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没遇到过的一道在Python字节码当中加花指令的题目，所以决定复现一下
题目直接给了pyc文件，我用pycdc反编译会报错，用在线的反编译网站也不行
我们就查看pyc的字节码，要用3.8版本，不然不准确
import marshal, dis
f = open("BabyMaze.pyc", "rb").read()
code = marshal.loads(f[16:]) #这边从16位开始取因为是python3 python2从8位开始取
dis.dis(code)之前写过一篇博客学习pyc和marshal模块的关系
pyc与marshal – Arnold’s Blog (arnold66.top)
得到以下字节码
0 JUMP_ABSOLUTE 4
>> 2 JUMP_ABSOLUTE 6
>> 4 JUMP_ABSOLUTE 2
>> 6 LOAD_CONST 0 (1)
8 LOAD_CONST 0 (1)
10 LOAD_CONST 0 (1)
12 LOAD_CONST 0 (1)
14 LOAD_CONST 0 (1)
16 LOAD_CONST 0 (1)
18 LOAD_CONST 0 (1)
20 LOAD_CONST 0 (1)
22 LOAD_CONST 0 (1)
24 LOAD_CONST 0 (1)
26 LOAD_CONST 0 (1)
28 LOAD_CONST 0 (1)
30 LOAD_CONST 0 (1)
32 LOAD_CONST 0 (1)
34 LOAD_CONST 0 (1)
36 LOAD_CONST 0 (1)
38 LOAD_CONST 0 (1)
40 LOAD_CONST 0 (1)
42 LOAD_CONST 0 (1)
44 LOAD_CONST 0 (1)
46 LOAD_CONST 0 (1)
48 LOAD_CONST 0 (1)
50 LOAD_CONST 0 (1)
52 LOAD_CONST 0 (1)
54 LOAD_CONST 0 (1)
56 LOAD_CONST 0 (1)
58 LOAD_CONST 0 (1)
60 LOAD_CONST 0 (1)
62 LOAD_CONST 0 (1)
64 LOAD_CONST 0 (1)
66 LOAD_CONST 0 (1)
68 BUILD_LIST 31
70 LOAD_CONST 0 (1)
72 LOAD_CONST 1 (5)
74 LOAD_CONST 0 (1)
76 LOAD_CONST 2 (0)
78 LOAD_CONST 2 (0)
80 LOAD_CONST 2 (0)
82 LOAD_CONST 2 (0)
84 LOAD_CONST 2 (0)
86 LOAD_CONST 2 (0)
88 LOAD_CONST 2 (0)
90 LOAD_CONST 2 (0)
92 LOAD_CONST 2 (0)
94 LOAD_CONST 2 (0)
96 LOAD_CONST 2 (0)
98 LOAD_CONST 2 (0)
100 LOAD_CONST 2 (0)
102 LOAD_CONST 2 (0)
104 LOAD_CONST 2 (0)
106 LOAD_CONST 2 (0)
108 LOAD_CONST 2 (0)
110 LOAD_CONST 0 (1)
112 LOAD_CONST 2 (0)
114 LOAD_CONST 2 (0)
116 LOAD_CONST 2 (0)
118 LOAD_CONST 2 (0)
120 LOAD_CONST 2 (0)
122 LOAD_CONST 2 (0)
124 LOAD_CONST 2 (0)
126 LOAD_CONST 2 (0)
128 LOAD_CONST 2 (0)
130 LOAD_CONST 0 (1)
132 BUILD_LIST 31
134 LOAD_CONST 0 (1)
136 LOAD_CONST 2 (0)
138 LOAD_CONST 0 (1)
140 LOAD_CONST 2 (0)
142 LOAD_CONST 0 (1)
144 LOAD_CONST 0 (1)
146 LOAD_CONST 0 (1)
148 LOAD_CONST 0 (1)
150 LOAD_CONST 0 (1)
152 LOAD_CONST 0 (1)
154 LOAD_CONST 0 (1)
156 LOAD_CONST 0 (1)
158 LOAD_CONST 0 (1)
160 LOAD_CONST 2 (0)
162 LOAD_CONST 0 (1)
164 LOAD_CONST 0 (1)
166 LOAD_CONST 0 (1)
168 LOAD_CONST 0 (1)
170 LOAD_CONST 0 (1)
172 LOAD_CONST 2 (0)
174 LOAD_CONST 0 (1)
176 LOAD_CONST 2 (0)
178 LOAD_CONST 0 (1)
180 LOAD_CONST 0 (1)
182 LOAD_CONST 0 (1)
184 LOAD_CONST 0 (1)
186 LOAD_CONST 0 (1)
188 LOAD_CONST 0 (1)
190 LOAD_CONST 0 (1)
192 LOAD_CONST 2 (0)
194 LOAD_CONST 0 (1)
196 BUILD_LIST 31
198 LOAD_CONST 0 (1)
200 LOAD_CONST 2 (0)
202 LOAD_CONST 0 (1)
204 LOAD_CONST 2 (0)
206 LOAD_CONST 2 (0)
208 LOAD_CONST 2 (0)
210 LOAD_CONST 0 (1)
212 LOAD_CONST 2 (0)
214 LOAD_CONST 2 (0)
216 LOAD_CONST 2 (0)
218 LOAD_CONST 2 (0)
220 LOAD_CONST 2 (0)
222 LOAD_CONST 2 (0)
224 LOAD_CONST 2 (0)
226 LOAD_CONST 0 (1)
228 LOAD_CONST 2 (0)
230 LOAD_CONST 2 (0)
232 LOAD_CONST 2 (0)
234 LOAD_CONST 0 (1)
236 LOAD_CONST 2 (0)
238 LOAD_CONST 2 (0)
240 LOAD_CONST 2 (0)
242 LOAD_CONST 0 (1)
244 LOAD_CONST 2 (0)
246 LOAD_CONST 0 (1)
248 LOAD_CONST 2 (0)
250 LOAD_CONST 2 (0)
252 LOAD_CONST 2 (0)
254 LOAD_CONST 0 (1)
256 LOAD_CONST 2 (0)
258 LOAD_CONST 0 (1)
260 BUILD_LIST 31
262 LOAD_CONST 0 (1)
264 LOAD_CONST 2 (0)
266 LOAD_CONST 0 (1)
268 LOAD_CONST 0 (1)
270 LOAD_CONST 0 (1)
272 LOAD_CONST 0 (1)
274 LOAD_CONST 0 (1)
276 LOAD_CONST 2 (0)
278 LOAD_CONST 0 (1)
280 LOAD_CONST 0 (1)
282 LOAD_CONST 0 (1)
284 LOAD_CONST 0 (1)
286 LOAD_CONST 0 (1)
288 LOAD_CONST 0 (1)
290 LOAD_CONST 0 (1)
292 LOAD_CONST 0 (1)
294 LOAD_CONST 0 (1)
296 LOAD_CONST 2 (0)
298 LOAD_CONST 0 (1)
300 LOAD_CONST 0 (1)
302 LOAD_CONST 0 (1)
304 LOAD_CONST 0 (1)
306 LOAD_CONST 0 (1)
308 LOAD_CONST 2 (0)
