{\sectionframe}\sectionframe25,403
\newcommand{\subsectionframe}\subsectionframe26,472
my_docs/beamer/beamercolorthemeTACC16.sty,120
\definecolor{inecolor13,281
\definecolor{inecolor14,319
\definecolor{inecolor15,361
\definecolor{inecolor16,404
my_docs/beamer/beamercolorthemeTACC.sty,556
\definecolor{inecolor22,886
\definecolor{inecolor23,952
\definecolor{inecolor24,1017
\definecolor{inecolor27,1098
\definecolor{inecolor28,1172
\definecolor{inecolor29,1249
\definecolor{inecolor32,1360
\definecolor{inecolor33,1433
\definecolor{inecolor34,1508
\definecolor{inecolor37,1600
\definecolor{inecolor38,1672
\definecolor{inecolor39,1735
\definecolor{inecolor42,1854
\definecolor{inecolor43,1924
\definecolor{inecolor44,1998
\definecolor{inecolor46,2074
\definecolor{inecolor47,2146
\definecolor{inecolor48,2222
my_docs/beamer/themes/example.pdf,104
<x:xmpmeta xmlns:x=x8,417
¨AÄ×{œEgh€H;€GAþ(¨S"=>CÖéÙÔ©ô+¨°~Þ@†x }FYÿ"³Z}È£"FYÿ"³Z}È£926,319885
my_docs/beamer/themes/beamercolorthemeTACC16.sty,120
\definecolor{inecolor13,281
\definecolor{inecolor14,319
\definecolor{inecolor15,361
\definecolor{inecolor17,442
my_docs/beamer/themes/beamerthemeTACC16-169.sty,446
\def\beamer@calltheme#1#2#3{\beamer@calltheme13,234
\def\beamer@themelist{\beamer@themelist14,266
\def\usefolder#1{\usefolder18,414
\def\beamer@themelocation{\beamer@themelocation19,434
\def\beamer@themelocation{\beamer@themelocation21,472
\newcommand{\event}\event32,631
\def\TACC@eventname{\TACC@eventname34,673
\newcommand{\sectionframe}\sectionframe37,717
\newcommand{\subsectionframe}\subsectionframe38,786
my_docs/beamer/themes/beamerthemeTACC16.sty,182
\newcommand{\event}\event20,325
\def\TACC@eventname{\TACC@eventname22,367
\newcommand{\sectionframe}\sectionframe25,411
\newcommand{\subsectionframe}\subsectionframe26,480
my_docs/beamer/themes/Makefile,19989
fileinfo 31,1382
author 32,1409
version 33,1433
.DEFAULT_GOAL 35,1453
.PHONY:.PHONY38,1621
.PHONY:.PHONY42,1800
BUILD_STRATEGY ?=BUILD_STRATEGY ?48,2063
export LC_ALL ?=export LC_ALL ?52,2228
neverclean ?=neverclean ?86,3062
CAT ?=CAT ?669,31015
CP ?=CP ?670,31027
DIFF ?=DIFF ?671,31040
ECHO ?=ECHO ?672,31054
EGREP ?=EGREP ?673,31068
ENV ?=ENV ?674,31084
EXPR ?=EXPR ?675,31096
MV ?=MV ?676,31110
SED ?=SED ?677,31123
SORT ?=SORT ?678,31135
TOUCH ?=TOUCH ?679,31149
UNIQ ?=UNIQ ?680,31165
WHICH ?=WHICH ?681,31179
XARGS ?=XARGS ?682,31195
SLEEP ?=SLEEP ?683,31211
BIBTEX ?=BIBTEX ?685,31258
DVIPS ?=DVIPS ?686,31276
LATEX ?=LATEX ?687,31292
PDFLATEX ?=PDFLATEX ?688,31308
XELATEX ?=XELATEX ?689,31329
EPSTOPDF ?=EPSTOPDF ?690,31349
MAKEINDEX ?=MAKEINDEX ?691,31370
XINDY ?=XINDY ?692,31393
