import Common.Nat namespace BinaryHeap /--A heap, represented as a binary indexed tree. The heap predicate is a type parameter, the index is the element count.-/ inductive BinaryHeap (α : Type u) (lt : α → α → Bool): Nat → Type u | leaf : BinaryHeap α lt 0 | branch : (val : α) → (left : BinaryHeap α lt n) → (right : BinaryHeap α lt m) → m ≤ n → n < 2*(m+1) → (n+1).isPowerOfTwo ∨ (m+1).isPowerOfTwo → BinaryHeap α lt (n+m+1) /--Please do not use this for anything meaningful. It's a debug function, with horrible performance.-/ instance {α : Type u} {lt : α → α → Bool} [ToString α] : ToString (BinaryHeap α lt n) where toString := λt ↦ --not very fast, doesn't matter, is for debugging let rec max_width := λ {m : Nat} (t : (BinaryHeap α lt m)) ↦ match m, t with | 0, .leaf => 0 | (_+_+1), BinaryHeap.branch a left right _ _ _ => max (ToString.toString a).length $ max (max_width left) (max_width right) let max_width := max_width t let lines_left := Nat.log2 (n+1).nextPowerOfTwo let rec print_line := λ (mw : Nat) {m : Nat} (t : (BinaryHeap α lt m)) (lines : Nat) ↦ match m, t with | 0, _ => "" | (_+_+1), BinaryHeap.branch a left right _ _ _ => let thisElem := ToString.toString a let thisElem := (List.replicate (mw - thisElem.length) ' ').asString ++ thisElem let elems_in_last_line := if lines == 0 then 0 else 2^(lines-1) let total_chars_this_line := elems_in_last_line * mw + 2*(elems_in_last_line)+1 let left_offset := (total_chars_this_line - mw) / 2 let whitespaces := max left_offset 1 let whitespaces := List.replicate whitespaces ' ' let thisline := whitespaces.asString ++ thisElem ++ whitespaces.asString ++"\n" let leftLines := (print_line mw left (lines-1) ).splitOn "\n" let rightLines := (print_line mw right (lines-1) ).splitOn "\n" ++ [""] let combined := leftLines.zip (rightLines) let combined := combined.map λ (a : String × String) ↦ a.fst ++ a.snd thisline ++ combined.foldl (· ++ "\n" ++ ·) "" print_line max_width t lines_left /-- Extracts the element count. For when pattern matching is too much work. -/ def BinaryHeap.length : BinaryHeap α lt n → Nat := λ_ ↦ n /--Creates an empty BinaryHeap. Needs the heap predicate as parameter.-/ abbrev BinaryHeap.empty {α : Type u} (lt : α → α → Bool ) := BinaryHeap.leaf (α := α) (lt := lt) theorem power_of_two_mul_two_lt {n m : Nat} (h₁ : m.isPowerOfTwo) (h₂ : n < 2*m) (h₃ : ¬(n+1).isPowerOfTwo) : n+1 < 2*m := if h₄ : n+1 > 2*m then by have h₂ := Nat.succ_le_of_lt h₂ rewrite[←Nat.not_ge_eq] at h₂ simp_arith at h₄ contradiction else if h₅ : n+1 = 2*m then by have h₆ := Nat.mul2_isPowerOfTwo_of_isPowerOfTwo h₁ rewrite[Nat.mul_comm 2 m] at h₅ rewrite[←h₅] at h₆ contradiction else by simp_arith at h₄ exact Nat.lt_of_le_of_ne h₄ h₅ theorem power_of_two_mul_two_le {n m : Nat} (h₁ : (n+1).isPowerOfTwo) (h₂ : n < 2*(m+1)) (h₃ : ¬(m+1).isPowerOfTwo) (h₄ : m > 0): n < 2*m := if h₅ : n > 2*m then by simp_arith at h₂ simp_arith at h₅ have h₆ : n+1 = 2*(m+1) := by simp_arith[Nat.le_antisymm h₂ h₅] rewrite[h₆] at h₁ rewrite[←(Nat.mul2_ispowerOfTwo_iff_isPowerOfTwo (m+1))] at h₁ contradiction else if h₆ : n = 2*m then by -- since (n+1) is a power of 2, n cannot be an even number, but n = 2*m means it's even -- ha, thought I wouldn't see that, didn't you? Thought you're smarter than I, computer? have h₇ : n > 0 := by rewrite[h₆] apply Nat.mul_lt_mul_of_pos_left h₄ (by decide :2 > 0) have h₈ : n ≠ 0 := Ne.symm $ Nat.ne_of_lt h₇ have h₉ := Nat.isPowerOfTwo_even_or_one h₁ simp[h₈] at h₉ have h₉ := Nat.pred_even_odd h₉ (by simp_arith[h₇]) simp at h₉ have h₁₀ := Nat.mul_2_is_even h₆ have h₁₀ := Nat.even_not_odd_even.mp h₁₀ contradiction else by simp[Nat.not_gt_eq] at h₅ have h₅ := Nat.eq_or_lt_of_le h₅ simp[h₆] at h₅ assumption /--Adds a new element to a given BinaryHeap.