2024: d19: ex2: add solution

2024: d19: ex2: add input
2024: d19: ex1: add solution
2024-12-19 00:11:14 -05:00 · 2024-12-19 00:11:08 -05:00 · 2024-12-19 00:11:03 -05:00 · 2024-12-19 00:10:57 -05:00 · 2024-12-18 00:25:04 -05:00 · 2024-12-18 00:24:53 -05:00
71 changed files with 20706 additions and 0 deletions
--- a/2024/d02/ex1/ex1.py
+++ b/2024/d02/ex1/ex1.py
@ -0,0 +1,28 @@
+#!/usr/bin/env python
+
+import itertools
+import sys
+
+Report = list[int]
+
+
+def solve(input: list[str]) -> int:
+    def parse(input: list[str]) -> list[Report]:
+        return [[int(n) for n in line.split()] for line in input]
+
+    def is_safe(report: Report) -> bool:
+        def is_increasing_safe(report: Report) -> bool:
+            return all(1 <= (b - a) <= 3 for a, b in itertools.pairwise(report))
+
+        return is_increasing_safe(report) or is_increasing_safe(report[::-1])
+
+    return sum(is_safe(report) for report in parse(input))
+
+
+def main() -> None:
+    input = sys.stdin.read().splitlines()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d02/ex2/ex2.py
+++ b/2024/d02/ex2/ex2.py
@ -0,0 +1,36 @@
+#!/usr/bin/env python
+
+import itertools
+import sys
+
+Report = list[int]
+
+
+def solve(input: list[str]) -> int:
+    def parse(input: list[str]) -> list[Report]:
+        return [[int(n) for n in line.split()] for line in input]
+
+    def is_safe(report: Report) -> bool:
+        def is_increasing_safe(report: Report) -> bool:
+            return all(1 <= (b - a) <= 3 for a, b in itertools.pairwise(report))
+
+        return is_increasing_safe(report) or is_increasing_safe(report[::-1])
+
+    # Dampening by brute force
+    def is_dampened_safe(report: Report) -> bool:
+        for i in range(len(report)):
+            dampened_report = report[:i] + report[i + 1 :]
+            if is_safe(dampened_report):
+                return True
+        return False
+
+    return sum(is_dampened_safe(report) for report in parse(input))
+
+
+def main() -> None:
+    input = sys.stdin.read().splitlines()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d02/ex2/input
+++ b/2024/d02/ex2/input
--- a/2024/d03/ex1/ex1.py
+++ b/2024/d03/ex1/ex1.py
@ -0,0 +1,36 @@
+#!/usr/bin/env python
+
+import dataclasses
+import re
+import sys
+
+
+@dataclasses.dataclass
+class MulInstruction:
+    lhs: int
+    rhs: int
+
+    def calc(self) -> int:
+        return self.lhs * self.rhs
+
+
+def solve(input: str) -> int:
+    def parse(input: str) -> list[MulInstruction]:
+        res: list[MulInstruction] = []
+
+        MUL_REGEX = re.compile(r"mul\((\d+),(\d+)\)")
+        for match in MUL_REGEX.finditer(input):
+            res.append(MulInstruction(int(match.group(1)), int(match.group(2))))
+
+        return res
+
+    return sum(inst.calc() for inst in parse(input))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d03/ex1/input
+++ b/2024/d03/ex1/input
@ -0,0 +1,6 @@
+}}+{where()mul(873,602) mul(954,447)^where()~mul(548,799)-<what()mul(588,631)^who()'@( [mul(143,388)how(445,327))$ select()who()mul(746,719)mul(963,262)}'*+why()<?&/select()don't()[%]% ^^mul(933,492)don't() ^-who()(%how()]mul(583,700))!,where()mul(999,507)](mul(821,504)^%/;:-mul(471,220)who()&'who(161,37)<'mul(843,213),<mul(298,802)-()@how()where()@+[:mul(910,85)'when()($select()%-*mul(532,213)*from()select()$,what()mul(956,380)mul(326,87)mul(243,775)!/:from()&^^mul(118,409)!)what()select()mul(610,89)mul(432,774)from()# from()<mul(400,864):+&mul(957,923)'don't()+select()why()mul(496,383),&why()(-;)+!#mul(79,135)~{mul(500,619),#what(361,47)@&;@+mul(580,98)<>#why():$from()(!mul(660,615):where()mul(596,918)how()[what()how()who()]@mul(594,699)$>$&why()mul(951,813)mul(948,41)]mul(699,225)>mul(840,275):@~^@%^select()mul(695,594)what()->-mul(409,636)@ {++mul(999,290)when(339,689),[+[+?mul(558,848)how(),what()&}]{mul(344,337)$)$]+,$,,why()do()::select()^:mul(796,16)mul(526,718) mul(66,417)#@>~do()why()from()/select()when():&mul(8,111);!where()do()}@mul(433,239)*}how() {^!do()#^mul(167,905)-&%(mul(979,711)when()]who()'?mul(523,172)[^what(844,455)'what()[/~@mul(928,776)where()]&/mul(587,380)who()/when()how()from(),}#}mul(97,952)select(837,505)~@>~%mul(486,198)^!mul(968,779)do()[mul(206,321);,where()where())how()}/mul(6,867)-&<!*select()mul(615,984)~?who()#<{how()?@mul(617,643){ @,'why()+>what()(mul(683,583)^(mul(244,555)^where()(how()what()?-[,who()mul(827,305);&,!$*?mul(793,452)^ )+(%-where()<mul(318,238)<$-what()mul(802,394)?how()<mul(488,879)do()$}<:&mul(429,358)~how()mul(36,174)mul(87,398)+%what()]mul(822,311)mul(379,261)~when()mul(618,193)@)!))-what()how(645,829)[mul(964,102);who()don't(),[what(),,?select()why()@mul(121,293)select()@who()!mul(770,96)+;%from(467,168)mul(616,890)@%:)[mul(943,145) [from()&where(283,130){*where()mul(649,49)select())mul(877,73)from()do()where()?where()>who()from()@who(){*mul(592,919)/:what():who()mul(213,139)what()$!?*how(934,24)$-who()(mul(661,7)?from(),}/who()mul(876,585)how()why():when()[@@mul(433,918)why()why(),*{who()when()who()mul(144,14/#(<mul(656,306)&what()&{*@%select(709,225)/mul(843,135)who()$[don't()<mul(576,966)^,?>don't()@(@{~why()[who()mul(394,492)where()/mul(508,797)-mul(150,832)+$@why()(why()~mul(527,236)<don't()!#{how()*!,!mul(177,945)'mul(5,181)#!#'&?what()&mul(10,492):%/'*mul(822,748){!*]who()when()<!<mul(21,920)+do()-who()from(505,694)where()from()$who()where()where()/mul(827,561)how()when()mul(770,221)%when()who()mul(872,151)mul(453,84)['&+:mul(258,293)@#,where()mul(264,689)mul(90[mul(94,665)-who()don't()what()>!:@!^&!mul(324>?!from()where())mul(731,184)#(}who()'mul(666,377)how()(;mul(346,141)^select()/@[$how()@]?mul(702,502,^where()<}[mul(872,308)+^!<@from() {:mul(537,974)%when()when()%mul(563,805)select()>how()>^';mul(643,555))where(290,606)who()?mul(656,803),?$/*?when()}@ mul(228,902)~/from(){where()what()>@~mul(849,93)~+select()?-^}<don't()mul(844,117)(when()~,}# /:+mul(24,282)@where()~from()($what()what()*<mul(886,107)[#;mul(725,121) %[>mul(115,425)${what()mul(219,305)how()])from()<mul(401,458)-from()+mul(92,705)
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+#)'{mul(531,103){ {where()what()from()mul(127,712))what()<mul(595,154)~>!%from()'/how()*when(940,337)mul(259,916)+}!-}[mul(703,780++;select()?why()[{mul(221,199)+mul(303,268)$don't()'[what();^mul(542,561);who()&,mul(68,800)[<'{}why()?^from()mul(26,194)?]who():;mul(641,921)#&where()mul(539,571)select()]~%%]when())mul(833,642);mul(209,564)}<^)when()mul(648,430/(#)/?(';where()what()mul(818,526) ]!what()do() <;:mulfrom() @-<select()what(557,962)$%mul(83,808)from()% {)mul(894,523){~?@'&,how()>mul(764,627)#/mul(887,607), do()$(},#^}}from()how()mul(184,287)where()$^mul(859,310){who()how()mul(692,592){>?&mul(223,912)what()^@ {{^@/mul(736,965)$)]];-#@&mul(600,145)~/}*-}how()mul(893,646):where()}mul(205,416)what()from()mul(35,844)mul(94,245))/<#</$when()who(236,448)mul(943,490)^?*!mul(187,639)select()mul(105,840)#;-;((&,select()mul(495,135)don't()when()(&mul(129,293)}}{~from()]select()*+mul(724,202)mul(540,481)+when()$><from()?$#mul(604,366)where()why()^select()mul(82,14){]what()##/^mul(661$mul(576,422)!}*mul(968,267)mul(501,251)<[,mul(999-mul(61,600)how()~ how()#&mul(488,199)+})who()# @what()mul(695,154)!{[don't()mul(454,729)what():(<%mul(656,115)from()!]when()when():?,mul(536,421)}select()when()<mul(550,82)(:mul(482,346)}%when()>+mul(189,780)from()how()#< ^don't()why()&who()where(){ >:mul(638,986)*+< ;mul(131,393),how(419,400)*@how()mul(856,729)who()$$[$[select()~<mul(553,105)why(720,700)']mul(780,579)}what()select()who()~//}^mul(811,393))/<#,mul(530,118)@'%<~mul(640,727)'-]:-:]+mul(124,151)~@{why()@/why()mul(523,641)'%select())/mul(70,234)-$#mul(589,488)^:how()(when()mul(66,473)$/!-{from()%]#]mul(417,212)~>{(when()$mul(613,175)}mul(503,337)~)what() mul:!-*}?~who()<mul(709,759)}what()^where()when()!select(820,39)]::mul(884,175):#mul(852,584)>-mul(649,886)+how(738,973)when()[(mul(593,702)where()%%^(]who()mul(456,697)%~^'when()how()mul(789,446)mul(737,439)mul(830,910):>why()when()how()'?]why()>do()#'&why()'from()mul(972,441):mul(157,521)mul(43,224):$who()>select()how()mul(52,740)'mul(136,716)select()mul(613,433)]>$^when()why()where()how();mul(978,314))$mul(695,29)}mul(778,660){how()<+$?mul(402,606)select()+~$do()mul(262,94)how()why()))#'^$@mul}mul(201,86)*select()mul(876,626)why()mul(174,750)where()(from()(mul(433,335)]@mul(29,940) :~what()$}where()select()mul(416,920)^&%<~^mul(276,648)mul(636,17);why()}-}mul(810,73)<@} how():from(900,831)what()mul(241,497)select()when()'&{mul(603,108):[,mul(941,454) $@mul>@<}'[, $mul(510,523)where(), ~];mul(584,102)<when()mul(907,301)]#select()select();{how()select()what()?mul(980,625)select())where(){:^mul(544,917)((how()['who()mul(628,364)who(272,887)@!^@{+~{don't()when() )(from()what()when()-mul(95,412)(mul(127,442)/mul(658,920)from()from())!$<&*mul(45,446)what()where()&![-% (%mul(304};do()why(81,149)#^mul(181,603)where()^;{(! ^;mul(381,353)~@$mul(129,558)where()?from(): mul(573,183<how()*how()(#(mul(626,301))?]/)how()mul(20,851)[$when()*how()mul(42,787)[! )@;:(;mul(98,614)why()mul(692,723)!'>' do()why()<&select(812,485)!mul(538,458)who()why()^'select(){{why()mul(773,196)when()why(713,26){,!do()?why()!when(),?mul(234,541)mul(558]!(%;}'-mul(721,55)
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+ +*<@;mul(470,836why()who()select()#when()select()where()from(812,299)</mul(987,617)when()&%;mul(85,662) select()select()*?>mul(469,324) select()why(){mul(891,321);'&$%@{mul(792,73)$$[who()>[[from():mul>why()?how()mul(522,233)([%select()mul(195,940)&mul(368,872)~}{who();!!>^^mul(920,394)^,select():?!%[mul(477,578): what()~!/select())who()/mul(976,739)>;who()who(43,925)&when()>>;+mul(857,247) mul(442,620){;mul(393,289)-!*mul(848,511)?how()}@mul(290,212))(~+#~:mul(150]*/>who()[>?:<mul(289,261)><]*[;+what()where()mul(307,698);;from()~%;where(84,170)[${mul(158,165):[what()^select()mul(977,383)'*@<! )mul(188,493)mul(566,212)&,who()]do()mul(644,488)how())+]~who()where()mul(113,502)mul(306,625),] ;/#&$;who()mul(418,801)#>>/;:mul(920,657)*how()when()mul(816,293)select()~$+^+mul(420,667);(^where());<from()[,do()'where()/!where()&?when()>mul(402,31)]mul(272,313)^>mul(161,164)@$<mulfrom()$when()<mul(718,501)+-who()mul(960,325);who()&{?mul(615,493)select(){]when())#{from(465,35)mul(905,145){[,&>$mul(260,136)&@}* > -mul(380,442)^#*!don't())?(;@mul(209/%(>,how()^mul(423,410)from()-mul(381,141)+~-)mul(674,158)^:what()>(^)who()mul*^,mul(74,315)!-),mul(341,503)where()/;*)why()),what()&mul(624,435)mul(880,482)}where():<select():^>]why()mul(367,134)when()(when()mul(166,251)@+,who(),mul(610,271)+>)(mul(455,461)>&@-()from()+]mul(232,944)&,@when()@]mul(523,215)mul(876,836) mul(335,254)<#-{from()^mul(153,522)what(52,828)who()where()from()from()@&>$mul,!&<don't()why(768,688)what(),);'mul(851,963)]&;(mul(45,859)[;select() ~%]when()!where()mul(807,272):#from()mul(943,224)?$mul(415,924)'from()?mul(204,131)}(>what()^>*{'mul(670,505)$mul&&/<don't()why()@#(*~/:>(mul(672,267)mul(540,120)<$[->!}mul(234,539)!%]who(){mul(30,143)*mul(545,761)where()'!how(935,4)who()%'{~mul(673,752why()what()^:mul(111,407)from()}mul(860,90)#who()/^!how()-!{!mul(217,327)what()!'where()mul(729,143)where()!how()#mul(362,874)$how()how()->who()~^mul(315,718)!'-@~mul(206,449):/[??#mul(185,796)]~mul(597,268);) >select()from()?)<*mul(516,734)when()what()select()#$select()-?,$mul(366,627)%*{mul(62,39)<what()mul(511,35)mul(879,156)-@]from()#select()mul(247,306;!mul(183,347)<mul(638,126)+>^/$from()+mul(250+~select()!from(){mul(981,151)#}mul(92,876))how()who(363,963)mul(827,341)::how()~&mul(407,705)#+>mul(576,849)mul(482,236)(^* who(),what()mul(544%who()('>*!$@,}mul(113,286)when()'from(685,677)do()%from(614,566)-select()$,-mul(234,452)}>[&who(){#from()&don't()why()select(645,338):why(840,833)+#mul(874,529)}>what()select()why()mul(168,89)}{*when()}do()when()*?$^;?)]mul(811,383)!mul(770,725):!*#[from()from()from(487,367);:mul(564,858)(mul(248,563)*:;'mul??mul(254,676)+where()from()?'[){ how()mul(250,339))'!')where()<?mul(410,838)(where()@mul(102,412)where()mul(173,786)-![mul(92,40)mul(888,277)'from()do()mul(390,731)@what()who()@%@who()&&?mul(930,981)>}from()why()-*!mul(740,619)~$when(370,81)where()%-#;^mul(291;^<-mul(266,422)@%select()/why() [mul(794,513)where()>{+mul(944,970)!why();mul(968,484)<from(),:>/what()who()mul(285,45)when()who()^when(),mul(728,164),#/[)mul(568,114)%@:select() /*!mul(763,536)?@mul(506,503))do()@)^/mul(763,386)/why()how()from(417,323)>what() where()mul(260,628)?:'+$why()+@&mul(697,677)+]when():mul(246,278)
+ $mul(48,81)mul(266,777)who())@*~!?)# mul(843,750}<what()+>mul(940,128)mul(477,389)who()}:when())<[when()mul(838,845)<when():;*mul(248,817)don't()+what();&/)?>~mul(464,153)why(166,536)</mul(893,554)when()what(){how()&how()mul(505,410)>{/&,~mul(282,701) -!?from();mul(101,631)from()<when()*&mul(187,146)[@+<?{[#{<mul(424,344);!?why()%}what()*>/mul(236,985)why(458,58)do()&*&>how()mul(310,399) :{}^]don't()->when()from()+ mul(389,902)why(301,687) select()}> who()mul(265,840)/mul(652,469)~where()what(){<>~mul(792,402);> $+@select(747,467)[mul(720,836)%what(984,399)[select()-+{}}mul(757,143)-)%from(),)+where()mul(810,426)<!*mul(596,769)$ from():]how()mul(67,919)why(485,244)]why(506,511)how()&,[{% mul(794,823)!/]-*<'where()mul(872~%how()$<}]}why()~how()mul(413,924)?+[>#who()^@mul,]-'(^^>mul(30,409),)from() mul(916,685what()how(){#/mul(494,862)<who()>-&mul(814,480)!&what()*mul(315,311)!when() @}*%#mul(571,122)~*mul(717,593))/mul(633,314)<^{[%{when()-<?mul(26,322)mul(792;(?:^mul(592,551)&from();%]who()<,$mul(276,734):mul(478,513)]when(637,697){mul& @+'[+mul(848,726)how(),from()-!&,<#do() !-mul(412,173)?''when()select()select();'when()mul(306,288)(!when()how(100,872)>,{mul(571,721):?,@~]select(){mul(275,614),select()/<mul(611,515)how(635,963)select()mul(741,23),select()why()^who(),%#}mul(144,95,why()why()~@^when(555,987)(mul(380,549)%:%&how()&mul(19,964)where(),*why()#%mul(194,612)}+^when()[mul(491,112))//what(){#-:mul(239,5){,?>{[@mul(965,299)what()?$where()(#,(?mul(642,519),+~*]mul(830,103)/]:mul(61,609)from()where()from()([mul(808,331)$mul(885,259)))}mul(902,561)$*:mul(320,613)[where()}mul(374,288)~mul(720,106)*~$mul(967,879),who()[what()}when()/#$-mul(81,187)mul(368,22);];<}- @{mul(882,60)#select()when()mul(144,567);what(),,#don't(){+from()'! mul(608,319)(mul(225,187)%%(<,@#+%select()mul(130,278)!select()}<when()where()mul(348,92):from()[mul(483,262)don't()*+&&}$mul(500,537)%(what()what()select()+^;do()where()]][/%select()*mul(118,729)+;[!why()$@mul(155,535)}from() ^*#select()how()'mul(685,187))*don't()what()(&/{mul(174,160)&+~:mul(100,237)<mul(234,939)mul(328,456)mul(427,653))where()why(162,868){,mul(58,176)'}why()from()&'why()?mul(449,899)-when()how()what()do()#,{,mul(529,302)?<]'*how()who()*~mul(382,944)mul(348,909),]/mul(595,427)-:mul(896,889);-)<mul(212,114)[}what()#how()mul(796,319)from()who()mul(161,245),mul(211,760)]*<+]where()mul(239,248)%mul(634,18)mul(501,317)why()#[who(542,47)what()*who()~,$do()}} where()*~[when(696,90)~when()mul(736,662)*%-$select()-$who()/mul(297,910) when()(when()>'@mul(353,117)]%'-^/?^mul(799,639)who()}-[>mul(495,249)where()*,<mul(79,846)how();mul(317,217)/mul(699,367)when()}mul(390,121),![,+]//,don't()@{what()(>)~mul(768,867)why()mul(305,695)don't()?]where() ?#@(who()mul(748,367)why()+[mul(643,18)})mul(343,964){'mul(287,548)?%do(),from();/?';select()mul(97,411)!!{?mul(105,759)how())how()@mul(663,882)~[mul(709,411)@;]what()when()mul(267,470)&mul(857,988)}/]^-select()]^:where()do()why()where()]-*mul(566,77)-<why()how();:~>#mul(217,308)what()~~(select()&mul(462,131)<+]%how()select()mul(242,763)'select()why()mul(316,185)[when()/ mul(584,440)from()
--- a/2024/d03/ex2/ex2.py
+++ b/2024/d03/ex2/ex2.py
@ -0,0 +1,42 @@
+#!/usr/bin/env python
+
+import dataclasses
+import re
+import sys
+
+
+@dataclasses.dataclass
+class MulInstruction:
+    lhs: int
+    rhs: int
+
+    def calc(self) -> int:
+        return self.lhs * self.rhs
+
+
+def solve(input: str) -> int:
+    def parse(input: str) -> list[MulInstruction]:
+        res: list[MulInstruction] = []
+
+        MUL_REGEX = re.compile(r"do\(\)|don't\(\)|mul\((\d+),(\d+)\)")
+        do = True
+        for match in MUL_REGEX.finditer(input):
+            if match.group(0) in ("do()", "don't()"):
+                do = match.group(0) == "do()"
+                continue
+            if not do:
+                continue
+            res.append(MulInstruction(int(match.group(1)), int(match.group(2))))
+
+        return res
+
+    return sum(inst.calc() for inst in parse(input))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d03/ex2/input
+++ b/2024/d03/ex2/input
@ -0,0 +1,6 @@
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+ +*<@;mul(470,836why()who()select()#when()select()where()from(812,299)</mul(987,617)when()&%;mul(85,662) select()select()*?>mul(469,324) select()why(){mul(891,321);'&$%@{mul(792,73)$$[who()>[[from():mul>why()?how()mul(522,233)([%select()mul(195,940)&mul(368,872)~}{who();!!>^^mul(920,394)^,select():?!%[mul(477,578): what()~!/select())who()/mul(976,739)>;who()who(43,925)&when()>>;+mul(857,247) mul(442,620){;mul(393,289)-!*mul(848,511)?how()}@mul(290,212))(~+#~:mul(150]*/>who()[>?:<mul(289,261)><]*[;+what()where()mul(307,698);;from()~%;where(84,170)[${mul(158,165):[what()^select()mul(977,383)'*@<! )mul(188,493)mul(566,212)&,who()]do()mul(644,488)how())+]~who()where()mul(113,502)mul(306,625),] ;/#&$;who()mul(418,801)#>>/;:mul(920,657)*how()when()mul(816,293)select()~$+^+mul(420,667);(^where());<from()[,do()'where()/!where()&?when()>mul(402,31)]mul(272,313)^>mul(161,164)@$<mulfrom()$when()<mul(718,501)+-who()mul(960,325);who()&{?mul(615,493)select(){]when())#{from(465,35)mul(905,145){[,&>$mul(260,136)&@}* > -mul(380,442)^#*!don't())?(;@mul(209/%(>,how()^mul(423,410)from()-mul(381,141)+~-)mul(674,158)^:what()>(^)who()mul*^,mul(74,315)!-),mul(341,503)where()/;*)why()),what()&mul(624,435)mul(880,482)}where():<select():^>]why()mul(367,134)when()(when()mul(166,251)@+,who(),mul(610,271)+>)(mul(455,461)>&@-()from()+]mul(232,944)&,@when()@]mul(523,215)mul(876,836) mul(335,254)<#-{from()^mul(153,522)what(52,828)who()where()from()from()@&>$mul,!&<don't()why(768,688)what(),);'mul(851,963)]&;(mul(45,859)[;select() ~%]when()!where()mul(807,272):#from()mul(943,224)?$mul(415,924)'from()?mul(204,131)}(>what()^>*{'mul(670,505)$mul&&/<don't()why()@#(*~/:>(mul(672,267)mul(540,120)<$[->!}mul(234,539)!%]who(){mul(30,143)*mul(545,761)where()'!how(935,4)who()%'{~mul(673,752why()what()^:mul(111,407)from()}mul(860,90)#who()/^!how()-!{!mul(217,327)what()!'where()mul(729,143)where()!how()#mul(362,874)$how()how()->who()~^mul(315,718)!'-@~mul(206,449):/[??#mul(185,796)]~mul(597,268);) >select()from()?)<*mul(516,734)when()what()select()#$select()-?,$mul(366,627)%*{mul(62,39)<what()mul(511,35)mul(879,156)-@]from()#select()mul(247,306;!mul(183,347)<mul(638,126)+>^/$from()+mul(250+~select()!from(){mul(981,151)#}mul(92,876))how()who(363,963)mul(827,341)::how()~&mul(407,705)#+>mul(576,849)mul(482,236)(^* who(),what()mul(544%who()('>*!$@,}mul(113,286)when()'from(685,677)do()%from(614,566)-select()$,-mul(234,452)}>[&who(){#from()&don't()why()select(645,338):why(840,833)+#mul(874,529)}>what()select()why()mul(168,89)}{*when()}do()when()*?$^;?)]mul(811,383)!mul(770,725):!*#[from()from()from(487,367);:mul(564,858)(mul(248,563)*:;'mul??mul(254,676)+where()from()?'[){ how()mul(250,339))'!')where()<?mul(410,838)(where()@mul(102,412)where()mul(173,786)-![mul(92,40)mul(888,277)'from()do()mul(390,731)@what()who()@%@who()&&?mul(930,981)>}from()why()-*!mul(740,619)~$when(370,81)where()%-#;^mul(291;^<-mul(266,422)@%select()/why() [mul(794,513)where()>{+mul(944,970)!why();mul(968,484)<from(),:>/what()who()mul(285,45)when()who()^when(),mul(728,164),#/[)mul(568,114)%@:select() /*!mul(763,536)?@mul(506,503))do()@)^/mul(763,386)/why()how()from(417,323)>what() where()mul(260,628)?:'+$why()+@&mul(697,677)+]when():mul(246,278)
+ $mul(48,81)mul(266,777)who())@*~!?)# mul(843,750}<what()+>mul(940,128)mul(477,389)who()}:when())<[when()mul(838,845)<when():;*mul(248,817)don't()+what();&/)?>~mul(464,153)why(166,536)</mul(893,554)when()what(){how()&how()mul(505,410)>{/&,~mul(282,701) -!?from();mul(101,631)from()<when()*&mul(187,146)[@+<?{[#{<mul(424,344);!?why()%}what()*>/mul(236,985)why(458,58)do()&*&>how()mul(310,399) :{}^]don't()->when()from()+ mul(389,902)why(301,687) select()}> who()mul(265,840)/mul(652,469)~where()what(){<>~mul(792,402);> $+@select(747,467)[mul(720,836)%what(984,399)[select()-+{}}mul(757,143)-)%from(),)+where()mul(810,426)<!*mul(596,769)$ from():]how()mul(67,919)why(485,244)]why(506,511)how()&,[{% mul(794,823)!/]-*<'where()mul(872~%how()$<}]}why()~how()mul(413,924)?+[>#who()^@mul,]-'(^^>mul(30,409),)from() mul(916,685what()how(){#/mul(494,862)<who()>-&mul(814,480)!&what()*mul(315,311)!when() @}*%#mul(571,122)~*mul(717,593))/mul(633,314)<^{[%{when()-<?mul(26,322)mul(792;(?:^mul(592,551)&from();%]who()<,$mul(276,734):mul(478,513)]when(637,697){mul& @+'[+mul(848,726)how(),from()-!&,<#do() !-mul(412,173)?''when()select()select();'when()mul(306,288)(!when()how(100,872)>,{mul(571,721):?,@~]select(){mul(275,614),select()/<mul(611,515)how(635,963)select()mul(741,23),select()why()^who(),%#}mul(144,95,why()why()~@^when(555,987)(mul(380,549)%:%&how()&mul(19,964)where(),*why()#%mul(194,612)}+^when()[mul(491,112))//what(){#-:mul(239,5){,?>{[@mul(965,299)what()?$where()(#,(?mul(642,519),+~*]mul(830,103)/]:mul(61,609)from()where()from()([mul(808,331)$mul(885,259)))}mul(902,561)$*:mul(320,613)[where()}mul(374,288)~mul(720,106)*~$mul(967,879),who()[what()}when()/#$-mul(81,187)mul(368,22);];<}- @{mul(882,60)#select()when()mul(144,567);what(),,#don't(){+from()'! mul(608,319)(mul(225,187)%%(<,@#+%select()mul(130,278)!select()}<when()where()mul(348,92):from()[mul(483,262)don't()*+&&}$mul(500,537)%(what()what()select()+^;do()where()]][/%select()*mul(118,729)+;[!why()$@mul(155,535)}from() ^*#select()how()'mul(685,187))*don't()what()(&/{mul(174,160)&+~:mul(100,237)<mul(234,939)mul(328,456)mul(427,653))where()why(162,868){,mul(58,176)'}why()from()&'why()?mul(449,899)-when()how()what()do()#,{,mul(529,302)?<]'*how()who()*~mul(382,944)mul(348,909),]/mul(595,427)-:mul(896,889);-)<mul(212,114)[}what()#how()mul(796,319)from()who()mul(161,245),mul(211,760)]*<+]where()mul(239,248)%mul(634,18)mul(501,317)why()#[who(542,47)what()*who()~,$do()}} where()*~[when(696,90)~when()mul(736,662)*%-$select()-$who()/mul(297,910) when()(when()>'@mul(353,117)]%'-^/?^mul(799,639)who()}-[>mul(495,249)where()*,<mul(79,846)how();mul(317,217)/mul(699,367)when()}mul(390,121),![,+]//,don't()@{what()(>)~mul(768,867)why()mul(305,695)don't()?]where() ?#@(who()mul(748,367)why()+[mul(643,18)})mul(343,964){'mul(287,548)?%do(),from();/?';select()mul(97,411)!!{?mul(105,759)how())how()@mul(663,882)~[mul(709,411)@;]what()when()mul(267,470)&mul(857,988)}/]^-select()]^:where()do()why()where()]-*mul(566,77)-<why()how();:~>#mul(217,308)what()~~(select()&mul(462,131)<+]%how()select()mul(242,763)'select()why()mul(316,185)[when()/ mul(584,440)from()
--- a/2024/d04/ex1/ex1.py
+++ b/2024/d04/ex1/ex1.py
@ -0,0 +1,43 @@
+#!/usr/bin/env python
+
+import itertools
+import sys
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> dict[Point, str]:
+        return {
+            Point(x, y): c for x, line in enumerate(input) for y, c in enumerate(line)
+        }
+
+    def count_xmas(grid: dict[Point, str], dims: Point) -> int:
+        max_x, max_y = dims
+        count = 0
+        for x, y in itertools.product(range(max_x), range(max_y)):
+            for dx, dy in itertools.product(range(-1, 1 + 1), repeat=2):
+                if dx == 0 and dy == 0:
+                    continue
+                count += all(
+                    grid.get(Point(x + dx * i, y + dy * i)) == c
+                    for i, c in enumerate("XMAS")
+                )
+        return count
+
+    lines = input.splitlines()
+    grid = parse(lines)
+    return count_xmas(grid, Point(len(lines), len(lines[0])))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d04/ex1/input
+++ b/2024/d04/ex1/input
@ -0,0 +1,140 @@
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--- a/2024/d04/ex2/ex2.py
+++ b/2024/d04/ex2/ex2.py
@ -0,0 +1,49 @@
+#!/usr/bin/env python
+
+import itertools
+import sys
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> dict[Point, str]:
+        return {
+            Point(x, y): c for x, line in enumerate(input) for y, c in enumerate(line)
+        }
+
+    def count_xmas(grid: dict[Point, str], dims: Point) -> int:
+        max_x, max_y = dims
+        count = 0
+        for x, y in itertools.product(range(max_x), range(max_y)):
+            if grid.get(Point(x, y)) != "A":
+                continue
+            if {grid.get(Point(x + dx, y + dy)) for dx, dy in ((-1, -1), (1, 1))} != {
+                "M",
+                "S",
+            }:
+                continue
+            if {grid.get(Point(x + dx, y + dy)) for dx, dy in ((1, -1), (-1, 1))} != {
+                "M",
+                "S",
+            }:
+                continue
+            count += 1
+        return count
+
+    lines = input.splitlines()
+    grid = parse(lines)
+    return count_xmas(grid, Point(len(lines), len(lines[0])))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d04/ex2/input
+++ b/2024/d04/ex2/input
@ -0,0 +1,140 @@
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--- a/2024/d05/ex1/ex1.py
+++ b/2024/d05/ex1/ex1.py
@ -0,0 +1,48 @@
+#!/usr/bin/env python
+
+import collections
+import sys
+
+Graph = dict[int, set[int]]
+
+
+def solve(input: str) -> int:
+    def parse_ordering(input: str) -> Graph:
+        graph: Graph = collections.defaultdict(set)
+        for l in input.splitlines():
+            lhs, rhs = map(int, l.split("|"))
+            graph[lhs].add(rhs)
+        return graph
+
+    def parse_updates(input: str) -> list[list[int]]:
+        return [[int(n) for n in line.split(",")] for line in input.splitlines()]
+
+    def parse(input: str) -> tuple[Graph, list[list[int]]]:
+        ordering, updates = input.split("\n\n")
+        return parse_ordering(ordering), parse_updates(updates)
+
+    def validate_update(ordering: Graph, update: list[int]) -> bool:
+        for i in range(len(update)):
+            for j in range(i + 1, len(update)):
+                lhs, rhs = update[i], update[j]
+                if lhs in ordering[rhs]:
+                    return False
+        return True
+
+    def get_middle(update: list[int]) -> int:
+        assert len(update) % 2 == 1  # Sanity check
+        return update[len(update) // 2]
+
+    ordering, updates = parse(input)
+    return sum(
+        get_middle(update) for update in updates if validate_update(ordering, update)
+    )
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d05/ex1/input
+++ b/2024/d05/ex1/input
--- a/2024/d05/ex2/ex2.py
+++ b/2024/d05/ex2/ex2.py
@ -0,0 +1,60 @@
+#!/usr/bin/env python
+
+import collections
+import copy
+import functools
+import sys
+
+Graph = dict[int, set[int]]
+
+
+def solve(input: str) -> int:
+    def parse_ordering(input: str) -> Graph:
+        graph: Graph = collections.defaultdict(set)
+        for l in input.splitlines():
+            lhs, rhs = map(int, l.split("|"))
+            graph[lhs].add(rhs)
+        return graph
+
+    def parse_updates(input: str) -> list[list[int]]:
+        return [[int(n) for n in line.split(",")] for line in input.splitlines()]
+
+    def parse(input: str) -> tuple[Graph, list[list[int]]]:
+        ordering, updates = input.split("\n\n")
+        return parse_ordering(ordering), parse_updates(updates)
+
+    def validate_update(ordering: Graph, update: list[int]) -> tuple[int, int] | None:
+        for i in range(len(update)):
+            for j in range(i + 1, len(update)):
+                lhs, rhs = update[i], update[j]
+                if lhs in ordering[rhs]:
+                    return i, j
+        return None
+
+    def get_middle(update: list[int]) -> int:
+        assert len(update) % 2 == 1  # Sanity check
+        return update[len(update) // 2]
+
+    def fix_update(ordering: Graph, update: list[int]) -> list[int]:
+        # The graph has cycles, so using a topological sort is out
+        # Instead just swap the wrong pages until we fixed the update
+        update = copy.copy(update)
+        while (indices := validate_update(ordering, update)) is not None:
+            lhs, rhs = indices
+            update[lhs], update[rhs] = update[rhs], update[lhs]
+        return update
+
+    ordering, updates = parse(input)
+    invalid_updates = filter(functools.partial(validate_update, ordering), updates)
+    fixed_updates = map(functools.partial(fix_update, ordering), invalid_updates)
+
+    return sum(get_middle(update) for update in fixed_updates)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d05/ex2/input
+++ b/2024/d05/ex2/input
--- a/2024/d06/ex1/ex1.py
+++ b/2024/d06/ex1/ex1.py
@ -0,0 +1,99 @@
+#!/usr/bin/env python
+
+import enum
+import sys
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+class Direction(enum.StrEnum):
+    UP = "^"
+    RIGHT = ">"
+    DOWN = "v"
+    LEFT = "<"
+
+    def step(self, p: Point) -> Point:
+        dx: int
+        dy: int
+
+        match self:
+            case Direction.UP:
+                dx, dy = -1, 0
+            case Direction.RIGHT:
+                dx, dy = 0, 1
+            case Direction.DOWN:
+                dx, dy = 1, 0
+            case Direction.LEFT:
+                dx, dy = 0, -1
+
+        return Point(p.x + dx, p.y + dy)
+
+    def turn_right(self) -> "Direction":
+        match self:
+            case Direction.UP:
+                return Direction.RIGHT
+            case Direction.RIGHT:
+                return Direction.DOWN
+            case Direction.DOWN:
+                return Direction.LEFT
+            case Direction.LEFT:
+                return Direction.UP
+
+
+class Guard(NamedTuple):
+    pos: Point
+    dir: Direction
+
+    def patrol_step(self, blockers: set[Point]) -> "Guard":
+        next_step = self.dir.step(self.pos)
+        if next_step not in blockers:
+            return Guard(next_step, self.dir)
+        return Guard(self.pos, self.dir.turn_right())
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> tuple[Guard, set[Point]]:
+        guard: Guard | None = None
+        blockers: set[Point] = set()
+
+        for x, line in enumerate(input):
+            for y, c in enumerate(line):
+                if c == ".":
+                    continue
+                if c == "#":
+                    blockers.add(Point(x, y))
+                    continue
+                guard = Guard(Point(x, y), Direction(c))
+
+        assert guard is not None  # Sanity check
+        return guard, blockers
+
+    def patrol(guard: Guard, blockers: set[Point], dims: Point) -> int:
+        max_x, max_y = dims
+        positions = {guard.pos}
+        while True:
+            if not (0 <= guard.pos.x < max_x):
+                break
+            if not (0 <= guard.pos.y < max_y):
+                break
+            positions.add(guard.pos)
+            guard = guard.patrol_step(blockers)
+        return len(positions)
+
+    lines = input.splitlines()
+    guard, blockers = parse(lines)
+    max_x, max_y = len(lines), len(lines[0])
+    return patrol(guard, blockers, Point(max_x, max_y))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d06/ex1/input
+++ b/2024/d06/ex1/input
@ -0,0 +1,130 @@
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+..............#..#.............#...........#......................#....#..#......#...................#............................
