more 2017
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2017/__pycache__/day03.cpython-36.pyc
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2017/__pycache__/day03.cpython-36.pyc
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2017/__pycache__/day06.cpython-36.pyc
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2017/__pycache__/day06.cpython-36.pyc
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2017/data01.txt
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2017/data01.txt
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57276274387944537823652626177853384411146325384494935924454336611953119173638191671326254832624841593421667683474349154668177743437745965461678636631863541462893547616877914914662358836365421198516263335926544716331814125295712581158399321372683742773423626286669759415959391374744214595682795818615532673877868424196926497731144319736445141728123322962547288572434564178492753681842244888368542423832228211172842456231275738182764232265933625119312598161192193214898949267765417468348935134618964683127194391796165368145548814473129857697989322621368744725685183346825333247866734735894493395218781464346951777873929898961358796274889826894529599645442657423438562423853247543621565468819799931598754753467593832328147439341586125262733737128386961596394728159719292787597426898945198788211417854662948358422729471312456437778978749753927251431677533575752312447488337156956217451965643454445329758327129966657189332824969141448538681979632611199385896965946849725421978137753366252459914913637858783146735469758716752765718189175583956476935185985918536318424248425426398158278111751711911227818826766177996223718837428972784328925743869885232266127727865267881592395643836999244218345184474613129823933659422223685422732186536199153988717455568523781673393698356967355875123554797755491181791593156433735591529495984256519631187849654633243225118132152549712643273819314433877592644693826861523243946998615722951182474773173215527598949553185313259992227879964482121769617218685394776778423378182462422788277997523913176326468957342296368178321958626168785578977414537368686438348124283789748775163821457641135163495649331144436157836647912852483177542224864952271874645274572426458614384917923623627532487625396914111582754953944965462576624728896917137599778828769958626788685374749661741223741834844643725486925886933118382649581481351844943368484853956759877215252766294896496444835264357169642341291412768946589781812493421379575569593678354241223363739129813633236996588711791919421574583924743119867622229659211793468744163297478952475933163259769578345894367855534294493613767564497137369969315192443795512585
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2017/data02.txt
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2017/data02.txt
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179 2358 5197 867 163 4418 3135 5049 187 166 4682 5080 5541 172 4294 1397
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2637 136 3222 591 2593 1982 4506 195 4396 3741 2373 157 4533 3864 4159 142
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1049 1163 1128 193 1008 142 169 168 165 310 1054 104 1100 761 406 173
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200 53 222 227 218 51 188 45 98 194 189 42 50 105 46 176
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299 2521 216 2080 2068 2681 2376 220 1339 244 605 1598 2161 822 387 268
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1043 1409 637 1560 970 69 832 87 78 1391 1558 75 1643 655 1398 1193
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90 649 858 2496 1555 2618 2302 119 2675 131 1816 2356 2480 603 65 128
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2461 5099 168 4468 5371 2076 223 1178 194 5639 890 5575 1258 5591 6125 226
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204 205 2797 2452 2568 2777 1542 1586 241 836 3202 2495 197 2960 240 2880
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560 96 336 627 546 241 191 94 368 528 298 78 76 123 240 563
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818 973 1422 244 1263 200 1220 208 1143 627 609 274 130 961 685 1318
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1680 1174 1803 169 450 134 3799 161 2101 3675 133 4117 3574 4328 3630 4186
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1870 3494 837 115 1864 3626 24 116 2548 1225 3545 676 128 1869 3161 109
