47 lines
2.2 KiB
Python
Executable File
47 lines
2.2 KiB
Python
Executable File
#!/usr/bin/env python3.11
|
|
# Is killed on WSL2 after vmmem increase to 16GB
|
|
from data import extract
|
|
import concurrent.futures
|
|
|
|
def seed_to_location(seed, maps):
|
|
print(seed)
|
|
soil_maps = list(filter(lambda soil_map: soil_map.is_mapped(seed), maps["seed-to-soil"]))
|
|
soil = seed if soil_maps == [] else soil_maps[0].mapped_value(seed)
|
|
fertilizer_maps = list(filter(lambda fertilizer_map: fertilizer_map.is_mapped(soil), maps["soil-to-fertilizer"]))
|
|
#print(fertilizer_maps)
|
|
fertilizer = soil if fertilizer_maps == [] else fertilizer_maps[0].mapped_value(soil)
|
|
water_maps = list(filter(lambda water_map: water_map.is_mapped(fertilizer), maps["fertilizer-to-water"]))
|
|
water = fertilizer if water_maps == [] else water_maps[0].mapped_value(fertilizer)
|
|
light_maps = list(filter(lambda light_map: light_map.is_mapped(water), maps["water-to-light"]))
|
|
light = water if light_maps == [] else light_maps[0].mapped_value(water)
|
|
temperature_maps = list(filter(lambda temperature_map: temperature_map.is_mapped(light), maps["light-to-temperature"]))
|
|
temperature = light if temperature_maps == [] else temperature_maps[0].mapped_value(light)
|
|
humidity_maps = list(filter(lambda humidity_map: humidity_map.is_mapped(temperature), maps["temperature-to-humidity"]))
|
|
humidity = temperature if humidity_maps == [] else humidity_maps[0].mapped_value(temperature)
|
|
location_maps = list(filter(lambda location_map: location_map.is_mapped(humidity), maps["humidity-to-location"]))
|
|
location = humidity if location_maps == [] else location_maps[0].mapped_value(humidity)
|
|
return location
|
|
|
|
def parallel_loop(seeds, maps, index):
|
|
lowest_location = None
|
|
for seed_idx in range(seeds[index]):
|
|
seed = seeds[index] + seed_idx
|
|
location = seed_to_location(seed, maps)
|
|
if lowest_location is not None:
|
|
lowest_location = min(lowest_location, location)
|
|
else:
|
|
lowest_location = location
|
|
seeds, maps = extract("input.txt")
|
|
print(seeds)
|
|
|
|
|
|
minimums = []
|
|
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
|
|
for idx in range(0, len(seeds), 2):
|
|
minimum = executor.submit(parallel_loop, seeds, maps, idx)
|
|
minimums.append(minimum)
|
|
|
|
|
|
|
|
print(min(minimums))
|