310 LOAD_CONST 0 (1)
312 LOAD_CONST 2 (0)
314 LOAD_CONST 0 (1)
316 LOAD_CONST 2 (0)
318 LOAD_CONST 0 (1)
320 LOAD_CONST 2 (0)
322 LOAD_CONST 0 (1)
324 BUILD_LIST 31
326 LOAD_CONST 0 (1)
328 LOAD_CONST 2 (0)
330 LOAD_CONST 2 (0)
332 LOAD_CONST 2 (0)
334 LOAD_CONST 0 (1)
336 LOAD_CONST 2 (0)
338 LOAD_CONST 2 (0)
340 LOAD_CONST 2 (0)
342 LOAD_CONST 0 (1)
344 LOAD_CONST 2 (0)
346 LOAD_CONST 2 (0)
348 LOAD_CONST 2 (0)
350 LOAD_CONST 2 (0)
352 LOAD_CONST 2 (0)
354 LOAD_CONST 2 (0)
356 LOAD_CONST 2 (0)
358 LOAD_CONST 2 (0)
360 LOAD_CONST 2 (0)
362 LOAD_CONST 2 (0)
364 LOAD_CONST 2 (0)
366 LOAD_CONST 2 (0)
368 LOAD_CONST 2 (0)
370 LOAD_CONST 0 (1)
372 LOAD_CONST 2 (0)
374 LOAD_CONST 2 (0)
376 LOAD_CONST 2 (0)
378 LOAD_CONST 0 (1)
380 LOAD_CONST 2 (0)
382 LOAD_CONST 2 (0)
384 LOAD_CONST 2 (0)
386 LOAD_CONST 0 (1)
388 BUILD_LIST 31
390 LOAD_CONST 0 (1)
392 LOAD_CONST 0 (1)
394 LOAD_CONST 0 (1)
396 LOAD_CONST 2 (0)
398 LOAD_CONST 0 (1)
400 LOAD_CONST 2 (0)
402 LOAD_CONST 0 (1)
404 LOAD_CONST 0 (1)
406 LOAD_CONST 0 (1)
408 LOAD_CONST 2 (0)
410 LOAD_CONST 0 (1)
412 LOAD_CONST 0 (1)
414 LOAD_CONST 0 (1)
416 LOAD_CONST 0 (1)
418 LOAD_CONST 0 (1)
420 LOAD_CONST 0 (1)
422 LOAD_CONST 0 (1)
424 LOAD_CONST 0 (1)
426 LOAD_CONST 0 (1)
428 LOAD_CONST 0 (1)
430 LOAD_CONST 0 (1)
432 LOAD_CONST 0 (1)
434 LOAD_CONST 0 (1)
436 LOAD_CONST 2 (0)
438 LOAD_CONST 0 (1)
440 LOAD_CONST 0 (1)
442 LOAD_CONST 0 (1)
444 LOAD_CONST 0 (1)
446 LOAD_CONST 0 (1)
448 LOAD_CONST 0 (1)
450 LOAD_CONST 0 (1)
452 BUILD_LIST 31
454 LOAD_CONST 0 (1)
456 LOAD_CONST 2 (0)
458 LOAD_CONST 2 (0)
460 LOAD_CONST 2 (0)
462 LOAD_CONST 0 (1)
464 LOAD_CONST 2 (0)
466 LOAD_CONST 0 (1)
468 LOAD_CONST 2 (0)
470 LOAD_CONST 2 (0)
472 LOAD_CONST 2 (0)
474 LOAD_CONST 0 (1)
476 LOAD_CONST 2 (0)
478 LOAD_CONST 2 (0)
480 LOAD_CONST 2 (0)
482 LOAD_CONST 2 (0)
484 LOAD_CONST 2 (0)
486 LOAD_CONST 2 (0)
488 LOAD_CONST 2 (0)
490 LOAD_CONST 2 (0)
492 LOAD_CONST 2 (0)
494 LOAD_CONST 0 (1)
496 LOAD_CONST 2 (0)
498 LOAD_CONST 2 (0)
500 LOAD_CONST 2 (0)
502 LOAD_CONST 0 (1)
504 LOAD_CONST 2 (0)
506 LOAD_CONST 2 (0)
508 LOAD_CONST 2 (0)
510 LOAD_CONST 0 (1)
512 LOAD_CONST 2 (0)
514 LOAD_CONST 0 (1)
516 BUILD_LIST 31
518 LOAD_CONST 0 (1)
520 LOAD_CONST 2 (0)
522 LOAD_CONST 0 (1)
524 LOAD_CONST 0 (1)
526 LOAD_CONST 0 (1)
528 LOAD_CONST 2 (0)
530 LOAD_CONST 0 (1)
532 LOAD_CONST 2 (0)
534 LOAD_CONST 0 (1)
536 LOAD_CONST 0 (1)
538 LOAD_CONST 0 (1)
540 LOAD_CONST 2 (0)
542 LOAD_CONST 0 (1)
544 LOAD_CONST 0 (1)
546 LOAD_CONST 0 (1)
548 LOAD_CONST 0 (1)
550 LOAD_CONST 0 (1)
552 LOAD_CONST 0 (1)
554 LOAD_CONST 0 (1)
556 LOAD_CONST 2 (0)
558 LOAD_CONST 0 (1)
560 LOAD_CONST 2 (0)
562 LOAD_CONST 0 (1)
564 LOAD_CONST 0 (1)
566 LOAD_CONST 0 (1)
568 LOAD_CONST 2 (0)
570 LOAD_CONST 0 (1)
572 LOAD_CONST 2 (0)
574 LOAD_CONST 0 (1)
576 LOAD_CONST 2 (0)
578 LOAD_CONST 0 (1)
580 BUILD_LIST 31
582 LOAD_CONST 0 (1)
584 LOAD_CONST 2 (0)
586 LOAD_CONST 2 (0)
588 LOAD_CONST 2 (0)
590 LOAD_CONST 2 (0)
592 LOAD_CONST 2 (0)
594 LOAD_CONST 0 (1)
596 LOAD_CONST 2 (0)
598 LOAD_CONST 0 (1)
600 LOAD_CONST 2 (0)
602 LOAD_CONST 2 (0)
604 LOAD_CONST 2 (0)
606 LOAD_CONST 0 (1)
608 LOAD_CONST 2 (0)
610 LOAD_CONST 2 (0)
612 LOAD_CONST 2 (0)
614 LOAD_CONST 0 (1)
616 LOAD_CONST 2 (0)
618 LOAD_CONST 0 (1)
620 LOAD_CONST 2 (0)
622 LOAD_CONST 0 (1)
624 LOAD_CONST 2 (0)
626 LOAD_CONST 2 (0)
628 LOAD_CONST 2 (0)
630 LOAD_CONST 0 (1)
632 LOAD_CONST 2 (0)
634 LOAD_CONST 0 (1)
636 LOAD_CONST 2 (0)
638 LOAD_CONST 2 (0)
640 LOAD_CONST 2 (0)
642 LOAD_CONST 0 (1)
644 BUILD_LIST 31
646 LOAD_CONST 0 (1)
648 LOAD_CONST 0 (1)
650 LOAD_CONST 0 (1)
