base_quickcheck v0.15.0 · OCaml Package

Observers create random functions. Generator.fn creates a random function using an observer for the input type and a generator for the output type.

type -'a t

Basic Observers

val opaque : _ t

Produces an observer that treats all values as equivalent. Random functions generated using this observer will be constant with respect to the value(s) it observes.

val unit : Base.unit t

val bool : Base.bool t

val char : Base.char t

val string : Base.string t

val bytes : Base.bytes t

val int : Base.int t

val int32 : Base.int32 t

val int63 : Base.Int63.t t

val int64 : Base.int64 t

val nativeint : Base.nativeint t

val float : Base.float t

val sexp : Base.Sexp.t t

val option : 'a t -> 'a Base.option t

val list : 'a t -> 'a Base.list t

val array : 'a t -> 'a Base.array t

val ref : 'a t -> 'a Base.ref t

val lazy_t : 'a t -> 'a Base.Lazy.t t

val both : 'a t -> 'b t -> ('a * 'b) t

val either : 'a t -> 'b t -> ('a, 'b) Base.Either.t t

val result : 'a t -> 'b t -> ('a, 'b) Base.Result.t t

This helper module type exists separately just to open Bigarray in its scope.

val bigstring : 
  (Base.char, Bigarray.int8_unsigned_elt, Bigarray.c_layout) Bigarray.Array1.t
    t

val float32_vec : 
  (Base.float, Bigarray.float32_elt, Bigarray.fortran_layout) Bigarray.Array1.t
    t

val float64_vec : 
  (Base.float, Bigarray.float64_elt, Bigarray.fortran_layout) Bigarray.Array1.t
    t

val float32_mat : 
  (Base.float, Bigarray.float32_elt, Bigarray.fortran_layout) Bigarray.Array2.t
    t

val float64_mat : 
  (Base.float, Bigarray.float64_elt, Bigarray.fortran_layout) Bigarray.Array2.t
    t

val fn : 'a Generator.t -> 'b t -> ('a -> 'b) t

Produces an observer that generates random inputs for a given function, calls the function on them, then observes the corresponding outputs.

val map_t : 'key t -> 'data t -> ('key, 'data, 'cmp) Base.Map.t t

val set_t : 'elt t -> ('elt, 'cmp) Base.Set.t t

val map_tree : 
  'key t ->
  'data t ->
  ('key, 'data, 'cmp) Base.Map.Using_comparator.Tree.t t

val set_tree : 'elt t -> ('elt, 'cmp) Base.Set.Using_comparator.Tree.t t

Observers Based on Hash Functions

val of_hash_fold : (Base.Hash.state -> 'a -> Base.Hash.state) -> 'a t

Creates an observer that just calls a hash function. This is a good default for most hashable types not covered by the basic observers above.

Modifying Observers

val unmap : 'a t -> f:('b -> 'a) -> 'b t

Observers for Recursive Types

val fixed_point : ('a t -> 'a t) -> 'a t

Ties the recursive knot to observe recursive types.

For example, here is an observer for binary trees:

let tree_observer leaf_observer =
  fixed_point (fun self ->
    either leaf_observer (both self self)
    |> unmap ~f:(function
      | `Leaf leaf -> First leaf
      | `Node (l, r) -> Second (l, r)))

val of_lazy : 'a t Base.Lazy.t -> 'a t

Creates a t that forces the lazy argument as necessary. Can be used to tie (mutually) recursive knots.

Low-Level functions

Most users do not need to call these functions.

val create : 
  ('a -> size:Base.int -> hash:Base.Hash.state -> Base.Hash.state) ->
  'a t

val observe : 
  'a t ->
  'a ->
  size:Base.int ->
  hash:Base.Hash.state ->
  Base.Hash.state

package base_quickcheck

Basic Observers

Observers Based on Hash Functions

Modifying Observers

Observers for Recursive Types

Low-Level functions