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import re
import os
import concurrent.futures
data = [
[int(s) for s in re.findall(r"-?\d+", dat)]
for dat in open("input").readlines()
if dat != ""
]
dists = [
abs(sensor_x - beacon_x) + abs(sensor_y - beacon_y)
for sensor_x, sensor_y, beacon_x, beacon_y in data
]
P1 = 2000000
P2 = 4000000
def part1():
noped = set()
already = set()
for i, (sensor_x, sensor_y, beacon_x, beacon_y) in enumerate(data):
dist = dists[i] - abs(sensor_y - P1)
if beacon_y == P1:
already.add(beacon_x)
if dist >= 0:
noped.add(range(sensor_x - dist, sensor_x + dist + 1))
return len(set.union(*[set(x) for x in noped]) - already)
def valid(x, y):
for i, (sensor_x, sensor_y, _, _) in enumerate(data):
dist = abs(sensor_x - x) + abs(sensor_y - y)
if dist < dists[i]:
return False
return True
def aah(i):
sensor_x, sensor_y, _, _ = data[i]
for mult_x, mult_y in (-1, 1), (-1, 1):
for dist_x in range(dists[i] + 2):
x = sensor_x + dist_x * mult_x
dist_y = dists[i] + 1 - dist_x
y = sensor_y + dist_y * mult_y
if x in range(0, P2 + 1) and y in range(0, P2 + 1) and valid(x, y):
res = x * P2 + y
return res
return False
def part2():
executor = concurrent.futures.ProcessPoolExecutor(10)
futures = [executor.submit(aah, i) for i in range(len(data))]
for f in concurrent.futures.as_completed(futures):
res = f.result()
if res:
return res
return 0
print(f"Part 1: {part1()}")
print(f"Part 2: {part2()}")
os.kill(os.getpid(), 9) # nice way to kill workers
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