import fileinput

data = []
for inp in fileinput.input():
    val = inp.strip()
    if val != '':
        data.append(val)

commons = []
epsilon = []
gamma = []
charLen = len(data[0])
lineLen = len(data)
for i in range(charLen):
	count = 0
	for j in range(lineLen):
		if data[j][i] == '1':
			count += 1

	status = 'lt'
	#print(count, lineLen-count)
	if count == (lineLen-count): status = 'eq'
	if count > (lineLen-count): status = 'gt'
	
	if status == 'gt':
		most,least = '1', '0'
	else:
		most,least = '0', '1'

	gamma.append(most)
	epsilon.append(least)
	commons.append((status, most, least))

g = int(''.join(gamma), 2)
e = int(''.join(epsilon), 2)


def get_distribution(nbs):
	out = []
	for _i in range(len(nbs[0])):
		count = 0
		for _j in range(len(nbs)):
			if nbs[_j][_i] == '1': count += 1
		status = 'lt'
		if count == (len(nbs)-count): status = 'eq'
		if count > (len(nbs)-count): status = 'gt'
		most,least = ('1', '0') if status == 'gt' else ('0', '1')
		out.append((status, most, least))

	return out

def filter_item(mode, status, most, least, x, i, full):
	print(f'{mode=}, {status=}, {most=}, {least=}, {x=}, {i=}, {full=}')
	if mode:
		if status == 'eq':
			return x == '1'  # oxygen
		if x == most: return True
		
	if not mode: # co2
		if status == 'eq':
			return x == '0'
		if x == least: return True

	return False

def rating(inp, mode = True):
	nb = inp.copy()
	i = 0
	while len(nb) > 1:
		distri = get_distribution(nb)
		print(f'= {len(nb)} -> {nb} {distri=}')
		status, most, least = distri[i]
		nb = list(filter(lambda x: filter_item(mode, status, most, least, x[i], i, x), nb))
		i += 1
	print(f'after filter: {nb}')
	return int(nb[0], 2)

print(g, e)
print(g*e)

print(commons)
o = rating(data, True)
c = rating(data, False)
print('==')
print(o) # oxygen
print(c) # CO2
print(o*c)