(*<*) (* An abstract completeness theorem *) theory Abstract_Completeness imports Collections.Locale_Code "HOL-Library.Countable_Set" "HOL-Library.FSet" "HOL-Library.Code_Target_Nat" "HOL-Library.Linear_Temporal_Logic_on_Streams" begin (*>*) section\General Tree Concepts\ codatatype 'a tree = Node (root: 'a) (cont: "'a tree fset") inductive tfinite where tfinite: "(\ t'. t' |\| cont t \ tfinite t') \ tfinite t" (*<*)(* Infinite paths in trees. *)(*>*) coinductive ipath where ipath: "\root t = shd steps; t' |\| cont t; ipath t' (stl steps)\ \ ipath t steps" (*<*)(* Finite trees have no infinite paths. *) lemma ftree_no_ipath: "tfinite t \ \ ipath t steps" by (induct t arbitrary: steps rule: tfinite.induct) (auto elim: ipath.cases) (*>*) primcorec konig where "shd (konig t) = root t" | "stl (konig t) = konig (SOME t'. t' |\| cont t \ \ tfinite t')" lemma Konig: "\ tfinite t \ ipath t (konig t)" by (coinduction arbitrary: t) (metis (lifting) tfinite.simps konig.simps someI_ex) section\Rule Systems\ (*<*)(* A step consists of a pair (s,r) such that the rule r is taken in state s. *)(*>*) type_synonym ('state, 'rule) step = "'state \ 'rule" (*<*)(* A derivation tree is a tree of steps: *)(*>*) type_synonym ('state, 'rule) dtree = "('state, 'rule) step tree" locale RuleSystem_Defs = fixes eff :: "'rule \ 'state \ 'state fset \ bool" (* The countable set of rules is initially provided as a stream: *) and rules :: "'rule stream" begin abbreviation "R \ sset rules" lemma countable_R: "countable R" by (metis countableI_type countable_image sset_range) lemma NE_R: "R \ {}" by (metis UNIV_witness all_not_in_conv empty_is_image sset_range) definition "enabled r s \ \ sl. eff r s sl" definition "pickEff r s \ if enabled r s then (SOME sl. eff r s sl) else the None" lemma pickEff: "enabled r s \ eff r s (pickEff r s)" by (metis enabled_def pickEff_def tfl_some) abbreviation "effStep step \ eff (snd step) (fst step)" abbreviation "enabledAtStep r step \ enabled r (fst step)" abbreviation "takenAtStep r step \ snd step = r" text \Saturation is a very strong notion of fairness: If a rule is enabled at some point, it will eventually be taken.\ definition "saturated r \ alw (holds (enabledAtStep r) impl ev (holds (takenAtStep r)))" definition "Saturated steps \ \ r \ R. saturated r steps" (*<*)(* Well-formed derivation trees *)(*>*) coinductive wf where wf: "\snd (root t) \ R; effStep (root t) (fimage (fst o root) (cont t)); \t'. t' |\| cont t \ wf t'\ \ wf t" (*<*)(* Escape paths *)(*>*) coinductive epath where epath: "\snd (shd steps) \ R; fst (shd (stl steps)) |\| sl; effStep (shd steps) sl; epath (stl steps)\ \ epath steps" lemma wf_ipath_epath: assumes "wf t" "ipath t steps" shows "epath steps" proof - have *: "\t st. ipath t st \ root t = shd st" by (auto elim: ipath.cases) show ?thesis using assms proof (coinduction arbitrary: t steps) case epath then show ?case by (cases rule: wf.cases[case_product ipath.cases]) (metis * o_apply fimageI) qed qed definition "fair rs \ sset rs \ R \ (\ r \ R. alw (ev (holds ((=) r))) rs)" lemma fair_stl: "fair rs \ fair (stl rs)" unfolding fair_def by (metis alw.simps subsetD stl_sset subsetI) lemma