+........#.......#.................#........#..........#.....................#.........................................#...........
+..........................................................#...................................#.....#.........#......#...#........
+..........#.....#.....................#............#............#.#......................#....#.##.............#...........#......
+...#.#..#.......#......#........#...........................#....................#.....#.........#...........#.................#..
+........#.......................................#............#.............#..................#......#......#...............#.#...
+....................#.....#........#.........................#.................................................#................#.
+.......#..#...........................................#......#..................#..#......................#..#....................
+#.#........#....#...#.............................................#............................#.....................#............
+#...................#...........#...................#..#................................................................#.#.......
+............#...#.#...........#..#.....................................................................#........................#.
+...#..............................................#..............#......#...#..............................................#......
+................#...#..#..................................................................................................##...#..
+.............................#...#..#........#.........#...#...................#............................................#.....
+............#......................#.......................................................#.#....................................
+...#......................#......#.#...........................................#.....#....#......................#...#............
+.....#..#..........#.............................#..........................................#............#..................#.....
+.................#...#.......................#..................................................#....................#............
+............#..................................................#.....#..............#.......#.............................#.#....#
+........#.............#..#.......................................................................................#.........#......
+......#...................#..........................................................#................#................#.........#
+..................#...........................#.....#....#.......................................#..#......................#......
+....................#....................................#....................#........#............#........#....#...............
+.........#..............#....#.............................#..#..........#........#.....................#.#.........#.............
--- a/2024/d06/ex2/ex2.py
+++ b/2024/d06/ex2/ex2.py
@ -0,0 +1,116 @@
+#!/usr/bin/env python
+
+import enum
+import itertools
+import sys
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+class Direction(enum.StrEnum):
+    UP = "^"
+    RIGHT = ">"
+    DOWN = "v"
+    LEFT = "<"
+
+    def step(self, p: Point) -> Point:
+        dx: int
+        dy: int
+
+        match self:
+            case Direction.UP:
+                dx, dy = -1, 0
+            case Direction.RIGHT:
+                dx, dy = 0, 1
+            case Direction.DOWN:
+                dx, dy = 1, 0
+            case Direction.LEFT:
+                dx, dy = 0, -1
+
+        return Point(p.x + dx, p.y + dy)
+
+    def turn_right(self) -> "Direction":
+        match self:
+            case Direction.UP:
+                return Direction.RIGHT
+            case Direction.RIGHT:
+                return Direction.DOWN
+            case Direction.DOWN:
+                return Direction.LEFT
+            case Direction.LEFT:
+                return Direction.UP
+
+
+class Guard(NamedTuple):
+    pos: Point
+    dir: Direction
+
+    def patrol_step(self, blockers: set[Point]) -> "Guard":
+        next_step = self.dir.step(self.pos)
+        if next_step not in blockers:
+            return Guard(next_step, self.dir)
+        return Guard(self.pos, self.dir.turn_right())
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> tuple[Guard, set[Point]]:
+        guard: Guard | None = None
+        blockers: set[Point] = set()
+
+        for x, line in enumerate(input):
+            for y, c in enumerate(line):
+                if c == ".":
+                    continue
+                if c == "#":
+                    blockers.add(Point(x, y))
+                    continue
+                guard = Guard(Point(x, y), Direction(c))
+
+        assert guard is not None  # Sanity check
+        return guard, blockers
+
+    def loops(guard: Guard, blockers: set[Point], dims: Point) -> int:
+        max_x, max_y = dims
+        visited: set[Guard] = set()
+        while True:
+            if not (0 <= guard.pos.x < max_x):
+                break
+            if not (0 <= guard.pos.y < max_y):
+                break
+            if guard in visited:
+                return True
+            visited.add(guard)
+            guard = guard.patrol_step(blockers)
+        return False
+
+    def count_obstructions(guard: Guard, blockers: set[Point], dims: Point) -> int:
+        res = 0
+        max_x, max_y = dims
+        for x, y in itertools.product(range(max_x), range(max_y)):
+            candidate = Point(x, y)
+            if candidate in blockers:
+                continue
+            if candidate == guard.pos:
+                continue
+            if not loops(guard, blockers | {candidate}, dims):
+                continue
+            res += 1
+        return res
+
+    lines = input.splitlines()
+    guard, blockers = parse(lines)
+    max_x, max_y = len(lines), len(lines[0])
+    return count_obstructions(guard, blockers, Point(max_x, max_y))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d06/ex2/input
+++ b/2024/d06/ex2/input
@ -0,0 +1,130 @@
+.........................................#.....#..##.....................#...........................#.....................#....#.
+..................#................................#..#.................................#................#........................
+.....##.........#..#........#......#............#.....#..................#............................#...#...#..#...#............
+#..#...#....#...#.................................#.........................................#...............................#.....
+.................##...................................................#.........................#....................#............
+.............#.............#...................#...................#..................................#....#..#........#....#.....
+..#.........................................................................................##....#.................#.............
+...........#.........#.....#..#.................#...........##..........#....#....................................#........#.#....
+#...#.........................................#..........................................................#........................
+.............................................#................................#...............................##..........#.......
+......#....#..............#..........................................#....#........................#...................##....#....
+........#.#..............................#..#.............#.......#............................................................#..
+....#...............#...#..#......#...........................#........................#...........#...#...................#......
+..........................#...........##....#.......................................#..........................#.#................
+....................#.........................................................#........#..........................................
+..............#.............#.##.............#.........#..........#.......................................#...#.........#..#......
+...............................................................#..........#........#.........#.............#.............#........
+............#.................#...................#....#......................................................................#...
+.......#....##....#......##.........#...........................................#....................................#.........#..
+......#...#......................#............................##....##....................#.......................................
+...................................##....................#.............................#........................#.................
+..........................#.#.........................#..........................................................#................
+.............#...#..........................................................#..#.#.#.....#....#.....#...................#........#
+....#......#.............#...#......#.........#............##..................#.......................#..........................
+.......................#.....#...................................#..........................#.....................................
+#.....##....................................#.....#.....................................................#....#....................
+............#...#...................................................................#.........#......................#............
+................#....................................#.....#.........#.........#..............#...................................
+..........................................................................................#.....#.#...#.........#.......#.........
+#.............#..............................................#...#.#..#.....................#...#............#.#...#..............
+..........................................#..................................................................#...#................
+.........#.............................................#................................#.................#.....#................#
+........................................................................................#.......#.....#..........#..........#.....
+...........................#.......#......#..........#............#...............#........#...#......#...........................
+...##...................#.................................#..................................##...................................
+........................................................#.#.#.....#............................##................#................
+......................................#....................#..................#...#.............................#...........#.....
+.............................#...#.................#.............................#..............#.................................
+#.....................................................................................................................#..#.....#..
+...........................#..............................................#................................#....................#.
+......#..................##................#....................#.............................................................#..#
+.................#....................................................................................#...........................
+....#.#..................................#..#........................##...#.............................#..............#..........
+...............................................................................................................#...#.....#........
+..#...................#.......................#........................................................................#..........
+..#............#......................................###.........#..............................#..........#.................#...
+.................................#..........................................................................#............#........
+......................#...#...............#..............................#.......#........................#...........#........#..
+..#..................#............................................................................#......#........................
+..........................................................................#....#........#...................#.............#.......
+..............#.........#.#............................................................................................#..........
+........................#...#............................................#..............................#.........................
+.........................................#...................................................#........................#...........
+...#.................................................#..........#.............................#.....#.#.........#.................
+............................#...........#...............................................................#........................#
+..........................#..#..................#....................................#..................#.......................#.
+......#...................#..............................#........#.##..........................................................#.
+...........................#.....#.............................................................................#..................
+..............#........................................................#.#.......#...#................#....#......................
+...#...#..........................................................................................................................
+..........##.....................#.#.............#...............................#.........................................#......
+.#.#...................#.................................#.................................................#....#.................
+........................#..............................................................................................#.......#..
+...#....................................................................................................#.....##.....#............
+.............#........................#.....................................................#.............#....................#.#
+#........................................................................................#.....#..................................
+........#..............#...............................#.......#...................................#..........#...................
+.....................#.........................#.......#.......#.....#...........................................................#
+...............#.....................................................................#..........#.................................
+.................................#....#..........#..............................#...........#............................#........
+..............#......#.........#...#.............#.......................#....#...................................................
+...........................................................^.......................................................#..............
+..........#...............................#.........................#.....................................................#.....#.
+.##.....................#....................#.....#.......................................................#..##...#..........#...
+.......................#...........#..#.#.....................................................#....................#..............
+..................................................................#......#.............#..................................#.......
+.#............................................#........................#...................................#.........#............
+..................................................................................#.##.........................#..................
+................#........#...........................................#...................................#........................
+...............#........#....#...................#................................#........#.....#..........#.................#...
+.....#.............................#..........................................................................................#...
+............#..............#.....#........................................#............#............##..........#.................
+........................................................................................#..........................#........##....
+..#............................#...#.................................#....#..............#........................................
+...#.....................#...........................................................................#.....................#......
+....#.........................#.............#..................................#.........#..............#.........................
+.....................#...................................................................................#..#......#..............
+.....#.................................#...............................#.....#..........#.........................................
+............#........#..........#....................#....................#..#.#.....................................#............
+........................................#......#......................#......................................#..#.......#.........
+...#...........#...............#.................#.............................................#..........#...#...................
+.......#....##..............................#......#.......................#..................#..........#.................#...#..
+.................................##...........................................................#....#..........#.#........#........
+..................................#....##..#..#.......#............................#............#.#........................#......
+..........................................#.....................................#.............##...#............#.................
+....#....................#................................#....#..#.....................#................#...#..#..#..............
+.............#...#..............................................................................#.................................
+..........#..........................#.......................................#....................#..#.......#.........#.....#....
+......................#............#...............#.....#.................#...............................#...#....#.........##..
+..........................................................................##.............................#...#..............#.....
+#.#...#..................................................#..................................#..#...#..............................
+...........................................#....#..............#.........................#........................................
+...........#....................#.....................##........................#.....#...................................#....#..
+..........#..........#.................................................#...............................................#..........
+.....................................................................................#......#.....................#.#.............
+........#.#..........................#...............................................................................#............
+..............#..#.............#...........#......................#....#..#......#...................#............................
+........#.......#.................#........#..........#.....................#.........................................#...........
+..........................................................#...................................#.....#.........#......#...#........
+..........#.....#.....................#............#............#.#......................#....#.##.............#...........#......
+...#.#..#.......#......#........#...........................#....................#.....#.........#...........#.................#..
+........#.......................................#............#.............#..................#......#......#...............#.#...
+....................#.....#........#.........................#.................................................#................#.
+.......#..#...........................................#......#..................#..#......................#..#....................
+#.#........#....#...#.............................................#............................#.....................#............
+#...................#...........#...................#..#................................................................#.#.......
+............#...#.#...........#..#.....................................................................#........................#.
+...#..............................................#..............#......#...#..............................................#......
+................#...#..#..................................................................................................##...#..
+.............................#...#..#........#.........#...#...................#............................................#.....
+............#......................#.......................................................#.#....................................
+...#......................#......#.#...........................................#.....#....#......................#...#............
+.....#..#..........#.............................#..........................................#............#..................#.....
+.................#...#.......................#..................................................#....................#............
+............#..................................................#.....#..............#.......#.............................#.#....#
+........#.............#..#.......................................................................................#.........#......
+......#...................#..........................................................#................#................#.........#
+..................#...........................#.....#....#.......................................#..#......................#......
+....................#....................................#....................#........#............#........#....#...............
+.........#..............#....#.............................#..#..........#........#.....................#.#.........#.............
--- a/2024/d07/ex1/ex1.py
+++ b/2024/d07/ex1/ex1.py
@ -0,0 +1,38 @@
+#!/usr/bin/env python
+
+import operator
+import sys
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> list[tuple[int, list[int]]]:
+        return [
+            (int(value), [int(n) for n in numbers.split()])
+            for value, numbers in map(lambda l: l.split(": "), input)
+        ]
+
+    def solvable(target: int, numbers: list[int]) -> bool:
+        def helper(current_value: int, current_index: int) -> bool:
+            next_index = current_index + 1
+            if len(numbers) == next_index:
+                return target == current_value
+            if current_value > target:
+                return False
+            for op in (operator.add, operator.mul):
+                if helper(op(current_value, numbers[next_index]), next_index):
+                    return True
+            return False
+
+        return helper(numbers[0], 0)
+
+    equations = parse(input.splitlines())
+    return sum(value for value, numbers in equations if solvable(value, numbers))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d07/ex1/input
+++ b/2024/d07/ex1/input
@ -0,0 +1,850 @@
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+51480079: 88 650 9 8 1
+45694842: 2 9 227 6 1 5 4 382 1 5 2
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--- a/2024/d07/ex2/ex2.py
+++ b/2024/d07/ex2/ex2.py
@ -0,0 +1,41 @@
+#!/usr/bin/env python
+
+import operator
+import sys
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> list[tuple[int, list[int]]]:
+        return [
+            (int(value), [int(n) for n in numbers.split()])
+            for value, numbers in map(lambda l: l.split(": "), input)
+        ]
+
+    def solvable(target: int, numbers: list[int]) -> bool:
+        def concat(lhs: int, rhs: int) -> int:
+            return int(str(lhs) + str(rhs))
+
+        def helper(current_value: int, current_index: int) -> bool:
+            next_index = current_index + 1
+            if len(numbers) == next_index:
+                return target == current_value
+            if current_value > target:
+                return False
+            for op in (operator.add, operator.mul, concat):
+                if helper(op(current_value, numbers[next_index]), next_index):
+                    return True
+            return False
+
+        return helper(numbers[0], 0)
+
+    equations = parse(input.splitlines())
+    return sum(value for value, numbers in equations if solvable(value, numbers))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d07/ex2/input
+++ b/2024/d07/ex2/input
@ -0,0 +1,850 @@
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--- a/2024/d08/ex1/ex1.py
+++ b/2024/d08/ex1/ex1.py
@ -0,0 +1,50 @@
+#!/usr/bin/env python
+
+import itertools
+import sys
+from collections import defaultdict
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> dict[str, set[Point]]:
+        res: dict[str, set[Point]] = defaultdict(set)
+        for x, line in enumerate(input):
+            for y, c in enumerate(line):
+                if c == ".":
+                    continue
+                res[c].add(Point(x, y))
+        return res
+
+    def find_antinodes(grid: dict[str, set[Point]], dims: Point) -> set[Point]:
+        max_x, max_y = dims
+        antinodes: set[Point] = set()
+        for antennas in grid.values():
+            for start, end in itertools.permutations(antennas, 2):
+                dx, dy = end.x - start.x, end.y - start.y
+                x, y = start.x - dx, start.y - dy
+                if not (0 <= x < max_x):
+                    continue
+                if not (0 <= y < max_y):
+                    continue
+                antinodes.add(Point(x, y))
+        return antinodes
+
+    lines = input.splitlines()
+    max_x, max_y = len(lines), len(lines[0])
+    grid = parse(lines)
+    return len(find_antinodes(grid, Point(max_x, max_y)))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d08/ex1/input
+++ b/2024/d08/ex1/input
@ -0,0 +1,50 @@
+.A...........5........................pL..........
+.................................p......L.........
+......................................L...........
+.......................................C..........
+........v...................7...............C.....
+..................................p........L......
+.................vA......3........................
+.......A.....3....................................
+........................s....X3...................
+..A......5.................9....3.................
+.......8...........s.........7.............C..m...
+................8......t........7.......9.........
+....................o......Z.............y........
+...............s.......Y.v.o......y....0..........
+..................................................
+..5................8.......................m...J..
+5...............................0....aX...........
+.V............v.s.........Z.o..7....a.............
+2..........f...........P..............9...J.M.....
+...............f..........P.....V......y....1.J...
+...g...................o.......0l...........N..B..
+..................Y...............................
+......G...............f.....Z..t..............1...
+............G......Z......h................B....C.
+.........w....h.Y....j............a........J..y...
+.............P....z..........................1....
+w.......P...z...R......r8.........................
+........w.........................................
+.................h.G.........m............BM......
+......4.....fa.................G...i....X......W..
+V........4..............................tW.9...i..
+............2h..............0.......tX...M........
+.....z.........................l..................
+.......2..........................................
+..r........................Y................W...i.
+.......w.........q..................i.............
+.........H.2....4.................................
+..........Q.....j.......M.....lrN.................
+..x...H.Q.......O.....c...........................
+....H.......................S.....................
+.....................O..S.......6..........b......
+...c.......F...Q.j.........l....T.....R...........
+...........Q.F.......c.I.....1.........R....T.....
+............F........I.O......r..T.............b..
+..n.........q.........F.I..............T..b.......
+.......n...........z..O....x.......N........b.....
+.....S............................................
+..........q.........cS..x4I......6................
+..j.....gn.q.......x...................N...6......
+...........g..n................R......B...........
--- a/2024/d08/ex2/ex2.py
+++ b/2024/d08/ex2/ex2.py
@ -0,0 +1,51 @@
+#!/usr/bin/env python
+
+import itertools
+import sys
+from collections import defaultdict
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> dict[str, set[Point]]:
+        res: dict[str, set[Point]] = defaultdict(set)
+        for x, line in enumerate(input):
+            for y, c in enumerate(line):
+                if c == ".":
+                    continue
+                res[c].add(Point(x, y))
+        return res
+
+    def find_antinodes(grid: dict[str, set[Point]], dims: Point) -> set[Point]:
+        max_x, max_y = dims
+        antinodes: set[Point] = set()
+        for antennas in grid.values():
+            for start, end in itertools.permutations(antennas, 2):
+                dx, dy = end.x - start.x, end.y - start.y
+                for i in itertools.count():
+                    x, y = start.x - dx * i, start.y - dy * i
+                    if not (0 <= x < max_x):
+                        break
+                    if not (0 <= y < max_y):
+                        break
+                    antinodes.add(Point(x, y))
+        return antinodes
+
+    lines = input.splitlines()
+    max_x, max_y = len(lines), len(lines[0])
+    grid = parse(lines)
+    return len(find_antinodes(grid, Point(max_x, max_y)))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d08/ex2/input
+++ b/2024/d08/ex2/input
@ -0,0 +1,50 @@
+.A...........5........................pL..........
+.................................p......L.........
+......................................L...........
+.......................................C..........
+........v...................7...............C.....
+..................................p........L......
+.................vA......3........................
+.......A.....3....................................
+........................s....X3...................
+..A......5.................9....3.................
+.......8...........s.........7.............C..m...
+................8......t........7.......9.........
+....................o......Z.............y........
+...............s.......Y.v.o......y....0..........
+..................................................
+..5................8.......................m...J..
+5...............................0....aX...........
+.V............v.s.........Z.o..7....a.............
+2..........f...........P..............9...J.M.....
+...............f..........P.....V......y....1.J...
+...g...................o.......0l...........N..B..
+..................Y...............................
+......G...............f.....Z..t..............1...
+............G......Z......h................B....C.
+.........w....h.Y....j............a........J..y...
+.............P....z..........................1....
+w.......P...z...R......r8.........................
+........w.........................................
+.................h.G.........m............BM......
+......4.....fa.................G...i....X......W..
+V........4..............................tW.9...i..
+............2h..............0.......tX...M........
+.....z.........................l..................
+.......2..........................................
+..r........................Y................W...i.
+.......w.........q..................i.............
+.........H.2....4.................................
+..........Q.....j.......M.....lrN.................
+..x...H.Q.......O.....c...........................
+....H.......................S.....................
+.....................O..S.......6..........b......
+...c.......F...Q.j.........l....T.....R...........
+...........Q.F.......c.I.....1.........R....T.....
+............F........I.O......r..T.............b..
+..n.........q.........F.I..............T..b.......
+.......n...........z..O....x.......N........b.....
+.....S............................................
+..........q.........cS..x4I......6................
+..j.....gn.q.......x...................N...6......
+...........g..n................R......B...........
--- a/2024/d09/ex1/ex1.py
+++ b/2024/d09/ex1/ex1.py
@ -0,0 +1,62 @@
+#!/usr/bin/env python
+
+import sys
+
+
+def solve(input: str) -> int:
+    def parse(input: str) -> tuple[list[int], list[int]]:
+        files: list[int] = []
+        free: list[int] = []
+
+        for i, c in enumerate(input):
+            if c == "\n":
+                continue
+            (files if i % 2 == 0 else free).append(int(c))
+
+        # Make `to_disk` slightly simpler
+        if len(files) > len(free):
+            free.append(0)
+
+        return files, free
+
+    def to_disk(files: list[int], free: list[int]) -> list[int | None]:
+        assert len(files) == len(free)  # Sanity check
+
+        disk: list[int | None] = []
+
+        for i in range(len(files)):
+            disk.extend([i for _ in range(files[i])])
+            disk.extend([None for _ in range(free[i])])
+
+        return disk
+
+    def compact(disk: list[int | None]) -> list[int]:
+        last = len(disk) - 1
+        for i in range(len(disk)):
+            # Are we finished compacting?
+            if i >= last:
+                break
+            # Is this a free space?