652 LOAD_CONST 0 (1)
654 LOAD_CONST 0 (1)
656 LOAD_CONST 0 (1)
658 LOAD_CONST 0 (1)
660 LOAD_CONST 2 (0)
662 LOAD_CONST 0 (1)
664 LOAD_CONST 2 (0)
666 LOAD_CONST 0 (1)
668 LOAD_CONST 0 (1)
670 LOAD_CONST 0 (1)
672 LOAD_CONST 2 (0)
674 LOAD_CONST 0 (1)
676 LOAD_CONST 2 (0)
678 LOAD_CONST 0 (1)
680 LOAD_CONST 2 (0)
682 LOAD_CONST 0 (1)
684 LOAD_CONST 2 (0)
686 LOAD_CONST 0 (1)
688 LOAD_CONST 0 (1)
690 LOAD_CONST 0 (1)
692 LOAD_CONST 2 (0)
694 LOAD_CONST 0 (1)
696 LOAD_CONST 2 (0)
698 LOAD_CONST 0 (1)
700 LOAD_CONST 0 (1)
702 LOAD_CONST 0 (1)
704 LOAD_CONST 2 (0)
706 LOAD_CONST 0 (1)
708 BUILD_LIST 31
710 LOAD_CONST 0 (1)
712 LOAD_CONST 2 (0)
714 LOAD_CONST 2 (0)
716 LOAD_CONST 2 (0)
718 LOAD_CONST 2 (0)
720 LOAD_CONST 2 (0)
722 LOAD_CONST 2 (0)
724 LOAD_CONST 2 (0)
726 LOAD_CONST 0 (1)
728 LOAD_CONST 2 (0)
730 LOAD_CONST 2 (0)
732 LOAD_CONST 2 (0)
734 LOAD_CONST 2 (0)
736 LOAD_CONST 2 (0)
738 LOAD_CONST 0 (1)
740 LOAD_CONST 2 (0)
742 LOAD_CONST 2 (0)
744 LOAD_CONST 2 (0)
746 LOAD_CONST 0 (1)
748 LOAD_CONST 2 (0)
750 LOAD_CONST 0 (1)
752 LOAD_CONST 2 (0)
754 LOAD_CONST 2 (0)
756 LOAD_CONST 2 (0)
758 LOAD_CONST 0 (1)
760 LOAD_CONST 2 (0)
762 LOAD_CONST 0 (1)
764 LOAD_CONST 2 (0)
766 LOAD_CONST 2 (0)
768 LOAD_CONST 2 (0)
770 LOAD_CONST 0 (1)
772 BUILD_LIST 31
774 LOAD_CONST 0 (1)
776 LOAD_CONST 2 (0)
778 LOAD_CONST 0 (1)
780 LOAD_CONST 0 (1)
782 LOAD_CONST 0 (1)
784 LOAD_CONST 0 (1)
786 LOAD_CONST 0 (1)
788 LOAD_CONST 0 (1)
790 LOAD_CONST 0 (1)
792 LOAD_CONST 0 (1)
794 LOAD_CONST 0 (1)
796 LOAD_CONST 0 (1)
798 LOAD_CONST 0 (1)
800 LOAD_CONST 0 (1)
802 LOAD_CONST 0 (1)
804 LOAD_CONST 0 (1)
806 LOAD_CONST 0 (1)
808 LOAD_CONST 2 (0)
810 LOAD_CONST 0 (1)
812 LOAD_CONST 2 (0)
814 LOAD_CONST 0 (1)
816 LOAD_CONST 2 (0)
818 LOAD_CONST 0 (1)
820 LOAD_CONST 0 (1)
822 LOAD_CONST 0 (1)
824 LOAD_CONST 2 (0)
826 LOAD_CONST 0 (1)
828 LOAD_CONST 2 (0)
830 LOAD_CONST 0 (1)
832 LOAD_CONST 0 (1)
834 LOAD_CONST 0 (1)
836 BUILD_LIST 31
838 LOAD_CONST 0 (1)
840 LOAD_CONST 2 (0)
842 LOAD_CONST 2 (0)
844 LOAD_CONST 2 (0)
846 LOAD_CONST 2 (0)
848 LOAD_CONST 2 (0)
850 LOAD_CONST 2 (0)
852 LOAD_CONST 2 (0)
854 LOAD_CONST 0 (1)
856 LOAD_CONST 2 (0)
858 LOAD_CONST 2 (0)
860 LOAD_CONST 2 (0)
862 LOAD_CONST 2 (0)
864 LOAD_CONST 2 (0)
866 LOAD_CONST 2 (0)
868 LOAD_CONST 2 (0)
870 LOAD_CONST 0 (1)
872 LOAD_CONST 2 (0)
874 LOAD_CONST 0 (1)
876 LOAD_CONST 2 (0)
878 LOAD_CONST 2 (0)
880 LOAD_CONST 2 (0)
882 LOAD_CONST 0 (1)
884 LOAD_CONST 2 (0)
886 LOAD_CONST 2 (0)
888 LOAD_CONST 2 (0)
890 LOAD_CONST 0 (1)
892 LOAD_CONST 2 (0)
894 LOAD_CONST 2 (0)
896 LOAD_CONST 2 (0)
898 LOAD_CONST 0 (1)
900 BUILD_LIST 31
902 LOAD_CONST 0 (1)
904 LOAD_CONST 2 (0)
906 LOAD_CONST 0 (1)
908 LOAD_CONST 0 (1)
910 LOAD_CONST 0 (1)
912 LOAD_CONST 0 (1)
914 LOAD_CONST 0 (1)
916 LOAD_CONST 2 (0)
918 LOAD_CONST 0 (1)
920 LOAD_CONST 2 (0)
922 LOAD_CONST 0 (1)
924 LOAD_CONST 2 (0)
926 LOAD_CONST 0 (1)
928 LOAD_CONST 2 (0)
930 LOAD_CONST 0 (1)
932 LOAD_CONST 0 (1)
934 LOAD_CONST 0 (1)
936 LOAD_CONST 2 (0)
938 LOAD_CONST 0 (1)
940 LOAD_CONST 0 (1)
942 LOAD_CONST 0 (1)
944 LOAD_CONST 0 (1)
946 LOAD_CONST 0 (1)
948 LOAD_CONST 2 (0)
950 LOAD_CONST 0 (1)
952 LOAD_CONST 0 (1)
954 LOAD_CONST 0 (1)
956 LOAD_CONST 0 (1)
958 LOAD_CONST 0 (1)
960 LOAD_CONST 0 (1)
962 LOAD_CONST 0 (1)
964 BUILD_LIST 31
966 LOAD_CONST 0 (1)
968 LOAD_CONST 2 (0)
970 LOAD_CONST 0 (1)
972 LOAD_CONST 2 (0)
974 LOAD_CONST 2 (0)
976 LOAD_CONST 2 (0)
978 LOAD_CONST 0 (1)
980 LOAD_CONST 2 (0)
982 LOAD_CONST 0 (1)
984 LOAD_CONST 2 (0)
986 LOAD_CONST 0 (1)
988 LOAD_CONST 2 (0)
990 LOAD_CONST 0 (1)
