explicit sublocale dependency for Min/Max yields more appropriate Min/Max prefix for a couple of facts
(* Title: HOL/Library/RBT_Set.thy
Author: Ondrej Kuncar
*)
header {* Implementation of sets using RBT trees *}
theory RBT_Set
imports RBT Product_Lexorder
begin
(*
Users should be aware that by including this file all code equations
outside of List.thy using 'a list as an implenentation of sets cannot be
used for code generation. If such equations are not needed, they can be
deleted from the code generator. Otherwise, a user has to provide their
own equations using RBT trees.
*)
section {* Definition of code datatype constructors *}
definition Set :: "('a\<Colon>linorder, unit) rbt \<Rightarrow> 'a set"
where "Set t = {x . lookup t x = Some ()}"
definition Coset :: "('a\<Colon>linorder, unit) rbt \<Rightarrow> 'a set"
where [simp]: "Coset t = - Set t"
section {* Deletion of already existing code equations *}
lemma [code, code del]:
"Set.empty = Set.empty" ..
lemma [code, code del]:
"Set.is_empty = Set.is_empty" ..
lemma [code, code del]:
"uminus_set_inst.uminus_set = uminus_set_inst.uminus_set" ..
lemma [code, code del]:
"Set.member = Set.member" ..
lemma [code, code del]:
"Set.insert = Set.insert" ..
lemma [code, code del]:
"Set.remove = Set.remove" ..
lemma [code, code del]:
"UNIV = UNIV" ..
lemma [code, code del]:
"Set.filter = Set.filter" ..
lemma [code, code del]:
"image = image" ..
lemma [code, code del]:
"Set.subset_eq = Set.subset_eq" ..
lemma [code, code del]:
"Ball = Ball" ..
lemma [code, code del]:
"Bex = Bex" ..
lemma [code, code del]:
"can_select = can_select" ..
lemma [code, code del]:
"Set.union = Set.union" ..
lemma [code, code del]:
"minus_set_inst.minus_set = minus_set_inst.minus_set" ..
lemma [code, code del]:
"Set.inter = Set.inter" ..
lemma [code, code del]:
"card = card" ..
lemma [code, code del]:
"the_elem = the_elem" ..
lemma [code, code del]:
"Pow = Pow" ..
lemma [code, code del]:
"setsum = setsum" ..
lemma [code, code del]:
"Product_Type.product = Product_Type.product" ..
lemma [code, code del]:
"Id_on = Id_on" ..
lemma [code, code del]:
"Image = Image" ..
lemma [code, code del]:
"trancl = trancl" ..
lemma [code, code del]:
"relcomp = relcomp" ..
lemma [code, code del]:
"wf = wf" ..
lemma [code, code del]:
"Min = Min" ..
lemma [code, code del]:
"Inf_fin = Inf_fin" ..
lemma [code, code del]:
"INFI = INFI" ..
lemma [code, code del]:
"Max = Max" ..
lemma [code, code del]:
"Sup_fin = Sup_fin" ..
lemma [code, code del]:
"SUPR = SUPR" ..
lemma [code, code del]:
"(Inf :: 'a set set \<Rightarrow> 'a set) = Inf" ..
lemma [code, code del]:
"(Sup :: 'a set set \<Rightarrow> 'a set) = Sup" ..
lemma [code, code del]:
"sorted_list_of_set = sorted_list_of_set" ..
lemma [code, code del]:
"List.map_project = List.map_project" ..
