Module
Make
:
functor (H : Hashtbl.HashedType) -> sig end
Functor building an implementation of the weak hash table structure.
Parameters:
"H"
Hashtbl.HashedType
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 tables cannot be marshaled using Pervasives.output_value or the functions of the Marshal module.
val create : int -> t
create n creates a new empty weak hash table, 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 . Raise Not_found if there is no such element.
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.