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20f79adce5
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#!/usr/bin/env python
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import enum
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import heapq
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import sys
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from typing import Iterator, NamedTuple
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class Point(NamedTuple):
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x: int
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y: int
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class ParsedMaze(NamedTuple):
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start: Point
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end: Point
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blocks: set[Point]
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class Direction(enum.IntEnum):
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EAST = enum.auto()
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WEST = enum.auto()
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NORTH = enum.auto()
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SOUTH = enum.auto()
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def rotations(self) -> tuple["Direction", "Direction"]:
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match self:
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case Direction.EAST | Direction.WEST:
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return (Direction.NORTH, Direction.SOUTH)
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case Direction.NORTH | Direction.SOUTH:
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return (Direction.EAST, Direction.WEST)
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def step(self, p: Point) -> Point:
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dx: int
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dy: int
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match self:
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case Direction.EAST:
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dx, dy = 0, 1
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case Direction.WEST:
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dx, dy = 0, -1
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case Direction.NORTH:
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dx, dy = -1, 0
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case Direction.SOUTH:
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dx, dy = 1, 0
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return Point(p.x + dx, p.y + dy)
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Node = tuple[Point, Direction]
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def solve(input: str) -> int:
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def parse(input: list[str]) -> ParsedMaze:
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start: Point | None = None
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end: Point | None = None
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blocks: set[Point] = set()
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for x, line in enumerate(input):
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for y, c in enumerate(line):
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if c == ".":
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continue
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p = Point(x, y)
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if c == "S":
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start = p
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elif c == "E":