KPSEWHICH ?=KPSEWHICH ?693,31409
GS ?=GS ?694,31432
CYGPATH ?=CYGPATH ?697,31520
TPUT ?=TPUT ?699,31570
PERL ?=PERL ?701,31607
PYTHON ?=PYTHON ?702,31621
RST2LATEX ?=RST2LATEX ?703,31639
CONVERT ?=CONVERT ?705,31688
DOT ?=DOT ?706,31722
DOT2TEX ?=DOT2TEX ?707,31746
FIG2DEV ?=FIG2DEV ?708,31809
GNUPLOT ?=GNUPLOT ?709,31836
INKSCAPE ?=INKSCAPE ?710,31866
XMGRACE ?=XMGRACE ?711,31912
PNGTOPNM ?=PNGTOPNM ?712,31942
PPMTOPGM ?=PPMTOPGM ?713,32001
PNMTOPS ?=PNMTOPS ?714,32067
GUNZIP ?=GUNZIP ?715,32125
PSNUP ?=PSNUP ?717,32188
VIEW_POSTSCRIPT ?=VIEW_POSTSCRIPT ?719,32226
VIEW_PDF ?=VIEW_PDF ?720,32248
VIEW_GRAPHICS ?=VIEW_GRAPHICS ?721,32265
XINDYLANG ?=XINDYLANG ?724,32310
XINDYENC ?=XINDYENC ?725,32331
USE_CYGPATH 729,32490
PS_EMBED_OPTIONS ?=PS_EMBED_OPTIONS ?741,32807
PS_COMPATIBILITY ?=PS_COMPATIBILITY ?742,32909
KEEP_TEMP ?=KEEP_TEMP ?745,33014
DEFAULT_GPI_EPS_FONTSIZE ?=DEFAULT_GPI_EPS_FONTSIZE ?748,33047
DEFAULT_GPI_PDF_FONTSIZE ?=DEFAULT_GPI_PDF_FONTSIZE ?749,33078
RST_STYLE_FILE ?=RST_STYLE_FILE ?752,33132
FIXED_ECHO 756,33314
ECHO 757,33399
GNUPLOT_OUTPUT_EXTENSION ?=GNUPLOT_OUTPUT_EXTENSION ?766,33666
GPI_OUTPUT_EXTENSION 771,33925
GPI_FSIZE_SYNTAX 776,34180
$(findstring fsize:$(findstring fsize780,34268
BINARY_TARGET_DIR ?=BINARY_TARGET_DIR ?798,34819
RESTARTS 800,34847
GRAY ?=GRAY ?854,36736
remove-files-helper 862,36915
remove-files 865,37002
clean-files 870,37228
remove-temporary-files 899,38203
cleanse-filename 903,38346
escape-fname-regex 907,38443
test-exists 911,38551
move-if-exists 914,38619
copy-if-different 918,38792
copy-if-exists 919,38860
move-if-different 920,38920
replace-if-different-and-remove 921,38988
test-different 928,39214
test-exists-and-different 929,39271
get-default 934,39475
space 962,40278
colon 963,40306
comma 964,40319
sh_true 967,40359
sh_false 968,40373
.SUFFIXES:.SUFFIXES971,40441
RM 975,40522
QUIET 980,40599
SHELL +=SHELL +986,40736
this_file 992,40922
this_file 994,40991
REAL_TPUT 999,41083
get-term-code 1004,41216
black 1006,41278
red 1007,41317
green 1008,41354
yellow 1009,41393
blue 1010,41433
magenta 1011,41471
cyan 1012,41512
white 1013,41550
bold 1014,41589
uline 1015,41624
reset 1016,41660
LATEX_COLOR_WARNING ?=LATEX_COLOR_WARNING ?1021,41729
LATEX_COLOR_ERROR ?=LATEX_COLOR_ERROR ?1022,41760
LATEX_COLOR_INFO ?=LATEX_COLOR_INFO ?1023,41785
LATEX_COLOR_UNDERFULL ?=LATEX_COLOR_UNDERFULL ?1024,41811
LATEX_COLOR_OVERFULL ?=LATEX_COLOR_OVERFULL ?1025,41844
LATEX_COLOR_PAGES ?=LATEX_COLOR_PAGES ?1026,41877
LATEX_COLOR_BUILD ?=LATEX_COLOR_BUILD ?1027,41903
LATEX_COLOR_GRAPHIC ?=LATEX_COLOR_GRAPHIC ?1028,41929
