Theory Longest_Increasing_Subsequence

(*  Title:      HOL/SPARK/Examples/Liseq/Longest_Increasing_Subsequence.thy
    Author:     Stefan Berghofer
    Copyright:  secunet Security Networks AG
*)

theory Longest_Increasing_Subsequence
imports "HOL-SPARK.SPARK"
begin

text ‹
Set of all increasing subsequences in a prefix of an array
›

definition iseq :: "(nat  'a::linorder)  nat  nat set set" where
  "iseq xs l = {is. (iis. i < l) 
     (iis. jis. i  j  xs i  xs j)}"

text ‹
Length of longest increasing subsequence in a prefix of an array
›

definition liseq :: "(nat  'a::linorder)  nat  nat" where
  "liseq xs i = Max (card ` iseq xs i)"

text ‹
Length of longest increasing subsequence ending at a particular position
›

definition liseq' :: "(nat  'a::linorder)  nat  nat" where
  "liseq' xs i = Max (card ` (iseq xs (Suc i)  {is. Max is = i}))"

lemma iseq_finite: "finite (iseq xs i)"
  apply (simp add: iseq_def)
  apply (rule finite_subset [OF _
    finite_Collect_subsets [of "{j. j < i}"]])
  apply auto
  done

lemma iseq_finite': "is  iseq xs i  finite is"
  by (auto simp add: iseq_def bounded_nat_set_is_finite)

lemma iseq_singleton: "i < l  {i}  iseq xs l"
  by (simp add: iseq_def)

lemma iseq_trivial: "{}  iseq xs i"
  by (simp add: iseq_def)

lemma iseq_nonempty: "iseq xs i  {}"
  by (auto intro: iseq_trivial)

lemma liseq'_ge1: "1  liseq' xs x"
  apply (simp add: liseq'_def)
  apply (subgoal_tac "iseq xs (Suc x)  {is. Max is = x}  {}")
  apply (simp add: Max_ge_iff iseq_finite)
  apply (rule_tac x="{x}" in bexI)
  apply (auto intro: iseq_singleton)
  done

lemma liseq_expand:
  assumes R: "is. liseq xs i = card is  is  iseq xs i 
    (js. js  iseq xs i  card js  card is)  P"
  shows "P"
proof -
  have "Max (card ` iseq xs i)  card ` iseq xs i"
    by (rule Max_in) (simp_all add: iseq_finite iseq_nonempty)
  then obtain js where js: "liseq xs i = card js" and "js  iseq xs i"
    by (rule imageE) (simp add: liseq_def)
  moreover {
    fix js'
    assume "js'  iseq xs i"
    then have "card js'  card js"
      by (simp add: js [symmetric] liseq_def iseq_finite iseq_trivial)
  }
  ultimately show ?thesis by (rule R)
qed

lemma liseq'_expand:
  assumes R: "is. liseq' xs i = card is  is  iseq xs (Suc i) 
    finite is  Max is = i 
    (js. js  iseq xs (Suc i)  Max js = i  card js  card is) 
    is  {}  P"
  shows "P"
proof -
  have "Max (card ` (iseq xs (Suc i)  {is. Max is = i})) 
    card ` (iseq xs (Suc i)  {is. Max is = i})"
    by (auto simp add: iseq_finite intro!: iseq_singleton Max_in)
  then obtain js where js: "liseq' xs i = card js" and "js  iseq xs (Suc i)"
    and "finite js" and "Max js = i"
    by (auto simp add: liseq'_def intro: iseq_finite')
  moreover {
    fix js'
    assume "js'  iseq xs (Suc i)" "Max js' = i"
    then have "card js'  card js"
      by (auto simp add: js [symmetric] liseq'_def iseq_finite intro!: iseq_singleton)
  }
  note max = this
  moreover have "card {i}  card js"
    by (rule max) (simp_all add: iseq_singleton)
  then have "js  {}" by auto
  ultimately show ?thesis by (rule R)
qed

lemma liseq'_ge:
  "j = card js  js  iseq xs (Suc i)  Max js = i 
  js  {}  j  liseq' xs i"
  by (simp add: liseq'_def iseq_finite)

lemma liseq'_eq:
  "j = card js  js  iseq xs (Suc i)  Max js = i 
  js  {}  (js'. js'  iseq xs (Suc i)  Max js' = i  finite js' 
    js'  {}  card js'  card js) 
  j = liseq' xs i"
  by (fastforce simp add: liseq'_def iseq_finite
    intro: Max_eqI [symmetric])

