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constraint.ml
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(**************************************************************************)
(* Sail *)
(* *)
(* Copyright (c) 2013-2017 *)
(* Kathyrn Gray *)
(* Shaked Flur *)
(* Stephen Kell *)
(* Gabriel Kerneis *)
(* Robert Norton-Wright *)
(* Christopher Pulte *)
(* Peter Sewell *)
(* Alasdair Armstrong *)
(* Brian Campbell *)
(* Thomas Bauereiss *)
(* Anthony Fox *)
(* Jon French *)
(* Dominic Mulligan *)
(* Stephen Kell *)
(* Mark Wassell *)
(* *)
(* All rights reserved. *)
(* *)
(* This software was developed by the University of Cambridge Computer *)
(* Laboratory as part of the Rigorous Engineering of Mainstream Systems *)
(* (REMS) project, funded by EPSRC grant EP/K008528/1. *)
(* *)
(* Redistribution and use in source and binary forms, with or without *)
(* modification, are permitted provided that the following conditions *)
(* are met: *)
(* 1. Redistributions of source code must retain the above copyright *)
(* notice, this list of conditions and the following disclaimer. *)
(* 2. Redistributions in binary form must reproduce the above copyright *)
(* notice, this list of conditions and the following disclaimer in *)
(* the documentation and/or other materials provided with the *)
(* distribution. *)
(* *)
(* THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' *)
(* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED *)
(* TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A *)
(* PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR *)
(* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, *)
(* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT *)
(* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF *)
(* USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND *)
(* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, *)
(* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT *)
(* OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF *)
(* SUCH DAMAGE. *)
(**************************************************************************)
module Big_int = Nat_big_num
open Ast
open Ast_util
open Util
let opt_smt_verbose = ref false
type solver = {
command : string;
header : string;
footer : string;
negative_literals : bool;
uninterpret_power : bool
}
let cvc4_solver = {
command = "cvc4 -L smtlib2 --tlimit=2000";
header = "(set-logic QF_UFNIA)\n";
footer = "";
negative_literals = false;
uninterpret_power = true
}
let mathsat_solver = {
command = "mathsat";
header = "(set-logic QF_UFLIA)\n";
footer = "";
negative_literals = false;
uninterpret_power = true
}
let z3_solver = {
command = "z3 -t:1000 -T:10";
(* Using push and pop is much faster, I believe because
incremental mode uses a different solver. *)
header = "(push)\n";
footer = "(pop)\n";
negative_literals = true;
uninterpret_power = false;
}
let yices_solver = {
command = "yices-smt2 --timeout=2";
header = "(set-logic QF_UFLIA)\n";
footer = "";
negative_literals = false;
uninterpret_power = true
}
let vampire_solver = {
(* vampire sometimes likes to ignore its time limit *)
command = "timeout -s SIGKILL 3s vampire --time_limit 2s --input_syntax smtlib2 --mode smtcomp";
header = "";
footer = "";
negative_literals = false;
uninterpret_power = true
}
let alt_ergo_solver ={
command = "alt-ergo";
header = "";
footer = "";
negative_literals = false;
uninterpret_power = true
}
let opt_solver = ref z3_solver
let set_solver = function
| "z3" -> opt_solver := z3_solver
| "alt-ergo" -> opt_solver := alt_ergo_solver
| "cvc4" -> opt_solver := cvc4_solver
| "mathsat" -> opt_solver := mathsat_solver
