assignment
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module VertexMap = Map.Make(String)
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type t = ((string * int) list) VertexMap.t
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type edge = string * string * int
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exception Invalid of string
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(** [empty] is the empty digraph. *)
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let empty = VertexMap.empty
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(** [validate_edge (v1, v2, ed_len)] checks whether an edge is valid.
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* It raises [Invalid] if either vertex is empty, if the vertices
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* are the same, or if the edge length is not positive.
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*)
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let validate_edge ((v1, v2, ed_len) : edge) : unit =
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if v1 = "" then
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raise (Invalid "source vertex cannot be empty")
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else if v2 = "" then
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raise (Invalid "destination vertex cannot be empty")
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else if v1 = v2 then
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raise (Invalid "source and destination must be distinct")
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else if ed_len <= 0 then
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raise (Invalid "edge length must be positive")
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else
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()
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(** [add_edge (v1, v2, ed_len) graph] returns a new graph with the given
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* directed edge added.
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* It raises [Invalid] if the edge is invalid or if an edge with the
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* same source and destination already exists.
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*)
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let add_edge ((v1, v2, ed_len) : edge) (graph : t) : t =
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let _ = validate_edge (v1, v2, ed_len) in
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let existing_edges =
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match VertexMap.find_opt v1 graph with
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| Some edges -> edges
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| None -> []
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in
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if List.exists (fun (dest, _) -> dest = v2) existing_edges then
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raise (Invalid "duplicate edge")
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else
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VertexMap.add v1 ((v2, ed_len) :: existing_edges) graph
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(** [of_edges ls] builds a digraph from the list of edges [ls].
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* It raises [Invalid] if any edge in [ls] is invalid or duplicated.
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*)
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let of_edges (ls : edge list) : t =
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List.fold_left (fun acc edge -> add_edge edge acc) empty ls
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(** [edges graph] returns a sorted list of all distinct edges in [graph].
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* The edges are sorted first by source vertex, then by destination vertex.
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*)
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let edges (graph : t) : edge list =
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let compare_edges (v1, v2, _) (va, vb, _) =
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let cmp1 = String.compare v1 va in
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if cmp1 <> 0 then
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cmp1
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else
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String.compare v2 vb
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in
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let all_edges =
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VertexMap.fold
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(fun src neighbors acc ->
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List.fold_left
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(fun inner_acc (dest, len) -> (src, dest, len) :: inner_acc)
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acc
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neighbors)
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graph
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[]
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in
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List.sort compare_edges all_edges
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(** [vertices graph] returns a sorted list of all distinct vertices
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* in [graph].
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* This includes vertices that appear only as destinations.
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*)
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let vertices (graph : t) : string list =
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let vertex_list =
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VertexMap.fold
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(fun src neighbors acc ->
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let acc_with_src = src :: acc in
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List.fold_left
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(fun inner_acc (dest, _) -> dest :: inner_acc)
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acc_with_src
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neighbors)
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graph
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[]
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in
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List.sort_uniq String.compare vertex_list
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(** [neighbors vtx graph] returns the outgoing neighbors of [vtx]
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* as a list of [(destination, length)] pairs.
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* If [vtx] has no outgoing edges, it returns the empty list.
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*)
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let neighbors vtx (graph : t) : (string * int) list =
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match VertexMap.find_opt vtx graph with
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| Some verts -> verts
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| None -> []
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@@ -0,0 +1,35 @@
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type t (* the abstract digraph type *)
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type edge = string * string * int (* type of an edge *)
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(** raised by [add_edge] and [of_edges] when adding an edge to a digraph;
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this could happen when the edge has non-positive length, or the 2 vertices
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in the edge are not distinct, or the edge to add is a "duplicate" in the
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sense that there is already an edge in the graph with the same source
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and destination vertices, and which can be of the same length or of
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different lengths.
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*)
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exception Invalid of string (* the string argument specifies the reason *)
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(** [empty] is the empty digraph *)
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val empty : t
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(** [add_edge edge graph] adds [edge] to [graph].
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Raises: [Inv_edge] if [edge] is invalid; raises [Inv_graph] if [edge] is
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a duplicate with a different length *)
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val add_edge : edge -> t -> t
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(** [of_edges edges] is the digraph formed from the list [edges].
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May raise [Inv_edge] or [Inv_graph] (see above) *)
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val of_edges : edge list -> t
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(** [edges graph] is the sorted list of all distinct edges in [graph] *)
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val edges : t -> edge list
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(** [vertices graph] is the list of all distinct vertices (in alphabetical
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order) of [graph] *)
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val vertices : t -> string list
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(** [neighbors vertex graph] is the list of neighbors of [vertex] in
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[graph]; each neighbor is a pair of the form ([vertex2], [length]) which
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indicates there is an edge from [vertex] to [vetex2] of length [length]) *)
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val neighbors : string -> t -> (string * int) list
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@@ -0,0 +1,11 @@
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A C 2 # sample graph data
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B A 4 # an edge
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C B 6 # the following line is invalid and is skipped
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A D A
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C D 5
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C E 1
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D E 3
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E B 2
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E F 1
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F D 2
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open Digraph
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(** [read_file src] returns all lines from the file named [src]
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* in the same order they appear in the file.
