more 2017
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jfmontanaro
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2017/__pycache__/day03.cpython-36.pyc
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2017/__pycache__/day03.cpython-36.pyc
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2017/__pycache__/day06.cpython-36.pyc
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2017/__pycache__/day06.cpython-36.pyc
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1
2017/data01.txt
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2017/data01.txt
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57276274387944537823652626177853384411146325384494935924454336611953119173638191671326254832624841593421667683474349154668177743437745965461678636631863541462893547616877914914662358836365421198516263335926544716331814125295712581158399321372683742773423626286669759415959391374744214595682795818615532673877868424196926497731144319736445141728123322962547288572434564178492753681842244888368542423832228211172842456231275738182764232265933625119312598161192193214898949267765417468348935134618964683127194391796165368145548814473129857697989322621368744725685183346825333247866734735894493395218781464346951777873929898961358796274889826894529599645442657423438562423853247543621565468819799931598754753467593832328147439341586125262733737128386961596394728159719292787597426898945198788211417854662948358422729471312456437778978749753927251431677533575752312447488337156956217451965643454445329758327129966657189332824969141448538681979632611199385896965946849725421978137753366252459914913637858783146735469758716752765718189175583956476935185985918536318424248425426398158278111751711911227818826766177996223718837428972784328925743869885232266127727865267881592395643836999244218345184474613129823933659422223685422732186536199153988717455568523781673393698356967355875123554797755491181791593156433735591529495984256519631187849654633243225118132152549712643273819314433877592644693826861523243946998615722951182474773173215527598949553185313259992227879964482121769617218685394776778423378182462422788277997523913176326468957342296368178321958626168785578977414537368686438348124283789748775163821457641135163495649331144436157836647912852483177542224864952271874645274572426458614384917923623627532487625396914111582754953944965462576624728896917137599778828769958626788685374749661741223741834844643725486925886933118382649581481351844943368484853956759877215252766294896496444835264357169642341291412768946589781812493421379575569593678354241223363739129813633236996588711791919421574583924743119867622229659211793468744163297478952475933163259769578345894367855534294493613767564497137369969315192443795512585
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16
2017/data02.txt
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2017/data02.txt
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179 2358 5197 867 163 4418 3135 5049 187 166 4682 5080 5541 172 4294 1397
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2637 136 3222 591 2593 1982 4506 195 4396 3741 2373 157 4533 3864 4159 142
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1049 1163 1128 193 1008 142 169 168 165 310 1054 104 1100 761 406 173
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200 53 222 227 218 51 188 45 98 194 189 42 50 105 46 176
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299 2521 216 2080 2068 2681 2376 220 1339 244 605 1598 2161 822 387 268