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end = p
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elif c == "#":
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blocks.add(p)
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else:
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assert False # Sanity check
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assert start is not None # Sanity check
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assert end is not None # Sanity check
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return ParsedMaze(start, end, blocks)
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def djikstra(start: Point, end: Point, blocks: set[Point]) -> int:
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def next_moves(
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pos: Point,
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dir: Direction,
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) -> Iterator[tuple[int, Point, Direction]]:
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transitions = [(1, dir.step(pos), dir)]
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for new_dir in dir.rotations():
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transitions.append((1000, pos, new_dir))
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for cost, pos, dir in transitions:
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if pos in blocks:
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continue
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yield cost, pos, dir
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# Priority queue of (distance, point, direction)
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queue = [(0, start, Direction.EAST)]
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seen: set[Node] = set()
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while len(queue) > 0:
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cost, p, dir = heapq.heappop(queue)
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if p == end:
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return cost
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# We must have seen (p, dir) with a smaller distance before
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if (p, dir) in seen:
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continue
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# First time encountering (p, dir), must be the smallest distance to it
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seen.add((p, dir))
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# Add all neighbours to be visited
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for n_cost, n, n_dir in next_moves(p, dir):
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heapq.heappush(queue, (cost + n_cost, n, n_dir))
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assert False # Sanity check
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start, end, blocks = parse(input.splitlines())
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return djikstra(start, end, blocks)
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def main() -> None:
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input = sys.stdin.read()
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print(solve(input))
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if __name__ == "__main__":
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main()
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@ -1,141 +0,0 @@
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#############################################################################################################################################
