#!/usr/bin/env python3
import operator
from functools import reduce
import numpy as np
from skimage.segmentation import flood_fill


arr = np.array([[int(n) for n in line.strip()] for line in open("input.txt")])

borders = np.zeros_like(arr)
borders[arr == 9] = 1
curr_sum = np.sum(borders)
areas = []
while np.shape(nxt := np.array(np.where(borders == 0))) != (2, 0):
    borders = flood_fill(borders, tuple(nxt[:, 0]), 1, tolerance=0, connectivity=1)
    areas.append(-curr_sum + (curr_sum := np.sum(borders)))
print(reduce(operator.mul, sorted(areas)[-3:]))