inductive Batteries.PairingHeapImp.Heap (α : Type u) : Type u

A Heap is the nodes of the pairing heap. Each node have two pointers: child going to the first child of this node, and sibling goes to the next sibling of this tree. So it actually encodes a forest where each node has children node.child, node.child.sibling, node.child.sibling.sibling, etc.

Each edge in this forest denotes a le a b relation that has been checked, so the root is smaller than everything else under it.

• nil {α : Type u} : Heap α

  An empty forest, which has depth 0.

• node {α : Type u} (a : α) (child sibling : Heap α) : Heap α

  A forest consists of a root a, a forest child elements greater than a, and another forest sibling.

@[implicit_reducible]

instance Batteries.PairingHeapImp.instReprHeap {α✝ : Type u_1} [Repr α✝] : Repr (Heap α✝)

def Batteries.PairingHeapImp.instReprHeap.repr {α✝ : Type u_1} [Repr α✝] : Heap α✝ → Nat → Std.Format

def Batteries.PairingHeapImp.Heap.size {α : Type u_1} : Heap α → Nat

O(n). The number of elements in the heap.

def Batteries.PairingHeapImp.Heap.singleton {α : Type u_1} (a : α) : Heap α

A node containing a single element a.

def Batteries.PairingHeapImp.Heap.isEmpty {α : Type u_1} : Heap α → Bool

O(1). Is the heap empty?

@[specialize #[]]

def Batteries.PairingHeapImp.Heap.merge {α : Type u_1} (le : α → α → Bool) : Heap α → Heap α → Heap α

O(1). Merge two heaps. Ignore siblings.

@[specialize #[]]

def Batteries.PairingHeapImp.Heap.combine {α : Type u_1} (le : α → α → Bool) : Heap α → Heap α

Auxiliary for Heap.deleteMin: merge the forest in pairs.

@[inline]

def Batteries.PairingHeapImp.Heap.headD {α : Type u_1} (a : α) : Heap α → α

O(1). Get the smallest element in the heap, including the passed in value a.

@[inline]

def Batteries.PairingHeapImp.Heap.head? {α : Type u_1} : Heap α → Option α

O(1). Get the smallest element in the heap, if it has an element.

@[inline]

def Batteries.PairingHeapImp.Heap.deleteMin {α : Type u_1} (le : α → α → Bool) : Heap α → Option (α × Heap α)

Amortized O(log n). Find and remove the the minimum element from the heap.

@[inline]

def Batteries.PairingHeapImp.Heap.tail? {α : Type u_1} (le : α → α → Bool) (h : Heap α) : Option (Heap α)

Amortized O(log n). Get the tail of the pairing heap after removing the minimum element.

@[inline]

def Batteries.PairingHeapImp.Heap.tail {α : Type u_1} (le : α → α → Bool) (h : Heap α) : Heap α

Amortized O(log n). Remove the minimum element of the heap.

inductive Batteries.PairingHeapImp.Heap.NoSibling {α : Type u_1} : Heap α → Prop

A predicate says there is no more than one tree.

• nil {α : Type u_1} : Heap.nil.NoSibling

  An empty heap is no more than one tree.

• node {α : Type u_1} (a : α) (c : Heap α) : (Heap.node a c Heap.nil).NoSibling

  Or there is exactly one tree.

@[implicit_reducible]

instance Batteries.PairingHeapImp.instDecidableNoSibling {α✝ : Type u_1} {s : Heap α✝} : Decidable s.NoSibling

theorem Batteries.PairingHeapImp.Heap.noSibling_merge {α : Type u_1} (le : α → α → Bool) (s₁ s₂ : Heap α) : (merge le s₁ s₂).NoSibling

theorem Batteries.PairingHeapImp.Heap.noSibling_combine {α : Type u_1} (le : α → α → Bool) (s : Heap α) : (combine le s).NoSibling

theorem Batteries.PairingHeapImp.Heap.noSibling_deleteMin {α : Type u_1} {le : α → α → Bool} {a : α} {s' s : Heap α} (eq : deleteMin le s = some (a, s')) : s'.NoSibling