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890 53 778 68 65 784 261 682 563 781 360 382 790 313 785 71
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125 454 110 103 615 141 562 199 340 80 500 473 221 573 108 536
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1311 64 77 1328 1344 1248 1522 51 978 1535 1142 390 81 409 68 352
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512
2017/data04.txt
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2017/data04.txt
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una bokpr ftz ryw nau yknf fguaczl anu
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tvay wvco bcoblpt fwzg sfsys zvuqll mcbhwz ovcw fgdy
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ynsocz vid rfmsy essqt fpbjvvq sldje qfpvjvb
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yvh nxc kla vhy vkbq cxfzgr
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kljv ymobo jlvk ebst cse cmlub tavputz omoby psif
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ebfuvvu paqgzri uvvubef hglk jvn gzeln bdl ziqgpra bzcfa
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tclq ytw tclq tezcqys
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qae eofr yzwcwqf wqm ytcdnc pxnmkw
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krryi irykr ycp lbeed ykrir lhq rdd tyujwd
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hms pii lxoa dchsvz bepjwst bllxkqg hsm yrdj myzvju msh lwnnc
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yxqh hqxy xkn ljjsqjh jjljshq
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mhgsehj urbvnvf gbz ykxsd hsmgehj wtoc ujpfaos eir vifog tsy kdo
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wfruf wwijme pxbbsvf asmgs ccbn vwtc mkhah oxxfh
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lxqy jzvcvd cfgg uahxrwr dqmaqr bwzm wruxhra lrb lmk
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jspgxo yuhgni njzqtn zglkzz ybc itj orqr zgqwuoo mjagh erll srqrk
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cbrtnbx ukblei ienmdm sinzq lytyliz mma lizylty zeumwgu
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aeggz eljcry buqdeog dvjzn ilvw arz vep kxdzm mvh szkf
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imn sfty ugg flqq nydky mni bkqzlok wye lehwlmp xeyfmj
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beyv oamrpkc tebdkwv zlq jes mqvif sej qpsnmjz edvtbkw
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hylmacl wwlra xntnvg ppvb bzof cymllha
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qktxomf ngfpuz qqz malc zxuqz szg zis vzro rfpgk
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phru sxlg qzqlw uej vmd omzga jue
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drzgojf ttqdqar weikik wvrjtxi gbj jramqh nlwoj drzgojf bgabmn xqlaeun
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aiuohu pca apkmv cpa kmvpa nmdn
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gelymv eto itcnuhn ote teo
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oxiz xzio kqu wwgow
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picoyb coibpy acsw ehlirq deyz gymqvz opicyb vuet lrl
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zerg rezg miwtjgw gezr cui
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mlh qlu ktil tnlgnrk bfqbk pgg qxeyd noadmjo nonlsh eqxdy
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yqqaq yqqqa xod oss
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mkotw bznvs xowoofq sebp wsgpsmn fytcpc vvmzr vmzrv xwtxz zrvvm
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dvs twhz teqmlow oqg sjetxd aku cwl qfvrkex mndsio hfg
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itdl qwdagkk wli tdil vlgur dyl xvfm
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wlmyd dwmlx zhmqd zqmhd edzsvmz yclg umpq
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petva gazw byrca pvaet epkoqh nlp vqfl vatpe
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rykn ckr dijkme kmiedj ozlh deikmj
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kuecjh sfqv pojfzf fjopzf fjpfzo amxtc
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hri gglmial lrwbyc memgszu hir cfwlg ylcrwb
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rxrfbtv pwpra fngt auh rapwp zrruuq uah
