done = False
# set up grid for the time that each cell has been infected for
infectedlife = []
for n in range(60):
infectedlife.append([0] * 40)
while not done:
done = simulation.process_events()
simulation.update()
for cell in simulation.cells:
# create new infected
# print(simulation.cells[cell])
if simulation.cells[cell] == (0, 0, 200):
infectchance = 0
# 1 square away
onesquare = simulation.get_surroundings(cell[0], cell[1], 1)
onep = 0
print(onesquare)
for r in onesquare:
for t in r:
if t == (200, 0, 0):
print(t)
onep += 1
infectchance += 0.25 * onep
# 2 squares away
twosquare = simulation.get_surroundings(cell[0], cell[1], 2)
twop = 0
for r in twosquare:
for t in r:
if t == (200, 0, 0):
twop += 1
if s[line][2][0] == 200:
rate6 += 25
if type(s[line][4]) == tuple:
if s[line][4][0] == 200:
rate6 += 25
return rate6
info = {}
for cell in simulation.cells:
info[cell[0], cell[1]] = [simulation.cells[cell], 0]
for i in range(time):
for cell in simulation.cells:
rate = 0
s = simulation.get_surroundings(cell[0], cell[1], 3)
rate = rate + three_blocks_first_last(0) + three_blocks_first_last(
6) + three_blocks_zero_six(1) + three_blocks_zero_six(
2) + three_blocks_zero_six(3) + three_blocks_zero_six(
4) + three_blocks_zero_six(5) + two_blocks_first_last(
1) + two_blocks_first_last(5) + two_blocks_one_five(
2) + two_blocks_one_five(3) + two_blocks_one_five(
4) + adjacent_first_last(
2) + adjacent_first_last(
4) + adjacent_two_four(3)
if rate > 97:
rate = 97
if randint(0, 100) <= rate:
simulation.cells[cell] = (200, 0, 0)
if info[cell[0], cell[1]][0][0] == 200:
