def path_to_coords(path):
if path == '':
return Vec(0, 0)
return path_to_coords(path[:-1]) + {
'U': Vec(0, -1),
'D': Vec(0, 1),
'L': Vec(-1, 0),
'R': Vec(1, 0)
}[path[-1]]
def part2(inp):
y_candidates = []
for i in range(min(0, inp.lower[1] - 1),
max(abs(y) for _, y in [inp.lower, inp.upper]) + 1):
if check_y_hit(Vec(0, i), inp):
y_candidates.append(i)
x_candidates = []
for i in range(min(0, inp.lower[0] - 1), max(0, inp.upper[0] + 1)):
if check_x_hit(Vec(i, 0), inp):
x_candidates.append(i)
return sum(
check_hit(Vec(x, y), inp) for x in x_candidates for y in y_candidates)
def part1(inp):
y_vel = 0
for i in range(min(0, inp.lower[1] - 1),
max(abs(y) for _, y in [inp.lower, inp.upper]) + 1):
if check_y_hit(Vec(0, i), inp):
y_vel = i
max_y = 0
pos = Vec(0, 0)
vel = Vec(0, y_vel)
while True:
pos, vel = step(pos, vel)
if pos[1] < max_y:
return max_y
max_y = pos[1]
def enhance(img, alg):
xmin = min(x for x, _ in img) - 1
xmax = max(x for x, _ in img) + 1
ymin = min(y for _, y in img) - 1
ymax = max(y for _, y in img) + 1
if img.default_factory():
default = alg[-1]
else:
default = alg[0]
return defaultdict(
lambda: default, {
Vec(x, y): alg[int(
''.join('1' if img[(Vec(x, y) + c)] else '0'
for c in square), 2)]
for x in range(xmin, xmax + 1) for y in range(ymin, ymax + 1)
})
def part2(inp):
mapp = {}
lx, ly = max(x for x, _ in inp) + 1, max(y for _, y in inp) + 1
for (x, y), v in inp.items():
for a, b in product(range(5), repeat=2):
nv = (v + a + b) % 9
mapp[Vec(x + a * lx, y + b * ly)] = 9 if nv == 0 else nv
return find_shortest_path(mapp)
def check_hit(vel, target):
pos = Vec(0, 0)
while True:
pos, vel = step(pos, vel)
if pos in target:
return True
elif pos[1] < target.lower[1] and vel[1] < 0:
return False
def check_x_hit(vel, target):
pos = Vec(0, 0)
while True:
pos, vel = step(pos, vel)
if target.lower[0] <= pos[0] <= target.upper[0]:
return True
elif vel[0] == 0:
return False
def part2(inp):
return reduce(
operator.mul,
reduce(
operator.add,
map(
lambda x: Vec(x[1], x[0] * x[1]),
zip(accumulate(dirs[d][1] * n for d, n in inp),
(dirs[d][0] * n for d, n in inp)))))
def part2(inp):
boundary = {Vec(1, 1)}
visited = boundary.copy()
for _ in range(50):
nb = set()
for b in boundary:
for d in dirs4:
nc = b + d
if nc not in visited and is_non_negative(nc) and not is_wall(
nc, inp):
nb.add(nc)
visited.add(nc)
boundary = nb
return len(visited)
def part1(inp):
boundary = {Vec(1, 1)}
visited = boundary.copy()
for i in count(1):
nb = set()
for b in boundary:
for d in dirs4:
nc = b + d
if nc == (31, 39):
return i
if nc not in visited and is_non_negative(nc) and not is_wall(
nc, inp):
nb.add(nc)
visited.add(nc)
boundary = nb
def part2(inp):
mapp = {
Vec(x, y)
for y in range(128) for x, c in enumerate(knothash(f'{inp}-{y}'))
if c == '1'
}
regions = 0
while mapp:
regions += 1
boundary = {mapp.pop()}
while boundary:
current = boundary.pop()
for d in dirs4:
if d + current in mapp:
mapp.remove(d + current)
boundary.add(d + current)
return regions
def find_shortest_path(mapp):
start = Vec(0, 0)
goal = max(mapp, key=sum)
open_set = PriorityQueue()
open_set.put(start, 0)
g_score = defaultdict(lambda: math.inf, {start: 0})
while open_set:
current = open_set.get()
if current == goal:
return g_score[current]
for neighbor in (current + d for d in dirs4 if (current + d) in mapp):
tentative_g_score = g_score[current] + mapp[neighbor]
if tentative_g_score < g_score[neighbor]:
g_score[neighbor] = tentative_g_score
f_score = tentative_g_score + (neighbor - goal).manhatten()
open_set.put(neighbor, f_score)
def part2(inp):
mapp = inp.copy()
hole, holecap = next((c, a) for c, (u, a) in mapp.items() if u == 0)
boundary = {(hole, Vec(max(x for x, y in mapp if y == 0), 0))}