lemma liseq_ge:
  "j = card js  js  iseq xs i  j  liseq xs i"
  by (auto simp add: liseq_def iseq_finite)

lemma liseq_eq:
  "j = card js  js  iseq xs i 
  (js'. js'  iseq xs i  finite js' 
    js'  {}  card js'  card js) 
  j = liseq xs i"
  by (fastforce simp add: liseq_def iseq_finite
    intro: Max_eqI [symmetric])

lemma max_notin: "finite xs  Max xs < x  x  xs"
  by (cases "xs = {}") auto

lemma iseq_insert:
  "xs (Max is)  xs i  is  iseq xs i 
  is  {i}  iseq xs (Suc i)"
  apply (frule iseq_finite')
  apply (cases "is = {}")
  apply (auto simp add: iseq_def)
  apply (rule order_trans [of _ "xs (Max is)"])
  apply auto
  apply (thin_tac "ais. a < i")
  apply (drule_tac x=ia in bspec)
  apply assumption
  apply (drule_tac x="Max is" in bspec)
  apply (auto intro: Max_in)
  done

lemma iseq_diff: "is  iseq xs (Suc (Max is)) 
  is - {Max is}  iseq xs (Suc (Max (is - {Max is})))"
  apply (frule iseq_finite')
  apply (simp add: iseq_def less_Suc_eq_le)
  done

lemma iseq_butlast:
  assumes "js  iseq xs (Suc i)" and "js  {}"
  and "Max js  i"
  shows "js  iseq xs i"
proof -
  from assms have fin: "finite js"
    by (simp add: iseq_finite')
  with assms have "Max js  js"
    by auto
  with assms have "Max js < i"
    by (auto simp add: iseq_def)
  with fin assms have "jjs. j < i"
    by simp
  with assms show ?thesis
    by (simp add: iseq_def)
qed

lemma iseq_mono: "is  iseq xs i  i  j  is  iseq xs j"
  by (auto simp add: iseq_def)

lemma diff_nonempty:
  assumes "1 < card is"
  shows "is - {i}  {}"
proof -
  from assms have fin: "finite is" by (auto intro: card_ge_0_finite)
  with assms fin have "card is - 1  card (is - {i})"
    by (simp add: card_Diff_singleton_if)
  with assms have "0 < card (is - {i})" by simp
  then show ?thesis by (simp add: card_gt_0_iff)
qed

lemma Max_diff:
  assumes "1 < card is"
  shows "Max (is - {Max is}) < Max is"
proof -
  from assms have "finite is" by (auto intro: card_ge_0_finite)
  moreover from assms have "is - {Max is}  {}"
    by (rule diff_nonempty)
  ultimately show ?thesis using assms
    apply (auto simp add: not_less)
    apply (subgoal_tac "a  Max is")
    apply auto
    done
qed

lemma iseq_nth: "js  iseq xs l  1 < card js 
  xs (Max (js - {Max js}))  xs (Max js)"
  apply (auto simp add: iseq_def)
  apply (subgoal_tac "Max (js - {Max js})  js")
  apply (thin_tac "ijs. i < l")
  apply (drule_tac x="Max (js - {Max js})" in bspec)
  apply assumption
  apply (drule_tac x="Max js" in bspec)
  using card_gt_0_iff [of js]
  apply simp
  using Max_diff [of js]
  apply simp
  using Max_in [of "js - {Max js}", OF _ diff_nonempty] card_gt_0_iff [of js]
  apply auto
  done

lemma card_leq1_singleton:
  assumes "finite xs" "xs  {}" "card xs  1"
  obtains x where "xs = {x}"
  using assms
  by induct simp_all

