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BioBot/NumPat/Num2

This website contains an archive of files for the Acorn Electron, BBC Micro, Acorn Archimedes, Commodore 16 and Commodore 64 computers, which Dominic Ford has rescued from his private collection of floppy disks and cassettes.

Some of these files were originally commercial releases in the 1980s and 1990s, but they are now widely available online. I assume that copyright over them is no longer being asserted. If you own the copyright and would like files to be removed, please contact me.

Tape/disk: Home » Personal collection » Acorn ADFS disks » Greaseweazled » dos34_s2312.016_compaq_user_programs.adf
Filename: BioBot/NumPat/Num2
Read OK:
File size: 0D6D bytes
Load address: FFFFFB45
Exec address: AE163B21
Duplicates

There are 2 duplicate copies of this file in the archive:

File contents
   10 REM Intellegent number pattern matching
   20 REM by Dominic Ford 1997
   30 :
   40 MODE0:T=TIME
   50 DIMn(4):PROCsetupbb
   60 FORd=0TO4:INPUTn(d):NEXT
   70 REPEAT
   80 Na=FNai(0):Nb=FNai(1):Nc=FNai(2):Nd=FNai(3):Ne=FNai(4)
  100 PRINTbbno,Na,Nb,Nc,Nd,Ne,FNscr
  102 idle=TRUE:Z=FNai(0)
  105 IF FNscr=100 THEN PRINT''(TIME-T)/6000:REPEAT UNTIL FALSE
  110 UNTIL FALSE
  120 :
  130 REM General maintainence and refereeing
  140 :
  150 DEFPROCreferee
  160 ENDPROC
  170 DEFPROCrestart
  180 ENDPROC
  190 :
  200 REM Give ballbot a score at the end of a run
  210 :
  220 DEFFNscr
  230 score=2*(50-ABS(n(0)-Na)-ABS(n(1)-Nb)-ABS(n(2)-Nc)-ABS(n(3)-Nd)-ABS(n(4)-Ne))
  240 IF score<0 THEN score=0
  280 =score
  290 :
  300 REM BioBot Evolutionary Learning Routine
  310 :
  320 REM Main AI system
  330 :
  340 DEFFNai(A1)
  350 REM Artificial intelligence routines (ie. What Next??)
  360 counter=counter+1:IF counter=1000 OR idle=TRUE THEN PROCnext(FNscr):=0
  370 :
  380 n%(1)=(A1 AND 1)
  390 n%(2)=(A1 AND 2)
  400 n%(3)=(A1 AND 4)
  410 n%(4)=(A1 AND 8)
  420 FORl=0TO1:FORma=0TOlinks-1
  430 IFm%(bbno,ma,0)=1 AND n%(m%(bbno,ma,1))<>0 AND n%(m%(bbno,ma,2))<>0 THEN n%(m%(bbno,ma,3))=1
  440 IFm%(bbno,ma,0)=2 AND (n%(m%(bbno,ma,1))<>0 OR n%(m%(bbno,ma,2))<>0) THEN n%(m%(bbno,ma,3))=1
  450 IFm%(bbno,ma,0)=3 AND n%(m%(bbno,ma,1))=0 THEN n%(m%(bbno,ma,3))=1 ELSE n%(m%(bbno,ma,3))=0