+            if disk[i] is not None:
+                continue
+            assert disk[last] is not None  # Sanity check
+            disk[i], disk[last] = disk[last], disk[i]
+            # Find next block to compact
+            while disk[last] is None:
+                last -= 1
+        # At this point, `None` are at the end
+        # Naive list comprehension to appease the type checker
+        return [n for n in disk if n is not None]
+
+    files, free = parse(input)
+    disk = to_disk(files, free)
+    return sum(i * n for i, n in enumerate(compact(disk)))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d09/ex1/input
+++ b/2024/d09/ex1/input
--- a/2024/d09/ex2/ex2.py
+++ b/2024/d09/ex2/ex2.py
@ -0,0 +1,93 @@
+#!/usr/bin/env python
+
+import sys
+from typing import NamedTuple
+
+
+class FilePosition(NamedTuple):
+    pos: int
+    length: int
+
+
+class ParsedDisk(NamedTuple):
+    files: list[FilePosition]
+    holes: list[FilePosition]
+
+
+def solve(input: str) -> int:
+    def parse(input: str) -> tuple[list[int], list[int]]:
+        files: list[int] = []
+        free: list[int] = []
+
+        for i, c in enumerate(input):
+            if c == "\n":
+                continue
+            (files if i % 2 == 0 else free).append(int(c))
+
+        # Make `to_disk` slightly simpler
+        if len(files) > len(free):
+            free.append(0)
+
+        return files, free
+
+    def to_disk(files: list[int], free: list[int]) -> ParsedDisk:
+        assert len(files) == len(free)  # Sanity check
+
+        pos = 0
+        disk_files: list[FilePosition] = []
+        holes: list[FilePosition] = []
+
+        for i in range(len(files)):
+            disk_files.append(FilePosition(pos, files[i]))
+            pos += files[i]
+            holes.append(FilePosition(pos, free[i]))
+            pos += free[i]
+
+        return ParsedDisk(disk_files, holes)
+
+    def compact(disk: ParsedDisk) -> list[int | None]:
+        def move_files(disk: ParsedDisk) -> dict[int, FilePosition]:
+            new_files: dict[int, FilePosition] = {}
+            for i, (pos, length) in reversed(list(enumerate(disk.files))):
+                for h in range(len(disk.holes)):
+                    # Hole must be big enough to fit the file
+                    if length > disk.holes[h].length:
+                        continue
+                    # Hole must be to the left of the file
+                    if pos < disk.holes[h].pos:
+                        break
+                    # We found a hole, move the file into it
+                    pos = disk.holes[h].pos
+                    disk.holes[h] = FilePosition(
+                        length=disk.holes[h].length - length,
+                        pos=disk.holes[h].pos + length,
+                    )
+                    break
+                new_files[i] = FilePosition(pos, length)
+            return new_files
+
+        def to_disk(files: dict[int, FilePosition]) -> list[int | None]:
+            disk: list[int | None] = [None] * max(
+                (f.pos + f.length) for f in files.values()
+            )
+            for i, f in files.items():
+                for j in range(f.length):
+                    assert disk[f.pos + j] is None  # Sanity check
+                    disk[f.pos + j] = i
+            return disk
+
+        new_files = move_files(disk)
+        return to_disk(new_files)
+
+    files, free = parse(input)
+    disk = to_disk(files, free)
+    return sum(i * n for i, n in enumerate(compact(disk)) if n is not None)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d09/ex2/input
+++ b/2024/d09/ex2/input
--- a/2024/d10/ex1/ex1.py
+++ b/2024/d10/ex1/ex1.py
@ -0,0 +1,66 @@
+#!/usr/bin/env python
+
+import sys
+from collections.abc import Iterator
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+    def neighbours(self) -> Iterator["Point"]:
+        for dx, dy in (
+            (-1, 0),
+            (1, 0),
+            (0, -1),
+            (0, 1),
+        ):
+            yield Point(self.x + dx, self.y + dy)
+
+
+TopoMap = dict[Point, int]
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> TopoMap:
+        return {
+            Point(x, y): int(c)
+            for x, line in enumerate(input)
+            for y, c in enumerate(line)
+        }
+
+    def find_trail_heads(map: TopoMap) -> set[Point]:
+        return {p for p, height in map.items() if height == 0}
+
+    def score_trail(map: TopoMap, start: Point) -> int:
+        assert map[start] == 0  # Sanity check
+        res = 0
+        queue = {start}
+        visited: set[Point] = set()
+        while queue:
+            p = queue.pop()
+            visited.add(p)
+            cur_height = map[p]
+            if cur_height == 9:
+                res += 1
+            for n in p.neighbours():
+                if map.get(n, cur_height) != (cur_height + 1):
+                    continue
+                if n in visited:
+                    continue
+                queue.add(n)
+        return res
+
+    map = parse(input.splitlines())
+    trail_heads = find_trail_heads(map)
+    return sum(score_trail(map, head) for head in sorted(trail_heads))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d10/ex1/input
+++ b/2024/d10/ex1/input
@ -0,0 +1,59 @@
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--- a/2024/d10/ex2/ex2.py
+++ b/2024/d10/ex2/ex2.py
@ -0,0 +1,61 @@
+#!/usr/bin/env python
+
+import sys
+from collections.abc import Iterator
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+    def neighbours(self) -> Iterator["Point"]:
+        for dx, dy in (
+            (-1, 0),
+            (1, 0),
+            (0, -1),
+            (0, 1),
+        ):
+            yield Point(self.x + dx, self.y + dy)
+
+
+TopoMap = dict[Point, int]
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> TopoMap:
+        return {
+            Point(x, y): int(c)
+            for x, line in enumerate(input)
+            for y, c in enumerate(line)
+        }
+
+    def find_trail_heads(map: TopoMap) -> set[Point]:
+        return {p for p, height in map.items() if height == 0}
+
+    def rate_trail(map: TopoMap, start: Point) -> int:
+        def helper(pos: Point) -> int:
+            if map[pos] == 9:
+                return 1
+            res = 0
+            for n in pos.neighbours():
+                if map.get(n, -1) != (map[pos] + 1):
+                    continue
+                res += helper(n)
+            return res
+
+        assert map[start] == 0  # Sanity check
+        return helper(start)
+
+    map = parse(input.splitlines())
+    trail_heads = find_trail_heads(map)
+    return sum(rate_trail(map, head) for head in sorted(trail_heads))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d10/ex2/input
+++ b/2024/d10/ex2/input
@ -0,0 +1,59 @@
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--- a/2024/d11/ex1/ex1.py
+++ b/2024/d11/ex1/ex1.py
@ -0,0 +1,35 @@
+#!/usr/bin/env python
+
+import sys
+
+
+def solve(input: str) -> int:
+    def parse(input: str) -> list[int]:
+        return [int(n) for n in input.split()]
+
+    def blink(stones: list[int]) -> list[int]:
+        res: list[int] = []
+        for n in stones:
+            if n == 0:
+                res.append(1)
+            elif len(str(n)) % 2 == 0:
+                s = str(n)
+                lhs, rhs = s[: len(s) // 2], s[len(s) // 2 :]
+                res.extend((int(lhs), int(rhs)))
+            else:
+                res.append(n * 2024)
+        return res
+
+    stones = parse(input)
+    for _ in range(25):
+        stones = blink(stones)
+    return len(stones)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d11/ex1/input
+++ b/2024/d11/ex1/input
@ -0,0 +1 @@
+0 7 6618216 26481 885 42 202642 8791
--- a/2024/d11/ex2/ex2.py
+++ b/2024/d11/ex2/ex2.py
@ -0,0 +1,37 @@
+#!/usr/bin/env python
+
+import sys
+from collections import Counter
+
+
+def solve(input: str) -> int:
+    def parse(input: str) -> Counter[int]:
+        return Counter(int(n) for n in input.split())
+
+    def blink(stones: Counter[int]) -> Counter[int]:
+        res: Counter[int] = Counter()
+        for n, count in stones.items():
+            if n == 0:
+                res[1] += count
+            elif len(str(n)) % 2 == 0:
+                s = str(n)
+                lhs, rhs = s[: len(s) // 2], s[len(s) // 2 :]
+                res[int(lhs)] += count
+                res[int(rhs)] += count
+            else:
+                res[n * 2024] += count
+        return res
+
+    stones = parse(input)
+    for _ in range(75):
+        stones = blink(stones)
+    return sum(stones.values())
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d11/ex2/input
+++ b/2024/d11/ex2/input
@ -0,0 +1 @@
+0 7 6618216 26481 885 42 202642 8791
--- a/2024/d12/ex1/ex1.py
+++ b/2024/d12/ex1/ex1.py
@ -0,0 +1,67 @@
+#!/usr/bin/env python
+
+import sys
+from collections.abc import Iterator
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+    def neighbours(self) -> Iterator["Point"]:
+        for dx, dy in (
+            (-1, 0),
+            (1, 0),
+            (0, -1),
+            (0, 1),
+        ):
+            yield Point(self.x + dx, self.y + dy)
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> dict[Point, str]:
+        return {
+            Point(x, y): c for x, line in enumerate(input) for y, c in enumerate(line)
+        }
+
+    def find_plots(garden: dict[Point, str]) -> list[set[Point]]:
+        res: list[set[Point]] = []
+        visited: set[Point] = set()
+
+        for p, plant in garden.items():
+            if p in visited:
+                continue
+            plot: set[Point] = set()
+            to_visit = {p}
+            while to_visit:
+                p = to_visit.pop()
+                visited.add(p)
+                plot.add(p)
+                assert garden[p] == plant  # Sanity check
+                for n in p.neighbours():
+                    if garden.get(n) != plant:
+                        continue
+                    if n in visited:
+                        continue
+                    to_visit.add(n)
+            res.append(plot)
+        return res
+
+    def fence_price(plot: set[Point]) -> int:
+        area = len(plot)
+        perimeter = sum(n not in plot for p in plot for n in p.neighbours())
+        return area * perimeter
+
+    garden = parse(input.splitlines())
+    plots = find_plots(garden)
+    return sum(map(fence_price, plots))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d12/ex1/input
+++ b/2024/d12/ex1/input
@ -0,0 +1,140 @@
+TTTTTTTTTTTTTTDDDDDDDDDDDDAAAKKKKKKKKKKKKKKKKKKKKKKKRRRRRRRRRRRRRXXXXXXXXXXZFFFFFFFFFFOFVVVVVVQQQQQUQQQQQQQQQQQQQQQQQCCGGNNNNHHHHHHHHHHHHHHH
+TTTTTTTTTTTTTTDDDDDDDDDDDDAAAAAAKKKKKFKKKKKKKKKKKKKKRRRRRRRRRRRXXXXXXXXXXXXZFFFFFFFFFFFFFFFVMMQQQQQQQQQQQQQQQQQQQQQQQGGGGNNNNHHHHHHHHHHHHHHH
+TTTTTTTTTTTTDDDDDDDDDDDUAAAAAAAAAKKFFFKKKKKKKKKKKKKKRRRRRRRRRRXXXXXXXXMXMMFFFFFFFFFFFFFFFMMMMMNQQQQQQQQQQQQQQQQQQQQQZZGGNNNNHHHHHHHHHHHHHHHH
+TTTTTTTBTTTTDDDDDDDDDDUUUAAAAAAAKKKKFFKKKKKKKKKVLLLLLRRRRRRRRRXXXXXXXMMMMMFMMMMFFFFFFFFFXMMHMMNQQQQQQQIQQQQQQQQQQQQQQQGGNNNNVVVHHHHHHHHHHHHH
+TTTTBTBBTTTTDDDDDDDDDDUUUAAAAAAAKKKFFKKKKKKKKKNLLLLLLRRRRRRRRRXXXXXXXMMMMMMMMMFFFFFFFFHXXXMHHNNQQQQQQQIIIQQQQQQQQQQQQQGGVVVVVOHHHHHRRRHRHHHD
+TBBBBBBBTTTTDDDDDDDDUDUUUAAAFAAAKKKFFKFFFKKKKKKWWLLLLRRRRRROOOOOXBMMMMMMMMMMEFFMFFFFHHHHXMMHHHHQQQQQQQQIIQQQQQQQQQQQGGGGGVVVVVVZHHXRRRRRHDHD
+BBBBBBBBBTTTDDDDDDDUUUUUUGUFFFFKKKKKKFFFKKKKKKKWLLLLLLRRRROOOEOOOMMMMMMMMMMMMMUMMFFFFFHHHHHHHHHQQQQQIIIIIIQQIQQIIQQQUGGGGVVZVZZZZZRRRRRRDDHH
+BBBBBBBBTTTTDDDDDDXUUUUUUUUFFFFKKKKKKFIFKKKKKKKKLLLLLLRRLLOOOOOOOOMMMMMMMMMMMMMMFFFFFFHHHHHHHHHHHZZIIIIIIIQIIQQIIQQQGGGGGGGZZZZZZZRRRRMMHHHH
+BBBBBBBBTTTTDDXXXXXUUUUXUUFFFKKKKKKKKFEEKKKKKKKKKFLLLLLLLOOOOOOOOOMMMMMMMMMMMMMMFFFFFFFHHHHHHHHHHIIIIIIIIIIIIIIIINQQGGGGGGGZGZZZZZRRRRRRHHHH
+BBBBBBBBBBDDDDXXXXUUUUUUSFFFFKKKKKKEEEEEEKKKKKKKKFKKKLLLLLTOOOOOOOOOMMMMMMMMSWSFFFFFFFFHIIIIHHHHHMMIWIIIIIIIIIIGGGGGGGGGGGGGGGZZZZRRRRRRNHHH
+BBBBBBBBBBBDXDXXXXXXOOOOOOOOOOKKKKEEEEEKKKKKKKKKKKKKKLLLLLOOOOOOOOOOOOMMMMMMSSSSSFFFFFHIIIIIHHHHHIIIIIIIIIIIIIWGGGGGGGGGGGZGGZZZZZZRRNNNNHHN
+BBBBBBBBBBBDXXXXXXXGOOOOOOOOOOXKKKKEEEEEKKBKKKNKKKKKKKKLLLLOOOOOOOOOOOMMLLMMSSSSSSFFFFHIIIIIHHHHHIIIIIIIIIIIIIIIGGGGGGGGGGZZZZZZZZZRRRRRNHHN
+BBBBBBBBBBBBXXXXXXXXOOOOOOOOOOKKKKKKXEEEEEENKNNNKKLLKKKKLLLLLOOOOLOOLLLLLLLSSSSSSSFFFHHIIIIIHBHHHIIIIIIIIIIIIIIGGGGGGGGGGGZZZZZZZZZRZRRNNNNN
+BBBBBBBBBBBBBXXXXXXXOOOOOOOOOOXKXKKKKEEEEEENNNNNNLLLLKKKLLLLLOOOLLLLLLLLLLLSSSSSSSFFFFFIIIHBBBHHHIIIIIIIIIIIICCGGGGGGGGGGGZZZZZZZZZZZRRNNNNN
+BBBBBBBBBBBBCXXXXOOOOOOOOOOOOOXKXKKKKESSSSSSNNNLLLLLLKOOLLLLLOLLLLLLLLLLLAAASSSSSSSFFFFIIIBBBBBBIIIBIIIIIIIICCCGMGGGGGGGGZZZZZZZZZZZNNRNNNNN
+BBBBBBJBBBBXXXXXXOOOOOOOOOOOOOXXXKKKXESSSSSSSSSSSLLLLLLOOLOLLLLLLLLLLLAAAAAASSSSSSSFFFFIIIVBBBBBBIBBBIIIIIIIICGGGGGGGGGGGZZZZZZZZZZZNNNNNNNN
+BBBBBBBBBBXXXXXXXOOOOOOOOOOOOOXXXXNKXXSSSSSSSSSSSLLLLLOOOOOLLLLLLLLLLAAAAAAASSSSSSSSZFFFBBBBBBBBBBBBBBIIIIIIICCXXXGGGGGGGGGIZZZZZZZNNNNNNNNN
+FBBAABABBBFXXXXOOOOOOOOOOOOOOOXXXXNKXSSSSSSSSSSSSLLLLLLOOOOLLLLLLLLLEWAAAAAASSSSSSDDZFFFBBBBBBBBBBBBBBBIIIIICCCCCXGGGGGGGIIIZIIIZNZNNNNNNNNN
+FBBAAAAAAAXXXXXOOOOOOOOGGGVVVXXXXXXXXSSSSSSSSSSSSLLLLLLOOOOOOLOOOLLLEEEEAAASSSESSSDDZFFFBBBBBBBBBBBBBBBIBBIIIIIIIIXGXXGGIIIIIIIIINNNNNNNNNNI
+FBFAAAAAAAAAXXXOOOOOOOOGGGVVVXXXXXXXXSSSSSSSSSSSSLLLLLLOOOOOOOOOOLLEEEEAAAATSSSSDDDZZFZZSSSBBBBBBBBBBBBBBBIIIIIIIIXXXXIIIIIIIIIIINNNNNNNNNNI
+FFFFGAAAAAAAXLXOOOOOOOOGGGVVVXXXXXXXXSSSSSSSSSSSSLLLLLOOOOOOOOOOLLLEEEEAAAAASDDDDDZZZZZSSTTBBBBBOOBBBBBBBBIIIIIIIIXXIIIIIIIIIIIIIINNNNNNNNII
+FFGGGAAAAAAAXAAOOOOOOOOGGGGVVXXXXXXXXSSSSSSSNNNNLLLLLOOOOOOOOOOOLLLLEEELXDADDDDDDDZZZZZSZZTBBBBBOOOBBBBBBBIIIIIIIIXXXIIIIIIIIIIINNNNNNNNNNII
+FFFGGGGAAAAAAAAOOOOOOOOGVVGVVVVXXXXXXSSSSSSSNNLLLLBLLOOOOOOOOOOOLLLEEXXXXDDDDDDDDDZZZZZZZTTTTBBOOOBBBBBBBIIIIIIIIIXXIIIIIIIIIIINNNNNVNNVNNNI
+FFGGGPGALAAAOOOOOOOOOOOGVVVVVVVVXXXXXSSSSSSSNDDLLLLLLOOOOOOOOOOOOLLEEXXXXXDDDDDDDZZZZZZZZTTTBBOOOOOOBBBIIIIIIIIIIIIIIIIIIIIIIINNNNVVVVNVFNII
+GGGGGPGGLLAAOOOOOOOOOOOVVVVVVVXXXXXXXXXXDDDDDDDDLDDOOOOOOOOOOOOOTXXXXXXXXXXDDDDDZZZZZZZZZTTTTBBIOOOOBBBIIIIIIIIIIIXXXIIIIIIIINNNVVVVVVVVFJII
+GGGGGGGGGGGIOOOOOOOOOOOEVVVVVVXXXXXXXXXXDDDDDDDWWWWOOOOOMOOOOOOOXXXVXXXXXXXXDDDDZZZZZZZZZZTTTTLIIIIOOOOIIIIIIIIIIIXXXXIIIIIIINNNNVVVVVVVJJJI
+GGGGGGGGGGGIOOOOOOOOOOEEEEVVVVVXXXXXXXXXDDDDDDDWWWWWWWWWWOOHHOOXXXXXXXXXXXXDDDDDZZZZZZZZZZZZZZLIIIIIIIOIIIIIIIIIIIXXXXIIIIIIINNNNVVVVVVVJJJJ
+GGGGGGGGSGSMOOOOOOOOOOEEEVVVVVVVXXBXXDXDDDDDDDDWWWWWWWWWWHHHHOKGGGXXXXXXXXXDDDDDZZZZZZZZZNNNNIIIIIIIIOOIIIIIIIIIIXXXXIIIIIIINNNNNNNVVVVVVJJJ
+GGGGGGGWWWWWWWOOOOOOOOLLLLVVVSVVXXBBDDDDDDDDDDDWWWWWWWWWWHHHHGGGGGXXXXXXXXDDDDDVCZZZZZZZNNNNNIIIIIIIIIIIIIIIIIIIIXXXXIIIIIIIINNNNNTVVVVJVJJJ
+GGGGGGGWWWWWWWOOOOOOOOLLLLLLSSSXXXBDDDDDDDDDDDDWWWWWWWWWWHHHHGGGGGGXXXXXXXXDDDVVCCCZZZZIIIINNIIIIIIIIIIIIIHHHHXHHXXXXIIIIIINNNNNNNNLLLLJJJJJ
+GGGGGGGWWWWWWWOOOOOOOOLLLLLLSSSSSDDDDDDDDDDDDDDWWWWWWWWWWHHHHGNNGGGGGXXXXXXVVVYVVCVZZZIIIIINIIIIIIIIIIIIIIHHHHHHHXXXXIIJIIINNNNNNNNNLLLJJJJJ
+GGGGGGGWWWWWWWOOOOOOOOLLLLLLSSSSDDDDDDDDDPPDDDDWWWWWWWWWWHHHGGGGGGGGGXXXXXXVXVVVVVVVFZZIIIIIIIIIIIIIIIIIIIHHHHHHHXXXGGIIYNNNNNNNNNNQLLLJJJJJ
+GGGGGGGWWWWWWWOOOOOOOOLLLLLLSSSSSSSDSSSDDDPDDDDWWWWTHHTHHHHHHGYGGGGGGSXXXXXXXVVVVVVVFIIIIIIIIIIIIIIIIIIIIIHHHHHHHXXXGGYYYNNNNNYNNNNLLLLLLJJJ
+GGGGGGTWWWWWWWSOOOOOOOLLLLLVVSSVSSSDSSDDDDDDDDDWWWWTTHTTHHHHHGYGHGGGGGXXXXXXVVVVVVFFFIFFFIIIIIIIIIIIIIBHHHHHHHHHHHHGGGGYYNYYYYYNLLLLLLLLLJJJ
+GBBBBBBWWWWWWWSOOOOOOOLLLLVVVVVVVSSSSSSSDDDMDDDDDDDTTTTTHHHHHGYGHHHHGHHHSXXXXVVXXVFFFFFFFIIIIIIIIIIMIBBBBHHHHHHHHHHGGGYYYYYYYYYYLLLLLLLLLJJJ
+WBBBBBBWWWWWWWSSSSLLLLLLLLLVVVVVVVSSSSSDDDDMMMDDDDDTTTTTTTTTHGGGGHHHHHHSSSSXXVVVXXXFFFFFFFIIIIIIIIIIIBZZBBHHHHHHHHHGGGYYYYYYYYYXLLLLLLLLLLJJ
+GBBBBBBWWWWWWWSSSLLLLLLLLLLVVVVVVVSSSSSDDDDDMMMMMMTTTTTTTZZHHZZHHHHHHHSSSGSXXXXXXXFFFFFFIIIIIIIIZIZZZZZZBHHHHHHHHHGGGGGGYYYYYYYXXLLLLLLLLJJJ
+GBBBBBBBBJJJJJSSSSSLLLLLLLLVVVVVVVVVSSSDSSSMMMMMTTTTTTTTTTZZZZZZHHHHSSSSSSSSSSSSXFFFFFFFFIIIIIIZZZZZZZZZBHHTTTHHHGGGGGGGYYYYXXXXXXXLLLLLJJJJ
+LBBBBBBBBJJJJSSSSSSSHLLLLLLOOVVVVVVVVVSSSSSMMMMMMMTTTTTTTTZZZZZZZZZSSSSSSSSSSSSSFFFFFFFFFIIIZIZZZZZZZZZZZZTTTHHHHGGGGGGGGYYXXXXXXXXXLLJLJJJJ
+VBBBBBBBBJJJSSSSSSSSWLBLLLOOOVVVVVVVOZZSZSMMWMMMMTTTTTTTTTZZZZZZZZZCSSSSSSSSSSJJJJJFFFFFFFFZZZZZZZYYYYYYYYYYTTHGGGGGGGGGYYXXXXXXXXXXXLJJJJJJ
+VBBBBBBBBJJSSSSSSSSSWWLLLLOOOOVVVVVOOZZZZMVMMMMMMTTTTTTTTZZZZZZZZZZZSSSSSSSSSSSSSJFFFFFFFFLLNZZZZZYYYYYYYYYYTTGGGGGGGGGGYYYXXXXXXXXXXLJJJJJJ
+VBBBBBBBBJSSSSSSSSSSWLLLLLLOOOOOOOOOOZZZZMMMMMMMMMTTTTTTTYZZZZZZZZZZZZSSSSSSSSSSSFFFFFFFFFLLZZZZZZYYYYYYYYYYTTGGGGGGGGGGYYYXXXXXXXXXXJJJJJJJ
+VJJJJBBBBJLSSSSSSSSWWWLLWLOOOOOOOOLOZZZZZZMMMMMMMVTTTTTTTZZZZZZZZZZZSSSSSSSSSSSSSSFFFFFLLLLLZZZZZZYYYYYYYYYYTTTFFGGGFGGQQQYXCCXXXXXXXXJJJJJJ
+VVVJJBBBBLLLSSSSSSSWWWWWWWWOOOWWOLLLZZZZZZNNMMMMQTTTTTTTMMMMZZZZZZEZZSSSSSSSSSSSSLFLLFFLLLLLLZZZZKYYYYYYYYYYTFFFFGFFFGQQYYYPKCKXXXXVJJJJJJJJ
+VVVJJBBBBLLLLSSSSSSWWWWWWWWWOWWWLLLLLLZZZZZNNMMQQTTTTTTMMMMMZZZZZZESSSSSSSSSSSLSSLLLFFFLLLLLLLLLZLYYYYYYYYYYFFFFFFFFFQQQYYYPKKKKKBBJJLJJJJJJ
+BBBBJPPJLLLLLSQQLWSWWWWWWWWWOWWWLLLLLLZZZNNNNMMMTTTTTTMMMMMZZYZYYYESSSKKKSSSSLLLLLLLFLLLLLLLLLLLLLYYYYYYYYYYTFFFFFFFFQQQPPPPPKKKKBBLILJJLJJJ
+LLLLLPPJFLLLLLLLLWWWWWWWWWWWWWWWLLLLLLLLLMNMMMMTTTTTTMMMMMMMHYYYYYYYSSKKKSSSSSSSLLLLLLLLLLLLLLLLLLYYYYYYYYYYTFFFFFTTTQQTPPPXPKTKKBBLLLLLLLLJ
+LLLLLLLFFFLLLLLLLWWWWWWWWWWWAAAAZZZLLLLLMMMMMMMMMMTTTTMMMMMMMMMYYYYYYYKKKSSSSSSSLLLLLLLTTTLLYYYYYYYYYYYYYYYYFFFFFFFTQQQTPPXXTKTKPLLLLLLLLLLL
+LLLLLLLFFLLLLLLLLLWWWWWWWWWWAAAAZZZZZLLLMMMMMMMMMMMMMMMMMMMMMMYYYYYYYYYKTTTTTSSTTTTLLTLLTLLLYYYYYYYYYYYTTAAAAAFFFFZTTQTTXXXXTTTTTLLLLLLLLLLL
+LLLLLLLLLLLLLLLLLLBOOOWWWWWWAAAAZZZZZLZLLMMMMMMMMMMMMMMMMMMMMMYYYYYYYYYKKTTTTTTTTTLLTTTTTTRRYYYYYYYYYYYTTAAAAAZZZZZTTQTTTXXTTTTTTTLLLLLLLLLL
+LLLLLLLLLLLLLLLLLLOOOOWWWWWWWWAZZZZZZZZZLLJPPMMMMMMMMMFFFFFMMYYYYYYYYYTTTTTTTTTTTLLTTTTTTTTRYYYYYYYYYYYOOOAAAAAZZZZZTTTTTTTTTTTTTTLLLLLLLLLL
+LLLLLLLLLLLLLLLLOLOOOOOWWWWWWAAZZZZZZZZZLJJPPPMLMMMMMMFCFFFMMYYYYYYYYTTTTTTTTTTTTTLLTTTTTTRRYYYYYYYYYYYOOAAAAAZZZZZZTTTTTTTTTTTTULLLLLLLLLLL
+LLLLLLLLLLLLLLLOOOOOOOOWWWWLLLAAAZZZZZZZLLJJPPMLMLLMFFFFFFFFMYYYYYYYYYYTTTTTTTTTTTTTTTTTTRRRYYYYYYYYYYYAAAAAAAZZZZZZZTTTTTTTTTTTTLLLLLLLLLLL
+LLLLLLLLLLLWLLLLOOOOOOOOWWBLLLALAAZZZZLLLLJJPPLLLLLMFFFFFFFFFFYYYYYYYYYTTTTTTTTQTTTTTTTTRRRAYYYYYYYYYYAXXXAAAAAAAAZZTTTTTTTTTTTTFFFWLLLLLLLL
+LLLLLLLLLLLLLLLLZOOOOOBBBBBLLLLLZZZZLLLLLIJJPLLLLLLMFFFFFFFFFFYYYYYYYYYYYYTTTTTTWTTTTTTRRRRRYYYYYYYYYYAACCCQQAAAAFCZTTTTTTTTTTTTTFWWLLLLLLLL
+LLLLLLLLLLLLLLLLLSOSSSBBBBBLLLLLLZLLLLILIILLPLLLLLLLFFFFFFFFFFFYYYYYYYYYTTTTTTTWWTTTTTTRRRRRAAAAAAAAAAAACCCCCAAAAFCTTTTTLLLLLLLLWFWWLLLLLLLL
+LLLLLLLLLLVLLLYLSSSSSSSSBBLLLLLLLLLLLLIIIIILLLLLLLCCCCCCCCFFFFFFYYYYYYYYTTTTWTTWWWTTTWTTTRRRRRAAAAAAAAACCCCCCCAAACCCCRTTLLLLLLLLWWWWWLLLLLLL
+LLLLLLLLLLLWLSSSSSSSSSSBBBLLLLLLLLLLLIIIIICCCCCCCCCCCCCCCCFFFFFFFYYYYYYYTTTTTTWWWWWTWWTRRRRRYAAAAAAAAAACCCCCCCCCCCCCCTTTLLLLLLLLWWWWWWLLLLLL
+LLLLLLLLLLLWWWSSSSSSSSBBBBLLLLLLLLLLLIICCCCCCCCCCCCCCCCCCCFFFFFFYYYYYYXYTGTTTTWWWWWWWRTRRRRRRAAAAAAAAAACCCCCCCCCCCCCCCCTLLLLLLLLWWWWWWWLLLLL
+LLLLLLALLLLLWWSSSSSSSSBBBLLLLLLLLLLLLIICCCCCCCCCCCCCCCCCCCPPPFFPYYYYYYXXXGTTTTXWWWWWWRRRRRRRRAAAAAAACCCCCCCCCCCCCCCCMMMMLLLLLLLLWWWWWWLLLLLL
+ALLLLLAAAWWWWSSSSZSSSSSBBLLLLLLLLLLLCCCCCCCCCCCCCCCCCCCCCCFPPPPPPYYYYXXXXXXXXXXXXWWWRRRRRRRRRAAAAAACCCCCCCCCCCCCCCCCCCMMLLLLLLLLWWMMMMVLLLLL
+AAAAAAAAWWWWWWWSZZSSSOOBBLLLLLLLLLLLCCCCCCCCCCCCCCCCCCCCCCPPPPPPPYYYYVXXXXXXXXXXWWRRRRRRRRRAAAAAAAAYYCCCCCCCCCCCCCCCCMMMLLLLLLMMWWMMMMVVVVLL
+AAAAAAAAWWWWWWWWWOSSSZOOBLLLLLLLLLLICCCCCCCCCCCCCCCCCCCCCCPPPPPPPYYYYYXXXXXXXXXXWWRRRRRRRRRRAAAAAAAYYYYCCCCCCCCCCCCCCMWWLLLLLLMMWMMMMMMVVVVV
+AAAAAAAAIWDDWWWWOOSSSOOLLLLLLLLLLLLLCCCCCCCCCCCCCCCCCCCCCCPPPPPPPPPPPXXXXXXXXXXXWWRRRRRRRRAAAAAAAAAAYYYCCCCCCCCCCCCCCHWWLLLLLLMMMMMMMMMVVVVN
+AAAVAAAKBBDDWWWOOOOOOOOOLLLLLLLLLLLUCCCCCCCCCCCCCCCCCCCCCCPPPPPPPPPPXXXXXXXXXXXXWWRRRRRRRRAAAAAAAAAAYYYYYCCCCYYYYOHHHHWMLLLLLLMMMMMMMMMVVVVV
+AAAVAAAKBBIIIOOOOOOOOVVOOVVVZZZLLLUUUUUUUUUUUIIICCCCCCCCCCPPPPPPFPPFFFHXXXXXXXXPAAARRRRAARRAAAAAAAAAYYYYYYYYYYYYYYHHHHWWLLLLLLMMMMMMMVVVVVVV
+AAAVVAAKBBIRIOOOOOOOOOVVVVVVVZLLLLUBUUUUUUUUUIIICCCCCCCCCCPPPPPPFFPFFFXXXXXXXXNAAAABRRAAAAAAAAAAAAAAAYYYYYYYYYYYYYHYYWWMLLLLLLNMMVMVVVVVVVVV
+AAAVVVBBBBRRIOOOOOOOOOVVVVVVVZSSLLLUUUUUUUUUUIIACCCCCCCCCCPPPPPPFFFFFFXXXXUXXNNAAABBRRKKAAAAAAAAAAAAAYSYYYYYYYYYYYYYYWWWLLLLLLNNMVVVVVVVVVVV
+AAAAAVBBBBRRIOOORROOOOOVVVVVVSSLLLUUUUUUUUUUCCCAAAPPPPPPPPPPPPPPPPFFFXXXXXXNNNNAAAAAAKKKKKKAAAAAAAAAAYSSYYYYYYYYYYYYYYWWLLLLLLNVVVVVVVVVVVVV
+AAAAABBPRRRRROGRROOOOOOVVVVJJSSSLLLUUUUUUUUUUCCAAAAPPPPPPPPPPFFFFFFFFXXXXXXXXNNAAAAAAKKKKKKAAAAAAAAAAYSZSYYYYYYYYYYYYYNNNNNNNNVVOOVVVVVVVVVV
+AAAAAPPPRRRRRBRRRROOOOOVVSFSSHSSSSLLUUUUUUUUUUMMMMMPPPPPLIIPPPFFFFFFFXXXXXXXXNNAAAAAKKKKLLAAAAAAAAAAAASSSZYYYYYYYYYYYYNNNNNNNNVVNOVVVVVVVVVV
+AAGGAPPRRRRRRRRRRROOOOOBVSFSSSSSSSLUUUUUUUUUUMMMMMMPPPPMIIIIIINNFFIFXXXXXXXXXNNAAAAAALLLLLGAAAAAAAAAAASSSZSSYYYYYYYYYNNNNNNNNNNNNVVVVVVVVVVV
+AAGGRPRRRRRRRRRRRGOOOOOOOSSSSSSSSSLLUUUUUUUUMMMMMMMPPPMMIIIIIIIIFFIIXXXXXXXXAOAAAAAAALLLLLLLAAAAAAASSSSSSSSSYDYYYYYYYYNNNNNNNNNOOOVVVVVVVVVV
+GGGGRRRRRRRRRRRRRRBBBBOOOSSSSSSSSSSLULUUUUUUUMMMMMMPPPMMMIIIIIIIIIIHOOOOOOOOOOXAAAAAAALLLLLCASADSASSSSSSIISSYDDDDDYYYYNNNNNNNNNOOOOOVVVVVVVV
