Theory TD_plain_s_warrow
section ‹TD\_plain with simple stable (s) and warrowing›
theory TD_plain_s_warrow
imports Basics
begin
locale TD_plain_s_warrow =
fixes T :: "'x ⇒ ('x, 'd :: bounded_lattice_bot) strategy_tree"
fixes widening :: "'d ⇒ 'd ⇒ 'd" (infixl "∇" 65)
and narrowing :: "'d ⇒ 'd ⇒ 'd" (infixl "Δ" 70)
assumes widening_ge: "a ⊔ b ≤ a ∇ b"
and narrowing_in: "a ⊓ b ≤ a Δ b ∧ a Δ b ≤ a"
begin
definition warrowing :: "'d ⇒ 'd ⇒ 'd" (infixl "∇Δ" 65)
where "warrowing a b = (if b ≤ a then a Δ b else a ∇ b)"
function (domintros)
query ::
"'x ⇒ 'x ⇒ 'x set ⇒ 'x set ⇒ 'x set ⇒ ('x, 'd) map ⇒ 'd × 'x set × 'x set × ('x, 'd) map" and
iterate ::
"'x ⇒ 'x set ⇒ 'x set ⇒ 'x set ⇒ ('x, 'd) map ⇒ 'd × 'x set × 'x set × ('x, 'd) map" and
eval ::
"'x ⇒ ('x, 'd) strategy_tree ⇒ 'x set ⇒ 'x set ⇒ 'x set ⇒ ('x, 'd) map
⇒ 'd × 'x set × 'x set × ('x, 'd) map" where
"query x y c s p σ = (
if y ∈ c then
(mlup σ y, s, insert y p, σ)
else
iterate y (insert y c) s p σ)"
| "iterate x c s p σ = (
if x ∉ s then
let (d_new, s', p', σ) = eval x (T x) c (insert x s) p σ in
let d_new' = if x ∉ p then d_new else mlup σ x ∇Δ d_new in
if d_new' = mlup σ x then
(mlup σ x, s', Set.remove x p', σ)
else
iterate x c s p' (σ(x ↦ d_new'))
else (mlup σ x, s, p, σ))"
| "eval x t c s p σ = (case t of
Answer d ⇒ (d, s, p, σ)
| Query y g ⇒ (let (yd, s, p, σ) = query x y c s p σ in eval x (g yd) c s p σ))"
by pat_completeness auto
definition solve :: "'x ⇒ ('x, 'd) map" where
"solve x = (let (_, _, _, σ) = iterate x {x} {} {} Map.empty in σ)"
definition query_dom where
"query_dom x y c s p σ = query_iterate_eval_dom (Inl (x, y, c, s, p, σ))"
declare query_dom_def [simp]
definition iterate_dom where
"iterate_dom x c s p σ = query_iterate_eval_dom (Inr (Inl (x, c, s, p, σ)))"
declare iterate_dom_def [simp]
definition eval_dom where
"eval_dom x t c s p σ = query_iterate_eval_dom (Inr (Inr (x, t, c, s, p, σ)))"
declare eval_dom_def [simp]
definition solve_dom where
"solve_dom x = iterate_dom x {x} {} {} Map.empty"
lemmas dom_defs = query_dom_def iterate_dom_def eval_dom_def
subsection ‹Refinement of auto-generated rules›
lemmas query_iterate_eval_pinduct[consumes 1, case_names Query Iterate Eval]
= query_iterate_eval.pinduct(1)[
folded query_dom_def iterate_dom_def eval_dom_def,
of x y c σ for x y c σ
]
query_iterate_eval.pinduct(2)[
folded query_dom_def iterate_dom_def eval_dom_def,
of x c σ for x c σ
]
query_iterate_eval.pinduct(3)[
folded query_dom_def iterate_dom_def eval_dom_def,
of x t c σ for x t c σ
]
lemmas iterate_pinduct[consumes 1, case_names Iterate]
= query_iterate_eval_pinduct(2)[where ?P="λx y c s p σ. True" and ?R="λx t c s p σ. True",
simplified (no_asm_use), folded query_dom_def iterate_dom_def eval_dom_def]
