3013. Divide an Array Into Subarrays With Minimum Cost II
Description
You are given a 0-indexed array of integers nums of length n, and two positive integers k and dist.
The cost of an array is the value of its first element. For example, the cost of [1,2,3] is 1 while the cost of [3,4,1] is 3.
You need to divide nums into k disjoint contiguous subarrays, such that the difference between the starting index of the second subarray and the starting index of the kth subarray should be less than or equal to dist. In other words, if you divide nums into the subarrays nums[0..(i1 - 1)], nums[i1..(i2 - 1)], ..., nums[ik-1..(n - 1)], then ik-1 - i1 <= dist.
Return the minimum possible sum of the cost of these subarrays.
Example 1:
Input: nums = [1,3,2,6,4,2], k = 3, dist = 3 Output: 5 Explanation: The best possible way to divide nums into 3 subarrays is: [1,3], [2,6,4], and [2]. This choice is valid because ik-1 - i1 is 5 - 2 = 3 which is equal to dist. The total cost is nums[0] + nums[2] + nums[5] which is 1 + 2 + 2 = 5. It can be shown that there is no possible way to divide nums into 3 subarrays at a cost lower than 5.
Example 2:
Input: nums = [10,1,2,2,2,1], k = 4, dist = 3 Output: 15 Explanation: The best possible way to divide nums into 4 subarrays is: [10], [1], [2], and [2,2,1]. This choice is valid because ik-1 - i1 is 3 - 1 = 2 which is less than dist. The total cost is nums[0] + nums[1] + nums[2] + nums[3] which is 10 + 1 + 2 + 2 = 15. The division [10], [1], [2,2,2], and [1] is not valid, because the difference between ik-1 and i1 is 5 - 1 = 4, which is greater than dist. It can be shown that there is no possible way to divide nums into 4 subarrays at a cost lower than 15.
Example 3:
Input: nums = [10,8,18,9], k = 3, dist = 1 Output: 36 Explanation: The best possible way to divide nums into 4 subarrays is: [10], [8], and [18,9]. This choice is valid because ik-1 - i1 is 2 - 1 = 1 which is equal to dist.The total cost is nums[0] + nums[1] + nums[2] which is 10 + 8 + 18 = 36. The division [10], [8,18], and [9] is not valid, because the difference between ik-1 and i1 is 3 - 1 = 2, which is greater than dist. It can be shown that there is no possible way to divide nums into 3 subarrays at a cost lower than 36.
Constraints:
3 <= n <= 1051 <= nums[i] <= 1093 <= k <= nk - 2 <= dist <= n - 2
Solutions
Solution 1: Ordered Set
The problem requires us to divide the array $\textit{nums}$ into $k$ consecutive and non-overlapping subarrays, and the distance between the first element of the second subarray and the first element of the $k$-th subarray should not exceed $\textit{dist}$. This is equivalent to finding a subarray of size $\textit{dist}+1$ starting from the element at index $1$ in $\textit{nums}$, and calculating the sum of the smallest $k-1$ elements in it. We subtract $1$ from $k$, so we only need to find the sum of the smallest $k$ elements and add $\textit{nums}[0]$ to it.
We can use two ordered sets $\textit{l}$ and $\textit{r}$ to maintain the elements of the window of size $\textit{dist} + 1$. The set $\textit{l}$ maintains the smallest $k$ elements, while the set $\textit{r}$ maintains the remaining elements of the window. We maintain a variable $\textit{s}$ to represent the sum of $\textit{nums}[0]$ and the elements in $\textit{l}$. Initially, we add the sum of the first $\textit{dist}+2$ elements to $\textit{s}$ and add all elements with indices $[1, \textit{dist} + 1]$ to $\textit{l}$. If the size of $\textit{l}$ is greater than $k$, we repeatedly move the largest element from $\textit{l}$ to $\textit{r}$ until the size of $\textit{l}$ equals $k$, updating the value of $\textit{s}$ in the process.
At this point, the initial answer is $\textit{ans} = \textit{s}$.
Next, we traverse $\textit{nums}$ starting from $\textit{dist}+2$. For each element $\textit{nums}[i]$, we need to remove $\textit{nums}[i-\textit{dist}-1]$ from either $\textit{l}$ or $\textit{r}$, and then add $\textit{nums}[i]$ to either $\textit{l}$ or $\textit{r}$. If $\textit{nums}[i]$ is less than the largest element in $\textit{l}$, we add $\textit{nums}[i]$ to $\textit{l}$; otherwise, we add it to $\textit{r}$. If the size of $\textit{l}$ is less than $k$, we move the smallest element from $\textit{r}$ to $\textit{l}$ until the size of $\textit{l}$ equals $k$. If the size of $\textit{l}$ is greater than $k$, we move the largest element from $\textit{l}$ to $\textit{r}$ until the size of $\textit{l}$ equals $k$. During this process, we update the value of $\textit{s}$ and update $\textit{ans} = \min(\textit{ans}, \textit{s})$.
