mirror of
https://github.com/Crocmagnon/advent-of-code.git
synced 2024-11-24 07:28:09 +01:00
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
import math
|
|
import statistics
|
|
|
|
|
|
def main(filename: str, expected_part_1: int = None, expected_part_2: int = None):
|
|
print(f"\n+ Running on {filename}")
|
|
with open(filename) as f:
|
|
data = f.read().strip().split("\n")
|
|
|
|
data = parse_data(data)
|
|
solution_part_1 = solve_part_1(data)
|
|
|
|
print(f"1. Found {solution_part_1}")
|
|
if expected_part_1:
|
|
assert expected_part_1 == solution_part_1
|
|
|
|
solution_part_2 = solve_part_2(data)
|
|
print(f"2. Found {solution_part_2}")
|
|
if expected_part_2:
|
|
assert expected_part_2 == solution_part_2
|
|
|
|
|
|
def parse_data(data: list[str]) -> list[int]:
|
|
return list(map(int, data[0].split(",")))
|
|
|
|
|
|
def solve_part_1(data: list[int]) -> int:
|
|
target_position = int(statistics.median(data))
|
|
fuel_cost = 0
|
|
for crab in data:
|
|
fuel_cost += abs(crab - target_position)
|
|
return fuel_cost
|
|
|
|
|
|
def solve_part_2(data: list[int]) -> int:
|
|
target_position_1 = math.floor(statistics.mean(data))
|
|
target_position_2 = math.ceil(statistics.mean(data))
|
|
return min(
|
|
[
|
|
compute_part_2(data, target_position_1),
|
|
compute_part_2(data, target_position_2),
|
|
]
|
|
)
|
|
|
|
|
|
def compute_part_2(data: list[int], target_position: int) -> int:
|
|
fuel_cost = 0
|
|
for index, crab in enumerate(data):
|
|
fuel_for_crab = sum([i for i in range(abs(crab - target_position) + 1)])
|
|
fuel_cost += fuel_for_crab
|
|
return fuel_cost
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main("inputs/day07-test1", expected_part_1=37, expected_part_2=168)
|
|
main("inputs/day07", expected_part_1=349769, expected_part_2=99540554)
|