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# [Day 14: Parabolic Reflector Dish](https://adventofcode.com/2023/day/14)

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import sys
from enum import Enum, auto
def parse(instr: str) -> tuple[str]:
return tuple(instr.splitlines())
class TiltDirection(Enum):
North = auto()
East = auto()
South = auto()
West = auto()
def flip_platform(p: tuple[str]) -> tuple[str]:
return tuple(map(lambda x: "".join(x), zip(*p)))
def tilt_platform(platform: tuple[str], direction: TiltDirection) -> tuple[str]:
if direction == TiltDirection.North or direction == TiltDirection.South:
platform = flip_platform(platform)
if direction == TiltDirection.North or direction == TiltDirection.West:
transformation = lambda x: x.replace(".O", "O.")
else:
transformation = lambda x: x.replace("O.", ".O")
res = []
for line in platform:
prev = ""
l = line
while prev != l:
prev = l
l = transformation(l)
res.append(l)
if direction == TiltDirection.North or direction == TiltDirection.South:
res = flip_platform(res)
return tuple(res)
def calc_north_load(platform: tuple[str]) -> int:
acc = 0
for y, line in enumerate(platform):
for x, char in enumerate(line):
if char != "O":
continue
acc += len(platform) - y
return acc
def one(instr: str):
platform = parse(instr)
platform = tilt_platform(platform, TiltDirection.North)
return calc_north_load(platform)
def two(instr: str):
platform = parse(instr)
ITERS = 1_000_000_000
i = 0
known = {}
jumped = False
while i < ITERS:
for direction in [
TiltDirection.North,
TiltDirection.West,
TiltDirection.South,
TiltDirection.East,
]:
platform = tilt_platform(platform, direction)
if not jumped:
if platform in known:
last_occurrence = known[platform]
period = i - last_occurrence
i += ((ITERS - i) // period) * period
jumped = True
else:
known[platform] = i
i += 1
return calc_north_load(platform)
def _debug(*args, **kwargs):
kwargs["file"] = sys.stderr
print(*args, **kwargs)
if __name__ == "__main__":
if len(sys.argv) < 2 or sys.argv[1] not in ["1", "2"]:
print("Missing day argument", file=sys.stderr)
sys.exit(1)
inp = sys.stdin.read().strip()
if sys.argv[1] == "1":
print(one(inp))
else:
print(two(inp))

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{
"1": [
{
"is": "136",
"input": "O....#....\nO.OO#....#\n.....##...\nOO.#O....O\n.O.....O#.\nO.#..O.#.#\n..O..#O..O\n.......O..\n#....###..\n#OO..#....\n\n"
}
],
"2": [
{
"is": "64",
"input": "O....#....\nO.OO#....#\n.....##...\nOO.#O....O\n.O.....O#.\nO.#..O.#.#\n..O..#O..O\n.......O..\n#....###..\n#OO..#....\n\n"
}
]
}

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@ -24,4 +24,5 @@ Solutions to the [2023 Advent of Code](https://adventofcode.com/2023).
| 10 - Pipe Maze | ★ ★ | Python | Thoroughly barked up two wrong trees then Googled an algo based on a thought and oops it just works? |
| 11 - Cosmic Expansion | ★ ★ | Python | Djikstra's and A* are the wrong way to do this (I tried both before engaging my brain) and then had to optimise various things for part 2 but nothing was horrendous. |
| 12 - Hot Springs | ★ ★ | Python | Some hints from the subreddit were needed but they got me well on my way to completing this. Memoisation is king, long live memoisation. |
| 13 - Point of Incidence | ★ ★ | Python | This one made me feel slightly intelligent. |
| 13 - Point of Incidence | ★ ★ | Python | This one made me feel slightly intelligent. |
| 14 - Parabolic Reflector Dish | ★ ★ | Python | Why do I always overcomplicate cycle detection?! |

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{"day": 12, "part": 2, "runner": "py", "min": 0.904543399810791, "max": 2.621077299118042, "avg": 1.316542136669159, "n": 100}
{"day": 13, "part": 1, "runner": "py", "min": 0.04506516456604004, "max": 0.1567397117614746, "avg": 0.059773361682891844, "n": 100}
{"day": 13, "part": 2, "runner": "py", "min": 0.06211209297180176, "max": 0.12923550605773926, "avg": 0.07918766498565674, "n": 100}
{"day": 14, "part": 1, "runner": "py", "min": 0.01713418960571289, "max": 0.02086782455444336, "avg": 0.01824690341949463, "n": 50}
{"day": 14, "part": 2, "runner": "py", "min": 0.48926782608032227, "max": 0.6927425861358643, "avg": 0.5653452634811401, "n": 50}