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1043 1409 637 1560 970 69 832 87 78 1391 1558 75 1643 655 1398 1193
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90 649 858 2496 1555 2618 2302 119 2675 131 1816 2356 2480 603 65 128
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2461 5099 168 4468 5371 2076 223 1178 194 5639 890 5575 1258 5591 6125 226
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204 205 2797 2452 2568 2777 1542 1586 241 836 3202 2495 197 2960 240 2880
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560 96 336 627 546 241 191 94 368 528 298 78 76 123 240 563
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818 973 1422 244 1263 200 1220 208 1143 627 609 274 130 961 685 1318
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1680 1174 1803 169 450 134 3799 161 2101 3675 133 4117 3574 4328 3630 4186
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1870 3494 837 115 1864 3626 24 116 2548 1225 3545 676 128 1869 3161 109
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890 53 778 68 65 784 261 682 563 781 360 382 790 313 785 71
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125 454 110 103 615 141 562 199 340 80 500 473 221 573 108 536
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1311 64 77 1328 1344 1248 1522 51 978 1535 1142 390 81 409 68 352
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512
2017/data04.txt
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512
2017/data04.txt
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una bokpr ftz ryw nau yknf fguaczl anu
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||||
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||||
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|
||||
tikv uvzp oxopqy reh uzvp wefka vli kied gngks vbz thfsxyt
|
||||
exxvknp pucbdyl dboto tzat qze xyinygz mhzl ubahr ekxbtk
|
||||
jcz ufszbi pknsfgb ivok ijau okxolj etecn aurun zsa gbxs uryx
|
||||
ypnb ousd osg mvset ipffzdn dfinfpz ltescx
|
||||
taeoct aoetct aocett ttda fcdqnxv
|
||||
bimtlk ssax bmrifkr vfxdmq hglp rgzr zpvk zhxtq rndwy mmr arkr
|
||||
bwvdb axxbhzk nwfmbbu kzuc sahv cvas wdac acsv
|
||||
xavkwou yvx ouwkxva otbe uzr mmw atq yiy ghavd qta pqlhv
|
||||
omzht vsdsc zhtmo hmotz
|
||||
eqt wtveez syift shtfnc hmckjxa apwbvn yme okdl hbihdtv hxahns eetvwz
|
||||
rokdg ndjw hprxjc viys mbcctod dbvd
|
||||
lhzb fyxf xaslmi sjd vqp grxhmfe snetfv mgivd uaknj givkdi
|
||||
gxkxl kqcdnl rna jhcuepd npiedg djcpheu huce njryw bjluhq bvedvl kqxu
|
||||
sogh uym atpzuwx vjgbe xgrvkg thgbyn mptcebt rkro
|
||||
tnpxw uxrqxd lajmsmr tnnlt vrvbf deret hkmvrs eubvkn kks hjq
|
||||
rcdoa zfja vod supip dvo
|
||||
zbxdo xglqv how mgoq jqrdou pwrminc lidi nfs xglqv lidi
|
||||
ldmnp dnqn ahhr tha mvsbsfh rpm rgus faf tjash
|
||||
ewrdol jqhfpf rckj mrxlwj redjg bmxprx grla
|
||||
rhr jksebwa vtu skwaejb vut
|
||||
wrx iqvrjh atrt xrw vtqo tkcasd xedjh zkqrh vvhj
|
||||
owc qlzygar uajwwe obzl inxawur
|
||||
crbtrf phvy nzipo rctbfr trrcbf
|
||||
vwuun wcfhhzo vxxjdt fbf bqtmmhs bffqcna
|
||||
wkxfxmv zmrkyh sggw whwcw zukynw
|
||||
lsdiy lnbn kblxi qfyib irfl mymrr zqbl
|
||||
gwdkeu ghn afry zxoz fary uzntlnk kee xtnop ptnox zngoran
|
||||
lgs lsg sgeseiz gsl
|
||||
erpoqpi svtnv vsogl uym amzxbs
|
||||
jtmodqx yjcsfcl zosugm jrekfdw xxbdqnx fcha
|
||||
vio tlfxokx xaoq pydeiq glxsuzm honifvf maiuzsy uizsyam eco
|
||||
ophcui saka qyt ltti syw