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#.....#...#...#...#...#.........#...#.#.......#...#...#...#...#.#.....#.#...#.#.#...#...#...#.............#.....#.........#.#.#...#...#.....#
|
||||
#.###.###.#.###.#.#.#.#############.#.#.#####.#.#.#####.#####.###.#####.###.#.#.###.#.#.###.###########.#######.#########.#.#.###.#.#.#.#####
|
||||
#...........#...#.#.#.....#...#...#...#.#...#...#...#...#...#...#...#...#.....#.#.#.#.....#.#.....#...#.#...#.#.......#...#.....#...#...#...#
|
||||
#.#######.#.#.###.#.#####.#.#.#.#.#######.#.#.#####.#.###.#.###.#.###.#########.#.#.#.###.#.#.#####.#.#.#.#.#.#####.#.#.###.#########.#.#.#.#
|
||||
#.....#...#.#...#.#.......#.#.#.#.........#.#...#...#.....#.#.#...#...#.....#...#.#...#.#.#...#.....#.#...#.#.......#.....#...#.....#.#...#.#
|
||||
#####.#.#.#.#####.#######.#.#.#.###.#.#####.#####.#########.#.#.###.#.#.###.#.###.#####.#.#####.#####.#####.#######.#.###.#####.###.#.#.###.#
|
||||
#...#...........#.#...#...#.#...#.#...#.........#.....#.....#.....#.#.#...#.#.#.........#.......#...#.....#.......#.#.....#.....#.#.#.....#.#
|
||||
#.#.#####.#.#.#.#.#.#.#.###.#####.#.#####.#####.#####.#.#.#####.###.#####.#.#.#.#######.#.#########.#.###.#######.#.#######.#####.#.###.###.#
|
||||
#.......#.#.#.#.#...#...#.#.#...#.#.....#.....#.......#.#.....#...#.....#.#...#.....#.#.#...........#.#...........#.......#.#...#.....#.....#
|
||||
#.#####.#.###.#.#.#######.#.#.#.#.#####.#.###.#########.#.###.###.###.###.#########.#.#.#.#####.#####.#.###########.#.###.#.#.#.#####.#.###.#
|
||||
#.#...#.#.#...#.#.......#.#...#...#...#.#.#.#...........#...#.....#.#.#...#.........#...#.#.#...#.....#...#.......#...#.#.#.#.....#.#.#.#...#
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||||
#.#.#.#.#.#.###.#.#####.#.#######.#.#.#.#.#.###############.#####.#.#.#.###.###.#####.#.#.#.#.###.###.###.###.#.#.#.###.#.#.#.###.#.#.#.###.#
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||||
#...#...#.#.#.#...#...#...#.......#.#.....#...............#.....#...#...#.#.#...#.....#.#.#.....#.#.#...#...#.#.#...#.....#.#.....#.#.......#
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||||
#.#####.#.#.#.#.###.#.###.#.#######.#.#####.#.###########.#.###.#####.###.#.#.###.#####.#.#.#####.#.###.###.###.#####.#####.###.#.#.#.###.#.#
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||||
#.#...#...#.#.#.....#...#.#.........#.......#.......#.......#.#.........#...#.#...#.....#.#...#...#.......#...#.#.....#.......#.#.#.#.#...#.#
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||||
#.#.#.###.#.#.#########.#.#####.###.#########.#.#####.#####.#.#######.###.###.#.###.#####.#.###.#.#######.###.#.#.#####.#######.#.#.#.#.#####
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||||
#.#...........#...#.#...#...#...#...#...#.....#.......#.............#.#...#...#...#.......#.#.....#.........#...#...#...........#.#...#.....#
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||||
#.#.#.#######.#.#.#.#.#.###.#.###.###.###.#############.#############.#.###.###.#.#.#########.###.#.#.#####.#######.#.###########.#.#.#.###.#
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||||
#...#.#.....#...#.#.#...#...#.#.....#.#...#...........#.#...........#.#.#.#.#.#.#...#.....#...#...#.#.....#...#...#.#.#...#...#...#...#...#.#
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||||
#.###.#.#.#######.#.###.#####.#.###.#.#.###.#####.###.###.#####.#.#.#.#.#.#.#.#.#####.###.#.#.#####.#####.#####.#.#.#.#.#.#.###.#####.#####.#
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||||
#...#.#.#.......#...#.#.#...#.#.#...#.#...#...#.......#...#.....#.#...#...#.#...#...#.#.....#.#.....#.....#...#.#...#...#...#...#...........#
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||||
#####.#.#######.#.#.#.#.#.#.#.#.#.###.###.###.###.#####.#####.###.#####.#.#.###.#.#.#.#########.#####.###.#.#.#.#######.###.#.###############
