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1851. Minimum Interval to Include Each Query.ts
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1851. Minimum Interval to Include Each Query.ts
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export {}
class Heap<T=number> {
data: Array<T | null>
lt: (i: number, j: number) => boolean
constructor ()
constructor (data: T[])
constructor (cmp: (lhs: T, rhs: T) => boolean)
constructor (data: T[], cmp: (lhs: T, rhs: T) => boolean)
constructor (data: (T[] | ((lhs: T, rhs: T) => boolean)), cmp: (lhs: T, rhs: T) => boolean)
constructor (data: (T[] | ((lhs: T, rhs: T) => boolean)) = [], cmp = (lhs: T, rhs: T) => lhs < rhs) {
if (typeof data === 'function') {
cmp = data
data = []
}
this.data = [null, ...data]
this.lt = (i, j) => cmp(this.data[i]!, this.data[j]!)
for (let i = this.size(); i > 0; i--) this.heapify(i)
}
size (): number {
return this.data.length - 1
}
push (v: T): void {
this.data.push(v)
let i = this.size()
while ((i >> 1 !== 0) && this.lt(i, i >> 1)) this.swap(i, i >>= 1)
}
pop (): T {
this.swap(1, this.size())
const top = this.data.pop()
this.heapify(1)
return top!
}
top (): T { return this.data[1]! }
heapify (i: number): void {
while (true) {
let min = i
const [l, r, n] = [i * 2, i * 2 + 1, this.data.length]
if (l < n && this.lt(l, min)) min = l
if (r < n && this.lt(r, min)) min = r
if (min !== i) {
this.swap(i, min); i = min
} else break
}
}
swap (i: number, j: number): void {
const d = this.data;
[d[i], d[j]] = [d[j], d[i]]
}
}
class RBTreeNode<T=number> {
data: T
left: RBTreeNode<T> | null
right: RBTreeNode<T>| null
parent: RBTreeNode<T>| null
color: number
constructor (data: T) {
this.data = data
this.left = this.right = this.parent = null
this.color = 0
}
sibling (): RBTreeNode<T> | null {
if (!this.parent) return null // sibling null if no parent
return this.isOnLeft() ? this.parent.right : this.parent.left
}
isOnLeft (): boolean { return this === this.parent!.left }
hasRedChild (): boolean {
return Boolean(this.left && this.left.color === 0) || Boolean(this.right && this.right.color === 0)
}
}
class RBTree<T> {
root: RBTreeNode<T> | null
compare: (l: T, r: T) => boolean
constructor (compare = (l: T, r: T) => l < r) {
this.root = null
this.compare = compare
}
rotateLeft (pt: RBTreeNode<T>): void {
const right = pt.right!
pt.right = right.left
if (pt.right) pt.right.parent = pt
right.parent = pt.parent
if (!pt.parent) this.root = right
else if (pt === pt.parent.left) pt.parent.left = right
else pt.parent.right = right
right.left = pt
pt.parent = right
}
rotateRight (pt: RBTreeNode<T>): void {
const left = pt.left!
pt.left = left.right
if (pt.left) pt.left.parent = pt
left.parent = pt.parent
if (!pt.parent) this.root = left
else if (pt === pt.parent.left) pt.parent.left = left
else pt.parent.right = left
left.right = pt
pt.parent = left
}
swapColor (p1: RBTreeNode<T>, p2: RBTreeNode<T>): void {
const tmp = p1.color
p1.color = p2.color
p2.color = tmp
}
swapData (p1: RBTreeNode<T>, p2: RBTreeNode<T>): void {
const tmp = p1.data
p1.data = p2.data
p2.data = tmp
}
fixAfterInsert (pt: RBTreeNode<T>): void {
let parent = null
let grandParent = null
while (pt !== this.root && pt.color !== 1 && pt.parent?.color === 0) {
parent = pt.parent
grandParent = pt.parent.parent
/* Case : A
Parent of pt is left child of Grand-parent of pt */
if (parent === grandParent?.left) {
const uncle = grandParent.right
/* Case : 1
The uncle of pt is also red
Only Recoloring required */
if (uncle && uncle.color === 0) {
grandParent.color = 0
parent.color = 1
uncle.color = 1
pt = grandParent
} else {
/* Case : 2
pt is right child of its parent
Left-rotation required */
if (pt === parent.right) {
this.rotateLeft(parent)
pt = parent
parent = pt.parent
}
/* Case : 3
pt is left child of its parent
Right-rotation required */
this.rotateRight(grandParent)
this.swapColor(parent!, grandParent)
pt = parent!