992 LOAD_CONST 2 (0)
994 LOAD_CONST 0 (1)
996 LOAD_CONST 2 (0)
998 LOAD_CONST 2 (0)
1000 LOAD_CONST 2 (0)
1002 LOAD_CONST 0 (1)
1004 LOAD_CONST 2 (0)
1006 LOAD_CONST 2 (0)
1008 LOAD_CONST 2 (0)
1010 LOAD_CONST 2 (0)
1012 LOAD_CONST 2 (0)
1014 LOAD_CONST 2 (0)
1016 LOAD_CONST 2 (0)
1018 LOAD_CONST 2 (0)
1020 LOAD_CONST 2 (0)
1022 LOAD_CONST 2 (0)
1024 LOAD_CONST 2 (0)
1026 LOAD_CONST 0 (1)
1028 BUILD_LIST 31
1030 LOAD_CONST 0 (1)
1032 LOAD_CONST 2 (0)
1034 LOAD_CONST 0 (1)
1036 LOAD_CONST 2 (0)
1038 LOAD_CONST 0 (1)
1040 LOAD_CONST 2 (0)
1042 LOAD_CONST 0 (1)
1044 LOAD_CONST 2 (0)
1046 LOAD_CONST 0 (1)
1048 LOAD_CONST 2 (0)
1050 LOAD_CONST 0 (1)
1052 LOAD_CONST 2 (0)
1054 LOAD_CONST 0 (1)
1056 LOAD_CONST 0 (1)
1058 LOAD_CONST 0 (1)
1060 LOAD_CONST 2 (0)
1062 LOAD_CONST 0 (1)
1064 LOAD_CONST 0 (1)
1066 LOAD_CONST 0 (1)
1068 LOAD_CONST 2 (0)
1070 LOAD_CONST 0 (1)
1072 LOAD_CONST 0 (1)
1074 LOAD_CONST 0 (1)
1076 LOAD_CONST 0 (1)
1078 LOAD_CONST 0 (1)
1080 LOAD_CONST 2 (0)
1082 LOAD_CONST 0 (1)
1084 LOAD_CONST 0 (1)
1086 LOAD_CONST 0 (1)
1088 LOAD_CONST 2 (0)
1090 LOAD_CONST 0 (1)
1092 BUILD_LIST 31
1094 LOAD_CONST 0 (1)
1096 LOAD_CONST 2 (0)
1098 LOAD_CONST 0 (1)
1100 LOAD_CONST 2 (0)
1102 LOAD_CONST 0 (1)
1104 LOAD_CONST 2 (0)
1106 LOAD_CONST 0 (1)
1108 LOAD_CONST 2 (0)
1110 LOAD_CONST 0 (1)
1112 LOAD_CONST 2 (0)
1114 LOAD_CONST 0 (1)
1116 LOAD_CONST 2 (0)
1118 LOAD_CONST 2 (0)
1120 LOAD_CONST 2 (0)
1122 LOAD_CONST 0 (1)
1124 LOAD_CONST 2 (0)
1126 LOAD_CONST 2 (0)
1128 LOAD_CONST 2 (0)
1130 LOAD_CONST 0 (1)
1132 LOAD_CONST 2 (0)
1134 LOAD_CONST 0 (1)
1136 LOAD_CONST 2 (0)
1138 LOAD_CONST 2 (0)
1140 LOAD_CONST 2 (0)
1142 LOAD_CONST 0 (1)
1144 LOAD_CONST 2 (0)
1146 LOAD_CONST 0 (1)
1148 LOAD_CONST 2 (0)
1150 LOAD_CONST 2 (0)
1152 LOAD_CONST 2 (0)
1154 LOAD_CONST 0 (1)
1156 BUILD_LIST 31
1158 LOAD_CONST 0 (1)
1160 LOAD_CONST 2 (0)
1162 LOAD_CONST 0 (1)
1164 LOAD_CONST 2 (0)
1166 LOAD_CONST 0 (1)
1168 LOAD_CONST 0 (1)
1170 LOAD_CONST 0 (1)
1172 LOAD_CONST 2 (0)
1174 LOAD_CONST 0 (1)
1176 LOAD_CONST 2 (0)
1178 LOAD_CONST 0 (1)
1180 LOAD_CONST 0 (1)
1182 LOAD_CONST 0 (1)
1184 LOAD_CONST 2 (0)
1186 LOAD_CONST 0 (1)
1188 LOAD_CONST 0 (1)
1190 LOAD_CONST 0 (1)
1192 LOAD_CONST 2 (0)
1194 LOAD_CONST 0 (1)
1196 LOAD_CONST 2 (0)
1198 LOAD_CONST 0 (1)
1200 LOAD_CONST 2 (0)
1202 LOAD_CONST 0 (1)
1204 LOAD_CONST 2 (0)
1206 LOAD_CONST 0 (1)
1208 LOAD_CONST 0 (1)
1210 LOAD_CONST 0 (1)
1212 LOAD_CONST 2 (0)
1214 LOAD_CONST 0 (1)
1216 LOAD_CONST 0 (1)
1218 LOAD_CONST 0 (1)
1220 BUILD_LIST 31
1222 LOAD_CONST 0 (1)
1224 LOAD_CONST 2 (0)
1226 LOAD_CONST 2 (0)
1228 LOAD_CONST 2 (0)
1230 LOAD_CONST 0 (1)
1232 LOAD_CONST 2 (0)
1234 LOAD_CONST 2 (0)
1236 LOAD_CONST 2 (0)
1238 LOAD_CONST 0 (1)
1240 LOAD_CONST 2 (0)
1242 LOAD_CONST 0 (1)
1244 LOAD_CONST 2 (0)
1246 LOAD_CONST 2 (0)
1248 LOAD_CONST 2 (0)
1250 LOAD_CONST 2 (0)
1252 LOAD_CONST 2 (0)
1254 LOAD_CONST 0 (1)
1256 LOAD_CONST 2 (0)
1258 LOAD_CONST 0 (1)
1260 LOAD_CONST 2 (0)
1262 LOAD_CONST 0 (1)
1264 LOAD_CONST 2 (0)
1266 LOAD_CONST 0 (1)
1268 LOAD_CONST 2 (0)
1270 LOAD_CONST 2 (0)
1272 LOAD_CONST 2 (0)
1274 LOAD_CONST 0 (1)
1276 LOAD_CONST 2 (0)
1278 LOAD_CONST 2 (0)
1280 LOAD_CONST 2 (0)
1282 LOAD_CONST 0 (1)
1284 BUILD_LIST 31
1286 LOAD_CONST 0 (1)
1288 LOAD_CONST 2 (0)
1290 LOAD_CONST 0 (1)
1292 LOAD_CONST 0 (1)
1294 LOAD_CONST 0 (1)
1296 LOAD_CONST 2 (0)
1298 LOAD_CONST 0 (1)
1300 LOAD_CONST 2 (0)
1302 LOAD_CONST 0 (1)
1304 LOAD_CONST 2 (0)
1306 LOAD_CONST 0 (1)
1308 LOAD_CONST 2 (0)
1310 LOAD_CONST 0 (1)
1312 LOAD_CONST 0 (1)
1314 LOAD_CONST 0 (1)
1316 LOAD_CONST 0 (1)