sdrop_fair: "fair rs \ fair (sdrop m rs)" using alw_sdrop unfolding fair_def by (metis alw.coinduct alw_nxt fair_def fair_stl) section\A Fair Enumeration of the Rules\ (*<*)(* The fair enumeration of rules *)(*>*) definition "fenum \ flat (smap (\n. stake n rules) (fromN 1))" lemma sset_fenum: "sset fenum = R" unfolding fenum_def by (subst sset_flat) (auto simp: stream.set_map in_set_conv_nth sset_range[of rules], metis atLeast_Suc_greaterThan greaterThan_0 lessI range_eqI stake_nth) lemma fair_fenum: "fair fenum" proof - { fix r assume "r \ R" then obtain m where r: "r = rules !! m" unfolding sset_range by blast { fix n :: nat and rs let ?fenum = "\n. flat (smap (\n. stake n rules) (fromN n))" assume "n > 0" hence "alw (ev (holds ((=) r))) (rs @- ?fenum n)" proof (coinduction arbitrary: n rs) case alw show ?case proof (rule exI[of _ "rs @- ?fenum n"], safe) show "\n' rs'. stl (rs @- ?fenum n) = rs' @- ?fenum n' \ n' > 0" proof(cases rs) case Nil thus ?thesis unfolding alw by (intro exI) auto qed (auto simp: alw intro: exI[of _ n]) next show "ev (holds ((=) r)) (rs @- flat (smap (\n. stake n rules) (fromN n)))" using alw r unfolding ev_holds_sset by (cases "m < n") (force simp: stream.set_map in_set_conv_nth)+ qed qed } } thus "fair fenum" unfolding fair_def sset_fenum by (metis fenum_def alw_shift le_less zero_less_one) qed definition "trim rs s = sdrop_while (\r. Not (enabled r s)) rs" (*<*)(* The fair tree associated to a stream of rules and a state *)(*>*) primcorec mkTree where "root (mkTree rs s) = (s, (shd (trim rs s)))" | "cont (mkTree rs s) = fimage (mkTree (stl (trim rs s))) (pickEff (shd (trim rs s)) s)" (*<*)(* More efficient code equation for mkTree *)(*>*) lemma mkTree_unfold[code]: "mkTree rs s = (case trim rs s of SCons r s' \ Node (s, r) (fimage (mkTree s') (pickEff r s)))" by (subst mkTree.ctr) (simp split: stream.splits) end locale RuleSystem = RuleSystem_Defs eff rules for eff :: "'rule \ 'state \ 'state fset \ bool" and rules :: "'rule stream" + fixes S :: "'state set" assumes eff_S: "\ s r sl s'. \s \ S; r \ R; eff r s sl; s' |\| sl\ \ s' \ S" and enabled_R: "\ s. s \ S \ \ r \ R. \ sl. eff r s sl" begin (*<*)(* The minimum waiting time in a stream for the enabled rules in a given state: *)(*>*) definition "minWait rs s \ LEAST n. enabled (shd (sdrop n rs)) s" lemma trim_alt: assumes s: "s \ S" and rs: "fair rs" shows "trim rs s = sdrop (minWait rs s) rs" proof (unfold trim_def minWait_def sdrop_simps, rule sdrop_while_sdrop_LEAST[unfolded o_def]) from enabled_R[OF s] obtain r sl where r: "r \ R" and sl: "eff r s sl" by blast from bspec[OF conjunct2[OF rs[unfolded fair_def]] r] obtain m where "r = rs !! m" by atomize_elim (erule alw.cases, auto simp only: ev_holds_sset sset_range) with r sl show "\n. enabled (rs !! n) s" unfolding enabled_def by auto qed lemma minWait_ex: assumes s: "s \ S" and rs: "fair rs" shows "\ n. enabled (shd (sdrop n rs)) s" proof - obtain r where r: "r \ R" and e: "enabled r s" using enabled_R s unfolding enabled_def by blast then obtain n where "shd (sdrop n rs) = r" using sdrop_fair[OF rs] by (metis (full_types) alw_nxt holds.simps sdrop.simps(1) fair_def