section {* Lemmas *}
subsection {* Auxiliary lemmas *}
lemma [simp]: "x \<noteq> Some () \<longleftrightarrow> x = None"
by (auto simp: not_Some_eq[THEN iffD1])
lemma Set_set_keys: "Set x = dom (lookup x)"
by (auto simp: Set_def)
lemma finite_Set [simp, intro!]: "finite (Set x)"
by (simp add: Set_set_keys)
lemma set_keys: "Set t = set(keys t)"
by (simp add: Set_set_keys lookup_keys)
subsection {* fold and filter *}
lemma finite_fold_rbt_fold_eq:
assumes "comp_fun_commute f"
shows "Finite_Set.fold f A (set(entries t)) = fold (curry f) t A"
proof -
have *: "remdups (entries t) = entries t"
using distinct_entries distinct_map by (auto intro: distinct_remdups_id)
show ?thesis using assms by (auto simp: fold_def_alt comp_fun_commute.fold_set_fold_remdups *)
qed
definition fold_keys :: "('a :: linorder \<Rightarrow> 'b \<Rightarrow> 'b) \<Rightarrow> ('a, _) rbt \<Rightarrow> 'b \<Rightarrow> 'b"
where [code_unfold]:"fold_keys f t A = fold (\<lambda>k _ t. f k t) t A"
lemma fold_keys_def_alt:
"fold_keys f t s = List.fold f (keys t) s"
by (auto simp: fold_map o_def split_def fold_def_alt keys_def_alt fold_keys_def)
lemma finite_fold_fold_keys:
assumes "comp_fun_commute f"
shows "Finite_Set.fold f A (Set t) = fold_keys f t A"
using assms
proof -
interpret comp_fun_commute f by fact
have "set (keys t) = fst ` (set (entries t))" by (auto simp: fst_eq_Domain keys_entries)
moreover have "inj_on fst (set (entries t))" using distinct_entries distinct_map by auto
ultimately show ?thesis
by (auto simp add: set_keys fold_keys_def curry_def fold_image finite_fold_rbt_fold_eq
comp_comp_fun_commute)
qed
definition rbt_filter :: "('a :: linorder \<Rightarrow> bool) \<Rightarrow> ('a, 'b) rbt \<Rightarrow> 'a set" where
"rbt_filter P t = fold (\<lambda>k _ A'. if P k then Set.insert k A' else A') t {}"
lemma Set_filter_rbt_filter:
"Set.filter P (Set t) = rbt_filter P t"
by (simp add: fold_keys_def Set_filter_fold rbt_filter_def
finite_fold_fold_keys[OF comp_fun_commute_filter_fold])
subsection {* foldi and Ball *}
lemma Ball_False: "RBT_Impl.fold (\<lambda>k v s. s \<and> P k) t False = False"
by (induction t) auto
lemma rbt_foldi_fold_conj:
"RBT_Impl.foldi (\<lambda>s. s = True) (\<lambda>k v s. s \<and> P k) t val = RBT_Impl.fold (\<lambda>k v s. s \<and> P k) t val"
proof (induction t arbitrary: val)
case (Branch c t1) then show ?case
by (cases "RBT_Impl.fold (\<lambda>k v s. s \<and> P k) t1 True") (simp_all add: Ball_False)
qed simp
lemma foldi_fold_conj: "foldi (\<lambda>s. s = True) (\<lambda>k v s. s \<and> P k) t val = fold_keys (\<lambda>k s. s \<and> P k) t val"
unfolding fold_keys_def by transfer (rule rbt_foldi_fold_conj)
subsection {* foldi and Bex *}
lemma Bex_True: "RBT_Impl.fold (\<lambda>k v s. s \<or> P k) t True = True"
by (induction t) auto
lemma rbt_foldi_fold_disj:
"RBT_Impl.foldi (\<lambda>s. s = False) (\<lambda>k v s. s \<or> P k) t val = RBT_Impl.fold (\<lambda>k v s. s \<or> P k) t val"
proof (induction t arbitrary: val)
case (Branch c t1) then show ?case
by (cases "RBT_Impl.fold (\<lambda>k v s. s \<or> P k) t1 False") (simp_all add: Bex_True)
qed simp
lemma foldi_fold_disj: "foldi (\<lambda>s. s = False) (\<lambda>k v s. s \<or> P k) t val = fold_keys (\<lambda>k s. s \<or> P k) t val"
unfolding fold_keys_def by transfer (rule rbt_foldi_fold_disj)
subsection {* folding over non empty trees and selecting the minimal and maximal element *}
(** concrete **)
(* The concrete part is here because it's probably not general enough to be moved to RBT_Impl *)