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cevc utfd ysrfcw nnlg fnqtx aua htteunu mrjhhj
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tvnxznj mvpagt nqmxvnl mutn ntmu eybh vkqeaj frayclp
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ygktzxo lzwwy qsipu nwb jdmw pahao paow mwjd uivqbnj woap nyyogcc
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log zihz rsmx ixfr xwvd osg zxc gol ufnbig
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dogve cnb osa xbafl vefr nxlw yjgquui
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ucyl aaoae ktjvi fyps xvjhpbh iiur tuc
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pqt jasxg ehhs lzjzzzl sqmmj vwyva eklbtv hksanb fuesnd oyw fuesdn
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uankv wesi frhpau qiucu lim uzbdapf ciwjd tifbqxh tfbtsdi
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vgjd izpofu fqjpcct phuz
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cfg cfg rgahl frm emn pbfsmgy frm jemwqgn sfpm azunntj igl
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daps hpe fqg err sapd dci vbzlqx gsigq eyp rre
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iuqyqdy djprdj mgtkdxr pwmkzv wmkvzp hppisd pidphs
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rlr rrl vhevh cucprc xki urte lrr zfc xrqydzk ipjkyxj kytul
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jwbkaee rgyjl rjljbwe ppq plp pfts ijd ckpvmw mbdrqh zolt lzmr
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alw law awl wknavtb esklsbj wvssyai
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aqy ldf qdht soxkg qtfipe nsdm aqe rtlc fbqrk ius gybbhxr
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xteov wgqoqim nlz szlj oxevt xwb
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tmgdst fyn oul tsohzbq ltmxji fgops gatssx zxdzfc talb
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zkvjpu jnhtc nxs jqv pyoqz zsj ckwd xot ykai
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fxfarre yjbxvj lqfaglo mbxuv bmuxv bxumv
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yrhi uosldj hryi fwres ycygw ycvxze zevxyc iyk
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yphev xisbai xdb hzrbg ayxbhdx qnvbus pwc
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wytqraw yvurj erqckl rvrvda xsh gsd bxtm acxle gpndk
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kpvjtu vacggk oabcuoq qusf zitqpgn pbyq ocabouq ntpgizq gaiiry dke
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frz ceozajo ljltawq tjepzp iflv
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zntejm dkfgc ysno noys sony muy
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qdnyvvw oykq bnmldt zjgauw pviurd cbcnl tnkhq ebsey bccln arvwe
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iqazt xidjgom wcrdz itht lfh ifzwkj rwqxhy ervcgmt vojg lzntz ezg
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tlcxioh qvvkan wpi ody
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mhsy dwm hyms yegvvc
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hbkvi wvemc uwxgqf pwrgu wcy wxqfgu qkzppc vxcwdwd rcgp ivjd wmevc
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upc ucp cpu unmr pyod
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bqfew ebwfq paccwh phgc fchhr jrnio
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abh bjalls bdtac zzvt totdlc yptqmgu rpcin bch cqklqly
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bsnss qcsgi tegyz lqoqkpf qvatlyu ibza mzfotsk lye oqqf mnor
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lzrxca stkbn axhr wckbip bsntk ahrx
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oricdw cnpte dbz nqx xloxc bdz fdsl uyvgi nvoy ezbi
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nlcqye ofta jcvqvtg yxduyh btawc tjgvqvc tcvqjvg
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nji znctdfm kkmp pmt ikhl jjoubc xnp zdctnmf covvmsh ydh ircplcm
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yafkuk yasqsyt ytqayss nusgb ukfyka
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yogcf emg jlkd blupemf axg wihhrb ysernt yznhz
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gmc yyqtgp use lohoit
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lclwa ojjkm rxr rrx
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punyfv iphw ddbc jghx lrssszc bepexv sicpy syicp lszrscs vrqjb
