Base_quickcheck.ObserverSourceObservers create random functions. Generator.fn creates a random function using an observer for the input type and a generator for the output type.
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.
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
tval float32_vec :
(Base.float, Bigarray.float32_elt, Bigarray.fortran_layout) Bigarray.Array1.t
tval float64_vec :
(Base.float, Bigarray.float64_elt, Bigarray.fortran_layout) Bigarray.Array1.t
tval float32_mat :
(Base.float, Bigarray.float32_elt, Bigarray.fortran_layout) Bigarray.Array2.t
tval float64_mat :
(Base.float, Bigarray.float64_elt, Bigarray.fortran_layout) Bigarray.Array2.t
tProduces an observer that generates random inputs for a given function, calls the function on them, then observes the corresponding outputs.
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.
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)))Creates a t that forces the lazy argument as necessary. Can be used to tie (mutually) recursive knots.
Most users do not need to call these functions.