sdrop_wait) thus ?thesis using r e by auto qed lemma assumes "s \ S" and "fair rs" shows trim_in_R: "shd (trim rs s) \ R" and trim_enabled: "enabled (shd (trim rs s)) s" and trim_fair: "fair (trim rs s)" unfolding trim_alt[OF assms] minWait_def using LeastI_ex[OF minWait_ex[OF assms]] sdrop_fair[OF assms(2)] conjunct1[OF assms(2)[unfolded fair_def]] by simp_all (metis subsetD snth_sset) lemma minWait_least: "\enabled (shd (sdrop n rs)) s\ \ minWait rs s \ n" unfolding minWait_def by (intro Least_le conjI) lemma in_cont_mkTree: assumes s: "s \ S" and rs: "fair rs" and t': "t' |\| cont (mkTree rs s)" shows "\ sl' s'. s' \ S \ eff (shd (trim rs s)) s sl' \ s' |\| sl' \ t' = mkTree (stl (trim rs s)) s'" proof - define sl' where "sl' = pickEff (shd (trim rs s)) s" obtain s' where s': "s' |\| sl'" and "t' = mkTree (stl (trim rs s)) s'" using t' unfolding sl'_def by auto moreover have 1: "enabled (shd (trim rs s)) s" using trim_enabled[OF s rs] . moreover with trim_in_R pickEff eff_S s rs s'[unfolded sl'_def] have "s' \ S" by blast ultimately show ?thesis unfolding sl'_def using pickEff by blast qed lemma ipath_mkTree_sdrop: assumes s: "s \ S" and rs: "fair rs" and i: "ipath (mkTree rs s) steps" shows "\ n s'. s' \ S \ ipath (mkTree (sdrop n rs) s') (sdrop m steps)" using s rs i proof (induct m arbitrary: steps rs) case (Suc m) then obtain n s' where s': "s' \ S" and ip: "ipath (mkTree (sdrop n rs) s') (sdrop m steps)" (is "ipath ?t _") by blast from ip obtain t' where r: "root ?t = shd (sdrop m steps)" and t': "t' |\| cont ?t" and i: "ipath t' (sdrop (Suc m) steps)" by (cases, simp) from in_cont_mkTree[OF s' sdrop_fair[OF Suc.prems(2)] t'] obtain sl'' s'' where e: "eff (shd (trim (sdrop n rs) s')) s' sl''" and s'': "s'' |\| sl''" and t'_def: "t' = mkTree (stl (trim (sdrop n rs) s')) s''" by blast have "shd (trim (sdrop n rs) s') \ R" by (metis sdrop_fair Suc.prems(2) trim_in_R s') thus ?case using i s'' e s' unfolding sdrop_stl t'_def sdrop_add add.commute[of n] trim_alt[OF s' sdrop_fair[OF Suc.prems(2)]] by (intro exI[of _ "minWait (sdrop n rs) s' + Suc n"] exI[of _ s'']) (simp add: eff_S) qed (auto intro!: exI[of _ 0] exI[of _ s]) lemma wf_mkTree: assumes s: "s \ S" and "fair rs" shows "wf (mkTree rs s)" using assms proof (coinduction arbitrary: rs s) case (wf rs s) let ?t = "mkTree rs s" have "snd (root ?t) \ R" using trim_in_R[OF wf] by simp moreover have "fst \ root \ mkTree (stl (trim rs s)) = id" by auto hence "effStep (root ?t) (fimage (fst \ root) (cont ?t))" using trim_enabled[OF wf] by (simp add: pickEff) ultimately show ?case using fair_stl[OF trim_fair[OF wf]] in_cont_mkTree[OF wf] by (auto intro!: exI[of _ "stl (trim rs s)"]) qed (*<*)(* The position of a rule in a rule stream *)(*>*) definition "pos rs r \ LEAST n. shd (sdrop n rs) = r" lemma pos: "\fair rs; r \ R\ \ shd (sdrop (pos rs r) rs) = r" unfolding pos_def by (rule LeastI_ex) (metis (full_types) alw.cases fair_def holds.simps sdrop_wait) lemma pos_least: "shd (sdrop n rs) = r \ pos rs r \ n" unfolding pos_def by (metis (full_types) Least_le) lemma minWait_le_pos: "\fair rs; r \ R; enabled r s\ \ minWait rs s \ pos rs r" by (auto simp del: sdrop_simps