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rjanra juh hljdmad scu usc baifu ijs suc bgdbbv
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slenm xxod vhf amhts
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mrrduda mrrduda lwecwjv lwecwjv vvzmjla cjipv
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ulyvfrf zsup zfryjy xoo agdsd giw papa ljtu rzbjiq wrex
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bzpv svpuyov mklrct uzox
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fxs iypd uaqch kxazj ksjyv
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uxaommf xtq uubbfk bmlq kdhgjzg oxwpag itfij irmkjx ggod sddcyo bopn
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lch plmvfni qbjr dnu zjcod qlwax gejmyj gxjqm mfzkb gejmyj
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yoa thrfbto wposvrm amulogu mcqzfax fjquli oay
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kywj kqqhney ozuljxz wqwfte ubo mjj anhhg aphy ocfnef yhin ywnx
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vxuledm wllj obqtsrr jwll uvmelxd xvj gbwte
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hevc bitwu ydw ywd btiwu iuether gfe
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dzn ssmfpel wbbdeyt xge hrfi
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zebz ifhq euto ppfnrwc winkkj
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utuly wtdt iahpe ihtxwmh zxun bqluj hsaxgcs ytluu jlfnnuv drxlctr myhp
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kwxgy hreul rsnh wdmsx kkajywb
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bond djq kccazc zvzcie hndm myx cmhyhkc ove ord dqj
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zcong tekgn pbzs ywqgqgu eizrx ypydeku yqyjdjp dwsu zxire zcgon iggnvf
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tkioh hflkm fsjz gisjbi otikh
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ccdqqm fdabbne fyd lbyqm cyzgtd puitvjz nluf hirrpxd tgxrg vvl
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hjnygbz fnu twwbp xqw pfdlt uoalyme rsd muayeol ezcq
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kubeooi bxgwoun paogjs twvwlji opsajg higbdfi aazo evmj
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sfipxe mqbkmrn plwqd zvq nmvom fyfbs nbs qkrbmmn eym kqnrmbm
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lwho lohw ylhd dej lydh vsfffsm
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icljgu gluijc vthqx orynv xhvqt
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biav elxkct mtaw nlafk snyr cbqdwim blim rtrqmc wze cxktel
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dxspk yge kcqjqpz ulb hoe mfx nwayo
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rdnmmh gyqd qhxrzj dgizu lyittbv txngpdg fiu mwd ndp oks vxnxybi
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qahp zwn ualtk txbt cbthj xchqy pirucp povdwq
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bkblpr vgafcy alju aiyqe eebtsyu buve hdesodl pspbohw
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pfgxekl vswgxhb qyn mykn jimiatq zkcz jimiatq kaexgxm mykn
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xegwn upudt dew uqjrcl abyof hbtiko wxgne sorgno etm
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brrlqu twdt urblrq twtd
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hqb qbh gxdl mwjn cmfsmik
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latakk yxxbw evy vey
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odkvw ojgveb jhg qwhkyoh btvu qbfot nouv owgtsi pdwbmfn pmvcv dnqbo
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tmka qqnty knz swi fyvmt ikcdu jfjzsfu dshgi cosacuj szjjuff
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eanet uua fbztk bzkft
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jepi hyo jgzplr jyqk zzcs iepj hfamvu bfgbz sjsnf lprgzj
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mlca ywko mtg vkfv ojka zbelq qkaujs simt kafq qtycfzo
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sqh omv llvra ecvxmtx dpnafv llvszx xzlsvl quj ufnhvod faraf fivmnl
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pvxlls fzeoav ahgv uhq nodcr cohy vqisgaj jsfcyur dbohh
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ztccbwk okv vok kov ywel
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sssnb kxly mgvaz jpffkq bysbwwu rfnkm eycp ipyd hyi wjew