definition rbt_fold1_keys :: "('a \<Rightarrow> 'a \<Rightarrow> 'a) \<Rightarrow> ('a::linorder, 'b) RBT_Impl.rbt \<Rightarrow> 'a"
where "rbt_fold1_keys f t = List.fold f (tl(RBT_Impl.keys t)) (hd(RBT_Impl.keys t))"
(* minimum *)
definition rbt_min :: "('a::linorder, unit) RBT_Impl.rbt \<Rightarrow> 'a"
where "rbt_min t = rbt_fold1_keys min t"
lemma key_le_right: "rbt_sorted (Branch c lt k v rt) \<Longrightarrow> (\<And>x. x \<in>set (RBT_Impl.keys rt) \<Longrightarrow> k \<le> x)"
by (auto simp: rbt_greater_prop less_imp_le)
lemma left_le_key: "rbt_sorted (Branch c lt k v rt) \<Longrightarrow> (\<And>x. x \<in>set (RBT_Impl.keys lt) \<Longrightarrow> x \<le> k)"
by (auto simp: rbt_less_prop less_imp_le)
lemma fold_min_triv:
fixes k :: "_ :: linorder"
shows "(\<forall>x\<in>set xs. k \<le> x) \<Longrightarrow> List.fold min xs k = k"
by (induct xs) (auto simp add: min_def)
lemma rbt_min_simps:
"is_rbt (Branch c RBT_Impl.Empty k v rt) \<Longrightarrow> rbt_min (Branch c RBT_Impl.Empty k v rt) = k"
by (auto intro: fold_min_triv dest: key_le_right is_rbt_rbt_sorted simp: rbt_fold1_keys_def rbt_min_def)
fun rbt_min_opt where
"rbt_min_opt (Branch c RBT_Impl.Empty k v rt) = k" |
"rbt_min_opt (Branch c (Branch lc llc lk lv lrt) k v rt) = rbt_min_opt (Branch lc llc lk lv lrt)"
lemma rbt_min_opt_Branch:
"t1 \<noteq> rbt.Empty \<Longrightarrow> rbt_min_opt (Branch c t1 k () t2) = rbt_min_opt t1"
by (cases t1) auto
lemma rbt_min_opt_induct [case_names empty left_empty left_non_empty]:
fixes t :: "('a :: linorder, unit) RBT_Impl.rbt"
assumes "P rbt.Empty"
assumes "\<And>color t1 a b t2. P t1 \<Longrightarrow> P t2 \<Longrightarrow> t1 = rbt.Empty \<Longrightarrow> P (Branch color t1 a b t2)"
assumes "\<And>color t1 a b t2. P t1 \<Longrightarrow> P t2 \<Longrightarrow> t1 \<noteq> rbt.Empty \<Longrightarrow> P (Branch color t1 a b t2)"
shows "P t"
using assms
apply (induction t)
apply simp
apply (case_tac "t1 = rbt.Empty")
apply simp_all
done
lemma rbt_min_opt_in_set:
fixes t :: "('a :: linorder, unit) RBT_Impl.rbt"
assumes "t \<noteq> rbt.Empty"
shows "rbt_min_opt t \<in> set (RBT_Impl.keys t)"
using assms by (induction t rule: rbt_min_opt.induct) (auto)
lemma rbt_min_opt_is_min:
fixes t :: "('a :: linorder, unit) RBT_Impl.rbt"
assumes "rbt_sorted t"
assumes "t \<noteq> rbt.Empty"
shows "\<And>y. y \<in> set (RBT_Impl.keys t) \<Longrightarrow> y \<ge> rbt_min_opt t"
using assms
proof (induction t rule: rbt_min_opt_induct)
case empty
then show ?case by simp
next
case left_empty
then show ?case by (auto intro: key_le_right simp del: rbt_sorted.simps)
next
case (left_non_empty c t1 k v t2 y)
then have "y = k \<or> y \<in> set (RBT_Impl.keys t1) \<or> y \<in> set (RBT_Impl.keys t2)" by auto
with left_non_empty show ?case
proof(elim disjE)
case goal1 then show ?case
by (auto simp add: rbt_min_opt_Branch intro: left_le_key rbt_min_opt_in_set)
next
case goal2 with left_non_empty show ?case by (auto simp add: rbt_min_opt_Branch)
next
case goal3 show ?case
proof -
from goal3 have "rbt_min_opt t1 \<le> k" by (simp add: left_le_key rbt_min_opt_in_set)
moreover from goal3 have "k \<le> y" by (simp add: key_le_right)
ultimately show ?thesis using goal3 by (simp add: rbt_min_opt_Branch)
qed
qed
qed
lemma rbt_min_eq_rbt_min_opt:
assumes "t \<noteq> RBT_Impl.Empty"
assumes "is_rbt t"
shows "rbt_min t = rbt_min_opt t"
proof -
from assms have "hd (RBT_Impl.keys t) # tl (RBT_Impl.keys t) = RBT_Impl.keys t" by (cases t) simp_all
with assms show ?thesis
by (simp add: rbt_min_def rbt_fold1_keys_def rbt_min_opt_is_min
Min.set_eq_fold [symmetric] Min_eqI rbt_min_opt_in_set)
qed