lemma longest_iseq1:
  "liseq' xs i =
   Max ({0}  {liseq' xs j |j. j < i  xs j  xs i}) + 1"
proof -
  have "Max ({0}  {liseq' xs j |j. j < i  xs j  xs i}) = liseq' xs i - 1"
  proof (rule Max_eqI)
    fix y
    assume "y  {0}  {liseq' xs j |j. j < i  xs j  xs i}"
    then show "y  liseq' xs i - 1"
    proof
      assume "y  {liseq' xs j |j. j < i  xs j  xs i}"
      then obtain j where j: "j < i" "xs j  xs i" "y = liseq' xs j"
        by auto
      have "liseq' xs j + 1  liseq' xs i"
      proof (rule liseq'_expand)
        fix "is"
        assume H: "liseq' xs j = card is" "is  iseq xs (Suc j)"
          "finite is" "Max is = j" "is  {}"
        from H j have "card is + 1 = card (is  {i})"
          by (simp add: card.insert_remove max_notin)
        moreover {
          from H j have "xs (Max is)  xs i" by simp
          moreover from j < i have "Suc j  i" by simp
          with is  iseq xs (Suc j) have "is  iseq xs i"
            by (rule iseq_mono)
          ultimately have "is  {i}  iseq xs (Suc i)"
          by (rule iseq_insert)
        } moreover from H j have "Max (is  {i}) = i" by simp
        moreover have "is  {i}  {}" by simp
        ultimately have "card is + 1  liseq' xs i"
          by (rule liseq'_ge)
        with H show ?thesis by simp
      qed
      with j show "y  liseq' xs i - 1"
        by simp
    qed simp
  next
    have "liseq' xs i  1 
      (j. liseq' xs i - 1 = liseq' xs j  j < i  xs j  xs i)"
    proof (rule liseq'_expand)
      fix "is"
      assume H: "liseq' xs i = card is" "is  iseq xs (Suc i)"
        "finite is" "Max is = i" "is  {}"
      assume R: "js. js  iseq xs (Suc i)  Max js = i 
        card js  card is"
      show ?thesis
      proof (cases "card is  1")
        case True with H show ?thesis by simp
      next
        case False
        then have "1 < card is" by simp
        then have "Max (is - {Max is}) < Max is"
          by (rule Max_diff)
        from is  iseq xs (Suc i) 1 < card is
        have "xs (Max (is - {Max is}))  xs (Max is)"
          by (rule iseq_nth)
        have "card is - 1 = liseq' xs (Max (is - {i}))"
        proof (rule liseq'_eq)
          from Max is = i [symmetric] finite is is  {}
          show "card is - 1 = card (is - {i})" by simp
        next
          from is  iseq xs (Suc i) Max is = i [symmetric]
          show "is - {i}  iseq xs (Suc (Max (is - {i})))"
            by simp (rule iseq_diff)
        next
          from 1 < card is
          show "is - {i}  {}" by (rule diff_nonempty)
        next
          fix js
          assume "js  iseq xs (Suc (Max (is - {i})))"
            "Max js = Max (is - {i})" "finite js" "js  {}"
          from xs (Max (is - {Max is}))  xs (Max is)
            Max js = Max (is - {i}) Max is = i
          have "xs (Max js)  xs i" by simp
          moreover from Max is = i Max (is - {Max is}) < Max is
          have "Suc (Max (is - {i}))  i"
            by simp
          with js  iseq xs (Suc (Max (is - {i})))
          have "js  iseq xs i"
            by (rule iseq_mono)
          ultimately have "js  {i}  iseq xs (Suc i)"
            by (rule iseq_insert)
          moreover from js  {} finite js Max js = Max (is - {i})
            Max is = i [symmetric] Max (is - {Max is}) < Max is
          have "Max (js  {i}) = i"
            by simp
          ultimately have "card (js  {i})  card is" by (rule R)
          moreover from Max is = i [symmetric] finite js
            Max (is - {Max is}) < Max is Max js = Max (is - {i})
          have "i  js" by (simp add: max_notin)
          with finite js
          have "card (js  {i}) = card ((js  {i}) - {i}) + 1"
            by simp
          ultimately show "card js  card (is - {i})"
            using i  js Max is = i [symmetric] is  {} finite is
            by simp
        qed simp
        with H Max (is - {Max is}) < Max is
          xs (Max (is - {Max is}))  xs (Max is)
        show ?thesis by auto
      qed
    qed
    then show "liseq' xs i - 1  {0} 
      {liseq' xs j |j. j < i  xs j  xs i}" by simp
  qed simp
  moreover have "1  liseq' xs i" by (rule liseq'_ge1)
  ultimately show ?thesis by simp
qed