1318 LOAD_CONST 0 (1)
1320 LOAD_CONST 2 (0)
1322 LOAD_CONST 0 (1)
1324 LOAD_CONST 2 (0)
1326 LOAD_CONST 0 (1)
1328 LOAD_CONST 2 (0)
1330 LOAD_CONST 0 (1)
1332 LOAD_CONST 0 (1)
1334 LOAD_CONST 0 (1)
1336 LOAD_CONST 2 (0)
1338 LOAD_CONST 0 (1)
1340 LOAD_CONST 2 (0)
1342 LOAD_CONST 0 (1)
1344 LOAD_CONST 2 (0)
1346 LOAD_CONST 0 (1)
1348 BUILD_LIST 31
1350 LOAD_CONST 0 (1)
1352 LOAD_CONST 2 (0)
1354 LOAD_CONST 0 (1)
1356 LOAD_CONST 2 (0)
1358 LOAD_CONST 2 (0)
1360 LOAD_CONST 2 (0)
1362 LOAD_CONST 0 (1)
1364 LOAD_CONST 2 (0)
1366 LOAD_CONST 0 (1)
1368 LOAD_CONST 2 (0)
1370 LOAD_CONST 0 (1)
1372 LOAD_CONST 2 (0)
1374 LOAD_CONST 2 (0)
1376 LOAD_CONST 2 (0)
1378 LOAD_CONST 2 (0)
1380 LOAD_CONST 2 (0)
1382 LOAD_CONST 2 (0)
1384 LOAD_CONST 2 (0)
1386 LOAD_CONST 0 (1)
1388 LOAD_CONST 2 (0)
1390 LOAD_CONST 0 (1)
1392 LOAD_CONST 2 (0)
1394 LOAD_CONST 0 (1)
1396 LOAD_CONST 2 (0)
1398 LOAD_CONST 0 (1)
1400 LOAD_CONST 2 (0)
1402 LOAD_CONST 0 (1)
1404 LOAD_CONST 2 (0)
1406 LOAD_CONST 0 (1)
1408 LOAD_CONST 2 (0)
1410 LOAD_CONST 0 (1)
1412 BUILD_LIST 31
1414 LOAD_CONST 0 (1)
1416 LOAD_CONST 2 (0)
1418 LOAD_CONST 0 (1)
1420 LOAD_CONST 2 (0)
1422 LOAD_CONST 0 (1)
1424 LOAD_CONST 0 (1)
1426 LOAD_CONST 0 (1)
1428 LOAD_CONST 2 (0)
1430 LOAD_CONST 0 (1)
1432 LOAD_CONST 2 (0)
1434 LOAD_CONST 0 (1)
1436 LOAD_CONST 0 (1)
1438 LOAD_CONST 0 (1)
1440 LOAD_CONST 0 (1)
1442 LOAD_CONST 0 (1)
1444 LOAD_CONST 0 (1)
1446 LOAD_CONST 0 (1)
1448 LOAD_CONST 0 (1)
1450 LOAD_CONST 0 (1)
1452 LOAD_CONST 0 (1)
1454 LOAD_CONST 0 (1)
1456 LOAD_CONST 2 (0)
1458 LOAD_CONST 0 (1)
1460 LOAD_CONST 2 (0)
1462 LOAD_CONST 0 (1)
1464 LOAD_CONST 2 (0)
1466 LOAD_CONST 0 (1)
1468 LOAD_CONST 2 (0)
1470 LOAD_CONST 0 (1)
1472 LOAD_CONST 2 (0)
1474 LOAD_CONST 0 (1)
1476 BUILD_LIST 31
1478 LOAD_CONST 0 (1)
1480 LOAD_CONST 2 (0)
1482 LOAD_CONST 0 (1)
1484 LOAD_CONST 2 (0)
1486 LOAD_CONST 2 (0)
1488 LOAD_CONST 2 (0)
1490 LOAD_CONST 0 (1)
1492 LOAD_CONST 2 (0)
1494 LOAD_CONST 0 (1)
1496 LOAD_CONST 2 (0)
1498 LOAD_CONST 0 (1)
1500 LOAD_CONST 2 (0)
1502 LOAD_CONST 2 (0)
1504 LOAD_CONST 2 (0)
1506 LOAD_CONST 2 (0)
1508 LOAD_CONST 2 (0)
1510 LOAD_CONST 2 (0)
1512 LOAD_CONST 2 (0)
1514 LOAD_CONST 2 (0)
1516 LOAD_CONST 2 (0)
1518 LOAD_CONST 0 (1)
1520 LOAD_CONST 2 (0)
1522 LOAD_CONST 0 (1)
1524 LOAD_CONST 2 (0)
1526 LOAD_CONST 0 (1)
1528 LOAD_CONST 2 (0)
1530 LOAD_CONST 0 (1)
1532 LOAD_CONST 2 (0)
1534 LOAD_CONST 0 (1)
1536 LOAD_CONST 2 (0)
1538 LOAD_CONST 0 (1)
1540 BUILD_LIST 31
1542 LOAD_CONST 0 (1)
1544 LOAD_CONST 2 (0)
1546 LOAD_CONST 0 (1)
1548 LOAD_CONST 0 (1)
1550 LOAD_CONST 0 (1)
1552 LOAD_CONST 2 (0)
1554 LOAD_CONST 0 (1)
1556 LOAD_CONST 2 (0)
1558 LOAD_CONST 0 (1)
1560 LOAD_CONST 2 (0)
1562 LOAD_CONST 0 (1)
1564 LOAD_CONST 0 (1)
1566 LOAD_CONST 0 (1)
1568 LOAD_CONST 0 (1)
1570 LOAD_CONST 0 (1)
1572 LOAD_CONST 2 (0)
1574 LOAD_CONST 0 (1)
1576 LOAD_CONST 2 (0)
1578 LOAD_CONST 0 (1)
1580 LOAD_CONST 2 (0)
1582 LOAD_CONST 0 (1)
1584 LOAD_CONST 2 (0)
1586 LOAD_CONST 0 (1)
1588 LOAD_CONST 2 (0)
1590 LOAD_CONST 0 (1)
1592 LOAD_CONST 2 (0)
1594 LOAD_CONST 0 (1)
1596 LOAD_CONST 2 (0)
1598 LOAD_CONST 0 (1)
1600 LOAD_CONST 2 (0)
1602 LOAD_CONST 0 (1)
1604 BUILD_LIST 31
1606 LOAD_CONST 0 (1)
1608 LOAD_CONST 2 (0)
1610 LOAD_CONST 2 (0)
1612 LOAD_CONST 2 (0)
1614 LOAD_CONST 0 (1)
1616 LOAD_CONST 2 (0)
1618 LOAD_CONST 0 (1)
1620 LOAD_CONST 2 (0)
1622 LOAD_CONST 0 (1)
1624 LOAD_CONST 2 (0)
1626 LOAD_CONST 2 (0)
1628 LOAD_CONST 2 (0)
1630 LOAD_CONST 2 (0)
1632 LOAD_CONST 2 (0)
1634 LOAD_CONST 0 (1)
1636 LOAD_CONST 2 (0)
1638 LOAD_CONST 0 (1)
1640 LOAD_CONST 2 (0)
1642 LOAD_CONST 0 (1)
1644 LOAD_CONST 2 (0)
1646 LOAD_CONST 2 (0)
1648 LOAD_CONST 2 (0)
1650 LOAD_CONST 0 (1)
1652 LOAD_CONST 2 (0)
1654 LOAD_CONST 2 (0)
1656 LOAD_CONST 2 (0)
1658 LOAD_CONST 0 (1)
1660 LOAD_CONST 2 (0)
1662 LOAD_CONST 0 (1)
1664 LOAD_CONST 2 (0)
1666 LOAD_CONST 0 (1)
1668 BUILD_LIST 31
1670 LOAD_CONST 0 (1)
1672 LOAD_CONST 0 (1)
1674 LOAD_CONST 0 (1)
1676 LOAD_CONST 0 (1)
1678 LOAD_CONST 0 (1)
1680 LOAD_CONST 2 (0)
1682 LOAD_CONST 0 (1)
1684 LOAD_CONST 0 (1)
1686 LOAD_CONST 0 (1)
1688 LOAD_CONST 0 (1)
1690 LOAD_CONST 0 (1)
1692 LOAD_CONST 0 (1)
1694 LOAD_CONST 0 (1)
1696 LOAD_CONST 2 (0)
1698 LOAD_CONST 0 (1)
1700 LOAD_CONST 0 (1)
1702 LOAD_CONST 0 (1)
1704 LOAD_CONST 2 (0)
1706 LOAD_CONST 0 (1)
1708 LOAD_CONST 0 (1)
1710 LOAD_CONST 0 (1)
1712 LOAD_CONST 0 (1)
1714 LOAD_CONST 0 (1)
1716 LOAD_CONST 0 (1)
1718 LOAD_CONST 0 (1)
1720 LOAD_CONST 2 (0)
1722 LOAD_CONST 0 (1)
1724 LOAD_CONST 0 (1)
1726 LOAD_CONST 0 (1)
1728 LOAD_CONST 2 (0)
1730 LOAD_CONST 0 (1)
1732 BUILD_LIST 31
1734 LOAD_CONST 0 (1)
1736 LOAD_CONST 2 (0)
1738 LOAD_CONST 2 (0)
1740 LOAD_CONST 2 (0)
1742 LOAD_CONST 2 (0)
1744 LOAD_CONST 2 (0)
1746 LOAD_CONST 0 (1)
1748 LOAD_CONST 2 (0)
1750 LOAD_CONST 2 (0)
1752 LOAD_CONST 2 (0)
1754 LOAD_CONST 2 (0)
1756 LOAD_CONST 2 (0)
1758 LOAD_CONST 0 (1)
1760 LOAD_CONST 2 (0)
1762 LOAD_CONST 2 (0)
1764 LOAD_CONST 2 (0)
1766 LOAD_CONST 0 (1)
1768 LOAD_CONST 2 (0)
1770 LOAD_CONST 2 (0)
1772 LOAD_CONST 2 (0)
1774 LOAD_CONST 2 (0)
1776 LOAD_CONST 2 (0)
1778 LOAD_CONST 2 (0)
1780 LOAD_CONST 2 (0)
1782 LOAD_CONST 0 (1)
1784 LOAD_CONST 2 (0)
1786 LOAD_CONST 2 (0)
1788 LOAD_CONST 2 (0)
1790 LOAD_CONST 2 (0)
1792 LOAD_CONST 2 (0)
1794 LOAD_CONST 0 (1)
1796 BUILD_LIST 31
1798 LOAD_CONST 0 (1)
1800 LOAD_CONST 2 (0)
1802 LOAD_CONST 0 (1)
1804 LOAD_CONST 0 (1)
1806 LOAD_CONST 0 (1)
1808 LOAD_CONST 0 (1)
1810 LOAD_CONST 0 (1)
1812 LOAD_CONST 2 (0)
1814 LOAD_CONST 0 (1)
1816 LOAD_CONST 0 (1)
1818 LOAD_CONST 0 (1)
1820 LOAD_CONST 2 (0)
1822 LOAD_CONST 0 (1)
1824 LOAD_CONST 0 (1)
1826 LOAD_CONST 0 (1)
1828 LOAD_CONST 2 (0)
1830 LOAD_CONST 0 (1)
1832 LOAD_CONST 0 (1)
1834 LOAD_CONST 0 (1)
1836 LOAD_CONST 0 (1)
1838 LOAD_CONST 0 (1)
1840 LOAD_CONST 0 (1)
1842 LOAD_CONST 0 (1)
1844 LOAD_CONST 2 (0)
1846 LOAD_CONST 0 (1)
1848 LOAD_CONST 0 (1)
1850 LOAD_CONST 0 (1)
1852 LOAD_CONST 0 (1)
1854 LOAD_CONST 0 (1)
1856 LOAD_CONST 2 (0)
1858 LOAD_CONST 0 (1)
1860 BUILD_LIST 31
1862 LOAD_CONST 0 (1)
1864 LOAD_CONST 2 (0)
1866 LOAD_CONST 2 (0)
1868 LOAD_CONST 2 (0)
1870 LOAD_CONST 2 (0)
1872 LOAD_CONST 2 (0)
1874 LOAD_CONST 2 (0)
1876 LOAD_CONST 2 (0)
1878 LOAD_CONST 2 (0)
1880 LOAD_CONST 2 (0)
1882 LOAD_CONST 0 (1)
1884 LOAD_CONST 2 (0)
1886 LOAD_CONST 2 (0)
1888 LOAD_CONST 2 (0)
1890 LOAD_CONST 2 (0)
1892 LOAD_CONST 2 (0)
1894 LOAD_CONST 2 (0)
1896 LOAD_CONST 2 (0)
1898 LOAD_CONST 2 (0)
1900 LOAD_CONST 2 (0)
1902 LOAD_CONST 2 (0)
1904 LOAD_CONST 2 (0)
1906 LOAD_CONST 2 (0)
1908 LOAD_CONST 2 (0)
1910 LOAD_CONST 0 (1)
1912 LOAD_CONST 2 (0)
1914 LOAD_CONST 2 (0)
1916 LOAD_CONST 2 (0)
1918 LOAD_CONST 2 (0)
1920 LOAD_CONST 3 (7)
1922 LOAD_CONST 0 (1)
1924 BUILD_LIST 31
1926 LOAD_CONST 0 (1)
1928 LOAD_CONST 0 (1)
1930 LOAD_CONST 0 (1)
1932 LOAD_CONST 0 (1)
1934 LOAD_CONST 0 (1)
1936 LOAD_CONST 0 (1)
1938 LOAD_CONST 0 (1)
1940 LOAD_CONST 0 (1)
1942 LOAD_CONST 0 (1)
1944 LOAD_CONST 0 (1)
1946 LOAD_CONST 0 (1)
1948 LOAD_CONST 0 (1)
1950 LOAD_CONST 0 (1)
1952 LOAD_CONST 0 (1)
1954 LOAD_CONST 0 (1)
1956 LOAD_CONST 0 (1)
1958 LOAD_CONST 0 (1)
1960 LOAD_CONST 0 (1)
1962 LOAD_CONST 0 (1)
1964 LOAD_CONST 0 (1)
1966 LOAD_CONST 0 (1)
1968 LOAD_CONST 0 (1)