theorem Batteries.PairingHeapImp.Heap.noSibling_tail? {α : Type u_1} {le : α → α → Bool} {s' s : Heap α} : tail? le s = some s' → s'.NoSibling

theorem Batteries.PairingHeapImp.Heap.noSibling_tail {α : Type u_1} (le : α → α → Bool) (s : Heap α) : (tail le s).NoSibling

theorem Batteries.PairingHeapImp.Heap.size_merge_node {α : Type u_1} (le : α → α → Bool) (a₁ : α) (c₁ s₁ : Heap α) (a₂ : α) (c₂ s₂ : Heap α) : (merge le (node a₁ c₁ s₁) (node a₂ c₂ s₂)).size = c₁.size + c₂.size + 2

theorem Batteries.PairingHeapImp.Heap.size_merge {α : Type u_1} (le : α → α → Bool) {s₁ s₂ : Heap α} (h₁ : s₁.NoSibling) (h₂ : s₂.NoSibling) : (merge le s₁ s₂).size = s₁.size + s₂.size

@[irreducible]

theorem Batteries.PairingHeapImp.Heap.size_combine {α : Type u_1} (le : α → α → Bool) (s : Heap α) : (combine le s).size = s.size

theorem Batteries.PairingHeapImp.Heap.size_deleteMin {α : Type u_1} {le : α → α → Bool} {a : α} {s' s : Heap α} (h : s.NoSibling) (eq : deleteMin le s = some (a, s')) : s.size = s'.size + 1

theorem Batteries.PairingHeapImp.Heap.size_tail? {α : Type u_1} {le : α → α → Bool} {s' s : Heap α} (h : s.NoSibling) : tail? le s = some s' → s.size = s'.size + 1

theorem Batteries.PairingHeapImp.Heap.size_tail {α : Type u_1} (le : α → α → Bool) {s : Heap α} (h : s.NoSibling) : (tail le s).size = s.size - 1

theorem Batteries.PairingHeapImp.Heap.size_deleteMin_lt {α : Type u_1} {le : α → α → Bool} {a : α} {s' s : Heap α} (eq : deleteMin le s = some (a, s')) : s'.size < s.size

theorem Batteries.PairingHeapImp.Heap.size_tail?_lt {α : Type u_1} {le : α → α → Bool} {s' s : Heap α} : tail? le s = some s' → s'.size < s.size

@[irreducible, specialize #[]]

def Batteries.PairingHeapImp.Heap.foldM {m : Type u_1 → Type u_2} {α : Type u_3} {β : Type u_1} [Monad m] (le : α → α → Bool) (s : Heap α) (init : β) (f : β → α → m β) : m β

O(n log n). Monadic fold over the elements of a heap in increasing order, by repeatedly pulling the minimum element out of the heap.

@[inline]

def Batteries.PairingHeapImp.Heap.fold {α : Type u_1} {β : Type u_2} (le : α → α → Bool) (s : Heap α) (init : β) (f : β → α → β) : β

O(n log n). Fold over the elements of a heap in increasing order, by repeatedly pulling the minimum element out of the heap.

@[inline]

def Batteries.PairingHeapImp.Heap.toArray {α : Type u_1} (le : α → α → Bool) (s : Heap α) : Array α

O(n log n). Convert the heap to an array in increasing order.

@[inline]

def Batteries.PairingHeapImp.Heap.toList {α : Type u_1} (le : α → α → Bool) (s : Heap α) : List α

O(n log n). Convert the heap to a list in increasing order.

@[specialize #[]]

def Batteries.PairingHeapImp.Heap.foldTreeM {m : Type u_1 → Type u_2} {β : Type u_1} {α : Type u_3} [Monad m] (nil : β) (join : α → β → β → m β) : Heap α → m β

O(n). Fold a monadic function over the tree structure to accumulate a value.