+GGTTRRURRRRRRRRRRVVBBBAKSSSSSSSSSSLLLLUUUUUMMMMMMMMMPPMMIIIIIIIIIIIIOOOOOOOOOAAAAAAAAAALLLLAASSSSAASSSSSSSSSYDDDDNNMMYYNNNNNNNNNNOOOVVVVVVVV
+OOFTTTRRRRRRRRRRRVVBBBASSSSSSSSSSSSLSLUUUUUMMMMMMMMMMPMIIIIIIIOOOOOOOOOOOOOOOAAAAAAAAALLLLLTASSSSASSSSSSSSSUDDDDDNNNNNNNNNNNNNNNNOOOVOVVVVVV
+OOOTTTRRRRRRRRRRRVVVBBAAASSSSSSSSSSSSLLLUUUMMMMMMMMMMMMIIIIIIIOOOOOOOJJJJJOOOOAAAAALLLLLLLLTSSSSSSSSSSSSSSSUDDDDDDDDNNNNNNNNNNNNNNOOOOOOOVNN
+OOOOTRRRRRRRRRRRRVVVBBAAASSSSSSSSSSSSLLLUUMMMMMMMMMMMMMMMIIIIIOOOOOOOJJJJJOOOOOAAAAIIILLLLTTTTSDSSSSSSSSSSSDDDDDDDDDINDNNNNNONOOOOOOOOOOOVNN
+OOOORRRRRRRRRRRRRRVVAAAAASSSSSSSSSSSLLLLMMMMFMMOOMMMMMMMMIIOOOOOOOOOOJJJJJOOOZOAAAAIIILLLLLLTSSSSSSSSSSSSSSDDDDDDDDDDLNNQNNOOOOOOOOOOOOOOOOO
+OOORRRRRRRRRVVVRRVVVAAAAAAHSSSSSSSSSLLLLLMMMMMMOOOMMMMMMIIIOOOOOOOOOJJJJJJJZZZAAAAIIQLLLLLLLLLSSSSSSSSSSSSSDDDDDDDDLLLNNQQNOOOOOOOOOOOOOOOOO
+OORRRRRVRRRRVVVVVVVAAAAAAAASSSSSSSSSLLLLLLMMMMOOOOOOMMCCIIIOOOOOOOOOOOJJJJJJZAAAAAIQQLLLLLLLLOSSNNSSNNNSSSSDDDDDDDDLLLLNQQNLOOOOOOOOOOOOOOOH
+OORRMMVVRRRRVVVVVVVAAAAAAAASSSSSSSSSLLLLLLLLMLOOOOOOOMCCOIIOOOOOOOOOOOJJJJJZZAAAAAAAQLLLLLLLLOSSONSSNNNSSSSGGDDDDDLLGGGQQQOOOOOOOOOOOOOOOOHH
+RRRMMMMVVVVVVVVVVAAAAAAAAAASSSSKKHHHHKLLLLLLLLOOOOOOOMCCCCIOOOOOOOOOOOJJJJJJAAAAAAAAQQLLLLLLLOOOONNNNRRNONSSGDDDDDLLGGQQQQCOOOOOOOOOOOOOHHHH
+MMMMMMMMVVVVVVVVVVAAAAAAAAAAASSKKHHJJKLLLLLLLLOOOOOOOOCCCCKOOOOOOOOOOOJZZZJJJAAAAAAQQLLLLLLLLLOONNNNNNNNNNGGGDDDDGGGGGQQQCCCCOOOYOOOOOFHHHHH
+SSMMMMMMVVVVVVVVVAAAAAAAAAAASSSKKKHHKKLLLLLLOLOOOOOOOCCCCCCOOOOOOOOOOOZZZZZZFZZZZZZQQLLLLLLLLLOOONNNNNNNNGGGGGGDGGGGGGQQCCCCCOOOOOOOOFFHHHHH
+SMMMMMMMMMMVVVVVAAAAAAAAAAFAAKKKKKHKKKKKLLLOOOOOOOOOAACCCCCOOOOOOOOOJJJZZZZZZZZZZZZZQLLLLLLLLOOOONNNNNNNNGGGGGGDDGGGGGGCCCCCCCZZZOOOOFFFFHHH
+SSSMMMMMMMVVVVVVAAAAAAAAAAFIYIKKKKKKKKKKKKKOOOOOOOOOOACCCCCJJJJJJJJJJJZZZZZZZZZZZZZZLLLLLLLLLOOOONNNNNGGGGGGGGGGGGGGGGGGCCCCCZZHHOOFEFFFFFFF
+VSVVMMMMMMMVVVVVAAIAAIAIIIIIIIIKKKKKKKKKKKSSOOOOOOOOOACCCCJJMJJJJJJJJZZZZZZZZZZZZZZZSSSSSSSULOOOONNNNNGGGGGGGGGGGGGGGGGGCCCCCZHHHHFFFFFFFFVV
+VVVVMMMMMMMVVVVVAVIIIIIIIIIIIIKKKKKKKKKKKKSSOOKKKKOQUACCCJJJJJJJJJJJZZKZZZZZZZZZZZZSSSSSSSSOOOOOGGNNGGGGGGGGGGGGGGGGGGGCCCCHHZHHHHHFFFFFFFFV
+VVMMMMMMVVVVVVVVVVIIIIIIIIIIIKKKKKKKKKKKKKDDDDDKKUOUUUULLJJJJJJJJRRRRZZZZZZZZZZZZZZSSSSSSSSOOOOOGGNNGGGGGGGGGGGGGGGGGGCCCCCHHZHHHHHYHFFFFFFF
+VVVVVVVMVVVVVVVVIIIIIIIIIIIIIKKKKKKKNNKKKDDDDDDKKUOUUUULLLJJJJJJJRRRRRRZZZZZZZZZZZZSSSSSSSSOOOOOOGGGBGGGGGGGGGGGGGGZZGCCCCHHHHHHHHHHHJFFFFFF
+VVVVVVVVVVVVVVVVIIIIIIIIIIIIIIRKKKKKPNNNNNDDDDDDDUUUUUUULLJJJJJJJRRRRRRBRZRZZZUZZZZSSSSSSSSOOOOOOGGGGGGGGGGGGGGGGGGGGGCCCHHHHHHHHHHHHFFFFMFO
+VVVVVVVVVVVVVVVIIIIIIIIIIIIISSSTTKDDDNDDDDDDDDDDDDUUUUUUSLLJJJJJJZZRRRRRRRRRRRUZZZZSSSSSSSSOOOOOOGGGGGGGGGGGGGGGGGGGIGCCCCCCHHHHHHHHHIIFFVVV
+VVVVVVVVVVVPVVIIIIVIIIIIIIISSSSSSSSGDDDDDDDDDDDDDDUUZZZZZZZZJJOJJJRRRRRRRRRRRRUZYZZSSSSSSSSOOOOGGGGGGGGGGGGGFGGGGGGKOCCCCCCCMHHHHHHHHHHNNVVV
+VVVVVVVVVVUUVVUUIIIIIIIIIIISSSSSSSGGDDDDDDDDDDDDDDDUZZZZZZZZJJOOJJJRRRRRRRRRIRUUYYOSSSSSOOOOOOOOGGGGGGGGGGGGGGGGGGGOOOOOCCMCMMHHHHHHHHHHVVVM
+VVVVVVVVVUUUUUUUIIIIIITISSIISSSSSSSSDDDDDDDDDDDDDDDIZZZZZZZZJJOOOJRRRRRRRRRRUUUUYYYSSSSOOOOOOOOGGGGGGGGGGGGGHHHHTGTTOOOOOOMMMMMMHHHHHHHMMVVM
+PVVVVVVVUUUUUUUUIIIIISSSSSSSSSSSSSSSDDDDDDDDDDDDDZZZZZZZZZZZOJOORRRRRRRRRRRUUUUUUUUSSSSOOOOOOOOPPGGGGGGGGGGHHHHHTTTOOOOOOOMMMMMMMHMMHHHMMMMM
+PVXVVVVVVUUUUUUUUIIISSSSSSSSSSSSSSGFFDDDDDDDDDYYDZZZZZZZZSSOOOOOOORRRRRRRJUUUUUUUUOSSSSOOOOOOPPPPGGGGGGGGGGHHHHHTTOOOOOOOOOMMMMMMMMHHHHHHMMM
+PPVVVVVVEUUUUUUFUUFJJFSSSSSSSSSSSSFFFIDDDDDYYDDYYZZZZZZZZSSSXOOOOOORROZRRJJUUUUUUUUSSSSOOOOOOOPPGGGGGGGGGGGGHHHHTTTOOOOOOOOMMMMMMMMHHHHHMMMM
+PPPPVVVVEEEUUUFFFFFFFFSSSSSSSSSSSSFFFFDDDDDRYYYYIZZZZZZZZXXYXXOOOOORROORRQJUUUUUUUUUOOOOOOOPPPPPGGGGGGGGHGHHHHHHTTTOOOOOOOMMMMMMMMMAMUUHHHMM
+PPPPPEVEEEEEEYFFFFFFFFFSSSSSSSSSSSSFFFDDDDDDYYYYYZZZZZZZZXXXXXXOOOOOOOOQQQJUUUUUUUQOOOOTOOOPPPSSSSGGGGGHHGHHHHHHTTTOOOOXXOOMMMMMMMMAMUUUHMMM
+PPEEEEVEDEEEYYFFFFFFFFFSSSSSSSSSSSFFFDDDDDDYYYZZZZZZZZZZZXXXXXXOOOOOOQOQQQJUUUUUUUQQOOOOXOOPPPPSSSGGGGGHHHHHHHHHHHTTOOOXXXXMMMMMMMMMMUUUHMMM
+PPEEEEEEEEYYYYFFFFFFFFFSSSBSSSSSSFFFFFDFDDDYYYZZZZZZZZZZZXXXXXXOOOOOQQQQQQJUUUUUQQQQQQQQOODPPPPSSBBGGGGHHBHBHHHHHTTTTTTXXXMMMMMMMMMMMUUUGGGG
+PPEHEEEEEEEYYYFFFFFFFFBBBBBSSSSSSSFFFFFFDYYYYYZZZZZFXXXXXXXXXXXOOOOOUOQQQQUUUUUUQQDDDQQQQQDDDPPSGBBKBOBBBBBBHHHHHTLTTTTXXXXMMMMMMMFFUUGGGGGG
+PPPEEVEXEEYYYYFFFBBFFBBBBBBBSSSSSFFFFFFFYYYYYYZZZZZFFXAXXXXXXXXXOOOOOOQQQQQURUUUVQDDDDDDJQDPPPPSGGBBBBBBBBRRHHHLLLLLLTTTXXXXXXMMTFFFUGGGGGSS
+PPPEEVEXXXXYYYYFFBTTBBBBBFFBSFSFFFFPPFYYYYYYYYZZZZZFFAAXXXXXXXXXOOOOQQQQQQQQRQQVVVDDDDDDDDDDDPPPBBBBBBBBBBBBHHHHLLLLLTXXXXXXXXXXFFFFFGGGGGGS
+PPPEPXXXXXYYYYYFFFTTBBBBBFFFFFSFFFFPPPGSSSYYYYZZZZZFAAAAXXXXXXWOOOOOQQQQQQQQQQQQVVDDDDDDDDDDDPPPPBBBBBBBBBBNNLLLLLLLLLLXXXXXXGFFFFFFGGGGGGGG
+PPPPPXXXXXYYYYYYTTTTTTCFFFFFFFFFFFPPPZZZZZZZZZZZZZZZZAAAATAXXWWWWWAQQQQQQQQQQQXVVVDDDDDDDDDDDPPPPBBBBBBBBBBLLLLLLLLLLLLXLLXXXGGFFFFFGGGGGGGG
+PPPPPXXXXXXYXXTTTTTTTTFFFFFFFFFFFZZZZZZZZZZZZZZZZZZZZJAAAAAAWWWAWWASQAQQQQQQXXXVVDDDDDDDDDDDDPMBBBLBBBBBBBBLLLLLLLLLLLLLLXXGGGGGGFGGGGGGGGGG
+PPPXXXXXXXXXXXTTTTTTTTFFJFFFFFFFFZZZZZZZZZZZZZZJJZZZZJAAAAAAWWAAAAAAAAQQQQQXXXXVXDDDDDDDDDDDDPMBBLLLLBBBBBLLLLLLLLLLLLLLLLLLGGGGGGGGGGGGGGGG
+PPPXXXXXXXXXXXXTTTTTTTTFFFFFFFFFFZZZZZZZZZZZZZZZZZZZZJAAAAAWWAAAAAAAQQQQQQXXXXXXXYDDDDDDDDDDDMMMMMMMLBBBBBBBLLLLLLLLXXXXXXNNNNNGGGGGGZGGGGGG
+PPPXXXXXXXXXXXXXTTTTTTTFFFFFFFFFFZZZZZZZZZZZZZZZZZZZZJAAAAAZZZAAAAAAJJJQQQQXXXXXYYDDDDDDDDDDDMMMMMMMLLBMBBLLLLLLLXXXXXXXXXNNNNNGGGGGGZGZZNGG
+PPPXXXXXXXXXXXXXXTTTTTTTVVDFFFFFFZZZZZZZZZZZZZZZZZZZZJAAAAZZZELALLAJJJJJQQXXXXXXYXDDDDDDDDDDMMMMMMMMMMYMYYLLLLLLXXXXXXXXXXNNNNPPPPGZZZZZGGGV
+PPPXXXXXXXXXXXXXTTTTTTTDDVDFFFFFFZZZZZZZZZZZZZZJJJJJJJAAZZZZZLLLLLJJJJJYXXXXXXXXXXTDDDDDDDMMMMMMMMMMYYYMYYYZLLLLXXXXXXXXXXNNNNNPPPPZZZZZZZZZ
+PPPPXXXXXRRXXXEXTTTTTDDDDDDXDDMMFFFFGZZZZZZZZZZJJJJJJJJJJJJJZZZZLCJJJLLYYXXXXXXXXXXDDDDDDDMMMMMMMMMMMYYYYYLLLLLLXXXXXKXXXXNNNNNNPPPZZZZZZZZZ
+PPPPXXXXXRXXXXXXTTTTTTDDDDDDDDDMIFZFGZZZZZZZZZZAAGAAZJJJJJJJZZZZLLJJLLLYYYYXXXXXXXQDDDDDDDMMMMMMMMMMMYYYYYYYLLLRXXXXXNXXXXNNNNNNPPPZZZZZZZZZ
+PPPPPXXXXRXVXXTTWTTTDDDDDDDDDDDMIPFFULLLLLLGGGGGGGGAZJJJJJJJZZZZZLLJLLLLYYYXXXXXYYYYYDDDDDMMMMMIIMMMYYYYYYYYZLLRRXXXXNXXXXNNNNNNNNPZZZZZZZZZ
+PPPPPPDXDRXVVDATTTTTDDDDDDDDDDBIIIUUULLHLGGGGGGGGGGZZJJJJJJJZZCLLLLLLLLLYYYYXXYYYYYYYGGGMMMMMMMMIIMYYYYYYYYYZRRRRRZMNNXXXXNNNNNNNNNLZZZZZZZZ
+PPPPPPDDDRDDDDTTTTTTDDDDDDDDDDDIIUUUILLLLLLLGGGGGGGGZJJJJJJJZCCLLLLLLLLLUUUXXXYYYYYYGGGGMMMMMMMMIIMMYYYYYYYZZRRRRZZMMNXXXXNNNNNNNNNNZZZZZZZZ
+PPPPDDDDDDDDDDNNTTTTDDKDDDDDDDIIIUUIILLLLGGLGGGGGGGGZJJJJJJJCCCCLLLLLLLLUUYYYYYYYYYYYGGGGGMGMMMMMMMMYYYYYYYYZRRRZZMMMMXXXXNNNNNNBBNZZZZZZZZZ
+PPPPPDDDDHDDDDDDZZZKKKKDKKDDIIIIIIIIILLLGGGGGGGGGGGGGJJJJJJJCCCLLLLLUULUUUYYYYYYYYYYYGGGGZGGGGMMMMMYYYYYYYZZZZZZZZZMMMXXXXNNNNNNBBNZZZZZZZZZ
+PPPPPDDDDDDDDQDDDZZKKKKDKKKDDIIIIIIIIIILGGGGXGGGGGGGGJJJJJJJCCCCLLLLLUUUUUUYYYYYYYYYYGGGGGGGNGMMMMMYIYBBBZZZZZZZZZZMMMMMMNNNNNNNBBZZZZZZZZZZ
+PPPDDDDDDDDDDQDQZZZZKKKKKKKIIIIIIIIIIUULGXXXXGGGGGGGGJJJJJJJCCCCCLLLLUUUUUUUYYYYYYYYYGGGGGGGGGMMMMMMMYBQQQQZZZZZZZZMMMMNNNNNNNNNBBZZZZZZZZZZ
+PPPPDDDDDDDDZQQQZZZZZKKKKKKIIIIIIIIIIYYYYYXXYGGGGGGXXXXXXXXXXCCCCCLLLUUUUUTUYYYYYYYYYGGGGGGGGGMMMMMMBBBQQQQZZZZZZMMMMMMMNXXNNNBBBBBBZZZFZZZZ
+PPPPDDDDDDDDZQQQZZZZZZZKKKKIIIIIIIIIIYYYXXXYYYYGXXXXXXXXXXXXCCPCCCCCUUUUUUTUYYYYYYYYYYGGGGGGGLMMMMMMBBBQQQQBZZZZZZZMMMSSSSXNNNNBBBBBZQZZZZZZ
+PTTTDDDDDDDDZZZZZZZZZZZZKKKKIIIIIIIIIYYYYYYYYYYXXXXXXXXXXXXPPCPPCCCCCUUUUUUUYYYYYYYYYYGGGGGGGMMMMMMMMBBQQQQBZZZZZZZMSSSSSSSLLBBBBBYYQQQQQZZZ
+PTTTADDDDDZZZZZZZZZZZZZKKKKIIOOIIIIIIYYYYYYYYYYYZXXXXXXXXXPPPPPCCCCCCCUUUUUYYYYYYYYYYYGGGGGGGMMMMUMUMKKQQQQZZZZZZHHSSSSSLLLLLBBBBYYQQQQQQQZZ
+TTTTAADTDDDZZZZZZZZZZZZKKKKIIIIIIIIIIIYYYYYYYYZZZZZXXXXXXPPPPPPPPCCCCCUUUUUUYYYYYYYYYMMGGGGGGMMMUUUUUUKQQQQZZBZZZZSSSSSSSLLLLLBYYYYYYQQQQQQQ
+TTTTTATTTTDDZZZZZZZZZKKKKKKIIIIIIIIIIIIYYYYYYYYYZZXXXXXXXPPPPPPPPPCUUUUUAUUYYYYYYYEEEGGGGGGTMMMMVVUUUBBQQQQNNZZZZNSSSSSLLLLLLLBLLYYYYYQQQQQQ
+TTTTTTTTTTZZZZZZZTZZKKKKKIIIIIIIIIIIIGIGYYYYYYYYZZXXXXXXXXPPPPPPPPCCCUUUAUUYYYYYYEEEEEEESGGTTTMUUUUUUBBQQQQNNNZNNNSSSSSSSLLLLLLLLYYYYYQQQQQQ
+TTTTTTTTTTVVZZZZZZZZZZZKKAAAIAAIIIIGGGGGYYYYYYYYZYYYXXXXXXPPPPPPPPCCCUUUAAAYYYYYYEEEEEEEEGEEEEMMUUUUUUUXXBKKKINNNNSSSSSSSLLLLLLLLLYYYYYLQQQQ
+TTTTTTTTTTTTPZZZZZZZZKKKAAAAAAAIIGGGGGGGGYYYYYYYYYYYXXXXXXPPPPPPPPPCCUUAAAAYYYYEEEEEEEEEEEEEEEMMUUUUUUUXXBIIIIIIIISSSSSSSLLLLLLLYLYYYYYLLLLQ
+TTTTTTTTTTTTTLLZZZNAAAALLAAAAAGIGGGGGGGGGYYYYYYYNYXXXXXXXPPPPPPPPPPPPPIIAAAAAYYEEEEEEEELEEEQEMMQUUUUUUUUIIIIIIIIIIISSSSSSLLLLLLLYYYYYYYLLLQQ
+TTTTTTTTTTTTLLZZLLAAAAQQLCAAAAGGGGGGGGGOGYYYYYYYXXXXXXXXXPPPPPPPPPKKIIIAAAAAAAEEEEEEEEEEEEQQQQMQQUUUUUUIIIIIIIIIIIISSSSSSSLLLLLYYYYYYYYLLLLQ
+TTTTTTTTTTTTLLLLLLLLAAQLLLALAAAGGGGGGGGGGYYYYYYYXXXXXXXXXPPPPPPPPPPPIIIAAAAAAAAEEEEEEEEVVVQQQQQQQQUUUVVIIIIIIIIIIIISSSSSSSLLYYYYYYYYYYYLLLQQ
+TTTTTTTTTTTTLLLLLLLVAAVVLLLLGGGGGGGGGEGGGYYYYYRYYXRRXXXXXPPPPPPPPPPPPIIIIAAAAAAAEEEEEEEVVQQQQQQQQQQUVVVVVIIIIIIIPIISSSSSSSLYYYYYYYYYYYYYYYQQ
+TTTTTTTTTTTTLLLLLLLVVVVVLLLLLGGGGGGGGEYYYYYYYYRYRRRRXXXXXPPPPPPPPIIIIIIAAAAAAAAAEEEEEEEQQQQQQQQQQQQUVVVVVIIIIIIIIIGSSSSSSSSYVVYYYYYYYYYYYQQQ
+TTTTTTTTTTTTTLLLLLLLVVLLLLLLGGGGFGGGGGGYYYYYYYRYRRRRXXRRPPPPPPPIIIIIIIIIIIAAAAAAAAAEEEEQQQQQQQQQQQUUVFFFIIIIIIIIYYGGSSSSSSSSVYYYYYYYYYYQQQQQ
+TTTTTTTTTMTLLLLLLLLLLVLLLLLLGSSGGGGSSSYYYYYYYRRRRRRRRRRRRRPPPPPIIIIIIIIIIIIAAAAAAAAEHEEQQQQQQQQQQQQQVVFFIIIIIIIYYYGGGVVSVSVVVYYYYYYYQQQQQQQQ
+TTTTTTTTLLLLLLLLLLLLLLLLLLLLGSSSGTGSSYYYYYYYYYRRRRRRRRRRRRRPRRIIIIIIIIIIIAAAAAAAAAAEHEEQQQQQQQQQQQQQQFFFFIIIIIIIIYYGGGVVVVVVVYYYWYYYQQQQQQQQ
--- a/2024/d12/ex2/ex2.py
+++ b/2024/d12/ex2/ex2.py
@ -0,0 +1,90 @@
+#!/usr/bin/env python
+
+import sys
+from collections.abc import Iterator
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+    def neighbours(self) -> Iterator["Point"]:
+        for dx, dy in (
+            (-1, 0),
+            (1, 0),
+            (0, -1),
+            (0, 1),
+        ):
+            yield Point(self.x + dx, self.y + dy)
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> dict[Point, str]:
+        return {
+            Point(x, y): c for x, line in enumerate(input) for y, c in enumerate(line)
+        }
+
+    def find_plots(garden: dict[Point, str]) -> list[set[Point]]:
+        res: list[set[Point]] = []
+        visited: set[Point] = set()
+
+        for p, plant in garden.items():
+            if p in visited:
+                continue
+            plot: set[Point] = set()
+            to_visit = {p}
+            while to_visit:
+                p = to_visit.pop()
+                visited.add(p)
+                plot.add(p)
+                assert garden[p] == plant  # Sanity check
+                for n in p.neighbours():
+                    if garden.get(n) != plant:
+                        continue
+                    if n in visited:
+                        continue
+                    to_visit.add(n)
+            res.append(plot)
+        return res
+
+    def count_corners(plot: set[Point]) -> int:
+        def corners(p: Point) -> int:
+            res = 0
+            for dx, dy in (
+                (-1, -1),
+                (1, 1),
+                (-1, 1),
+                (1, -1),
+            ):
+                diag = Point(p.x + dx, p.y + dy)
+                vert = Point(p.x + dx, p.y)
+                hori = Point(p.x, p.y + dy)
+                # Both sides are out: an outside corner
+                if vert not in plot and hori not in plot:
+                    res += 1
+                # Both sides are in, diagonal is out: an inside corner
+                if vert in plot and hori in plot and diag not in plot:
+                    res += 1
+            return res
+
+        return sum(corners(p) for p in plot)
+
+    def fence_price(plot: set[Point]) -> int:
+        area = len(plot)
+        # Number of sides is equal to number of corners
+        sides = count_corners(plot)
+        return area * sides
+
+    garden = parse(input.splitlines())
+    plots = find_plots(garden)
+    return sum(map(fence_price, plots))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d12/ex2/input
+++ b/2024/d12/ex2/input
@ -0,0 +1,140 @@
+TTTTTTTTTTTTTTDDDDDDDDDDDDAAAKKKKKKKKKKKKKKKKKKKKKKKRRRRRRRRRRRRRXXXXXXXXXXZFFFFFFFFFFOFVVVVVVQQQQQUQQQQQQQQQQQQQQQQQCCGGNNNNHHHHHHHHHHHHHHH
+TTTTTTTTTTTTTTDDDDDDDDDDDDAAAAAAKKKKKFKKKKKKKKKKKKKKRRRRRRRRRRRXXXXXXXXXXXXZFFFFFFFFFFFFFFFVMMQQQQQQQQQQQQQQQQQQQQQQQGGGGNNNNHHHHHHHHHHHHHHH
+TTTTTTTTTTTTDDDDDDDDDDDUAAAAAAAAAKKFFFKKKKKKKKKKKKKKRRRRRRRRRRXXXXXXXXMXMMFFFFFFFFFFFFFFFMMMMMNQQQQQQQQQQQQQQQQQQQQQZZGGNNNNHHHHHHHHHHHHHHHH
+TTTTTTTBTTTTDDDDDDDDDDUUUAAAAAAAKKKKFFKKKKKKKKKVLLLLLRRRRRRRRRXXXXXXXMMMMMFMMMMFFFFFFFFFXMMHMMNQQQQQQQIQQQQQQQQQQQQQQQGGNNNNVVVHHHHHHHHHHHHH
+TTTTBTBBTTTTDDDDDDDDDDUUUAAAAAAAKKKFFKKKKKKKKKNLLLLLLRRRRRRRRRXXXXXXXMMMMMMMMMFFFFFFFFHXXXMHHNNQQQQQQQIIIQQQQQQQQQQQQQGGVVVVVOHHHHHRRRHRHHHD
+TBBBBBBBTTTTDDDDDDDDUDUUUAAAFAAAKKKFFKFFFKKKKKKWWLLLLRRRRRROOOOOXBMMMMMMMMMMEFFMFFFFHHHHXMMHHHHQQQQQQQQIIQQQQQQQQQQQGGGGGVVVVVVZHHXRRRRRHDHD
+BBBBBBBBBTTTDDDDDDDUUUUUUGUFFFFKKKKKKFFFKKKKKKKWLLLLLLRRRROOOEOOOMMMMMMMMMMMMMUMMFFFFFHHHHHHHHHQQQQQIIIIIIQQIQQIIQQQUGGGGVVZVZZZZZRRRRRRDDHH
+BBBBBBBBTTTTDDDDDDXUUUUUUUUFFFFKKKKKKFIFKKKKKKKKLLLLLLRRLLOOOOOOOOMMMMMMMMMMMMMMFFFFFFHHHHHHHHHHHZZIIIIIIIQIIQQIIQQQGGGGGGGZZZZZZZRRRRMMHHHH
+BBBBBBBBTTTTDDXXXXXUUUUXUUFFFKKKKKKKKFEEKKKKKKKKKFLLLLLLLOOOOOOOOOMMMMMMMMMMMMMMFFFFFFFHHHHHHHHHHIIIIIIIIIIIIIIIINQQGGGGGGGZGZZZZZRRRRRRHHHH
+BBBBBBBBBBDDDDXXXXUUUUUUSFFFFKKKKKKEEEEEEKKKKKKKKFKKKLLLLLTOOOOOOOOOMMMMMMMMSWSFFFFFFFFHIIIIHHHHHMMIWIIIIIIIIIIGGGGGGGGGGGGGGGZZZZRRRRRRNHHH
+BBBBBBBBBBBDXDXXXXXXOOOOOOOOOOKKKKEEEEEKKKKKKKKKKKKKKLLLLLOOOOOOOOOOOOMMMMMMSSSSSFFFFFHIIIIIHHHHHIIIIIIIIIIIIIWGGGGGGGGGGGZGGZZZZZZRRNNNNHHN
+BBBBBBBBBBBDXXXXXXXGOOOOOOOOOOXKKKKEEEEEKKBKKKNKKKKKKKKLLLLOOOOOOOOOOOMMLLMMSSSSSSFFFFHIIIIIHHHHHIIIIIIIIIIIIIIIGGGGGGGGGGZZZZZZZZZRRRRRNHHN
+BBBBBBBBBBBBXXXXXXXXOOOOOOOOOOKKKKKKXEEEEEENKNNNKKLLKKKKLLLLLOOOOLOOLLLLLLLSSSSSSSFFFHHIIIIIHBHHHIIIIIIIIIIIIIIGGGGGGGGGGGZZZZZZZZZRZRRNNNNN
+BBBBBBBBBBBBBXXXXXXXOOOOOOOOOOXKXKKKKEEEEEENNNNNNLLLLKKKLLLLLOOOLLLLLLLLLLLSSSSSSSFFFFFIIIHBBBHHHIIIIIIIIIIIICCGGGGGGGGGGGZZZZZZZZZZZRRNNNNN
+BBBBBBBBBBBBCXXXXOOOOOOOOOOOOOXKXKKKKESSSSSSNNNLLLLLLKOOLLLLLOLLLLLLLLLLLAAASSSSSSSFFFFIIIBBBBBBIIIBIIIIIIIICCCGMGGGGGGGGZZZZZZZZZZZNNRNNNNN
+BBBBBBJBBBBXXXXXXOOOOOOOOOOOOOXXXKKKXESSSSSSSSSSSLLLLLLOOLOLLLLLLLLLLLAAAAAASSSSSSSFFFFIIIVBBBBBBIBBBIIIIIIIICGGGGGGGGGGGZZZZZZZZZZZNNNNNNNN
+BBBBBBBBBBXXXXXXXOOOOOOOOOOOOOXXXXNKXXSSSSSSSSSSSLLLLLOOOOOLLLLLLLLLLAAAAAAASSSSSSSSZFFFBBBBBBBBBBBBBBIIIIIIICCXXXGGGGGGGGGIZZZZZZZNNNNNNNNN
+FBBAABABBBFXXXXOOOOOOOOOOOOOOOXXXXNKXSSSSSSSSSSSSLLLLLLOOOOLLLLLLLLLEWAAAAAASSSSSSDDZFFFBBBBBBBBBBBBBBBIIIIICCCCCXGGGGGGGIIIZIIIZNZNNNNNNNNN
+FBBAAAAAAAXXXXXOOOOOOOOGGGVVVXXXXXXXXSSSSSSSSSSSSLLLLLLOOOOOOLOOOLLLEEEEAAASSSESSSDDZFFFBBBBBBBBBBBBBBBIBBIIIIIIIIXGXXGGIIIIIIIIINNNNNNNNNNI
+FBFAAAAAAAAAXXXOOOOOOOOGGGVVVXXXXXXXXSSSSSSSSSSSSLLLLLLOOOOOOOOOOLLEEEEAAAATSSSSDDDZZFZZSSSBBBBBBBBBBBBBBBIIIIIIIIXXXXIIIIIIIIIIINNNNNNNNNNI
+FFFFGAAAAAAAXLXOOOOOOOOGGGVVVXXXXXXXXSSSSSSSSSSSSLLLLLOOOOOOOOOOLLLEEEEAAAAASDDDDDZZZZZSSTTBBBBBOOBBBBBBBBIIIIIIIIXXIIIIIIIIIIIIIINNNNNNNNII
+FFGGGAAAAAAAXAAOOOOOOOOGGGGVVXXXXXXXXSSSSSSSNNNNLLLLLOOOOOOOOOOOLLLLEEELXDADDDDDDDZZZZZSZZTBBBBBOOOBBBBBBBIIIIIIIIXXXIIIIIIIIIIINNNNNNNNNNII
+FFFGGGGAAAAAAAAOOOOOOOOGVVGVVVVXXXXXXSSSSSSSNNLLLLBLLOOOOOOOOOOOLLLEEXXXXDDDDDDDDDZZZZZZZTTTTBBOOOBBBBBBBIIIIIIIIIXXIIIIIIIIIIINNNNNVNNVNNNI
+FFGGGPGALAAAOOOOOOOOOOOGVVVVVVVVXXXXXSSSSSSSNDDLLLLLLOOOOOOOOOOOOLLEEXXXXXDDDDDDDZZZZZZZZTTTBBOOOOOOBBBIIIIIIIIIIIIIIIIIIIIIIINNNNVVVVNVFNII
+GGGGGPGGLLAAOOOOOOOOOOOVVVVVVVXXXXXXXXXXDDDDDDDDLDDOOOOOOOOOOOOOTXXXXXXXXXXDDDDDZZZZZZZZZTTTTBBIOOOOBBBIIIIIIIIIIIXXXIIIIIIIINNNVVVVVVVVFJII
+GGGGGGGGGGGIOOOOOOOOOOOEVVVVVVXXXXXXXXXXDDDDDDDWWWWOOOOOMOOOOOOOXXXVXXXXXXXXDDDDZZZZZZZZZZTTTTLIIIIOOOOIIIIIIIIIIIXXXXIIIIIIINNNNVVVVVVVJJJI
+GGGGGGGGGGGIOOOOOOOOOOEEEEVVVVVXXXXXXXXXDDDDDDDWWWWWWWWWWOOHHOOXXXXXXXXXXXXDDDDDZZZZZZZZZZZZZZLIIIIIIIOIIIIIIIIIIIXXXXIIIIIIINNNNVVVVVVVJJJJ
+GGGGGGGGSGSMOOOOOOOOOOEEEVVVVVVVXXBXXDXDDDDDDDDWWWWWWWWWWHHHHOKGGGXXXXXXXXXDDDDDZZZZZZZZZNNNNIIIIIIIIOOIIIIIIIIIIXXXXIIIIIIINNNNNNNVVVVVVJJJ
+GGGGGGGWWWWWWWOOOOOOOOLLLLVVVSVVXXBBDDDDDDDDDDDWWWWWWWWWWHHHHGGGGGXXXXXXXXDDDDDVCZZZZZZZNNNNNIIIIIIIIIIIIIIIIIIIIXXXXIIIIIIIINNNNNTVVVVJVJJJ
+GGGGGGGWWWWWWWOOOOOOOOLLLLLLSSSXXXBDDDDDDDDDDDDWWWWWWWWWWHHHHGGGGGGXXXXXXXXDDDVVCCCZZZZIIIINNIIIIIIIIIIIIIHHHHXHHXXXXIIIIIINNNNNNNNLLLLJJJJJ
+GGGGGGGWWWWWWWOOOOOOOOLLLLLLSSSSSDDDDDDDDDDDDDDWWWWWWWWWWHHHHGNNGGGGGXXXXXXVVVYVVCVZZZIIIIINIIIIIIIIIIIIIIHHHHHHHXXXXIIJIIINNNNNNNNNLLLJJJJJ
+GGGGGGGWWWWWWWOOOOOOOOLLLLLLSSSSDDDDDDDDDPPDDDDWWWWWWWWWWHHHGGGGGGGGGXXXXXXVXVVVVVVVFZZIIIIIIIIIIIIIIIIIIIHHHHHHHXXXGGIIYNNNNNNNNNNQLLLJJJJJ
+GGGGGGGWWWWWWWOOOOOOOOLLLLLLSSSSSSSDSSSDDDPDDDDWWWWTHHTHHHHHHGYGGGGGGSXXXXXXXVVVVVVVFIIIIIIIIIIIIIIIIIIIIIHHHHHHHXXXGGYYYNNNNNYNNNNLLLLLLJJJ
+GGGGGGTWWWWWWWSOOOOOOOLLLLLVVSSVSSSDSSDDDDDDDDDWWWWTTHTTHHHHHGYGHGGGGGXXXXXXVVVVVVFFFIFFFIIIIIIIIIIIIIBHHHHHHHHHHHHGGGGYYNYYYYYNLLLLLLLLLJJJ
+GBBBBBBWWWWWWWSOOOOOOOLLLLVVVVVVVSSSSSSSDDDMDDDDDDDTTTTTHHHHHGYGHHHHGHHHSXXXXVVXXVFFFFFFFIIIIIIIIIIMIBBBBHHHHHHHHHHGGGYYYYYYYYYYLLLLLLLLLJJJ
+WBBBBBBWWWWWWWSSSSLLLLLLLLLVVVVVVVSSSSSDDDDMMMDDDDDTTTTTTTTTHGGGGHHHHHHSSSSXXVVVXXXFFFFFFFIIIIIIIIIIIBZZBBHHHHHHHHHGGGYYYYYYYYYXLLLLLLLLLLJJ
+GBBBBBBWWWWWWWSSSLLLLLLLLLLVVVVVVVSSSSSDDDDDMMMMMMTTTTTTTZZHHZZHHHHHHHSSSGSXXXXXXXFFFFFFIIIIIIIIZIZZZZZZBHHHHHHHHHGGGGGGYYYYYYYXXLLLLLLLLJJJ
+GBBBBBBBBJJJJJSSSSSLLLLLLLLVVVVVVVVVSSSDSSSMMMMMTTTTTTTTTTZZZZZZHHHHSSSSSSSSSSSSXFFFFFFFFIIIIIIZZZZZZZZZBHHTTTHHHGGGGGGGYYYYXXXXXXXLLLLLJJJJ
+LBBBBBBBBJJJJSSSSSSSHLLLLLLOOVVVVVVVVVSSSSSMMMMMMMTTTTTTTTZZZZZZZZZSSSSSSSSSSSSSFFFFFFFFFIIIZIZZZZZZZZZZZZTTTHHHHGGGGGGGGYYXXXXXXXXXLLJLJJJJ
+VBBBBBBBBJJJSSSSSSSSWLBLLLOOOVVVVVVVOZZSZSMMWMMMMTTTTTTTTTZZZZZZZZZCSSSSSSSSSSJJJJJFFFFFFFFZZZZZZZYYYYYYYYYYTTHGGGGGGGGGYYXXXXXXXXXXXLJJJJJJ
+VBBBBBBBBJJSSSSSSSSSWWLLLLOOOOVVVVVOOZZZZMVMMMMMMTTTTTTTTZZZZZZZZZZZSSSSSSSSSSSSSJFFFFFFFFLLNZZZZZYYYYYYYYYYTTGGGGGGGGGGYYYXXXXXXXXXXLJJJJJJ
+VBBBBBBBBJSSSSSSSSSSWLLLLLLOOOOOOOOOOZZZZMMMMMMMMMTTTTTTTYZZZZZZZZZZZZSSSSSSSSSSSFFFFFFFFFLLZZZZZZYYYYYYYYYYTTGGGGGGGGGGYYYXXXXXXXXXXJJJJJJJ
+VJJJJBBBBJLSSSSSSSSWWWLLWLOOOOOOOOLOZZZZZZMMMMMMMVTTTTTTTZZZZZZZZZZZSSSSSSSSSSSSSSFFFFFLLLLLZZZZZZYYYYYYYYYYTTTFFGGGFGGQQQYXCCXXXXXXXXJJJJJJ
+VVVJJBBBBLLLSSSSSSSWWWWWWWWOOOWWOLLLZZZZZZNNMMMMQTTTTTTTMMMMZZZZZZEZZSSSSSSSSSSSSLFLLFFLLLLLLZZZZKYYYYYYYYYYTFFFFGFFFGQQYYYPKCKXXXXVJJJJJJJJ
+VVVJJBBBBLLLLSSSSSSWWWWWWWWWOWWWLLLLLLZZZZZNNMMQQTTTTTTMMMMMZZZZZZESSSSSSSSSSSLSSLLLFFFLLLLLLLLLZLYYYYYYYYYYFFFFFFFFFQQQYYYPKKKKKBBJJLJJJJJJ
+BBBBJPPJLLLLLSQQLWSWWWWWWWWWOWWWLLLLLLZZZNNNNMMMTTTTTTMMMMMZZYZYYYESSSKKKSSSSLLLLLLLFLLLLLLLLLLLLLYYYYYYYYYYTFFFFFFFFQQQPPPPPKKKKBBLILJJLJJJ
+LLLLLPPJFLLLLLLLLWWWWWWWWWWWWWWWLLLLLLLLLMNMMMMTTTTTTMMMMMMMHYYYYYYYSSKKKSSSSSSSLLLLLLLLLLLLLLLLLLYYYYYYYYYYTFFFFFTTTQQTPPPXPKTKKBBLLLLLLLLJ
+LLLLLLLFFFLLLLLLLWWWWWWWWWWWAAAAZZZLLLLLMMMMMMMMMMTTTTMMMMMMMMMYYYYYYYKKKSSSSSSSLLLLLLLTTTLLYYYYYYYYYYYYYYYYFFFFFFFTQQQTPPXXTKTKPLLLLLLLLLLL
+LLLLLLLFFLLLLLLLLLWWWWWWWWWWAAAAZZZZZLLLMMMMMMMMMMMMMMMMMMMMMMYYYYYYYYYKTTTTTSSTTTTLLTLLTLLLYYYYYYYYYYYTTAAAAAFFFFZTTQTTXXXXTTTTTLLLLLLLLLLL
+LLLLLLLLLLLLLLLLLLBOOOWWWWWWAAAAZZZZZLZLLMMMMMMMMMMMMMMMMMMMMMYYYYYYYYYKKTTTTTTTTTLLTTTTTTRRYYYYYYYYYYYTTAAAAAZZZZZTTQTTTXXTTTTTTTLLLLLLLLLL
+LLLLLLLLLLLLLLLLLLOOOOWWWWWWWWAZZZZZZZZZLLJPPMMMMMMMMMFFFFFMMYYYYYYYYYTTTTTTTTTTTLLTTTTTTTTRYYYYYYYYYYYOOOAAAAAZZZZZTTTTTTTTTTTTTTLLLLLLLLLL
+LLLLLLLLLLLLLLLLOLOOOOOWWWWWWAAZZZZZZZZZLJJPPPMLMMMMMMFCFFFMMYYYYYYYYTTTTTTTTTTTTTLLTTTTTTRRYYYYYYYYYYYOOAAAAAZZZZZZTTTTTTTTTTTTULLLLLLLLLLL
+LLLLLLLLLLLLLLLOOOOOOOOWWWWLLLAAAZZZZZZZLLJJPPMLMLLMFFFFFFFFMYYYYYYYYYYTTTTTTTTTTTTTTTTTTRRRYYYYYYYYYYYAAAAAAAZZZZZZZTTTTTTTTTTTTLLLLLLLLLLL
+LLLLLLLLLLLWLLLLOOOOOOOOWWBLLLALAAZZZZLLLLJJPPLLLLLMFFFFFFFFFFYYYYYYYYYTTTTTTTTQTTTTTTTTRRRAYYYYYYYYYYAXXXAAAAAAAAZZTTTTTTTTTTTTFFFWLLLLLLLL
+LLLLLLLLLLLLLLLLZOOOOOBBBBBLLLLLZZZZLLLLLIJJPLLLLLLMFFFFFFFFFFYYYYYYYYYYYYTTTTTTWTTTTTTRRRRRYYYYYYYYYYAACCCQQAAAAFCZTTTTTTTTTTTTTFWWLLLLLLLL
+LLLLLLLLLLLLLLLLLSOSSSBBBBBLLLLLLZLLLLILIILLPLLLLLLLFFFFFFFFFFFYYYYYYYYYTTTTTTTWWTTTTTTRRRRRAAAAAAAAAAAACCCCCAAAAFCTTTTTLLLLLLLLWFWWLLLLLLLL
+LLLLLLLLLLVLLLYLSSSSSSSSBBLLLLLLLLLLLLIIIIILLLLLLLCCCCCCCCFFFFFFYYYYYYYYTTTTWTTWWWTTTWTTTRRRRRAAAAAAAAACCCCCCCAAACCCCRTTLLLLLLLLWWWWWLLLLLLL
+LLLLLLLLLLLWLSSSSSSSSSSBBBLLLLLLLLLLLIIIIICCCCCCCCCCCCCCCCFFFFFFFYYYYYYYTTTTTTWWWWWTWWTRRRRRYAAAAAAAAAACCCCCCCCCCCCCCTTTLLLLLLLLWWWWWWLLLLLL
+LLLLLLLLLLLWWWSSSSSSSSBBBBLLLLLLLLLLLIICCCCCCCCCCCCCCCCCCCFFFFFFYYYYYYXYTGTTTTWWWWWWWRTRRRRRRAAAAAAAAAACCCCCCCCCCCCCCCCTLLLLLLLLWWWWWWWLLLLL
+LLLLLLALLLLLWWSSSSSSSSBBBLLLLLLLLLLLLIICCCCCCCCCCCCCCCCCCCPPPFFPYYYYYYXXXGTTTTXWWWWWWRRRRRRRRAAAAAAACCCCCCCCCCCCCCCCMMMMLLLLLLLLWWWWWWLLLLLL
+ALLLLLAAAWWWWSSSSZSSSSSBBLLLLLLLLLLLCCCCCCCCCCCCCCCCCCCCCCFPPPPPPYYYYXXXXXXXXXXXXWWWRRRRRRRRRAAAAAACCCCCCCCCCCCCCCCCCCMMLLLLLLLLWWMMMMVLLLLL
+AAAAAAAAWWWWWWWSZZSSSOOBBLLLLLLLLLLLCCCCCCCCCCCCCCCCCCCCCCPPPPPPPYYYYVXXXXXXXXXXWWRRRRRRRRRAAAAAAAAYYCCCCCCCCCCCCCCCCMMMLLLLLLMMWWMMMMVVVVLL
+AAAAAAAAWWWWWWWWWOSSSZOOBLLLLLLLLLLICCCCCCCCCCCCCCCCCCCCCCPPPPPPPYYYYYXXXXXXXXXXWWRRRRRRRRRRAAAAAAAYYYYCCCCCCCCCCCCCCMWWLLLLLLMMWMMMMMMVVVVV
+AAAAAAAAIWDDWWWWOOSSSOOLLLLLLLLLLLLLCCCCCCCCCCCCCCCCCCCCCCPPPPPPPPPPPXXXXXXXXXXXWWRRRRRRRRAAAAAAAAAAYYYCCCCCCCCCCCCCCHWWLLLLLLMMMMMMMMMVVVVN