lemma longest_iseq2': "liseq xs i < liseq' xs i 
  liseq xs (Suc i) = liseq' xs i"
  apply (rule_tac xs=xs and i=i in liseq'_expand)
  apply simp
  apply (rule liseq_eq [symmetric])
  apply (rule refl)
  apply assumption
  apply (case_tac "Max js' = i")
  apply simp
  apply (drule_tac js=js' in iseq_butlast)
  apply assumption+
  apply (drule_tac js=js' in liseq_ge [OF refl])
  apply simp
  done

lemma longest_iseq2: "liseq xs i < liseq' xs i 
  liseq xs i + 1 = liseq' xs i"
  apply (rule_tac xs=xs and i=i in liseq'_expand)
  apply simp
  apply (rule_tac xs=xs and i=i in liseq_expand)
  apply (drule_tac s="Max is" in sym)
  apply simp
  apply (case_tac "card is  1")
  apply simp
  apply (drule iseq_diff)
  apply (drule_tac i="Suc (Max (is - {Max is}))" and j="Max is" in iseq_mono)
  apply (simp add: less_eq_Suc_le [symmetric])
  apply (rule Max_diff)
  apply simp
  apply (drule_tac x="is - {Max is}" in meta_spec,
    drule meta_mp, assumption)
  apply simp
  done

lemma longest_iseq3:
  "liseq xs j = liseq' xs i  xs i  xs j  i < j 
  liseq xs (Suc j) = liseq xs j + 1"
  apply (rule_tac xs=xs and i=j in liseq_expand)
  apply simp
  apply (rule_tac xs=xs and i=i in liseq'_expand)
  apply simp
  apply (rule_tac js="isa  {j}" in liseq_eq [symmetric])
  apply (simp add: card.insert_remove card_Diff_singleton_if max_notin)
  apply (rule iseq_insert)
  apply simp
  apply (erule iseq_mono)
  apply simp
  apply (case_tac "j = Max js'")
  apply simp
  apply (drule iseq_diff)
  apply (drule_tac x="js' - {j}" in meta_spec)
  apply (drule meta_mp)
  apply simp
  apply (case_tac "card js'  1")
  apply (erule_tac xs=js' in card_leq1_singleton)
  apply assumption+
  apply (simp add: iseq_trivial)
  apply (erule iseq_mono)
  apply (simp add: less_eq_Suc_le [symmetric])
  apply (rule Max_diff)
  apply simp
  apply (rule le_diff_iff [THEN iffD1, of 1])
  apply (simp add: card_0_eq [symmetric] del: card_0_eq)
  apply (simp add: card.insert_remove)
  apply (subgoal_tac "card (js' - {j}) = card js' - 1")
  apply (simp add: card.insert_remove card_Diff_singleton_if max_notin)
  apply (frule_tac A=js' in Max_in)
  apply assumption
  apply (simp add: card_Diff_singleton_if)
  apply (drule_tac js=js' in iseq_butlast)
  apply assumption
  apply (erule not_sym)
  apply (drule_tac x=js' in meta_spec)
  apply (drule meta_mp)
  apply assumption
  apply (simp add: card_insert_disjoint max_notin)
  done

lemma longest_iseq4:
  "liseq xs j = liseq' xs i  xs i  xs j  i < j 
  liseq' xs j = liseq' xs i + 1"
  apply (rule_tac xs=xs and i=j in liseq_expand)
  apply simp
  apply (rule_tac xs=xs and i=i in liseq'_expand)
  apply simp
  apply (rule_tac js="isa  {j}" in liseq'_eq [symmetric])
  apply (simp add: card.insert_remove card_Diff_singleton_if max_notin)
  apply (rule iseq_insert)
  apply simp
  apply (erule iseq_mono)
  apply simp
  apply simp
  apply simp
  apply (drule_tac s="Max js'" in sym)
  apply simp
  apply (drule iseq_diff)
  apply (drule_tac x="js' - {j}" in meta_spec)
  apply (drule meta_mp)
  apply simp
  apply (case_tac "card js'  1")
  apply (erule_tac xs=js' in card_leq1_singleton)
  apply assumption+
  apply (simp add: iseq_trivial)
  apply (erule iseq_mono)
  apply (simp add: less_eq_Suc_le [symmetric])
  apply (rule Max_diff)
  apply simp
  apply (rule le_diff_iff [THEN iffD1, of 1])
  apply (simp add: card_0_eq [symmetric] del: card_0_eq)
  apply (simp add: card.insert_remove)
  apply (subgoal_tac "card (js' - {j}) = card js' - 1")
  apply (simp add: card.insert_remove card_Diff_singleton_if max_notin)
  apply (frule_tac A=js' in Max_in)
  apply assumption
  apply (simp add: card_Diff_singleton_if)
  done