The final answer is $\textit{ans}$.
The time complexity is $O(n \times \log \textit{dist})$, and the space complexity is $O(\textit{dist})$. Here, $n$ is the length of the array $\textit{nums}$.
Python3
class Solution:
def minimumCost(self, nums: List[int], k: int, dist: int) -> int:
def l2r():
nonlocal s
x = l.pop()
s -= x
r.add(x)
def r2l():
nonlocal s
x = r.pop(0)
l.add(x)
s += x
k -= 1
s = sum(nums[: dist + 2])
l = SortedList(nums[1 : dist + 2])
r = SortedList()
while len(l) > k:
l2r()
ans = s
for i in range(dist + 2, len(nums)):
x = nums[i - dist - 1]
if x in l:
l.remove(x)
s -= x
else:
r.remove(x)
y = nums[i]
if y < l[-1]:
l.add(y)
s += y
else:
r.add(y)
while len(l) < k:
r2l()
while len(l) > k:
l2r()
ans = min(ans, s)
return ans
Java
class Solution {
private final TreeMap<Integer, Integer> l = new TreeMap<>();
private final TreeMap<Integer, Integer> r = new TreeMap<>();
private long s;
private int size;
public long minimumCost(int[] nums, int k, int dist) {
--k;
s = nums[0];
for (int i = 1; i < dist + 2; ++i) {
s += nums[i];
l.merge(nums[i], 1, Integer::sum);
}
size = dist + 1;
while (size > k) {
l2r();
}
long ans = s;
for (int i = dist + 2; i < nums.length; ++i) {
int x = nums[i - dist - 1];
if (l.containsKey(x)) {
if (l.merge(x, -1, Integer::sum) == 0) {
l.remove(x);
}
s -= x;
--size;
} else if (r.merge(x, -1, Integer::sum) == 0) {
r.remove(x);
}
int y = nums[i];
if (y < l.lastKey()) {
l.merge(y, 1, Integer::sum);
++size;
s += y;
} else {
r.merge(y, 1, Integer::sum);
}
while (size < k) {
r2l();
}
while (size > k) {
l2r();
}
ans = Math.min(ans, s);
}
return ans;
}
private void l2r() {
int x = l.lastKey();
s -= x;
if (l.merge(x, -1, Integer::sum) == 0) {
l.remove(x);
}
--size;
r.merge(x, 1, Integer::sum);
}
private void r2l() {
int x = r.firstKey();
if (r.merge(x, -1, Integer::sum) == 0) {
r.remove(x);
}
l.merge(x, 1, Integer::sum);
s += x;
++size;
}
}
C++
class Solution {
public:
long long minimumCost(vector<int>& nums, int k, int dist) {
--k;
multiset<int> l(nums.begin() + 1, nums.begin() + dist + 2), r;
long long s = accumulate(nums.begin(), nums.begin() + dist + 2, 0LL);
while (l.size() > k) {
int x = *l.rbegin();
l.erase(l.find(x));
s -= x;
r.insert(x);
}
long long ans = s;
for (int i = dist + 2; i < nums.size(); ++i) {
int x = nums[i - dist - 1];
auto it = l.find(x);
if (it != l.end()) {
l.erase(it);
s -= x;
} else {
r.erase(r.find(x));
}
int y = nums[i];
if (y < *l.rbegin()) {
l.insert(y);
s += y;
} else {
r.insert(y);
}
while (l.size() == k - 1) {
int x = *r.begin();
r.erase(r.find(x));
l.insert(x);
s += x;
}
while (l.size() == k + 1) {
int x = *l.rbegin();
l.erase(l.find(x));
s -= x;
r.insert(x);
}
ans = min(ans, s);
}
return ans;
}
};
Go
func minimumCost(nums []int, k int, dist int) int64 {
k--
l := redblacktree.New[int, int]()
r := redblacktree.New[int, int]()
merge := func(st *redblacktree.Tree[int, int], x, v int) {
c, _ := st.Get(x)
if c+v == 0 {
st.Remove(x)
} else {
st.Put(x, c+v)
}
}
s := nums[0]
for _, x := range nums[1 : dist+2] {
s += x
merge(l, x, 1)
}
size := dist + 1
l2r := func() {
x := l.Right().Key
merge(l, x, -1)
s -= x
size--
merge(r, x, 1)
}
r2l := func() {
x := r.Left().Key
merge(r, x, -1)
merge(l, x, 1)
s += x
size++
}
for size > k {
l2r()
}
ans := s
for i := dist + 2; i < len(nums); i++ {
x := nums[i-dist-1]
if _, ok := l.Get(x); ok {
merge(l, x, -1)
s -= x
size--
} else {
merge(r, x, -1)
}
y := nums[i]
if y < l.Right().Key {
merge(l, y, 1)
s += y
size++
} else {
merge(r, y, 1)
}
for size < k {
r2l()
}
for size > k {
l2r()
}
ans = min(ans, s)
}
return int64(ans)
}
TypeScript
function minimumCost(nums: number[], k: number, dist: number): number {
--k;
const l = new TreapMultiSet<number>((a, b) => a - b);
const r = new TreapMultiSet<number>((a, b) => a - b);