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obdfqmh flkm semednj iafewg lvh uwa ciepe
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zmldp ykffe gtehz qlmvule edrtzg prund oagwto qia bvyxur
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kjok neno qbxh wqgkkt ympclso poyclsm cajgnnn
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paqili kur sfit jbqchzx bhjqzxc
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fhghm ubtaana qbn autnaab aaaunbt vmz
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exlrl hfnpq zgdwx smix nyg ogccrhj iimhhwc uhcldo oydwxp kqc jxxpycv
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wtdqjfh ialoqr zeej ipoh qtjdwhf wdhqftj
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jcgug cmtvmu ynhnilj txlv uemowyu cvrool oolcvr njr cxqntdh
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uhtwtp tgnc jmmjl utiu jfxtsoz cxwqcz
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qntxl lyownp tsp tps mixyge rqfqumc bxjiry zmaj azjm
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abt bat tftvm nyjs jyns
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hzsdh pwthfvm cedg hzsdh rsxtehn owh cedg
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hcoiny aqbeme eeuigt pocpvox tiugee rwb tvgmyc ojg hgdaf
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mzlwcfc uoobo bouoo tvgvmiu evsfkm popgm evmfsk ehxvits vebxbmd qhmz jzj
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mypgg jbpx vgeb ahvjl zbm ancdzfy wytkcq
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bivscw zmzmjxu jzm fwb ujefxp jzsiskp cgx atcj sszikjp cxg nqvxga
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vvurbxp iry zlz gfnlpuy npyugfl
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fpmee mhj iul lui liu
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||||||
|
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|
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|
||||||
|
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|
||||||
|
tarm jboyg gbyjo pgalg xugzt bph mart
|
||||||
|
yur wrrahr fnnfqu rwhrar cdq
|
||||||
|
mukod gueg guge epalg xjkctt
|
||||||
|
hub hbu hbzul buh sqfl
|
||||||
|
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|
||||||
|
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|
||||||
|
zunmk hxpney nphxey znmku
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
ahpn xnzeof wxbv chxpcu jmso age ojsm bqonfki hqhrkw
|
||||||
|
mfupm vvig ndqbbm jlw
|
||||||
|
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|
||||||
|
wkwkae odq rsrnqk nslczz hiyyhur kuw mjbuwll vduvod ryhuhiy swo tsos
|
||||||
|
znkufyx jejrdno knr wkx ikrlly tnxtj
|
||||||
|
iizdiw iizdiw hukep rwj eaq ptm klta rwj onaz
|
||||||
|
znb egqy qqnc igqr ikza ojgzkr xaen kurb pyckxvt wqx
|
||||||
|
pbohpw bphowp dajwdpp kotevs
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
phwco ggcj cggj ergpqmc kcz
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
kdnik knkdi dinkk xwvqa gvii
|
||||||
|
cifbkpt zye xhwnrhm fctibpk sbn pdqry emkye kzyjpa plzkc btkfcip gcchi
|
||||||
|
kekfr fufp dfy eqebgko obbn nuh
|
||||||
|
zixfbus skuf bea gimbqq caubhto eba uvkovz xisfzub peukmyn
|
||||||
|
okihcgh gazrc slee vlnwyg geviex eesl nmnvk rcbv ycupyw
|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
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|
||||||
|
zzekhfi akb lupta sgtd qapznzf lgidsx lidsgx akgmq ettuwjq xyumf
|
||||||
|
dxhpku lwoxpim gwb lhjmoh gxqapd ntmvc rvwwszg pvin lwoxpim coubc
|
||||||
|
qia bxmremo rjf vaeio eqexwz wuoz sguf bsbusof xqeewz
|
||||||
|
iczzz krf hbq tsgrih mzjabrt sfnwrm djignf zwac cwaz dgc nsrfmw
|
||||||
|
yvarsva zzpbp yai und kkbinr zlyj nyxxof ggrgu vyk eib
|
||||||
|
nepzm yrrgr vrlhbv hykmiog natrqx jvpq nbyhe zuo grx nwl
|
||||||
|
cfboeev hcn yfobyx cqvlo obctww xxaux ofybxy wouguq avuztl xmgqq xyofby
|
||||||
|
tikv uvzp oxopqy reh uzvp wefka vli kied gngks vbz thfsxyt
|
||||||
|
exxvknp pucbdyl dboto tzat qze xyinygz mhzl ubahr ekxbtk
|
||||||
|
jcz ufszbi pknsfgb ivok ijau okxolj etecn aurun zsa gbxs uryx
|
||||||
|
ypnb ousd osg mvset ipffzdn dfinfpz ltescx
|
||||||
|
taeoct aoetct aocett ttda fcdqnxv
|
||||||
|
bimtlk ssax bmrifkr vfxdmq hglp rgzr zpvk zhxtq rndwy mmr arkr
|
||||||
|
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|
||||||
|