LATEX_COLOR_DEP ?=LATEX_COLOR_DEP ?1029,41959
LATEX_COLOR_SUCCESS ?=LATEX_COLOR_SUCCESS ?1030,41985
LATEX_COLOR_FAILURE ?=LATEX_COLOR_FAILURE ?1031,42019
get-color 1036,42198
C_WARNING 1041,42289
C_ERROR 1042,42328
C_INFO 1043,42364
C_UNDERFULL 1044,42398
C_OVERFULL 1045,42441
C_PAGES 1046,42482
C_BUILD 1047,42518
C_GRAPHIC 1048,42554
C_DEP 1049,42593
C_SUCCESS 1050,42625
C_FAILURE 1051,42664
C_RESET 1052,42703
hascleangoals 1060,42866
hasbuildgoals 1061,42939
GNUPLOT_SED 1073,43267
GNUPLOT_GLOBAL 1074,43309
default_graphic_extension ?=default_graphic_extension ?1077,43406
latex_build_program ?=latex_build_program ?1078,43439
build_target_extension ?=build_target_extension ?1079,43472
hyperref_driver_pattern ?=hyperref_driver_pattern ?1080,43503
hyperref_driver_error ?=hyperref_driver_error ?1081,43538
default_graphic_extension ?=default_graphic_extension ?1085,43669
latex_build_program ?=latex_build_program ?1086,43702
build_target_extension ?=build_target_extension ?1087,43738
hyperref_driver_pattern ?=hyperref_driver_pattern ?1088,43769
hyperref_driver_error ?=hyperref_driver_error ?1089,43804
default_graphic_extension ?=default_graphic_extension ?1093,43957
latex_build_program ?=latex_build_program ?1094,43990
build_target_extension ?=build_target_extension ?1095,44025
hyperref_driver_pattern ?=hyperref_driver_pattern ?1096,44056
hyperref_driver_error ?=hyperref_driver_error ?1097,44094
all_files.tex ?=all_files.tex ?1101,44223
all_files.tex.sh ?=all_files.tex.sh ?1102,44259
all_files.tex.pl ?=all_files.tex.pl ?1103,44300
all_files.tex.py ?=all_files.tex.py ?1104,44341
all_files.rst ?=all_files.rst ?1105,44382
all_files.fig ?=all_files.fig ?1106,44418
all_files.gpi ?=all_files.gpi ?1107,44454
all_files.dot ?=all_files.dot ?1108,44490
all_files.xvg ?=all_files.xvg ?1109,44526
all_files.svg ?=all_files.svg ?1110,44562
all_files.png ?=all_files.png ?1111,44598
all_files.jpg ?=all_files.jpg ?1112,44634
all_files.jpeg ?=all_files.jpeg ?1113,44670
all_files.eps.gz ?=all_files.eps.gz ?1114,44708
all_files.eps ?=all_files.eps ?1115,44749
cleanable-files 1120,44977
ignore_files 1125,45204
ignore_patterns 1130,45365
nodefault_patterns 1133,45467
filter-buildable 1137,45612
filter-default 1143,45826
files.tex 1148,46017
files.tex.sh 1149,46059
files.tex.pl 1150,46107
files.tex.py 1151,46155
files.rst 1152,46203
files.gpi 1153,46245
files.dot 1154,46287
files.fig 1155,46329
files.xvg 1156,46371
files.svg 1157,46413
files.png 1158,46455
files.jpg 1159,46497
files.jpeg 1160,46539
files.eps.gz 1161,46583
files.eps 1162,46631
.SECONDARY:.SECONDARY1169,46998
default_files.tex 1172,47104