  460 IFm%(bbno,ma,0)=4 AND (n%(m%(bbno,ma,1))<>0 EOR n%(m%(bbno,ma,2))<>0) THEN n%(m%(bbno,ma,3))=1
  470 IFm%(bbno,ma,0)=5 AND n%(m%(bbno,ma,1))<>0 THEN n%(m%(bbno,ma,3))=1 ELSE n%(m%(bbno,ma,3))=0
  480 NEXT,
  490 REM Calculate outputs
  500 o1=A1:PROCreferee
  510 R%=0:FORz=1TOtotalout:R%=2*R%-(n%(no%-totalout+z)<>0):NEXT
  520 REM R%=ABS(INKEY(-71)+2*INKEY(-102)+4*INKEY(-98)+8*INKEY(-67))
  530 =R%
  540 :
  550 REM Next attempt by this biobot (each has ten)
  560 :
  570 DEFPROCnext(score)
  580 PROCuser:PROCrestart
  590 s%(bbno)=s%(bbno)+score/attempts:counter=0:idle=FALSE
  600 FORc=0TOno%:n%(no%)=0:NEXT:tns%=1
  610 tryno=tryno+1:IF tryno<attempts THEN ENDPROC
  620 tryno=0:bbno=bbno+1:IF bbno=10 THEN PROCgeneration
  630 PROCnewbb
  640 ENDPROC
  650 :
  660 REM Test next biobot
  670 :
  680 DEFPROCnewbb
  690 o1=0:o2=0:o3=0:tns%=1
  700 idle=FALSE:scr=0:tryno=0
  710 PROCrestart:counter=0
  720 ENDPROC
  730 :
  740 REM Setup BioBot system (for the first time)
  750 :
  760 DEFPROCsetupbb
  770 bbno=0:gen=0:PROCnewbb
  780 totalin=4:analogues=3:switches=0:totalout=4:mem=2:attempts=1
  790 no%=totalin+totalout+mem:links=12
  800 DIMm%(10,links-1,3):DIMn%(no%):DIMs%(9)
  810 s%(1)=1:m%(1,1,0)=3:m%(1,1,1)=1:m%(1,1,3)=no%:m%(1,2,0)=5:m%(1,2,1)=1:m%(1,2,3)=no%-1:PROCgeneration
  820 ENDPROC
  830 :
  840 REM Select best biobot of generation
  850 :
  860 DEFPROCgeneration
  870 winner=0:score=s%(0)
  880 FORs=0TO9:IF s%(s)>score THEN score=s%(s):winner=s
  890 NEXT
  895 scowin=score
  900 :
  910 REM Breed more biobots from best one
  920 :
  930 FORx=0TOlinks-1:FORy=0TO3:m%(10,x,y)=m%(winner,x,y):NEXT,
  940 FORz=0TO9:FORx=0TOlinks-1:FORy=0TO3:m%(z,x,y)=m%(10,x,y):NEXT,,
  950 :
  960 REM Add a bit of variation
  970 :
  975 alts=100-score:IF alts<9 THEN alts=9
  980 FORn=0TOalts:z=RND(9)-1:x=RND(links)-1:m%(z,x,0)=RND(6)-1:m%(z,x,1)=RND(no%):m%(z,x,2)=RND(no%):m%(z,x,3)=RND(no%):NEXT
  990 :
 1000 REM Initialise ready for generation test
 1010 bbno=0:gen=gen+1
 1020 FORs=0TO9:s%(s)=0:NEXT
 1025 PRINT'"Generation ";gen'
 1030 ENDPROC
 1040:
 1050 REM User interface for BioBot system
 1060 :
 1070 DEFPROCuser
 1080 f$=INKEY$(0)
 1090 IF f$="D" THEN PROCdisp
 1100 IF f$="S" THEN PROCsave
 1110 ENDPROC
 1120 REM Display best biobot's genetic information