| "vampire" -> opt_solver := vampire_solver
| "yices" -> opt_solver := yices_solver
| unknown -> prerr_endline ("Unrecognised SMT solver " ^ unknown)
(* SMTLIB v2.0 format is based on S-expressions so we have a
lightweight representation of those here. *)
type sexpr = List of (sexpr list) | Atom of string
let sfun (fn : string) (xs : sexpr list) : sexpr = List (Atom fn :: xs)
let rec pp_sexpr : sexpr -> string = function
| List xs -> "(" ^ string_of_list " " pp_sexpr xs ^ ")"
| Atom x -> x
(** Each non-Type/Order kind in Sail mapes to a type in the SMT solver *)
let smt_type l = function
| K_int -> Atom "Int"
| K_bool -> Atom "Bool"
| _ -> raise (Reporting.err_unreachable l __POS__ "Tried to pass Type or Order kinded variable to SMT solver")
let to_smt l vars constr =
(* Numbering all SMT variables v0, ... vn, rather than generating
names based on their Sail names (e.g. using zencode) ensures that
alpha-equivalent constraints generate the same SMT problem, which
is important for the SMT memoisation to work properly. *)
let var_map = ref KBindings.empty in
let vnum = ref (-1) in
let smt_var v =
match KBindings.find_opt v !var_map with
| Some n -> Atom ("v" ^ string_of_int n)
| None ->
let n = !vnum + 1 in
var_map := KBindings.add v n !var_map;
vnum := n;
Atom ("v" ^ string_of_int n)
in
(* var_decs outputs the list of variables to be used by the SMT
solver in SMTLIB v2.0 format. It takes a kind_aux KBindings, as
returned by Type_check.get_typ_vars *)
let var_decs l (vars : kind_aux KBindings.t) : string =
vars
|> KBindings.bindings
|> List.map (fun (v, k) -> sfun "declare-const" [smt_var v; smt_type l k])
|> string_of_list "\n" pp_sexpr
in
let rec smt_nexp (Nexp_aux (aux, l) : nexp) : sexpr =
match aux with
| Nexp_id id -> Atom (Util.zencode_string (string_of_id id))
| Nexp_var v -> smt_var v
| Nexp_constant c
when Big_int.less_equal c (Big_int.of_int (-1)) && not !opt_solver.negative_literals ->
sfun "-" [Atom "0"; Atom (Big_int.to_string (Big_int.abs c))]
| Nexp_constant c -> Atom (Big_int.to_string c)
| Nexp_app (id, nexps) -> sfun (string_of_id id) (List.map smt_nexp nexps)
| Nexp_times (nexp1, nexp2) -> sfun "*" [smt_nexp nexp1; smt_nexp nexp2]
| Nexp_sum (nexp1, nexp2) -> sfun "+" [smt_nexp nexp1; smt_nexp nexp2]
| Nexp_minus (nexp1, nexp2) -> sfun "-" [smt_nexp nexp1; smt_nexp nexp2]
| Nexp_exp nexp ->
begin match nexp_simp nexp with
| Nexp_aux (Nexp_constant c, _) when Big_int.greater_equal c Big_int.zero ->
Atom (Big_int.to_string (Big_int.pow_int_positive 2 (Big_int.to_int c)))
| nexp when !opt_solver.uninterpret_power -> sfun "sailexp" [smt_nexp nexp]
| nexp -> sfun "^" [Atom "2"; smt_nexp nexp]
end
| Nexp_neg nexp -> sfun "-" [smt_nexp nexp]
in
let rec smt_constraint (NC_aux (aux, l) : n_constraint) : sexpr =
match aux with
| NC_equal (nexp1, nexp2) -> sfun "=" [smt_nexp nexp1; smt_nexp nexp2]
| NC_bounded_le (nexp1, nexp2) -> sfun "<=" [smt_nexp nexp1; smt_nexp nexp2]
| NC_bounded_lt (nexp1, nexp2) -> sfun "<" [smt_nexp nexp1; smt_nexp nexp2]
| NC_bounded_ge (nexp1, nexp2) -> sfun ">=" [smt_nexp nexp1; smt_nexp nexp2]
| NC_bounded_gt (nexp1, nexp2) -> sfun ">" [smt_nexp nexp1; smt_nexp nexp2]
| NC_not_equal (nexp1, nexp2) -> sfun "not" [sfun "=" [smt_nexp nexp1; smt_nexp nexp2]]
| NC_set (v, ints) ->
sfun "or" (List.map (fun i -> sfun "=" [smt_var v; Atom (Big_int.to_string i)]) ints)
| NC_or (nc1, nc2) -> sfun "or" [smt_constraint nc1; smt_constraint nc2]
| NC_and (nc1, nc2) -> sfun "and" [smt_constraint nc1; smt_constraint nc2]
| NC_app (id, args) ->
sfun (string_of_id id) (List.map smt_typ_arg args)
| NC_true -> Atom "true"
| NC_false -> Atom "false"
| NC_var v -> smt_var v