-/ def BinaryHeap.insert (elem : α) (heap : BinaryHeap α lt o) : BinaryHeap α lt (o+1) := match o, heap with | 0, .leaf => BinaryHeap.branch elem (BinaryHeap.leaf) (BinaryHeap.leaf) (by simp) (by simp) (by simp[Nat.one_isPowerOfTwo]) | (n+m+1), .branch a left right p max_height_difference subtree_complete => let (elem, a) := if lt elem a then (a, elem) else (elem, a) -- okay, based on n and m we know if we want to add left or right. -- the left tree is full, if (n+1) is a power of two AND n != m let leftIsFull := (n+1).nextPowerOfTwo = n+1 if r : m < n ∧ leftIsFull then have s : (m + 1 < n + 1) = (m < n) := by simp_arith have q : m + 1 ≤ n := by apply Nat.le_of_lt_succ rewrite[Nat.succ_eq_add_one] rewrite[s] simp[r] have difference_decreased := Nat.le_succ_of_le $ Nat.le_succ_of_le max_height_difference let result := branch a left (right.insert elem) (q) difference_decreased (by simp[(Nat.power_of_two_iff_next_power_eq (n+1)), r]) result else have q : m ≤ n+1 := by apply (Nat.le_of_succ_le) simp_arith[p] have right_is_power_of_two : (m+1).isPowerOfTwo := if s : n = m then by rewrite[s] at subtree_complete simp at subtree_complete exact subtree_complete else if h₁ : leftIsFull then by simp at h₁ rewrite[Decidable.not_and_iff_or_not (m rewrite[Nat.not_lt_eq] at h₂ have h₃ := Nat.not_le_of_gt $ Nat.lt_of_le_of_ne h₂ s contradiction case inr h₂ => simp at h₂ contradiction else by simp at h₁ rewrite[←Nat.power_of_two_iff_next_power_eq] at h₁ cases subtree_complete case inl => contradiction case inr => trivial have still_in_range : n + 1 < 2 * (m + 1) := by rewrite[Decidable.not_and_iff_or_not (m rewrite[Nat.not_gt_eq n m] at h₁ simp_arith[Nat.le_antisymm h₁ p] case inr h₁ => simp[←Nat.power_of_two_iff_next_power_eq] at h₁ simp[h₁] at subtree_complete exact power_of_two_mul_two_lt subtree_complete max_height_difference h₁ let result := branch a (left.insert elem) right q still_in_range (Or.inr right_is_power_of_two) have letMeSpellItOutForYou : n + 1 + m + 1 = n + m + 1 + 1 := by simp_arith letMeSpellItOutForYou ▸ result /--Helper function for BinaryHeap.indexOf.-/ def BinaryHeap.indexOfAux {α : Type u} {lt : α → α → Bool} [BEq α] (elem : α) (heap : BinaryHeap α lt o) (currentIndex : Nat) : Option (Fin (o+currentIndex)) := match o, heap with | 0, .leaf => none | (n+m+1), .branch a left right _ _ _ => if a == elem then let result := Fin.ofNat' currentIndex (by simp_arith) some result else let found_left := left.indexOfAux elem (currentIndex + 1) let found_left : Option (Fin (n+m+1+currentIndex)) := found_left.map λ a ↦ Fin.ofNat' a (by simp_arith) let found_right := found_left <|> (right.indexOfAux elem (currentIndex + n + 1)).map ((λ a ↦ Fin.ofNat' a (by simp_arith)) : _ → Fin (n+m+1+currentIndex)) found_right /--Finds the first occurance of a given element in the heap and returns its index.