|
||||
qff qff sde ryv
|
||||
eiii jazx nlehtx tnhvxl rzvsjo qkupif feypppe tefxr wdjmlc
|
||||
pdrr mwuy wccd rxla drpr enbbap
|
||||
pclml ubwdbz hfudj gdpujfm ovabv
|
||||
uink ffebi wdvhqzs qiympf lqxihty vnsp wdvhqzs hutxkcs lxfuos hutxkcs
|
||||
fycoaw palkpz yrkg kappzl ncjym mergg kryg
|
||||
eqy npvgh ghafkro piqnogb polacs qye hnvpg
|
||||
dxyy udhmz jij tqsuic qxz erctv
|
||||
urum nmbr cgek eetmhj gxr oxgukf wzdmvi oibzt fxkoug rcrywcr rglx
|
||||
jkp ofej waibl opqhmww ifnczcg jdtkbc lil isc ill mylvuv
|
||||
vqbcosk yhhsy gasmj bspx peakt cjtekw hvzo ywe qcvbosk ohzv qddt
|
||||
edq llbvsx vedyvlm gou wkecank rkgf ziyrr belgo tbz
|
||||
wbome vhzf ztk zaxiu ywjb supuf beq sxq spuuf pufus
|
||||
femu ymkdoew kjynct aia
|
||||
yjymr orovqj aremii licw bdtnc
|
||||
uyade fbx duaye ujtvpn
|
||||
yzvp pvzgjp yofcvya gvkkoh cafyvoy mhsm okhkvg
|
||||
xuh qkaf dmi imd tzmlce mqkxj qilrc dim cadotvy
|
||||
azpqgb kyc aflgyaf laagffy kesmk jzyzaer taf bpkbzdg
|
||||
ogd dbdlh dqt zaaloh
|
||||
exal vgnfx omu omepvwf szcwq snz bptite bzqyxl khmblyc sse emg
|
||||
yqcbwsn aihhf tqck tcqk wqwqy cfez xahpn
|
||||
qqbuf lil ies tqu pyxhqp mnfuk azj
|
||||
vwma rzdtgl mxbasw nwgjav mwav
|
||||
itpjfq rrgyt hralwm fqrig btwcod
|
||||
ydjd kmk fvwr wrfv yvhw mkk
|
||||
xbsxub yhsj xzbuf ace xubbsx fzuxb vxk
|
||||
ttsist vubpf mhwkmtx vlj hdsva kmmhtwx ukxr upfvb tbma fxsrnxl hzwufho
|
||||
wckjvz unmtev egxts ihw topvw ptowv rnihhmq
|
||||
gpdtl kcric nwg ssbs qah aarp ydsdty ngw
|
||||
lzhxbbq oktvcw xbasqe owtmwgp koa gumjie sodwrp hqsw aqh dtgsbb
|
||||
xjbyy mxfxa ogvk nqiy qyni ldqwryj niyq jjixc
|
||||
uhbul daccgva xtiz dim uhbul yjmakv yjmakv
|
||||
huo esajup ouj oju ujo
|
||||
eeeu hwvsk jfkmds okhi pogskfm itdlbll
|
||||
lpyubo dylpfb iehwug decj ntidy cuygyg lalkb iutu oxgm imn
|
||||
1066
2017/data05.txt
Normal file
1066
2017/data05.txt
Normal file
File diff suppressed because it is too large
Load Diff
1
2017/data06.txt
Normal file
1
2017/data06.txt
Normal file
@ -0,0 +1 @@
|
||||
0 5 10 0 11 14 13 4 11 8 8 7 1 4 12 11
|
||||
1317
2017/data07.txt
Normal file
1317
2017/data07.txt
Normal file
File diff suppressed because it is too large
Load Diff
25
2017/day01.py
Normal file
25
2017/day01.py
Normal file
@ -0,0 +1,25 @@
|
||||
from collections import deque
|
||||
|
||||
with open('data01.txt') as f:
|
||||
data = f.read().strip()
|
||||
|
||||
|
||||
d = deque(data)
|
||||
total = 0
|
||||
|
||||
'''
|
||||
#part 1
|
||||
for i in range(len(data)):
|
||||
if d[0] == d[1]:
|
||||
total += int(d[0])
|
||||
d.rotate()
|
||||
'''
|
||||
|
||||
# part 2
|
||||
half = len(data) // 2
|
||||
for i in range(len(data)):
|
||||
if d[0] == d[half]:
|
||||
total += int(d[0])
|
||||
d.rotate()
|
||||
|
||||
print(total)
|
||||
27
2017/day02.py
Normal file
27
2017/day02.py
Normal file
@ -0,0 +1,27 @@
|
||||
with open('data02.txt') as f:
|
||||
rows = f.readlines()
|
||||
|
||||
|
||||
'''
|
||||
# part 1
|
||||
diffs = []
|
||||
for r in rows:
|
||||
cells = [int(c) for c in r.split()]
|
||||
diffs.append(max(cells) - min(cells))
|
||||
|
||||
print(sum(diffs))
|
||||
'''
|
||||
|
||||
# part 2
|
||||
from itertools import combinations
|
||||
|
||||
rows = [[int(x) for x in r.split()] for r in rows]
|
||||
divs = []
|
||||
for row in rows:
|
||||
for pair in combinations(row, 2):
|
||||
hi, lo = max(pair), min(pair)
|
||||
if hi % lo == 0:
|
||||
divs.append(hi // lo)
|
||||
break
|
||||
|
||||