(* maximum *)
definition rbt_max :: "('a::linorder, unit) RBT_Impl.rbt \<Rightarrow> 'a"
where "rbt_max t = rbt_fold1_keys max t"
lemma fold_max_triv:
fixes k :: "_ :: linorder"
shows "(\<forall>x\<in>set xs. x \<le> k) \<Longrightarrow> List.fold max xs k = k"
by (induct xs) (auto simp add: max_def)
lemma fold_max_rev_eq:
fixes xs :: "('a :: linorder) list"
assumes "xs \<noteq> []"
shows "List.fold max (tl xs) (hd xs) = List.fold max (tl (rev xs)) (hd (rev xs))"
using assms by (simp add: Max.set_eq_fold [symmetric])
lemma rbt_max_simps:
assumes "is_rbt (Branch c lt k v RBT_Impl.Empty)"
shows "rbt_max (Branch c lt k v RBT_Impl.Empty) = k"
proof -
have "List.fold max (tl (rev(RBT_Impl.keys lt @ [k]))) (hd (rev(RBT_Impl.keys lt @ [k]))) = k"
using assms by (auto intro!: fold_max_triv dest!: left_le_key is_rbt_rbt_sorted)
then show ?thesis by (auto simp add: rbt_max_def rbt_fold1_keys_def fold_max_rev_eq)
qed
fun rbt_max_opt where
"rbt_max_opt (Branch c lt k v RBT_Impl.Empty) = k" |
"rbt_max_opt (Branch c lt k v (Branch rc rlc rk rv rrt)) = rbt_max_opt (Branch rc rlc rk rv rrt)"
lemma rbt_max_opt_Branch:
"t2 \<noteq> rbt.Empty \<Longrightarrow> rbt_max_opt (Branch c t1 k () t2) = rbt_max_opt t2"
by (cases t2) auto
lemma rbt_max_opt_induct [case_names empty right_empty right_non_empty]:
fixes t :: "('a :: linorder, unit) RBT_Impl.rbt"
assumes "P rbt.Empty"
assumes "\<And>color t1 a b t2. P t1 \<Longrightarrow> P t2 \<Longrightarrow> t2 = rbt.Empty \<Longrightarrow> P (Branch color t1 a b t2)"
assumes "\<And>color t1 a b t2. P t1 \<Longrightarrow> P t2 \<Longrightarrow> t2 \<noteq> rbt.Empty \<Longrightarrow> P (Branch color t1 a b t2)"
shows "P t"
using assms
apply (induction t)
apply simp
apply (case_tac "t2 = rbt.Empty")
apply simp_all
done
lemma rbt_max_opt_in_set:
fixes t :: "('a :: linorder, unit) RBT_Impl.rbt"
assumes "t \<noteq> rbt.Empty"
shows "rbt_max_opt t \<in> set (RBT_Impl.keys t)"
using assms by (induction t rule: rbt_max_opt.induct) (auto)
lemma rbt_max_opt_is_max:
fixes t :: "('a :: linorder, unit) RBT_Impl.rbt"
assumes "rbt_sorted t"
assumes "t \<noteq> rbt.Empty"
shows "\<And>y. y \<in> set (RBT_Impl.keys t) \<Longrightarrow> y \<le> rbt_max_opt t"
using assms
proof (induction t rule: rbt_max_opt_induct)
case empty
then show ?case by simp
next
case right_empty
then show ?case by (auto intro: left_le_key simp del: rbt_sorted.simps)
next
case (right_non_empty c t1 k v t2 y)
then have "y = k \<or> y \<in> set (RBT_Impl.keys t2) \<or> y \<in> set (RBT_Impl.keys t1)" by auto
with right_non_empty show ?case
proof(elim disjE)
case goal1 then show ?case
by (auto simp add: rbt_max_opt_Branch intro: key_le_right rbt_max_opt_in_set)
next
case goal2 with right_non_empty show ?case by (auto simp add: rbt_max_opt_Branch)
next
case goal3 show ?case
proof -
from goal3 have "rbt_max_opt t2 \<ge> k" by (simp add: key_le_right rbt_max_opt_in_set)
moreover from goal3 have "y \<le> k" by (simp add: left_le_key)
ultimately show ?thesis using goal3 by (simp add: rbt_max_opt_Branch)
qed
qed
qed
lemma rbt_max_eq_rbt_max_opt:
assumes "t \<noteq> RBT_Impl.Empty"
assumes "is_rbt t"
shows "rbt_max t = rbt_max_opt t"
proof -
from assms have "hd (RBT_Impl.keys t) # tl (RBT_Impl.keys t) = RBT_Impl.keys t" by (cases t) simp_all
with assms show ?thesis
by (simp add: rbt_max_def rbt_fold1_keys_def rbt_max_opt_is_max
Max.set_eq_fold [symmetric] Max_eqI rbt_max_opt_in_set)
qed
(** abstract **)
lift_definition fold1_keys :: "('a \<Rightarrow> 'a \<Rightarrow> 'a) \<Rightarrow> ('a::linorder, 'b) rbt \<Rightarrow> 'a"
is rbt_fold1_keys by simp