 1130 DEFPROCdisp
 1140 CLS:FORz=0TOlinks-2:PRINTz+1,m%(10,z,0),m%(10,z,1),m%(10,z,2),m%(10,z,3):NEXT
 1150 PRINTlinks,m%(10,links-1,0),m%(10,links-1,1),m%(10,links-1,2),m%(10,links-1,3);
 1155 PRINT''"Scored: ";scowin
 1160 VDU 7:REPEAT UNTIL INKEY$(0)=""
 1170 REPEAT UNTIL INKEY$(0)<>""
 1180 ENDPROC
 1190 REM Save best biobot to disc
 1200 DEFPROCsave
 1210 file=OPENOUT"BBF"
 1220 FORz=0TOlinks-1:PRINT#file,z+1,m%(10,z,0),m%(10,z,1),m%(10,z,2),m%(10,z,3):NEXT
 1230 CLOSE#file
 1240 ENDPROC

* � Intellegent number pattern matching
 � by Dominic Ford 1997
 :
( �0:T=�
2 �n(4):�setupbb
< �d=0�4:�n(d):�
F �
P6 Na=�ai(0):Nb=�ai(1):Nc=�ai(2):Nd=�ai(3):Ne=�ai(4)
d �bbno,Na,Nb,Nc,Nd,Ne,�scr
f idle=�:Z=�ai(0)
i% � �scr=100 � �''(�-T)/6000:� � �
n � �
x :
�* � General maintainence and refereeing
� :
� ��referee
� �
� ��restart
� �
� :
�/ � Give ballbot a score at the end of a run
� :
�
 ݤscr
�H score=2*(50-�(n(0)-Na)-�(n(1)-Nb)-�(n(2)-Nc)-�(n(3)-Nd)-�(n(4)-Ne))
� � score<0 � score=0
 =score
" :
,+ � BioBot Evolutionary Learning Routine
6 :
@ � Main AI system
J :
T
 ݤai(A1)
^9 � Artificial intelligence routines (ie. What Next??)
h? counter=counter+1:� counter=1000 � idle=� � �next(�scr):=0
r :
| n%(1)=(A1 � 1)
� n%(2)=(A1 � 2)
� n%(3)=(A1 � 4)
� n%(4)=(A1 � 8)
� �l=0�1:�ma=0�links-1
�Y �m%(bbno,ma,0)=1 � n%(m%(bbno,ma,1))<>0 � n%(m%(bbno,ma,2))<>0 � n%(m%(bbno,ma,3))=1
�[ �m%(bbno,ma,0)=2 � (n%(m%(bbno,ma,1))<>0 � n%(m%(bbno,ma,2))<>0) � n%(m%(bbno,ma,3))=1
�W �m%(bbno,ma,0)=3 � n%(m%(bbno,ma,1))=0 � n%(m%(bbno,ma,3))=1 � n%(m%(bbno,ma,3))=0
�[ �m%(bbno,ma,0)=4 � (n%(m%(bbno,ma,1))<>0 � n%(m%(bbno,ma,2))<>0) � n%(m%(bbno,ma,3))=1
�X �m%(bbno,ma,0)=5 � n%(m%(bbno,ma,1))<>0 � n%(m%(bbno,ma,3))=1 � n%(m%(bbno,ma,3))=0
� �,
� � Calculate outputs
� o1=A1:�referee
�9 R%=0:�z=1�totalout:R%=2*R%-(n%(no%-totalout+z)<>0):�
A � R%=ABS(INKEY(-71)+2*INKEY(-102)+4*INKEY(-98)+8*INKEY(-67))
 =R%
 :
&1 � Next attempt by this biobot (each has ten)
0 :
: ��next(score)
D �user:�restart
N6 s%(bbno)=s%(bbno)+score/attempts:counter=0:idle=�
X  �c=0�no%:n%(no%)=0:�:tns%=1
b' tryno=tryno+1:� tryno<attempts � �
l0 tryno=0:bbno=bbno+1:� bbno=10 � �generation
v �newbb
� �
� :
� � Test next biobot
� :
� ��newbb
� o1=0:o2=0:o3=0:tns%=1
� idle=�:scr=0:tryno=0