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||||
#.....#.#...#...#...#.#.#.#.....#.#.........#...#.#...#.....#.....#.....#.#...#...#.#.#.........#...#.#...#.#...#...#.....#.#.#.............#
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#.###.#.#.#.#.###.###.#.#.#####.#.#########.###.#.#.#.###.#.#######.#.###.###.#####.#.#.###########.#.#####.#######.#.#.###.#.#.###########.#
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||||
#...#.#.#.#.#.....#...#.#...#...#.........#.#...#...#...#.#.......#.#.....#.#.#.....#...#.....#.....#.......#.....#...#.#...#.......#.......#
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#.#.#.#.#.#########.#.#.###.#############.#.#.#########.#.#######.#.#######.#.###############.#.#.###.#######.###.###.#.#.#########.#.#.#.#.#
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#.#.#.#.#...........#.#...#.#...#.......#.#.#.#.....#.#.#.......#.....#.........#...........#...#.#.........#...#...#.#...................#.#
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||||
#.#.###.#.#######.###.###.#.#.#.#.#####.#.#.#.#.###.#.#.###.#########.#.###.###.#.#.###.###.#####.#.#####.#.###.#.#.#.#########.#.#.#.#.###.#
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||||
#.#.....#.#.....#.#.....#.#.#.#...#...#.#.#.#...#...#.#.#...#.......#...#.#...#...#.....#.#.#...#.......#.#.#...#...#.#.........#.#...#.#...#
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||||
#.#######.#.###.#.###.#.#.#.#.#####.###.#.#.#.###.###.#.#.###.#####.#####.###.#####.###.#.#.#.#.#####.###.#.#.###.#####.#########.#######.#.#
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||||
#...#.....#.#...#...#...#.#...#...#.....#.#.#...#.#.....#...#.#...#.#...#.........#.#.#.....#.#...........#...#.#.......#.......#.....#...#.#
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||||
###.#.#####.#.#####.###.#.#######.#.#####.#.#####.#.#####.###.#.###.###.#.#####.###.#.#.###.#.#############.#.#.#########.#####.#####.#.###.#
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||||
#.#.#.....#.#.#...#...#.#...#.....#.#.....#.......#...#...#...#.......#.........#...#.#.#.......#.........#...#.....#.....#.#...#.....#...#.#
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||||
#.#.#####.#.#.#.#.###.#####.#.#.#.#.#.#.###########.#.#.###.#########.#######.#.#.###.#.#.#.###.#########.#######.#.#.#####.#.###.#######.#.#
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||||
#...#...#.#.#...#.#...#...#.#.#.#.#.#.#.#...#.........#.#...#.....#...#.....#...#...#...#.#...#.#...#.......#.....#...#.......#...#.......#.#
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#.#.#.#.#.#######.#.###.#.#.#.#.###.#.#.#.#.#######.#.###.###.###.#.###.###.#######.#.###.#.#.#.#.#.#.#####.#.#########.#######.###.###.###.#
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||||
#.#...#.#...#...........#.........................#.....#...............#.#.........#.#...#.#.#...#.#...#.#.#...#.....#.#.......#.....#...#.#
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||||
#.#.###.###.#.###.###.###.###########.#.#.#######.#.###.###.###.#.#.#.###.###########.#####.#.###.#.#.#.#.#.###.#.#####.#.#######.#######.#.#
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||||
#...#...#...#.#.#.#...#.........#...#.#.#.....#.#.....#...#.#...#.#...#.............#.#.....#...#.#.#.#.#.......#.......#.........#.......#.#
|
||||
###.#.###.###.#.#.#.#.#.#######.#.#.#.#.#####.#.#####.###.#.#.#.#.#######.#####.#.###.#.#.#.###.#.#.###.#######.#####.#####.###.#.#.#######.#
|
||||
#...#.#.#.....#...#.#...#.....#.#.#...#.#.........#...#.#.#.....................#...#...#...#.#.#.#...#.....#.#.#...#.......#...#.#...#...#.#
|
||||
#.#.#.#.#.#####.###.#.###.###.#.#.#######.#######.#.###.#.###.#.###.#.#.###.#.###.#.#######.#.#.#####.#.###.#.#.#.#.#######.#.#######.#.#.#.#