let s = nums[0];
for (let i = 1; i < dist + 2; ++i) {
s += nums[i];
l.add(nums[i]);
}
const l2r = () => {
const x = l.pop()!;
s -= x;
r.add(x);
};
const r2l = () => {
const x = r.shift()!;
l.add(x);
s += x;
};
while (l.size > k) {
l2r();
}
let ans = s;
for (let i = dist + 2; i < nums.length; ++i) {
const x = nums[i - dist - 1];
if (l.has(x)) {
l.delete(x);
s -= x;
} else {
r.delete(x);
}
const y = nums[i];
if (y < l.last()!) {
l.add(y);
s += y;
} else {
r.add(y);
}
while (l.size < k) {
r2l();
}
while (l.size > k) {
l2r();
}
ans = Math.min(ans, s);
}
return ans;
}
type CompareFunction<T, R extends 'number' | 'boolean'> = (
a: T,
b: T,
) => R extends 'number' ? number : boolean;
interface ITreapMultiSet<T> extends Iterable<T> {
add: (...value: T[]) => this;
has: (value: T) => boolean;
delete: (value: T) => void;
bisectLeft: (value: T) => number;
bisectRight: (value: T) => number;
indexOf: (value: T) => number;
lastIndexOf: (value: T) => number;
at: (index: number) => T | undefined;
first: () => T | undefined;
last: () => T | undefined;
lower: (value: T) => T | undefined;
higher: (value: T) => T | undefined;
floor: (value: T) => T | undefined;
ceil: (value: T) => T | undefined;
shift: () => T | undefined;
pop: (index?: number) => T | undefined;
count: (value: T) => number;
keys: () => IterableIterator<T>;
values: () => IterableIterator<T>;
rvalues: () => IterableIterator<T>;
entries: () => IterableIterator<[number, T]>;
readonly size: number;
}
class TreapNode<T = number> {
value: T;
count: number;
size: number;
priority: number;
left: TreapNode<T> | null;
right: TreapNode<T> | null;
constructor(value: T) {
this.value = value;
this.count = 1;
this.size = 1;
this.priority = Math.random();
this.left = null;
this.right = null;
}
static getSize(node: TreapNode<any> | null): number {
return node?.size ?? 0;
}
static getFac(node: TreapNode<any> | null): number {
return node?.priority ?? 0;
}
pushUp(): void {
let tmp = this.count;
tmp += TreapNode.getSize(this.left);
tmp += TreapNode.getSize(this.right);
this.size = tmp;
}
rotateRight(): TreapNode<T> {
// eslint-disable-next-line @typescript-eslint/no-this-alias
let node: TreapNode<T> = this;
const left = node.left;
node.left = left?.right ?? null;
left && (left.right = node);
left && (node = left);
node.right?.pushUp();
node.pushUp();
return node;
}
rotateLeft(): TreapNode<T> {
// eslint-disable-next-line @typescript-eslint/no-this-alias
let node: TreapNode<T> = this;
const right = node.right;
node.right = right?.left ?? null;
right && (right.left = node);
right && (node = right);
node.left?.pushUp();
node.pushUp();
return node;
}
}
class TreapMultiSet<T = number> implements ITreapMultiSet<T> {
private readonly root: TreapNode<T>;
private readonly compareFn: CompareFunction<T, 'number'>;
private readonly leftBound: T;
private readonly rightBound: T;
constructor(compareFn?: CompareFunction<T, 'number'>);
constructor(compareFn: CompareFunction<T, 'number'>, leftBound: T, rightBound: T);
constructor(
compareFn: CompareFunction<T, any> = (a: any, b: any) => a - b,
leftBound: any = -Infinity,
rightBound: any = Infinity,
) {
this.root = new TreapNode<T>(rightBound);
this.root.priority = Infinity;
this.root.left = new TreapNode<T>(leftBound);
this.root.left.priority = -Infinity;
this.root.pushUp();
this.leftBound = leftBound;
this.rightBound = rightBound;
this.compareFn = compareFn;
}
get size(): number {
return this.root.size - 2;
}
get height(): number {
const getHeight = (node: TreapNode<T> | null): number => {
if (node == null) return 0;
return 1 + Math.max(getHeight(node.left), getHeight(node.right));
};
return getHeight(this.root);
}
/**
*
* @complexity `O(logn)`
* @description Returns true if value is a member.
