|
| 1 | +defmodule AdventOfCode.Y2018.Day25 do |
| 2 | + @moduledoc """ |
| 3 | + --- Day 25: Four-Dimensional Adventure --- |
| 4 | + Problem Link: https://adventofcode.com/2018/day/25 |
| 5 | + Difficulty: m |
| 6 | + Tags: graph connectivity constellation |
| 7 | + """ |
| 8 | + alias AdventOfCode.Helpers.{InputReader, Transformers} |
| 9 | + alias Yog.Connectivity |
| 10 | + |
| 11 | + def input, do: InputReader.read_from_file(2018, 25) |
| 12 | + |
| 13 | + def run(input \\ input()) do |
| 14 | + points = parse(input) |
| 15 | + |
| 16 | + {run_1(points), run_2(points)} |
| 17 | + end |
| 18 | + |
| 19 | + defp run_1(points) do |
| 20 | + # Points form "constellations" if their Manhattan distance is <= 3. |
| 21 | + # This is exactly finding connected components in a graph where |
| 22 | + # nodes are points and edges connect points with distance <= 3. |
| 23 | + graph = build_graph(points) |
| 24 | + |
| 25 | + Connectivity.connected_components(graph) |
| 26 | + |> length() |
| 27 | + end |
| 28 | + |
| 29 | + defp run_2(_points) do |
| 30 | + "Finished the 4D adventure! 🥳" |
| 31 | + end |
| 32 | + |
| 33 | + defp build_graph(points_with_index) do |
| 34 | + # Each points has an index for stable node ID. |
| 35 | + points = |
| 36 | + points_with_index |
| 37 | + |> Enum.with_index() |
| 38 | + |
| 39 | + # Create the undirected graph with nodes. |
| 40 | + initial_graph = |
| 41 | + Enum.reduce(points, Yog.undirected(), fn {p, idx}, acc -> |
| 42 | + Yog.add_node(acc, idx, p) |
| 43 | + end) |
| 44 | + |
| 45 | + # Consider all pairs of points and add edges if they are connected. |
| 46 | + # O(N^2) checks. N ~ 1250 => ~780k checks. |
| 47 | + # We only check each pair once. |
| 48 | + add_edges(points, initial_graph) |
| 49 | + end |
| 50 | + |
| 51 | + defp add_edges([], graph), do: graph |
| 52 | + |
| 53 | + defp add_edges([{p1, i1} | rest], graph) do |
| 54 | + new_graph = |
| 55 | + Enum.reduce(rest, graph, fn {p2, i2}, acc -> |
| 56 | + if manhattan_dist(p1, p2) <= 3 do |
| 57 | + # Graph is undirected, so order doesn't matter. |
| 58 | + # add_edge! ensures we don't handle error tuples inside the loop. |
| 59 | + Yog.add_edge!(acc, from: i1, to: i2, with: 1) |
| 60 | + else |
| 61 | + acc |
| 62 | + end |
| 63 | + end) |
| 64 | + |
| 65 | + add_edges(rest, new_graph) |
| 66 | + end |
| 67 | + |
| 68 | + defp manhattan_dist({x1, y1, z1, w1}, {x2, y2, z2, w2}) do |
| 69 | + abs(x1 - x2) + abs(y1 - y2) + abs(z1 - z2) + abs(w1 - w2) |
| 70 | + end |
| 71 | + |
| 72 | + def parse(data \\ input()) do |
| 73 | + for line <- Transformers.lines(data) do |
| 74 | + line |
| 75 | + |> String.split(",") |
| 76 | + |> Enum.map(&String.trim/1) |
| 77 | + |> Enum.map(&String.to_integer/1) |
| 78 | + |> List.to_tuple() |
| 79 | + end |
| 80 | + end |
| 81 | +end |
0 commit comments