declare query.psimps [simp]
declare iterate.psimps [simp]
declare eval.psimps [simp]
subsection ‹Domain lemmas›
lemma dom_backwards_pinduct:
shows "query_dom x y c s p σ
⟹ y ∉ c ⟹ iterate_dom y (insert y c) s p σ"
and "iterate_dom x c s p σ
⟹ x ∉ s
⟹ (eval_dom x (T x) c (insert x s) p σ ∧
(eval x (T x) c (insert x s) p σ = (xd_new, s', p', σ')
⟶ mlup σ' x = xd_old ⟶ (if x ∉ p then xd_new else xd_old ∇Δ xd_new) = xd_new'
⟶ xd_new' ≠ xd_old ⟶ iterate_dom x c s p' (σ'(x ↦ xd_new'))))"
and "eval_dom x (Query y g) c s p σ
⟹ (query_dom x y c s p σ ∧ (query x y c s p σ = (yd, s', p', σ')
⟶ eval_dom x (g yd) c s' p' σ'))"
proof (induction x y c s p σ and x c s p σ and x "Query y g" c s p σ
arbitrary: and xd_new xd_new' xd_old s' p' σ' and y g yd s' p' σ'
rule: query_iterate_eval_pinduct)
case (Query x y c s p σ)
show ?case
proof (cases "y ∈ s")
case True
then show ?thesis using iterate_dom_def query_iterate_eval.domintros(2) by blast
next
case False
then show ?thesis
using Query.hyps(2) Query.prems query_iterate_eval.domintros(2)[folded dom_defs] by metis
qed
next
case (Iterate x c s p σ)
then show ?case
using query_iterate_eval.domintros(2,3)[folded eval_dom_def iterate_dom_def query_dom_def]
by metis
next
case (Eval x c s p σ)
then show ?case
using query_iterate_eval.domintros(1,3) by simp
qed
subsection ‹Case rules›
lemma iterate_continue_fixpoint_cases[consumes 3]:
assumes "iterate_dom x c s p σ"
and "iterate x c s p σ = (xd, s', p', σ')"
and "x ∈ c"
obtains (Stable) "x ∈ s"
and "xd = mlup σ x"
and "s = s'"
and "σ = σ'"
and "p = p'"
| (Fixpoint) xd1 p1
where "eval_dom x (T x) c (insert x s) p σ"
and "eval x (T x) c (insert x s) p σ = (xd1, s', p1, σ')"
and "x ∉ s"
and "x ∉ p"
and "xd1 = mlup σ' x"
and "p' = Set.remove x p1"
| (Fixpoint_W) xd1 p1
where "eval_dom x (T x) c (insert x s) p σ"
and "eval x (T x) c (insert x s) p σ = (xd1, s', p1, σ')"
and "x ∉ s"
and "x ∈ p"
and "mlup σ' x ∇Δ xd1 = mlup σ' x"
and "p' = Set.remove x p1"
| (Continue) xd1 s1 p1 σ1
where "eval_dom x (T x) c (insert x s) p σ"
and "eval x (T x) c (insert x s) p σ = (xd1, s1, p1, σ1)"
and "x ∉ s"
and "x ∉ p"
and "xd1 ≠ mlup σ1 x"
and "iterate_dom x c s p1 (σ1(x ↦ xd1))"
and "iterate x c s p1 (σ1(x ↦ xd1)) = (xd, s', p', σ')"
| (Continue_W) xd1 s1 p1 σ1 xdw
where "eval_dom x (T x) c (insert x s) p σ"
and "eval x (T x) c (insert x s) p σ = (xd1, s1, p1, σ1)"
and "x ∉ s"
and "x ∈ p"
and "xdw = mlup σ1 x ∇Δ xd1"
and "xdw ≠ mlup σ1 x"
and "iterate_dom x c s p1 (σ1(x ↦ xdw))"
and "iterate x c s p1 (σ1(x ↦ xdw)) = (xd, s', p', σ')"
proof -
show ?thesis
proof (cases "x ∈ s")
case True
then show ?thesis using Stable assms(1,2) by auto
next
case False
obtain xd1 s1 p1 σ1
where ev: "eval x (T x) c (insert x s) p σ = (xd1, s1, p1, σ1)"