-/ def BinaryHeap.indexOf {α : Type u} {lt : α → α → Bool} [BEq α] (elem : α) (heap : BinaryHeap α lt o) : Option (Fin o) := indexOfAux elem heap 0 private inductive Direction | left | right deriving Repr theorem two_n_not_zero_n_not_zero (n : Nat) (p : ¬2*n = 0) : (¬n = 0) := by cases n case zero => contradiction case succ => simp def BinaryHeap.popLast {α : Type u} {lt : α → α → Bool} (heap : BinaryHeap α lt (o+1)) : (α × BinaryHeap α lt o) := match o, heap with | (n+m), .branch a (left : BinaryHeap α lt n) (right : BinaryHeap α lt m) m_le_n max_height_difference subtree_complete => if p : 0 = (n+m) then (a, p▸BinaryHeap.leaf) else --let leftIsFull : Bool := (n+1).nextPowerOfTwo = n+1 let rightIsFull : Bool := (m+1).nextPowerOfTwo = m+1 have m_gt_0_or_rightIsFull : m > 0 ∨ rightIsFull := by cases m <;> simp_arith if r : m < n ∧ rightIsFull then --remove left match n, left with | (l+1), left => let (res, (newLeft : BinaryHeap α lt l)) := left.popLast have q : l + m + 1 = l + 1 +m := by simp_arith have s : m ≤ l := match r with | .intro a _ => by apply Nat.le_of_lt_succ simp[a] have rightIsFull : (m+1).isPowerOfTwo := by have r := And.right r simp[←Nat.power_of_two_iff_next_power_eq] at r assumption have l_lt_2_m_succ : l < 2 * (m+1) := by apply Nat.lt_of_succ_lt; assumption (res, q▸BinaryHeap.branch a newLeft right s l_lt_2_m_succ (Or.inr rightIsFull)) else --remove right have : m > 0 := by cases m_gt_0_or_rightIsFull case inl => assumption case inr h => simp_arith [h] at r -- p, r, m_le_n combined -- r and m_le_n yield m == n and p again done simp_arith --clear left right heap lt a h rightIsFull have n_eq_m : n = m := Nat.le_antisymm r m_le_n rewrite[n_eq_m] at p simp_arith at p apply Nat.zero_lt_of_ne_zero simp_arith[p] apply (two_n_not_zero_n_not_zero m) intro g have g := Eq.symm g revert g assumption match h₂ : m, right with | (l+1), right => let (res, (newRight : BinaryHeap α lt l)) := right.popLast have s : l ≤ n := by have x := (Nat.add_le_add_left (Nat.zero_le 1) l) have x := Nat.le_trans x m_le_n assumption have leftIsFull : (n+1).isPowerOfTwo := by rewrite[Decidable.not_and_iff_or_not] at r cases r case inl h₁ => rewrite[Nat.not_lt_eq] at h₁ have h₂ := Nat.le_antisymm h₁ m_le_n rewrite[←h₂] at subtree_complete simp at subtree_complete assumption case inr h₁ => simp_arith[←Nat.power_of_two_iff_next_power_eq] at h₁ rewrite[h₂] at h₁ simp[h₁] at subtree_complete assumption have still_in_range : n < 2*(l+1) := by rewrite[Decidable.not_and_iff_or_not (l+1 simp_arith at h₁ have h₃ := Nat.le_antisymm m_le_n h₁ subst n have h₄ := Nat.mul_lt_mul_of_pos_right (by decide : 1 < 2) this simp at h₄ assumption | inr h₁ => simp[←Nat.power_of_two_iff_next_power_eq, h₂] at h₁ apply power_of_two_mul_two_le <;> assumption (res, BinaryHeap.branch a left newRight s still_in_range (Or.inl leftIsFull)) /--Removes the element at a given index. Use `BinaryHeap.indexOf` to find the respective index.-/ def BinaryHeap.removeAt {α : Type u} {lt : α → α → Bool} {o : Nat} (index : Fin (o+1)) (heap : BinaryHeap α lt (o+1)) : BinaryHeap α lt o := -- first remove the last element and remember its value sorry ------------------------------------------------------------------------------------------------------- private def TestHeap := let ins : {n: Nat} → Nat → BinaryHeap Nat (λ (a b : Nat) ↦ a < b) n → BinaryHeap Nat (λ (a b : Nat) ↦ a < b) (n+1) := BinaryHeap.insert ins 5 (BinaryHeap.empty (λ (a b : Nat) ↦ a < b)) |> ins 3 |> ins 7 |> ins 12 |> ins 2 |> ins 8 |> ins 97 |> ins 2 |> ins 64 |> ins 71 |> ins 21 |> ins 3 |> ins 4 |> ins 199 |> ins 24 |> ins 3 #eval TestHeap #eval TestHeap.popLast #eval TestHeap.indexOf 71