+AAAVAAAKBBDDWWWOOOOOOOOOLLLLLLLLLLLUCCCCCCCCCCCCCCCCCCCCCCPPPPPPPPPPXXXXXXXXXXXXWWRRRRRRRRAAAAAAAAAAYYYYYCCCCYYYYOHHHHWMLLLLLLMMMMMMMMMVVVVV
+AAAVAAAKBBIIIOOOOOOOOVVOOVVVZZZLLLUUUUUUUUUUUIIICCCCCCCCCCPPPPPPFPPFFFHXXXXXXXXPAAARRRRAARRAAAAAAAAAYYYYYYYYYYYYYYHHHHWWLLLLLLMMMMMMMVVVVVVV
+AAAVVAAKBBIRIOOOOOOOOOVVVVVVVZLLLLUBUUUUUUUUUIIICCCCCCCCCCPPPPPPFFPFFFXXXXXXXXNAAAABRRAAAAAAAAAAAAAAAYYYYYYYYYYYYYHYYWWMLLLLLLNMMVMVVVVVVVVV
+AAAVVVBBBBRRIOOOOOOOOOVVVVVVVZSSLLLUUUUUUUUUUIIACCCCCCCCCCPPPPPPFFFFFFXXXXUXXNNAAABBRRKKAAAAAAAAAAAAAYSYYYYYYYYYYYYYYWWWLLLLLLNNMVVVVVVVVVVV
+AAAAAVBBBBRRIOOORROOOOOVVVVVVSSLLLUUUUUUUUUUCCCAAAPPPPPPPPPPPPPPPPFFFXXXXXXNNNNAAAAAAKKKKKKAAAAAAAAAAYSSYYYYYYYYYYYYYYWWLLLLLLNVVVVVVVVVVVVV
+AAAAABBPRRRRROGRROOOOOOVVVVJJSSSLLLUUUUUUUUUUCCAAAAPPPPPPPPPPFFFFFFFFXXXXXXXXNNAAAAAAKKKKKKAAAAAAAAAAYSZSYYYYYYYYYYYYYNNNNNNNNVVOOVVVVVVVVVV
+AAAAAPPPRRRRRBRRRROOOOOVVSFSSHSSSSLLUUUUUUUUUUMMMMMPPPPPLIIPPPFFFFFFFXXXXXXXXNNAAAAAKKKKLLAAAAAAAAAAAASSSZYYYYYYYYYYYYNNNNNNNNVVNOVVVVVVVVVV
+AAGGAPPRRRRRRRRRRROOOOOBVSFSSSSSSSLUUUUUUUUUUMMMMMMPPPPMIIIIIINNFFIFXXXXXXXXXNNAAAAAALLLLLGAAAAAAAAAAASSSZSSYYYYYYYYYNNNNNNNNNNNNVVVVVVVVVVV
+AAGGRPRRRRRRRRRRRGOOOOOOOSSSSSSSSSLLUUUUUUUUMMMMMMMPPPMMIIIIIIIIFFIIXXXXXXXXAOAAAAAAALLLLLLLAAAAAAASSSSSSSSSYDYYYYYYYYNNNNNNNNNOOOVVVVVVVVVV
+GGGGRRRRRRRRRRRRRRBBBBOOOSSSSSSSSSSLULUUUUUUUMMMMMMPPPMMMIIIIIIIIIIHOOOOOOOOOOXAAAAAAALLLLLCASADSASSSSSSIISSYDDDDDYYYYNNNNNNNNNOOOOOVVVVVVVV
+GGTTRRURRRRRRRRRRVVBBBAKSSSSSSSSSSLLLLUUUUUMMMMMMMMMPPMMIIIIIIIIIIIIOOOOOOOOOAAAAAAAAAALLLLAASSSSAASSSSSSSSSYDDDDNNMMYYNNNNNNNNNNOOOVVVVVVVV
+OOFTTTRRRRRRRRRRRVVBBBASSSSSSSSSSSSLSLUUUUUMMMMMMMMMMPMIIIIIIIOOOOOOOOOOOOOOOAAAAAAAAALLLLLTASSSSASSSSSSSSSUDDDDDNNNNNNNNNNNNNNNNOOOVOVVVVVV
+OOOTTTRRRRRRRRRRRVVVBBAAASSSSSSSSSSSSLLLUUUMMMMMMMMMMMMIIIIIIIOOOOOOOJJJJJOOOOAAAAALLLLLLLLTSSSSSSSSSSSSSSSUDDDDDDDDNNNNNNNNNNNNNNOOOOOOOVNN
+OOOOTRRRRRRRRRRRRVVVBBAAASSSSSSSSSSSSLLLUUMMMMMMMMMMMMMMMIIIIIOOOOOOOJJJJJOOOOOAAAAIIILLLLTTTTSDSSSSSSSSSSSDDDDDDDDDINDNNNNNONOOOOOOOOOOOVNN
+OOOORRRRRRRRRRRRRRVVAAAAASSSSSSSSSSSLLLLMMMMFMMOOMMMMMMMMIIOOOOOOOOOOJJJJJOOOZOAAAAIIILLLLLLTSSSSSSSSSSSSSSDDDDDDDDDDLNNQNNOOOOOOOOOOOOOOOOO
+OOORRRRRRRRRVVVRRVVVAAAAAAHSSSSSSSSSLLLLLMMMMMMOOOMMMMMMIIIOOOOOOOOOJJJJJJJZZZAAAAIIQLLLLLLLLLSSSSSSSSSSSSSDDDDDDDDLLLNNQQNOOOOOOOOOOOOOOOOO
+OORRRRRVRRRRVVVVVVVAAAAAAAASSSSSSSSSLLLLLLMMMMOOOOOOMMCCIIIOOOOOOOOOOOJJJJJJZAAAAAIQQLLLLLLLLOSSNNSSNNNSSSSDDDDDDDDLLLLNQQNLOOOOOOOOOOOOOOOH
+OORRMMVVRRRRVVVVVVVAAAAAAAASSSSSSSSSLLLLLLLLMLOOOOOOOMCCOIIOOOOOOOOOOOJJJJJZZAAAAAAAQLLLLLLLLOSSONSSNNNSSSSGGDDDDDLLGGGQQQOOOOOOOOOOOOOOOOHH
+RRRMMMMVVVVVVVVVVAAAAAAAAAASSSSKKHHHHKLLLLLLLLOOOOOOOMCCCCIOOOOOOOOOOOJJJJJJAAAAAAAAQQLLLLLLLOOOONNNNRRNONSSGDDDDDLLGGQQQQCOOOOOOOOOOOOOHHHH
+MMMMMMMMVVVVVVVVVVAAAAAAAAAAASSKKHHJJKLLLLLLLLOOOOOOOOCCCCKOOOOOOOOOOOJZZZJJJAAAAAAQQLLLLLLLLLOONNNNNNNNNNGGGDDDDGGGGGQQQCCCCOOOYOOOOOFHHHHH
+SSMMMMMMVVVVVVVVVAAAAAAAAAAASSSKKKHHKKLLLLLLOLOOOOOOOCCCCCCOOOOOOOOOOOZZZZZZFZZZZZZQQLLLLLLLLLOOONNNNNNNNGGGGGGDGGGGGGQQCCCCCOOOOOOOOFFHHHHH
+SMMMMMMMMMMVVVVVAAAAAAAAAAFAAKKKKKHKKKKKLLLOOOOOOOOOAACCCCCOOOOOOOOOJJJZZZZZZZZZZZZZQLLLLLLLLOOOONNNNNNNNGGGGGGDDGGGGGGCCCCCCCZZZOOOOFFFFHHH
+SSSMMMMMMMVVVVVVAAAAAAAAAAFIYIKKKKKKKKKKKKKOOOOOOOOOOACCCCCJJJJJJJJJJJZZZZZZZZZZZZZZLLLLLLLLLOOOONNNNNGGGGGGGGGGGGGGGGGGCCCCCZZHHOOFEFFFFFFF
+VSVVMMMMMMMVVVVVAAIAAIAIIIIIIIIKKKKKKKKKKKSSOOOOOOOOOACCCCJJMJJJJJJJJZZZZZZZZZZZZZZZSSSSSSSULOOOONNNNNGGGGGGGGGGGGGGGGGGCCCCCZHHHHFFFFFFFFVV
+VVVVMMMMMMMVVVVVAVIIIIIIIIIIIIKKKKKKKKKKKKSSOOKKKKOQUACCCJJJJJJJJJJJZZKZZZZZZZZZZZZSSSSSSSSOOOOOGGNNGGGGGGGGGGGGGGGGGGGCCCCHHZHHHHHFFFFFFFFV
+VVMMMMMMVVVVVVVVVVIIIIIIIIIIIKKKKKKKKKKKKKDDDDDKKUOUUUULLJJJJJJJJRRRRZZZZZZZZZZZZZZSSSSSSSSOOOOOGGNNGGGGGGGGGGGGGGGGGGCCCCCHHZHHHHHYHFFFFFFF
+VVVVVVVMVVVVVVVVIIIIIIIIIIIIIKKKKKKKNNKKKDDDDDDKKUOUUUULLLJJJJJJJRRRRRRZZZZZZZZZZZZSSSSSSSSOOOOOOGGGBGGGGGGGGGGGGGGZZGCCCCHHHHHHHHHHHJFFFFFF
+VVVVVVVVVVVVVVVVIIIIIIIIIIIIIIRKKKKKPNNNNNDDDDDDDUUUUUUULLJJJJJJJRRRRRRBRZRZZZUZZZZSSSSSSSSOOOOOOGGGGGGGGGGGGGGGGGGGGGCCCHHHHHHHHHHHHFFFFMFO
+VVVVVVVVVVVVVVVIIIIIIIIIIIIISSSTTKDDDNDDDDDDDDDDDDUUUUUUSLLJJJJJJZZRRRRRRRRRRRUZZZZSSSSSSSSOOOOOOGGGGGGGGGGGGGGGGGGGIGCCCCCCHHHHHHHHHIIFFVVV
+VVVVVVVVVVVPVVIIIIVIIIIIIIISSSSSSSSGDDDDDDDDDDDDDDUUZZZZZZZZJJOJJJRRRRRRRRRRRRUZYZZSSSSSSSSOOOOGGGGGGGGGGGGGFGGGGGGKOCCCCCCCMHHHHHHHHHHNNVVV
+VVVVVVVVVVUUVVUUIIIIIIIIIIISSSSSSSGGDDDDDDDDDDDDDDDUZZZZZZZZJJOOJJJRRRRRRRRRIRUUYYOSSSSSOOOOOOOOGGGGGGGGGGGGGGGGGGGOOOOOCCMCMMHHHHHHHHHHVVVM
+VVVVVVVVVUUUUUUUIIIIIITISSIISSSSSSSSDDDDDDDDDDDDDDDIZZZZZZZZJJOOOJRRRRRRRRRRUUUUYYYSSSSOOOOOOOOGGGGGGGGGGGGGHHHHTGTTOOOOOOMMMMMMHHHHHHHMMVVM
+PVVVVVVVUUUUUUUUIIIIISSSSSSSSSSSSSSSDDDDDDDDDDDDDZZZZZZZZZZZOJOORRRRRRRRRRRUUUUUUUUSSSSOOOOOOOOPPGGGGGGGGGGHHHHHTTTOOOOOOOMMMMMMMHMMHHHMMMMM
+PVXVVVVVVUUUUUUUUIIISSSSSSSSSSSSSSGFFDDDDDDDDDYYDZZZZZZZZSSOOOOOOORRRRRRRJUUUUUUUUOSSSSOOOOOOPPPPGGGGGGGGGGHHHHHTTOOOOOOOOOMMMMMMMMHHHHHHMMM
+PPVVVVVVEUUUUUUFUUFJJFSSSSSSSSSSSSFFFIDDDDDYYDDYYZZZZZZZZSSSXOOOOOORROZRRJJUUUUUUUUSSSSOOOOOOOPPGGGGGGGGGGGGHHHHTTTOOOOOOOOMMMMMMMMHHHHHMMMM
+PPPPVVVVEEEUUUFFFFFFFFSSSSSSSSSSSSFFFFDDDDDRYYYYIZZZZZZZZXXYXXOOOOORROORRQJUUUUUUUUUOOOOOOOPPPPPGGGGGGGGHGHHHHHHTTTOOOOOOOMMMMMMMMMAMUUHHHMM
+PPPPPEVEEEEEEYFFFFFFFFFSSSSSSSSSSSSFFFDDDDDDYYYYYZZZZZZZZXXXXXXOOOOOOOOQQQJUUUUUUUQOOOOTOOOPPPSSSSGGGGGHHGHHHHHHTTTOOOOXXOOMMMMMMMMAMUUUHMMM
+PPEEEEVEDEEEYYFFFFFFFFFSSSSSSSSSSSFFFDDDDDDYYYZZZZZZZZZZZXXXXXXOOOOOOQOQQQJUUUUUUUQQOOOOXOOPPPPSSSGGGGGHHHHHHHHHHHTTOOOXXXXMMMMMMMMMMUUUHMMM
+PPEEEEEEEEYYYYFFFFFFFFFSSSBSSSSSSFFFFFDFDDDYYYZZZZZZZZZZZXXXXXXOOOOOQQQQQQJUUUUUQQQQQQQQOODPPPPSSBBGGGGHHBHBHHHHHTTTTTTXXXMMMMMMMMMMMUUUGGGG
+PPEHEEEEEEEYYYFFFFFFFFBBBBBSSSSSSSFFFFFFDYYYYYZZZZZFXXXXXXXXXXXOOOOOUOQQQQUUUUUUQQDDDQQQQQDDDPPSGBBKBOBBBBBBHHHHHTLTTTTXXXXMMMMMMMFFUUGGGGGG
+PPPEEVEXEEYYYYFFFBBFFBBBBBBBSSSSSFFFFFFFYYYYYYZZZZZFFXAXXXXXXXXXOOOOOOQQQQQURUUUVQDDDDDDJQDPPPPSGGBBBBBBBBRRHHHLLLLLLTTTXXXXXXMMTFFFUGGGGGSS
+PPPEEVEXXXXYYYYFFBTTBBBBBFFBSFSFFFFPPFYYYYYYYYZZZZZFFAAXXXXXXXXXOOOOQQQQQQQQRQQVVVDDDDDDDDDDDPPPBBBBBBBBBBBBHHHHLLLLLTXXXXXXXXXXFFFFFGGGGGGS
+PPPEPXXXXXYYYYYFFFTTBBBBBFFFFFSFFFFPPPGSSSYYYYZZZZZFAAAAXXXXXXWOOOOOQQQQQQQQQQQQVVDDDDDDDDDDDPPPPBBBBBBBBBBNNLLLLLLLLLLXXXXXXGFFFFFFGGGGGGGG
+PPPPPXXXXXYYYYYYTTTTTTCFFFFFFFFFFFPPPZZZZZZZZZZZZZZZZAAAATAXXWWWWWAQQQQQQQQQQQXVVVDDDDDDDDDDDPPPPBBBBBBBBBBLLLLLLLLLLLLXLLXXXGGFFFFFGGGGGGGG
+PPPPPXXXXXXYXXTTTTTTTTFFFFFFFFFFFZZZZZZZZZZZZZZZZZZZZJAAAAAAWWWAWWASQAQQQQQQXXXVVDDDDDDDDDDDDPMBBBLBBBBBBBBLLLLLLLLLLLLLLXXGGGGGGFGGGGGGGGGG
+PPPXXXXXXXXXXXTTTTTTTTFFJFFFFFFFFZZZZZZZZZZZZZZJJZZZZJAAAAAAWWAAAAAAAAQQQQQXXXXVXDDDDDDDDDDDDPMBBLLLLBBBBBLLLLLLLLLLLLLLLLLLGGGGGGGGGGGGGGGG
+PPPXXXXXXXXXXXXTTTTTTTTFFFFFFFFFFZZZZZZZZZZZZZZZZZZZZJAAAAAWWAAAAAAAQQQQQQXXXXXXXYDDDDDDDDDDDMMMMMMMLBBBBBBBLLLLLLLLXXXXXXNNNNNGGGGGGZGGGGGG
+PPPXXXXXXXXXXXXXTTTTTTTFFFFFFFFFFZZZZZZZZZZZZZZZZZZZZJAAAAAZZZAAAAAAJJJQQQQXXXXXYYDDDDDDDDDDDMMMMMMMLLBMBBLLLLLLLXXXXXXXXXNNNNNGGGGGGZGZZNGG
+PPPXXXXXXXXXXXXXXTTTTTTTVVDFFFFFFZZZZZZZZZZZZZZZZZZZZJAAAAZZZELALLAJJJJJQQXXXXXXYXDDDDDDDDDDMMMMMMMMMMYMYYLLLLLLXXXXXXXXXXNNNNPPPPGZZZZZGGGV
+PPPXXXXXXXXXXXXXTTTTTTTDDVDFFFFFFZZZZZZZZZZZZZZJJJJJJJAAZZZZZLLLLLJJJJJYXXXXXXXXXXTDDDDDDDMMMMMMMMMMYYYMYYYZLLLLXXXXXXXXXXNNNNNPPPPZZZZZZZZZ
+PPPPXXXXXRRXXXEXTTTTTDDDDDDXDDMMFFFFGZZZZZZZZZZJJJJJJJJJJJJJZZZZLCJJJLLYYXXXXXXXXXXDDDDDDDMMMMMMMMMMMYYYYYLLLLLLXXXXXKXXXXNNNNNNPPPZZZZZZZZZ
+PPPPXXXXXRXXXXXXTTTTTTDDDDDDDDDMIFZFGZZZZZZZZZZAAGAAZJJJJJJJZZZZLLJJLLLYYYYXXXXXXXQDDDDDDDMMMMMMMMMMMYYYYYYYLLLRXXXXXNXXXXNNNNNNPPPZZZZZZZZZ
+PPPPPXXXXRXVXXTTWTTTDDDDDDDDDDDMIPFFULLLLLLGGGGGGGGAZJJJJJJJZZZZZLLJLLLLYYYXXXXXYYYYYDDDDDMMMMMIIMMMYYYYYYYYZLLRRXXXXNXXXXNNNNNNNNPZZZZZZZZZ
+PPPPPPDXDRXVVDATTTTTDDDDDDDDDDBIIIUUULLHLGGGGGGGGGGZZJJJJJJJZZCLLLLLLLLLYYYYXXYYYYYYYGGGMMMMMMMMIIMYYYYYYYYYZRRRRRZMNNXXXXNNNNNNNNNLZZZZZZZZ
+PPPPPPDDDRDDDDTTTTTTDDDDDDDDDDDIIUUUILLLLLLLGGGGGGGGZJJJJJJJZCCLLLLLLLLLUUUXXXYYYYYYGGGGMMMMMMMMIIMMYYYYYYYZZRRRRZZMMNXXXXNNNNNNNNNNZZZZZZZZ
+PPPPDDDDDDDDDDNNTTTTDDKDDDDDDDIIIUUIILLLLGGLGGGGGGGGZJJJJJJJCCCCLLLLLLLLUUYYYYYYYYYYYGGGGGMGMMMMMMMMYYYYYYYYZRRRZZMMMMXXXXNNNNNNBBNZZZZZZZZZ
+PPPPPDDDDHDDDDDDZZZKKKKDKKDDIIIIIIIIILLLGGGGGGGGGGGGGJJJJJJJCCCLLLLLUULUUUYYYYYYYYYYYGGGGZGGGGMMMMMYYYYYYYZZZZZZZZZMMMXXXXNNNNNNBBNZZZZZZZZZ
+PPPPPDDDDDDDDQDDDZZKKKKDKKKDDIIIIIIIIIILGGGGXGGGGGGGGJJJJJJJCCCCLLLLLUUUUUUYYYYYYYYYYGGGGGGGNGMMMMMYIYBBBZZZZZZZZZZMMMMMMNNNNNNNBBZZZZZZZZZZ
+PPPDDDDDDDDDDQDQZZZZKKKKKKKIIIIIIIIIIUULGXXXXGGGGGGGGJJJJJJJCCCCCLLLLUUUUUUUYYYYYYYYYGGGGGGGGGMMMMMMMYBQQQQZZZZZZZZMMMMNNNNNNNNNBBZZZZZZZZZZ
+PPPPDDDDDDDDZQQQZZZZZKKKKKKIIIIIIIIIIYYYYYXXYGGGGGGXXXXXXXXXXCCCCCLLLUUUUUTUYYYYYYYYYGGGGGGGGGMMMMMMBBBQQQQZZZZZZMMMMMMMNXXNNNBBBBBBZZZFZZZZ
+PPPPDDDDDDDDZQQQZZZZZZZKKKKIIIIIIIIIIYYYXXXYYYYGXXXXXXXXXXXXCCPCCCCCUUUUUUTUYYYYYYYYYYGGGGGGGLMMMMMMBBBQQQQBZZZZZZZMMMSSSSXNNNNBBBBBZQZZZZZZ
+PTTTDDDDDDDDZZZZZZZZZZZZKKKKIIIIIIIIIYYYYYYYYYYXXXXXXXXXXXXPPCPPCCCCCUUUUUUUYYYYYYYYYYGGGGGGGMMMMMMMMBBQQQQBZZZZZZZMSSSSSSSLLBBBBBYYQQQQQZZZ
+PTTTADDDDDZZZZZZZZZZZZZKKKKIIOOIIIIIIYYYYYYYYYYYZXXXXXXXXXPPPPPCCCCCCCUUUUUYYYYYYYYYYYGGGGGGGMMMMUMUMKKQQQQZZZZZZHHSSSSSLLLLLBBBBYYQQQQQQQZZ
+TTTTAADTDDDZZZZZZZZZZZZKKKKIIIIIIIIIIIYYYYYYYYZZZZZXXXXXXPPPPPPPPCCCCCUUUUUUYYYYYYYYYMMGGGGGGMMMUUUUUUKQQQQZZBZZZZSSSSSSSLLLLLBYYYYYYQQQQQQQ
+TTTTTATTTTDDZZZZZZZZZKKKKKKIIIIIIIIIIIIYYYYYYYYYZZXXXXXXXPPPPPPPPPCUUUUUAUUYYYYYYYEEEGGGGGGTMMMMVVUUUBBQQQQNNZZZZNSSSSSLLLLLLLBLLYYYYYQQQQQQ
+TTTTTTTTTTZZZZZZZTZZKKKKKIIIIIIIIIIIIGIGYYYYYYYYZZXXXXXXXXPPPPPPPPCCCUUUAUUYYYYYYEEEEEEESGGTTTMUUUUUUBBQQQQNNNZNNNSSSSSSSLLLLLLLLYYYYYQQQQQQ
+TTTTTTTTTTVVZZZZZZZZZZZKKAAAIAAIIIIGGGGGYYYYYYYYZYYYXXXXXXPPPPPPPPCCCUUUAAAYYYYYYEEEEEEEEGEEEEMMUUUUUUUXXBKKKINNNNSSSSSSSLLLLLLLLLYYYYYLQQQQ
+TTTTTTTTTTTTPZZZZZZZZKKKAAAAAAAIIGGGGGGGGYYYYYYYYYYYXXXXXXPPPPPPPPPCCUUAAAAYYYYEEEEEEEEEEEEEEEMMUUUUUUUXXBIIIIIIIISSSSSSSLLLLLLLYLYYYYYLLLLQ
+TTTTTTTTTTTTTLLZZZNAAAALLAAAAAGIGGGGGGGGGYYYYYYYNYXXXXXXXPPPPPPPPPPPPPIIAAAAAYYEEEEEEEELEEEQEMMQUUUUUUUUIIIIIIIIIIISSSSSSLLLLLLLYYYYYYYLLLQQ
+TTTTTTTTTTTTLLZZLLAAAAQQLCAAAAGGGGGGGGGOGYYYYYYYXXXXXXXXXPPPPPPPPPKKIIIAAAAAAAEEEEEEEEEEEEQQQQMQQUUUUUUIIIIIIIIIIIISSSSSSSLLLLLYYYYYYYYLLLLQ
+TTTTTTTTTTTTLLLLLLLLAAQLLLALAAAGGGGGGGGGGYYYYYYYXXXXXXXXXPPPPPPPPPPPIIIAAAAAAAAEEEEEEEEVVVQQQQQQQQUUUVVIIIIIIIIIIIISSSSSSSLLYYYYYYYYYYYLLLQQ
+TTTTTTTTTTTTLLLLLLLVAAVVLLLLGGGGGGGGGEGGGYYYYYRYYXRRXXXXXPPPPPPPPPPPPIIIIAAAAAAAEEEEEEEVVQQQQQQQQQQUVVVVVIIIIIIIPIISSSSSSSLYYYYYYYYYYYYYYYQQ
+TTTTTTTTTTTTLLLLLLLVVVVVLLLLLGGGGGGGGEYYYYYYYYRYRRRRXXXXXPPPPPPPPIIIIIIAAAAAAAAAEEEEEEEQQQQQQQQQQQQUVVVVVIIIIIIIIIGSSSSSSSSYVVYYYYYYYYYYYQQQ
+TTTTTTTTTTTTTLLLLLLLVVLLLLLLGGGGFGGGGGGYYYYYYYRYRRRRXXRRPPPPPPPIIIIIIIIIIIAAAAAAAAAEEEEQQQQQQQQQQQUUVFFFIIIIIIIIYYGGSSSSSSSSVYYYYYYYYYYQQQQQ
+TTTTTTTTTMTLLLLLLLLLLVLLLLLLGSSGGGGSSSYYYYYYYRRRRRRRRRRRRRPPPPPIIIIIIIIIIIIAAAAAAAAEHEEQQQQQQQQQQQQQVVFFIIIIIIIYYYGGGVVSVSVVVYYYYYYYQQQQQQQQ
+TTTTTTTTLLLLLLLLLLLLLLLLLLLLGSSSGTGSSYYYYYYYYYRRRRRRRRRRRRRPRRIIIIIIIIIIIAAAAAAAAAAEHEEQQQQQQQQQQQQQQFFFFIIIIIIIIYYGGGVVVVVVVYYYWYYYQQQQQQQQ
--- a/2024/d13/ex1/ex1.py
+++ b/2024/d13/ex1/ex1.py
@ -0,0 +1,79 @@
+#!/usr/bin/env python
+
+import dataclasses
+import sys
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+@dataclasses.dataclass
+class ClawMachine:
+    a_delta: Point
+    b_delta: Point
+    prize: Point
+
+
+def solve(input: str) -> int:
+    def parse_button(input: str) -> Point:
+        deltas = input.split(": ")[1].strip()
+        x, y = map(lambda delta: int(delta.split("+")[1]), deltas.split(", "))
+        return Point(x, y)
+
+    def parse_prize(input: str) -> Point:
+        coords = input.split(": ")[1].strip()
+        x, y = map(lambda delta: int(delta.split("=")[1]), coords.split(", "))
+        return Point(x, y)
+
+    def parse_claw_machine(input: list[str]) -> ClawMachine:
+        assert len(input) == 3  # Sanity check
+        return ClawMachine(
+            parse_button(input[0]),
+            parse_button(input[1]),
+            parse_prize(input[2]),
+        )
+
+    def parse(input: str) -> list[ClawMachine]:
+        return [parse_claw_machine(group.splitlines()) for group in input.split("\n\n")]
+
+    def play_machine(machine: ClawMachine) -> int | None:
+        def found_prize(row: list[tuple[int, Point]]) -> int | None:
+            for tokens, p in row:
+                if p == machine.prize:
+                    return tokens
+            return None
+
+        row = [
+            (3 * i, Point(machine.a_delta.x * i, machine.a_delta.y * i))
+            for i in range(101)
+        ]
+        res = found_prize(row)
+        for _ in range(100):
+            row = [
+                (tokens + 1, Point(p.x + machine.b_delta.x, p.y + machine.b_delta.y))
+                for tokens, p in row
+            ]
+            tmp = found_prize(row)
+            if tmp is None:
+                continue
+            if res is None:
+                res = tmp
+            res = min(res, tmp)
+        return res
+
+    claw_machines = parse(input)
+    return sum(
+        tokens for tokens in map(play_machine, claw_machines) if tokens is not None
+    )
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d13/ex1/input
+++ b/2024/d13/ex1/input
--- a/2024/d13/ex2/ex2.py
+++ b/2024/d13/ex2/ex2.py
@ -0,0 +1,69 @@
+#!/usr/bin/env python
+
+import dataclasses
+import sys
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+@dataclasses.dataclass
+class ClawMachine:
+    a_delta: Point
+    b_delta: Point
+    prize: Point
+
+
+def solve(input: str) -> int:
+    def parse_button(input: str) -> Point:
+        deltas = input.split(": ")[1].strip()
+        x, y = map(lambda delta: int(delta.split("+")[1]), deltas.split(", "))
+        return Point(x, y)
+
+    def parse_prize(input: str) -> Point:
+        coords = input.split(": ")[1].strip()
+        x, y = map(lambda delta: int(delta.split("=")[1]), coords.split(", "))
+        return Point(10000000000000 + x, 10000000000000 + y)
+
+    def parse_claw_machine(input: list[str]) -> ClawMachine:
+        assert len(input) == 3  # Sanity check
+        return ClawMachine(
+            parse_button(input[0]),
+            parse_button(input[1]),
+            parse_prize(input[2]),
+        )
+
+    def parse(input: str) -> list[ClawMachine]:
+        return [parse_claw_machine(group.splitlines()) for group in input.split("\n\n")]
+
+    def play_machine(machine: ClawMachine) -> int | None:
+        a_dx, a_dy = machine.a_delta
+        b_dx, b_dy = machine.b_delta
+        px, py = machine.prize
+
+        a = (px * b_dy - py * b_dx) // (b_dy * a_dx - b_dx * a_dy)
+        b = (px * a_dy - py * a_dx) // (a_dy * b_dx - a_dx * b_dy)
+
+        if a * a_dx + b * b_dx != px:
+            return None
+        if a * a_dy + b * b_dy != py:
+            return None
+
+        return 3 * a + b
+
+    claw_machines = parse(input)
+    return sum(
+        tokens for tokens in map(play_machine, claw_machines) if tokens is not None
+    )
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d13/ex2/input
+++ b/2024/d13/ex2/input
--- a/2024/d14/ex1/ex1.py
+++ b/2024/d14/ex1/ex1.py
@ -0,0 +1,61 @@
+#!/usr/bin/env python
+
+import dataclasses
+import functools
+import operator
+import sys
+from collections import Counter
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+@dataclasses.dataclass
+class Robot:
+    pos: Point
+    vel: Point
+
+    def step(self, dims: Point, delta: int = 1) -> "Robot":
+        x, y = self.pos.x + self.vel.x * delta, self.pos.y + self.vel.y * delta
+        return Robot(
+            Point(x % dims.x, y % dims.y),
+            self.vel,
+        )
+
+
+def solve(input: str) -> int:
+    def parse_robot(input: str) -> Robot:
+        pos, vel = map(lambda s: s.split("=")[1], input.split(" "))
+        return Robot(
+            Point(*map(int, pos.split(","))),
+            Point(*map(int, vel.split(","))),
+        )
+
+    def parse(input: list[str]) -> list[Robot]:
+        return [parse_robot(line) for line in input]
+
+    def compute_safety(robots: list[Robot], dims: Point) -> int:
+        mid_x, mid_y = dims.x // 2, dims.y // 2
+        counts: Counter[tuple[bool, bool]] = Counter()
+        for x, y in map(lambda robot: robot.pos, robots):
+            if x == mid_x or y == mid_y:
+                continue
+            counts[(x < mid_x, y < mid_y)] += 1
+        return functools.reduce(operator.mul, counts.values())
+
+    robots = parse(input.splitlines())
+    dims = Point(101, 103)
+    robots = [robot.step(dims, 100) for robot in robots]
+    return compute_safety(robots, dims)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d14/ex1/input
+++ b/2024/d14/ex1/input
@ -0,0 +1,500 @@
+p=62,20 v=85,-14
+p=88,18 v=-70,97
+p=51,21 v=35,-22
+p=19,56 v=2,45
+p=93,11 v=-87,26
+p=90,67 v=44,-13
+p=99,34 v=82,57
+p=55,42 v=82,22
+p=61,22 v=-24,-95
+p=100,7 v=18,-29
+p=92,56 v=-56,66
+p=66,15 v=-6,77
+p=62,21 v=68,39
+p=8,80 v=-72,-90
+p=33,40 v=89,-46
+p=28,10 v=-4,-64
+p=4,78 v=-55,1
+p=87,23 v=-32,-10
+p=1,76 v=85,6
+p=15,51 v=-35,-75
+p=58,98 v=-41,80
+p=34,17 v=-25,-47
+p=66,81 v=23,50
+p=48,97 v=-53,88
+p=99,69 v=-97,83
+p=25,23 v=-38,31
+p=16,54 v=91,37
+p=12,65 v=-85,-41
+p=13,62 v=51,64
+p=54,16 v=-91,-30
+p=99,92 v=34,30
+p=44,21 v=-50,-9
+p=0,55 v=15,-46
+p=68,23 v=-53,-51
+p=29,51 v=24,-55
+p=42,10 v=-98,28
+p=76,50 v=-55,-54
+p=83,24 v=65,-70
+p=13,15 v=-85,64
+p=2,53 v=-43,-59
+p=8,88 v=-24,34
+p=100,50 v=33,-20
+p=24,83 v=17,54
+p=18,71 v=52,38
+p=93,21 v=-33,-18
+p=8,78 v=-19,-7
+p=23,31 v=61,-46
+p=76,60 v=47,46
+p=51,26 v=-53,32
+p=32,54 v=-76,33
+p=66,65 v=-42,62
+p=19,3 v=78,-23
+p=96,46 v=88,-76
+p=53,44 v=12,-13
+p=64,56 v=-30,64
+p=41,52 v=35,-24
+p=49,9 v=-28,35
+p=77,18 v=9,-43
+p=57,3 v=97,-97
+p=81,57 v=-23,27
+p=13,73 v=-22,-90
+p=97,76 v=-46,-49
+p=63,43 v=-80,99
+p=90,96 v=-37,-92
+p=89,33 v=82,-42
+p=79,64 v=-19,-58
+p=64,65 v=59,-90
+p=84,54 v=17,24
+p=95,42 v=18,-13
+p=90,43 v=-36,-62
+p=83,2 v=32,-97
+p=34,69 v=-38,-78
+p=91,17 v=18,31
+p=42,82 v=74,-94
+p=1,33 v=-72,-42
+p=97,82 v=-20,-94
+p=83,83 v=-23,40
+p=56,22 v=85,-22
+p=50,42 v=25,-70
+p=32,1 v=88,-60
+p=63,71 v=-3,-33
+p=49,85 v=-67,59
+p=18,8 v=-23,39
+p=24,60 v=-76,-87
+p=34,100 v=-88,-85
+p=84,84 v=44,79
+p=16,101 v=53,-64
+p=44,33 v=88,-25
+p=52,22 v=-43,-35
+p=30,63 v=-23,-86
+p=14,40 v=65,-50
+p=56,98 v=-41,88
+p=42,11 v=-14,-72
+p=72,9 v=-4,-72
+p=26,71 v=-47,-62
+p=92,18 v=-71,15
+p=81,40 v=59,7
+p=79,69 v=16,64
+p=4,40 v=24,-83
+p=17,78 v=65,-32
+p=87,85 v=81,-36
+p=98,27 v=42,42
+p=100,55 v=72,95
+p=94,12 v=-80,61
+p=73,34 v=96,-38
+p=32,30 v=-63,-38
+p=45,37 v=-27,-75
+p=6,0 v=-72,-68
+p=24,58 v=39,41
+p=25,74 v=-26,-15
+p=99,82 v=80,64
+p=88,54 v=-94,-21
+p=100,81 v=29,-28
+p=84,87 v=56,6
+p=71,17 v=-95,-96
+p=37,89 v=-9,-18
+p=42,30 v=-78,-59
+p=92,17 v=-68,14
+p=31,55 v=88,66
+p=28,10 v=-13,-62
+p=30,30 v=29,60
+p=89,80 v=8,-42
+p=23,75 v=41,-44
+p=65,78 v=-55,42
+p=1,80 v=-9,19
+p=54,78 v=36,83
+p=10,40 v=66,-95
+p=67,71 v=8,58
+p=23,17 v=12,69
+p=36,70 v=76,21
+p=7,63 v=-60,-65
+p=39,96 v=87,41
+p=8,56 v=-34,-90
+p=64,66 v=9,79
+p=2,61 v=4,17
+p=64,51 v=28,-6
+p=91,25 v=-41,69
+p=92,3 v=-85,47
+p=61,41 v=-90,57
+p=86,61 v=-69,70
+p=82,45 v=7,-13
+p=23,39 v=-78,-40
+p=58,3 v=-30,15
+p=87,30 v=87,-25
+p=21,84 v=39,34
+p=36,26 v=89,-59
+p=90,51 v=-83,-91
+p=5,39 v=79,-87
+p=5,63 v=66,-74
+p=71,45 v=21,-21
+p=49,40 v=-68,-66
+p=68,93 v=96,96
+p=67,96 v=46,51
+p=72,44 v=-32,82
+p=15,90 v=15,2
+p=26,78 v=28,-44
+p=7,3 v=-87,-39
+p=74,101 v=94,-76
+p=90,20 v=-6,-46
+p=22,17 v=-68,-63
+p=12,81 v=-37,14
+p=37,84 v=-15,22
+p=75,31 v=83,-63
+p=48,2 v=-90,-27
+p=44,94 v=-63,31
+p=73,71 v=-50,22
+p=22,101 v=39,51
+p=49,94 v=-90,26
+p=93,67 v=5,-12
+p=57,83 v=-68,80
+p=86,82 v=44,-32
+p=3,64 v=87,-62
+p=43,87 v=-20,-57
+p=40,18 v=-8,-56
+p=80,46 v=-89,57
+p=79,26 v=-18,27
+p=3,27 v=-98,77
+p=99,44 v=42,-99
+p=25,27 v=-72,23
+p=98,24 v=43,85
+p=54,93 v=-28,-60
+p=29,4 v=86,80
+p=42,96 v=-75,14
+p=75,77 v=54,81
+p=96,63 v=-46,-33
+p=51,94 v=88,-69
+p=31,88 v=51,39
+p=75,15 v=-43,-84
+p=8,18 v=93,63
+p=20,65 v=99,30
+p=71,5 v=72,-98
+p=31,95 v=63,-19
+p=87,70 v=-68,71
+p=11,55 v=15,37
+p=63,36 v=10,36
+p=41,98 v=37,10
+p=27,78 v=26,-36
+p=53,93 v=30,18
+p=78,25 v=-58,-80
+p=21,100 v=-73,66
+p=36,33 v=25,11
+p=65,3 v=-92,-68
+p=46,22 v=-64,48
+p=49,87 v=-91,38
+p=82,37 v=6,16
+p=24,94 v=-30,-3
+p=14,94 v=94,37
+p=28,32 v=39,-1
+p=35,19 v=-68,-25
+p=3,51 v=-47,70
+p=12,6 v=-29,-28
+p=28,19 v=15,2
+p=75,45 v=95,-67
+p=76,4 v=7,-93
+p=45,29 v=-63,-37
+p=41,22 v=-64,93
+p=67,45 v=10,-36
+p=51,1 v=21,-74
+p=25,84 v=1,-81
+p=15,36 v=-47,-29
+p=44,98 v=24,-81
+p=79,30 v=45,94
+p=45,57 v=12,-57
+p=12,23 v=65,78
+p=65,76 v=-68,17
+p=100,100 v=79,23
+p=75,22 v=58,-84
+p=82,65 v=69,-74
+p=76,6 v=-61,-61
+p=61,38 v=27,53
+p=68,94 v=86,37
+p=64,71 v=6,-88
+p=21,93 v=-53,-65
+p=32,86 v=64,-98
+p=11,11 v=-95,-95
+p=36,32 v=-38,65
+p=23,95 v=91,-65
+p=31,33 v=12,-34
+p=12,5 v=-99,-72
+p=50,3 v=-91,-93
+p=74,66 v=33,13
+p=22,7 v=-12,-97
+p=11,6 v=41,-43
+p=14,16 v=-21,60
+p=95,76 v=81,-61
+p=3,55 v=79,99
+p=43,97 v=-1,-60
+p=73,66 v=31,-33
+p=60,33 v=73,-57
+p=63,57 v=71,-95
+p=86,11 v=-20,-80
+p=50,28 v=86,-34
+p=66,5 v=-80,45
+p=96,87 v=67,6
+p=52,16 v=-53,40
+p=31,31 v=38,32
+p=96,23 v=-34,-72
+p=46,64 v=-91,45
+p=14,19 v=-73,60
+p=31,85 v=12,-32
+p=19,36 v=-36,-46
+p=39,21 v=-52,15
+p=98,34 v=-10,81
+p=96,65 v=-9,1
+p=97,75 v=-21,34
