assignment

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SowinskiBraeden committed 2026-04-01 20:24:58 -07:00
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module VertexMap = Map.Make(String)
type t = ((string * int) list) VertexMap.t
type edge = string * string * int
exception Invalid of string
(** [empty] is the empty digraph. *)
let empty = VertexMap.empty
(** [validate_edge (v1, v2, ed_len)] checks whether an edge is valid.
* It raises [Invalid] if either vertex is empty, if the vertices
* are the same, or if the edge length is not positive.
*)
let validate_edge ((v1, v2, ed_len) : edge) : unit =
if v1 = "" then
raise (Invalid "source vertex cannot be empty")
else if v2 = "" then
raise (Invalid "destination vertex cannot be empty")
else if v1 = v2 then
raise (Invalid "source and destination must be distinct")
else if ed_len <= 0 then
raise (Invalid "edge length must be positive")
else
()
(** [add_edge (v1, v2, ed_len) graph] returns a new graph with the given
* directed edge added.
* It raises [Invalid] if the edge is invalid or if an edge with the
* same source and destination already exists.
*)
let add_edge ((v1, v2, ed_len) : edge) (graph : t) : t =
let _ = validate_edge (v1, v2, ed_len) in
let existing_edges =
match VertexMap.find_opt v1 graph with
| Some edges -> edges
| None -> []
in
if List.exists (fun (dest, _) -> dest = v2) existing_edges then
raise (Invalid "duplicate edge")
else
VertexMap.add v1 ((v2, ed_len) :: existing_edges) graph
(** [of_edges ls] builds a digraph from the list of edges [ls].
* It raises [Invalid] if any edge in [ls] is invalid or duplicated.
*)
let of_edges (ls : edge list) : t =
List.fold_left (fun acc edge -> add_edge edge acc) empty ls
(** [edges graph] returns a sorted list of all distinct edges in [graph].
* The edges are sorted first by source vertex, then by destination vertex.
*)
let edges (graph : t) : edge list =
let compare_edges (v1, v2, _) (va, vb, _) =
let cmp1 = String.compare v1 va in
if cmp1 <> 0 then
cmp1
else
String.compare v2 vb
in
let all_edges =
VertexMap.fold
(fun src neighbors acc ->
List.fold_left
(fun inner_acc (dest, len) -> (src, dest, len) :: inner_acc)
acc
neighbors)
graph
[]
in
List.sort compare_edges all_edges
(** [vertices graph] returns a sorted list of all distinct vertices
* in [graph].
* This includes vertices that appear only as destinations.
*)
let vertices (graph : t) : string list =
let vertex_list =
VertexMap.fold
(fun src neighbors acc ->
let acc_with_src = src :: acc in
List.fold_left
(fun inner_acc (dest, _) -> dest :: inner_acc)
acc_with_src
neighbors)
graph
[]
in
List.sort_uniq String.compare vertex_list
(** [neighbors vtx graph] returns the outgoing neighbors of [vtx]
* as a list of [(destination, length)] pairs.
* If [vtx] has no outgoing edges, it returns the empty list.
*)
let neighbors vtx (graph : t) : (string * int) list =
match VertexMap.find_opt vtx graph with
| Some verts -> verts
| None -> []
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type t (* the abstract digraph type *)
type edge = string * string * int (* type of an edge *)
(** raised by [add_edge] and [of_edges] when adding an edge to a digraph;
this could happen when the edge has non-positive length, or the 2 vertices
in the edge are not distinct, or the edge to add is a "duplicate" in the
sense that there is already an edge in the graph with the same source
and destination vertices, and which can be of the same length or of
different lengths.
*)
exception Invalid of string (* the string argument specifies the reason *)
(** [empty] is the empty digraph *)
val empty : t
(** [add_edge edge graph] adds [edge] to [graph].
Raises: [Inv_edge] if [edge] is invalid; raises [Inv_graph] if [edge] is
a duplicate with a different length *)
val add_edge : edge -> t -> t
(** [of_edges edges] is the digraph formed from the list [edges].
May raise [Inv_edge] or [Inv_graph] (see above) *)
val of_edges : edge list -> t
(** [edges graph] is the sorted list of all distinct edges in [graph] *)
val edges : t -> edge list
(** [vertices graph] is the list of all distinct vertices (in alphabetical
order) of [graph] *)
val vertices : t -> string list
(** [neighbors vertex graph] is the list of neighbors of [vertex] in
[graph]; each neighbor is a pair of the form ([vertex2], [length]) which
indicates there is an edge from [vertex] to [vetex2] of length [length]) *)
val neighbors : string -> t -> (string * int) list
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A C 2 # sample graph data
B A 4 # an edge
C B 6 # the following line is invalid and is skipped
A D A
C D 5
C E 1
D E 3
E B 2
E F 1
F D 2
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open Digraph
(** [read_file src] returns all lines from the file named [src]
* in the same order they appear in the file.
