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import collections
import heapq as heap
import sys

def neighbours(p):
    return [(p[0]+1, p[1]), (p[0]-1, p[1]), \
            (p[0], p[1]+1), (p[0], p[1]-1)]

def draw(map, pos=None, keys={}, doors={}, path={}, visited={}, dead=set()) -> str:
    min_x=max_x=min_y=max_y = 0
    for p in map:
        min_x = min(p[0], min_x)
        max_x = max(p[0], max_x)
        min_y = min(p[1], min_y)
        max_y = max(p[1], max_y)
    s = ""
    for y in range(min_y-1, max_y+2):
        s += "\n"
        for x in range(min_x-1, max_x+2):
            point = (x, y)
            if pos is not None and point == pos:
                s += "@"
            elif point in keys:
                s += keys[point]
            elif point in doors:
                s += doors[point]
            elif point in path:
                s += "\u2591"
            elif point in visited:
                s += "."
            elif point in dead:
                s += "X"
            elif point in map:
                if map[point] == "#":
                    s += "\u2588"
                else:
                    s += " "
            else:
                s += "."
    return s

def avail(map, start, items, dead, ignore=set()):
    visited = set()
    avail = []
    q = collections.deque()
    q.append((0, start))
    while len(q) > 0:
        cur = q.popleft()
        dist = cur[0]
        pos = cur[1]
        if pos in items and pos != start:
            avail.append((dist, pos, items[pos]))
            continue
        for n in neighbours(pos):
            if (n in map and map[n] == "#") or n in dead or n in visited or n in ignore:
                continue
            visited.add(n)
            q.append((dist+1, n))
    return avail

def avail_keys(map, keys, doors, graph, start, keys_left, unlocked_doors):
    visited = set()
    avail = []
    h = []
    heap.heappush(h, (0, start))
    while len(h) > 0:
        dist, cur_key = heap.heappop(h)
        if cur_key != start and cur_key.islower() and cur_key in keys_left:
            avail.append((dist, cur_key))
            continue
        for n in graph[cur_key]:
            if n[0].isupper() and n[0] not in unlocked_doors:
                continue
            if n[0] in visited:
                continue
            visited.add(n[0])
            heap.heappush(h, (dist + n[1], n[0]))
    return avail

def pt1(input):
    map = {}
    map_keys = {}
    map_doors = {}
    map_keys_doors = {}
    walls = set()
    tiles = set()

    for y in range(len(input)):
        for x in range(len(input[y].strip())):
            c = input[y][x]
            p = (x,y)
            if c == "@":
                start = p
                map[p] = "."
            elif c.isalpha():
                if c.isupper():
                    map_doors[p] = c
                else:
                    map_keys[p] = c
                map[p] = "."
            elif c == "#":
                walls.add(p)
                map[p] = c
            elif c == ".":
                tiles.add(p)
                map[p] = c
    map_keys_doors.update(map_keys)
    map_keys_doors.update(map_doors)

    dead = set()
    for _ in range(10):
        #TODO repeat until no further changes are done
        ends = set()
        intersections = set()
        for tile in tiles:
            num_walls = 0
            for n in neighbours(tile):
                if n in walls or n in dead:
                    num_walls += 1
            if num_walls == 3:
                ends.add(tile)
            elif num_walls < 2:
                intersections.add(tile)

        for end in ends:
            cur = end
            while cur not in intersections and cur not in map_keys and cur not in map_doors:
                dead.add(cur)
                if cur in tiles:
                    tiles.remove(cur)
                for n in neighbours(cur):
                    if n not in walls and n not in dead:
                        cur = n
                        break

    paths = {}  # every path available between a door and a key
    start_paths = {}  # every path available from the starting point

    graph = {}  # {node: [children as tuples with name and distance]}
    for ent, s in map_keys_doors.items():
        for a in avail(map, ent, map_keys_doors, dead):
            paths[(s, a[2])] = a[0]
            graph[s] = graph.get(s, []) + [(a[2], a[0])]
    for a in avail(map, start, map_keys, dead, map_doors):
        start_paths[("@", map_keys[a[1]])] = a[0]

    h = []
    for path, dist in start_paths.items():
        cur = path[1]
        keys_left = set(map_keys.values()).copy()
        keys_left.remove(cur)
        unlocked = set()
        unlocked.add(cur.upper())
        key_path = [cur]
        heap.heappush(h, (dist, cur, keys_left, unlocked, key_path))

    best = len(map_keys)
    seen = set()

    while True:
        dist, key, keys_left, unlocked, key_path = heap.heappop(h)
        if (frozenset(key_path), key) in seen:
            continue
        seen.add((frozenset(key_path), key))
        if len(keys_left) == 0:
            return dist
        if len(keys_left) < best:
            best = len(keys_left)
        for new_dist, new_key in avail_keys(map, map_keys, map_doors, graph, key, keys_left, unlocked):
            new_keys_left = keys_left.copy()
            new_keys_left.remove(new_key)
            new_unlocked = unlocked.copy()
            new_unlocked.add(new_key.upper())
            new_key_path = key_path.copy()
            new_key_path.append(new_key)
            heap.heappush(h, (dist + new_dist, new_key, new_keys_left, new_unlocked, new_key_path))

if __name__ == "__main__":
    print(pt1(open("../input/18-1", "r").readlines()))
    print(pt2(open("../input/18-2", "r").readlines()))