lemma fold1_keys_def_alt:
"fold1_keys f t = List.fold f (tl(keys t)) (hd(keys t))"
by transfer (simp add: rbt_fold1_keys_def)
lemma finite_fold1_fold1_keys:
assumes "semilattice f"
assumes "\<not> is_empty t"
shows "semilattice_set.F f (Set t) = fold1_keys f t"
proof -
from `semilattice f` interpret semilattice_set f by (rule semilattice_set.intro)
show ?thesis using assms
by (auto simp: fold1_keys_def_alt set_keys fold_def_alt non_empty_keys set_eq_fold [symmetric])
qed
(* minimum *)
lift_definition r_min :: "('a :: linorder, unit) rbt \<Rightarrow> 'a" is rbt_min by simp
lift_definition r_min_opt :: "('a :: linorder, unit) rbt \<Rightarrow> 'a" is rbt_min_opt by simp
lemma r_min_alt_def: "r_min t = fold1_keys min t"
by transfer (simp add: rbt_min_def)
lemma r_min_eq_r_min_opt:
assumes "\<not> (is_empty t)"
shows "r_min t = r_min_opt t"
using assms unfolding is_empty_empty by transfer (auto intro: rbt_min_eq_rbt_min_opt)
lemma fold_keys_min_top_eq:
fixes t :: "('a :: {linorder, bounded_lattice_top}, unit) rbt"
assumes "\<not> (is_empty t)"
shows "fold_keys min t top = fold1_keys min t"
proof -
have *: "\<And>t. RBT_Impl.keys t \<noteq> [] \<Longrightarrow> List.fold min (RBT_Impl.keys t) top =
List.fold min (hd(RBT_Impl.keys t) # tl(RBT_Impl.keys t)) top"
by (simp add: hd_Cons_tl[symmetric])
{ fix x :: "_ :: {linorder, bounded_lattice_top}" and xs
have "List.fold min (x#xs) top = List.fold min xs x"
by (simp add: inf_min[symmetric])
} note ** = this
show ?thesis using assms
unfolding fold_keys_def_alt fold1_keys_def_alt is_empty_empty
apply transfer
apply (case_tac t)
apply simp
apply (subst *)
apply simp
apply (subst **)
apply simp
done
qed
(* maximum *)
lift_definition r_max :: "('a :: linorder, unit) rbt \<Rightarrow> 'a" is rbt_max by simp
lift_definition r_max_opt :: "('a :: linorder, unit) rbt \<Rightarrow> 'a" is rbt_max_opt by simp
lemma r_max_alt_def: "r_max t = fold1_keys max t"
by transfer (simp add: rbt_max_def)
lemma r_max_eq_r_max_opt:
assumes "\<not> (is_empty t)"
shows "r_max t = r_max_opt t"
using assms unfolding is_empty_empty by transfer (auto intro: rbt_max_eq_rbt_max_opt)
lemma fold_keys_max_bot_eq:
fixes t :: "('a :: {linorder, bounded_lattice_bot}, unit) rbt"
assumes "\<not> (is_empty t)"
shows "fold_keys max t bot = fold1_keys max t"
proof -
have *: "\<And>t. RBT_Impl.keys t \<noteq> [] \<Longrightarrow> List.fold max (RBT_Impl.keys t) bot =
List.fold max (hd(RBT_Impl.keys t) # tl(RBT_Impl.keys t)) bot"
by (simp add: hd_Cons_tl[symmetric])
{ fix x :: "_ :: {linorder, bounded_lattice_bot}" and xs
have "List.fold max (x#xs) bot = List.fold max xs x"
by (simp add: sup_max[symmetric])
} note ** = this
show ?thesis using assms
unfolding fold_keys_def_alt fold1_keys_def_alt is_empty_empty
apply transfer
apply (case_tac t)
apply simp
apply (subst *)
apply simp
apply (subst **)
apply simp
done
qed
section {* Code equations *}
code_datatype Set Coset
declare set.simps[code]
lemma empty_Set [code]:
"Set.empty = Set RBT.empty"
by (auto simp: Set_def)
lemma UNIV_Coset [code]:
"UNIV = Coset RBT.empty"
by (auto simp: Set_def)
lemma is_empty_Set [code]:
"Set.is_empty (Set t) = RBT.is_empty t"
unfolding Set.is_empty_def by (auto simp: fun_eq_iff Set_def intro: lookup_empty_empty[THEN iffD1])
lemma compl_code [code]:
"- Set xs = Coset xs"
"- Coset xs = Set xs"
by (simp_all add: Set_def)
lemma member_code [code]:
"x \<in> (Set t) = (RBT.lookup t x = Some ())"
"x \<in> (Coset t) = (RBT.lookup t x = None)"
by (simp_all add: Set_def)
lemma insert_code [code]:
"Set.insert x (Set t) = Set (RBT.insert x () t)"