|
||||
#.....#...#...#...#.#.....#...#.#.........#.....#.#.#.#...#.......#...#...#.#...#.#...........#.....#.#...#.#...#.#.......#.#...#...#...#.#.#
|
||||
#.#.#######.#.#####.#.#.#####.#.#####.#####.###.###.#.#.###.#.###########.#.###.#.#####.###.#.#####.#.###.#.#####.#######.#.#.#.#.#.#####.#.#
|
||||
#.#.....#...#.#.....#.#.#...#.#.....#.....#.#.#...#.#.#...#...#.......................#...#...#...#.#...................#.#...#.#.#.#.......#
|
||||
#.###.#.#.###.#.#####.#.#.#.#######.#######.#.###.#.#.###.###.#.#######.#####.###.#.#.###.#.###.#.#.###.#.#.#.#####.###.#.#####.#.#.#.#####.#
|
||||
#S....#...#.....#.....#...#.................#.......#...........#.............#.....#...#.......#.....................................#.....#
|
||||
#############################################################################################################################################
|
|
@ -1,148 +0,0 @@
|
|||
#!/usr/bin/env python
|
||||
|
||||
import enum
|
||||
import heapq
|
||||
import sys
|
||||
from collections import defaultdict
|
||||
from typing import Iterator, NamedTuple
|
||||
|
||||
|
||||
class Point(NamedTuple):
|
||||
x: int
|
||||
y: int
|
||||
|
||||
|
||||
class ParsedMaze(NamedTuple):
|
||||
start: Point
|
||||
end: Point
|
||||
blocks: set[Point]
|
||||
|
||||
|
||||
class Direction(enum.IntEnum):
|
||||
EAST = enum.auto()
|
||||
WEST = enum.auto()
|
||||
NORTH = enum.auto()
|
||||
SOUTH = enum.auto()
|
||||
|
||||
def rotations(self) -> tuple["Direction", "Direction"]:
|
||||
match self:
|
||||
case Direction.EAST | Direction.WEST:
|
||||
return (Direction.NORTH, Direction.SOUTH)
|
||||
case Direction.NORTH | Direction.SOUTH:
|
||||
return (Direction.EAST, Direction.WEST)
|
||||
|
||||
def step(self, p: Point) -> Point:
|
||||
dx: int
|
||||
dy: int
|
||||
|
||||
match self:
|
||||
case Direction.EAST:
|
||||
dx, dy = 0, 1
|
||||
case Direction.WEST:
|
||||
dx, dy = 0, -1
|
||||
case Direction.NORTH:
|
||||
dx, dy = -1, 0
|
||||
case Direction.SOUTH:
|
||||
dx, dy = 1, 0
|
||||
|
||||
return Point(p.x + dx, p.y + dy)
|
||||
|
||||
|
||||
Node = tuple[Point, Direction]
|
||||
|
||||
|
||||
def solve(input: str) -> int:
|
||||
def parse(input: list[str]) -> ParsedMaze:
|
||||
start: Point | None = None
|
||||
end: Point | None = None
|
||||
blocks: set[Point] = set()
|
||||
for x, line in enumerate(input):
|
||||
for y, c in enumerate(line):
|
||||
if c == ".":
|
||||
continue
|
||||
p = Point(x, y)
|
||||
if c == "S":
|
||||
start = p
|
||||
elif c == "E":
|
||||
end = p
|
||||
elif c == "#":
|
||||
blocks.add(p)
|
||||
else:
|
||||
assert False # Sanity check
|
||||
assert start is not None # Sanity check
|
||||
assert end is not None # Sanity check
|
||||
return ParsedMaze(start, end, blocks)
|
||||
|
||||
def count_path_cells(start: Point, end: Point, blocks: set[Point]) -> int:
|
||||
def next_moves(
|
||||
pos: Point,
|
||||
dir: Direction,
|
||||
) -> Iterator[tuple[int, Point, Direction]]:
|
||||
transitions = [(1, dir.step(pos), dir)]
|
||||
for new_dir in dir.rotations():
|
||||
transitions.append((1000, pos, new_dir))
|
||||
for cost, pos, dir in transitions:
|
||||
if pos in blocks:
|
||||
continue
|
||||
yield cost, pos, dir
|
||||
|
||||
def get_all_predecessors(
|
||||
predecessors: dict[Node, set[Node]],
|
||||
) -> set[Point]:
|
||||
queue = {(end, dir) for dir in Direction}
|
||||
visited: set[Node] = set()
|
||||
while queue:
|
||||
cur = queue.pop()
|
||||
visited.add(cur)
|
||||
for pred in predecessors[cur]:
|
||||
if pred in visited:
|
||||
continue
|
||||
queue.add(pred)
|
||||
return set(p for p, _ in visited)
|
||||
|
||||
# Priority queue of (distance, point)
|
||||
queue = [(0, start, Direction.EAST)]
|
||||
seen: set[Node] = set()
|
