(************************************************************************) (* v * The Coq Proof Assistant / The Coq Development Team *) (* Errors.errorlabstrm "Some timeout function" (Pp.str"Timeout!") | Exception e -> Errors.print e | TacticFailure e -> Errors.print e | _ -> Pervasives.raise Errors.Unhandled end (** {6 Non-logical layer} *) (** The non-logical monad is a simple [unit -> 'a] (i/o) monad. The operations are simple wrappers around corresponding usual operations and require little documentation. *) module NonLogical = struct (* The functions in this module follow the pattern that they are defined with the form [(); fun ()->...]. This is an optimisation which signals to the compiler that the function is usually partially applied up to the [();]. Without this annotation, partial applications can be significantly slower. Documentation of this behaviour can be found at: https://ocaml.janestreet.com/?q=node/30 *) include Monad.Make(struct type 'a t = unit -> 'a let return a = (); fun () -> a let (>>=) a k = (); fun () -> k (a ()) () let (>>) a k = (); fun () -> a (); k () let map f a = (); fun () -> f (a ()) end) type 'a ref = 'a Pervasives.ref let ignore a = (); fun () -> ignore (a ()) let ref a = (); fun () -> Pervasives.ref a (** [Pervasives.(:=)] *) let (:=) r a = (); fun () -> r := a (** [Pervasives.(!)] *) let (!) = fun r -> (); fun () -> ! r (** [Pervasives.raise]. Except that exceptions are wrapped with {!Exception}. *) let raise ?info = fun e -> (); fun () -> Exninfo.raise ?info (Exception e) (** [try ... with ...] but restricted to {!Exception}. *) let catch = fun s h -> (); fun () -> try s () with Exception e as src -> let (src, info) = Errors.push src in h (e, info) () let read_line = fun () -> try Pervasives.read_line () with e -> let (e, info) = Errors.push e in raise ~info e () let print_char = fun c -> (); fun () -> print_char c (** {!Pp.pp}. The buffer is also flushed. *) let print = fun s -> (); fun () -> try Pp.msg_info s; Pp.pp_flush () with e -> let (e, info) = Errors.push e in raise ~info e () let timeout = fun n t -> (); fun () -> Control.timeout n t (Exception Timeout) let make f = (); fun () -> try f () with e when Errors.noncritical e -> let (e, info) = Errors.push e in Util.iraise (Exception e, info) let run = fun x -> try x () with Exception e as src -> let (src, info) = Errors.push src in Util.iraise (e, info) end (** {6 Logical layer} *) (** The logical monad is a backtracking monad on top of which is layered a state monad (which is used to implement all of read/write, read only, and write only effects). The state monad being layered on top of the backtracking monad makes it so that the state is backtracked on failure. Backtracking differs from regular exception in that, writing (+) for exception catching and (>>=) for bind, we require the following extra distributivity laws: x+(y+z) = (x+y)+z zero+x = x x+zero = x (x+y)>>=k = (x>>=k)+(y>>=k) *) (** A view type for the logical monad, which is a form of list, hence we can decompose it with as a list. *) type ('a, 'b) list_view = | Nil of Exninfo.iexn | Cons of 'a * 'b module type Param = sig (** Read only *) type e (** Write only *) type w (** [w] must be a monoid *) val wunit : w val wprod : w -> w -> w (** Read-write *) type s (** Update-only. Essentially a writer on [u->u]. *) type u (** [u] must be pointed. *) val uunit : u end module Logical (P:Param) = struct (** All three of environment, writer and state are coded as a single state-passing-style monad.*) type state = { rstate : P.e; ustate : P.u; wstate : P.w; sstate : P.s; } (** Double-continuation backtracking monads are reasonable folklore for "search" implementations (including the Tac interactive prover's tactics). Yet it's quite hard to wrap your head around these. I recommand reading a few times the "Backtracking, Interleaving, and Terminating Monad Transformers" paper by O. Kiselyov, C. Shan, D. Friedman, and A. Sabry. The peculiar shape of the monadic type is reminiscent of that of the continuation monad transformer. The paper also contains the rational for the [split] abstraction. An explanation of how to derive such a monad from mathematical principles can be found in "Kan Extensions for Program Optimisation" by