+p=22,0 v=64,2
+p=8,15 v=-24,36
+p=67,1 v=61,-89
+p=64,76 v=70,34
+p=22,29 v=-74,-54
+p=73,48 v=-41,-75
+p=83,7 v=-82,-72
+p=57,6 v=-66,-93
+p=31,21 v=-50,81
+p=90,21 v=-56,-35
+p=79,73 v=54,77
+p=62,64 v=60,29
+p=51,70 v=-96,-6
+p=35,71 v=75,-33
+p=9,56 v=53,-58
+p=63,48 v=-94,49
+p=61,72 v=82,55
+p=51,79 v=-66,5
+p=2,62 v=46,-46
+p=56,2 v=10,-64
+p=42,74 v=-64,75
+p=0,83 v=17,-61
+p=3,59 v=-97,33
+p=40,82 v=-15,47
+p=89,8 v=94,19
+p=76,26 v=-95,-23
+p=4,86 v=79,76
+p=4,32 v=-77,31
+p=35,38 v=-9,-59
+p=78,87 v=72,-57
+p=72,72 v=-72,67
+p=94,33 v=-2,-93
+p=59,96 v=37,-19
+p=90,24 v=-83,-1
+p=88,61 v=69,50
+p=67,28 v=35,-66
+p=40,63 v=75,29
+p=84,27 v=-42,-91
+p=40,21 v=-31,-30
+p=1,50 v=-34,-95
+p=87,59 v=96,-94
+p=36,19 v=-78,-68
+p=5,43 v=-78,91
+p=27,49 v=91,-99
+p=61,85 v=11,14
+p=89,61 v=-83,-97
+p=31,78 v=-86,81
+p=76,69 v=33,-82
+p=74,28 v=-43,-71
+p=23,27 v=-35,86
+p=80,74 v=-33,-86
+p=99,10 v=43,-10
+p=59,55 v=-41,-95
+p=89,94 v=58,43
+p=72,87 v=7,67
+p=68,73 v=-29,-57
+p=1,46 v=80,41
+p=45,33 v=36,-38
+p=24,4 v=46,21
+p=18,94 v=-35,5
+p=82,45 v=53,74
+p=93,75 v=-83,-86
+p=14,3 v=51,-80
+p=74,30 v=-30,-96
+p=70,38 v=-29,-34
+p=55,76 v=-94,-13
+p=11,82 v=-10,38
+p=11,55 v=-35,-4
+p=93,76 v=6,-57
+p=17,57 v=-80,-42
+p=47,82 v=18,94
+p=84,70 v=-84,1
+p=48,94 v=-90,6
+p=95,41 v=-51,57
+p=18,53 v=55,-84
+p=100,20 v=-20,-56
+p=49,26 v=-17,34
+p=31,62 v=92,-86
+p=69,2 v=-81,82
+p=76,43 v=-71,97
+p=23,15 v=-62,97
+p=26,23 v=-87,40
+p=67,48 v=34,16
+p=64,11 v=-54,85
+p=85,58 v=8,-49
+p=80,25 v=57,-6
+p=45,35 v=49,-9
+p=96,65 v=-20,-25
+p=91,49 v=68,16
+p=8,62 v=29,33
+p=97,50 v=69,-85
+p=52,53 v=-2,70
+p=70,68 v=44,83
+p=65,7 v=-17,39
+p=45,14 v=-87,-34
+p=94,47 v=-93,-46
+p=29,84 v=70,11
+p=70,73 v=-23,-6
+p=100,51 v=45,18
+p=21,2 v=-13,-19
+p=67,32 v=-95,-82
+p=61,2 v=-54,64
+p=17,12 v=65,35
+p=67,54 v=-74,-89
+p=2,6 v=5,-92
+p=26,77 v=-12,-28
+p=39,77 v=12,-86
+p=70,57 v=84,-83
+p=8,88 v=-60,13
+p=19,37 v=-38,-89
+p=0,14 v=6,-2
+p=24,59 v=-24,-82
+p=5,13 v=-11,-47
+p=21,27 v=88,23
+p=89,75 v=-20,83
+p=68,66 v=19,1
+p=34,72 v=-74,25
+p=27,70 v=14,-90
+p=89,9 v=-44,2
+p=5,67 v=-61,-36
+p=52,13 v=-53,-84
+p=50,21 v=-90,-9
+p=21,16 v=2,64
+p=69,21 v=-18,-88
+p=64,85 v=-80,34
+p=31,70 v=50,95
+p=15,8 v=-23,52
+p=97,52 v=28,41
+p=85,6 v=8,-15
+p=9,33 v=-74,52
+p=46,59 v=90,96
+p=71,50 v=-93,98
+p=15,74 v=-24,-82
+p=54,87 v=-15,-36
+p=37,25 v=-15,7
+p=92,13 v=86,78
+p=90,14 v=20,-68
+p=68,37 v=-5,4
+p=58,56 v=48,-99
+p=27,16 v=-36,-32
+p=4,49 v=-58,65
+p=5,50 v=-60,98
+p=13,31 v=-48,-91
+p=58,75 v=46,8
+p=66,88 v=-6,-98
+p=95,16 v=32,23
+p=86,21 v=-57,-55
+p=19,65 v=-32,-98
+p=83,57 v=-46,-95
+p=37,10 v=38,64
+p=87,33 v=46,8
+p=45,54 v=-53,-58
+p=35,95 v=-39,-7
+p=89,65 v=58,-45
+p=82,80 v=-82,-65
+p=35,7 v=25,76
+p=66,92 v=-16,-44
+p=75,89 v=-92,66
+p=48,84 v=98,42
+p=70,84 v=-30,-44
+p=49,51 v=-92,28
+p=27,85 v=62,-36
+p=31,21 v=3,-64
+p=61,101 v=-15,88
+p=56,44 v=90,68
+p=83,49 v=-95,-83
+p=69,38 v=8,-92
+p=34,13 v=-32,43
+p=0,51 v=-75,25
+p=39,36 v=76,69
+p=66,59 v=70,-96
+p=78,42 v=-31,-62
+p=5,5 v=-33,-22
+p=54,74 v=-12,44
+p=25,26 v=25,85
+p=74,88 v=-39,56
+p=65,83 v=33,-28
+p=87,90 v=95,30
+p=71,20 v=-29,93
+p=66,9 v=83,-96
+p=38,51 v=50,41
+p=66,87 v=44,46
+p=30,31 v=-49,-14
+p=70,32 v=73,28
+p=0,94 v=95,26
+p=87,80 v=-83,46
+p=92,70 v=-58,99
+p=48,67 v=-1,41
+p=43,74 v=49,34
+p=87,51 v=43,8
+p=23,63 v=39,-86
+p=2,77 v=48,7
+p=32,60 v=-63,-37
+p=99,3 v=-21,31
+p=82,55 v=57,8
+p=5,68 v=-46,-41
+p=32,77 v=-38,88
+p=84,0 v=6,-64
+p=20,95 v=52,26
+p=29,98 v=-16,83
+p=44,81 v=-27,-73
+p=43,40 v=-41,-42
+p=24,73 v=-88,-49
+p=99,45 v=-97,8
+p=37,9 v=-31,-57
+p=70,11 v=8,-39
+p=0,11 v=96,57
+p=83,70 v=70,75
+p=65,71 v=-40,-65
+p=82,66 v=73,-80
+p=31,41 v=52,-96
+p=19,72 v=65,75
+p=24,4 v=-86,54
+p=75,85 v=85,30
+p=2,83 v=17,-7
+p=9,87 v=-22,59
+p=24,3 v=-12,21
+p=5,74 v=-34,46
+p=22,90 v=-37,-11
+p=20,84 v=4,95
+p=95,10 v=-96,-55
+p=52,9 v=23,-14
+p=20,51 v=-63,-75
+p=64,27 v=24,48
+p=50,2 v=-90,-68
+p=54,47 v=23,70
+p=26,22 v=51,-51
+p=4,49 v=-72,-54
+p=53,47 v=2,-86
+p=21,29 v=-37,13
+p=37,70 v=38,-40
+p=6,41 v=43,-20
+p=88,23 v=-38,-68
+p=67,20 v=79,-71
+p=37,7 v=24,25
--- a/2024/d14/ex2/ex2.py
+++ b/2024/d14/ex2/ex2.py
@ -0,0 +1,80 @@
+#!/usr/bin/env python
+
+import dataclasses
+import functools
+import itertools
+import sys
+from typing import Literal, NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+@dataclasses.dataclass
+class Robot:
+    pos: Point
+    vel: Point
+
+    def step(self, dims: Point, delta: int = 1) -> "Robot":
+        x, y = self.pos.x + self.vel.x * delta, self.pos.y + self.vel.y * delta
+        return Robot(
+            Point(x % dims.x, y % dims.y),
+            self.vel,
+        )
+
+
+def solve(input: str) -> int:
+    def parse_robot(input: str) -> Robot:
+        pos, vel = map(lambda s: s.split("=")[1], input.split(" "))
+        return Robot(
+            Point(*map(int, pos.split(","))),
+            Point(*map(int, vel.split(","))),
+        )
+
+    def parse(input: list[str]) -> list[Robot]:
+        return [parse_robot(line) for line in input]
+
+    def find_tree(robots: list[Robot], dims: Point) -> int:
+        def compute_positions(step: int) -> list[Point]:
+            return [robot.step(dims, step).pos for robot in robots]
+
+        def compute_variance(values: list[int]) -> float:
+            avg = sum(values) / len(values)
+            variance = sum((n - avg) ** 2 for n in values) / len(values)
+            return variance
+
+        def cluster_variance(step: int, dimension: Literal["x", "y"]) -> float:
+            return compute_variance(
+                [getattr(p, dimension) for p in compute_positions(step)]
+            )
+
+        # The tree should have robots clustered together in X and Y
+        cluster_x = min(
+            range(dims.x),
+            key=functools.partial(cluster_variance, dimension="x"),
+        )
+        cluster_y = min(
+            range(dims.y),
+            key=functools.partial(cluster_variance, dimension="y"),
+        )
+
+        # And those clusers should repeat modulo each dimension
+        for i in itertools.count(cluster_x, step=dims.x):
+            if i % dims.y == cluster_y:
+                return i
+        assert False  # Sanity check
+
+    robots = parse(input.splitlines())
+    dims = Point(101, 103)
+    return find_tree(robots, dims)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d14/ex2/input
+++ b/2024/d14/ex2/input
@ -0,0 +1,500 @@
+p=62,20 v=85,-14
+p=88,18 v=-70,97
+p=51,21 v=35,-22
+p=19,56 v=2,45
+p=93,11 v=-87,26
+p=90,67 v=44,-13
+p=99,34 v=82,57
+p=55,42 v=82,22
+p=61,22 v=-24,-95
+p=100,7 v=18,-29
+p=92,56 v=-56,66
+p=66,15 v=-6,77
+p=62,21 v=68,39
+p=8,80 v=-72,-90
+p=33,40 v=89,-46
+p=28,10 v=-4,-64
+p=4,78 v=-55,1
+p=87,23 v=-32,-10
+p=1,76 v=85,6
+p=15,51 v=-35,-75
+p=58,98 v=-41,80
+p=34,17 v=-25,-47
+p=66,81 v=23,50
+p=48,97 v=-53,88
+p=99,69 v=-97,83
+p=25,23 v=-38,31
+p=16,54 v=91,37
+p=12,65 v=-85,-41
+p=13,62 v=51,64
+p=54,16 v=-91,-30
+p=99,92 v=34,30
+p=44,21 v=-50,-9
+p=0,55 v=15,-46
+p=68,23 v=-53,-51
+p=29,51 v=24,-55
+p=42,10 v=-98,28
+p=76,50 v=-55,-54
+p=83,24 v=65,-70
+p=13,15 v=-85,64
+p=2,53 v=-43,-59
+p=8,88 v=-24,34
+p=100,50 v=33,-20
+p=24,83 v=17,54
+p=18,71 v=52,38
+p=93,21 v=-33,-18
+p=8,78 v=-19,-7
+p=23,31 v=61,-46
+p=76,60 v=47,46
+p=51,26 v=-53,32
+p=32,54 v=-76,33
+p=66,65 v=-42,62
+p=19,3 v=78,-23
+p=96,46 v=88,-76
+p=53,44 v=12,-13
+p=64,56 v=-30,64
+p=41,52 v=35,-24
+p=49,9 v=-28,35
+p=77,18 v=9,-43
+p=57,3 v=97,-97
+p=81,57 v=-23,27
+p=13,73 v=-22,-90
+p=97,76 v=-46,-49
+p=63,43 v=-80,99
+p=90,96 v=-37,-92
+p=89,33 v=82,-42
+p=79,64 v=-19,-58
+p=64,65 v=59,-90
+p=84,54 v=17,24
+p=95,42 v=18,-13
+p=90,43 v=-36,-62
+p=83,2 v=32,-97
+p=34,69 v=-38,-78
+p=91,17 v=18,31
+p=42,82 v=74,-94
+p=1,33 v=-72,-42
+p=97,82 v=-20,-94
+p=83,83 v=-23,40
+p=56,22 v=85,-22
+p=50,42 v=25,-70
+p=32,1 v=88,-60
+p=63,71 v=-3,-33
+p=49,85 v=-67,59
+p=18,8 v=-23,39
+p=24,60 v=-76,-87
+p=34,100 v=-88,-85
+p=84,84 v=44,79
+p=16,101 v=53,-64
+p=44,33 v=88,-25
+p=52,22 v=-43,-35
+p=30,63 v=-23,-86
+p=14,40 v=65,-50
+p=56,98 v=-41,88
+p=42,11 v=-14,-72
+p=72,9 v=-4,-72
+p=26,71 v=-47,-62
+p=92,18 v=-71,15
+p=81,40 v=59,7
+p=79,69 v=16,64
+p=4,40 v=24,-83
+p=17,78 v=65,-32
+p=87,85 v=81,-36
+p=98,27 v=42,42
+p=100,55 v=72,95
+p=94,12 v=-80,61
+p=73,34 v=96,-38
+p=32,30 v=-63,-38
+p=45,37 v=-27,-75
+p=6,0 v=-72,-68
+p=24,58 v=39,41
+p=25,74 v=-26,-15
+p=99,82 v=80,64
+p=88,54 v=-94,-21
+p=100,81 v=29,-28
+p=84,87 v=56,6
+p=71,17 v=-95,-96
+p=37,89 v=-9,-18
+p=42,30 v=-78,-59
+p=92,17 v=-68,14
+p=31,55 v=88,66
+p=28,10 v=-13,-62
+p=30,30 v=29,60
+p=89,80 v=8,-42
+p=23,75 v=41,-44
+p=65,78 v=-55,42
+p=1,80 v=-9,19
+p=54,78 v=36,83
+p=10,40 v=66,-95
+p=67,71 v=8,58
+p=23,17 v=12,69
+p=36,70 v=76,21
+p=7,63 v=-60,-65
+p=39,96 v=87,41
+p=8,56 v=-34,-90
+p=64,66 v=9,79
+p=2,61 v=4,17
+p=64,51 v=28,-6
+p=91,25 v=-41,69
+p=92,3 v=-85,47
+p=61,41 v=-90,57
+p=86,61 v=-69,70
+p=82,45 v=7,-13
+p=23,39 v=-78,-40
+p=58,3 v=-30,15
+p=87,30 v=87,-25
+p=21,84 v=39,34
+p=36,26 v=89,-59
+p=90,51 v=-83,-91
+p=5,39 v=79,-87
+p=5,63 v=66,-74
+p=71,45 v=21,-21
+p=49,40 v=-68,-66
+p=68,93 v=96,96
+p=67,96 v=46,51
+p=72,44 v=-32,82
+p=15,90 v=15,2
+p=26,78 v=28,-44
+p=7,3 v=-87,-39
+p=74,101 v=94,-76
+p=90,20 v=-6,-46
+p=22,17 v=-68,-63
+p=12,81 v=-37,14
+p=37,84 v=-15,22
+p=75,31 v=83,-63
+p=48,2 v=-90,-27
+p=44,94 v=-63,31
+p=73,71 v=-50,22
+p=22,101 v=39,51
+p=49,94 v=-90,26
+p=93,67 v=5,-12
+p=57,83 v=-68,80
+p=86,82 v=44,-32
+p=3,64 v=87,-62
+p=43,87 v=-20,-57
+p=40,18 v=-8,-56
+p=80,46 v=-89,57
+p=79,26 v=-18,27
+p=3,27 v=-98,77
+p=99,44 v=42,-99
+p=25,27 v=-72,23
+p=98,24 v=43,85
+p=54,93 v=-28,-60
+p=29,4 v=86,80
+p=42,96 v=-75,14
+p=75,77 v=54,81
+p=96,63 v=-46,-33
+p=51,94 v=88,-69
+p=31,88 v=51,39
+p=75,15 v=-43,-84
+p=8,18 v=93,63
+p=20,65 v=99,30
+p=71,5 v=72,-98
+p=31,95 v=63,-19
+p=87,70 v=-68,71
+p=11,55 v=15,37
+p=63,36 v=10,36
+p=41,98 v=37,10
+p=27,78 v=26,-36
+p=53,93 v=30,18
+p=78,25 v=-58,-80
+p=21,100 v=-73,66
+p=36,33 v=25,11
+p=65,3 v=-92,-68
+p=46,22 v=-64,48
+p=49,87 v=-91,38
+p=82,37 v=6,16
+p=24,94 v=-30,-3
+p=14,94 v=94,37
+p=28,32 v=39,-1
+p=35,19 v=-68,-25
+p=3,51 v=-47,70
+p=12,6 v=-29,-28
+p=28,19 v=15,2
+p=75,45 v=95,-67
+p=76,4 v=7,-93
+p=45,29 v=-63,-37
+p=41,22 v=-64,93
+p=67,45 v=10,-36
+p=51,1 v=21,-74
+p=25,84 v=1,-81
+p=15,36 v=-47,-29
+p=44,98 v=24,-81
+p=79,30 v=45,94
+p=45,57 v=12,-57
+p=12,23 v=65,78
+p=65,76 v=-68,17
+p=100,100 v=79,23
+p=75,22 v=58,-84
+p=82,65 v=69,-74
+p=76,6 v=-61,-61
+p=61,38 v=27,53
+p=68,94 v=86,37
+p=64,71 v=6,-88
+p=21,93 v=-53,-65
+p=32,86 v=64,-98
+p=11,11 v=-95,-95
+p=36,32 v=-38,65
+p=23,95 v=91,-65
+p=31,33 v=12,-34
+p=12,5 v=-99,-72
+p=50,3 v=-91,-93
+p=74,66 v=33,13
+p=22,7 v=-12,-97
+p=11,6 v=41,-43
+p=14,16 v=-21,60
+p=95,76 v=81,-61
+p=3,55 v=79,99
+p=43,97 v=-1,-60
+p=73,66 v=31,-33
+p=60,33 v=73,-57
+p=63,57 v=71,-95
+p=86,11 v=-20,-80
+p=50,28 v=86,-34
+p=66,5 v=-80,45
+p=96,87 v=67,6
+p=52,16 v=-53,40
+p=31,31 v=38,32
+p=96,23 v=-34,-72
+p=46,64 v=-91,45
+p=14,19 v=-73,60
+p=31,85 v=12,-32
+p=19,36 v=-36,-46
+p=39,21 v=-52,15
+p=98,34 v=-10,81
+p=96,65 v=-9,1
+p=97,75 v=-21,34
+p=22,0 v=64,2
+p=8,15 v=-24,36
+p=67,1 v=61,-89
+p=64,76 v=70,34
+p=22,29 v=-74,-54
+p=73,48 v=-41,-75
+p=83,7 v=-82,-72
+p=57,6 v=-66,-93
+p=31,21 v=-50,81
+p=90,21 v=-56,-35
+p=79,73 v=54,77
+p=62,64 v=60,29
+p=51,70 v=-96,-6
+p=35,71 v=75,-33
+p=9,56 v=53,-58
+p=63,48 v=-94,49
+p=61,72 v=82,55
+p=51,79 v=-66,5
+p=2,62 v=46,-46
+p=56,2 v=10,-64
+p=42,74 v=-64,75
+p=0,83 v=17,-61
+p=3,59 v=-97,33
+p=40,82 v=-15,47
+p=89,8 v=94,19
+p=76,26 v=-95,-23
+p=4,86 v=79,76
+p=4,32 v=-77,31
+p=35,38 v=-9,-59
+p=78,87 v=72,-57
+p=72,72 v=-72,67
+p=94,33 v=-2,-93
+p=59,96 v=37,-19
+p=90,24 v=-83,-1
+p=88,61 v=69,50
+p=67,28 v=35,-66
+p=40,63 v=75,29
+p=84,27 v=-42,-91
+p=40,21 v=-31,-30
+p=1,50 v=-34,-95
+p=87,59 v=96,-94
+p=36,19 v=-78,-68
+p=5,43 v=-78,91
+p=27,49 v=91,-99
+p=61,85 v=11,14
+p=89,61 v=-83,-97
+p=31,78 v=-86,81
+p=76,69 v=33,-82
+p=74,28 v=-43,-71
+p=23,27 v=-35,86
+p=80,74 v=-33,-86
+p=99,10 v=43,-10
+p=59,55 v=-41,-95
+p=89,94 v=58,43
+p=72,87 v=7,67
+p=68,73 v=-29,-57
+p=1,46 v=80,41
+p=45,33 v=36,-38
+p=24,4 v=46,21
+p=18,94 v=-35,5
+p=82,45 v=53,74
+p=93,75 v=-83,-86
+p=14,3 v=51,-80
+p=74,30 v=-30,-96
+p=70,38 v=-29,-34
+p=55,76 v=-94,-13
+p=11,82 v=-10,38
+p=11,55 v=-35,-4
+p=93,76 v=6,-57
+p=17,57 v=-80,-42
+p=47,82 v=18,94
+p=84,70 v=-84,1
+p=48,94 v=-90,6
+p=95,41 v=-51,57
+p=18,53 v=55,-84
+p=100,20 v=-20,-56
+p=49,26 v=-17,34
+p=31,62 v=92,-86
+p=69,2 v=-81,82
+p=76,43 v=-71,97
+p=23,15 v=-62,97
+p=26,23 v=-87,40
+p=67,48 v=34,16
+p=64,11 v=-54,85
+p=85,58 v=8,-49
+p=80,25 v=57,-6
+p=45,35 v=49,-9
+p=96,65 v=-20,-25
+p=91,49 v=68,16
+p=8,62 v=29,33
+p=97,50 v=69,-85
+p=52,53 v=-2,70
+p=70,68 v=44,83
+p=65,7 v=-17,39
+p=45,14 v=-87,-34
+p=94,47 v=-93,-46
+p=29,84 v=70,11
+p=70,73 v=-23,-6
+p=100,51 v=45,18
+p=21,2 v=-13,-19
+p=67,32 v=-95,-82
+p=61,2 v=-54,64
+p=17,12 v=65,35
+p=67,54 v=-74,-89
+p=2,6 v=5,-92
+p=26,77 v=-12,-28
+p=39,77 v=12,-86
+p=70,57 v=84,-83
+p=8,88 v=-60,13
+p=19,37 v=-38,-89
+p=0,14 v=6,-2
+p=24,59 v=-24,-82
+p=5,13 v=-11,-47
+p=21,27 v=88,23
+p=89,75 v=-20,83
+p=68,66 v=19,1
+p=34,72 v=-74,25
+p=27,70 v=14,-90
+p=89,9 v=-44,2
+p=5,67 v=-61,-36
+p=52,13 v=-53,-84
+p=50,21 v=-90,-9
+p=21,16 v=2,64
+p=69,21 v=-18,-88
+p=64,85 v=-80,34
+p=31,70 v=50,95
+p=15,8 v=-23,52
+p=97,52 v=28,41
+p=85,6 v=8,-15
+p=9,33 v=-74,52
+p=46,59 v=90,96
+p=71,50 v=-93,98
+p=15,74 v=-24,-82
+p=54,87 v=-15,-36
+p=37,25 v=-15,7
+p=92,13 v=86,78
+p=90,14 v=20,-68
+p=68,37 v=-5,4
+p=58,56 v=48,-99
+p=27,16 v=-36,-32
+p=4,49 v=-58,65
+p=5,50 v=-60,98
+p=13,31 v=-48,-91
+p=58,75 v=46,8
+p=66,88 v=-6,-98
+p=95,16 v=32,23
+p=86,21 v=-57,-55
+p=19,65 v=-32,-98
+p=83,57 v=-46,-95
+p=37,10 v=38,64
+p=87,33 v=46,8
+p=45,54 v=-53,-58
+p=35,95 v=-39,-7
+p=89,65 v=58,-45
+p=82,80 v=-82,-65
+p=35,7 v=25,76
+p=66,92 v=-16,-44
+p=75,89 v=-92,66
+p=48,84 v=98,42
+p=70,84 v=-30,-44
+p=49,51 v=-92,28
+p=27,85 v=62,-36
+p=31,21 v=3,-64
+p=61,101 v=-15,88
+p=56,44 v=90,68
+p=83,49 v=-95,-83
+p=69,38 v=8,-92
+p=34,13 v=-32,43
+p=0,51 v=-75,25
+p=39,36 v=76,69
+p=66,59 v=70,-96
+p=78,42 v=-31,-62
+p=5,5 v=-33,-22
+p=54,74 v=-12,44
+p=25,26 v=25,85
+p=74,88 v=-39,56
+p=65,83 v=33,-28
+p=87,90 v=95,30
+p=71,20 v=-29,93
+p=66,9 v=83,-96
+p=38,51 v=50,41
+p=66,87 v=44,46
+p=30,31 v=-49,-14
+p=70,32 v=73,28
+p=0,94 v=95,26
+p=87,80 v=-83,46
+p=92,70 v=-58,99
+p=48,67 v=-1,41
+p=43,74 v=49,34
+p=87,51 v=43,8
+p=23,63 v=39,-86
+p=2,77 v=48,7
+p=32,60 v=-63,-37
+p=99,3 v=-21,31
+p=82,55 v=57,8
+p=5,68 v=-46,-41
+p=32,77 v=-38,88
+p=84,0 v=6,-64
+p=20,95 v=52,26
+p=29,98 v=-16,83
+p=44,81 v=-27,-73
+p=43,40 v=-41,-42
+p=24,73 v=-88,-49
+p=99,45 v=-97,8
+p=37,9 v=-31,-57
+p=70,11 v=8,-39
+p=0,11 v=96,57
+p=83,70 v=70,75
+p=65,71 v=-40,-65
+p=82,66 v=73,-80
+p=31,41 v=52,-96
+p=19,72 v=65,75
+p=24,4 v=-86,54
+p=75,85 v=85,30
+p=2,83 v=17,-7
+p=9,87 v=-22,59
+p=24,3 v=-12,21
+p=5,74 v=-34,46
+p=22,90 v=-37,-11
+p=20,84 v=4,95
+p=95,10 v=-96,-55
+p=52,9 v=23,-14
+p=20,51 v=-63,-75
+p=64,27 v=24,48
+p=50,2 v=-90,-68
+p=54,47 v=23,70
+p=26,22 v=51,-51
+p=4,49 v=-72,-54
+p=53,47 v=2,-86
+p=21,29 v=-37,13
+p=37,70 v=38,-40
+p=6,41 v=43,-20
+p=88,23 v=-38,-68
+p=67,20 v=79,-71
+p=37,7 v=24,25
--- a/2024/d15/ex1/ex1.py
+++ b/2024/d15/ex1/ex1.py
@ -0,0 +1,103 @@
+#!/usr/bin/env python
+
+import copy
+import enum
+import sys
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+class Direction(enum.StrEnum):
+    UP = "^"
+    RIGHT = ">"
+    DOWN = "v"
+    LEFT = "<"
+
+    def step(self, p: Point) -> Point:
+        dx: int
+        dy: int
+
+        match self:
+            case Direction.UP:
+                dx, dy = -1, 0
+            case Direction.RIGHT:
+                dx, dy = 0, 1
+            case Direction.DOWN:
+                dx, dy = 1, 0
+            case Direction.LEFT:
+                dx, dy = 0, -1
+
+        return Point(p.x + dx, p.y + dy)
+
+
+class Object(enum.StrEnum):
+    BOX = "O"
+    WALL = "#"
+
+
+Maze = dict[Point, Object]
+
+
+def solve(input: str) -> int:
+    def parse_maze(input: list[str]) -> tuple[Point, Maze]:
+        robot: Point | None = None
+        maze: Maze = {}
+        for x, line in enumerate(input):
+            for y, c in enumerate(line):
+                if c == ".":
+                    continue
+                if c == "@":
+                    robot = Point(x, y)
+                    continue
+                maze[Point(x, y)] = Object(c)
+
+        assert robot is not None  # Sanity check
+        return robot, maze
+
+    def parse_directions(input: str) -> list[Direction]:
+        return [Direction(c) for c in input if c in Direction]
+
+    def parse(input: str) -> tuple[Point, Maze, list[Direction]]:
+        maze_input, directions_input = input.split("\n\n")
+        robot, maze = parse_maze(maze_input.splitlines())
+        directions = parse_directions(directions_input)
+        return robot, maze, directions
+
+    def step(robot: Point, maze: Maze, d: Direction) -> tuple[Point, Maze]:
+        # Maze a tentative step
+        new_robot = d.step(robot)
+        new_maze = copy.copy(maze)
+        # Try to move boxes along
+        if (blocker := new_robot) in new_maze:
+            # Try to move boxes up
+            while blocker in new_maze:
+                # We hit a wall, abort the movement
+                if new_maze[blocker] == Object.WALL:
+                    return robot, maze
+                # Otherwise look at the next space along
+                blocker = d.step(blocker)
+            # Out of the loop, we must have found an empty space, so do the push
+            new_maze[blocker] = new_maze.pop(new_robot)
+        # Robot moved without hitting a wall
+        return new_robot, new_maze
+
+    def compute_coordinates(maze: Maze) -> int:
+        return sum(100 * p.x + p.y for p, obj in maze.items() if obj == Object.BOX)
+
+    robot, maze, directions = parse(input)
+    for d in directions:
+        robot, maze = step(robot, maze, d)
+    return compute_coordinates(maze)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d15/ex1/input
+++ b/2024/d15/ex1/input
@ -0,0 +1,71 @@
+##################################################
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+##################################################
+
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--- a/2024/d15/ex2/ex2.py
+++ b/2024/d15/ex2/ex2.py
@ -0,0 +1,149 @@
+#!/usr/bin/env python
+
+import copy
+import enum
+import sys
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+class Direction(enum.StrEnum):
+    UP = "^"
+    RIGHT = ">"
+    DOWN = "v"
+    LEFT = "<"
+
+    def step(self, p: Point) -> Point:
+        dx: int
+        dy: int
+
+        match self:
+            case Direction.UP:
+                dx, dy = -1, 0
+            case Direction.RIGHT:
+                dx, dy = 0, 1
+            case Direction.DOWN:
+                dx, dy = 1, 0
+            case Direction.LEFT:
+                dx, dy = 0, -1
+
+        return Point(p.x + dx, p.y + dy)
+
+
+class Object(enum.StrEnum):
+    BOX = "O"
+    WALL = "#"
+
+
+# Maze always contains the left part of the object
+Maze = dict[Point, Object]
+# WideMaze maps left and right side of an object to its (left, right) tuple
+WideMaze = dict[Point, tuple[Point, Point]]
+
+
+def solve(input: str) -> int:
+    def parse_maze(input: list[str]) -> tuple[Point, Maze]:
+        robot: Point | None = None
+        maze: Maze = {}
+        for x, line in enumerate(input):
+            for y, c in enumerate(line):
+                if c == ".":
+                    continue
+                if c == "@":
+                    robot = Point(x, y * 2)
+                    continue
+                maze[Point(x, y * 2)] = Object(c)
+
+        assert robot is not None  # Sanity check
+        return robot, maze
+
+    def parse_directions(input: str) -> list[Direction]:
+        return [Direction(c) for c in input if c in Direction]
+
+    def parse(input: str) -> tuple[Point, Maze, list[Direction]]:
+        maze_input, directions_input = input.split("\n\n")
+        robot, maze = parse_maze(maze_input.splitlines())
+        directions = parse_directions(directions_input)
+        return robot, maze, directions
+
+    def step(robot: Point, maze: Maze, d: Direction) -> tuple[Point, Maze]:
+        def widen_maze() -> WideMaze:
+            res: WideMaze = {}
+            for p in maze.keys():
+                right_p = Point(p.x, p.y + 1)
+                res[p] = (p, right_p)
+                res[right_p] = (p, right_p)
+            return res
+
+        def boxes_along(wide_maze: WideMaze) -> set[Point] | None:
+            def helper(current: Point) -> set[Point] | None:
+                # Return empty set if we hit the air
+                if current not in wide_maze:
+                    return set()
+
+                # Query both sides of the object
+                left, right = wide_maze[current]
+