xavkwou yvx ouwkxva otbe uzr mmw atq yiy ghavd qta pqlhv
|
||||||
|
omzht vsdsc zhtmo hmotz
|
||||||
|
eqt wtveez syift shtfnc hmckjxa apwbvn yme okdl hbihdtv hxahns eetvwz
|
||||||
|
rokdg ndjw hprxjc viys mbcctod dbvd
|
||||||
|
lhzb fyxf xaslmi sjd vqp grxhmfe snetfv mgivd uaknj givkdi
|
||||||
|
gxkxl kqcdnl rna jhcuepd npiedg djcpheu huce njryw bjluhq bvedvl kqxu
|
||||||
|
sogh uym atpzuwx vjgbe xgrvkg thgbyn mptcebt rkro
|
||||||
|
tnpxw uxrqxd lajmsmr tnnlt vrvbf deret hkmvrs eubvkn kks hjq
|
||||||
|
rcdoa zfja vod supip dvo
|
||||||
|
zbxdo xglqv how mgoq jqrdou pwrminc lidi nfs xglqv lidi
|
||||||
|
ldmnp dnqn ahhr tha mvsbsfh rpm rgus faf tjash
|
||||||
|
ewrdol jqhfpf rckj mrxlwj redjg bmxprx grla
|
||||||
|
rhr jksebwa vtu skwaejb vut
|
||||||
|
wrx iqvrjh atrt xrw vtqo tkcasd xedjh zkqrh vvhj
|
||||||
|
owc qlzygar uajwwe obzl inxawur
|
||||||
|
crbtrf phvy nzipo rctbfr trrcbf
|
||||||
|
vwuun wcfhhzo vxxjdt fbf bqtmmhs bffqcna
|
||||||
|
wkxfxmv zmrkyh sggw whwcw zukynw
|
||||||
|
lsdiy lnbn kblxi qfyib irfl mymrr zqbl
|
||||||
|
gwdkeu ghn afry zxoz fary uzntlnk kee xtnop ptnox zngoran
|
||||||
|
lgs lsg sgeseiz gsl
|
||||||
|
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|
||||||
|
jtmodqx yjcsfcl zosugm jrekfdw xxbdqnx fcha
|
||||||
|
vio tlfxokx xaoq pydeiq glxsuzm honifvf maiuzsy uizsyam eco
|
||||||
|
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|
||||||
|
qff qff sde ryv
|
||||||
|
eiii jazx nlehtx tnhvxl rzvsjo qkupif feypppe tefxr wdjmlc
|
||||||
|
pdrr mwuy wccd rxla drpr enbbap
|
||||||
|
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|
||||||
|
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|
||||||
|
fycoaw palkpz yrkg kappzl ncjym mergg kryg
|
||||||
|
eqy npvgh ghafkro piqnogb polacs qye hnvpg
|
||||||
|
dxyy udhmz jij tqsuic qxz erctv
|
||||||
|
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|
||||||
|
jkp ofej waibl opqhmww ifnczcg jdtkbc lil isc ill mylvuv
|
||||||
|
vqbcosk yhhsy gasmj bspx peakt cjtekw hvzo ywe qcvbosk ohzv qddt
|
||||||
|
edq llbvsx vedyvlm gou wkecank rkgf ziyrr belgo tbz
|
||||||
|
wbome vhzf ztk zaxiu ywjb supuf beq sxq spuuf pufus
|
||||||
|
femu ymkdoew kjynct aia
|
||||||
|
yjymr orovqj aremii licw bdtnc
|
||||||
|
uyade fbx duaye ujtvpn
|
||||||
|
yzvp pvzgjp yofcvya gvkkoh cafyvoy mhsm okhkvg
|
||||||
|
xuh qkaf dmi imd tzmlce mqkxj qilrc dim cadotvy
|
||||||
|
azpqgb kyc aflgyaf laagffy kesmk jzyzaer taf bpkbzdg
|
||||||
|
ogd dbdlh dqt zaaloh
|
||||||
|
exal vgnfx omu omepvwf szcwq snz bptite bzqyxl khmblyc sse emg
|
||||||
|
yqcbwsn aihhf tqck tcqk wqwqy cfez xahpn
|
||||||
|
qqbuf lil ies tqu pyxhqp mnfuk azj
|
||||||
|
vwma rzdtgl mxbasw nwgjav mwav
|
||||||
|
itpjfq rrgyt hralwm fqrig btwcod
|
||||||
|
ydjd kmk fvwr wrfv yvhw mkk
|
||||||
|
xbsxub yhsj xzbuf ace xubbsx fzuxb vxk
|
||||||
|
ttsist vubpf mhwkmtx vlj hdsva kmmhtwx ukxr upfvb tbma fxsrnxl hzwufho
|
||||||
|
wckjvz unmtev egxts ihw topvw ptowv rnihhmq
|
||||||
|
gpdtl kcric nwg ssbs qah aarp ydsdty ngw
|
||||||
|
lzhxbbq oktvcw xbasqe owtmwgp koa gumjie sodwrp hqsw aqh dtgsbb
|
||||||
|
xjbyy mxfxa ogvk nqiy qyni ldqwryj niyq jjixc
|
||||||
|
uhbul daccgva xtiz dim uhbul yjmakv yjmakv
|
||||||
|
huo esajup ouj oju ujo
|
||||||
|
eeeu hwvsk jfkmds okhi pogskfm itdlbll
|
||||||
|
lpyubo dylpfb iehwug decj ntidy cuygyg lalkb iutu oxgm imn
|
1066
2017/data05.txt
Normal file
1066
2017/data05.txt
Normal file
File diff suppressed because it is too large
Load Diff
1
2017/data06.txt
Normal file
1
2017/data06.txt
Normal file
@ -0,0 +1 @@
|
|||||||
|
0 5 10 0 11 14 13 4 11 8 8 7 1 4 12 11
|
1317
2017/data07.txt
Normal file
1317
2017/data07.txt
Normal file
File diff suppressed because it is too large
Load Diff
25
2017/day01.py
Normal file
25
2017/day01.py
Normal file
@ -0,0 +1,25 @@
|
|||||||
|
from collections import deque
|
||||||
|
|
||||||
|
with open('data01.txt') as f:
|
||||||
|
data = f.read().strip()
|
||||||
|
|
||||||
|
|
||||||
|
d = deque(data)
|
||||||
|
total = 0
|
||||||
|
|
||||||
|
'''
|
||||||
|
#part 1
|
||||||
|
for i in range(len(data)):
|
||||||
|
if d[0] == d[1]:
|
||||||
|
total += int(d[0])
|
||||||
|
d.rotate()
|
||||||
|
'''
|
||||||
|
|
||||||
|
# part 2
|
||||||
|
half = len(data) // 2
|
||||||
|
for i in range(len(data)):
|
||||||
|
if d[0] == d[half]:
|
||||||
|
total += int(d[0])
|
||||||
|
d.rotate()
|
||||||
|
|
||||||
|
print(total)