intro: minWait_least simp: pos) lemma stake_pos_minWait: assumes rs: "fair rs" and m: "minWait rs s < pos rs r" and r: "r \ R" and s: "s \ S" shows "pos (stl (trim rs s)) r = pos rs r - Suc (minWait rs s)" proof - have "pos rs r - Suc (minWait rs s) + minWait rs s = pos rs r - Suc 0" using m by auto moreover have "shd (stl (sdrop (pos rs r - Suc 0) rs)) = shd (sdrop (pos rs r) rs)" by (metis Suc_pred gr_implies_not0 m neq0_conv sdrop.simps(2) sdrop_stl) ultimately have "pos (stl (trim rs s)) r \ pos rs r - Suc (minWait rs s)" using pos[OF rs r] by (auto simp: add.commute trim_alt[OF s rs] intro: pos_least) moreover have "pos rs r \ pos (stl (trim rs s)) r + Suc (minWait rs s)" using pos[OF sdrop_fair[OF fair_stl[OF rs]] r, of "minWait rs s"] by (auto simp: trim_alt[OF s rs] add.commute intro: pos_least) hence "pos rs r - Suc (minWait rs s) \ pos (stl (trim rs s)) r" by linarith ultimately show ?thesis by simp qed lemma ipath_mkTree_ev: assumes s: "s \ S" and rs: "fair rs" and i: "ipath (mkTree rs s) steps" and r: "r \ R" and alw: "alw (holds (enabledAtStep r)) steps" shows "ev (holds (takenAtStep r)) steps" using s rs i alw proof (induction "pos rs r" arbitrary: rs s steps rule: less_induct) case (less rs s steps) note s = \s \ S\ and trim_def' = trim_alt[OF s \fair rs\] let ?t = "mkTree rs s" from less(4,3) s in_cont_mkTree obtain t' :: "('state, 'rule) step tree" and s' where rt: "root ?t = shd steps" and i: "ipath (mkTree (stl (trim rs s)) s') (stl steps)" and s': "s' \ S" by cases fast show ?case proof(cases "pos rs r = minWait rs s") case True with pos[OF less.prems(2) r] rt[symmetric] show ?thesis by (auto simp: trim_def' ev.base) next case False have e: "enabled r s" using less.prems(4) rt by (subst (asm) alw_nxt, cases steps) auto with False r less.prems(2) have 2: "minWait rs s < pos rs r" using minWait_le_pos by force let ?m1 = "pos rs r - Suc (minWait rs s)" have "Suc ?m1 \ pos rs r" using 2 by auto moreover have "?m1 = pos (stl (trim rs s)) r" using e \fair rs\ 2 r s by (auto intro: stake_pos_minWait[symmetric]) moreover have "fair (stl (trim rs s))" "alw (holds (enabledAtStep r)) (stl steps)" using less.prems by (metis fair_stl trim_fair, metis alw.simps) ultimately show "?thesis" by (auto intro: ev.step[OF less.hyps[OF _ s' _ i]]) qed qed section\Persistent rules\ definition "per r \ \s r1 sl' s'. s \ S \ enabled r s \ r1 \ R - {r} \ eff r1 s sl' \ s' |\| sl' \ enabled r s'" lemma per_alw: assumes p: "per r" and e: "epath steps \ fst (shd steps) \ S" shows "alw (holds (enabledAtStep r) impl (holds (takenAtStep r) or nxt (holds (enabledAtStep r)))) steps" using e proof coinduct case (alw steps) moreover { let ?s = "fst (shd steps)" let ?r1 = "snd (shd steps)" let ?s' = "fst (shd (stl steps))" assume "?s \ S" and "enabled r ?s" and "?r1 \ r" moreover have "?r1 \ R" using alw by (auto elim: epath.cases) moreover obtain sl' where "eff ?r1 ?s sl' \ ?s' |\| sl'" using alw by (auto elim: epath.cases) ultimately have "enabled r ?s'" using p unfolding per_def by blast } ultimately show ?case by (auto intro: eff_S elim: epath.cases) qed end \ \context RuleSystem\ (*<*) (* Rule-persistent rule system *) (*>*) locale PersistentRuleSystem = RuleSystem eff rules S for eff :: "'rule \ 'state \ 'state fset \ bool" and rules :: "'rule stream" and S + assumes per: "\ r. r \ R \ per r" begin lemma ipath_mkTree_saturated: assumes s: "s \ S" and rs: "fair rs" and i: "ipath (mkTree rs s) steps" and r: "r \ R" shows "saturated r steps" unfolding saturated_def using s rs i proof (coinduction arbitrary: rs s steps) case (alw rs s steps) show ?case proof (intro exI[of _ steps], safe) assume "holds (enabledAtStep r) steps" hence "alw (holds (enabledAtStep r)) steps \ ev (holds (takenAtStep r)) steps" by (rule variance[OF _ per_alw[OF per[OF r]]]) (metis wf_ipath_epath wf_mkTree alw mkTree.simps(1) ipath.simps fst_conv) thus "ev (holds (takenAtStep r)) steps" by (metis ipath_mkTree_ev[OF alw r]) next from alw show "\rs' s' steps'. stl steps = steps' \ s' \ S \ fair rs' \ ipath (mkTree rs' s') steps'" using ipath_mkTree_sdrop[where m=1, simplified] trim_in_R sdrop_fair by fast qed qed theorem ipath_mkTree_Saturated: assumes "s \ S" and "fair rs" and "ipath (mkTree rs s) steps" shows "Saturated steps" unfolding Saturated_def using ipath_mkTree_saturated[OF assms] by blast theorem epath_completeness_Saturated: assumes "s \ S" shows "(\ t. fst (root t) = s \ wf t \ tfinite t) \ (\ steps. fst (shd steps) = s \ epath steps \ Saturated steps)" (is "?A \ ?B") proof - { assume "\ ?A" with assms have "\ tfinite (mkTree fenum s)" using wf_mkTree fair_fenum by auto then obtain steps where "ipath (mkTree fenum s) steps" using Konig by blast with assms have "fst (shd steps) = s \ epath steps \ Saturated steps" by (metis wf_ipath_epath ipath.simps ipath_mkTree_Saturated wf_mkTree fair_fenum mkTree.simps(1) fst_conv) hence ?B by blast } thus ?thesis by blast qed end \ \context PersistentRuleSystem\ section\Code generation\ (* Here we assume a deterministic effect eff': *) locale RuleSystem_Code = fixes eff' :: "'rule \ 'state \ 'state fset option" and rules :: "'rule stream" \ \countably many rules\ begin definition "eff r s sl \ eff' r s = Some sl" end (* context RuleSystem_Code *) definition [code del]: "effG eff' r s sl \ RuleSystem_Code.eff eff' r s sl" sublocale RuleSystem_Code < RuleSystem_Defs where eff = "effG eff'" and rules = rules . context RuleSystem_Code begin lemma enabled_eff': "enabled r s \ eff' r s \ None" unfolding enabled_def effG_def eff_def by auto lemma pickEff_the[code]: "pickEff r s = the (eff' r s)" unfolding pickEff_def enabled_def effG_def eff_def by auto lemmas [code_unfold] = trim_def enabled_eff' pickEff_the (*<*) end (* context RuleSystem_Code *) (*>*) setup Locale_Code.open_block interpretation i: RuleSystem_Code eff' rules for eff' and rules . declare [[lc_delete "RuleSystem_Defs.mkTree (effG ?eff')"]] declare [[lc_delete RuleSystem_Defs.trim]] declare [[lc_delete RuleSystem_Defs.enabled]] declare [[lc_delete RuleSystem_Defs.pickEff]] declare [[lc_add "RuleSystem_Defs.mkTree (effG ?eff')" i.mkTree_unfold]] setup Locale_Code.close_block code_printing constant the \ (Haskell) "fromJust" | constant Option.is_none \ (Haskell) "isNothing" export_code mkTree_effG_uu in Haskell module_name Tree (*file "."*) (*<*) end (*>*)