default_files.tex.sh 1173,47152
default_files.tex.pl 1174,47206
default_files.tex.py 1175,47260
default_files.rst 1176,47314
default_files.gpi 1177,47362
default_files.dot 1178,47410
default_files.fig 1179,47458
default_files.xvg 1180,47506
default_files.svg 1181,47554
default_files.png 1182,47602
default_files.jpg 1183,47650
default_files.jpeg 1184,47698
default_files.eps.gz 1185,47748
default_files.eps 1186,47802
concat-files 1190,47946
all_files_source 1193,48027
all_files_scripts 1194,48076
.PHONY:.PHONY1196,48148
default_files_source 1198,48178
default_files_scripts 1199,48235
files_source 1201,48315
files_scripts 1202,48356
get-stems 1206,48495
all_stems.tex 1209,48617
all_stems.tex.sh 1210,48661
all_stems.tex.pl 1211,48710
all_stems.tex.py 1212,48759
all_stems.rst 1213,48808
all_stems.fig 1214,48852
all_stems.gpi 1215,48896
all_stems.dot 1216,48940
all_stems.xvg 1217,48984
all_stems.svg 1218,49028
all_stems.png 1219,49072
all_stems.jpg 1220,49116
all_stems.jpeg 1221,49160
all_stems.eps.gz 1222,49206
all_stems.eps 1223,49255
default_stems.tex 1226,49355
default_stems.tex.sh 1227,49407
default_stems.tex.pl 1228,49465
default_stems.tex.py 1229,49523
default_stems.rst 1230,49581
default_stems.fig 1231,49633
default_stems.gpi 1232,49685
default_stems.dot 1233,49737
default_stems.xvg 1234,49789
default_stems.svg 1235,49841
default_stems.png 1236,49893
default_stems.jpg 1237,49945
default_stems.jpeg 1238,49997
default_stems.eps.gz 1239,50051
default_stems.eps 1240,50109
stems.tex 1243,50228
stems.tex.sh 1244,50264
stems.tex.pl 1245,50306
stems.tex.py 1246,50348
stems.rst 1247,50390
stems.fig 1248,50426
stems.gpi 1249,50462
stems.dot 1250,50498
stems.xvg 1251,50534
stems.svg 1252,50570
stems.png 1253,50606
stems.jpg 1254,50642
stems.jpeg 1255,50678
stems.eps.gz 1256,50716
stems.eps 1257,50758
concat-stems 1261,50890
graphic_source_extensions 1264,51020
graphic_source_extensions +=graphic_source_extensions +1272,51164
graphic_target_extensions 1273,51206
graphic_source_extensions +=graphic_source_extensions +1277,51294
graphic_target_extensions 1278,51327
graphic_source_extensions +=graphic_source_extensions +1282,51432
graphic_target_extensions 1283,51465
all_stems_source 1286,51526
all_stems_script 1287,51575
all_stems_graphic 1288,51645
all_stems_ss 1289,51720
all_stems_sg 1290,51785
all_stems_ssg 1291,51830
default_stems_source 1293,51873
default_stems_script 1294,51930
default_stems_ss 1295,52008
default_stems_sg 1296,52084
default_stems_ssg 1297,52136
stems_source 1299,52186
stems_script 1300,52228
stems_graphic 1301,52291
stems_gg 1302,52359
stems_ss 1303,52397
stems_sg 1304,52450