"Set.insert x (Coset t) = Coset (RBT.delete x t)"
by (auto simp: Set_def)
lemma remove_code [code]:
"Set.remove x (Set t) = Set (RBT.delete x t)"
"Set.remove x (Coset t) = Coset (RBT.insert x () t)"
by (auto simp: Set_def)
lemma union_Set [code]:
"Set t \<union> A = fold_keys Set.insert t A"
proof -
interpret comp_fun_idem Set.insert
by (fact comp_fun_idem_insert)
from finite_fold_fold_keys[OF `comp_fun_commute Set.insert`]
show ?thesis by (auto simp add: union_fold_insert)
qed
lemma inter_Set [code]:
"A \<inter> Set t = rbt_filter (\<lambda>k. k \<in> A) t"
by (simp add: inter_Set_filter Set_filter_rbt_filter)
lemma minus_Set [code]:
"A - Set t = fold_keys Set.remove t A"
proof -
interpret comp_fun_idem Set.remove
by (fact comp_fun_idem_remove)
from finite_fold_fold_keys[OF `comp_fun_commute Set.remove`]
show ?thesis by (auto simp add: minus_fold_remove)
qed
lemma union_Coset [code]:
"Coset t \<union> A = - rbt_filter (\<lambda>k. k \<notin> A) t"
proof -
have *: "\<And>A B. (-A \<union> B) = -(-B \<inter> A)" by blast
show ?thesis by (simp del: boolean_algebra_class.compl_inf add: * inter_Set)
qed
lemma union_Set_Set [code]:
"Set t1 \<union> Set t2 = Set (union t1 t2)"
by (auto simp add: lookup_union map_add_Some_iff Set_def)
lemma inter_Coset [code]:
"A \<inter> Coset t = fold_keys Set.remove t A"
by (simp add: Diff_eq [symmetric] minus_Set)
lemma inter_Coset_Coset [code]:
"Coset t1 \<inter> Coset t2 = Coset (union t1 t2)"
by (auto simp add: lookup_union map_add_Some_iff Set_def)
lemma minus_Coset [code]:
"A - Coset t = rbt_filter (\<lambda>k. k \<in> A) t"
by (simp add: inter_Set[simplified Int_commute])
lemma filter_Set [code]:
"Set.filter P (Set t) = (rbt_filter P t)"
by (auto simp add: Set_filter_rbt_filter)
lemma image_Set [code]:
"image f (Set t) = fold_keys (\<lambda>k A. Set.insert (f k) A) t {}"
proof -
have "comp_fun_commute (\<lambda>k. Set.insert (f k))" by default auto
then show ?thesis by (auto simp add: image_fold_insert intro!: finite_fold_fold_keys)
qed
lemma Ball_Set [code]:
"Ball (Set t) P \<longleftrightarrow> foldi (\<lambda>s. s = True) (\<lambda>k v s. s \<and> P k) t True"
proof -
have "comp_fun_commute (\<lambda>k s. s \<and> P k)" by default auto
then show ?thesis
by (simp add: foldi_fold_conj[symmetric] Ball_fold finite_fold_fold_keys)
qed
lemma Bex_Set [code]:
"Bex (Set t) P \<longleftrightarrow> foldi (\<lambda>s. s = False) (\<lambda>k v s. s \<or> P k) t False"
proof -
have "comp_fun_commute (\<lambda>k s. s \<or> P k)" by default auto
then show ?thesis
by (simp add: foldi_fold_disj[symmetric] Bex_fold finite_fold_fold_keys)
qed
lemma subset_code [code]:
"Set t \<le> B \<longleftrightarrow> (\<forall>x\<in>Set t. x \<in> B)"
"A \<le> Coset t \<longleftrightarrow> (\<forall>y\<in>Set t. y \<notin> A)"
by auto
definition non_empty_trees where [code del]: "non_empty_trees t1 t2 \<longleftrightarrow> Coset t1 \<le> Set t2"
code_abort non_empty_trees
lemma subset_Coset_empty_Set_empty [code]:
"Coset t1 \<le> Set t2 \<longleftrightarrow> (case (impl_of t1, impl_of t2) of
(rbt.Empty, rbt.Empty) => False |
(_, _) => non_empty_trees t1 t2)"
proof -
have *: "\<And>t. impl_of t = rbt.Empty \<Longrightarrow> t = RBT rbt.Empty"
by (subst(asm) RBT_inverse[symmetric]) (auto simp: impl_of_inject)
have **: "Lifting.invariant is_rbt rbt.Empty rbt.Empty" unfolding Lifting.invariant_def by simp
show ?thesis
by (auto simp: Set_def lookup.abs_eq[OF **] dest!: * split: rbt.split simp: non_empty_trees_def)
qed
text {* A frequent case – avoid intermediate sets *}
lemma [code_unfold]:
"Set t1 \<subseteq> Set t2 \<longleftrightarrow> foldi (\<lambda>s. s = True) (\<lambda>k v s. s \<and> k \<in> Set t2) t1 True"
by (simp add: subset_code Ball_Set)
lemma card_Set [code]:
"card (Set t) = fold_keys (\<lambda>_ n. n + 1) t 0"
by (auto simp add: card.eq_fold intro: finite_fold_fold_keys comp_fun_commute_const)
lemma setsum_Set [code]:
"setsum f (Set xs) = fold_keys (plus o f) xs 0"
proof -
have "comp_fun_commute (\<lambda>x. op + (f x))" by default (auto simp: add_ac)
then show ?thesis
by (auto simp add: setsum.eq_fold finite_fold_fold_keys o_def)
qed
definition not_a_singleton_tree where [code del]: "not_a_singleton_tree x y = x y"
code_abort not_a_singleton_tree
lemma the_elem_set [code]:
fixes t :: "('a :: linorder, unit) rbt"
shows "the_elem (Set t) = (case impl_of t of
(Branch RBT_Impl.B RBT_Impl.Empty x () RBT_Impl.Empty) \<Rightarrow> x
| _ \<Rightarrow> not_a_singleton_tree the_elem (Set t))"
proof -
{
fix x :: "'a :: linorder"
let ?t = "Branch RBT_Impl.B RBT_Impl.Empty x () RBT_Impl.Empty"
have *:"?t \<in> {t. is_rbt t}" unfolding is_rbt_def by auto
then have **:"Lifting.invariant is_rbt ?t ?t" unfolding Lifting.invariant_def by auto
have "impl_of t = ?t \<Longrightarrow> the_elem (Set t) = x"
by (subst(asm) RBT_inverse[symmetric, OF *])
(auto simp: Set_def the_elem_def lookup.abs_eq[OF **] impl_of_inject)
}
then show ?thesis unfolding not_a_singleton_tree_def
by(auto split: rbt.split unit.split color.split)
qed
lemma Pow_Set [code]:
"Pow (Set t) = fold_keys (\<lambda>x A. A \<union> Set.insert x ` A) t {{}}"
by (simp add: Pow_fold finite_fold_fold_keys[OF comp_fun_commute_Pow_fold])
lemma product_Set [code]:
"Product_Type.product (Set t1) (Set t2) =
fold_keys (\<lambda>x A. fold_keys (\<lambda>y. Set.insert (x, y)) t2 A) t1 {}"
proof -
have *:"\<And>x. comp_fun_commute (\<lambda>y. Set.insert (x, y))" by default auto
show ?thesis using finite_fold_fold_keys[OF comp_fun_commute_product_fold, of "Set t2" "{}" "t1"]
by (simp add: product_fold Product_Type.product_def finite_fold_fold_keys[OF *])
qed
lemma Id_on_Set [code]:
"Id_on (Set t) = fold_keys (\<lambda>x. Set.insert (x, x)) t {}"
proof -
have "comp_fun_commute (\<lambda>x. Set.insert (x, x))" by default auto
then show ?thesis
by (auto simp add: Id_on_fold intro!: finite_fold_fold_keys)
qed
lemma Image_Set [code]:
"(Set t) `` S = fold_keys (\<lambda>(x,y) A. if x \<in> S then Set.insert y A else A) t {}"
by (auto simp add: Image_fold finite_fold_fold_keys[OF comp_fun_commute_Image_fold])
lemma trancl_set_ntrancl [code]:
"trancl (Set t) = ntrancl (card (Set t) - 1) (Set t)"
by (simp add: finite_trancl_ntranl)
lemma relcomp_Set[code]:
"(Set t1) O (Set t2) = fold_keys
(\<lambda>(x,y) A. fold_keys (\<lambda>(w,z) A'. if y = w then Set.insert (x,z) A' else A') t2 A) t1 {}"
proof -
interpret comp_fun_idem Set.insert by (fact comp_fun_idem_insert)
have *: "\<And>x y. comp_fun_commute (\<lambda>(w, z) A'. if y = w then Set.insert (x, z) A' else A')"
by default (auto simp add: fun_eq_iff)
show ?thesis using finite_fold_fold_keys[OF comp_fun_commute_relcomp_fold, of "Set t2" "{}" t1]
by (simp add: relcomp_fold finite_fold_fold_keys[OF *])
qed
lemma wf_set [code]:
"wf (Set t) = acyclic (Set t)"
by (simp add: wf_iff_acyclic_if_finite)
definition not_non_empty_tree where [code del]: "not_non_empty_tree x y = x y"
code_abort not_non_empty_tree
lemma Min_fin_set_fold [code]:
"Min (Set t) = (if is_empty t then not_non_empty_tree Min (Set t) else r_min_opt t)"
proof -
have *: "semilattice (min :: 'a \<Rightarrow> 'a \<Rightarrow> 'a)" ..