� �restart:counter=0
� �
� :
�/ � Setup BioBot system (for the first time)
� :
� ��setupbb
 bbno=0:gen=0:�newbb
A totalin=4:analogues=3:switches=0:totalout=4:mem=2:attempts=1
& no%=totalin+totalout+mem:links=12
 & �m%(10,links-1,3):�n%(no%):�s%(9)
*f s%(1)=1:m%(1,1,0)=3:m%(1,1,1)=1:m%(1,1,3)=no%:m%(1,2,0)=5:m%(1,2,1)=1:m%(1,2,3)=no%-1:�generation
4 �
> :
H' � Select best biobot of generation
R :
\ ��generation
f winner=0:score=s%(0)
p0 �s=0�9:� s%(s)>score � score=s%(s):winner=s
z �
 scowin=score
� :
�' � Breed more biobots from best one
� :
�5 �x=0�links-1:�y=0�3:m%(10,x,y)=m%(winner,x,y):�,
�8 �z=0�9:�x=0�links-1:�y=0�3:m%(z,x,y)=m%(10,x,y):�,,
� :
� � Add a bit of variation
� :
�% alts=100-score:� alts<9 � alts=9
�j �n=0�alts:z=�(9)-1:x=�(links)-1:m%(z,x,0)=�(6)-1:m%(z,x,1)=�(no%):m%(z,x,2)=�(no%):m%(z,x,3)=�(no%):�
� :
�+ � Initialise ready for generation test
� bbno=0:gen=gen+1
� �s=0�9:s%(s)=0:�
 �'"Generation ";gen'
 �
:
' � User interface for BioBot system
$ :
. ��user
8 f$=�(0)
B � f$="D" � �disp
L � f$="S" � �save
V �
`0 � Display best biobot's genetic information
j ��disp
tF �:�z=0�links-2:�z+1,m%(10,z,0),m%(10,z,1),m%(10,z,2),m%(10,z,3):�
~P �links,m%(10,links-1,0),m%(10,links-1,1),m%(10,links-1,2),m%(10,links-1,3);
� �''"Scored: ";scowin
� � 7:� � �(0)=""
� � � �(0)<>""
� �
� � Save best biobot to disc
� ��save
� file=�"BBF"
�J �z=0�links-1:�#file,z+1,m%(10,z,0),m%(10,z,1),m%(10,z,2),m%(10,z,3):�
� �#file
� �
�
00000000  0d 00 0a 2a 20 f4 20 49  6e 74 65 6c 6c 65 67 65  |...* . Intellege|
00000010  6e 74 20 6e 75 6d 62 65  72 20 70 61 74 74 65 72  |nt number patter|
00000020  6e 20 6d 61 74 63 68 69  6e 67 0d 00 14 1b 20 f4  |n matching.... .|
00000030  20 62 79 20 44 6f 6d 69  6e 69 63 20 46 6f 72 64  | by Dominic Ford|
00000040  20 31 39 39 37 0d 00 1e  06 20 3a 0d 00 28 0b 20  | 1997.... :..(. |
00000050  eb 30 3a 54 3d 91 0d 00  32 13 20 de 6e 28 34 29  |.0:T=...2. .n(4)|
00000060  3a f2 73 65 74 75 70 62  62 0d 00 3c 13 20 e3 64  |:.setupbb..<. .d|
00000070  3d 30 b8 34 3a e8 6e 28  64 29 3a ed 0d 00 46 06  |=0.4:.n(d):...F.|
00000080  20 f5 0d 00 50 36 20 4e  61 3d a4 61 69 28 30 29  | ...P6 Na=.ai(0)|
00000090  3a 4e 62 3d a4 61 69 28  31 29 3a 4e 63 3d a4 61  |:Nb=.ai(1):Nc=.a|