}
}
/* Case : B
Parent of pt is right child of Grand-parent of pt */
else {
const uncle = grandParent!.left
/* Case : 1
The uncle of pt is also red
Only Recoloring required */
if ((uncle != null) && (uncle.color === 0)) {
grandParent!.color = 0
parent.color = 1
uncle.color = 1
pt = grandParent!
} else {
/* Case : 2
pt is left child of its parent
Right-rotation required */
if (pt === parent.left) {
this.rotateRight(parent)
pt = parent
parent = pt.parent
}
/* Case : 3
pt is right child of its parent
Left-rotation required */
this.rotateLeft(grandParent!)
this.swapColor(parent!, grandParent!)
pt = parent!
}
}
}
this.root!.color = 1
}
deleteByValue (val: T): boolean {
const node = this.search(val)
if (node?.data !== val) return false
this.deleteNode(node)
return true
}
// searches for given value
// if found returns the node (used for delete)
// else returns the last node while traversing (used in insert)
search (val: T): RBTreeNode<T> | null {
let p = this.root
while (p) {
if (this.compare(val, p.data)) {
if (!p.left) break
else p = p.left
} else if (this.compare(p.data, val)) {
if (!p.right) break
else p = p.right
} else break
}
return p
}
deleteNode (v: RBTreeNode<T>): void {
const u = BSTreplace(v)
// True when u and v are both black
const uvBlack = (u === null || u.color === 1) && v.color === 1
const parent = v.parent!
if (!u) {
// u is null therefore v is leaf
if (v === this.root) this.root = null // v is root, making root null
else {
if (uvBlack) {
// u and v both black
// v is leaf, fix double black at v
this.fixDoubleBlack(v)
} else {
// u or v is red
if (v.sibling())
// sibling is not null, make it red"
{ v.sibling()!.color = 0 }
}
// delete v from the tree
if (v.isOnLeft()) parent.left = null
else parent.right = null
}
return
}
if (!v.left || !v.right) {
// v has 1 child
if (v === this.root) {
// v is root, assign the value of u to v, and delete u
v.data = u.data
v.left = v.right = null
} else {
// Detach v from tree and move u up
if (v.isOnLeft()) parent.left = u
else parent.right = u
u.parent = parent
if (uvBlack) this.fixDoubleBlack(u) // u and v both black, fix double black at u
else u.color = 1 // u or v red, color u black
}
return
}
// v has 2 children, swap data with successor and recurse
this.swapData(u, v)
this.deleteNode(u)
// find node that replaces a deleted node in BST
function BSTreplace (x: RBTreeNode<T>): RBTreeNode<T> | null {
// when node have 2 children
if (x.left && x.right) return successor(x.right)
// when leaf
if (!x.left && !x.right) return null
// when single child
return x.left ?? x.right
}
// find node that do not have a left child
// in the subtree of the given node
function successor (x: RBTreeNode<T>): RBTreeNode<T> {
let temp = x
while (temp.left) temp = temp.left
return temp
}
}
fixDoubleBlack (x: RBTreeNode<T>): void {
if (x === this.root) return // Reached root
const sibling = x.sibling(); const parent = x.parent!