@[inline]

def Batteries.PairingHeapImp.Heap.foldTree {β : Type u_1} {α : Type u_2} (nil : β) (join : α → β → β → β) (s : Heap α) : β

O(n). Fold a function over the tree structure to accumulate a value.

def Batteries.PairingHeapImp.Heap.toListUnordered {α : Type u_1} (s : Heap α) : List α

O(n). Convert the heap to a list in arbitrary order.

def Batteries.PairingHeapImp.Heap.toArrayUnordered {α : Type u_1} (s : Heap α) : Array α

O(n). Convert the heap to an array in arbitrary order.

def Batteries.PairingHeapImp.Heap.NodeWF {α : Type u_1} (le : α → α → Bool) (a : α) : Heap α → Prop

The well formedness predicate for a heap node. It asserts that:

• If a is added at the top to make the forest into a tree, the resulting tree is a le-min-heap (if le is well-behaved)

inductive Batteries.PairingHeapImp.Heap.WF {α : Type u_1} (le : α → α → Bool) : Heap α → Prop

The well formedness predicate for a pairing heap. It asserts that:

• There is no more than one tree.
• It is a le-min-heap (if le is well-behaved)

• nil {α : Type u_1} {le : α → α → Bool} : WF le Heap.nil

  It is an empty heap.

• node {α : Type u_1} {le : α → α → Bool} {a : α} {c : Heap α} (h : NodeWF le a c) : WF le (Heap.node a c Heap.nil)

  There is exactly one tree and it is a le-min-heap.

theorem Batteries.PairingHeapImp.Heap.WF.singleton {α✝ : Type u_1} {a : α✝} {le : α✝ → α✝ → Bool} : WF le (Heap.singleton a)

theorem Batteries.PairingHeapImp.Heap.WF.merge_node {α✝ : Type u_1} {le : α✝ → α✝ → Bool} {a₁ : α✝} {c₁ : Heap α✝} {a₂ : α✝} {c₂ s₁ s₂ : Heap α✝} (h₁ : NodeWF le a₁ c₁) (h₂ : NodeWF le a₂ c₂) : WF le (Heap.merge le (Heap.node a₁ c₁ s₁) (Heap.node a₂ c₂ s₂))

theorem Batteries.PairingHeapImp.Heap.WF.merge {α✝ : Type u_1} {le : α✝ → α✝ → Bool} {s₁ s₂ : Heap α✝} (h₁ : WF le s₁) (h₂ : WF le s₂) : WF le (Heap.merge le s₁ s₂)

theorem Batteries.PairingHeapImp.Heap.WF.combine {α✝ : Type u_1} {le : α✝ → α✝ → Bool} {s : Heap α✝} {a : α✝} (h : NodeWF le a s) : WF le (Heap.combine le s)

theorem Batteries.PairingHeapImp.Heap.WF.deleteMin {α : Type u_1} {le : α → α → Bool} {a : α} {s' s : Heap α} (h : WF le s) (eq : Heap.deleteMin le s = some (a, s')) : WF le s'

theorem Batteries.PairingHeapImp.Heap.WF.tail? {α : Type u_1} {s : Heap α} {le : α → α → Bool} {tl : Heap α} (hwf : WF le s) : Heap.tail? le s = some tl → WF le tl

theorem Batteries.PairingHeapImp.Heap.WF.tail {α : Type u_1} {s : Heap α} {le : α → α → Bool} (hwf : WF le s) : WF le (Heap.tail le s)

theorem Batteries.PairingHeapImp.Heap.deleteMin_fst {α : Type u_1} {s : Heap α} {le : α → α → Bool} : Option.map (fun (x : α × Heap α) => x.fst) (deleteMin le s) = s.head?

def Batteries.PairingHeap (α : Type u) (le : α → α → Bool) : Type u

A pairing heap is a data structure which supports the following primary operations:

• insert : α → PairingHeap α → PairingHeap α: add an element to the heap
• deleteMin : PairingHeap α → Option (α × PairingHeap α): remove the minimum element from the heap
• merge : PairingHeap α → PairingHeap α → PairingHeap α: combine two heaps

The first two operations are known as a "priority queue", so this could be called a "mergeable priority queue". The standard choice for a priority queue is a binary heap, which supports insert and deleteMin in O(log n), but merge is O(n). With a PairingHeap, insert and merge are O(1), deleteMin is amortized O(log n).