000000a0  69 28 32 29 3a 4e 64 3d  a4 61 69 28 33 29 3a 4e  |i(2):Nd=.ai(3):N|
000000b0  65 3d a4 61 69 28 34 29  0d 00 64 1e 20 f1 62 62  |e=.ai(4)..d. .bb|
000000c0  6e 6f 2c 4e 61 2c 4e 62  2c 4e 63 2c 4e 64 2c 4e  |no,Na,Nb,Nc,Nd,N|
000000d0  65 2c a4 73 63 72 0d 00  66 14 20 69 64 6c 65 3d  |e,.scr..f. idle=|
000000e0  b9 3a 5a 3d a4 61 69 28  30 29 0d 00 69 25 20 e7  |.:Z=.ai(0)..i% .|
000000f0  20 a4 73 63 72 3d 31 30  30 20 8c 20 f1 27 27 28  | .scr=100 . .''(|
00000100  91 2d 54 29 2f 36 30 30  30 3a f5 20 fd 20 a3 0d  |.-T)/6000:. . ..|
00000110  00 6e 08 20 fd 20 a3 0d  00 78 06 20 3a 0d 00 82  |.n. . ...x. :...|
00000120  2a 20 f4 20 47 65 6e 65  72 61 6c 20 6d 61 69 6e  |* . General main|
00000130  74 61 69 6e 65 6e 63 65  20 61 6e 64 20 72 65 66  |tainence and ref|
00000140  65 72 65 65 69 6e 67 0d  00 8c 06 20 3a 0d 00 96  |ereeing.... :...|
00000150  0e 20 dd f2 72 65 66 65  72 65 65 0d 00 a0 06 20  |. ..referee.... |
00000160  e1 0d 00 aa 0e 20 dd f2  72 65 73 74 61 72 74 0d  |..... ..restart.|
00000170  00 b4 06 20 e1 0d 00 be  06 20 3a 0d 00 c8 2f 20  |... ..... :.../ |
00000180  f4 20 47 69 76 65 20 62  61 6c 6c 62 6f 74 20 61  |. Give ballbot a|
00000190  20 73 63 6f 72 65 20 61  74 20 74 68 65 20 65 6e  | score at the en|
000001a0  64 20 6f 66 20 61 20 72  75 6e 0d 00 d2 06 20 3a  |d of a run.... :|
000001b0  0d 00 dc 0a 20 dd a4 73  63 72 0d 00 e6 48 20 73  |.... ..scr...H s|
000001c0  63 6f 72 65 3d 32 2a 28  35 30 2d 94 28 6e 28 30  |core=2*(50-.(n(0|
000001d0  29 2d 4e 61 29 2d 94 28  6e 28 31 29 2d 4e 62 29  |)-Na)-.(n(1)-Nb)|
000001e0  2d 94 28 6e 28 32 29 2d  4e 63 29 2d 94 28 6e 28  |-.(n(2)-Nc)-.(n(|
000001f0  33 29 2d 4e 64 29 2d 94  28 6e 28 34 29 2d 4e 65  |3)-Nd)-.(n(4)-Ne|
00000200  29 29 0d 00 f0 18 20 e7  20 73 63 6f 72 65 3c 30  |)).... . score<0|
00000210  20 8c 20 73 63 6f 72 65  3d 30 0d 01 18 0b 20 3d  | . score=0.... =|
00000220  73 63 6f 72 65 0d 01 22  06 20 3a 0d 01 2c 2b 20  |score..". :..,+ |
00000230  f4 20 42 69 6f 42 6f 74  20 45 76 6f 6c 75 74 69  |. BioBot Evoluti|
00000240  6f 6e 61 72 79 20 4c 65  61 72 6e 69 6e 67 20 52  |onary Learning R|
00000250  6f 75 74 69 6e 65 0d 01  36 06 20 3a 0d 01 40 15  |outine..6. :..@.|
00000260  20 f4 20 4d 61 69 6e 20  41 49 20 73 79 73 74 65  | . Main AI syste|