Ralf Hinze. A somewhat concrete view is that the type ['a iolist] is, in fact the impredicative encoding of the following stream type: [type 'a _iolist' = Nil of exn | Cons of 'a*'a iolist' and 'a iolist = 'a _iolist NonLogical.t] Using impredicative encoding avoids intermediate allocation and is, empirically, very efficient in Ocaml. It also has the practical benefit that the monadic operation are independent of the underlying monad, which simplifies the code and side-steps the limited inlining of Ocaml. In that vision, [bind] is simply [concat_map] (though the cps version is significantly simpler), [plus] is concatenation, and [split] is pattern-matching. *) type rich_exn = Exninfo.iexn type 'a iolist = { iolist : 'r. (rich_exn -> 'r NonLogical.t) -> ('a -> (rich_exn -> 'r NonLogical.t) -> 'r NonLogical.t) -> 'r NonLogical.t } include Monad.Make(struct type 'a t = state -> ('a * state) iolist let return x : 'a t = (); fun s -> { iolist = fun nil cons -> cons (x, s) nil } let (>>=) (m : 'a t) (f : 'a -> 'b t) : 'b t = (); fun s -> let m = m s in { iolist = fun nil cons -> m.iolist nil (fun (x, s) next -> (f x s).iolist next cons) } let (>>) (m : unit t) (f : 'a t) : 'a t = (); fun s -> let m = m s in { iolist = fun nil cons -> m.iolist nil (fun ((), s) next -> (f s).iolist next cons) } let map (f : 'a -> 'b) (m : 'a t) : 'b t = (); fun s -> let m = m s in { iolist = fun nil cons -> m.iolist nil (fun (x, s) next -> cons (f x, s) next) } end) let zero e : 'a t = (); fun s -> { iolist = fun nil cons -> nil e } let plus m1 m2 : 'a t = (); fun s -> let m1 = m1 s in { iolist = fun nil cons -> m1.iolist (fun e -> (m2 e s).iolist nil cons) cons } let ignore (m : 'a t) : unit t = (); fun s -> let m = m s in { iolist = fun nil cons -> m.iolist nil (fun (_, s) next -> cons ((), s) next) } let lift (m : 'a NonLogical.t) : 'a t = (); fun s -> { iolist = fun nil cons -> NonLogical.(m >>= fun x -> cons (x, s) nil) } (** State related *) let get : P.s t = (); fun s -> { iolist = fun nil cons -> cons (s.sstate, s) nil } let set (sstate : P.s) : unit t = (); fun s -> { iolist = fun nil cons -> cons ((), { s with sstate }) nil } let modify (f : P.s -> P.s) : unit t = (); fun s -> { iolist = fun nil cons -> cons ((), { s with sstate = f s.sstate }) nil } let current : P.e t = (); fun s -> { iolist = fun nil cons -> cons (s.rstate, s) nil } let local (type a) (e:P.e) (m:a t) : a t = (); fun s -> let m = m { s with rstate = e } in { iolist = fun nil cons -> m.iolist nil (fun (x,s') next -> cons (x,{s' with rstate=s.rstate}) next) } let put (w : P.w) : unit t = (); fun s -> { iolist = fun nil cons -> cons ((), { s with wstate = P.wprod s.wstate w }) nil } let update (f : P.u -> P.u) : unit t = (); fun s -> { iolist = fun nil cons -> cons ((), { s with ustate = f s.ustate }) nil } (** List observation *) let once (m : 'a t) : 'a t = (); fun s -> let m = m s in { iolist = fun nil cons -> m.iolist nil (fun x _ -> cons x nil) } let break (f : rich_exn -> rich_exn option) (m : 'a t) : 'a t = (); fun s -> let m = m s in { iolist = fun nil cons -> m.iolist nil (fun x next -> cons x (fun e -> match f e with None -> next e | Some e -> nil e)) } (** For [reflect] and [split] see the "Backtracking, Interleaving, and Terminating Monad Transformers" paper. *) type 'a reified = ('a, rich_exn -> 'a reified) list_view NonLogical.t let rec reflect (m : 'a reified) : 'a iolist = { iolist = fun nil cons -> let next = function | Nil e -> nil e | Cons (x, l) -> cons x (fun e -> (reflect (l e)).iolist nil cons) in NonLogical.(m >>= next) } let split (m : 'a t) : ('a, rich_exn -> 'a t) list_view t = (); fun s -> let m = m s in let rnil e = NonLogical.return (Nil e) in let rcons p l = NonLogical.return (Cons (p, l)) in { iolist = fun nil cons -> let open NonLogical in m.iolist rnil rcons >>= begin function | Nil e -> cons (Nil e, s) nil | Cons ((x, s), l) -> let l e = (); fun _ -> reflect (l e) in cons (Cons (x, l), s) nil end } let run m r s = let s = { wstate = P.wunit; ustate = P.uunit; rstate = r; sstate = s } in let m = m s in let rnil e = NonLogical.return (Nil e) in let rcons (x, s) l = let p = (x, s.sstate, s.wstate, s.ustate) in NonLogical.return (Cons (p, l)) in m.iolist rnil rcons let repr x = x end