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import Common.Nat
namespace BinaryHeap
inductive BalancedTree (α : Type u) : Nat → Type u
| leaf : BalancedTree α 0
| branch :
(val : α)
→ (left : BalancedTree α n)
→ (right : BalancedTree α m)
→ m ≤ n
→ n < 2*(m+1)
→ (n+1).isPowerOfTwo ∨ (m+1).isPowerOfTwo
→ BalancedTree α (n+m+1)
def WellDefinedLt {α : Type u} (lt : α → α → Bool) : Prop := ∀ (a b : α), lt a b → ¬lt b a
def HeapPredicate {α : Type u} {n : Nat} (heap : BalancedTree α n) (lt : α → α → Bool) : Prop :=
match heap with
| .leaf => True
| .branch a left right _ _ _ =>
HeapPredicate left lt ∧ HeapPredicate right lt ∧ notSmallerOrLeaf a left ∧ notSmallerOrLeaf a right
where notSmallerOrLeaf := λ {m : Nat} (v : α) (h : BalancedTree α m) ↦ match h with
| .leaf => true
| .branch w _ _ _ _ _ => !lt w v
structure BinaryHeap (α : Type u) (lt : α → α → Bool) (n : Nat) where
tree : BalancedTree α n
valid : HeapPredicate tree lt
wellDefinedLt : WellDefinedLt lt
/--Please do not use this for anything meaningful. It's a debug function, with horrible performance.-/
instance {α : Type u} [ToString α] : ToString (BalancedTree α n) where
toString := λt ↦
--not very fast, doesn't matter, is for debugging
let rec max_width := λ {m : Nat} (t : (BalancedTree α m)) ↦ match m, t with
| 0, .leaf => 0
| (_+_+1), BalancedTree.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 : (BalancedTree α m)) (lines : Nat) ↦
match m, t with
| 0, _ => ""
| (_+_+1), BalancedTree.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 BalancedTree.length : BalancedTree α n → Nat := λ_ ↦ n
def BalancedTree.root (tree : BalancedTree α n) (_ : 0 < n) : α := match tree with
| .branch a _ _ _ _ _ => a
/--Creates an empty BalancedTree. Needs the heap predicate as parameter.-/
abbrev BalancedTree.empty {α : Type u} := BalancedTree.leaf (α := α)
theorem BalancedTree.emptyIsHeap {α : Type u} (lt : α → α → Bool) : HeapPredicate BalancedTree.empty lt := by trivial
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 BalancedTree.-/
private def BalancedTree.heapInsert (lt : α → α → Bool) (elem : α) (heap : BalancedTree α o) : BalancedTree α (o+1) :=
match o, heap with
| 0, .leaf => BalancedTree.branch elem (BalancedTree.leaf) (BalancedTree.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.heapInsert lt 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<n) leftIsFull] at r
cases r
case inl h₂ => 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<n) leftIsFull] at r
cases r
case inl h₁ => 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.heapInsert lt 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
theorem BalancedTree.heapInsertRootSameOrElem {elem : α} {heap : BalancedTree α o} {lt : α → α → Bool} (h₁ : HeapPredicate heap lt) (h₂ : 0 < o) : (BalancedTree.root (heap.heapInsert lt elem) (by simp_arith) = elem) ∨ (BalancedTree.root (heap.heapInsert lt elem) (by simp_arith) = BalancedTree.root heap h₂) :=
match o, heap with
| (n+m+1), .branch v l r _ _ _ =>
if h₃ : m < n ∧ Nat.nextPowerOfTwo (n + 1) = n + 1 then by
unfold BalancedTree.heapInsert
simp[h₃]
cases (lt elem v) <;> simp[instDecidableEqBool, Bool.decEq, BalancedTree.root]
else by
unfold BalancedTree.heapInsert
simp[h₃]
cases (lt elem v)
<;> simp[instDecidableEqBool, Bool.decEq, BalancedTree.root]
<;> split
<;> case _ nn mm x _ _ _ _ _ _ h₅ h₄ _ =>
sorry
theorem BalancedTree.heapInsertIsHeap {elem : α} {heap : BalancedTree α o} {lt : α → α → Bool} (h₁ : HeapPredicate heap lt) (h₂ : WellDefinedLt lt) : HeapPredicate (heap.heapInsert lt elem) lt :=
match o, heap with
| 0, .leaf => by trivial
| (n+m+1), .branch v l r _ _ _ =>
if h₃ : m < n ∧ Nat.nextPowerOfTwo (n + 1) = n + 1 then by
unfold BalancedTree.heapInsert
simp[h₃]
cases h₄ : (lt elem v) <;> simp[instDecidableEqBool, Bool.decEq]
case true => sorry
case false =>
unfold HeapPredicate
unfold HeapPredicate at h₁
have h₅ : (HeapPredicate (BalancedTree.heapInsert lt elem r) lt) := BalancedTree.heapInsertIsHeap h₁.right.left h₂
simp[h₁, h₅]
unfold HeapPredicate.notSmallerOrLeaf
split <;> simp
case h_2 newTop _ _ _ _ _ _ h₆ =>
-- need to show that newTop = elem or newTop = oldTop (oldTop is in h₁)
sorry
else by
unfold BalancedTree.heapInsert
simp[h₃]
sorry
/--Helper function for BalancedTree.indexOf.-/
def BalancedTree.indexOfAux {α : Type u} [BEq α] (elem : α) (heap : BalancedTree α 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 BalancedTree.indexOf {α : Type u} [BEq α] (elem : α) (heap : BalancedTree α 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 BalancedTree.popLast {α : Type u} (heap : BalancedTree α (o+1)) : (α × BalancedTree α o) :=
match o, heap with
| (n+m), .branch a (left : BalancedTree α n) (right : BalancedTree α m) m_le_n max_height_difference subtree_complete =>
if p : 0 = (n+m) then
(a, p▸BalancedTree.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 : BalancedTree α 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▸BalancedTree.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 : BalancedTree α 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<n) rightIsFull] at r
cases r with
| inl h₁ => 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, BalancedTree.branch a left newRight s still_in_range (Or.inl leftIsFull))
/--Removes the element at a given index. Use `BalancedTree.indexOf` to find the respective index.-/
def BalancedTree.heapRemoveAt {α : Type u} (lt : α → α → Bool) {o : Nat} (index : Fin (o+1)) (heap : BalancedTree α (o+1)) : BalancedTree α o :=
-- first remove the last element and remember its value
sorry
-------------------------------------------------------------------------------------------------------
private def TestHeap :=
let ins : {n: Nat} → Nat → BalancedTree Nat n → BalancedTree Nat (n+1) := λ x y ↦ BalancedTree.heapInsert (.<.) x y
ins 5 BalancedTree.empty
|> 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
|