stems_ssg 1305,52487
allowed_source_suffixes 1310,52699
allowed_source_patterns 1323,52828
allowed_graphic_suffixes 1325,52900
allowed_graphic_patterns 1330,52967
allowed_source_targets 1333,53081
allowed_graphic_targets 1338,53232
allowed_batch_source_targets 1343,53401
allowed_batch_graphic_targets 1355,53594
real_goals 1362,53765
specified_source_targets 1365,53849
specified_batch_source_targets 1369,53957
specified_graphic_targets 1373,54064
specified_batch_graphic_targets 1377,54161
specified_gpi_targets 1381,54270
source_stems_to_include 1391,54843
graphic_stems_to_include 1404,55286
all_pdf_targets 1415,55569
all_ps_targets 1416,55620
all_dvi_targets 1417,55669
all_tex_targets 1418,55720
all_d_targets 1419,55770
all_graphics_targets 1420,55817
all_pstex_targets 1421,55896
all_dot2tex_targets 1422,55952
all_known_graphics 1424,56009
default_pdf_targets 1426,56107
default_ps_targets 1429,56211
default_dvi_targets 1430,56270
pre_pdf_extensions 1431,56331
rm_ext 1435,56444
backup_patterns 1438,56609
graph_stem 1440,56665
rm_tex 1444,56743
gpi_sed 1456,57351
gpi_global 1458,57431
-e 's/[[:-e 's/[[1474,57882
-e ':-e '1482,58100
-e 's!.*!$2:-e 's!.*!$21483,58119
-e '/^:-e '/^1504,58469
-e ' s//:-e ' s//1505,58497
-e '/^:-e '/^1510,58559
-e ' s//:-e ' s//1511,58576
-e ':-e '1515,58630
-e 's/^/:-e 's/^/1516,58650
-e ':-e '1520,58695
-e 's/^/:-e 's/^/1521,58715
-e ':-e '1525,58761
-e 's/^/:-e 's/^/1526,58783
-e ':-e '1530,58830
-e '/^! LaTeX Error:-e '/^! LaTeX Error1531,58844
-e '/^:-e '/^1534,58909
-e ' /Default extension:-e ' /Default extension1536,58948
-e ' s/[[:-e ' s/[[1538,59035
-e ' s/[[:-e ' s/[[1540,59088
-e ' s!^.*!$2:-e ' s!^.*!$21546,59239
-e '/^File:-e '/^File1598,61235
-e '/^:-e '/^1616,61522
-e ' s//:-e ' s//1617,61550
-e '/^:-e '/^1622,61612
-e ' s//:-e ' s//1623,61629
-e ':-e '1627,61683
-e 's/^/:-e 's/^/1628,61703
-e ':-e '1632,61748
-e 's/^/:-e 's/^/1633,61768
-e ':-e '1637,61814
-e 's/^/:-e 's/^/1638,61836
-e ':-e '1642,61883
-e '/^[^[:-e '/^[^[1643,61897
-e '/^:-e '/^1647,62011
-e ' s/^:-e ' s/^1649,62070
-e ' s/[[:-e ' s/[[1653,62152
-e ' s/'"'"' not found\..*extensions:-e ' s/'"'"' not found\..*extensions1655,62208
-e ' s/\(.*\)-e ' s/\(.*\1657,62289
-e ' s/:-e ' s/1660,62434
-e ':-e '1664,62494
-e 's/[[:-e 's/[[1665,62513
-e 's!.*!$1.d:-e 's!.*!$1.d1670,62601
-e 's!.*!$1.$(build_target_extension) $1._graphics:-e 's!.*!$1.$(build_target_extension) $1._graphics1674,62681
if $(EGREP) -q '^! LaTeX Error:if $(EGREP) -q '^! LaTeX Error1684,62934
if $(EGREP) -q ' LaTeX Error:if $(EGREP) -q ' LaTeX Error1708,63730