lemma longest_iseq5: "liseq' xs i  liseq xs i 
  liseq xs (Suc i) = liseq xs i"
  apply (rule_tac i=i and xs=xs in liseq'_expand)
  apply simp
  apply (rule_tac xs=xs and i=i in liseq_expand)
  apply simp
  apply (rule liseq_eq [symmetric])
  apply (rule refl)
  apply (erule iseq_mono)
  apply simp
  apply (case_tac "Max js' = i")
  apply (drule_tac x=js' in meta_spec)
  apply simp
  apply (drule iseq_butlast, assumption, assumption)
  apply simp
  done

lemma liseq_empty: "liseq xs 0 = 0"
  apply (rule_tac js="{}" in liseq_eq [symmetric])
  apply simp
  apply (rule iseq_trivial)
  apply (simp add: iseq_def)
  done

lemma liseq'_singleton: "liseq' xs 0 = 1"
  by (simp add: longest_iseq1 [of _ 0])

lemma liseq_singleton: "liseq xs (Suc 0) = Suc 0"
  by (simp add: longest_iseq2' liseq_empty liseq'_singleton)

lemma liseq'_Suc_unfold:
  "A j  x 
   (insert 0 {liseq' A j' |j'. j' < Suc j  A j'  x}) =
   (insert 0 {liseq' A j' |j'. j' < j  A j'  x}) 
   {liseq' A j}"
  by (auto simp add: less_Suc_eq)

lemma liseq'_Suc_unfold':
  "¬ (A j  x) 
   {liseq' A j' |j'. j' < Suc j  A j'  x} =
   {liseq' A j' |j'. j' < j  A j'  x}"
  by (auto simp add: less_Suc_eq)

lemma iseq_card_limit:
  assumes "is  iseq A i"
  shows "card is  i"
proof -
  from assms have "is  {0..<i}"
    by (auto simp add: iseq_def)
  with finite_atLeastLessThan have "card is  card {0..<i}"
    by (rule card_mono)
  with card_atLeastLessThan show ?thesis by simp
qed

lemma liseq_limit: "liseq A i  i"
  by (rule_tac xs=A and i=i in liseq_expand)
    (simp add: iseq_card_limit)

lemma liseq'_limit: "liseq' A i  i + 1"
  by (rule_tac xs=A and i=i in liseq'_expand)
    (simp add: iseq_card_limit)

definition max_ext :: "(nat  'a::linorder)  nat  nat  nat" where
  "max_ext A i j = Max ({0}  {liseq' A j' |j'. j' < j  A j'  A i})"

lemma max_ext_limit: "max_ext A i j  j"
  apply (auto simp add: max_ext_def)
  apply (drule Suc_leI)
  apply (cut_tac i=j' and A=A in liseq'_limit)
  apply simp
  done


text ‹Proof functions›

abbreviation (input)
  "arr_conv a  (λn. a (int n))"

lemma idx_conv_suc:
  "0  i  nat (i + 1) = nat i + 1"
  by simp

abbreviation liseq_ends_at' :: "(int  'a::linorder)  int  int" where
  "liseq_ends_at' A i  int (liseq' (λl. A (int l)) (nat i))"

abbreviation liseq_prfx' :: "(int  'a::linorder)  int  int" where
  "liseq_prfx' A i  int (liseq (λl. A (int l)) (nat i))"

abbreviation max_ext' :: "(int  'a::linorder)  int  int  int" where
  "max_ext' A i j  int (max_ext (λl. A (int l)) (nat i) (nat j))"

spark_proof_functions
  liseq_ends_at = "liseq_ends_at' :: (int  int)  int  int"
  liseq_prfx = "liseq_prfx' :: (int  int)  int  int"
  max_ext = "max_ext' :: (int  int)  int  int  int"


text ‹The verification conditions›

spark_open ‹liseq/liseq_length›

spark_vc procedure_liseq_length_5
  by (simp_all add: liseq_singleton liseq'_singleton)