print(sum(divs))
|
||||
93
2017/day03.py
Normal file
93
2017/day03.py
Normal file
@ -0,0 +1,93 @@
|
||||
class Walker:
|
||||
def __init__(self):
|
||||
self.x = 0
|
||||
self.y = 0
|
||||
self.address = 1
|
||||
self.current_radius = 0
|
||||
self.cells = {(0, 0): 1}
|
||||
|
||||
def right(self):
|
||||
self.x += 1
|
||||
self.address += 1
|
||||
|
||||
def left(self):
|
||||
self.x -= 1
|
||||
self.address += 1
|
||||
|
||||
def up(self):
|
||||
self.y += 1
|
||||
self.address += 1
|
||||
|
||||
def down(self):
|
||||
self.y -= 1
|
||||
self.address += 1
|
||||
|
||||
def walk(self):
|
||||
# check if time to switch bands
|
||||
if self.x == self.current_radius and self.y == -1 * self.current_radius:
|
||||
self.right()
|
||||
self.current_radius += 1
|
||||
self.populate_cell()
|
||||
return
|
||||
|
||||
# figure out side and move accordingly
|
||||
if abs(self.y) < self.current_radius: # left or right
|
||||
if self.x > 0: # right
|
||||
self.up()
|
||||
else: # left
|
||||
self.down()
|
||||
elif abs(self.x) < self.current_radius: # top or bottom
|
||||
if self.y > 0: # top
|
||||
self.left()
|
||||
else: # bottom
|
||||
self.right()
|
||||
else: # corner
|
||||
if self.x > 0 and self.y > 0: # top right
|
||||
self.left()
|
||||
elif self.x < 0 and self.y > 0: # top left
|
||||
self.down()
|
||||
elif self.x < 0 and self.y < 0: # bottom left
|
||||
self.right()
|
||||
elif self.x > 0 and self.y < 0: # bottom right
|
||||
self.up()
|
||||
self.populate_cell()
|
||||
|
||||
def populate_cell(self):
|
||||
total = 0
|
||||
for dx in 1, 0, -1:
|
||||
for dy in 1, 0, -1:
|
||||
if dx != 0 or dy != 0:
|
||||
coords = (self.x + dx, self.y + dy)
|
||||
total += self.cells.get(coords, 0)
|
||||
self.cells[self.x, self.y] = total
|
||||
|
||||
def test(self, steps=1):
|
||||
for i in range(steps):
|
||||
self.walk()
|
||||
self.display()
|
||||
|
||||
def display(self):
|
||||
print('Address:', self.address)
|
||||
print('Value:', self.cells[self.x, self.y])
|
||||
print(f'Position: ({self.x}, {self.y})')
|
||||
print('Radius:', self.current_radius)
|
||||
|
||||
if __name__ == '__main__':
|
||||
n = 325489
|
||||
walker = Walker()
|
||||
'''
|
||||
# part 1
|
||||
while walker.address < n:
|
||||
walker.walk()
|
||||
|
||||
walker.display()
|
||||
|
||||
print('Distance:', abs(walker.x) + abs(walker.y))
|
||||
'''
|
||||
|
||||
# part 2
|
||||
while walker.cells[walker.x, walker.y] <= n:
|
||||
walker.walk()
|
||||
|
||||
walker.display()
|
||||
|
||||
34
2017/day04.py
Normal file
34
2017/day04.py
Normal file
@ -0,0 +1,34 @@
|
||||
from itertools import combinations
|
||||
from collections import Counter
|
||||
|
||||
with open('data04.txt') as f:
|
||||
phrases = [r.strip() for r in f.readlines()]
|
||||
|
||||
def test_words(phrase):
|
||||
words = phrase.split()
|
||||
unique = set(words)
|
||||
return len(unique) == len(words)
|
||||
|
||||
def test_anagrams(phrase):
|
||||
words = phrase.split()
|
||||
for a, b in combinations(words, 2):
|
||||
if Counter(a) == Counter(b):
|
||||
return False
|
||||
return True
|
||||
|
||||
|
||||
total = 0
|
||||
|
||||
'''
|
||||
# part 1
|
||||
for phrase in phrases:
|
||||
if test_words(phrase):
|
||||
total += 1
|
||||
'''
|
||||
|
||||
# part 2
|
||||
for phrase in phrases:
|
||||
if test_anagrams(phrase):
|
||||
total += 1
|
||||
|
||||
print(total)
|
||||
28
2017/day05.py
Normal file
28
2017/day05.py
Normal file
@ -0,0 +1,28 @@
|
||||
with open('data05.txt') as f:
|
||||
data = f.readlines()
|
||||
|
||||
jumps = list(map(int, data))
|
||||
steps = 0
|
||||
i = 0
|
||||
|
||||
'''
|
||||
# part 1
|
||||
while i < len(jumps):
|
||||
old = i
|
||||
i += jumps[i]
|
||||
jumps[old] += 1
|
||||
steps += 1
|
||||
'''
|
||||
|
||||
# part 2
|
||||
while i < len(jumps):
|
||||
j = jumps[i]
|
||||
if j > 2:
|
||||
jumps[i] -= 1
|
||||
else:
|
||||
jumps[i] += 1
|
||||
i += j
|
||||
steps += 1
|
||||
|
||||
|
||||
print(steps)
|
||||
39
2017/day06.py
Normal file
39
2017/day06.py
Normal file
@ -0,0 +1,39 @@
|
||||
with open('data06.txt') as f:
|
||||
initial_banks = list(map(int, f.read().split()))
|
||||
|
||||
class Memory:
|
||||
def __init__(self, banks):
|
||||
self.banks = banks
|
||||
|
||||
def reallocate(self):
|
||||
index = self.banks.index(max(self.banks))
|
||||
blocks = self.banks[index]
|
||||
self.banks[index] = 0
|
||||
for b in range(blocks):
|
||||
target = (index + b + 1) % len(self.banks)
|
||||
self.banks[target] += 1
|
||||
|
||||
|
||||
mem = Memory(initial_banks)
|
||||
seen = {tuple(mem.banks)}
|
||||
count = 0
|
||||
|
||||
while True:
|
||||
mem.reallocate()
|
||||
count += 1
|
||||
snapshot = tuple(mem.banks)
|
||||
if snapshot in seen:
|
||||
break
|
||||
else:
|
||||
seen.add(snapshot)
|
||||
|
||||
count = 0
|
||||
final = tuple(mem.banks)
|
||||
|
||||
while True:
|
||||
mem.reallocate()
|
||||
count += 1
|
||||
if tuple(mem.banks) == final:
|
||||
break
|
||||
|
||||
print(count)
|
||||
74
2017/day07.py
Normal file
74
2017/day07.py
Normal file
@ -0,0 +1,74 @@
|
||||
from collections import defaultdict
|
||||
|
||||
with open('data07.txt') as f:
|
||||
lines = f.readlines()
|
||||
|
||||
class Tree:
|
||||
def __init__(self):
|
||||
self.items = {}
|
||||
|
||||
def __getitem__(self, item):
|
||||
if item in self.items:
|
||||
return self.items[item]
|
||||
else:
|
||||
return Tree()
|
||||
|
||||
def __setitem__(self, key, item):
|
||||
self.items[key] = item
|
||||
|
||||
|
||||
programs = defaultdict(dict)
|
||||
|
||||
for line in lines:
|
||||
pieces = line.split()
|
||||
name = pieces[0]
|
||||
weight = int(pieces[1][1:-1])
|
||||
prog = programs[name]
|
||||
prog.update({
|
||||
'name': name,
|
||||
'weight': weight
|
||||
})
|
||||
|
||||
if len(pieces) > 3: # has children
|
||||
children = [c.strip(',') for c in pieces[3:]]
|
||||
prog['children'] = children
|
||||
for child in children:
|
||||
programs[child]['parent'] = name
|
||||
|
||||
# part 1
|
||||
'''
|
||||
p = lines[-1].split()[0]
|
||||
while 'parent' in programs[p]:
|
||||
p = programs[p]['parent']
|
||||
|
||||
print(p)
|
||||
'''
|
||||
|
||||
# part 2
|
||||
def weigh(p):
|
||||
if 'children' not in p:
|
||||
return p['weight']
|
||||
else:
|
||||
total = p['weight']
|
||||
for c in p['children']:
|
||||
child = programs[c]
|
||||
total += weigh(child)
|
||||
return total
|
||||
|
||||
for prog in programs.values():
|
||||
prog['total_weight'] = weigh(prog)
|
||||
|
||||
current = 'qibuqqg'
|
||||
while 'children' in programs[current]:
|
||||
weights = defaultdict(list)
|
||||
for c in programs[current]['children']:
|
||||
child = programs[c]
|
||||
weight = child['total_weight']
|
||||
weights[weight].append(c)
|
||||
if len(weights) == 1:
|
||||
break
|
||||
else:
|
||||
children = sorted(weights.values(), key=lambda x: len(x))
|
||||
current = children[0][0]
|
||||
|
||||
print(programs[current])
|
||||
Loading…
x
Reference in New Issue
Block a user