-
Notifications
You must be signed in to change notification settings - Fork 0
/
circGuesser.nb
1111 lines (1100 loc) · 60.4 KB
/
circGuesser.nb
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
(* Content-type: application/vnd.wolfram.mathematica *)
(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)
(* CreatedBy='Mathematica 10.0' *)
(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[ 158, 7]
NotebookDataLength[ 61672, 1103]
NotebookOptionsPosition[ 61210, 1084]
NotebookOutlinePosition[ 61545, 1099]
CellTagsIndexPosition[ 61502, 1096]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell[TextData[{
"Coded by ",
StyleBox["Graham \[OpenCurlyDoubleQuote]The Code Master\
\[CloseCurlyDoubleQuote] Reynolds",
FontFamily->"Comic Sans MS",
FontSize->20,
FontSlant->"Italic",
FontVariations->{"Underline"->True}],
", Niven Achenjang, and Luke Miles in May 2016"
}], "Text",
CellChangeTimes->{{3.671689957851575*^9, 3.671690046138295*^9}, {
3.6716907413984756`*^9, 3.671690773237494*^9}, {3.671690887962926*^9,
3.671690892756102*^9}, {3.671690997280682*^9, 3.671691058971939*^9}}],
Cell[BoxData[{
RowBox[{
RowBox[{"range", "=",
RowBox[{"Range", "[", "300", "]"}]}], ";", " ",
RowBox[{"(*", " ",
RowBox[{
"List", " ", "of", " ", "possible", " ", "numbers", " ", "of", " ",
"circles"}], " ", "*)"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"{",
RowBox[{"min", ",", " ", "max"}], "}"}], "=",
RowBox[{"{",
RowBox[{
RowBox[{"Min", "@", "range"}], ",",
RowBox[{"Max", "@", "range"}]}], "}"}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"ourRange", "=",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"-", "1"}], ",",
RowBox[{"max", "+", "1"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{
RowBox[{"-", "1"}], ",",
RowBox[{"max", "+", "1"}]}], "}"}]}], "}"}]}],
";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"{",
RowBox[{"circTime", ",", " ", "blankTime", ",", " ", "numTime"}], "}"}],
"=",
RowBox[{"{",
RowBox[{"2.0", ",", "1.5", ",", "1.0"}], "}"}]}], ";", " ",
RowBox[{"(*", " ",
RowBox[{
RowBox[{"How", " ", "long", " ", "to", " ", "show", " ", "circles"}], ",",
" ",
RowBox[{"show", " ", "a", " ", "blank", " ", "screen"}], ",", " ",
RowBox[{"and", " ", "show", " ", "the", " ", "correct", " ", "answer"}]}],
" ", "*)"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"makeCirc", "[", "]"}], ":=",
RowBox[{"Disk", "[",
RowBox[{
RowBox[{"RandomReal", "[",
RowBox[{"max", ",", "2"}], "]"}], ",",
RowBox[{"RandomReal", "@",
RowBox[{"{",
RowBox[{
RowBox[{
RowBox[{"(",
RowBox[{"max", "+", "2"}], ")"}], "/", "24"}], ",", "1"}],
"}"}]}]}], "]"}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"drawCircs", "[", "n_", "]"}], ":=",
RowBox[{"Graphics", "[",
RowBox[{"{",
RowBox[{
RowBox[{"EdgeForm", "@", "Thick"}], ",", "Red", ",",
RowBox[{"Opacity", "@", ".5"}], ",", " ",
RowBox[{"Table", "[",
RowBox[{
RowBox[{"makeCirc", "[", "]"}], ",",
RowBox[{"{", "n", "}"}]}], "]"}]}], "}"}], "]"}]}],
";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"texts", "=",
RowBox[{
RowBox[{
RowBox[{"With", "[",
RowBox[{
RowBox[{"{",
RowBox[{"theCenter", "=",
RowBox[{"Mean", "/@", "ourRange"}]}], "}"}], ",",
"\[IndentingNewLine]",
RowBox[{"Graphics", "[",
RowBox[{"Text", "[",
RowBox[{
RowBox[{"Nest", "[",
RowBox[{
RowBox[{
RowBox[{"Style", "[",
RowBox[{"#", ",", "Larger"}], "]"}], "&"}], ",", "#", ",",
"15"}], "]"}], ",", "theCenter"}], "]"}], "]"}]}], "]"}], "&"}], "/@",
RowBox[{"Range", "@", "max"}]}]}], ";"}]}], "Input",
CellChangeTimes->{{3.671689069235025*^9, 3.671689072347639*^9}, {
3.741910008135771*^9, 3.741910026255156*^9}, {3.7419266819968643`*^9,
3.741926742575531*^9}, {3.742152706725775*^9, 3.7421527084782352`*^9}, {
3.7421528131425333`*^9, 3.742152814134282*^9}, {3.7421528534959917`*^9,
3.742152879968651*^9}, {3.742152928151615*^9, 3.742153004014361*^9}, {
3.742153051576901*^9, 3.7421530728932543`*^9}, {3.7421531118843946`*^9,
3.742153115412301*^9}, {3.768504827559256*^9, 3.768504857717163*^9}}],
Cell[CellGroupData[{
Cell[BoxData[{
RowBox[{
RowBox[{"RemoveScheduledTask", "@",