if (!sibling) {
// No sibiling, double black pushed up
this.fixDoubleBlack(parent)
} else {
if (sibling.color === 0) {
// Sibling red
parent.color = 0
sibling.color = 1
if (sibling.isOnLeft()) this.rotateRight(parent) // left case
else this.rotateLeft(parent) // right case
this.fixDoubleBlack(x)
} else {
// Sibling black
if (sibling.hasRedChild()) {
// at least 1 red children
if (sibling.left && sibling.left.color === 0) {
if (sibling.isOnLeft()) {
// left left
sibling.left.color = sibling.color
sibling.color = parent.color
this.rotateRight(parent)
} else {
// right left
sibling.left.color = parent.color
this.rotateRight(sibling)
this.rotateLeft(parent)
}
} else {
if (sibling.isOnLeft()) {
// left right
sibling.right!.color = parent.color
this.rotateLeft(sibling)
this.rotateRight(parent)
} else {
// right right
sibling.right!.color = sibling.color
sibling.color = parent.color
this.rotateLeft(parent)
}
}
parent.color = 1
} else {
// 2 black children
sibling.color = 0
if (parent.color === 1) this.fixDoubleBlack(parent)
else parent.color = 1
}
}
}
}
insert (data: T): boolean {
const node = new RBTreeNode(data)
const parent = this.search(data)
if (!parent) this.root = node
else if (this.compare(node.data, parent.data)) parent.left = node
else if (this.compare(parent.data, node.data)) parent.right = node
else return false
node.parent = parent
this.fixAfterInsert(node)
return true
}
find (data: T): RBTreeNode<T> | null {
const node = this.search(data)
return node && node.data === data ? node : null
}
* inOrder (root: RBTreeNode<T> = this.root!): Generator<T, void, void> {
if (!root) return
for (const v of this.inOrder(root.left!)) yield v
yield root.data
for (const v of this.inOrder(root.right!)) yield v
}
}
class TreeMultiSet<T = number> {
#size: number
tree: RBTree<T>
counts: Map<T, number>
compare: (l: T, r: T) => boolean
constructor (collection: T[] = [], compare = (l: T, r: T) => l < r) {
this.#size = 0
this.tree = new RBTree(compare)
this.counts = new Map()
this.compare = compare
for (const val of collection) this.add(val)
}
size (): number {
return this.#size
}
has (val: T): boolean {
return !!this.tree.find(val)
}
add (val: T): void {
console.log('add', val)
this.tree.insert(val)
this.increase(val)
this.#size++
}
delete (val: T): void {
console.log('delete', val)
this.decrease(val)
if (this.count(val) === 0) {
this.tree.deleteByValue(val)
}
this.#size--
}
count (val: T): number {
return this.counts.get(val) ?? 0
}
ceiling (val: T): T | undefined {
let p = this.tree.root
let higher = null
while (p) {
if (!this.compare(p.data, val)) {
higher = p
p = p.left
} else {
p = p.right
}
}
return higher?.data
}
floor (val: T): T | undefined {
let p = this.tree.root
let lower = null
while (p) {
if (!this.compare(val, p.data)) {
lower = p
p = p.right
} else {
p = p.left
}
}
return lower?.data
}
higher (val: T): T | undefined {
let p = this.tree.root
let higher = null
while (p) {
if (this.compare(val, p.data)) {
higher = p
p = p.left
} else {
p = p.right
}
}
return higher?.data
}
lower (val: T): T | undefined {
let p = this.tree.root
let lower = null
while (p) {
if (this.compare(p.data, val)) {
lower = p
p = p.right
} else {
p = p.left
}
}
return lower?.data
}
* keys (): Generator<T, void, void> {
for (const val of this.values()) yield val
}
* values (): Generator<T, void, void> {
for (const val of this.tree.inOrder()) {
let count = this.count(val)
while (count--) yield val
}
}
decrease (val: T): void {
this.counts.set(val, this.count(val) - 1)
}
increase (val: T): void {
this.counts.set(val, this.count(val) + 1)
}
}
/*
将 queries 从小到大排序,处理查询的时候将所有开始时间 <= 查询的入堆,然后将所有结束时间 < 查询的出堆,堆里面的就是满足情况的区间。因此我们也要将 intervals 按照开始时间从小到大排序;有点类似单调队列
*/
function minInterval (intervals: number[][], queries: number[]): number[] {
intervals.sort((a, b) => a[0] - b[0])
const [n, m] = [intervals.length, queries.length]
const idx = [...Array(m)].map((_, idx) => idx)
const ans = Array<number>(m).fill(-1)
idx.sort((i, j) => queries[i] - queries[j])
const heap = new Heap((i, j) => intervals[i][1] < intervals[j][1])
const set = new TreeMultiSet()
for (let i = 0, j = 0; i < m; i++) {
while (j < n && intervals[j][0] <= queries[idx[i]]) {
set.add(intervals[j][1] - intervals[j][0] + 1)
heap.push(j++)
}
while (heap.size() && intervals[heap.top()][1] < queries[idx[i]]) {
const k = heap.pop()
set.delete(intervals[k][1] - intervals[k][0] + 1)
}
if (heap.size()) {
ans[idx[i]] = Number(set.values().next().value)
}
}
return ans
};