Note that deleteMin may be O(n) in a single operation. So if you need an efficient persistent priority queue, you should use other data structures with better worst-case time.

@[inline]

def Batteries.mkPairingHeap (α : Type u) (le : α → α → Bool) : PairingHeap α le

O(1). Make a new empty pairing heap.

@[inline]

def Batteries.PairingHeap.empty {α : Type u} {le : α → α → Bool} : PairingHeap α le

O(1). Make a new empty pairing heap.

@[implicit_reducible]

instance Batteries.PairingHeap.instInhabited {α : Type u} {le : α → α → Bool} : Inhabited (PairingHeap α le)

@[inline]

def Batteries.PairingHeap.isEmpty {α : Type u} {le : α → α → Bool} (b : PairingHeap α le) : Bool

O(1). Is the heap empty?

@[inline]

def Batteries.PairingHeap.size {α : Type u} {le : α → α → Bool} (b : PairingHeap α le) : Nat

O(n). The number of elements in the heap.

@[inline]

def Batteries.PairingHeap.singleton {α : Type u} {le : α → α → Bool} (a : α) : PairingHeap α le

O(1). Make a new heap containing a.

@[inline]

def Batteries.PairingHeap.merge {α : Type u} {le : α → α → Bool} : PairingHeap α le → PairingHeap α le → PairingHeap α le

O(1). Merge the contents of two heaps.

@[inline]

def Batteries.PairingHeap.insert {α : Type u} {le : α → α → Bool} (a : α) (h : PairingHeap α le) : PairingHeap α le

O(1). Add element a to the given heap h.

def Batteries.PairingHeap.ofList {α : Type u} (le : α → α → Bool) (as : List α) : PairingHeap α le

O(n log n). Construct a heap from a list by inserting all the elements.

def Batteries.PairingHeap.ofArray {α : Type u} (le : α → α → Bool) (as : Array α) : PairingHeap α le

O(n log n). Construct a heap from a list by inserting all the elements.

@[inline]

def Batteries.PairingHeap.deleteMin {α : Type u} {le : α → α → Bool} (b : PairingHeap α le) : Option (α × PairingHeap α le)

Amortized O(log n). Remove and return the minimum element from the heap.

@[inline]

def Batteries.PairingHeap.head? {α : Type u} {le : α → α → Bool} (b : PairingHeap α le) : Option α

O(1). Returns the smallest element in the heap, or none if the heap is empty.

@[inline]

def Batteries.PairingHeap.head! {α : Type u} {le : α → α → Bool} [Inhabited α] (b : PairingHeap α le) : α

O(1). Returns the smallest element in the heap, or panics if the heap is empty.

@[inline]

def Batteries.PairingHeap.headI {α : Type u} {le : α → α → Bool} [Inhabited α] (b : PairingHeap α le) : α

O(1). Returns the smallest element in the heap, or default if the heap is empty.

@[inline]

def Batteries.PairingHeap.tail? {α : Type u} {le : α → α → Bool} (b : PairingHeap α le) : Option (PairingHeap α le)

Amortized O(log n). Removes the smallest element from the heap, or none if the heap is empty.

@[inline]

def Batteries.PairingHeap.tail {α : Type u} {le : α → α → Bool} (b : PairingHeap α le) : PairingHeap α le

Amortized O(log n). Removes the smallest element from the heap, if possible.

@[inline]

def Batteries.PairingHeap.toList {α : Type u} {le : α → α → Bool} (b : PairingHeap α le) : List α

O(n log n). Convert the heap to a list in increasing order.

@[inline]

def Batteries.PairingHeap.toArray {α : Type u} {le : α → α → Bool} (b : PairingHeap α le) : Array α

O(n log n). Convert the heap to an array in increasing order.

@[inline]

def Batteries.PairingHeap.toListUnordered {α : Type u} {le : α → α → Bool} (b : PairingHeap α le) : List α

O(n). Convert the heap to a list in arbitrary order.

@[inline]

def Batteries.PairingHeap.toArrayUnordered {α : Type u} {le : α → α → Bool} (b : PairingHeap α le) : Array α

O(n). Convert the heap to an array in arbitrary order.