-e 's/^No file \(.*\.ind\)\.$$/TARGETS=-e 's/^No file \(.*\.ind\)\.$$/TARGETS1736,64687
-e 's/^No file \(.*\.[gn]ls\)\.$$/TARGETS=-e 's/^No file \(.*\.[gn]ls\)\.$$/TARGETS1737,64733
-e 's/[[:-e 's/[[1738,64782
-e '/^TARGETS=-e '/^TARGETS1739,64809
-e ' s!^TARGETS=-e ' s!^TARGETS1741,64840
-e ' s!^TARGETS=-e ' s!^TARGETS1743,64879
-e 's/[[:-e 's/[[1770,65858
-e 's!^!$2:-e 's!^!$21775,65975
$(ECHO) '# vim:$(ECHO) '# vim1798,66503
$(ECHO) 'INCLUDED_$(call cleanse-filename,$2)$(ECHO) 'INCLUDED_$(call cleanse-filename,$21800,66599
$(call get-gpi-deps,$1,$(addprefix $(2:$(call get-gpi-deps,$1,$(addprefix $(21801,66660
-e '/^[[:-e '/^[[1819,67446
-e ' s/^[[:-e ' s/^[[1825,67574
-e ' s/[[:-e ' s/[[1826,67652
-e ' s/.*:-e ' s/.*1829,67860
-e ' s!.*!$2:-e ' s!.*!$21830,67936
-e 's/^[[:-e 's/^[[1835,67997
-e '/^:-e '/^1869,68949
-e ' s//:-e ' s//1870,68977
-e '/^:-e '/^1875,69039
-e ' s//:-e ' s//1876,69056
-e ':-e '1880,69110
-e 's/^/:-e 's/^/1881,69130
-e ':-e '1885,69175
-e 's/^/:-e 's/^/1886,69195
-e ':-e '1890,69241
-e 's/^/:-e 's/^/1891,69263
-e ':-e '1895,69310
-e '/^! LaTeX Error:-e '/^! LaTeX Error1896,69324
-e 's/^[^[:-e 's/^[^[1900,69405
-e 's/^\(.*\n\)\([^[:-e 's/^\(.*\n\)\([^[1901,69456
-e '/^!!! .* LaTeX Error:-e '/^!!! .* LaTeX Error1902,69525
-e '/^:-e '/^1906,69611
-e ' s/^:-e ' s/^1908,69669
-e ' s/^:-e ' s/^1911,69727
-e ' s/^\(.*not found.\).*Enter file name:-e ' s/^\(.*not found.\).*Enter file name1912,69749
-e '/^:-e '/^1915,69875
-e ' s/^:-e ' s/^1917,69937
-e ' s/:-e ' s/1920,69995
-e ' /could not locate.*any of these extensions:-e ' /could not locate.*any of these extensions1921,70018
-e '/^\(.* LaTeX Error:-e '/^\(.* LaTeX Error1927,70156
-e '/.*\(!!! .*Undefined control sequence\)[^[:-e '/.*\(!!! .*Undefined control sequence\)[^[1931,70303
-e ' s//\1:-e ' s//\11932,70371
-e ' s/\nl\.[[:-e ' s/\nl\.[[1933,70391
-e '/^\(!pdfTeX error:-e '/^\(!pdfTeX error1936,70485
-e ' s/[[:-e ' s/[[1941,70584
-e ' s/[[:-e ' s/[[1942,70609
-e ':-e '1946,70671
-e 's/^xindy:-e 's/^xindy1969,71085
-e '/^Error:-e '/^Error1979,71265
-e ' /^Execution stack:-e ' /^Execution stack1980,71303
-e '/, line [0-9]*:-e '/, line [0-9]*1993,71524
-e '/, line [0-9]*:-e '/, line [0-9]*1999,71624
-e '/^Error:-e '/^Error2028,72277
-e 's/^Warning:-e 's/^Warning2029,72333
-e 's![.:-e 's![.2042,72657
-e 's!.*!\\:-e 's!.*!\\2044,72694
color_tex 2085,73738
-e ' s/[[:-e ' s/[[2102,74048
-e ' / *LaTeX Error:-e ' / *LaTeX Error2107,74233
-e ' s/.*\( *LaTeX Error:-e ' s/.*\( *LaTeX Error2108,74262
-e ' /.*Warning:-e ' /.*Warning2111,74350
-e ' -e '2124,74672
color_bib 2129,74731
-e '/---/,/^.[^:-e '/---/,/^.[^2133,74811
-e ' /^.[^:-e ' /^.[^2135,74845
