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ocaml-aoc/bin/day2420.ml

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OCaml

(** [dijkstra visit check_end states] executes Dijkstra's algorithm.
[visit cost state] is called to visit [state] with [cost]. It should mark
[state] as visited, and return a list of [(cost, state)] pairs which contain
new states to examine. The returned list should be sorted by [cost].
[check_end state] should return [true] if and only if [state] is an end
state.
[states] is a list of [(cost, state)] pairs ordered by [cost].
[dijkstra] returns [None] if no path is found to the destination. It returns
[Some (cost, state, remaining_states)] if a route is found. [cost] is the
cost of getting to [state]. [remaining_states] is a list of the remaining
states which can be passed back to [dijkstra] if we want to find further
paths. *)
let rec dijkstra visit check_end =
let compare_costs (lhs, _) (rhs, _) = compare lhs rhs in
function
| [] -> None
| (cost, state) :: t ->
if check_end state then Some (cost, state)
else
let new_states = visit cost state |> List.merge compare_costs t in
dijkstra visit check_end new_states
let visit grid has_visited cost ((x, y) as state) =
if not (Aoc.Grid.pos_is_valid grid state) then []
else if has_visited.(Aoc.Grid.idx_of_pos grid state) then []
else begin
has_visited.(Aoc.Grid.idx_of_pos grid state) <- true;
[
(cost + 1, (x - 1, y));
(cost + 1, (x + 1, y));
(cost + 1, (x, y - 1));
(cost + 1, (x, y + 1));
]
end
let find_cost grid start =
let has_visited =
Array.init (Aoc.Grid.length grid) (fun x ->
Aoc.Grid.get_by_idx grid x = '#')
in
match
dijkstra (visit grid has_visited)
(fun x -> Aoc.Grid.get_by_pos_opt grid x = Some 'E')
[ (0, start) ]
with
| None -> failwith "find_cost"
| Some (cost, _) -> cost
module IntMap = Map.Make (Int)
let update_value = function None -> Some 1 | Some x -> Some (x + 1)
let find_cost_reductions grid start =
let max_cost = find_cost grid start in
let rec impl acc idx =
if idx >= Aoc.Grid.length grid then acc
else if Aoc.Grid.get_by_idx grid idx <> '#' then impl acc (idx + 1)
else
let grid' = Aoc.Grid.update_idx grid idx '.' in
let new_cost = find_cost grid' start in
impl (IntMap.update (max_cost - new_cost) update_value acc) (idx + 1)
in
impl IntMap.empty 0
let print_map map = IntMap.iter (fun k v -> Printf.printf "%d -> %d\n" k v) map
let part1 (grid, start) =
let map = find_cost_reductions grid start in
print_map map;
let map = IntMap.filter (fun k _ -> k >= 100) map in
IntMap.fold (fun _ v a -> v + a) map 0
let find_start grid =
match Aoc.Grid.idx_from_opt grid 0 'S' with
| None -> failwith "find_start"
| Some x -> Aoc.Grid.pos_of_idx grid x
let data_of_file fname =
let grid = Aoc.Grid.of_file fname in
let start = find_start grid in
(grid, start)
let _ = Aoc.main data_of_file [ (string_of_int, part1) ]