|
27
2017/day02.py
Normal file
27
2017/day02.py
Normal file
@ -0,0 +1,27 @@
|
|||||||
|
with open('data02.txt') as f:
|
||||||
|
rows = f.readlines()
|
||||||
|
|
||||||
|
|
||||||
|
'''
|
||||||
|
# part 1
|
||||||
|
diffs = []
|
||||||
|
for r in rows:
|
||||||
|
cells = [int(c) for c in r.split()]
|
||||||
|
diffs.append(max(cells) - min(cells))
|
||||||
|
|
||||||
|
print(sum(diffs))
|
||||||
|
'''
|
||||||
|
|
||||||
|
# part 2
|
||||||
|
from itertools import combinations
|
||||||
|
|
||||||
|
rows = [[int(x) for x in r.split()] for r in rows]
|
||||||
|
divs = []
|
||||||
|
for row in rows:
|
||||||
|
for pair in combinations(row, 2):
|
||||||
|
hi, lo = max(pair), min(pair)
|
||||||
|
if hi % lo == 0:
|
||||||
|
divs.append(hi // lo)
|
||||||
|
break
|
||||||
|
|
||||||
|
print(sum(divs))
|
93
2017/day03.py
Normal file
93
2017/day03.py
Normal file
@ -0,0 +1,93 @@
|
|||||||
|
class Walker:
|
||||||
|
def __init__(self):
|
||||||
|
self.x = 0
|
||||||
|
self.y = 0
|
||||||
|
self.address = 1
|
||||||
|
self.current_radius = 0
|
||||||
|
self.cells = {(0, 0): 1}
|
||||||
|
|
||||||
|
def right(self):
|
||||||
|
self.x += 1
|
||||||
|
self.address += 1
|
||||||
|
|
||||||
|
def left(self):
|
||||||
|
self.x -= 1
|
||||||
|
self.address += 1
|
||||||
|
|
||||||
|
def up(self):
|
||||||
|
self.y += 1
|
||||||
|
self.address += 1
|
||||||
|
|
||||||
|
def down(self):
|
||||||
|
self.y -= 1
|
||||||
|
self.address += 1
|
||||||
|
|
||||||
|
def walk(self):
|
||||||
|
# check if time to switch bands
|
||||||
|
if self.x == self.current_radius and self.y == -1 * self.current_radius:
|
||||||
|
self.right()
|
||||||
|
self.current_radius += 1
|
||||||
|
self.populate_cell()
|
||||||
|
return
|
||||||
|
|
||||||
|
# figure out side and move accordingly
|
||||||
|
if abs(self.y) < self.current_radius: # left or right
|
||||||
|
if self.x > 0: # right
|
||||||
|
self.up()
|
||||||
|
else: # left
|
||||||
|
self.down()
|
||||||
|
elif abs(self.x) < self.current_radius: # top or bottom
|
||||||
|
if self.y > 0: # top
|
||||||
|
self.left()
|
||||||
|
else: # bottom
|
||||||
|
self.right()
|
||||||
|
else: # corner
|
||||||
|
if self.x > 0 and self.y > 0: # top right
|
||||||
|
self.left()
|
||||||
|
elif self.x < 0 and self.y > 0: # top left
|
||||||
|
self.down()
|
||||||
|
elif self.x < 0 and self.y < 0: # bottom left
|
||||||
|
self.right()
|
||||||
|
elif self.x > 0 and self.y < 0: # bottom right
|
||||||
|
self.up()
|
||||||
|
self.populate_cell()
|
||||||
|
|
||||||
|
def populate_cell(self):
|
||||||
|
total = 0
|
||||||
|
for dx in 1, 0, -1:
|
||||||
|
for dy in 1, 0, -1:
|
||||||
|
if dx != 0 or dy != 0:
|
||||||
|
coords = (self.x + dx, self.y + dy)
|
||||||
|
total += self.cells.get(coords, 0)
|
||||||
|
self.cells[self.x, self.y] = total
|
||||||
|
|
||||||
|
def test(self, steps=1):
|
||||||
|
for i in range(steps):
|
||||||
|
self.walk()
|
||||||
|
self.display()
|
||||||
|
|
||||||
|
def display(self):
|
||||||
|
print('Address:', self.address)
|
||||||
|
print('Value:', self.cells[self.x, self.y])
|
||||||
|
print(f'Position: ({self.x}, {self.y})')
|
||||||
|
print('Radius:', self.current_radius)
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
n = 325489
|
||||||
|
walker = Walker()
|
||||||
|
'''
|
||||||
|
# part 1
|
||||||
|
while walker.address < n:
|
||||||
|
walker.walk()
|
||||||
|
|
||||||
|
walker.display()
|
||||||
|
|
||||||
|
print('Distance:', abs(walker.x) + abs(walker.y))
|
||||||
|
'''
|
||||||
|
|
||||||
|
# part 2
|
||||||
|
while walker.cells[walker.x, walker.y] <= n:
|
||||||
|
walker.walk()
|
||||||
|
|
||||||
|
walker.display()
|
||||||
|
|
34
2017/day04.py
Normal file
34
2017/day04.py
Normal file
@ -0,0 +1,34 @@
|
|||||||
|
from itertools import combinations
|
||||||
|
from collections import Counter
|
||||||
|
|
||||||
|
with open('data04.txt') as f:
|
||||||
|
phrases = [r.strip() for r in f.readlines()]
|
||||||
|
|
||||||
|
def test_words(phrase):
|
||||||
|
words = phrase.split()
|
||||||
|
unique = set(words)
|
||||||
|
return len(unique) == len(words)
|
||||||
|
|
||||||
|
def test_anagrams(phrase):
|
||||||
|
words = phrase.split()
|
||||||
|
for a, b in combinations(words, 2):
|
||||||
|
if Counter(a) == Counter(b):
|
||||||
|
return False
|
||||||
|
return True
|
||||||
|
|
||||||
|
|
||||||
|
total = 0
|
||||||
|
|
||||||
|
'''
|
||||||
|
# part 1
|
