advent-of-code/2022/d24/ex1/ex1.py

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2022-12-24 14:53:27 +01:00
#!/usr/bin/env python
import dataclasses
import enum
import sys
from collections import defaultdict, deque
from collections.abc import Iterator
from typing import NamedTuple
class Point(NamedTuple):
x: int
y: int
def __add__(self, other):
if not isinstance(other, Point):
return NotImplemented
return Point(self.x + other.x, self.y + other.y)
def __sub__(self, other):
if not isinstance(other, Point):
return NotImplemented
return Point(self.x - other.x, self.y - other.y)
class Direction(str, enum.Enum):
UP = "^"
DOWN = "v"
LEFT = "<"
RIGHT = ">"
def to_delta(self) -> Point:
match self:
case Direction.UP:
return Point(-1, 0)
case Direction.DOWN:
return Point(1, 0)
case Direction.LEFT:
return Point(0, -1)
case Direction.RIGHT:
return Point(0, 1)
@dataclasses.dataclass
class ValleyMap:
start: Point
goal: Point
valley_corners: tuple[Point, Point]
tornadoes: dict[Point, Direction]
@classmethod
def from_input(cls, input: list[str]) -> "ValleyMap":
tornadoes: dict[Point, Direction] = {}
for x, line in enumerate(input, start=1):
for y, c in enumerate(line, start=1):
if c in ("#", "."):
continue
tornadoes[Point(x, y)] = Direction(c)
return cls(
# Start position is always above the upper left corner of valley
start=Point(1, 2),
# Goal position is always under the lower left corner of valley
goal=Point(len(input), len(input[0]) - 1),
# Valley is surrounded by walls, except entrance and exit
valley_corners=(Point(2, 2), Point(len(input) - 1, len(input[0]) - 1)),
tornadoes=tornadoes,
)
def _is_in_valley(self, p: Point) -> bool:
# Valley also includes start/end
if p in (self.start, self.goal):
return True
# Otherwise, just do a bounds check for inside the walls
((minx, miny), (maxx, maxy)) = self.valley_corners
return (minx <= p.x <= maxx) and (miny <= p.y <= maxy)
def _wrap_tornado(self, p: Point) -> Point:
if self._is_in_valley(p):
return p
x, y = p
h = self.valley_corners[1].x - self.valley_corners[0].x + 1
w = self.valley_corners[1].y - self.valley_corners[0].y + 1
if x == 1:
x += h
if y == 1:
y += w
if x > self.valley_corners[1].x:
x -= h
if y > self.valley_corners[1].y:
y -= w
return Point(x, y)
def navigate(self) -> int:
TornadoesMap = dict[Point, list[Direction]]
def move_tornadoes(map: TornadoesMap) -> dict[Point, list[Direction]]:
res: dict[Point, list[Direction]] = defaultdict(list)
for p, tornadoes in map.items():
for t in tornadoes:
new_pos = self._wrap_tornado(p + t.to_delta())
res[new_pos].append(t)
return dict(res)
def moves(p: Point) -> Iterator[Point]:
yield p
for dx, dy in ((-1, 0), (1, 0), (0, -1), (0, 1)):
yield p + Point(dx, dy)
# Do a BFS to find the fastest route
queue: deque[tuple[int, Point]] = deque([(0, self.start)])
seen: set[tuple[int, Point]] = set()
tornado_history = [{p: [t] for p, t in self.tornadoes.items()}]
while queue:
dist, pos = queue.popleft()
# If goal found, return total distance
if pos == self.goal:
return dist
# Check that we don't do redundant work
if (dist, pos) in seen:
continue
seen.add((dist, pos))
if len(tornado_history) <= (dist + 1):
tornado_history.append(move_tornadoes(tornado_history[-1]))
for new_pos in moves(pos):
# Can't move into the walls, but can move in start/end
if not self._is_in_valley(new_pos):
continue
# Can't occupy same space as tornadoes
if new_pos in tornado_history[dist + 1]:
continue
# Enqueue this move to the search space
queue.append((dist + 1, new_pos))
assert False # Sanity check
def solve(input: list[str]) -> int:
valley = ValleyMap.from_input(input)
return valley.navigate()
def main() -> None:
input = sys.stdin.read().splitlines()
print(solve(input))
if __name__ == "__main__":
main()