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*)
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let read_file src =
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let ic = open_in src in
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let rec read_file_line acc =
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try
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let line = input_line ic in
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read_file_line (line :: acc)
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with
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| End_of_file ->
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close_in ic;
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List.rev acc
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in
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read_file_line []
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(** [parse_line line] tries to parse [line] as an edge.
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* It uses only the first 3 words and ignores any extra words.
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* It returns [None] if [line] does not contain 2 vertices followed
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* by an integer edge length.
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*)
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let parse_line line =
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let parts = String.split_on_char ' ' line in
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let filtered_parts = List.filter (fun x -> x <> "") parts in
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match filtered_parts with
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| src :: dst :: len_str :: _ ->
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(
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try
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let len = int_of_string len_str in
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Some (src, dst, len)
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with
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| Failure _ -> None
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)
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| _ -> None
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(** [read_data src] reads graph data from the file named [src]
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* and returns the resulting digraph.
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* Lines that do not match the expected format are skipped.
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* It may raise [Invalid] if a parsed edge is invalid or duplicated.
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*)
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let read_data src =
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let lines = read_file src in
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let edge_list =
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List.fold_right
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(fun line acc ->
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match parse_line line with
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| Some edge -> edge :: acc
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| None -> acc)
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lines
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[]
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in
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Digraph.of_edges edge_list
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(** [update_distance vertex new_dist dist_list] returns a new distance
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* list where [vertex] has distance [new_dist].
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* If [vertex] is not already present, it is added.
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*)
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let rec update_distance vertex new_dist dist_list =
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match dist_list with
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| [] -> [(vertex, new_dist)]
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| (v, d) :: rest ->
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if v = vertex then
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(v, new_dist) :: rest
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else
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(v, d) :: update_distance vertex new_dist rest
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(** [find_min_vertex dist_list unvisited] returns [Some (v, d)] where [v]
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* is the unvisited vertex with the smallest distance in [dist_list].
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* It returns [None] if no unvisited vertex remains.
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*)
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let find_min_vertex dist_list unvisited =
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List.fold_left
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(fun acc (v, d) ->
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if not (List.mem v unvisited) then
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acc
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else
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match acc with
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| None -> Some (v, d)
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| Some (_, d_min) ->
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if d < d_min then
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Some (v, d)
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else
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acc)
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None
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dist_list
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(** [update_predecessor vertex pred pred_list] returns a new predecessor
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* list where [vertex] has predecessor [pred].
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* If [vertex] is not already present, it is added.
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*)
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let rec update_predecessor vertex pred pred_list =
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match pred_list with
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| [] -> [(vertex, Some pred)]
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| (v, p) :: rest ->
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if v = vertex then
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(v, Some pred) :: rest
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else
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(v, p) :: update_predecessor vertex pred rest
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(** [construct_path prev_list v acc] builds the path ending at [v]
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* by following predecessors in [prev_list].
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* The list [acc] stores the path built so far.
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*)
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let rec construct_path prev_list v acc =
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match List.assoc v prev_list with
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| None -> acc
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| Some u -> construct_path prev_list u (u :: acc)
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(** [shortest_path src dst graph] returns a pair containing the total
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* length of a shortest path from [src] to [dst] in [graph], and the
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* path itself as a list of vertices from [src] to [dst].
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* It raises [Failure] if no path exists or if either vertex is missing.
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*)
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let shortest_path src dst graph =
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let verts = Digraph.vertices graph in
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if not (List.mem src verts) || not (List.mem dst verts) then
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failwith "No path found"
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else
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let dist_list =
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List.map (fun v -> (v, if v = src then 0 else max_int)) verts
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in
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let prev_list =
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List.map (fun v -> (v, None)) verts
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in
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let rec dijkstra_helper dist_list prev_list unvisited =
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match find_min_vertex dist_list unvisited with
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| None -> failwith "No path found"
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| Some (u, d_u) ->
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if d_u = max_int then
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failwith "No path found"
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else if u = dst then
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let path = construct_path prev_list u [u] in
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(d_u, path)
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else
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let neighbors_list = Digraph.neighbors u graph in
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let (dist_list', prev_list') =
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List.fold_left
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(fun (d_acc, p_acc) (v, weight) ->
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let d_v = List.assoc v d_acc in
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let alt = d_u + weight in
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if alt < d_v then
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let d_acc' = update_distance v alt d_acc in
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let p_acc' = update_predecessor v u p_acc in
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(d_acc', p_acc')
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else
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(d_acc, p_acc))
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(dist_list, prev_list)
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neighbors_list
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in
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let unvisited' = List.filter (fun x -> x <> u) unvisited in
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dijkstra_helper dist_list' prev_list' unvisited'
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in
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dijkstra_helper dist_list prev_list verts
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