with finite_fold1_fold1_keys [OF *, folded Min_def]
show ?thesis
by (simp add: not_non_empty_tree_def r_min_alt_def r_min_eq_r_min_opt [symmetric])
qed
lemma Inf_fin_set_fold [code]:
"Inf_fin (Set t) = Min (Set t)"
by (simp add: inf_min Inf_fin_def Min_def)
lemma Inf_Set_fold:
fixes t :: "('a :: {linorder, complete_lattice}, unit) rbt"
shows "Inf (Set t) = (if is_empty t then top else r_min_opt t)"
proof -
have "comp_fun_commute (min :: 'a \<Rightarrow> 'a \<Rightarrow> 'a)" by default (simp add: fun_eq_iff ac_simps)
then have "t \<noteq> empty \<Longrightarrow> Finite_Set.fold min top (Set t) = fold1_keys min t"
by (simp add: finite_fold_fold_keys fold_keys_min_top_eq)
then show ?thesis
by (auto simp add: Inf_fold_inf inf_min empty_Set[symmetric] r_min_eq_r_min_opt[symmetric] r_min_alt_def)
qed
definition Inf' :: "'a :: {linorder, complete_lattice} set \<Rightarrow> 'a" where [code del]: "Inf' x = Inf x"
declare Inf'_def[symmetric, code_unfold]
declare Inf_Set_fold[folded Inf'_def, code]
lemma INFI_Set_fold [code]:
"INFI (Set t) f = fold_keys (inf \<circ> f) t top"
proof -
have "comp_fun_commute ((inf :: 'a \<Rightarrow> 'a \<Rightarrow> 'a) \<circ> f)"
by default (auto simp add: fun_eq_iff ac_simps)
then show ?thesis
by (auto simp: INF_fold_inf finite_fold_fold_keys)
qed
lemma Max_fin_set_fold [code]:
"Max (Set t) = (if is_empty t then not_non_empty_tree Max (Set t) else r_max_opt t)"
proof -
have *: "semilattice (max :: 'a \<Rightarrow> 'a \<Rightarrow> 'a)" ..
with finite_fold1_fold1_keys [OF *, folded Max_def]
show ?thesis
by (simp add: not_non_empty_tree_def r_max_alt_def r_max_eq_r_max_opt [symmetric])
qed
lemma Sup_fin_set_fold [code]:
"Sup_fin (Set t) = Max (Set t)"
by (simp add: sup_max Sup_fin_def Max_def)
lemma Sup_Set_fold:
fixes t :: "('a :: {linorder, complete_lattice}, unit) rbt"
shows "Sup (Set t) = (if is_empty t then bot else r_max_opt t)"
proof -
have "comp_fun_commute (max :: 'a \<Rightarrow> 'a \<Rightarrow> 'a)" by default (simp add: fun_eq_iff ac_simps)
then have "t \<noteq> empty \<Longrightarrow> Finite_Set.fold max bot (Set t) = fold1_keys max t"
by (simp add: finite_fold_fold_keys fold_keys_max_bot_eq)
then show ?thesis
by (auto simp add: Sup_fold_sup sup_max empty_Set[symmetric] r_max_eq_r_max_opt[symmetric] r_max_alt_def)
qed
definition Sup' :: "'a :: {linorder, complete_lattice} set \<Rightarrow> 'a" where [code del]: "Sup' x = Sup x"
declare Sup'_def[symmetric, code_unfold]
declare Sup_Set_fold[folded Sup'_def, code]
lemma SUPR_Set_fold [code]:
"SUPR (Set t) f = fold_keys (sup \<circ> f) t bot"
proof -
have "comp_fun_commute ((sup :: 'a \<Rightarrow> 'a \<Rightarrow> 'a) \<circ> f)"
by default (auto simp add: fun_eq_iff ac_simps)
then show ?thesis
by (auto simp: SUP_fold_sup finite_fold_fold_keys)
qed
lemma sorted_list_set[code]:
"sorted_list_of_set (Set t) = keys t"
by (auto simp add: set_keys intro: sorted_distinct_set_unique)
hide_const (open) RBT_Set.Set RBT_Set.Coset
end