advent-of-code/2023/d17/ex1/ex1.py

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2023-12-17 12:59:15 +01:00
#!/usr/bin/env python
import functools
import heapq
import itertools
import sys
from collections.abc import Iterator
from enum import Enum
from types import NotImplementedType
from typing import NamedTuple
class Point(NamedTuple):
x: int
y: int
@functools.total_ordering
class Direction(Enum):
NORTH = Point(-1, 0)
SOUTH = Point(1, 0)
EAST = Point(0, 1)
WEST = Point(0, -1)
def apply(self, pos: Point) -> Point:
dx, dy = self.value
return Point(pos.x + dx, pos.y + dy)
def __le__(self, other: object) -> bool | NotImplementedType:
if not isinstance(other, Direction):
return NotImplemented
return self.value <= other.value
def solve(input: list[str]) -> int:
def parse(input: list[str]) -> dict[Point, int]:
res: dict[Point, int] = {}
for x, line in enumerate(input):
for y, c in enumerate(line):
res[Point(x, y)] = int(c)
return res
def possible_directions(
dir: Direction, in_a_row: int
) -> Iterator[tuple[Direction, int]]:
if in_a_row < 3:
yield dir, in_a_row + 1
DIRECTIONS = {
Direction.NORTH: (Direction.EAST, Direction.WEST),
Direction.SOUTH: (Direction.EAST, Direction.WEST),
Direction.WEST: (Direction.NORTH, Direction.SOUTH),
Direction.EAST: (Direction.NORTH, Direction.SOUTH),
}
yield from zip(DIRECTIONS[dir], itertools.repeat(1))
def minimal_path(map: dict[Point, int], start: Point, end: Point) -> int:
class PathNode(NamedTuple):
pos: Point
dir: Direction
in_a_row: int
QueueNode = tuple[int, PathNode]
# Start with arbitrary south direction with *0* in a row, to get correct neighbours
queue: list[QueueNode] = [(0, PathNode(start, Direction.SOUTH, 0))]
seen: set[PathNode] = set()
while queue:
dist, node = heapq.heappop(queue)
if node.pos == end:
return dist
# If we've already seen that exact node before, don't look at it again
if node in seen:
continue
# First time encountering those node conditions, record it
seen.add(node)
for dir, in_a_row in possible_directions(node.dir, node.in_a_row):
new_pos = dir.apply(node.pos)
if new_pos not in map:
continue
new_dist = dist + map[new_pos]
new_node = PathNode(new_pos, dir, in_a_row)
heapq.heappush(queue, (new_dist, new_node))
assert False # Sanity check
map = parse(input)
start = Point(0, 0)
end = Point(len(input) - 1, len(input[0]) - 1)
return minimal_path(map, start, end)
def main() -> None:
input = sys.stdin.read().splitlines()
print(solve(input))
if __name__ == "__main__":
main()