-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathn3twork.class.violet.html
2805 lines (2805 loc) · 200 KB
/
n3twork.class.violet.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
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
<HTML>
<HEAD>
<META name="description"
content="Violet UML Editor cross format document" />
<META name="keywords" content="Violet, UML" />
<META charset="UTF-8" />
<SCRIPT type="text/javascript">
function switchVisibility() {
var obj = document.getElementById("content");
obj.style.display = (obj.style.display == "block") ? "none" : "block";
}
</SCRIPT>
</HEAD>
<BODY>
This file was generated with Violet UML Editor 2.0.1.
( <A href=# onclick="switchVisibility()">View Source</A> / <A href="http://sourceforge.net/projects/violet/files/violetumleditor/" target="_blank">Download Violet</A> )
<BR />
<BR />
<SCRIPT id="content" type="text/xml"><![CDATA[<ClassDiagramGraph id="1">
<nodes id="2">
<ClassNode id="3">
<children id="4"/>
<location class="Point2D.Double" id="5" x="510.0" y="10.0"/>
<id id="6" value="bafe9410-6f52-4950-8508-909f9a4086b3"/>
<revision>1</revision>
<backgroundColor id="7">
<red>255</red>
<green>255</green>
<blue>255</blue>
<alpha>255</alpha>
</backgroundColor>
<borderColor id="8">
<red>0</red>
<green>0</green>
<blue>0</blue>
<alpha>255</alpha>
</borderColor>
<textColor reference="8"/>
<name id="9" justification="1" size="3" underlined="false">
<text>User</text>
</name>
<attributes id="10" justification="0" size="4" underlined="false">
<text>id: Int
name: String
uname: String
email: String
password: String
otherProperties: Dict
sessionIDs: List
friends: List
groups: Group[]
posts: Post[]
messages: Message[]</text>
</attributes>
<methods id="11" justification="0" size="4" underlined="false">
<text>init(uname: String, email: String, pw: String, otherProperties = NULL)
login() -> sessionID: string
logout() -> worked: bool
getID() -> ID: int
getName() -> name: String
setName(name: String)
getUname() -> uname: String
getEmail() -> email: String
setEmail(email: String)
checkPassword(pw: String) -> right: Bool
setPassword(pw: String)
getOtherProperty() -> otherProperty: Object
setOtherProperty(key: String, value: Object)
getSessionIDs() -> sessionIDs: List
checkSessionID(id: String) -> right:bool
getFriends() -> friends: User[]
addFriend(user: User)
getGroups() -> groups: Group[]
addGroup(group: Group)
getPosts() -> posts: Post[]
addPost(post: Post)
votePost(post: Post)
getMessages() -> m: Message[]
sendMessage(m: Message)
deleteMessage(m: Message)
readMessage(m: Message)
delUser() -> success: Bool</text>
</methods>
</ClassNode>
<ClassNode id="12">
<children id="13"/>
<location class="Point2D.Double" id="14" x="990.0" y="120.0"/>
<id id="15" value="3611035e-38af-4c07-94a5-6c22b9c109a6"/>
<revision>1</revision>
<backgroundColor reference="7"/>
<borderColor reference="8"/>
<textColor reference="8"/>
<name id="16" justification="1" size="3" underlined="false">
<text>Group</text>
</name>
<attributes id="17" justification="0" size="4" underlined="false">
<text>id: Int
name: String
desc: String
users: User[]
owner: User
otherProperties: Dict</text>
</attributes>
<methods id="18" justification="0" size="4" underlined="false">
<text>init(name: String, desc: String, owner: User, otherProperties = NULL)
getName() -> name: String
getDescr() -> desc: String
setDescr(desc: String)
getOwner() -> owner: User
- setOwner(owner: User)
getUsers() -> users: User[]
addUser(user: User)
removeUser(user: User)
getOtherProperty() -> otherProperty: Object