and smt_typ_arg (A_aux (aux, l) : typ_arg) : sexpr =
match aux with
| A_nexp nexp -> smt_nexp nexp
| A_bool nc -> smt_constraint nc
| _ ->
raise (Reporting.err_unreachable l __POS__ "Tried to pass Type or Order kind to SMT function")
in
var_decs l vars, smt_constraint constr, smt_var
let smtlib_of_constraints ?get_model:(get_model=false) l vars constr : string * (kid -> sexpr) =
let variables, problem, var_map = to_smt l vars constr in
!opt_solver.header
^ variables ^ "\n"
^ (if !opt_solver.uninterpret_power then "(declare-fun sailexp (Int) Int)\n" else "")
^ pp_sexpr (sfun "define-fun" [Atom "constraint"; List []; Atom "Bool"; problem])
^ "\n(assert constraint)\n(check-sat)"
^ (if get_model then "\n(get-model)\n" else "\n")
^ !opt_solver.footer,
var_map
type smt_result = Unknown | Sat | Unsat
module DigestMap = Map.Make(Digest)
let known_problems = ref (DigestMap.empty)
let known_uniques = ref (DigestMap.empty)
let load_digests_err () =
let in_chan = open_in_bin "z3_problems" in
let rec load () =
let digest = Digest.input in_chan in
let result = input_byte in_chan in
begin
match result with
| 0 -> known_problems := DigestMap.add digest Unknown !known_problems
| 1 -> known_problems := DigestMap.add digest Sat !known_problems
| 2 -> known_problems := DigestMap.add digest Unsat !known_problems
| 3 -> known_uniques := DigestMap.add digest None !known_uniques
| 4 ->
let solution = input_binary_int in_chan in
known_uniques := DigestMap.add digest (Some solution) !known_uniques
| _ -> assert false
end;
load ()
in
try load () with
| End_of_file -> close_in in_chan
let load_digests () =
try load_digests_err () with
| Sys_error _ -> ()
let save_digests () =
let out_chan = open_out_bin "z3_problems" in
let output_problem digest result =
Digest.output out_chan digest;
match result with
| Unknown -> output_byte out_chan 0
| Sat -> output_byte out_chan 1
| Unsat -> output_byte out_chan 2
in
DigestMap.iter output_problem !known_problems;
let output_solution digest result =
Digest.output out_chan digest;
match result with
| None -> output_byte out_chan 3
| Some i -> output_byte out_chan 4; output_binary_int out_chan i
in
DigestMap.iter output_solution !known_uniques;
close_out out_chan
let kopt_pair kopt = (kopt_kid kopt, unaux_kind (kopt_kind kopt))
let call_smt' l constraints : smt_result =
let vars =
kopts_of_constraint constraints
|> KOptSet.elements
|> List.map kopt_pair
|> List.fold_left (fun m (k, v) -> KBindings.add k v m) KBindings.empty
in
let problems = [constraints] in
let smt_file, _ = smtlib_of_constraints l vars constraints in
if !opt_smt_verbose then
prerr_endline (Printf.sprintf "SMTLIB2 constraints are: \n%s%!" smt_file)
else ();
let rec input_lines chan = function
| 0 -> []
| n ->
let l = input_line chan in
let ls = input_lines chan (n - 1) in
l :: ls
in
let rec input_all chan =
match input_line chan with
| l -> l::(input_all chan)
| exception End_of_file -> []
in
let digest = Digest.string smt_file in
match DigestMap.find_opt digest !known_problems with
| Some result -> result
| None ->
let (input_file, tmp_chan) =
try Filename.open_temp_file "constraint_" ".smt2" with
| Sys_error msg -> raise (Reporting.err_general l ("Could not open temp file when calling SMT: " ^ msg))
in
output_string tmp_chan smt_file;
close_out tmp_chan;
let status, smt_output, smt_errors =
try
let smt_out, smt_in, smt_err = Unix.open_process_full (!opt_solver.command ^ " " ^ input_file) (Unix.environment ()) in
let smt_output =
try List.combine problems (input_lines smt_out (List.length problems)) with
| End_of_file -> List.combine problems ["unknown"]
in
let smt_errors = input_all smt_err in
let status = Unix.close_process_full (smt_out, smt_in, smt_err) in
