def main():
numbers = read_numbers()
three = numbers[3][0]
place = [[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 0, 0, 0],
[0, 0, 1, 0, 0],
[0, 0, 0, 0, 0]]
for i in three:
print(i)
print()
BUBBLE_SIZE = 7
q = hello(three, place)
print("SIZE: ", len(q), len(q[0]))
for i in q:
print(i)
bubbled_place = make_bubble(place, BUBBLE_SIZE)
out_matrix(bubbled_place)
out_matrix(zip_bubbled_data(bubbled_place, BUBBLE_SIZE))
# важно чтобы id клеток разных регионов не пересекались!!!
r = Region(len(merge_input([make_bubble(place, BUBBLE_SIZE), hello(three, place)])), 5, 0)
for step in range(200):
s = 0
x = -1
y = -1
for i, I in enumerate(place):
for j, J in enumerate(I):
if place[i][j] == 1:
x, y = i, j
break
print("-----" * 10)
for i in place:
print(i)
print("-----" * 10)
for i, I in enumerate(place):
for j, J in enumerate(I):
place[i][j] = 0
if (x == -1 and y == -1) or step < 10:
while 1:
x = randrange(len(place))
y = randrange(len(place))
place[x][y] = 1
if get_sum(hello(three, place)):
break
place[x][y] = 0
else:
place[x][y] = 1
r.step_forward(merge_input([make_bubble(place, BUBBLE_SIZE), hello(three, place)]))
r.out_prediction()
new_place = zip_bubbled_data(do_cut(r.get_binary_prediction(), len(make_bubble(place, BUBBLE_SIZE))),
BUBBLE_SIZE)
place = new_place
def __init__(self, gens: []):
self.gens = gens
self.cur_gen_ind = 0
self.cur_gen_cnt = 0
# вычисляем первоначальную матрицу данных
data = []
for i in self.gens:
data.append(i.get_data())
self.a = merge_input(data)
for i, I in enumerate(self.a):
for j, J in enumerate(I):
self.a[i][j] = 0
# сохрнаяем пустую матрицу, будем выводить ее в качестве разделителя
self.empty = deepcopy(self.a)
# считаем период каждого генератора
self.gens_periods = []
# количество шагов генератора для которого будет предвычисляться период
period_calc_size = 100
for gen in self.gens:
a = []
t = deepcopy(gen)
for i in range(period_calc_size):
a.append(zip_binary_matrix(gen.get_data()))
gen.move()
self.gens_periods.append(get_period(a))
gen = t
print(self.gens_periods)