setOtherProperty(key: String, value: Object)</text>
</methods>
</ClassNode>
<ClassNode id="19">
<children id="20"/>
<location class="Point2D.Double" id="21" x="20.0" y="350.0"/>
<id id="22" value="b60246ce-c792-4920-879e-4093a4fc7cf8"/>
<revision>1</revision>
<backgroundColor reference="7"/>
<borderColor reference="8"/>
<textColor reference="8"/>
<name id="23" justification="1" size="3" underlined="false">
<text>Message</text>
</name>
<attributes id="24" justification="0" size="4" underlined="false">
<text>id: Int
sender: User
reciever: User[]
subject: String
content: String
sendDate: Date
read: Dict(user: User, read: Bool)</text>
</attributes>
<methods id="25" justification="0" size="4" underlined="false">
<text>init(sender: User, receiver: User[], subject: String, content: String)
getSender() -> sender: User
getReceiver() -> receiver: User[]
getSubject() -> subj: String
getContent() -> c: String
getSendDate() -> d: Date
getRead() -> readState: Dict(user: User, read: Bool)
setRead(user: User)</text>
</methods>
</ClassNode>
<ClassNode id="26">
<children id="27"/>
<location class="Point2D.Double" id="28" x="20.0" y="20.0"/>
<id id="29" value="6cd54f38-27ff-4921-a959-2b18d32b04bd"/>
<revision>1</revision>
<backgroundColor reference="7"/>
<borderColor reference="8"/>
<textColor reference="8"/>
<name id="30" justification="1" size="3" underlined="false">
<text>Post</text>
</name>
<attributes id="31" justification="0" size="4" underlined="false">
<text>id: Int
owner: User
title: String
content: String
postDate: Date
visibility: Bool
upVotes: Dict(user: User, voteDate: Date)</text>
</attributes>
<methods id="32" justification="0" size="4" underlined="false">
<text>init(owner: User, title: String, content: String, visi: Bool)
getOwner() -> owner: User
getTitle() -> title: String
setTitle(title: String)
getContent() -> content: String
setContent(content: String)
getPostDate() -> postDate: Date
setPostDate(postDate: Date)
getVisibility() -> visi: Bool
setVisibility(visi: Bool)
getUpVotes() -> Dict
addUpVote(user: User)</text>
</methods>
</ClassNode>
<ClassNode id="33">
<children id="34"/>
<location class="Point2D.Double" id="35" x="1040.0" y="530.0"/>
<id id="36" value="f5cb357d-06d1-4788-bc4e-6ec75a127a97"/>
<revision>1</revision>
<backgroundColor reference="7"/>
<borderColor reference="8"/>
<textColor reference="8"/>
<name id="37" justification="1" size="3" underlined="false">
<text>DataBaseConnection</text>
</name>
<attributes id="38" justification="0" size="4" underlined="false">
<text>host: String
user: String
passwd: md5
database: String</text>
</attributes>
<methods id="39" justification="0" size="4" underlined="false">
<text>connect()
query() -> result
</text>
</methods>
</ClassNode>
<InterfaceNode id="40">
<children id="41"/>
<location class="Point2D.Double" id="42" x="1240.0" y="570.0"/>
<id id="43" value="655a25d5-f478-4ed0-b5c5-c3bac109858a"/>
<revision>1</revision>
<backgroundColor class="javax.swing.plaf.ColorUIResource" id="44">
<value>-1</value>
<falpha>0.0</falpha>
</backgroundColor>
<borderColor class="javax.swing.plaf.ColorUIResource" id="45">
<value>-16777216</value>
<falpha>0.0</falpha>
</borderColor>
<textColor class="javax.swing.plaf.ColorUIResource" reference="45"/>
<name id="46" justification="1" size="3" underlined="false">
<text>DataBaseInterface</text>
</name>
<methods id="47" justification="0" size="4" underlined="false">
<text>DoSomeStuff()</text>
</methods>
</InterfaceNode>
</nodes>
<edges id="48">
<DependencyEdge id="49">
