(* Title: HOL/Decision_Procs/ferrante_rackoff_data.ML
Author: Amine Chaieb, TU Muenchen
Context data for Ferrante and Rackoff's algorithm for quantifier
elimination in dense linear orders.
*)
signature FERRANTE_RACKOF_DATA =
sig
datatype ord = Lt | Le | Gt | Ge | Eq | NEq | Nox
type entry
val get: Proof.context -> (thm * entry) list
val del: attribute
val add: entry -> attribute
val funs: thm ->
{isolate_conv: morphism -> Proof.context -> cterm list -> cterm -> thm,
whatis: morphism -> cterm -> cterm -> ord,
simpset: morphism -> Proof.context -> simpset} -> declaration
val match: Proof.context -> cterm -> entry option
end;
structure Ferrante_Rackoff_Data: FERRANTE_RACKOF_DATA =
struct
(* data *)
datatype ord = Lt | Le | Gt | Ge | Eq | NEq | Nox
type entry =
{minf: thm list, pinf: thm list, nmi: thm list, npi: thm list,
ld: thm list, qe: thm, atoms : cterm list} *
{isolate_conv: Proof.context -> cterm list -> cterm -> thm,
whatis : cterm -> cterm -> ord,
simpset : simpset};
val eq_key = Thm.eq_thm;
fun eq_data arg = eq_fst eq_key arg;
structure Data = Generic_Data
(
type T = (thm * entry) list;
val empty = [];
val extend = I;
fun merge data : T = AList.merge eq_key (K true) data;
);
val get = Data.get o Context.Proof;
fun del_data key = remove eq_data (key, []);
val del = Thm.declaration_attribute (Data.map o del_data);
fun add entry =
Thm.declaration_attribute (fn key => fn context => context |> Data.map
(del_data key #> cons (key, entry)));
(* extra-logical functions *)
fun funs raw_key {isolate_conv = icv, whatis = wi, simpset = ss} phi context =
context |> Data.map (fn data =>
let
val key = Morphism.thm phi raw_key;
val _ = AList.defined eq_key data key orelse
raise THM ("No data entry for structure key", 0, [key]);
val fns =
{isolate_conv = icv phi, whatis = wi phi, simpset = ss phi (Context.proof_of context)};
in AList.map_entry eq_key key (apsnd (K fns)) data end);
fun match ctxt tm =
let
fun match_inst ({minf, pinf, nmi, npi, ld, qe, atoms}, fns) pat =
let
fun h instT =
let
val substT = Thm.instantiate (instT, []);
val substT_cterm = Drule.cterm_rule substT;
val minf' = map substT minf
val pinf' = map substT pinf
val nmi' = map substT nmi
val npi' = map substT npi
val ld' = map substT ld
val qe' = substT qe
val atoms' = map substT_cterm atoms
val result = ({minf = minf', pinf = pinf', nmi = nmi', npi = npi',
ld = ld', qe = qe', atoms = atoms'}, fns)
in SOME result end
in (case try Thm.match (pat, tm) of
NONE => NONE
| SOME (instT, _) => h instT)
end;
fun match_struct (_,
entry as ({atoms = atoms, ...}, _): entry) =
get_first (match_inst entry) atoms;
in get_first match_struct (get ctxt) end;
(* concrete syntax *)
local
val minfN = "minf";
val pinfN = "pinf";
val nmiN = "nmi";
val npiN = "npi";
val lin_denseN = "lindense";
val qeN = "qe"
val atomsN = "atoms"
val simpsN = "simps"
fun keyword k = Scan.lift (Args.$$$ k -- Args.colon) >> K ();
val any_keyword =
keyword minfN || keyword pinfN || keyword nmiN
|| keyword npiN || keyword lin_denseN || keyword qeN
|| keyword atomsN || keyword simpsN;
val thms = Scan.repeat (Scan.unless any_keyword Attrib.multi_thm) >> flat;
val terms = thms >> map Drule.dest_term;
in
val _ =
Theory.setup
(Attrib.setup @{binding ferrack}
((keyword minfN |-- thms)
-- (keyword pinfN |-- thms)
-- (keyword nmiN |-- thms)
-- (keyword npiN |-- thms)
-- (keyword lin_denseN |-- thms)
-- (keyword qeN |-- thms)
-- (keyword atomsN |-- terms) >>
(fn ((((((minf,pinf),nmi),npi),lin_dense),qe), atoms)=>
if length qe = 1 then
add ({minf = minf, pinf = pinf, nmi = nmi, npi = npi, ld = lin_dense,
qe = hd qe, atoms = atoms},
{isolate_conv = undefined, whatis = undefined, simpset = HOL_ss})
else error "only one theorem for qe!"))
"Ferrante Rackoff data");
end;
end;