Generic implementation of Dijkstra
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@ -3,6 +3,8 @@
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// and that seems awful.
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const std = @import("std");
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const print = std.debug.print;
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const expect = @import("std").testing.expect;
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pub fn getInputFile(problemNumber: []const u8, isTestCase: bool) ![]u8 {
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return concatString("inputs/", try concatString(problemNumber, try concatString("/", try concatString(if (isTestCase) "test" else "real", ".txt"))));
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@ -132,7 +134,154 @@ pub fn log(comptime message: []const u8, args: anytype, debug: bool) void {
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}
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}
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const expect = @import("std").testing.expect;
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// Basic implementation of Dijkstra - given start and end, find the length of the shortest path that joins them.
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// Assumes that all links have cost 1.
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const DijkstraError = error{NoPathFound};
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// I hate that I have to pass in an allocator to `neighbours`, but it seems necessary in order to be able to free
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// whatever it returns.
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pub fn dijkstra(T: type, neighbours: *const fn (t: *T, allocator: std.mem.Allocator) []T, start: T, end: T, debug: bool, allocator: std.mem.Allocator) DijkstraError!u32 {
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var visited = std.AutoHashMap(T, void).init(allocator);
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defer visited.deinit();
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var distances = std.AutoHashMap(T, u32).init(allocator);
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defer distances.deinit();
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distances.put(start, 0) catch unreachable;
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// Not strictly necessary - we could just iterate over all keys of `distances` and filter out those that are
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// `visited` - but this certainly trims down the unnecessary debug logging, and I have an intuition (though haven't
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// proved) that it'll slightly help performance.
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var unvisited_candidates = std.AutoHashMap(T, void).init(allocator);
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defer unvisited_candidates.deinit();
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unvisited_candidates.put(start, {}) catch unreachable;
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return while (true) {
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var cand_it = unvisited_candidates.keyIterator();
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var curr: T = undefined;
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var lowest_distance_found: u32 = std.math.maxInt(u32);
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while (cand_it.next()) |cand| {
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const actual_candidate = cand.*; // Necessary to avoid pointer weirdness
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log("Considering {s} as the next curr ", .{actual_candidate}, debug);
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const distance_of_candidate = distances.get(actual_candidate) orelse std.math.maxInt(u32);
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if (distance_of_candidate < lowest_distance_found) {
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log("and it is a possibility!\n", .{}, debug);
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curr = actual_candidate;
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lowest_distance_found = distance_of_candidate;
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} else {
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log("but rejecting it because it already has a shorter minimum-distance({} vs {})\n", .{ distance_of_candidate, lowest_distance_found }, debug);
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}
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}
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if (lowest_distance_found == std.math.maxInt(u32)) {
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log("ERROR - iterated over all candidates, but found none with non-infinite distance", .{}, debug);
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break DijkstraError.NoPathFound;
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}
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log("Settled on {s} as the new curr", .{curr}, debug);
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if (std.meta.eql(curr, end)) {
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log(" and that is the target, so we're done!\n", .{}, debug);
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break lowest_distance_found;
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} else {
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log(" - now exploring its neighbours\n", .{}, debug);
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}
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// Haven't terminated yet => we're still looking. Check neighbours, and update their min-distance
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const distance_of_neighbour_from_current = lowest_distance_found + 1;
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const neighbours_of_curr = neighbours(&curr, allocator);
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for (neighbours_of_curr) |neighbour| {
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if (visited.contains(neighbour)) {
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continue;
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}
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const distance_response = distances.getOrPut(neighbour) catch unreachable;
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if (!distance_response.found_existing) {
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log("Adding a new (first) distance to {s} (via {s}) - {}\n", .{ neighbour, curr, distance_of_neighbour_from_current }, debug);
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distance_response.value_ptr.* = distance_of_neighbour_from_current;
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unvisited_candidates.put(neighbour, {}) catch unreachable;
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} else {
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if (distance_response.value_ptr.* > distance_of_neighbour_from_current) {
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log("Overriding distance for neighbour {s} because distance of path from {s} ({}) is less than current value ({})\n", .{ neighbour, curr, distance_of_neighbour_from_current, distance_response.value_ptr.* }, debug);
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distance_response.value_ptr.* = distance_of_neighbour_from_current;
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}
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}
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}
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allocator.free(neighbours_of_curr);
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visited.put(curr, {}) catch unreachable;
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_ = unvisited_candidates.remove(curr);
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log("{s} has now been fully visited - loop begins again\n", .{curr}, debug);
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};
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}
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// I tried declaring this within the `test "Dijkstra`", but this method of anonymous functions:
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// https://gencmurat.com/en/posts/zig-anonymus-functions-and-closures/
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// didn't work for me when trying to pass an Allocator down inside. The following attempt:
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//
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// ```
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// const curry = struct {
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// pub fn call(T: type, alloc: std.mem.Allocator) *const fn (t: T) []T {
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// const Context = struct { alloc: std.mem.Allocator };
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//
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// const context = Context{ .alloc = alloc };
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//
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// return struct {
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// pub fn call(p: Point) []Point {
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// const response = std.ArrayList(Point).init(context.alloc);
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// for (p.neighbours(15, 15, context.alloc)) |n| {
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// if (data[16 * n.y + n.x] == '.') {
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// response.append(n) catch unreachable;
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// }
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// }
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// return response.toOwnedSlice() catch unreachable;
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// }
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// }.call;
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// }
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// }.call;
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// ```
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// gave `'context' not accessible from inner function`
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fn private_dijkstra_test_neighbours_function(p: *Point, allocator: std.mem.Allocator) []Point {
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// From AoC 2024 Day 20
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const data =
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\\###############
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\\#...#...#.....#
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\\#.#.#.#.#.###.#
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\\#.#...#.#.#...#
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\\#######.#.#.###
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\\#######.#.#...#
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\\#######.#.###.#
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\\###...#...#...#
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\\###.#######.###
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\\#...###...#...#
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\\#.#####.#.###.#
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\\#.#...#.#.#...#
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\\#.#.#.#.#.#.###
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\\#...#...#...###
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\\###############
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;
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var response = std.ArrayList(Point).init(allocator);
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const ns = p.neighbours(15, 15, allocator);
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for (ns) |n| {
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if (data[16 * n.y + n.x] == '.') {
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response.append(n) catch unreachable;
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}
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}
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allocator.free(ns);
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return response.toOwnedSlice() catch unreachable;
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}
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test "Dijkstra" {
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var gpa = std.heap.GeneralPurposeAllocator(.{}){};
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defer _ = gpa.deinit();
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const allocator = gpa.allocator();
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const start = Point{ .x = 1, .y = 3 };
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const end = Point{ .x = 5, .y = 7 };
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const result = dijkstra(Point, private_dijkstra_test_neighbours_function, start, end, false, allocator) catch unreachable;
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// print("Dijkstra result is {}\n", .{result});
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try expect(result == 84);
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}
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test {
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const result = try concatString("abc", "def");
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