by (cases "eval x (T x) c (insert x s) p σ")
then show ?thesis
proof (cases "x ∈ p")
case True
then show ?thesis
proof (cases "mlup σ1 x ∇Δ xd1 = mlup σ1 x")
case True
then show ?thesis
using assms dom_backwards_pinduct(2)[OF assms(1)] that(3) ev ‹x ∉ s› ‹x ∈ p›
by simp
next
case False
then show ?thesis using assms dom_backwards_pinduct(2)[OF assms(1)] ev True that(5) ‹x ∉ s›
by fastforce
qed
next
case False
then show ?thesis
proof (cases "xd1 = mlup σ1 x")
case True
then show ?thesis using assms dom_backwards_pinduct(2) that(2) ev ‹x ∉ s› False by auto
next
case False
then show ?thesis using assms dom_backwards_pinduct(2) ev ‹x ∉ s› ‹x ∉ p› that(4) by simp
qed
qed
qed
qed
lemma iterate_fmlookup:
assumes "iterate_dom x c s p σ"
and "iterate x c s p σ = (xd, s', p', σ')"
and "x ∈ c"
shows "mlup σ' x = xd"
using assms
proof(induction rule: iterate_pinduct)
case (Iterate x c s σ)
show ?case
using Iterate.hyps Iterate.prems Iterate
by (cases rule: iterate_continue_fixpoint_cases) fastforce+
qed
corollary query_fmlookup:
assumes "query_dom x y c s p σ"
and "query x y c s p σ = (yd, s', p', σ')"
shows "mlup σ' y = yd"
using assms iterate_fmlookup dom_backwards_pinduct(1)[OF assms(1)] query.psimps
by (auto split: if_splits)
lemma query_iterate_lookup_cases [consumes 2]:
assumes "query_dom x y c s p σ"
and "query x y c s p σ = (yd, s', p', σ')"
obtains (Iterate)
"iterate_dom y (insert y c) s p σ"
and "iterate y (insert y c) s p σ = (yd, s', p', σ')"
and "mlup σ' y = yd"
and "y ∉ c"
| (Lookup) "mlup σ y = yd"
and "σ = σ'"
and "y ∈ c"
and "s = s'"
and "p' = insert y p"
using assms that dom_backwards_pinduct(1)[OF assms(1)] query_fmlookup[OF assms]
by(cases "y ∈ c") auto
lemma eval_query_answer_cases [consumes 2]:
assumes "eval_dom x t c s p σ"
and "eval x t c s p σ = (d, s', p', σ')"
obtains (Query) y g yd s1 p1 σ1
where "t = Query y g"
and "query_dom x y c s p σ"
and "query x y c s p σ = (yd, s1, p1, σ1)"
and "eval_dom x (g yd) c s1 p1 σ1"
and "eval x (g yd) c s1 p1 σ1 = (d, s', p', σ')"
and "mlup σ1 y = yd"
| (Answer) "t = Answer d"
and "σ = σ'"
and "s = s'"
and "p = p'"
using assms dom_backwards_pinduct(3) that query_fmlookup
by (cases t; auto split: prod.splits)
subsection ‹Partial correctness proofs›
text‹Invariant for induction proof›
definition invariant where
"invariant s c σ ≡ (∀u∈s - c. dep T σ u ⊆ s) ∧ (∀u∈s - c. eq T u σ ≤ mlup σ u) ∧ c ⊆ s"
lemma invariant_simp:
assumes "x ∈ c"
and "invariant s (c - {x}) σ"
shows "invariant (insert x s) c σ"
using assms
proof -
have "c - {x} ⊆ s ≡ c ⊆ insert x s"
using assms(1)
by (simp add: subset_insert_iff)
moreover have "s - (c - {x}) ⊇ insert x s - c"
using assms(1)
by auto
ultimately show ?thesis
using assms(2)
unfolding invariant_def
by auto
qed
lemma invariant_continue:
assumes "x ∉ s"
and "invariant s c σ"
and "∀y∈s. mlup σ y = mlup σ1 y"
shows "invariant s c (σ1(x ↦ xd))"
proof -
show ?thesis
using assms mlup_eq_mupd_set[OF assms(1,3)] unfolding invariant_def
proof(intro conjI, goal_cases)
case 1 then show ?case using dep_eq[of T] by blast
next
case 2 then show ?case using solution_sufficient[of T] by (metis DiffD1 subsetD)
next
case 3 then show ?case by blast
qed
qed
lemma partial_correctness_ind:
shows "query_dom x y c s p σ
⟹ query x y c s p σ = (yd, s', p', σ')
⟹ invariant s c σ
⟹ invariant s' c σ'
∧ s ∪ reach_cap T σ' c y ⊆ s'
∧ (∀ξ ∈ s. mlup σ ξ = mlup σ' ξ)"
and "iterate_dom x c s p σ
⟹ iterate x c s p σ = (xd, s', p', σ')
⟹ x ∈ c
⟹ invariant s (c - {x}) σ
⟹ invariant s' (c - {x}) σ'
∧ x ∈ s'
∧ s ∪ (reach_cap T σ' (c - {x}) x) ⊆ s'
∧ (∀ξ ∈ s. mlup σ ξ = mlup σ' ξ)"
and "eval_dom x t c s p σ
⟹ eval x t c s p σ = (xd, s', p', σ')
⟹ invariant s c σ
⟹ invariant s' c σ'
∧ s ∪ reach_cap_tree T σ' c t ⊆ s'
∧ (∀ξ ∈ s. mlup σ ξ = mlup σ' ξ)
∧ traverse_rhs t σ' = xd
∧ dep_aux σ' t ⊆ s'"
proof(induction arbitrary: yd s' p' σ' and xd s' p' σ' and xd s' p' σ'
rule: query_iterate_eval_pinduct)
case (Query x c s p σ)
show ?case
using Query.IH(1) Query.prems(1)
proof (cases rule: query_iterate_lookup_cases)
case Iterate
note IH = Query.IH(2)[simplified, OF Iterate(4,2) Query.prems(2)]
then show ?thesis
using Iterate(3) by simp
next
case Lookup
then show ?thesis
using Query.prems(1,2) unfolding invariant_def by auto
qed
next
case (Iterate x c s p σ)
show ?case
using Iterate.IH(1) Iterate.prems(1,2)
proof(cases rule: iterate_continue_fixpoint_cases)
case Stable
then show ?thesis
using Iterate.prems(3) dep_closed_implies_reach_cap_tree_closed[where ?T=T] invariant_def
by auto
next
case (Fixpoint xd1 p1)
note IH = Iterate.IH(2)[OF Fixpoint(3,2) invariant_simp[OF Iterate.prems(2,3)], folded eq_def]
then have "invariant s' (c - {x}) σ'"
using Fixpoint(5)
unfolding invariant_def dep_def
using Diff_iff order_refl singletonD by auto
then show ?thesis
using IH dep_closed_implies_reach_cap_tree_closed[where ?T=T]
unfolding invariant_def
by auto
next
case (Fixpoint_W xd1 p1)
note IH = Iterate.IH(2)[OF Fixpoint_W(3,2) invariant_simp[OF Iterate.prems(2,3)], folded eq_def]
moreover have "xd1 ≤ mlup σ' x"
proof (rule ccontr, goal_cases)
case 1
then have "mlup σ' x ∇ xd1 = mlup σ' x" using Fixpoint_W(5) unfolding warrowing_def by auto
then have "xd1 ≤ mlup σ' x" using widening_ge by (metis le_supE)
then show ?case using 1 by simp
qed
ultimately show ?thesis
using Fixpoint_W(3,4,5) Iterate.prems(2) reach_cap_tree_simp2[of x "c - {x}"]
dep_subset_reach_cap_tree[of σ' "T x", folded dep_def]
unfolding invariant_def
by (smt (z3) Diff_iff Un_subset_iff insert_Diff insert_iff insert_subset subsetI)