enlarge_beamer 2150,75167
test-run-again 2153,75263
| $(EGREP) -q '^(.*Rerun .*|No file $1\.[^.]+\.|No file .+\.tex\.|LaTeX Warning:| $(EGREP) -q '^(.*Rerun .*|No file $1\.[^.]+\.|No file .+\.tex\.|LaTeX Warning2162,75591
run-latex 2168,75760
latex-color-log 2171,75903
success=2175,76028
[ "$$success" [ "$$success"2182,76218
success=2188,76347
if ! $(XINDY) -q -o $2 -L $(XINDYLANG) -C $(XINDYENC) -I xindy -M $3 -t $4 $1 > /dev/null || $(EGREP) -q '^xindy:if ! $(XINDY) -q -o $2 -L $(XINDYLANG) -C $(XINDYENC) -I xindy -M $3 -t $4 $1 > /dev/null || $(EGREP) -q '^xindy2189,76360
[ "$$success" [ "$$success"2194,76561
[ ! -e '$2.cookie' ] && $(ECHO) "restarts=[ ! -e '$2.cookie' ] && $(ECHO) "restarts2203,76857
restarts=2204,76972
level=2205,77027
if $(EXPR) $(MAKELEVEL) '<=if $(EXPR) $(MAKELEVEL) '<2206,77076
run-bibtex 2217,77397
$(EPSTOPDF) '$1.cookie' --outfile=$(EPSTOPDF) '$1.cookie' --outfile2224,77705
default-gpi-fontsize 2232,77943
$(strip $(if $2,monochrome,$(if $(shell $(EGREP) '^\#\#[[:$(strip $(if $2,monochrome,$(if $(shell $(EGREP) '^\#\#[[2248,78537
gpi-font-entry 2255,78862
fnames=2289,79841
success=2294,79964
[ "$$success" [ "$$success"2307,80336
$(CONVERT) $(if $3,-type Grayscale,) '$1' eps2:$(CONVERT) $(if $3,-type Grayscale,) '$1' eps22334,81070
convert-fig 2339,81224
convert-fig-pstex 2343,81400
convert-fig-pstex-t 2347,81578
convert-dot-tex 2351,81745
convert-svg 2356,81882
convert-xvg 2361,82074
convert-epsgz 2366,82263
convert-eps 2371,82470
gray_eps_file 2374,82600
make-ps 2497,86948
make-pdf 2503,87189
echo-build 2508,87380
echo-graphic 2509,87452
echo-dep 2510,87513
echo-list 2514,87626
.PHONY:.PHONY2520,87697
all:all2521,87709
.PHONY:.PHONY2523,87740
all-pdf:all-pdf2524,87756
.PHONY:.PHONY2527,87833
all-ps:all-ps2528,87848
.PHONY:.PHONY2530,87881
all-dvi:all-dvi2531,87897
.PHONY:.PHONY2537,87959
show:show2538,87972
source_includes 2546,88089
graphic_includes 2547,88151
.PHONY:.PHONY2575,89162
$(default_stems_ss)$(default_stems_ss2576,89190
.PHONY:.PHONY2579,89267
$(addsuffix ._show,$(stems_ssg)$(addsuffix ._show,$(stems_ssg2580,89308
.SECONDARY:.SECONDARY2584,89426
%.pdf:%.pdf2585,89457
.SECONDARY:.SECONDARY2600,89883
%.ps:%.ps2601,89913
.SECONDARY:.SECONDARY2660,91834
%.$(build_target_extension)%.$(build_target_extension2662,91871
%.bbl:%.bbl2726,93989
%.ind:%.ind2753,95068
%.gls:%.gls2758,95202
%.gls:%.gls2763,95380
%.gls:%.gls2768,95535
%.nls:%.nls2773,95688
.SECONDARY:.SECONDARY2780,95901
%.tex:%.tex2782,95933
%.tex:%.tex2785,95994
%.tex:%.tex2788,96056
%.tex:%.tex2791,96116
.PHONY:.PHONY2800,96314
all-graphics:all-graphics2801,96335