<start class="ClassNode" reference="19"/>
<end class="ClassNode" reference="3"/>
<startLocation class="Point2D.Double" id="50" x="100.0" y="60.0"/>
<endLocation class="Point2D.Double" id="51" x="110.0" y="130.0"/>
<transitionPoints id="52"/>
<id id="53" value="09ad22cd-5a95-4a18-8d67-37de8dd081bb"/>
<revision>1</revision>
<bentStyle id="54" name="AUTO"/>
<startLabel></startLabel>
<middleLabel></middleLabel>
<endLabel></endLabel>
</DependencyEdge>
<DependencyEdge id="55">
<start class="ClassNode" reference="12"/>
<end class="ClassNode" reference="3"/>
<startLocation class="Point2D.Double" id="56" x="70.0" y="90.0"/>
<endLocation class="Point2D.Double" id="57" x="120.0" y="110.0"/>
<transitionPoints id="58"/>
<id id="59" value="5e206713-9dde-4e81-80bf-1cb9cf744cd0"/>
<revision>1</revision>
<bentStyle reference="54"/>
<startLabel></startLabel>
<middleLabel></middleLabel>
<endLabel></endLabel>
</DependencyEdge>
<DependencyEdge id="60">
<start class="ClassNode" reference="26"/>
<end class="ClassNode" reference="3"/>
<startLocation class="Point2D.Double" id="61" x="50.0" y="60.0"/>
<endLocation class="Point2D.Double" id="62" x="130.0" y="150.0"/>
<transitionPoints id="63"/>
<id id="64" value="050e8c6f-a3d2-45b9-b0e7-0c76ad59f402"/>
<revision>1</revision>
<bentStyle reference="54"/>
<startLabel></startLabel>
<middleLabel></middleLabel>
<endLabel></endLabel>
</DependencyEdge>
<DependencyEdge id="65">
<start class="ClassNode" reference="3"/>
<end class="ClassNode" reference="26"/>
<startLocation class="Point2D.Double" id="66" x="80.0" y="110.0"/>
<endLocation class="Point2D.Double" id="67" x="80.0" y="60.0"/>
<transitionPoints id="68"/>
<id id="69" value="41ce0956-a746-491c-8674-f6c91e10b10b"/>
<revision>1</revision>
<bentStyle reference="54"/>
<startLabel></startLabel>
<middleLabel></middleLabel>
<endLabel></endLabel>
</DependencyEdge>
<AggregationEdge id="70">
<start class="ClassNode" reference="3"/>
<end class="ClassNode" reference="12"/>
<startLocation class="Point2D.Double" id="71" x="110.0" y="60.0"/>
<endLocation class="Point2D.Double" id="72" x="70.0" y="40.0"/>
<transitionPoints id="73"/>
<id id="74" value="cfa708f1-626b-4145-b326-1759673cc225"/>
<revision>1</revision>
<bentStyle reference="54"/>
<startLabel></startLabel>
<middleLabel></middleLabel>
<endLabel></endLabel>
</AggregationEdge>
<AggregationEdge id="75">
<start class="ClassNode" reference="3"/>
<end class="ClassNode" reference="19"/>
<startLocation class="Point2D.Double" id="76" x="120.0" y="430.0"/>
<endLocation class="Point2D.Double" id="77" x="70.0" y="30.0"/>
<transitionPoints id="78"/>
<id id="79" value="126ea0fc-d597-4af9-b64b-897913ae949f"/>
<revision>1</revision>
<bentStyle reference="54"/>
<startLabel></startLabel>
<middleLabel></middleLabel>
<endLabel></endLabel>
</AggregationEdge>
<DependencyEdge id="80">
<start class="InterfaceNode" reference="40"/>
<end class="ClassNode" reference="33"/>
<startLocation class="Point2D.Double" id="81" x="50.0" y="20.0"/>
<endLocation class="Point2D.Double" id="82" x="60.0" y="80.0"/>
<transitionPoints id="83"/>
<id id="84" value="a14e4919-d61b-4ed1-bf05-77d163e7139b"/>
<revision>1</revision>
<bentStyle reference="54"/>
<startLabel></startLabel>
<middleLabel></middleLabel>
<endLabel></endLabel>
</DependencyEdge>
</edges>
</ClassDiagramGraph>]]></SCRIPT>
<BR />
<BR />
<IMG alt="embedded diagram image" src="data:image/jpeg;base64,/9j/4AAQSkZJRgABAgAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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