visited = boundary.copy()
for i in count(1):
nb = set()
for h, t in boundary:
for d in dirs4:
if h == (0, 0) and t == h + d:
return i
if mapp.get(h + d, (holecap + 1, 0))[0] <= holecap:
if h + d == t:
ns = (h + d, h)
else:
ns = (h + d, t)
if ns not in visited:
nb.add(ns)
visited.add(ns)
boundary = nb
def shortest_distance(pos, collected):
try:
return min(d + shortest_distance(p, collected.union({p}))
for p, d in distances_from_point(find(pos)).items() if p not in collected and p != '0')
except ValueError:
return 0
def part1():
return shortest_distance('0', frozenset())
@cache
def shortest_distance_return(pos, collected):
try:
return min(d + shortest_distance_return(p, collected.union({p}))
for p, d in distances_from_point(find(pos)).items() if p not in collected and p != '0')
except ValueError:
return distances_from_point(find(pos))['0']
def part2():
return shortest_distance_return('0', frozenset())
if __name__ == '__main__':
data = get_data(day=24, year=2016)
mapp = {Vec(x, y): c for y, l in enumerate(data.splitlines()) for x, c in enumerate(l)}
print(part1())
print(part2())
def part1(inp):
return max(map(abs, sum(map(dirs.get, inp), start=Vec(0, 0, 0))))
from itertools import accumulate
from aoc_utils import Vec
from aocd import get_data
# Use Hexagonal Cube Coordinates: https://www.redblobgames.com/grids/hexagons/
dirs = {
'n': Vec(0, -1, 1),
'ne': Vec(1, -1, 0),
'se': Vec(1, 0, -1),
's': Vec(0, 1, -1),
'sw': Vec(-1, 1, 0),
'nw': Vec(-1, 0, 1)
}
def part1(inp):
return max(map(abs, sum(map(dirs.get, inp), start=Vec(0, 0, 0))))
def part2(inp):
return max(
map(lambda x: max(abs(i) for i in x), accumulate(map(dirs.get, inp))))
if __name__ == '__main__':
data = get_data(day=11, year=2017)
inp = data.split(',')
print(part1(inp))
print(part2(inp))
for i in count(1):
nb = set()
for h, t in boundary:
for d in dirs4:
if h == (0, 0) and t == h + d:
return i
if mapp.get(h + d, (holecap + 1, 0))[0] <= holecap:
if h + d == t:
ns = (h + d, h)
else:
ns = (h + d, t)
if ns not in visited:
nb.add(ns)
visited.add(ns)
boundary = nb
if __name__ == '__main__':
data = get_data(day=22, year=2016)
inp = {
Vec(x, y): (u, a)
for x, y, u, a in (tuple(
map(
int,
re.match(
r'^/dev/grid/node-x(\d+)-y(\d+)\s+\d+T\s+(\d+)T\s+(\d+)T\s+\d+%$',
l).groups())) for l in data.splitlines()[2:])
}
print(part1(inp))
print(part2(inp))
from aoc_utils import Vec
from aocd import get_data
def part1(inp):
return min(((a.manhatten(), v.manhatten(), p.manhatten(), n) for n, (p, v, a) in enumerate(inp)))[3]
def move(p):
pos, vel, acc = p
vel += acc
pos += vel
return pos, vel, acc
def part2(inp):
parts = inp
for _ in range(100):
collisions = [p for p, n in Counter(p for p, _, _ in parts).items() if n > 1]
parts = [move(p) for p in parts if p[0] not in collisions]
return len(parts)
if __name__ == '__main__':
data = get_data(day=20, year=2017)
inp = [tuple(map(lambda x: Vec(*map(int, x.split(','))),
re.match(r'^p=<([\d,-]+)>, v=<([\d,-]+)>, a=<([\d,-]+)>$', l).groups()))
for l in data.splitlines()]
print(part1(inp))
print(part2(inp))
if c.isalpha():
res += c
def part2(mapp):
pos = next(c for c, v in mapp.items() if c[1] == 0 and v == '|')
d = Dir.DOWN
res = 1
while True:
if mapp.get(pos + d.value, None):
pass
elif mapp.get(pos + d.turn_left().value, None):
d = d.turn_left()
elif mapp.get(pos + d.turn_right().value, None):
d = d.turn_right()
else:
return res
pos += d.value
res += 1
if __name__ == '__main__':
data = get_data(day=19, year=2017)
inp = {
Vec(x, y): c
for y, l in enumerate(data.splitlines()) for x, c in enumerate(l)
if c != ' '
}
print(part1(inp))
print(part2(inp))
pos, vel = step(pos, vel)
if pos[1] < max_y:
return max_y
max_y = pos[1]
def part2(inp):
y_candidates = []
for i in range(min(0, inp.lower[1] - 1),