.PHONY:.PHONY2804,96417
all-pstex:all-pstex2805,96435
.PHONY:.PHONY2808,96475
all-dot2tex:all-dot2tex2809,96495
.PHONY:.PHONY2811,96533
show-graphics:show-graphics2812,96555
$(gray_eps_file)$(gray_eps_file2815,96624
%.pdf:%.pdf2820,96763
%.pdf:%.pdf2825,96940
%.pdf:%.pdf2830,97072
%.pdf:%.pdf2834,97165
%.pdf:%.pdf2840,97308
%.pdf:%.pdf2845,97485
%.pdf:%.pdf2850,97617
%.eps:%.eps2857,97718
%.eps:%.eps2861,97844
%.eps:%.eps2865,97937
%.eps:%.eps2869,98068
%.eps:%.eps2876,98384
%.eps:%.eps2882,98592
%.eps:%.eps2886,98716
%.eps:%.eps2890,98841
%.eps:%.eps2895,98971
%.pstex:%.pstex2899,99100
%.pstex_t:%.pstex_t2903,99201
%.dot_t:%.dot_t2907,99323
%.$(build_target_extension).1st.make %.d %.aux %.aux.make %.fls:%.$(build_target_extension).1st.make %.d %.aux %.aux.make %.fls2950,100723
.SECONDARY:.SECONDARY2980,102123
%.auxbbl.make:%.auxbbl.make2981,102174
%.gpi.d:%.gpi.d2990,102554
%.paper.make:%.paper.make2999,102928
%.embed.make:%.embed.make3028,103676
.PHONY:.PHONY3037,103846
_all_programs:_all_programs3038,103868
.PHONY:.PHONY3042,103973
_check_programs:_check_programs3043,103997
.PHONY:.PHONY3072,104750
_check_gpi_files:_check_gpi_files3073,104775
.PHONY:.PHONY3088,105210
_all_stems:_all_stems3089,105229
.PHONY:.PHONY3093,105332
_includes:_includes3094,105350
.PHONY:.PHONY3101,105581
_all_sources:_all_sources3102,105602
.PHONY:.PHONY3106,105706
_dependency_graph:_dependency_graph3107,105732
.PHONY:.PHONY3111,105841
_show_dependency_graph:_show_dependency_graph3112,105872
.PHONY:.PHONY3118,106118
_sources:_sources3119,106135
.PHONY:.PHONY3123,106227
_scripts:_scripts3124,106244
.PHONY:.PHONY3128,106340
_graphic_outputs:_graphic_outputs3129,106365
.PHONY:.PHONY3133,106484
_env:_env3134,106497
.PHONY:.PHONY3150,107020
clean-generated:clean-generated3151,107044
.PHONY:.PHONY3155,107190
clean-deps:clean-deps3156,107209
.PHONY:.PHONY3159,107296
clean-tex:clean-tex3160,107314
.PHONY:.PHONY3163,107376
clean-graphics:clean-graphics3170,107814
.PHONY:.PHONY3173,107918
clean-backups:clean-backups3174,107940
.PHONY:.PHONY3177,108011
clean-auxiliary:clean-auxiliary3178,108035
.PHONY:.PHONY3181,108098
clean-nographics:clean-nographics3182,108123
.PHONY:.PHONY3184,108195
clean:clean3185,108209
.PHONY:.PHONY3191,108321
help:help3192,108334
.PHONY:.PHONY3195,108355
version:version3196,108371
.PHONY:.PHONY3887,134631
my_docs/beamer/beamerthemeTACC16.sty,186
\newcommand{\event}\event55,1366
\def\TACC@eventname{\TACC@eventname57,1408
\newcommand{\sectionframe}\sectionframe60,1452
\newcommand{\subsectionframe}\subsectionframe61,1521
bin/syncMe,18
SCRIPT_NAME=3,35
Makefile,183
DATE_cmd 1,0
VDATE 2,20