Stdlib.QueueFirst-in first-out queues.
This module implements queues (FIFOs), with in-place modification. See the example section below.
Unsynchronized accesses
Unsynchronized accesses to a queue may lead to an invalid queue state. Thus, concurrent accesses to queues must be synchronized (for instance with a Mutex.t).
Raised when Queue.take or Queue.peek is applied to an empty queue.
val create : unit -> 'a tReturn a new queue, initially empty.
val add : 'a -> 'a t -> unitadd x q adds the element x at the end of the queue q.
val push : 'a -> 'a t -> unitpush is a synonym for add.
val take : 'a t -> 'atake q removes and returns the first element in queue q, or raises Empty if the queue is empty.
val take_opt : 'a t -> 'a optiontake_opt q removes and returns the first element in queue q, or returns None if the queue is empty.
val pop : 'a t -> 'apop is a synonym for take.
val peek : 'a t -> 'apeek q returns the first element in queue q, without removing it from the queue, or raises Empty if the queue is empty.
val peek_opt : 'a t -> 'a optionpeek_opt q returns the first element in queue q, without removing it from the queue, or returns None if the queue is empty.
val top : 'a t -> 'atop is a synonym for peek.
val clear : 'a t -> unitDiscard all elements from a queue.
val is_empty : 'a t -> boolReturn true if the given queue is empty, false otherwise.
val length : 'a t -> intReturn the number of elements in a queue.
val iter : ('a -> unit) -> 'a t -> unititer f q applies f in turn to all elements of q, from the least recently entered to the most recently entered. The queue itself is unchanged.
val fold : ('acc -> 'a -> 'acc) -> 'acc -> 'a t -> 'accfold f accu q is equivalent to List.fold_left f accu l, where l is the list of q's elements. The queue remains unchanged.
transfer q1 q2 adds all of q1's elements at the end of the queue q2, then clears q1. It is equivalent to the sequence iter (fun x -> add x q2) q1; clear q1, but runs in constant time.
Iterate on the queue, in front-to-back order. The behavior is not specified if the queue is modified during the iteration.
A basic example:
# let q = Queue.create ()
val q : '_weak1 Queue.t = <abstr>
# Queue.push 1 q; Queue.push 2 q; Queue.push 3 q
- : unit = ()
# Queue.length q
- : int = 3
# Queue.pop q
- : int = 1
# Queue.pop q
- : int = 2
# Queue.pop q
- : int = 3
# Queue.pop q
Exception: Stdlib.Queue.Empty.For a more elaborate example, a classic algorithmic use of queues is to implement a BFS (breadth-first search) through a graph.
type graph = {
edges: (int, int list) Hashtbl.t
}
(* Search in graph [g] using BFS, starting from node [start].
It returns the first node that satisfies [p], or [None] if
no node reachable from [start] satisfies [p].
*)
let search_for ~(g:graph) ~(start:int) (p:int -> bool) : int option =
let to_explore = Queue.create() in
let explored = Hashtbl.create 16 in
Queue.push start to_explore;
let rec loop () =
if Queue.is_empty to_explore then None
else
(* node to explore *)
let node = Queue.pop to_explore in
explore_node node
and explore_node node =
if not (Hashtbl.mem explored node) then (
if p node then Some node (* found *)
else (
Hashtbl.add explored node ();
let children =
Hashtbl.find_opt g.edges node
|> Option.value ~default:[]
in
List.iter (fun child -> Queue.push child to_explore) children;
loop()
)
) else loop()
in
loop()
(* a sample graph *)
let my_graph: graph =
let edges =
List.to_seq [
1, [2;3];
2, [10; 11];
3, [4;5];
5, [100];
11, [0; 20];
]
|> Hashtbl.of_seq
in {edges}
# search_for ~g:my_graph ~start:1 (fun x -> x = 30)
- : int option = None
# search_for ~g:my_graph ~start:1 (fun x -> x >= 15)
- : int option = Some 20
# search_for ~g:my_graph ~start:1 (fun x -> x >= 50)
- : int option = Some 100