max(abs(y) for _, y in [inp.lower, inp.upper]) + 1):
if check_y_hit(Vec(0, i), inp):
y_candidates.append(i)
x_candidates = []
for i in range(min(0, inp.lower[0] - 1), max(0, inp.upper[0] + 1)):
if check_x_hit(Vec(i, 0), inp):
x_candidates.append(i)
return sum(
check_hit(Vec(x, y), inp) for x in x_candidates for y in y_candidates)
if __name__ == '__main__':
data = get_data(day=17, year=2021)
inp = tuple(
map(
int,
re.match(r'^target area: x=(-?\d+)..(-?\d+), y=(-?\d+)..(-?\d+)$',
data).groups()))
inp = Rect(Vec(inp[0], inp[2]), Vec(inp[1], inp[3]))
print(part1(inp))
print(part2(inp))
for neighbor in (current + d for d in dirs4 if (current + d) in mapp):
tentative_g_score = g_score[current] + mapp[neighbor]
if tentative_g_score < g_score[neighbor]:
g_score[neighbor] = tentative_g_score
f_score = tentative_g_score + (neighbor - goal).manhatten()
open_set.put(neighbor, f_score)
def part1(inp):
return find_shortest_path(inp)
def part2(inp):
mapp = {}
lx, ly = max(x for x, _ in inp) + 1, max(y for _, y in inp) + 1
for (x, y), v in inp.items():
for a, b in product(range(5), repeat=2):
nv = (v + a + b) % 9
mapp[Vec(x + a * lx, y + b * ly)] = 9 if nv == 0 else nv
return find_shortest_path(mapp)
if __name__ == '__main__':
data = get_data(day=15, year=2021)
inp = {
Vec(x, y): int(v)
for y, l in enumerate(data.splitlines()) for x, v in enumerate(l)
}
print(part1(inp))
print(part2(inp))
import math
from collections import defaultdict
from aoc_utils import Vec
from aocd import get_data
square = [
Vec(-1, -1),
Vec(0, -1),
Vec(1, -1),
Vec(-1, 0),
Vec(0, 0),
Vec(1, 0),
Vec(-1, 1),
Vec(0, 1),
Vec(1, 1),
]
def enhance(img, alg):
xmin = min(x for x, _ in img) - 1
xmax = max(x for x, _ in img) + 1
ymin = min(y for _, y in img) - 1
ymax = max(y for _, y in img) + 1
if img.default_factory():
default = alg[-1]
else:
default = alg[0]
return defaultdict(
lambda: default, {
Vec(x, y): alg[int(
def count_overlaps(inp, include_diagonals):
lines_per_point = defaultdict(lambda: 0)
for start, end in inp:
d = simplify(end - start)
if all(c != 0 for c in d) and not include_diagonals:
continue
lines_per_point[start] += 1
pos = start
while pos != end:
pos += d
lines_per_point[pos] += 1
return sum(n >= 2 for n in lines_per_point.values())
def part1(inp):
return count_overlaps(inp, False)
def part2(inp):
return count_overlaps(inp, True)
if __name__ == '__main__':
data = get_data(day=5, year=2021)
inp = [(Vec(a, b), Vec(c, d)) for a, b, c, d in
((tuple(map(int, a))) for a in
(re.match(r'(\d+),(\d+) -> (\d+),(\d+)', l).groups() for l in data.splitlines()))]
print(part1(inp))
print(part2(inp))
boundary = {lowpoint}
while boundary:
nb = set()
for p in boundary:
for d in dirs4:
if (p + d) not in basin and mapp.get(p + d, 9) < 9:
basin.add(p + d)
nb.add(p + d)
boundary = nb
return len(basin)
def part2(inp):
return reduce(
operator.mul,
sorted(
(calculate_basin_size(inp, p)
for p in (p for p, v in inp.items()
if v < min(inp.get(p + d, math.inf) for d in dirs4))),
reverse=True)[:3])
if __name__ == '__main__':
data = get_data(day=9, year=2021)
inp = {
Vec(x, y): int(n)
for y, l in enumerate(data.splitlines()) for x, n in enumerate(l)
}
print(part1(inp))
print(part2(inp))
import operator
from functools import reduce
from itertools import accumulate
from aoc_utils import Vec
from aocd import get_data
dirs = {
"forward": Vec(1, 0),
"down": Vec(0, 1),
"up": Vec(0, -1),
}
def part1(inp):
return reduce(
operator.mul,
reduce(lambda a, b: tuple(map(operator.add, a, b)),
(dirs[d] * n for d, n in inp)))
def part2(inp):
return reduce(
operator.mul,
reduce(
operator.add,
map(
lambda x: Vec(x[1], x[0] * x[1]),
zip(accumulate(dirs[d][1] * n for d, n in inp),
(dirs[d][0] * n for d, n in inp)))))