*)
let read_file src =
let ic = open_in src in
let rec read_file_line acc =
try
let line = input_line ic in
read_file_line (line :: acc)
with
| End_of_file ->
close_in ic;
List.rev acc
in
read_file_line []
(** [parse_line line] tries to parse [line] as an edge.
* It uses only the first 3 words and ignores any extra words.
* It returns [None] if [line] does not contain 2 vertices followed
* by an integer edge length.
*)
let parse_line line =
let parts = String.split_on_char ' ' line in
let filtered_parts = List.filter (fun x -> x <> "") parts in
match filtered_parts with
| src :: dst :: len_str :: _ ->
(
try
let len = int_of_string len_str in
Some (src, dst, len)
with
| Failure _ -> None
)
| _ -> None
(** [read_data src] reads graph data from the file named [src]
* and returns the resulting digraph.
* Lines that do not match the expected format are skipped.
* It may raise [Invalid] if a parsed edge is invalid or duplicated.
*)
let read_data src =
let lines = read_file src in
let edge_list =
List.fold_right
(fun line acc ->
match parse_line line with
| Some edge -> edge :: acc
| None -> acc)
lines
[]
in
Digraph.of_edges edge_list
(** [update_distance vertex new_dist dist_list] returns a new distance
* list where [vertex] has distance [new_dist].
* If [vertex] is not already present, it is added.
*)
let rec update_distance vertex new_dist dist_list =
match dist_list with
| [] -> [(vertex, new_dist)]
| (v, d) :: rest ->
if v = vertex then
(v, new_dist) :: rest
else
(v, d) :: update_distance vertex new_dist rest
(** [find_min_vertex dist_list unvisited] returns [Some (v, d)] where [v]
* is the unvisited vertex with the smallest distance in [dist_list].
* It returns [None] if no unvisited vertex remains.
*)
let find_min_vertex dist_list unvisited =
List.fold_left
(fun acc (v, d) ->
if not (List.mem v unvisited) then
acc
else
match acc with
| None -> Some (v, d)
| Some (_, d_min) ->
if d < d_min then
Some (v, d)
else
acc)
None
dist_list
(** [update_predecessor vertex pred pred_list] returns a new predecessor
* list where [vertex] has predecessor [pred].
* If [vertex] is not already present, it is added.
*)
let rec update_predecessor vertex pred pred_list =
match pred_list with
| [] -> [(vertex, Some pred)]
| (v, p) :: rest ->
if v = vertex then
(v, Some pred) :: rest
else
(v, p) :: update_predecessor vertex pred rest
(** [construct_path prev_list v acc] builds the path ending at [v]
* by following predecessors in [prev_list].
* The list [acc] stores the path built so far.
*)
let rec construct_path prev_list v acc =
match List.assoc v prev_list with
| None -> acc
| Some u -> construct_path prev_list u (u :: acc)
(** [shortest_path src dst graph] returns a pair containing the total
* length of a shortest path from [src] to [dst] in [graph], and the
* path itself as a list of vertices from [src] to [dst].
* It raises [Failure] if no path exists or if either vertex is missing.
*)
let shortest_path src dst graph =
let verts = Digraph.vertices graph in
if not (List.mem src verts) || not (List.mem dst verts) then
failwith "No path found"
else
let dist_list =
List.map (fun v -> (v, if v = src then 0 else max_int)) verts
in
let prev_list =
List.map (fun v -> (v, None)) verts
in
let rec dijkstra_helper dist_list prev_list unvisited =
match find_min_vertex dist_list unvisited with
| None -> failwith "No path found"
| Some (u, d_u) ->
if d_u = max_int then
failwith "No path found"
else if u = dst then
let path = construct_path prev_list u [u] in
(d_u, path)
else
let neighbors_list = Digraph.neighbors u graph in
let (dist_list', prev_list') =
List.fold_left
(fun (d_acc, p_acc) (v, weight) ->
let d_v = List.assoc v d_acc in
let alt = d_u + weight in
if alt < d_v then
let d_acc' = update_distance v alt d_acc in
let p_acc' = update_predecessor v u p_acc in
(d_acc', p_acc')
else
(d_acc, p_acc))
(dist_list, prev_list)
neighbors_list
in
let unvisited' = List.filter (fun x -> x <> u) unvisited in
dijkstra_helper dist_list' prev_list' unvisited'
in
dijkstra_helper dist_list prev_list verts