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solution.py
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from collections import deque
from itertools import chain
from time import time
from util.file_input_processor import read_int_grid
from util.grid_util import find_neighbours
def increase_energy_levels(energy_levels):
for i in range(len(energy_levels)):
for j in range(len(energy_levels[i])):
energy_levels[i][j] += 1
def detect_flashes(energy_levels):
flashed_octopuses = []
flash_queue = deque()
for i in range(len(energy_levels)):
for j in range(len(energy_levels[i])):
if energy_levels[i][j] > 9:
flash_queue.append((i, j))
while len(flash_queue) > 0:
octopus = flash_queue.popleft()
energy_levels[octopus[0]][octopus[1]] += 1
if energy_levels[octopus[0]][octopus[1]] > 9 and octopus not in flashed_octopuses:
flashed_octopuses.append(octopus)
flash_queue.extend(find_neighbours(energy_levels, octopus, True))
return len(flashed_octopuses)
def decrease_energy_levels(energy_levels):
for i in range(len(energy_levels)):
for j in range(len(energy_levels[i])):
if energy_levels[i][j] > 9:
energy_levels[i][j] = 0
def simulate_step(energy_levels):
increase_energy_levels(energy_levels)
flashes = detect_flashes(energy_levels)
decrease_energy_levels(energy_levels)
return flashes
def part_1():
energy_levels = read_int_grid()
return sum(simulate_step(energy_levels) for _ in range(100))
def part_2():
energy_levels = read_int_grid()
step = 0
while True:
step += 1
simulate_step(energy_levels)
if all(energy_level == 0 for energy_level in chain(*energy_levels)):
return step
if __name__ == "__main__":
start = time()
result_part_1 = part_1()
end = time()
print(f'Part 1 ran in {round(end - start, 2)} seconds and the result is {result_part_1}')
start = time()
result_part_2 = part_2()
end = time()
print(f'Part 2 ran in {round(end - start, 2)} seconds and the result is {result_part_2}')