00000270  6d 0d 01 4a 06 20 3a 0d  01 54 0d 20 dd a4 61 69  |m..J. :..T. ..ai|
00000280  28 41 31 29 0d 01 5e 39  20 f4 20 41 72 74 69 66  |(A1)..^9 . Artif|
00000290  69 63 69 61 6c 20 69 6e  74 65 6c 6c 69 67 65 6e  |icial intelligen|
000002a0  63 65 20 72 6f 75 74 69  6e 65 73 20 28 69 65 2e  |ce routines (ie.|
000002b0  20 57 68 61 74 20 4e 65  78 74 3f 3f 29 0d 01 68  | What Next??)..h|
000002c0  3f 20 63 6f 75 6e 74 65  72 3d 63 6f 75 6e 74 65  |? counter=counte|
000002d0  72 2b 31 3a e7 20 63 6f  75 6e 74 65 72 3d 31 30  |r+1:. counter=10|
000002e0  30 30 20 84 20 69 64 6c  65 3d b9 20 8c 20 f2 6e  |00 . idle=. . .n|
000002f0  65 78 74 28 a4 73 63 72  29 3a 3d 30 0d 01 72 06  |ext(.scr):=0..r.|
00000300  20 3a 0d 01 7c 13 20 6e  25 28 31 29 3d 28 41 31  | :..|. n%(1)=(A1|
00000310  20 80 20 31 29 0d 01 86  13 20 6e 25 28 32 29 3d  | . 1).... n%(2)=|
00000320  28 41 31 20 80 20 32 29  0d 01 90 13 20 6e 25 28  |(A1 . 2).... n%(|
00000330  33 29 3d 28 41 31 20 80  20 34 29 0d 01 9a 13 20  |3)=(A1 . 4).... |
00000340  6e 25 28 34 29 3d 28 41  31 20 80 20 38 29 0d 01  |n%(4)=(A1 . 8)..|
00000350  a4 19 20 e3 6c 3d 30 b8  31 3a e3 6d 61 3d 30 b8  |.. .l=0.1:.ma=0.|
00000360  6c 69 6e 6b 73 2d 31 0d  01 ae 59 20 e7 6d 25 28  |links-1...Y .m%(|
00000370  62 62 6e 6f 2c 6d 61 2c  30 29 3d 31 20 80 20 6e  |bbno,ma,0)=1 . n|
00000380  25 28 6d 25 28 62 62 6e  6f 2c 6d 61 2c 31 29 29  |%(m%(bbno,ma,1))|
00000390  3c 3e 30 20 80 20 6e 25  28 6d 25 28 62 62 6e 6f  |<>0 . n%(m%(bbno|
000003a0  2c 6d 61 2c 32 29 29 3c  3e 30 20 8c 20 6e 25 28  |,ma,2))<>0 . n%(|
000003b0  6d 25 28 62 62 6e 6f 2c  6d 61 2c 33 29 29 3d 31  |m%(bbno,ma,3))=1|
000003c0  0d 01 b8 5b 20 e7 6d 25  28 62 62 6e 6f 2c 6d 61  |...[ .m%(bbno,ma|
000003d0  2c 30 29 3d 32 20 80 20  28 6e 25 28 6d 25 28 62  |,0)=2 . (n%(m%(b|
000003e0  62 6e 6f 2c 6d 61 2c 31  29 29 3c 3e 30 20 84 20  |bno,ma,1))<>0 . |
000003f0  6e 25 28 6d 25 28 62 62  6e 6f 2c 6d 61 2c 32 29  |n%(m%(bbno,ma,2)|
00000400  29 3c 3e 30 29 20 8c 20  6e 25 28 6d 25 28 62 62  |)<>0) . n%(m%(bb|
00000410  6e 6f 2c 6d 61 2c 33 29  29 3d 31 0d 01 c2 57 20  |no,ma,3))=1...W |
00000420  e7 6d 25 28 62 62 6e 6f  2c 6d 61 2c 30 29 3d 33  |.m%(bbno,ma,0)=3|
00000430  20 80 20 6e 25 28 6d 25  28 62 62 6e 6f 2c 6d 61  | . n%(m%(bbno,ma|
