S (ocaml.Stdlib.Weak.S)

type data

The type of the elements stored in the table.

type t

The type of tables that contain elements of type data. Note that weak hash sets cannot be marshaled using Stdlib.output_value or the functions of the Marshal module.

val create : int -> t

create n creates a new empty weak hash set, of initial size n. The table will grow as needed.

val clear : t -> unit

Remove all elements from the table.

val merge : t -> data -> data

merge t x returns an instance of x found in t if any, or else adds x to t and return x.

val add : t -> data -> unit

add t x adds x to t. If there is already an instance of x in t, it is unspecified which one will be returned by subsequent calls to find and merge.

val remove : t -> data -> unit

remove t x removes from t one instance of x. Does nothing if there is no instance of x in t.

val find : t -> data -> data

find t x returns an instance of x found in t.

raises Not_found
if there is no such element.

val find_opt : t -> data -> data option

find_opt t x returns an instance of x found in t or None if there is no such element.

since 4.05

val find_all : t -> data -> data list

find_all t x returns a list of all the instances of x found in t.

val mem : t -> data -> bool

mem t x returns true if there is at least one instance of x in t, false otherwise.

val iter : (data -> unit) -> t -> unit

iter f t calls f on each element of t, in some unspecified order. It is not specified what happens if f tries to change t itself.

val fold : (data -> 'a -> 'a) -> t -> 'a -> 'a

fold f t init computes (f d1 (... (f dN init))) where d1 ... dN are the elements of t in some unspecified order. It is not specified what happens if f tries to change t itself.

val count : t -> int

Count the number of elements in the table. count t gives the same result as fold (fun _ n -> n+1) t 0 but does not delay the deallocation of the dead elements.

val stats : t -> int * int * int * int * int * int

Return statistics on the table. The numbers are, in order: table length, number of entries, sum of bucket lengths, smallest bucket length, median bucket length, biggest bucket length.