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https://github.com/Crocmagnon/advent-of-code.git
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83 lines
2 KiB
Python
83 lines
2 KiB
Python
import functools
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import itertools
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from typing import List
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import networkx as nx
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def main(filename: str, expected_part_1: int = None, expected_part_2: int = None):
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print(f"\n+ Running on {filename}")
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with open(filename) as f:
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jolts = sorted(map(int, f.read().strip().split("\n"))) # type: List[int]
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jolts.append(jolts[-1] + 3)
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counter_part_1 = solve_part_1(jolts)
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jolts.insert(0, 0)
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counter_part_2 = solve_part_2(jolts)
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print(f"1. Found {counter_part_1}")
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if expected_part_1:
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assert expected_part_1 == counter_part_1
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print(f"2. Found {counter_part_2}")
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if expected_part_2:
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assert expected_part_2 == counter_part_2
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def solve_part_1(jolts):
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diffs = count_diffs(jolts)
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return diffs[1] * diffs[3]
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def count_diffs(jolts):
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diffs = {1: 0, 2: 0, 3: 0}
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previous = 0
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for jolt in jolts:
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diffs[jolt - previous] += 1
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previous = jolt
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return diffs
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def solve_part_2(jolts: list[int]):
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jolts = tuple(jolts)
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return with_recursion(jolts, jolts[-1])
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@functools.cache
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def with_recursion(jolts: tuple[int], target: int):
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if target == 0:
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return 1
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counter = 0
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for jolt in jolts:
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if can_reach(jolt, target):
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counter += with_recursion(jolts, jolt)
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return counter
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def can_reach(jolt, target):
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return 0 < target - jolt < 4
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def with_graph(jolts):
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"""
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It works but it's way too slow for the real deal.
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"""
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graph = nx.DiGraph()
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combinations = itertools.combinations(jolts, 2)
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for combination in combinations:
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combination = sorted(combination)
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diff = combination[1] - combination[0]
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if 0 < diff < 4:
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graph.add_edge(combination[0], combination[1])
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paths_counter = 0
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for _ in nx.all_simple_paths(graph, jolts[0], jolts[-1]):
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paths_counter += 1
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return paths_counter
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if __name__ == "__main__":
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main("inputs/day10-test1", 35, 8)
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main("inputs/day10-test2", 220, 19208)
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main("inputs/day10", 2450)
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