1970 LOAD_CONST 0 (1)
1972 LOAD_CONST 0 (1)
1974 LOAD_CONST 0 (1)
1976 LOAD_CONST 0 (1)
1978 LOAD_CONST 0 (1)
1980 LOAD_CONST 0 (1)
1982 LOAD_CONST 0 (1)
1984 LOAD_CONST 0 (1)
1986 LOAD_CONST 0 (1)
3 1988 BUILD_LIST 31
1990 BUILD_LIST 31
1992 STORE_NAME 0 (_map)
1994 LOAD_CONST 4 (<code object maze at 0x000001171D1D4A80, file ".\BabyMaze.py", line 3>)
23 1996 LOAD_CONST 5 ('maze')
1998 MAKE_FUNCTION 0
2000 STORE_NAME 1 (maze)
2002 LOAD_CONST 6 (<code object main at 0x000001171D1D4B30, file ".\BabyMaze.py", line 23>)
32 2004 LOAD_CONST 7 ('main')
2006 MAKE_FUNCTION 0
2008 STORE_NAME 2 (main)
2010 LOAD_NAME 3 (__name__)
2012 LOAD_CONST 8 ('__main__')
33 2014 COMPARE_OP 2 (==)
2016 EXTENDED_ARG 7
2018 POP_JUMP_IF_FALSE 2020
>> 2020 LOAD_NAME 2 (main)
2022 CALL_FUNCTION 0
2024 POP_TOP
2026 LOAD_CONST 9 (None)
2028 RETURN_VALUE
Disassembly of <code object maze at 0x000001171D1D4A80, file ".\BabyMaze.py", line 3>:
4 0 LOAD_CONST 1 (1)
2 STORE_FAST 0 (x)
5 4 LOAD_CONST 1 (1)
6 STORE_FAST 1 (y)
6 8 LOAD_GLOBAL 0 (input)
10 CALL_FUNCTION 0
12 STORE_FAST 2 (step)
7 14 LOAD_GLOBAL 1 (range)
16 LOAD_GLOBAL 2 (len)
18 LOAD_FAST 2 (step)
20 CALL_FUNCTION 1
22 CALL_FUNCTION 1
24 GET_ITER
>> 26 FOR_ITER 142 (to 170)
28 STORE_FAST 3 (i)
8 30 LOAD_FAST 2 (step)
32 LOAD_FAST 3 (i)
34 BINARY_SUBSCR
36 LOAD_CONST 2 ('w')
38 COMPARE_OP 2 (==)
40 POP_JUMP_IF_FALSE 52
9 42 LOAD_FAST 0 (x)
44 LOAD_CONST 1 (1)
46 INPLACE_SUBTRACT
48 STORE_FAST 0 (x)
50 JUMP_FORWARD 72 (to 124)
10 >> 52 LOAD_FAST 2 (step)
54 LOAD_FAST 3 (i)
56 BINARY_SUBSCR
58 LOAD_CONST 3 ('s')
60 COMPARE_OP 2 (==)
62 POP_JUMP_IF_FALSE 74
11 64 LOAD_FAST 0 (x)
66 LOAD_CONST 1 (1)
68 INPLACE_ADD
70 STORE_FAST 0 (x)
72 JUMP_FORWARD 50 (to 124)
12 >> 74 LOAD_FAST 2 (step)
76 LOAD_FAST 3 (i)
78 BINARY_SUBSCR
80 LOAD_CONST 4 ('a')
82 COMPARE_OP 2 (==)
84 POP_JUMP_IF_FALSE 96
13 86 LOAD_FAST 1 (y)
88 LOAD_CONST 1 (1)
90 INPLACE_SUBTRACT
92 STORE_FAST 1 (y)
94 JUMP_FORWARD 28 (to 124)
14 >> 96 LOAD_FAST 2 (step)
98 LOAD_FAST 3 (i)
100 BINARY_SUBSCR
102 LOAD_CONST 5 ('d')
104 COMPARE_OP 2 (==)
106 POP_JUMP_IF_FALSE 118
15 108 LOAD_FAST 1 (y)
110 LOAD_CONST 1 (1)
112 INPLACE_ADD
114 STORE_FAST 1 (y)
116 JUMP_FORWARD 6 (to 124)
17 >> 118 POP_TOP
120 LOAD_CONST 6 (False)
122 RETURN_VALUE
18 >> 124 LOAD_GLOBAL 3 (_map)
126 LOAD_FAST 0 (x)
128 BINARY_SUBSCR
130 LOAD_FAST 1 (y)
132 BINARY_SUBSCR
134 LOAD_CONST 1 (1)
136 COMPARE_OP 2 (==)
138 POP_JUMP_IF_FALSE 146
19 140 POP_TOP
142 LOAD_CONST 6 (False)
144 RETURN_VALUE
20 >> 146 LOAD_FAST 0 (x)
148 LOAD_CONST 7 (29)
150 COMPARE_OP 2 (==)
152 POP_JUMP_IF_FALSE 26
154 LOAD_FAST 1 (y)
156 LOAD_CONST 7 (29)
158 COMPARE_OP 2 (==)
160 POP_JUMP_IF_FALSE 26
21 162 POP_TOP
164 LOAD_CONST 8 (True)
166 RETURN_VALUE
168 JUMP_ABSOLUTE 26
>> 170 LOAD_CONST 0 (None)
172 RETURN_VALUE
Disassembly of <code object main at 0x000001171D1D4B30, file ".\BabyMaze.py", line 23>:
24 0 LOAD_GLOBAL 0 (print)
2 LOAD_CONST 1 ('Welcome To VNCTF2022!!!')
4 CALL_FUNCTION 1
6 POP_TOP
25 8 LOAD_GLOBAL 0 (print)
10 LOAD_CONST 2 ('Hello Mr. X, this time your mission is to get out of this maze this time.(FIND THAT 7!)')
12 CALL_FUNCTION 1
14 POP_TOP
26 16 LOAD_GLOBAL 0 (print)
18 LOAD_CONST 3 ('you are still doing the mission alone, this tape will self-destruct in five seconds.')
20 CALL_FUNCTION 1
22 POP_TOP
27 24 LOAD_GLOBAL 1 (maze)
26 CALL_FUNCTION 0
28 POP_JUMP_IF_FALSE 40
28 30 LOAD_GLOBAL 0 (print)
32 LOAD_CONST 4 ('Congratulation! flag: VNCTF{md5(your input)}')
34 CALL_FUNCTION 1
36 POP_TOP
38 JUMP_FORWARD 8 (to 48)
30 >> 40 LOAD_GLOBAL 0 (print)
