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