status, smt_output, smt_errors
with
| exn ->
raise (Reporting.err_general l ("Error when calling smt: " ^ Printexc.to_string exn))
in
let _ = match status with
| Unix.WEXITED 0 -> ()
| Unix.WEXITED n ->
raise (Reporting.err_general l ("SMT solver returned unexpected status " ^ string_of_int n ^ "\n" ^ String.concat "\n" smt_errors))
| Unix.WSIGNALED n | Unix.WSTOPPED n ->
raise (Reporting.err_general l ("SMT solver killed by signal " ^ string_of_int n))
in
Sys.remove input_file;
try
let (problem, _) = List.find (fun (_, result) -> result = "unsat") smt_output in
known_problems := DigestMap.add digest Unsat !known_problems;
Unsat
with
| Not_found ->
let unsolved = List.filter (fun (_, result) -> result = "unknown") smt_output in
if unsolved == []
then (known_problems := DigestMap.add digest Sat !known_problems; Sat)
else (known_problems := DigestMap.add digest Unknown !known_problems; Unknown)
let call_smt l constraints =
let t = Profile.start_smt () in
let result = call_smt' l constraints in
Profile.finish_smt t;
result
let solve_smt_file l constraints =
let vars =
kopts_of_constraint constraints
|> KOptSet.elements
|> List.map kopt_pair
|> List.fold_left (fun m (k, v) -> KBindings.add k v m) KBindings.empty
in
smtlib_of_constraints ~get_model:true l vars constraints
let call_smt_solve l smt_file smt_vars var =
let smt_var = pp_sexpr (smt_vars var) in
if !opt_smt_verbose then
prerr_endline (Printf.sprintf "SMTLIB2 constraints are (solve for %s): \n%s%!" smt_var smt_file)
else ();
let rec input_all chan =
try
let l = input_line chan in
let ls = input_all chan in
l :: ls
with
End_of_file -> []
in
let (input_file, tmp_chan) = Filename.open_temp_file "constraint_" ".smt2" in
output_string tmp_chan smt_file;
close_out tmp_chan;
let smt_output =
try
let smt_chan = Unix.open_process_in ("z3 -t:1000 -T:10 " ^ input_file) in
let smt_output = String.concat " " (input_all smt_chan) in
let _ = Unix.close_process_in smt_chan in
smt_output
with
| exn ->
raise (Reporting.err_general l ("Got error when calling smt: " ^ Printexc.to_string exn))
in
Sys.remove input_file;
let regexp = {|(define-fun |} ^ smt_var ^ {| () Int[ ]+\([0-9]+\))|} in
try
let _ = Str.search_forward (Str.regexp regexp) smt_output 0 in
let result = Big_int.of_string (Str.matched_group 1 smt_output) in
Some result
with
| Not_found -> None
let solve_smt l constraints var =
let smt_file, smt_vars = solve_smt_file l constraints in
call_smt_solve l smt_file smt_vars var
let solve_all_smt l constraints var =
let rec aux results =
let constraints = List.fold_left (fun ncs r -> (nc_and ncs (nc_neq (nconstant r) (nvar var)))) constraints results in
match solve_smt l constraints var with
| Some result -> aux (result :: results)
| None ->
match call_smt l constraints with
| Unsat -> Some results
| _ -> None
in
aux []
let solve_unique_smt l constraints var =
let smt_file, smt_vars = solve_smt_file l constraints in
let digest = Digest.string (smt_file ^ pp_sexpr (smt_vars var)) in
match DigestMap.find_opt digest !known_uniques with
| Some (Some result) -> Some (Big_int.of_int result)
| Some (None) -> None
| None ->
match call_smt_solve l smt_file smt_vars var with
| Some result ->
begin match call_smt l (nc_and constraints (nc_neq (nconstant result) (nvar var))) with
| Unsat ->
if Big_int.less_equal Big_int.zero result && Big_int.less result (Big_int.pow_int_positive 2 30) then
known_uniques := DigestMap.add digest (Some (Big_int.to_int result)) !known_uniques
else ();
Some result
| _ ->
known_uniques := DigestMap.add digest None !known_uniques;
None
end
| None ->
known_uniques := DigestMap.add digest None !known_uniques;
None