42 LOAD_CONST 5 ("Sorry, we won't acknowledge the existence of your squad.")
44 CALL_FUNCTION 1
46 POP_TOP
>> 48 LOAD_CONST 0 (None)
50 RETURN_VALUE
字节码非常得长，有很多0和1的数据，后面的信息也说明了是一道迷宫逆向。
当然既然得到字节码了，你手搓也是没问题的，但是手搓速度慢，而且容易出错，所以我们尽量避免
这里反编译失败就出在头三个字节码的问题，如图
看到这个是不是想到了我们平常遇到的跳转花指令
关于这条字节码的作用，我们查阅官方文档和相关文章
https://docs.python.org/zh-cn/3.6/library/dis.html
每个字节码的左边都有个数字，应该就是对于opcode，而该跳转指令的操作数就是要跳转的位置的opcode，当然我是这样理解的，我看到有一两个博客的解释是会进入无限循环
可是这里opcode是0->4->2>6，就是第一条跳转指令执行后，跳转到第三条跳转指令，第三条跳转指令又到第二条跳转指令，再跳转到正常的opcode为6的位置，也就是正常的指令。那为啥反编译会出现错误呢？
这个指令的字节码好像通常都会对跳转位置标出
需要用3.8版本的Python才是这样的，用其他版本可能标的位置就不同。
再回到上面的问题，下面这篇文章给了我一点点灵感
技术分享 | Python逆向：修改Pycdc源码绕过花指令-轻识 (qinglite.cn)
反汇编的算法分为线性扫描反汇编算法和递归下降反汇编算法，这里不具体介绍，
而这里的反编译出现错误，那么只能说pycdc和其他对pyc反编译的网站或者工具都是属于线性扫描反汇编算法的。
在程序运行时，实际上会直接跳转到指定位置，而不会执行跳转位置之间的代码。然而，pycdc会继续解析每一条操作码和操作数，包括跳转位置之间的代码。
这里的字节码和上面文章中的字节码还是不同，所以我还是无法确认这样的跳转字节码为啥会影响反编译，有的文章感觉都是出自同一篇的，说这段跳转字节码是无限循环，但是我咋都看不出是无限循环的跳转。
在这里打个问号？
查看
这个文档应该是Python字节码的二进制表示，然后看到
113化为16进制就是0x71
我们打开二进制文件，对其进行修改
0x71和操作数的二进制数据删除
而对字节码的增加删除操作之后，也都要对co_code中的size数值进行修改，一般0x73后面的两个字节就是字节码的长度，0x73转化为Ascii中的小写s，代表类型标识TYPE_STRING。这里就是0x7ee
也可以直接代码操作输出字节码长度，再在二进制文件当中找。
改成E8 07即可正常用pycdc反编译，不改的话不行，反编译后的Python源码如下
_map = [
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
[ 1, 5, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],
[ 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1],
[ 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1],
[ 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1],
[ 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1],
[ 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1],
[ 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1],
[ 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1],
[ 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1],
[ 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1],
[ 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1],
[ 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1],
[ 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1],
[ 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1],
[ 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],
[ 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1],
[ 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1],
[ 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1],
[ 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1],
[ 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1],
[ 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1],
[ 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1],
[ 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1],
[ 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1],
[ 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1],
[ 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1],
[ 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1],
[ 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1],
[ 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 7, 1],
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
def maze():
x = 1
y = 1
step = input()
for i in range(len(step)): x -= 1
if step[i] == 's': x += 1
elif step[i] == 'a': y -= 1
elif step[i] == 'd': y += 1
else: return False
if None[x][y] == 1: return False
if None == 29 and y == 29: return True
def main():
print('Welcome To VNCTF2022!!!')
print('Hello Mr. X, this time your mission is to get out of this maze this time.(FIND THAT 7!)')
print('you are still doing the mission alone, this tape will self-destruct in five seconds.')
if maze(): print('Congratulation! flag: VNCTF{md5(your input)}')
else: print("Sorry, we won't acknowledge the existence of your squad.")
if __name__ == '__main__':
main()有一些错误，很明显，手动修改一下即可，提示也很明显。
起点是5，终点是数字7，数字1是墙，数字0是路。
迷宫逆向就不在这多说了，直接上脚本
import hashlib
map = [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1], [1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,
0, 0, 0, 0, 0, 1], [1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1,
1, 1, 1, 1, 1, 1, 0, 1], [1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0,
0, 1, 0, 1, 0, 0, 0, 1, 0, 1], [1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1,
1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1], [1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1], [1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1], [1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1], [1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1,
0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1], [1, 0, 0, 0, 0, 0, 1, 0, 1,
0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1], [1, 1, 1, 1, 1, 1, 1,
0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1], [1, 0, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1], [1, 0, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1], [1,
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0,
1], [1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1,
1, 1, 1], [1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 1], [1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1,
1, 0, 1, 1, 1, 0, 1], [1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0,
0, 0, 1, 0, 1, 0, 0, 0, 1], [1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0,
1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1], [1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0,
1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1], [1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1,
1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1], [1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0,
0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], [1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], [1, 0, 1, 0, 0, 0, 1, 0, 1, 0,
1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], [1, 0, 1, 1, 1, 0, 1, 0,
1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], [1, 0, 0, 0, 1, 0,
1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1], [1, 1, 1, 1,
1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1], [1, 0,
0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1],
[1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1,
0, 1], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0,
0, 0, 0, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1]]
usedmap = [[0 for i in range(len(map))] for i in range(len(map)) ]
flag = ''
def DFS(x, y):
global flag
if x == len(map) - 2 and y == len(map) - 2: # 31x31的迷宫 终点也就是数组的(29,29)
print(flag)
print("MD5:",hashlib.md5(flag.encode()).hexdigest())
return
if map[x + 1][y] == 0 and usedmap[x + 1][y] == 0: # 如果下⼀步不是墙 且没⾛过
usedmap[x][y] = 1 # 标记当前坐标⾛过（不是下⼀步）
flag += 's'
DFS(x + 1, y) # 尝试向下⾛
flag = flag[:-1] # 回溯到这说明这条路不可⾏ 所以去掉's'
usedmap[x][y] = 0 # 再设置当前坐标为0 重新找路
if map[x - 1][y] == 0 and usedmap[x - 1][y] == 0:
usedmap[x][y] = 1
flag += 'w'
DFS(x - 1, y)
flag = flag[:-1]
usedmap[x][y] = 0
if map[x][y + 1] == 0 and usedmap[x][y + 1] == 0:
usedmap[x][y] = 1
flag += 'd'
DFS(x, y + 1)
flag = flag[:-1]
usedmap[x][y] = 0
if map[x][y - 1] == 0 and usedmap[x][y - 1] == 0:
usedmap[x][y] = 1
flag += 'a'
DFS(x, y - 1)
flag = flag[:-1]
usedmap[x][y] = 0
print("path:")
x = 1 # 设置起始坐标
y = 1
DFS(x, y)
#输出
#path:
#ssssddssaassddddwwwwddwwddddddwwddddddssddwwddddddddssssaawwaassaassaassddssaassaawwwwwwaaaaaaaassaassddddwwddssddssssaassddssssaaaaaawwddwwaawwwwaassssssssssssddddssddssddddddddwwaaaaaawwwwddssddwwwwwwwwddssddssssssssddddss
#MD5: 801f190737434100e7d2790bd5b0732e
这里是用的DFS算法，没有BFS那么好理解，我在这不做详细解析了
有空再写篇博客详细学习一下这两种算法，主要是在迷宫逆向当中应用，但不局限于此
这一题主要考点还是在Python字节码的花指令。
所以flag就是VNCTF{801f190737434100e7d2790bd5b0732e}
后面也是发现了出题人有在bilibili发个视频，可以看一下