||||
predecessors: dict[Node, set[Node]] = defaultdict(set)
|
||||
predecessor_cost: dict[Node, int] = {}
|
||||
# Use an invalid maximum cost to simplify the loop
|
||||
max_cost: int = -1
|
||||
|
||||
while len(queue) > 0:
|
||||
cost, p, dir = heapq.heappop(queue)
|
||||
# Did we go past the optimal cost, if so stop the loop
|
||||
if max_cost > 0 and cost > max_cost:
|
||||
break
|
||||
# Otherwise, record the minimum cost
|
||||
if p == end:
|
||||
max_cost = cost
|
||||
# We must have seen (p, dir) with a smaller distance before
|
||||
if (p, dir) in seen:
|
||||
continue
|
||||
# First time encountering (p, dir), must be the smallest distance to it
|
||||
seen.add((p, dir))
|
||||
# Add all neighbours to be visited
|
||||
for n_cost, n, n_dir in next_moves(p, dir):
|
||||
n_cost += cost
|
||||
# Record predecessors
|
||||
if predecessor_cost.setdefault((n, n_dir), n_cost) > n_cost:
|
||||
predecessor_cost[(n, n_dir)] = n_cost
|
||||
predecessors[(n, n_dir)] = {(p, dir)}
|
||||
elif predecessor_cost[(n, n_dir)] == n_cost:
|
||||
predecessors[(n, n_dir)].add((p, dir))
|
||||
heapq.heappush(queue, (n_cost, n, n_dir))
|
||||
|
||||
# Run back up the tree of predecessors to count all cells
|
||||
return len(get_all_predecessors(predecessors))
|
||||
|
||||
start, end, blocks = parse(input.splitlines())
|
||||
return count_path_cells(start, end, blocks)
|
||||
|
||||
|
||||
def main() -> None:
|
||||
input = sys.stdin.read()
|
||||
print(solve(input))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
|
@ -1,141 +0,0 @@
|
|||
#############################################################################################################################################
|
||||
#.......#...#.....#.......#.........#.#.............#...........#.......#...............#.........#...........#...#.......#.......#.......#E#
|
||||
#.#####.#.###.#.#.#.#.#.#.#.#.#####.#.#.###.###.###.###.#####.#.###.#.#.#.#####.#######.#.#######.#####.#####.#.#.#.###.#.#.###.#.#.#.###.#.#
|
||||
#.....#.#.....#.#.#.#.#...#.#.....#...#.#...#...#.#...#.#.....#...#.#.#.....#...#...#...#...#...#.#.....#...#.#.#...#.....#.#...#.#.#.#.....#
|
||||
#.###.#.#.#####.###.#.#.###.#####.#.###.#.#.#.###.###.###.#######.#.#.#######.###.###.#####.#.#.#.#.#####.#.#.#.#####.#######.#.#.###.#####.#
|
||||
#.#.................#.#.#...#...#.#.#...#.#.#.#.....#.....#...#...#...#.......#.......#.....#.#.#.#.......#.#.#...#...........#.......#...#.#
|
||||
#.#.#.#.#####.#######.#.#.###.###.#.#.###.#.#.#.#.#.#######.###.#######.#########.#####.#####.#.#.#######.#.#.###.#.###########.#####.#.#.###
|
||||
#...#.#...#.#.#...#...#.#.#...#...#.#...#.#.#.#.#...........#...#.......#...................#.#.#.......#.#.#.....#.#.........#.......#.#...#
|
||||
###.#.###.#.#.#.###.#.#.#.###.#.#######.#.#.#.###.###.###.#.#.#####.#.###.#.###.#.#########.#.#######.#.###.###.#####.#######.#.#####.#.###.#
|
||||
#...#...#.#...#.#...#...#.#...#...#...#.#.#.#...#...#.#...#...#.....#.....#.....#.......#...#.#.......................#.....#.......#...#.#.#
|
||||
#.#.###.#.#.###.#.###.#.#.#.#####.#.#.#.#.#.###.#.#.###.#######.#####.#####.###.#######.#.###.#.#.###.#.#.#######.#######.#.#######.#.###.#.#
|
||||
#.#.....#.#...#.#.........#.....#...#.#.#.........#...#.....#.#.......#...#...#...#.....#.#.#...#...#...#.......#...#.....#.#.............#.#
|
||||
#.#######.###.#.#####.#.#.###.#.#####.#.#.#######.###.#####.#.#.#####.#.#.###.#.#.#.#####.#.#.#####.#.###.#####.###.#.#.###.#.#.#.###.#.#.#.#
|
||||
#.....#...#.........#...#.....#.#...#...#.#.....#.#.#.....#.#.....#...#.#.....#.#.#.#.....#.#...#...#.#.......#...#.#.#.#.....#.#...#.#...#.#
|
||||
#####.#.###.#########.#.#.###.###.#.#.###.###.#.#.#.#####.#.#####.#.#.#.#######.###.#.#.###.###.#.###.#########.###.#.#.#######.###.#.###.#.#
|
||||