00000440  2c 31 29 29 3d 30 20 8c  20 6e 25 28 6d 25 28 62  |,1))=0 . n%(m%(b|
00000450  62 6e 6f 2c 6d 61 2c 33  29 29 3d 31 20 8b 20 6e  |bno,ma,3))=1 . n|
00000460  25 28 6d 25 28 62 62 6e  6f 2c 6d 61 2c 33 29 29  |%(m%(bbno,ma,3))|
00000470  3d 30 0d 01 cc 5b 20 e7  6d 25 28 62 62 6e 6f 2c  |=0...[ .m%(bbno,|
00000480  6d 61 2c 30 29 3d 34 20  80 20 28 6e 25 28 6d 25  |ma,0)=4 . (n%(m%|
00000490  28 62 62 6e 6f 2c 6d 61  2c 31 29 29 3c 3e 30 20  |(bbno,ma,1))<>0 |
000004a0  82 20 6e 25 28 6d 25 28  62 62 6e 6f 2c 6d 61 2c  |. n%(m%(bbno,ma,|
000004b0  32 29 29 3c 3e 30 29 20  8c 20 6e 25 28 6d 25 28  |2))<>0) . n%(m%(|
000004c0  62 62 6e 6f 2c 6d 61 2c  33 29 29 3d 31 0d 01 d6  |bbno,ma,3))=1...|
000004d0  58 20 e7 6d 25 28 62 62  6e 6f 2c 6d 61 2c 30 29  |X .m%(bbno,ma,0)|
000004e0  3d 35 20 80 20 6e 25 28  6d 25 28 62 62 6e 6f 2c  |=5 . n%(m%(bbno,|
000004f0  6d 61 2c 31 29 29 3c 3e  30 20 8c 20 6e 25 28 6d  |ma,1))<>0 . n%(m|
00000500  25 28 62 62 6e 6f 2c 6d  61 2c 33 29 29 3d 31 20  |%(bbno,ma,3))=1 |
00000510  8b 20 6e 25 28 6d 25 28  62 62 6e 6f 2c 6d 61 2c  |. n%(m%(bbno,ma,|
00000520  33 29 29 3d 30 0d 01 e0  07 20 ed 2c 0d 01 ea 18  |3))=0.... .,....|
00000530  20 f4 20 43 61 6c 63 75  6c 61 74 65 20 6f 75 74  | . Calculate out|
00000540  70 75 74 73 0d 01 f4 13  20 6f 31 3d 41 31 3a f2  |puts.... o1=A1:.|
00000550  72 65 66 65 72 65 65 0d  01 fe 39 20 52 25 3d 30  |referee...9 R%=0|
00000560  3a e3 7a 3d 31 b8 74 6f  74 61 6c 6f 75 74 3a 52  |:.z=1.totalout:R|
00000570  25 3d 32 2a 52 25 2d 28  6e 25 28 6e 6f 25 2d 74  |%=2*R%-(n%(no%-t|
00000580  6f 74 61 6c 6f 75 74 2b  7a 29 3c 3e 30 29 3a ed  |otalout+z)<>0):.|
00000590  0d 02 08 41 20 f4 20 52  25 3d 41 42 53 28 49 4e  |...A . R%=ABS(IN|
000005a0  4b 45 59 28 2d 37 31 29  2b 32 2a 49 4e 4b 45 59  |KEY(-71)+2*INKEY|
000005b0  28 2d 31 30 32 29 2b 34  2a 49 4e 4b 45 59 28 2d  |(-102)+4*INKEY(-|
000005c0  39 38 29 2b 38 2a 49 4e  4b 45 59 28 2d 36 37 29  |98)+8*INKEY(-67)|
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000005e0  02 26 31 20 f4 20 4e 65  78 74 20 61 74 74 65 6d  |.&1 . Next attem|
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00000d6d
BioBot/NumPat/Num2.m0
BioBot/NumPat/Num2.m1
BioBot/NumPat/Num2.m2
BioBot/NumPat/Num2.m4
BioBot/NumPat/Num2.m5