spark_vc procedure_liseq_length_6
proof -
  from H1 H2 H3 H4
  have eq: "liseq (arr_conv a) (nat i) =
    liseq' (arr_conv a) (nat pmax)"
    by simp
  from H14 H3 H4
  have pmax1: "arr_conv a (nat pmax)  arr_conv a (nat i)"
    by simp
  from H3 H4 have pmax2: "nat pmax < nat i"
    by simp
  {
    fix i2
    assume i2: "0  i2" "i2  i"
    have "(l(i := l pmax + 1)) i2 =
      int (liseq' (arr_conv a) (nat i2))"
    proof (cases "i2 = i")
      case True
      from eq pmax1 pmax2 have "liseq' (arr_conv a) (nat i) =
        liseq' (arr_conv a) (nat pmax) + 1"
        by (rule longest_iseq4)
      with True H1 H3 H4 show ?thesis
        by simp
    next
      case False
      with H1 i2 show ?thesis
        by simp
    qed
  }
  then show ?C1 by simp
  from eq pmax1 pmax2
  have "liseq (arr_conv a) (Suc (nat i)) =
    liseq (arr_conv a) (nat i) + 1"
    by (rule longest_iseq3)
 with H2 H3 H4 show ?C2
    by (simp add: idx_conv_suc)
qed

spark_vc procedure_liseq_length_7
proof -
  from H1 show ?C1
    by (simp add: max_ext_def longest_iseq1 [of _ "nat i"])
  from H6
  have m: "max_ext (arr_conv a) (nat i) (nat i) + 1 =
    liseq' (arr_conv a) (nat i)"
    by (simp add: max_ext_def longest_iseq1 [of _ "nat i"])
  with H2 H18
  have gt: "liseq (arr_conv a) (nat i) < liseq' (arr_conv a) (nat i)"
    by simp
  then have "liseq' (arr_conv a) (nat i) = liseq (arr_conv a) (nat i) + 1"
    by (rule longest_iseq2 [symmetric])
  with H2 m show ?C2 by simp
  from gt have "liseq (arr_conv a) (Suc (nat i)) = liseq' (arr_conv a) (nat i)"
    by (rule longest_iseq2')
  with m H6 show ?C3 by (simp add: idx_conv_suc)
qed

spark_vc procedure_liseq_length_8
proof -
  {
    fix i2
    assume i2: "0  i2" "i2  i"
    have "(l(i := max_ext' a i i + 1)) i2 =
      int (liseq' (arr_conv a) (nat i2))"
    proof (cases "i2 = i")
      case True
      with H1 show ?thesis
        by (simp add: max_ext_def longest_iseq1 [of _ "nat i"])
    next
      case False
      with H1 i2 show ?thesis by simp
    qed
  }
  then show ?C1 by simp
  from H2 H6 H18
  have "liseq' (arr_conv a) (nat i)  liseq (arr_conv a) (nat i)"
    by (simp add: max_ext_def longest_iseq1 [of _ "nat i"])
  then have "liseq (arr_conv a) (Suc (nat i)) = liseq (arr_conv a) (nat i)"
    by (rule longest_iseq5)
  with H2 H6 show ?C2 by (simp add: idx_conv_suc)
qed

spark_vc procedure_liseq_length_12
  by (simp add: max_ext_def)

spark_vc procedure_liseq_length_13
  using H1 H6 H13 H21 H22
  by (simp add: max_ext_def
    idx_conv_suc liseq'_Suc_unfold max_def del: Max_less_iff)

spark_vc procedure_liseq_length_14
  using H1 H6 H13 H21
  by (cases "a j  a i")
    (simp_all add: max_ext_def
      idx_conv_suc liseq'_Suc_unfold liseq'_Suc_unfold')

spark_vc procedure_liseq_length_19
  using H3 H4 H5 H8 H9
  apply (rule_tac y="int (nat i)" in order_trans)
  apply (cut_tac A="arr_conv a" and i="nat i" and j="nat i" in max_ext_limit)
  apply simp_all
  done

spark_vc procedure_liseq_length_23
  using H2 H3 H4 H7 H8 H11
  apply (rule_tac y="int (nat i)" in order_trans)
  apply (cut_tac A="arr_conv a" and i="nat i" in liseq_limit)
  apply simp_all
  done

spark_vc procedure_liseq_length_29
  using H2 H3 H8 H13
  by (simp add: add1_zle_eq [symmetric])

spark_end

end