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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+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)
private theorem eq_power_of_two_power_of_two (n : Nat) : (n.nextPowerOfTwo = n) → n.isPowerOfTwo := by
have h₂ := Nat.isPowerOfTwo_nextPowerOfTwo n
intro h₁
revert h₂
rewrite[h₁]
intro
assumption
private theorem power_of_two_go_eq_eq (n : Nat) (p : n >0) : Nat.nextPowerOfTwo.go n n p = n := by
unfold Nat.nextPowerOfTwo.go
simp_arith
private theorem smaller_smaller_exp {n m : Nat} (p : 2 ^ n < 2 ^ m) : n < m :=
if h₁ : m ≤ n then
by have h₂ := Nat.pow_le_pow_of_le_right (by decide : 2 > 0) h₁
have h₃ := Nat.lt_of_le_of_lt h₂ p
simp_arith at h₃
else
by rewrite[Nat.not_ge_eq] at h₁
trivial
private theorem mul2_isPowerOfTwo_smaller_smaller_equal (n : Nat) (power : Nat) (h₁ : n.isPowerOfTwo) (h₂ : power.isPowerOfTwo) (h₃ : power < n) : power * 2 ≤ n := by
unfold Nat.isPowerOfTwo at h₁ h₂
have ⟨k, h₄⟩ := h₁
have ⟨l, h₅⟩ := h₂
rewrite [h₅]
rewrite[←Nat.pow_succ 2 l]
rewrite[h₄]
have h₆ : 2 > 0 := by decide
apply (Nat.pow_le_pow_of_le_right h₆)
rewrite [h₅] at h₃
rewrite [h₄] at h₃
have h₃ := smaller_smaller_exp h₃
simp_arith at h₃
assumption
private theorem power_of_two_go_one_eq (n : Nat) (power : Nat) (h₁ : n.isPowerOfTwo) (h₂ : power.isPowerOfTwo) (h₃ : power ≤ n) : Nat.nextPowerOfTwo.go n power (Nat.pos_of_isPowerOfTwo h₂) = n := by
unfold Nat.nextPowerOfTwo.go
split
case inl h₄ => exact power_of_two_go_one_eq n (power*2) (h₁) (Nat.mul2_isPowerOfTwo_of_isPowerOfTwo h₂) (mul2_isPowerOfTwo_smaller_smaller_equal n power h₁ h₂ h₄)
case inr h₄ => rewrite[Nat.not_lt_eq power n] at h₄
exact Nat.le_antisymm h₃ h₄
termination_by power_of_two_go_one_eq _ p _ _ _ => n - p
decreasing_by
simp_wf
have := Nat.pos_of_isPowerOfTwo h₂
apply Nat.nextPowerOfTwo_dec <;> assumption
private theorem power_of_two_eq_power_of_two (n : Nat) : n.isPowerOfTwo → (n.nextPowerOfTwo = n) := by
intro h₁
unfold Nat.nextPowerOfTwo
apply power_of_two_go_one_eq
case h₁ => assumption
case h₂ => exact Nat.one_isPowerOfTwo
case h₃ => exact (Nat.pos_of_isPowerOfTwo h₁)
private theorem power_of_two_iff_next_power_eq (n : Nat) : n.isPowerOfTwo ↔ (n.nextPowerOfTwo = n) :=
Iff.intro (power_of_two_eq_power_of_two n) (eq_power_of_two_power_of_two n)
/--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[Nat.one_isPowerOfTwo])
| (n+m+1), .branch a left right p 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]
let result := branch a left (right.insert elem) (q) (by simp[(eq_power_of_two_power_of_two (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[←power_of_two_iff_next_power_eq] at h₁
cases subtree_complete
case inl => contradiction
case inr => trivial
let result := branch a (left.insert elem) right q (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 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[←power_of_two_iff_next_power_eq] at r
assumption
(res, q▸BinaryHeap.branch a newLeft right s (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 at h₁
rewrite[←power_of_two_iff_next_power_eq] at h₁
subst m
cases subtree_complete
case inl => assumption
case inr => contradiction
(res, BinaryHeap.branch a left newRight s (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
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