from itertools import product
from lib import get_data
from collections import defaultdict

data = get_data(__file__)


def neighbors(p):
    d = len(p)
    for xs in product(range(-1, 2), repeat=d):
        if all(x == 0 for x in xs):
            continue
        yield tuple([p[i] + xs[i] for i in range(len(xs))])


for d in [3, 4]:
    points = set()
    lines = data.splitlines()
    for y in range(len(lines)):
        for x in range(len(lines[0])):
            if lines[y][x] == "#":
                points.add(tuple([x, y] + [0] * (d - 2)))

    for _ in range(6):
        new_points = set()
        actives = defaultdict(int)
        for p in points:
            nbcount = 0
            for nb in neighbors(p):
                actives[nb] += 1
                if nb in points:
                    nbcount += 1
            if nbcount == 2 or nbcount == 3:
                new_points.add(p)
        for p, count in actives.items():
            if p in points:
                continue
            elif count == 3:
                new_points.add(p)
        points = new_points

    print(len(points))