next
case (Continue xd1 s1 p1 σ1)
note IH = Iterate.IH(2)[OF Continue(3,2) invariant_simp[OF Iterate.prems(2,3)]]
have inv: "invariant s (c - {x}) (σ1(x ↦ xd1))"
using IH invariant_continue[OF Continue(3) Iterate.prems(3)] by blast
note ih = Iterate.IH(3)[OF Continue(3) Continue(2)[symmetric] _ _ _ _ Continue(5,7)
Iterate.prems(2) inv]
then show ?thesis
using IH mlup_eq_mupd_set[OF Continue(3), of σ] Continue(4)
unfolding mlup_def
by auto
next
case (Continue_W xd1 s1 p1 σ1 xdw)
note IH = Iterate.IH(2)[OF Continue_W(3,2) ] invariant_simp[OF Iterate.prems(2,3)]
have xd1_nle_lup: "xd1 ≠ mlup σ1 x"
proof (cases "xd1 ≤ mlup σ1 x")
case True
then have "xdw = mlup σ1 x Δ xd1" using Continue_W(5) unfolding warrowing_def by simp
moreover have "mlup σ1 x ⊓ xd1 = xd1" using inf_absorb2[OF True] by blast
ultimately have "xd1 ≤ xdw ∧ xdw ≤ mlup σ1 x" using narrowing_in[of "mlup σ1 x" xd1] by auto
then show ?thesis using Continue_W(6) by force
next
case False
then have "xdw = mlup σ1 x ∇ xd1" using Continue_W(5) unfolding warrowing_def by simp
then show ?thesis using Continue_W(6) False by auto
qed
have inv: "invariant s (c - {x}) (σ1(x ↦ xdw))"
using IH invariant_continue[OF Continue_W(3) Iterate.prems(3)] by blast
have ih: "invariant s' (c - {x}) σ' ∧ x ∈ s' ∧ s ∪ insert x (if x ∈ c - {x} then {}
else reach_cap_tree T σ' (insert x (c - {x})) (T x)) ⊆ s'
∧ (∀ξ∈s. mlup (σ1(x ↦ xdw)) ξ = mlup σ' ξ)"
using Iterate.IH(3) Continue_W(8) Iterate.prems(2) inv xd1_nle_lup Continue_W(2-6)
by force
then show ?thesis
using IH mlup_eq_mupd_set[OF Continue_W(3), of σ]
unfolding mlup_def
by auto
qed
next
case (Eval x t c s p σ)
show ?case using Eval.IH(1) Eval.prems(1)
proof(cases rule: eval_query_answer_cases)
case (Query y g yd s1 p1 σ1)
note IH = Eval.IH(2)[OF Query(1,3) Eval.prems(2)]
note ih = Eval.IH(3)[OF Query(1) Query(3)[symmetric] _ _ _ Query(5) conjunct1[OF IH],
of "(s1, p1, σ1)", simplified]
have "mlup σ' y = yd" using IH Query(6) ih by auto
then show ?thesis
using Query(1) IH ih reach_cap_tree_step[where ?T=T]
reach_cap_tree_eq[of T σ1 "insert y c" "T y" σ']
by (simp add: subset_iff)
next
case Answer
then show ?thesis
using Eval.prems(2) by simp
qed
qed
corollary partial_correctness:
assumes "solve_dom x"
and "solve x = σ"
shows "part_post_solution T x σ (reach T σ x)"
proof -
obtain xd p' s' where it: "iterate x {x} {} {} Map.empty = (xd, s', p', σ)"
using assms(2) unfolding solve_def by (auto split: prod.splits)
have "(∀u∈s'. dep T σ u ⊆ s') ∧ (∀u∈s'. eq T u σ ≤ mlup σ u) ∧ reach T σ x ⊆ s'"
using partial_correctness_ind(2)[OF assms(1)[unfolded solve_dom_def] it]
reach_empty_capped[where ?T=T]
unfolding invariant_def
by simp
then show ?thesis using reach.step reach.base by fast
qed
end
end