RowBox[{"ScheduledTasks", "[", "]"}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"DynamicModule", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"state", "=", "0"}], ",", "n", ",", "image", ",",
RowBox[{"dispTime", "=", "circTime"}]}], "}"}], ",",
"\[IndentingNewLine]",
RowBox[{
RowBox[{"RunScheduledTask", "[", "\[IndentingNewLine]",
RowBox[{
RowBox[{"Switch", "[",
RowBox[{"state", ",", "\[IndentingNewLine]", "0", ",",
RowBox[{
RowBox[{"n", "=",
RowBox[{"RandomChoice", "@", "range"}]}], ";",
RowBox[{"image", "=",
RowBox[{"drawCircs", "@", "n"}]}], ";",
RowBox[{"dispTime", "=", "circTime"}]}], ",", "\[IndentingNewLine]",
"1", ",",
RowBox[{
RowBox[{"image", "=",
RowBox[{"Graphics", "@", "White"}]}], ";",
RowBox[{"dispTime", "=", "blankTime"}]}], ",",
"\[IndentingNewLine]", "2", ",",
RowBox[{
RowBox[{"image", "=",
RowBox[{
"texts", "\[LeftDoubleBracket]", "n", "\[RightDoubleBracket]"}]}],
";",
RowBox[{"dispTime", "=", "numTime"}]}]}], "]"}], ";",
"\[IndentingNewLine]",
RowBox[{"state", "=",
RowBox[{"Mod", "[",
RowBox[{
RowBox[{"state", "+", "1"}], ",", "3"}], "]"}]}], ";",
"\[IndentingNewLine]",
RowBox[{"StopScheduledTask", "@", "$ScheduledTask"}], ";",
"\[IndentingNewLine]",
RowBox[{"StartScheduledTask", "@",
RowBox[{"ResetScheduledTask", "[",
RowBox[{"$ScheduledTask", ",", "dispTime", ",", "0"}], "]"}]}]}],
"]"}], ";", "\[IndentingNewLine]",
RowBox[{"Print", "@",
RowBox[{"Dynamic", "@",
RowBox[{"Show", "[",
RowBox[{"image", ",",
RowBox[{"PlotRange", "\[Rule]", "ourRange"}], ",",
RowBox[{"ImageSize", "\[Rule]", "Large"}]}], "]"}]}]}]}]}], "]"}],
";"}]}], "Input",
CellChangeTimes->{{3.671686344001171*^9, 3.6716863913630943`*^9}, {
3.6716864792261267`*^9, 3.671686567011546*^9}, 3.67168668730433*^9, {
3.671686806874414*^9, 3.6716868132932787`*^9}, {3.671686851572463*^9,
3.671686854475992*^9}, {3.671687065785296*^9, 3.671687074184643*^9}, {
3.671687505015233*^9, 3.671687552206822*^9}, {3.671687792481225*^9,
3.671687820261363*^9}, {3.671687874192868*^9, 3.671687948522931*^9},
3.671688002636887*^9, {3.6716880869291277`*^9, 3.671688098490041*^9},
3.671688130610702*^9, {3.6716882922090073`*^9, 3.6716883044286423`*^9}, {
3.671688751428433*^9, 3.67168875576511*^9}, {3.671689066552568*^9,
3.671689076827145*^9}, {3.671689152285009*^9, 3.6716892323614893`*^9}, {
3.67168926717738*^9, 3.6716893356033163`*^9}, 3.6716894027644987`*^9, {
3.671689473642991*^9, 3.671689547673133*^9}, {3.6716895816555967`*^9,
3.671689675571479*^9}, {3.671690407129695*^9, 3.671690409053967*^9}, {
3.67169049277387*^9, 3.671690501020134*^9}, {3.7419098123926153`*^9,
3.741909814170662*^9}, {3.7419098765975657`*^9, 3.74190987707308*^9}, {
3.7419099140085793`*^9, 3.741909919006151*^9}, {3.74191003385894*^9,
3.7419100353292713`*^9}, {3.741926769072942*^9, 3.7419267891777763`*^9}, {
3.742153078172162*^9, 3.742153095518345*^9}}],
Cell[BoxData[
DynamicBox[ToBoxes[
Show[$CellContext`image$1659, PlotRange -> $CellContext`ourRange,
ImageSize -> Large], StandardForm],
ImageSizeCache->{576., {285., 291.}}]], "Print",
CellChangeTimes->{{3.6716865229331017`*^9, 3.671686532717692*^9}, {
3.671686568565413*^9, 3.671686576879579*^9}, 3.671686687750411*^9,
3.671686816281781*^9, 3.6716868551015997`*^9, 3.671687076257317*^9, {
3.671687526844779*^9, 3.6716875648453817`*^9}, {3.67168785268847*^9,
3.671687954490836*^9}, {3.671688099230701*^9, 3.6716881354921923`*^9},
3.671688304963338*^9, 3.671688757449757*^9, {3.671689038399393*^9,
3.671689102629992*^9}, 3.671689238071534*^9, 3.671689335944851*^9,
3.671689404865973*^9, {3.6716895928084497`*^9, 3.671689602643702*^9}, {
3.671689639880272*^9, 3.671689706182732*^9}, 3.67169006577437*^9,
3.671690409857255*^9, 3.67169050241145*^9, 3.741909387469162*^9,
3.7419098165161858`*^9, {3.741909880497913*^9, 3.741909890457645*^9}, {
3.741926775488778*^9, 3.741926789663225*^9}, 3.741983530912883*^9,
3.742152670851451*^9, {3.742152819828738*^9, 3.742152881922991*^9},
3.742152931463085*^9, {3.742153096928543*^9, 3.7421531177787647`*^9},
3.76850480991393*^9},ImageCache->GraphicsData["CompressedBitmap", "\<\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