||||||
|
for phrase in phrases:
|
||||||
|
if test_words(phrase):
|
||||||
|
total += 1
|
||||||
|
'''
|
||||||
|
|
||||||
|
# part 2
|
||||||
|
for phrase in phrases:
|
||||||
|
if test_anagrams(phrase):
|
||||||
|
total += 1
|
||||||
|
|
||||||
|
print(total)
|
28
2017/day05.py
Normal file
28
2017/day05.py
Normal file
@ -0,0 +1,28 @@
|
|||||||
|
with open('data05.txt') as f:
|
||||||
|
data = f.readlines()
|
||||||
|
|
||||||
|
jumps = list(map(int, data))
|
||||||
|
steps = 0
|
||||||
|
i = 0
|
||||||
|
|
||||||
|
'''
|
||||||
|
# part 1
|
||||||
|
while i < len(jumps):
|
||||||
|
old = i
|
||||||
|
i += jumps[i]
|
||||||
|
jumps[old] += 1
|
||||||
|
steps += 1
|
||||||
|
'''
|
||||||
|
|
||||||
|
# part 2
|
||||||
|
while i < len(jumps):
|
||||||
|
j = jumps[i]
|
||||||
|
if j > 2:
|
||||||
|
jumps[i] -= 1
|
||||||
|
else:
|
||||||
|
jumps[i] += 1
|
||||||
|
i += j
|
||||||
|
steps += 1
|
||||||
|
|
||||||
|
|
||||||
|
print(steps)
|
39
2017/day06.py
Normal file
39
2017/day06.py
Normal file
@ -0,0 +1,39 @@
|
|||||||
|
with open('data06.txt') as f:
|
||||||
|
initial_banks = list(map(int, f.read().split()))
|
||||||
|
|
||||||
|
class Memory:
|
||||||
|
def __init__(self, banks):
|
||||||
|
self.banks = banks
|
||||||
|
|
||||||
|
def reallocate(self):
|
||||||
|
index = self.banks.index(max(self.banks))
|
||||||
|
blocks = self.banks[index]
|
||||||
|
self.banks[index] = 0
|
||||||
|
for b in range(blocks):
|
||||||
|
target = (index + b + 1) % len(self.banks)
|
||||||
|
self.banks[target] += 1
|
||||||
|
|
||||||
|
|
||||||
|
mem = Memory(initial_banks)
|
||||||
|
seen = {tuple(mem.banks)}
|
||||||
|
count = 0
|
||||||
|
|
||||||
|
while True:
|
||||||
|
mem.reallocate()
|
||||||
|
count += 1
|
||||||
|
snapshot = tuple(mem.banks)
|
||||||
|
if snapshot in seen:
|
||||||
|
break
|
||||||
|
else:
|
||||||
|
seen.add(snapshot)
|
||||||
|
|
||||||
|
count = 0
|
||||||
|
final = tuple(mem.banks)
|
||||||
|
|
||||||
|
while True:
|
||||||
|
mem.reallocate()
|
||||||
|
count += 1
|
||||||
|
if tuple(mem.banks) == final:
|
||||||
|
break
|
||||||
|
|
||||||
|
print(count)
|
74
2017/day07.py
Normal file
74
2017/day07.py
Normal file
@ -0,0 +1,74 @@
|
|||||||
|
from collections import defaultdict
|
||||||
|
|
||||||
|
with open('data07.txt') as f:
|
||||||
|
lines = f.readlines()
|
||||||
|
|
||||||
|
class Tree:
|
||||||
|
def __init__(self):
|
||||||
|
self.items = {}
|
||||||
|
|
||||||
|
def __getitem__(self, item):
|
||||||
|
if item in self.items:
|
||||||
|
return self.items[item]
|
||||||
|
else:
|
||||||
|
return Tree()
|
||||||
|
|
||||||
|
def __setitem__(self, key, item):
|
||||||
|
self.items[key] = item
|
||||||
|
|
||||||
|
|
||||||
|
programs = defaultdict(dict)
|
||||||
|
|
||||||
|
for line in lines:
|
||||||
|
pieces = line.split()
|
||||||
|
name = pieces[0]
|
||||||
|
weight = int(pieces[1][1:-1])
|
||||||
|
prog = programs[name]
|
||||||
|
prog.update({
|
||||||
|
'name': name,
|
||||||
|
'weight': weight
|
||||||
|
})
|
||||||
|
|
||||||
|
if len(pieces) > 3: # has children
|
||||||
|
children = [c.strip(',') for c in pieces[3:]]
|
||||||
|
prog['children'] = children
|
||||||
|
for child in children:
|
||||||
|
programs[child]['parent'] = name
|
||||||
|
|
||||||
|
# part 1
|
||||||
|
'''
|
||||||
|
p = lines[-1].split()[0]
|
||||||
|
while 'parent' in programs[p]:
|
||||||
|
p = programs[p]['parent']
|
||||||
|
|
||||||
|
print(p)
|
||||||
|
'''
|
||||||
|
|
||||||
|
# part 2
|
||||||
|
def weigh(p):
|
||||||
|
if 'children' not in p:
|
||||||
|
return p['weight']
|
||||||
|
else:
|
||||||
|
total = p['weight']
|
||||||
|
for c in p['children']:
|
||||||
|
child = programs[c]
|
||||||
|
total += weigh(child)
|
||||||
|
return total
|
||||||
|
|
||||||
|
for prog in programs.values():
|
||||||
|
prog['total_weight'] = weigh(prog)
|
||||||
|
|
||||||
|
current = 'qibuqqg'
|
||||||
|
while 'children' in programs[current]:
|
||||||
|
weights = defaultdict(list)
|
||||||
|
for c in programs[current]['children']:
|
||||||
|
child = programs[c]
|
||||||
|
weight = child['total_weight']
|
||||||
|
weights[weight].append(c)
|
||||||
|
if len(weights) == 1:
|
||||||
|
break
|
||||||
|
else:
|
||||||
|
children = sorted(weights.values(), key=lambda x: len(x))
|
||||||
|
current = children[0][0]
|
||||||
|
|
||||||
|
print(programs[current])
|
Loading…
x
Reference in New Issue
Block a user