#.....#.#.......#.....#.....#.#...#.#...#...#.#...#.......#.........#.#.#...#.......#.#...#.....#...#.#.......#...#.#.#.#.......#.#.#.......#
|
||||
#.#####.###.###.#.#########.###.###.#####.#.#.###.###.#.#####.#.#######.#.###.#.#####.###.#########.#.#.#####.#.#.#.#.#.#.#######.#.#.#####.#
|
||||
#.#.....#...#...#.......#.#.#...#.....#.....#.#.......#.#...#.#...#...#.#...#.#.......#.#.#.....#...#...#...#.#.#...#.#.#.......#.#.#.....#.#
|
||||
#.###.###.#.#.###.#####.#.#.#.#######.#.#####.#.#######.#.#.#.#.###.#.#.#.#.#.#####.###.#.#.###.#.#######.###.#.#######.#######.#.#.#.###.#.#
|
||||
#...#...#...#.#...#.....#...#.#...#.#...#...#.#...#...#...#...#.#...#.#.#.#...#...#...#.#.....#.#.......#.#...#.........#.....#.#.#...#.....#
|
||||
#.#.###.###.#.#####.#####.###.#.#.#.#######.#.###.#.#.#########.#.###.#.#.#####.#.###.#.#######.#.#.###.#.#.###########.###.#.#.#.###.#####.#
|
||||
#.#...#.....#.......#.........#.#.#.........#...#...#...........#.#.....#...#...#.#...#.#.....#.#.#.#.#.#.#.......#...#...#.#.#.#.#.........#
|
||||
#####.#.#.#.#########.#######.#.#.###.#########.#.#############.#.#########.#.###.#.###.#.###.#.###.#.#.#.#######.#.#.###.#.#.#.#.#.#.#.#.#.#
|
||||
#.....#...#...............#...#.#...#.........#.#...#.....#...#.#.......#.#.#.#...#.#...#.#...#.#...#.......#.....#.#.#...#.#.#.#.....#.#.#.#
|
||||
#.#####.###.#####.###.#.###.#.#.###.###.###.###.###.#.###.#.#.#.#######.#.#.#.#.###.#.###.#.###.#.###########.#####.###.#####.#.#####.#.#.#.#
|
||||
#.....#...#.....#...#.#...#.#.#...#...#...#...#.....#.#.....#.......#...#.#.#.#...#...#...#.#...#.#.....#...#.....#...#.......#.#...#...#.#.#
|
||||
#####.#.#.#.###.###.###.#.#.#.###.###.###.###.###.#.###.#.#.#.#####.#.###.#.#.###.###.#.###.#.###.#.###.#.#.#####.###.###.#####.#.#.#.#.#.###
|
||||
#.....#.......#.#.#...#.#.#...#.....#.#...#.#.#...#.....#...#.#.....#.#...#.#.#.......#.#.#...#...#...#...#.....#...#.....#...#...#.#.#.#...#
|
||||
#.#####.###.#.#.#.###.###.#.###.#####.#.###.#.#.###########.#.#.#.###.#.###.#.#####.###.#.#####.###.###########.###.#######.#.#.###.#.#.###.#
|
||||
#...........#.#.....#...#...#...#.#.........#.#...........#...#.#.....#.....#.#...#...#.#.....#...#.#.............#...#.....#.#...#.#...#.#.#
|
||||
#.#####.###.#######.###.#####.###.#.###.#####.###.#####.#.#.#.###.#####.###.#.#.#.###.#.#####.#.#.#.#.###.###########.#.#####.###.#.#.#.#.#.#
|
||||
#.#...#...#...........#.....#.....#.#.#.#...#.....#...#...#.#.....#.#...#...#...#.#.#.#.....#.#.#.#.#.#...#.........#...#...#.#...#.....#.#.#
|
||||
#.###.#.#.#.#############.#.###.###.#.#.#.#.#.#.#.#.#.#.###.#######.#.#####.#.###.#.#.#####.#.#.#.#.#.#.###.#######.#####.#.#.#.#####.#.#.#.#
|
||||
#...............#.......#.#.....#...#.#.#.#.#.#.#...#.#...#.#...#...#.#.....#.#.#.#.#...#...#...#...#.#...#.................#.#...#.......#.#
|
||||
#######.#######.#.#.###.#.#######.###.#.#.#.###.#########.#.#.###.#.#.#.#.###.#.#.#.###.#.#########.#.###########.#########.#.###.###.#.###.#
|
||||
#...#...#.#...#.#.....#.#...#...#...#...#.#...#.....#...#...#.#...#.#.#.#...#...#.#.#...#.#...#...#.#.........#...#.....#...#...#.......#...#
|
||||
#.#.#.###.#.#.#.#.#.#.#.###.###.###.###.#.###.###.#.#.#.#####.#.###.#.#.###.###.#.#.#.###.#.#.#.#.#######.###.#.###.###.#.#.###.#######.#.###
|
||||
#.#...#...#.#.#.#.#...#.#.........#...#.#...#...#...#.#.#.....#.#.#...#...#.....#.#.....#...#...#.......#...#.#...#.#.#.#.#.#...#...#...#...#
|
||||
#.#####.#.#.#.#.###.###.#############.#.###.###.#.#.#.#.#.###.#.#.###.###.#######.#####.#.#############.#.###.###.#.#.#.#.###.#####.#.#.###.#
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#############################################################################################################################################
|
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Reference in a new issue