+                # Return None if we hit a wall
+                if maze[left] == Object.WALL:
+                    return None
+                assert right not in maze  # Sanity check
+
+                # Try to move both sides of the box recursively
+                res_left: set[Point] = set()
+                res_right: set[Point] = set()
+                # Only check next_left if not moving right
+                if (next_left := d.step(left)) != right:
+                    if (try_left := helper(next_left)) is None:
+                        return None
+                    res_left = try_left
+                # And only check next_right if not moving left
+                if (next_right := d.step(right)) != left:
+                    if (try_right := helper(next_right)) is None:
+                        return None
+                    res_right = try_right
+
+                # Both sides succeeded, return the set of boxes to move
+                return {left} | res_left | res_right
+
+            return helper(d.step(robot))
+
+        def move_boxes(boxes: set[Point]) -> Maze:
+            new_maze = copy.copy(maze)
+            # Do the move in two steps to avoid overwriting any values during movement
+            for box in boxes:
+                new_maze.pop(box)
+            for box in boxes:
+                new_maze[d.step(box)] = maze[box]
+            return new_maze
+
+        new_robot = d.step(robot)
+        # If we hit a wall, abort the step
+        if maze.get(new_robot) == Object.WALL:
+            return robot, maze
+        # If a box hits a wall, abort the step
+        if (boxes := boxes_along(widen_maze())) is None:
+            return robot, maze
+        # Otherwise move everything along the direction
+        return new_robot, move_boxes(boxes)
+
+    def compute_coordinates(maze: Maze) -> int:
+        return sum(100 * p.x + p.y for p, obj in maze.items() if obj == Object.BOX)
+
+    robot, maze, directions = parse(input)
+    for d in directions:
+        robot, maze = step(robot, maze, d)
+    return compute_coordinates(maze)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d15/ex2/input
+++ b/2024/d15/ex2/input
@ -0,0 +1,71 @@
+##################################################
+#......O.O..O......O......O..OO...O..O.O.O..O..O.#
+#....O.O..#.O....O#.#.#......O.O#O.O#O#..O.O.....#
+#.........O..#O......O...OO..O..O..O#....O.......#
+#.O.O......O#.#..#.#.........O...OOO.O..O..O....O#
+#..O......O.......O..O.#O......OO.O.O#..O.OO..O..#
+#O.O.....O.O......O....O..OO...#.#...O##OO#O.....#
+#O..O....OOOO...#.O.O.O#.....##.....O#.##..O.....#
+#O..O.O....O.#..O.O.OO#O.#..#.O....O..O.#.....O..#
+##..OOOO..O..#O.#.O....O...............OO.....O..#
+#O.O#.........OO..O..#..O.....O..O...O#.....O....#
+#..#O#O#...#....O...OOOO..O.....#O.......O.......#
+#..........O...O.....#OOOO#O..#..O..#O.........O.#
+##..O.OO.O......#...#OOO.OO..O.O.O.OO#.#OO..O.OO.#
+#....O.O..OO.O.OOO..OO...O...O..O.O.O....O...O...#
+#O..#OO.........O#......OOO....O.....O.OO.#.O.##.#
+#.O.OOO.....O....O...#O.O.O.#.O.O..........O...OO#
+#.OO.OO...O...O..#........O.O...O.O...#OO.O....O.#
+#OO...O.OO.#O.....OOO.#O#.O.#......OO.....OO#..O.#
+#..O......O.....#...#O.....O.....OOO.....O.#OO...#
+#.....#O..O..#...OOO.#O.O..O.O#...#OO.O......O..##
+#..OO.OOO#.O.....OO..#.OO......OO.O....O...O.....#
+#.O.OO..............#..O.....O.O...OO.....#.O#...#
+#......OO.....OOO.O..O#OO...OO..O#..O..O.OO......#
+#.#O....O....O..#O..O..O@..#..#...#......O.......#
+#.#..O.O.OO...O.O#....O..#..O...OOOOO...#.OOO#...#
+##O..O.O....#O....OO#O.#O......O.....O..O...#O...#
+#...O...........O.#O..O.#...#.O.O.O...........#.##
+#O#O.......O..O.....OO.#O.O.#OOOO#.O.O.O.O.......#
+##O.O..OO...#.O..#.O.O..OOO.O.O#.....O.O..#.O.O.O#
+#..OO...O..#O.O.#.OOO.....OO........#..OO.#...O.##
+#O.#.#..#.O.O...O..O.#O..O.O.OO......O.OO.O...O.##
+#.O.OO...OO.........#....O.OO.OO..O#O.#O........##
+#.......O.......OO#...#....#.OOO#.#........#.O...#
+#...O.O.#.O.O.........OOO.O.O...O....O....#...O#.#
+#....O.O.......#.......#..O##.O.O.....O...O.O...O#
+#.O.O.O..O#.O.O...##O#O...O.....#OO#O.O....O..O..#
+#O.O.O.#..O...O.O.......#.OO..#..........O...O.O.#
+#...O...O.....O....##......#..OO....##.O..OO.....#
+#..OO..O..O..OOO.....#O..OO.O.OOOO.#.O...O.#.....#
+#...O...O.O.O...O.#O.#.O...O#.#......O..OO..O.##O#
+#...O.O#......OO.#.O.....OO..O.......#...#.O...#.#
+##OO..#O.....OO..............#...O#..O#......OOO.#
+##OOOO..O.#..O.O....O....O..O#.O#....O....O.O....#
+#.....#......O...OOO.O........O....#O.OO.....OO.O#
+#O.#....OO#....OO.O....#O#........#.#.OO.#.O...OO#
+#.O.....O.OO.....OO...#O..OOO.O...OO....O.O##O...#
+##O..OO.OO..#..O.O.O.##O......O..#....OOO....OO..#
+#O..O....O.........OO#.#......OO...##.O.......O..#
+##################################################
+
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+^<><v^<vv^vv^vv^<v>^vv<>vvv<^<vv<<><^<vv^<<><>v^v^^vv^v>>v^v><<^^>v<><<^<>vv^<<^vvv>v^<^>^<^>^^><^vv>v^>v<>^vv^<^><v^^v<^^>v<>>v<^^><<>>><vv>v^^^v<<>v<<<v^v^^>v><<vvv>^<<^<<^>^v<v><v^v<>v^^v^v<><<<^<<^vv^v^<<<^vv>^<^<vv<v><<v<vv>v<<<v>>><v^<><^>v>^^^v<<<>>><^>v<v<<<^<<^^^>^^^<v>>>v^^<^v^^><>^<v^>v>v<^vvv^><>><^^^v><^<v>><>>v<^v^^<>>vv<<<>>>^^^^>>^^^>v>^><<>v>v<><^v^vvvvv><>vvv>^v><v>v>vvv>>vv<^<v>v>v^^v^>>^<<vvvv<vvv>>v<^<<<>v<><>^^v^<v<v<>>v<<<>>^v>^^<^>>v<^v^>v>^>>^vv><v>vvv<^>^^vv^^<>vv<><<v>^vv^>v><>v>^>v^<v<<v^<^v^v^vv^>^v>^v<^vv<>v^><^^><<^>^vv<vv><>vv<<<<<^vvv>^>^<vv^<><^v>vv><^>vvv>vvv>^vv^<^<><^^^<<<<vv>^<<<<<v^>>^<^<>>^<>>>v<<^^>vvv^^<<<><<<><>v^vv^<<vv^>>v><><<^<<^^<<^^>><v^>^v^vv<>>vvv^vvv<^<v><v>>v<<>>^v><v^v<><>><>v>^^>>>><<<>v<<>v^v>vv>><v<>^^^<>^^v<<^>>v<vv><v<v^v<^<>>vv>v<v<v<><>>v^v>^<^^^v<v^<vv<>^v>^>>>^^^<^>vv^>^^<>><^<>><>^><<^^^v<^^<<v<>^^<v^v<v<>^v<v<v>v^<<^>^<v>^><v^vv<<v>v><v<v>^<v<<^^^^v<^<^<vv<><v<><<vv><^^^<<>>vvv><^>>v<>vvv<v>v><<v^^^>^>^<<<v^>><v^>^<^^<v^>
+vv^<^^v>^<<^v>vvv<v<v^v^><<<v>^>^vvv>v>>>^<>^vvvvvvvv^<<>^>><v^^>v><v<>v^v><>>>>v><vv>^v<><vvv^vv^><>vv><<>>>v<v<<>vv>^v^>>^vv>vv^><^<><v^^v<v>v>^^>v>>>>v>v>^v^<>v>>v^><>>^<<>v><^^v>^^^vv^<^>^>>v^<^v>^v><>^<^^^^<>vv^^v^^^>^^><vv^^vv>^vv^<>>^<<>^v<v<<^vv<<>^^<^><>v<>^^v^^>vv<<v<>^<v>^<^^<>^><vv<><<>vv^^v^><>vv<<^^>>v>vv>^vv<v<<v<v>>^<^^<v^<^>^><>v>v>v>>>^v<>^^<^>v<v>>^v>>^v>>^^^v>^vvv^^v<>^<>^<^v<^<v>vv^<^<<^v><^vv><^^>vvvv<<<<>^>^>>^v>>><>><<v^^vv^^vv^<><>^>v^>^<^><<v^v<<^>><vv<><v>v^<vv^><^^^>v^><^^^<v<v>v^<>><<v>^<<^>v^<v^>^>>^vvv>>>v^v^<v>^<v<><<<>^v^^<v^vvv^^^>vv^v<^<v>v<vv^>^<<^^v^v^<v>vv><<>>v^<<vv>>>v^<>v^<>v<v<>^<>^v<>>^>>^<^v^>v^>^v<^^v<<v>>><>v>v<v^v>^^v^<^v^<>^^>>>v><>v<<<<^v>v>>^^<^>^<^<v<^<^>>^^>^<>v^><<^^v^<vv^><><><<^v<>v<><><vv^<>>^><>>vvv^<^^^^>^v<>v<^v<v><v><>><^<<<><>^^<>>^vv>>>v><^<^>><v^^>v><<><^><v<^v><>vv^v^^^^<^v<v>>^>>vv>v>>^^v<vvv^>^>v^>^<>v^vvv^^^<^vv^v^v>>vv^><^<^>>vv<^<vvv^>v^<<v><v<>^^vvvv>v>^^v^>>vv^^^<^>v<<<>^>v<>v^vv^><v^^>vv<>v>v^v>><^<><>v>>v>>^><v<^<
+v<vvvv<^>>v^v^>^<>>><v><><>v<^^v>v<>vv>^<><>^^v><<^v<>^<^>>^<>><<v>v^<>v>^<v>v<v<v<<>^<^v>>v<>^^<^<<^v<<>vv>v<<^<v>^v><v^^v>^^<^>>>v^<v^^v<^v<<v>v<v^<^^v<vvv>^><>v>^<v<<>^<vvv<vvvv^>^v>vv^^^><^>v>v<<^vv^<^^>^^vv^v<<^<<>>^>^v^v<v><><^v>v^v^<<^<v>^^<>^<^>^><><<>^>^^v^v<<><>v<>v^v>v<^<>^vv^^^vvv<v^>>>vvv>>v^>>>^^<^^><<>^v<>>^<^v^<><><vv^>^>^<^^>v>>^^v^vv^>>vv^^v><<v>><v<<<<>v<<<>>v<v^^v^^^^v>^vv>><>^>>>>><v<>>v<v^<vv<v>><<<^v>>>vv>v^<^<<^<v^>v^<>^^^<>>v<v<v<><>v>v<><>v<<v><^<>v^><>^vv<v^^<<<>^>>vv^^>^^<^<><vv<><^^><v<^v<>^>>><>^><vvv><^<<v^<>v^v<><<<^^>><<><v^<^vvv^v>><^^^><v^vvv>^v><^<<v^>^>v<v>>vv>^<^vv<<>v^<v>>^^^>^<<<^<v^>^^v<vvv^^>^<<^>><><v^vvv><><^^<<^<>^<>^v^v<<>^>^>>vv<v>>v>>v<vv<vv<v<^<v^v<<<^^>^v<<><>v^>vv<<vv^^^<>><v>^v>v<<vv<<^v^<^^^vv><vv^^^^^^vv<<>^v^vv>>><>^<>><<>>v>v^>>v>>v<<>v>^^v^^^<^v^^v>v>^>>v>><<v><^>><^<^>^>^<v^v^<<^>^v^<>^>v<>>^<>vv>v^<v<<vv><<v^v<<><<><vv><^>>v^><^v>^><<^>>><>>^<v><v^>v>v>>>>>vv<vvv<<>v>^^>v^^>v<v>^<^^<^>>^^>v><<v<<>^><^^><v>^^>>v<><^>v<v<><<>^v>v
+>vv>>>>v><<^v>^^vvvvv><^v<>^<<>^^<^vv^>^<^^<>^vv<<^<v>^v<^<><<v><<^<v<<<v<<vv^v<v^>^v<>><<^<<><<<>^vv<v><v<>^<^><>vv>v^v<v><^v<vv>^>^^^v>^^<<^v>v>^<<^^^v<v>v^<<^<<<>>>^>^v><<>v>^<^<<^vv>><<^<^^><<>^v<^^><vv^>><v><<v^v<<<><v>^<^<vv^>v<>>^vvv^^v>^v^^v>^>^^^^<>><vv>vv>>>vv<<^vv<>>><v><<^^<><<<>>^^^v>^v>v<^<^v^^<<^<^vv<<<<<<vv<^>v^vv^>v>v^<^^<vv<>^><v^^^v^>^><<^<^>^<<^<<>><v>^<^>^^><^v^^^^v>>v<>^^<><^<^^><>vv>>><vv<^<>^v>>vv>^^><vvv>v<>^>>>>>><<<^<>>^<^>^<^<v>v^v^^v^^^>>^<<>v>>v>>>v^<<v^><v>^>v>v>^>vvv<<<>v<^<>v<>>>^<v><<^<v><v>>vv>>><^v^<<<<<^v<^^vv>^vvv<^v>v^^<^^v>>^<<<>^>>^^>^>>>>^v>v^<^^><>v<<<<^<v>v>^>^>>v><<^^^>v>><vv>^><>>^vv^^^<^<>v^^<>^v>^<>>^^v^>^^^v<><v^>>^><<>^^>>v<>>^<>vvvv>>>^vvv>^vv><><>v^v<v<^vv^v<>>v>>vv><<<>vv<^v>v>^v><v^<<^^^^v<^<>^<><v>^>v<<^v^<v<^<vv>v^^v>^<<<>^v<v<^v^<v^<^^v^^>>v>v>v>^^v<<v>^v>v^>^<v>>^^<>^>^><^<><>^>v>^>><^^^vv^<><<<<^>>>><^^^>vv><^<>>><<v><^v>v<<^v^vv>><>v<><^v>v^v>><v<^^^^>^>v>v<>^^<>vv>>v><<>v>><^<^v<<^>vvvv<<v<<^^<v<^^<>>^v<>^^v<>^^>v<<<>>^^>vvv<
+>^v^v^>>vv><<^<>v>v^v^><<<>v<<^v<v<>v^^<^>^>^vv<<>v^>>^>v<^>^v>^<>v>v^><v><>>^<v<^>>v^<v^v^^^^v<<^>>>^>>><>v^v^>^>>vv^<^>v<>>v^^>>^><<<<^>>v><<<vvv>><^v^^><>v>vv^>v<<<<^^>>>><^>^>>>>^v<<><^^v^<v><^>>>>^>>v><^<><>>>>v><v>v>>>>v^^<v>>^v<<v<<>>^<v^<>>>^<<>>v>^><>v^^>^<<><^<>>>>v<vv^^v^v>^v^v>^><^<^v^v<^v^^>^^>><v><^>^>^>>^^>>^<>vv>><>v><^>>v<<^><<^<^>v^<v>vv>v^v^^>^>>v><^<>v^><>>>^^v>v^^>>>^v<><<<<<^v^><^>>^^vv^>><^<v>v><<v^><^>^>v<^^v^vv<<^>^<>^<v><v>v^vv^<>v<vv^vv>v>^><v>>vv>>^^>^<v<<v<<^^vvv<v<v<<<<<v>^^<>^v^><v>vv>^^^v^<<>^><v<<<<>^><vv^vvv^<<^vv><v^^<<<^<>><v<<^>vv>^^>v<<v>vvvv^<<<<<v>^^>^<>v><^<>v^>^<<>v^>><>>>^^<v>^<>v^>>>^^>><^<v><^<<>^<<<v>v^><<^v<v<><v^<^<><v^^<v^vv^>v^<v<v^><><<vv<>^v<<<^vv<>v^>^^v>><<<v<><vv><<v>^<v^^<>^<>vv<<v<<<><v><<v^^<v^><>^^^^v^vv^<>v>>>>v<>>><v>v>v>^>v^v>vvv^<<<>^^v>vv<v<v<><<>>^<>v<vv>>>^<<>^<v^>><v<v^vv>^^<<^v^v<<<<<<^>^^<<>v<<><<<^v><<<v^<^<v^><v<>>><>^><^<><vvv^v>v<^v><v>>vv<<>v^v<<^<^>^>^v<v<<v<v>><v^<^<^v>v<<<>^>^<>^<v^<v^v^v>^^^v^vv^v>^>vv><^<<>>
+^v><>v<^^^<>>>><>>>^v<vv<<^^<><<^<^>v>>^<<v>><v<<>><^>>v^v^^>v^>v^><^<vv^>><v<>v>vvv<<>v><^vvv>^^vv^<^>><v<>^vvv>^^^>^v^^vv^v^<>^^<>^<v>^^<<v>><<^^<<^<<<>^>v<v^<>>^>^v^^<>^><vvv^<vv<>v<^<vv><^^v<<<vv>^^^>v^^<v^^>v>><<<^<<><<<><><vv^v>>^^>^<<>>><<^>vv><v>^vv^<>^>><>^^<><><<><>^^<><^<>v>^^<<v>v^<<>>v>^>^^>vv^^v<^vv><<vv^^^^^<<<<v<^<<>v^^v^<v>v><<<<<>>v^>^>><<>^^><>v>>v^<^^^^>>v><<v>>^v<<v><vv>>v^<<^>>><^<^v<>vvv<<vv<^<v^v>v<v<<v^^v><<>v<v<>^<>><^>^^^>^v^<<>v^v^^>>v>^v>v<><<^>v^<><<<v^>>>>>vvv^v<>^^>^^^<vvv<vv^^>v<v><v<vv^><^v>>v<v^^>^vvv^^>>vvvv^><^vv^^vvv<<>>^>v^v^v><^^^^vv^^><^<<><<<<v><<^v<^<>>^^vv<><^^><v^<^><^>v^^^<^^>>vv^^>><v<<^<>>><v<^<<v<v>v>>^>>>>><v>v<><^^>^<v<^^vv><<<^<><v^<^v^^v<<<v<<<vvv>><>>>vvvv^<^^v<v^v^vv^v^<v^<<>v>><^^^v><^v^<v^^><vv^<><^^<^<<<<vvv<v><>>>v^<v>v>vvv>><vv>^>^<^><^v>vvv^v><><>>><^<v<v<<<>v<v<<v^>^<v^v<vvvvv>>^><v>>v>>>>vv^<vvv^v^v>>v>v^><<>v^vv^><^>^<vv^v<<v><vv<<^v<>^><v^<^>v>vv^<^vv<v^>^<vv<v^><^>vvv<v^<^<>^v<v^^>><^^<vv^>>vv><^>>^><>>v><>><<<^>>v>^^<<^
+>>^vv>^>^><>>>v>^><^<><>><<<<><<^<^<v^v^v>>>><><vv>>^<>v<v^>v<<^>>v^v>^>^>v<^v>>v<vv^vvv<<^^^<^v<vv<>>^^><<><<^v><^^v>><v>^<v<><^>>v><v^v<^<v^>>v>>>^v<^v><<>v>^<^^^<^vv><<<><>^v^v^^>^v>>v<v<^<<v^^><<^vv>v>^vv<^>v<><<^<<^<^^v^<vv>^<>vv<^>>^^^<^v><>vv^>vv^^vvvv^>v>^v>^<><v^^>v<><vv^><>^>v<>><v<<>^^>^<>vv<>^vvv>><^^v<>>^<v<v^>>v^>>>vvv<<vv^^^^>>^^<<>vv<<>>>v<>v>v^^v<vvv<><><<<^v^>^v^^^v>>v^>v>^v<>v^><>^><v^vv<^<^v^^v<><vv<<^^><v>>^<>^<v>v<<v^^v<v><<>^><>>><><><<>^^<^>vvvv<<v<^<^v><^<<>>vvv^^vvvv>vv<<v<>^^<><<><>^<^v<^v>^^<><>>v><^>><v<v>v>>vv<<v<v<vv>^v^<>>^v^<><<<vv^^>v^<<v^v<^v^>><vv><>^^>><<^>><<v>^<>^>v<^^^vv^<<<<^vv>><vv^><^><^<^^<><v<<^>^^><v>^>^vv><vv><^v>v<vv>^><v^<vv>>vv^v>v>><v^^><^<vvv<v^^<<v^>^<^^^vvv<^>^>^><^^<v^<>v^vvv>^<<v<^^v>v>>>><>vv<>^v<<v>>^<^<<<<^v>^^>>vv>>v>v<vv^><^^v<<<v<<<<^>v^<^v<^^^><^v>^><v^^<^<>>>v^^<^v^<v<^^>vvv>^<<^v<>>^v<<^^v^<v<v<<v^v^<<>v>^^^<v>>^>>^^>>v^>v><>vv^<v<vv^v<vv^^vv>^^>>v<^>>v>v^<>>v^^v>>>v<<>vvvvv>><><>^^<<v>^<>v^^^<><^>><^^v^v^^<^<v><><<<v><<>
+vv>>^v<v<^v<<<<^v<>v<<^v^<vv><>>v<<><v<<><<^vvvv<<^<<v<>v<v>>^^>^<<^v<^v<^<>v><<vv^<vv<v^>v><<>vv^v><vv<<<>><^<v<<><<>v>>v><>>^^<>>>^<>v><><>v^<v>v>>^v>v>^<>><>^^<<^v><>^<^><^>>v^^<^<v^<>^^v>>v<^v><v^>^>vvv>v<<vvv^<v<v>v>v>^^vv<<>v>><^v^v^^v<^vv<<><>>>^^^v>v^^^>v^<><^<>^><v>><<>v^>^>v>><v>v>><^v^v<<>^v<>>v^v^v^^v^^>>v>^<^>>><^v^<<^>^>^>>v>>^>vvvv>>>^^^<<vv>^v<v<^^<v<<>^v>^<^>>v<><<v>v><v>v^<><^<<^v^<^<<^^v>^<v<<>v>v^<><^v^^>><>^<^^><<v^^^v^>>>v>vv^v^v<<<>^v<>^^vv<>^v><^vv<^vv^<<<^<<^^><<><<>^v^<v>v<vv^^^^>vv^^>^<<v<><^>^<<<v<><vv><^v<<>>v>>>><^^>^>^>>>>^<vv>^^v^^>v<^^<^vv>>^^^^vv<^>v<><vv<^^v><<><><^v^><^^>>^^>vv><v^<>v^v>v>^<<v><<^v^v>v>^<v^>><v^<<^<>>^^>>><vv<vv<<>>v<<^<^>><v<v>v><>v^<v^v>^vv>>><^^>>v^^>^>^<^>^v<v<^^>v>v<<vv>>^<>v>v^<v^<<vvv>^^<>vv>>^^>>><<^v<<v>vvv><v>^>v^vvvv^>>^<^<>v<vv>^<v^><<<v^v^>vv><>^<<vv^>>^>>^^v<><v<v^>>v^^v^><^><v^>^^v<^>^v^>^<>>^^>vv^vv<^^v<<<<^<vv<<<^vv>^^<vv^<v<v^><^>v>v^<<>^<^^^^^v>^^>^>vv>>v><^v^^>v<^>v^>><v<<v^>^>>^^v><>>^><<v<>v<><^^v>^v>^>v<v<^v<>^
+>^vv>^<vvvv>v<><<vv>><vv<>v^<<>>v>v<^><>^v<><>>^<<<v>^>vvvvv^>vv^^<>><^<>v>^^><v<>^<>>vv^vv^^v^>vv^<v>v^>>vv>>v^><<<>>^<<^>vv>v>^<>>>^^<v^^>><v^v<v^><<v>^v<>>^vv<>v<vv>^^>>><^<^^>>>vvv><><vv<v>v^<^^<^><>>^<<><<>>v>v^^^><^>v<<>^^<<vv<>>>v>>v^v<<><<^v^^<<vvv^v^^<>v><<^v>>^v<>^^^^v>^>>^>>v^>^>>v>>><^><<^v><>><><v^<v<<>><^v<^>vv<v^<>v^<<^><<<^^>>v<^>>v>>v>>>^<v^v<v<<>v>^><<vv>vv><^>v>^v<v^v><^<^vv^<vv<^^v>^^v^v<v<>>>>>^v>>^>^>v<>^>^<v^<>>^^v>v<>^<><^^<v<v^><<^v>v><>v>^>^<>><>>^>v^<v>v<<<>^><^v<><v>^^^^v<><^^v^^<^v>^<<v^>^>><^v><><<^^^v>><^^<<^>^vv<<^<>>v<<>>><v>>>^<<v<<><v<^v<v^v<>>^>v<<v^<><<>v<^v^<vv>><vvv>v<^^<<^v<<^v><>^vv>v<><v^><v<^^<<<>v<<<^^v^><^^^^<^^v<<^<>v><>>v<vv<vv<v^v<<>><v^v>^v<><v<><v>v><>><^>^^^<v<<^^>>v<<<<v<<^v^vv>>v^>vv<><<<^^><v>^^>^^v<^>^^^v<^^>>>^<^<>v<vv<<^^><^^v^vv<v<v^<^v<<v><^^^<v<>v<^<<v><^><><>v^v>>>^vv^<<^v<<><<<><^^^>>^<^v^v<<>v<v<^<^v^<<^<^>^v^v>v><^^>^>>^<<><v^><<^<<<>v^><>><^<v^v>>^<^<^v^<<<^>^<>^^<>>^<^v^v>v^><v^<>v^>>vv>>>^<>vv<><>^>>^><>>v><^>>>^><^v<vv
--- a/2024/d16/ex1/ex1.py
+++ b/2024/d16/ex1/ex1.py
@ -0,0 +1,118 @@
+#!/usr/bin/env python
+
+import enum
+import heapq
+import sys
+from collections.abc import Iterator
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+class ParsedMaze(NamedTuple):
+    start: Point
+    end: Point
+    blocks: set[Point]
+
+
+class Direction(enum.IntEnum):
+    EAST = enum.auto()
+    WEST = enum.auto()
+    NORTH = enum.auto()
+    SOUTH = enum.auto()
+
+    def rotations(self) -> tuple["Direction", "Direction"]:
+        match self:
+            case Direction.EAST | Direction.WEST:
+                return (Direction.NORTH, Direction.SOUTH)
+            case Direction.NORTH | Direction.SOUTH:
+                return (Direction.EAST, Direction.WEST)
+
+    def step(self, p: Point) -> Point:
+        dx: int
+        dy: int
+
+        match self:
+            case Direction.EAST:
+                dx, dy = 0, 1
+            case Direction.WEST:
+                dx, dy = 0, -1
+            case Direction.NORTH:
+                dx, dy = -1, 0
+            case Direction.SOUTH:
+                dx, dy = 1, 0
+
+        return Point(p.x + dx, p.y + dy)
+
+
+Node = tuple[Point, Direction]
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> ParsedMaze:
+        start: Point | None = None
+        end: Point | None = None
+        blocks: set[Point] = set()
+        for x, line in enumerate(input):
+            for y, c in enumerate(line):
+                if c == ".":
+                    continue
+                p = Point(x, y)
+                if c == "S":
+                    start = p
+                elif c == "E":
+                    end = p
+                elif c == "#":
+                    blocks.add(p)
+                else:
+                    assert False  # Sanity check
+        assert start is not None  # Sanity check
+        assert end is not None  # Sanity check
+        return ParsedMaze(start, end, blocks)
+
+    def djikstra(start: Point, end: Point, blocks: set[Point]) -> int:
+        def next_moves(
+            pos: Point,
+            dir: Direction,
+        ) -> Iterator[tuple[int, Point, Direction]]:
+            transitions = [(1, dir.step(pos), dir)]
+            for new_dir in dir.rotations():
+                transitions.append((1000, pos, new_dir))
+            for cost, pos, dir in transitions:
+                if pos in blocks:
+                    continue
+                yield cost, pos, dir
+
+        # Priority queue of (distance, point, direction)
+        queue = [(0, start, Direction.EAST)]
+        seen: set[Node] = set()
+
+        while len(queue) > 0:
+            cost, p, dir = heapq.heappop(queue)
+            if p == end:
+                return cost
+            # We must have seen (p, dir) with a smaller distance before
+            if (p, dir) in seen:
+                continue
+            # First time encountering (p, dir), must be the smallest distance to it
+            seen.add((p, dir))
+            # Add all neighbours to be visited
+            for n_cost, n, n_dir in next_moves(p, dir):
+                heapq.heappush(queue, (cost + n_cost, n, n_dir))
+
+        assert False  # Sanity check
+
+    start, end, blocks = parse(input.splitlines())
+    return djikstra(start, end, blocks)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d16/ex1/input
+++ b/2024/d16/ex1/input
@ -0,0 +1,141 @@
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--- a/2024/d16/ex2/ex2.py
+++ b/2024/d16/ex2/ex2.py
@ -0,0 +1,149 @@
+#!/usr/bin/env python
+
+import enum
+import heapq
+import sys
+from collections import defaultdict
+from collections.abc import Iterator
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+
+class ParsedMaze(NamedTuple):
+    start: Point
+    end: Point
+    blocks: set[Point]
+
+
+class Direction(enum.IntEnum):
+    EAST = enum.auto()
+    WEST = enum.auto()
+    NORTH = enum.auto()
+    SOUTH = enum.auto()
+
+    def rotations(self) -> tuple["Direction", "Direction"]:
+        match self:
+            case Direction.EAST | Direction.WEST:
+                return (Direction.NORTH, Direction.SOUTH)
+            case Direction.NORTH | Direction.SOUTH:
+                return (Direction.EAST, Direction.WEST)
+
+    def step(self, p: Point) -> Point:
+        dx: int
+        dy: int
+
+        match self:
+            case Direction.EAST:
+                dx, dy = 0, 1
+            case Direction.WEST:
+                dx, dy = 0, -1
+            case Direction.NORTH:
+                dx, dy = -1, 0
+            case Direction.SOUTH:
+                dx, dy = 1, 0
+
+        return Point(p.x + dx, p.y + dy)
+
+
+Node = tuple[Point, Direction]
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> ParsedMaze:
+        start: Point | None = None
+        end: Point | None = None
+        blocks: set[Point] = set()
+        for x, line in enumerate(input):
+            for y, c in enumerate(line):
+                if c == ".":
+                    continue
+                p = Point(x, y)
+                if c == "S":
+                    start = p
+                elif c == "E":
+                    end = p
+                elif c == "#":
+                    blocks.add(p)
+                else:
+                    assert False  # Sanity check
+        assert start is not None  # Sanity check
+        assert end is not None  # Sanity check
+        return ParsedMaze(start, end, blocks)
+
+    def count_path_cells(start: Point, end: Point, blocks: set[Point]) -> int:
+        def next_moves(
+            pos: Point,
+            dir: Direction,
+        ) -> Iterator[tuple[int, Point, Direction]]:
+            transitions = [(1, dir.step(pos), dir)]
+            for new_dir in dir.rotations():
+                transitions.append((1000, pos, new_dir))
+            for cost, pos, dir in transitions:
+                if pos in blocks:
+                    continue
+                yield cost, pos, dir
+
+        def get_all_predecessors(
+            predecessors: dict[Node, set[Node]],
+        ) -> set[Point]:
+            queue = {(end, dir) for dir in Direction}
+            visited: set[Node] = set()
+            while queue:
+                cur = queue.pop()
+                visited.add(cur)
+                for pred in predecessors[cur]:
+                    if pred in visited:
+                        continue
+                    queue.add(pred)
+            return {p for p, _ in visited}
+
+        # Priority queue of (distance, point)
+        queue = [(0, start, Direction.EAST)]
+        seen: set[Node] = set()
+        predecessors: dict[Node, set[Node]] = defaultdict(set)
+        predecessor_cost: dict[Node, int] = {}
+        # Use an invalid maximum cost to simplify the loop
+        max_cost: int = -1
+
+        while len(queue) > 0:
+            cost, p, dir = heapq.heappop(queue)
+            # Did we go past the optimal cost, if so stop the loop
+            if max_cost > 0 and cost > max_cost:
+                break
+            # Otherwise, record the minimum cost
+            if p == end:
+                max_cost = cost
+            # We must have seen (p, dir) with a smaller distance before
+            if (p, dir) in seen:
+                continue
+            # First time encountering (p, dir), must be the smallest distance to it
+            seen.add((p, dir))
+            # Add all neighbours to be visited
+            for n_cost, n, n_dir in next_moves(p, dir):
+                n_cost += cost
+                # Record predecessors
+                if predecessor_cost.setdefault((n, n_dir), n_cost) > n_cost:
+                    predecessor_cost[(n, n_dir)] = n_cost
+                    predecessors[(n, n_dir)] = {(p, dir)}
+                elif predecessor_cost[(n, n_dir)] == n_cost:
+                    predecessors[(n, n_dir)].add((p, dir))
+                heapq.heappush(queue, (n_cost, n, n_dir))
+
+        # Run back up the tree of predecessors to count all cells
+        return len(get_all_predecessors(predecessors))
+
+    start, end, blocks = parse(input.splitlines())
+    return count_path_cells(start, end, blocks)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d16/ex2/input
+++ b/2024/d16/ex2/input
@ -0,0 +1,141 @@
+#############################################################################################################################################
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+#.....#...#...#...#.#.....#...#.#.........#.....#.#.#.#...#.......#...#...#.#...#.#...........#.....#.#...#.#...#.#.......#.#...#...#...#.#.#
+#.#.#######.#.#####.#.#.#####.#.#####.#####.###.###.#.#.###.#.###########.#.###.#.#####.###.#.#####.#.###.#.#####.#######.#.#.#.#.#.#####.#.#
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+#.###.#.#.###.#.#####.#.#.#.#######.#######.#.###.#.#.###.###.#.#######.#####.###.#.#.###.#.###.#.#.###.#.#.#.#####.###.#.#####.#.#.#.#####.#
+#S....#...#.....#.....#...#.................#.......#...........#.............#.....#...#.......#.....................................#.....#
+#############################################################################################################################################
--- a/2024/d17/ex1/ex1.py
+++ b/2024/d17/ex1/ex1.py
@ -0,0 +1,107 @@
+#!/usr/bin/env python
+
+import dataclasses
+import enum
+import sys
+
+
+@dataclasses.dataclass
+class Registers:
+    reg_a: int
+    reg_b: int
+    reg_c: int
+
+
+class Instruction(enum.IntEnum):
+    ADV = 0
+    BXL = 1
+    BST = 2
+    JNZ = 3
+    BXC = 4
+    OUT = 5
+    BDV = 6
+    CDV = 7
+
+
+@dataclasses.dataclass
+class Computer:
+    registers: Registers
+    program: list[int]
+    ip: int = 0
+
+    def _resolve_combo_operand(self, operand: int) -> int:
+        assert operand != 7  # Sanity check
+        if 0 <= operand <= 3:
+            return operand
+        if operand == 4:
+            return self.registers.reg_a
+        if operand == 5:
+            return self.registers.reg_b
+        if operand == 6:
+            return self.registers.reg_c
+        assert False  # Sanity check
+
+    # Returns False if the computer is halted
+    # `output` is an out parameter
+    def step(self, output: list[int]) -> bool:
+        # NOTE: also accounting for operand in overflow check here
+        if (self.ip + 1) >= len(self.program):
+            return False
+
+        instr, literal_operand = (
+            Instruction(self.program[self.ip]),
+            self.program[self.ip + 1],
+        )
+        combo_operand = self._resolve_combo_operand(literal_operand)
+
+        ip_delta = 2
+        match instr:
+            case Instruction.ADV:
+                self.registers.reg_a //= 2**combo_operand
+            case Instruction.BXL:
+                self.registers.reg_b ^= literal_operand
+            case Instruction.BST:
+                self.registers.reg_b = combo_operand % 8
+            case Instruction.JNZ:
+                if self.registers.reg_a != 0:
+                    self.ip = literal_operand
+                    ip_delta = 0
+            case Instruction.BXC:
+                self.registers.reg_b ^= self.registers.reg_c
+            case Instruction.OUT:
+                output.append(combo_operand % 8)
+            case Instruction.BDV:
+                self.registers.reg_b = self.registers.reg_a // 2**combo_operand
+            case Instruction.CDV:
+                self.registers.reg_c = self.registers.reg_a // 2**combo_operand
+        self.ip += ip_delta
+
+        return True
+
+
+def solve(input: str) -> str:
+    def parse_registers(input: list[str]) -> Registers:
+        def parse_register(input: str) -> int:
+            return int(input.split(": ")[1])
+
+        return Registers(*map(parse_register, input))
+
+    def parse(input: str) -> Computer:
+        registers, program_str = input.split("\n\n")
+        program = list(map(int, program_str.removeprefix("Program: ").split(",")))
+        return Computer(parse_registers(registers.splitlines()), program)
+
+    computer = parse(input)
+    output: list[int] = []
+    while computer.step(output):
+        pass
+    return ",".join(str(n) for n in output)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d17/ex1/input
+++ b/2024/d17/ex1/input
@ -0,0 +1,5 @@
+Register A: 30886132
+Register B: 0
+Register C: 0
+
+Program: 2,4,1,1,7,5,0,3,1,4,4,4,5,5,3,0
--- a/2024/d17/ex2/ex2.py
+++ b/2024/d17/ex2/ex2.py
@ -0,0 +1,135 @@
+#!/usr/bin/env python
+
+import copy
+import dataclasses
+import enum
+import sys
+
+
+@dataclasses.dataclass
+class Registers:
+    reg_a: int
+    reg_b: int
+    reg_c: int
+
+
+class Instruction(enum.IntEnum):
+    ADV = 0
+    BXL = 1
+    BST = 2
+    JNZ = 3
+    BXC = 4
+    OUT = 5
+    BDV = 6
+    CDV = 7
+
+
+@dataclasses.dataclass
+class Computer:
+    registers: Registers
+    program: list[int]
+    ip: int = 0
+
+    def _resolve_combo_operand(self, operand: int) -> int:
+        assert operand != 7  # Sanity check
+        if 0 <= operand <= 3:
+            return operand
+        if operand == 4:
+            return self.registers.reg_a
+        if operand == 5:
+            return self.registers.reg_b
+        if operand == 6:
+            return self.registers.reg_c
+        assert False  # Sanity check
+
+    # Returns False if the computer is halted
+    # `output` is an out parameter
+    def step(self, output: list[int]) -> bool:
+        # NOTE: also accounting for operand in overflow check here
+        if (self.ip + 1) >= len(self.program):
+            return False
+
+        instr, literal_operand = (
+            Instruction(self.program[self.ip]),
+            self.program[self.ip + 1],
+        )
+        combo_operand = self._resolve_combo_operand(literal_operand)
+
+        ip_delta = 2
+        match instr:
+            case Instruction.ADV:
+                self.registers.reg_a //= 2**combo_operand
+            case Instruction.BXL:
+                self.registers.reg_b ^= literal_operand
+            case Instruction.BST:
+                self.registers.reg_b = combo_operand % 8
+            case Instruction.JNZ:
+                if self.registers.reg_a != 0:
+                    self.ip = literal_operand
+                    ip_delta = 0
+            case Instruction.BXC:
+                self.registers.reg_b ^= self.registers.reg_c
+            case Instruction.OUT:
+                output.append(combo_operand % 8)
+            case Instruction.BDV:
+                self.registers.reg_b = self.registers.reg_a // 2**combo_operand
+            case Instruction.CDV:
+                self.registers.reg_c = self.registers.reg_a // 2**combo_operand
+        self.ip += ip_delta
+
+        return True
+
+
+def solve(input: str) -> int:
+    def parse_registers(input: list[str]) -> Registers:
+        def parse_register(input: str) -> int:
+            return int(input.split(": ")[1])
+
+        return Registers(*map(parse_register, input))
+
+    def parse(input: str) -> Computer:
+        registers, program_str = input.split("\n\n")
+        program = list(map(int, program_str.removeprefix("Program: ").split(",")))
+        return Computer(parse_registers(registers.splitlines()), program)
+
+    # Rely on the shape of the input, which reads 3 bits of reg_a at a time
+    def find_quine(computer: Computer) -> int:
+        def is_quine(a: int, n_outputs: int) -> bool:
+            if n_outputs == 0:
+                return True
+            tmp = copy.deepcopy(computer)
+            tmp.registers.reg_a = a
+            output: list[int] = []
+            while tmp.step(output):
+                pass
+            return output[-n_outputs:] == computer.program[-n_outputs:]
+
+        def helper(a: int, n_outputs: int) -> int | None:
+            # If not a quine of the correct length, abandon this candidate
+            if not is_quine(a, n_outputs):
+                return None
+            # If we've found all digits, return the candidate
+            if n_outputs == len(computer.program):
+                return a
+            # Try to find a longer quine, starting from this candidate
+            for next_a in range(a * 8, a * 8 + 8):
+                # We found a full quine, guaranteed to be the smallest value
+                if (res := helper(next_a, n_outputs + 1)) is not None:
+                    return res
+            return None
+
+        res = helper(0, 0)
+        assert res is not None  # Sanity check
+        return res
+
+    computer = parse(input)
+    return find_quine(computer)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d17/ex2/input
+++ b/2024/d17/ex2/input
@ -0,0 +1,5 @@
+Register A: 30886132
+Register B: 0
+Register C: 0
+
+Program: 2,4,1,1,7,5,0,3,1,4,4,4,5,5,3,0
--- a/2024/d18/ex1/ex1.py
+++ b/2024/d18/ex1/ex1.py
@ -0,0 +1,66 @@
+#!/usr/bin/env python
+
+import heapq
+import sys
+from collections.abc import Iterator
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+    def neighbours(self) -> Iterator["Point"]:
+        for dx, dy in (
+            (-1, 0),
+            (1, 0),
+            (0, -1),
+            (0, 1),
+        ):
+            yield Point(self.x + dx, self.y + dy)
+
+
+DIMS = Point(70, 70)
+
+
+def solve(input: str) -> int:
+    def parse(input: list[str]) -> list[Point]:
+        return [Point(*map(int, line.split(","))) for line in input]
+
+    def djikstra(start: Point, end: Point, blocks: set[Point]) -> int:
+        # Priority queue of (distance, point)
+        queue = [(0, start)]
+        seen: set[Point] = set()
+
+        while len(queue) > 0:
+            cost, p = heapq.heappop(queue)
+            if p == end:
+                return cost
+            # We must have seen p with a smaller distance before
+            if p in seen:
+                continue
+            # First time encountering p, must be the smallest distance to it
+            seen.add(p)
+            # Add all neighbours to be visited
+            for n in p.neighbours():
+                if p in blocks:
+                    continue
+                if not 0 <= p.x <= DIMS.x:
+                    continue
+                if not 0 <= p.y <= DIMS.y:
+                    continue
+                heapq.heappush(queue, (cost + 1, n))
+
+        assert False  # Sanity check
+
+    coords = parse(input.splitlines())
+    return djikstra(Point(0, 0), DIMS, set(coords[:1024]))
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d18/ex1/input
+++ b/2024/d18/ex1/input
--- a/2024/d18/ex2/ex2.py
+++ b/2024/d18/ex2/ex2.py
@ -0,0 +1,78 @@
+#!/usr/bin/env python
+
+import heapq
+import sys
+from collections.abc import Iterator
+from typing import NamedTuple
+
+
+class Point(NamedTuple):
+    x: int
+    y: int
+
+    def neighbours(self) -> Iterator["Point"]:
+        for dx, dy in (
+            (-1, 0),
+            (1, 0),
+            (0, -1),
+            (0, 1),
+        ):
+            yield Point(self.x + dx, self.y + dy)
+
+
+DIMS = Point(70, 70)
+
+
+def solve(input: str) -> str:
+    def parse(input: list[str]) -> list[Point]:
+        return [Point(*map(int, line.split(","))) for line in input]
+
+    def djikstra(start: Point, end: Point, blocks: set[Point]) -> int | None:
+        # Priority queue of (distance, point)
+        queue = [(0, start)]
+        seen: set[Point] = set()
+
+        while len(queue) > 0:
+            cost, p = heapq.heappop(queue)
+            if p == end:
+                return cost
+            # We must have seen p with a smaller distance before
+            if p in seen:
+                continue
+            # First time encountering p, must be the smallest distance to it
+            seen.add(p)
+            # Add all neighbours to be visited
+            for n in p.neighbours():
+                if p in blocks:
+                    continue
+                if not 0 <= p.x <= DIMS.x:
+                    continue
+                if not 0 <= p.y <= DIMS.y:
+                    continue
+                heapq.heappush(queue, (cost + 1, n))
+
+        return None
+
+    def bisect_cutoff(start: Point, end: Point, blocks: list[Point]) -> Point:
+        # Cutting off the path is monotonic: once cut-off, it's never uncut
+        low, high = 0, len(blocks)
+        while low < high:
+            mid = low + (high - low) // 2
+            if djikstra(start, end, set(blocks[: mid + 1])) is None:
+                high = mid
+            else:
+                low = mid + 1
+        return blocks[low]
+
+    coords = parse(input.splitlines())
+    byte = bisect_cutoff(Point(0, 0), DIMS, coords)
+    return f"{byte.x},{byte.y}"
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d18/ex2/input
+++ b/2024/d18/ex2/input
--- a/2024/d19/ex1/ex1.py
+++ b/2024/d19/ex1/ex1.py
@ -0,0 +1,32 @@
+#!/usr/bin/env python
+
+import functools
+import sys
+
+
+def solve(input: str) -> int:
+    def parse(input: str) -> tuple[frozenset[str], list[str]]:
+        towels, patterns = input.split("\n\n")
+        return frozenset(towels.split(", ")), patterns.splitlines()
+
+    @functools.cache
+    def is_possible(pattern: str, towels: frozenset[str]) -> bool:
+        if pattern == "":
+            return True
+        return any(
+            is_possible(pattern.removeprefix(towel), towels)
+            for towel in towels
+            if pattern.startswith(towel)
+        )
+
+    towels, patterns = parse(input)
+    return sum(is_possible(pattern, towels) for pattern in patterns)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d19/ex1/input
+++ b/2024/d19/ex1/input
@ -0,0 +1,402 @@
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--- a/2024/d19/ex2/ex2.py
+++ b/2024/d19/ex2/ex2.py
@ -0,0 +1,32 @@
+#!/usr/bin/env python
+
+import functools
+import sys
+
+
+def solve(input: str) -> int:
+    def parse(input: str) -> tuple[frozenset[str], list[str]]:
+        towels, patterns = input.split("\n\n")
+        return frozenset(towels.split(", ")), patterns.splitlines()
+
+    @functools.cache
+    def count_ways(pattern: str, towels: frozenset[str]) -> int:
+        if pattern == "":
+            return 1
+        return sum(
+            count_ways(pattern.removeprefix(towel), towels)
+            for towel in towels
+            if pattern.startswith(towel)
+        )
+
+    towels, patterns = parse(input)
+    return sum(count_ways(pattern, towels) for pattern in patterns)
+
+
+def main() -> None:
+    input = sys.stdin.read()
+    print(solve(input))
+
+
+if __name__ == "__main__":
+    main()
--- a/2024/d19/ex2/input
+++ b/2024/d19/ex2/input
@ -0,0 +1,402 @@
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Author	SHA1	Message	Date
Bruno BELANYI	080e4e74ec	2024: d19: ex2: add solution	2024-12-19 00:11:14 -05:00
Bruno BELANYI	a05e17d50c	2024: d19: ex2: add input	2024-12-19 00:11:08 -05:00
Bruno BELANYI	d38c370f4f	2024: d19: ex1: add solution	2024-12-19 00:11:03 -05:00
Bruno BELANYI	a49aa0cbca	2024: d19: ex1: add input	2024-12-19 00:10:57 -05:00
Bruno BELANYI	d9e3dba3ce	2024: d18: ex2: add solution	2024-12-18 00:25:04 -05:00
Bruno BELANYI	9306c7c462	2024: d18: ex2: add input	2024-12-18 00:24:53 -05:00
Bruno BELANYI	bb3386c083	2024: d18: ex1: add solution	2024-12-18 00:24:47 -05:00
Bruno BELANYI	531991c6c5	2024: d18: ex1: add input	2024-12-18 00:24:40 -05:00
Bruno BELANYI	bc200592c4	2024: d17: ex2: add solution	2024-12-17 13:11:08 -05:00
Bruno BELANYI	de285154cf	2024: d17: ex2: add input	2024-12-17 13:10:57 -05:00
Bruno BELANYI	bd44f8abc8	2024: d17: ex1: add solution	2024-12-17 13:10:51 -05:00
Bruno BELANYI	c5cbd8d499	2024: d17: ex1: add input	2024-12-17 13:10:44 -05:00
Bruno BELANYI	5176ba5723	2024: d16: ex2: add solution	2024-12-16 14:54:20 -05:00
Bruno BELANYI	8e747b503f	2024: d16: ex2: add input	2024-12-16 14:54:15 -05:00
Bruno BELANYI	5e240ff71d	2024: d16: ex1: add solution	2024-12-16 14:54:09 -05:00
Bruno BELANYI	cd139b14b1	2024: d16: ex1: add input	2024-12-16 14:54:04 -05:00
Bruno BELANYI	fa1ac05b77	2024: d15: ex2: add solution	2024-12-15 11:01:06 -05:00
Bruno BELANYI	995f60fdb0	2024: d15: ex2: add input	2024-12-15 11:01:01 -05:00
Bruno BELANYI	fe6ae49833	2024: d15: ex1: add solution	2024-12-15 11:00:54 -05:00
Bruno BELANYI	ed9d601284	2024: d15: ex1: add input	2024-12-15 11:00:49 -05:00
Bruno BELANYI	dcd885f641	2024: d14: ex2: add solution	2024-12-14 11:22:58 -05:00
Bruno BELANYI	8d73ecea78	2024: d14: ex2: add input	2024-12-14 11:22:54 -05:00
Bruno BELANYI	7e54035bef	2024: d14: ex1: add solution	2024-12-14 11:22:46 -05:00
Bruno BELANYI	c8a9d25770	2024: d14: ex1: add input	2024-12-14 11:22:39 -05:00
Bruno BELANYI	681c85169b	2024: d13: ex2: add solution	2024-12-13 01:51:43 -05:00
Bruno BELANYI	b6cac39da0	2024: d13: ex2: add input	2024-12-13 01:51:38 -05:00
Bruno BELANYI	6aa81cdb13	2024: d13: ex1: add solution	2024-12-13 01:51:32 -05:00
Bruno BELANYI	bd73041e6d	2024: d13: ex1: add input	2024-12-13 01:51:28 -05:00
Bruno BELANYI	a5efe0f7ec	2024: d12: ex2: add solution	2024-12-12 10:01:22 -05:00
Bruno BELANYI	f56392b78f	2024: d12: ex2: add input	2024-12-12 10:01:03 -05:00
Bruno BELANYI	94ee0dc642	2024: d12: ex1: add solution	2024-12-12 10:00:57 -05:00
Bruno BELANYI	6a4b8a1a67	2024: d12: ex1: add input	2024-12-12 10:00:51 -05:00
Bruno BELANYI	d4bca4bbad	2024: d11: ex2: add solution	2024-12-11 09:16:17 -05:00
Bruno BELANYI	a38bf45fa6	2024: d11: ex2: add input	2024-12-11 09:16:12 -05:00
Bruno BELANYI	d1653a9aec	2024: d11: ex1: add solution	2024-12-11 09:16:06 -05:00
Bruno BELANYI	9f8f458c01	2024: d11: ex1: add input	2024-12-11 09:16:00 -05:00
Bruno BELANYI	a35ae47246	2024: d10: ex2: add solution	2024-12-10 00:20:29 -05:00
Bruno BELANYI	a286419745	2024: d10: ex2: add input	2024-12-10 00:20:22 -05:00
Bruno BELANYI	2572015d79	2024: d10: ex1: add solution	2024-12-10 00:20:16 -05:00
Bruno BELANYI	ffe7be04fe	2024: d10: ex1: add input	2024-12-10 00:20:10 -05:00
Bruno BELANYI	a33530ec13	2024: d09: ex2: add solution	2024-12-09 08:48:31 -05:00
Bruno BELANYI	2315fe3fa5	2024: d09: ex2: add input	2024-12-09 08:48:23 -05:00
Bruno BELANYI	c6a9bb406b	2024: d09: ex1: add solution	2024-12-09 08:48:17 -05:00
Bruno BELANYI	d593c86613	2024: d09: ex1: add input	2024-12-09 08:48:10 -05:00
Bruno BELANYI	f633512263	2024: d08: ex2: add solution	2024-12-08 05:16:55 +00:00
Bruno BELANYI	835645531b	2024: d08: ex2: add input	2024-12-08 05:16:50 +00:00
Bruno BELANYI	5c352109de	2024: d08: ex1: add solution	2024-12-08 05:16:44 +00:00
Bruno BELANYI	0da5366293	2024: d08: ex1: add input	2024-12-08 05:16:38 +00:00
Bruno BELANYI	55568ccdb3	2024: d07: ex2: add solution	2024-12-07 10:43:12 +00:00
Bruno BELANYI	872b3bb98f	2024: d07: ex2: add input	2024-12-07 10:43:07 +00:00
Bruno BELANYI	b918737ed1	2024: d07: ex1: add solution	2024-12-07 10:43:00 +00:00
Bruno BELANYI	bf4018ac8b	2024: d07: ex1: add input	2024-12-07 10:42:51 +00:00
Bruno BELANYI	3eb1ed97df	2024: d06: ex2: add solution	2024-12-06 11:06:14 +00:00
Bruno BELANYI	fb0a35831e	2024: d06: ex2: add input	2024-12-06 11:05:59 +00:00
Bruno BELANYI	f6950f1c0a	2024: d06: ex1: add solution	2024-12-06 11:05:51 +00:00
Bruno BELANYI	6ce2468a20	2024: d06: ex1: add input	2024-12-06 11:05:42 +00:00
Bruno BELANYI	31c7a2d1e7	2024: d05: ex2: add solution	2024-12-05 10:47:22 +00:00
Bruno BELANYI	24ecbc6b74	2024: d05: ex2: add input	2024-12-05 10:47:15 +00:00
Bruno BELANYI	fde618ecf6	2024: d05: ex1: add solution	2024-12-05 10:47:08 +00:00
Bruno BELANYI	42f91d84c9	2024: d05: ex1: add input	2024-12-05 10:46:59 +00:00
Bruno BELANYI	1712f53ff7	2024: d04: ex2: add solution	2024-12-04 10:36:07 +00:00
Bruno BELANYI	5fa5d3db54	2024: d04: ex2: add input	2024-12-04 10:35:51 +00:00
Bruno BELANYI	d055076659	2024: d04: ex1: add solution	2024-12-04 10:35:39 +00:00
Bruno BELANYI	93314299fb	2024: d04: ex1: add input	2024-12-04 10:35:30 +00:00
Bruno BELANYI	7bebb8a981	2024: d03: ex2: add solution	2024-12-03 10:13:19 +00:00
Bruno BELANYI	67ab17f1f8	2024: d03: ex2: add input	2024-12-03 10:13:10 +00:00
Bruno BELANYI	170173e5d3	2024: d03: ex1: add solution	2024-12-03 10:12:55 +00:00
Bruno BELANYI	de2503d8fd	2024: d03: ex1: add input	2024-12-03 10:12:45 +00:00
Bruno BELANYI	28a945c421	2024: d02: ex2: add solution	2024-12-02 10:24:02 +00:00
Bruno BELANYI	78ff7514f8	2024: d02: ex2: add input	2024-12-02 10:23:35 +00:00
Bruno BELANYI	3db8436347	2024: d02: ex1: add solution	2024-12-02 10:23:23 +00:00