*/
has(value: T): boolean {
const compare = this.compareFn;
const dfs = (node: TreapNode<T> | null, value: T): boolean => {
if (node == null) return false;
if (compare(node.value, value) === 0) return true;
if (compare(node.value, value) < 0) return dfs(node.right, value);
return dfs(node.left, value);
};
return dfs(this.root, value);
}
/**
*
* @complexity `O(logn)`
* @description Add value to sorted set.
*/
add(...values: T[]): this {
const compare = this.compareFn;
const dfs = (
node: TreapNode<T> | null,
value: T,
parent: TreapNode<T>,
direction: 'left' | 'right',
): void => {
if (node == null) return;
if (compare(node.value, value) === 0) {
node.count++;
node.pushUp();
} else if (compare(node.value, value) > 0) {
if (node.left) {
dfs(node.left, value, node, 'left');
} else {
node.left = new TreapNode(value);
node.pushUp();
}
if (TreapNode.getFac(node.left) > node.priority) {
parent[direction] = node.rotateRight();
}
} else if (compare(node.value, value) < 0) {
if (node.right) {
dfs(node.right, value, node, 'right');
} else {
node.right = new TreapNode(value);
node.pushUp();
}
if (TreapNode.getFac(node.right) > node.priority) {
parent[direction] = node.rotateLeft();
}
}
parent.pushUp();
};
values.forEach(value => dfs(this.root.left, value, this.root, 'left'));
return this;
}
/**
*
* @complexity `O(logn)`
* @description Remove value from sorted set if it is a member.
* If value is not a member, do nothing.
*/
delete(value: T): void {
const compare = this.compareFn;
const dfs = (
node: TreapNode<T> | null,
value: T,
parent: TreapNode<T>,
direction: 'left' | 'right',
): void => {
if (node == null) return;
if (compare(node.value, value) === 0) {
if (node.count > 1) {
node.count--;
node?.pushUp();
} else if (node.left == null && node.right == null) {
parent[direction] = null;
} else {
// 旋到根节点
if (
node.right == null ||
TreapNode.getFac(node.left) > TreapNode.getFac(node.right)
) {
parent[direction] = node.rotateRight();
dfs(parent[direction]?.right ?? null, value, parent[direction]!, 'right');
} else {
parent[direction] = node.rotateLeft();
dfs(parent[direction]?.left ?? null, value, parent[direction]!, 'left');
}
}
} else if (compare(node.value, value) > 0) {
dfs(node.left, value, node, 'left');
} else if (compare(node.value, value) < 0) {
dfs(node.right, value, node, 'right');
}
parent?.pushUp();
};
dfs(this.root.left, value, this.root, 'left');
}
/**
*
* @complexity `O(logn)`
* @description Returns an index to insert value in the sorted set.
* If the value is already present, the insertion point will be before (to the left of) any existing values.
*/
bisectLeft(value: T): number {
const compare = this.compareFn;
const dfs = (node: TreapNode<T> | null, value: T): number => {
if (node == null) return 0;
if (compare(node.value, value) === 0) {
return TreapNode.getSize(node.left);
} else if (compare(node.value, value) > 0) {
return dfs(node.left, value);
} else if (compare(node.value, value) < 0) {
return dfs(node.right, value) + TreapNode.getSize(node.left) + node.count;
}
return 0;
};
return dfs(this.root, value) - 1;
}
/**
*
* @complexity `O(logn)`
* @description Returns an index to insert value in the sorted set.
* If the value is already present, the insertion point will be before (to the right of) any existing values.
*/
bisectRight(value: T): number {
const compare = this.compareFn;
const dfs = (node: TreapNode<T> | null, value: T): number => {
if (node == null) return 0;
if (compare(node.value, value) === 0) {
return TreapNode.getSize(node.left) + node.count;
} else if (compare(node.value, value) > 0) {
return dfs(node.left, value);
} else if (compare(node.value, value) < 0) {
return dfs(node.right, value) + TreapNode.getSize(node.left) + node.count;
}
return 0;
};
return dfs(this.root, value) - 1;
}
/**
*
* @complexity `O(logn)`
* @description Returns the index of the first occurrence of a value in the set, or -1 if it is not present.
*/
indexOf(value: T): number {
const compare = this.compareFn;
let isExist = false;
const dfs = (node: TreapNode<T> | null, value: T): number => {
if (node == null) return 0;
if (compare(node.value, value) === 0) {
isExist = true;
return TreapNode.getSize(node.left);
} else if (compare(node.value, value) > 0) {
return dfs(node.left, value);
} else if (compare(node.value, value) < 0) {
return dfs(node.right, value) + TreapNode.getSize(node.left) + node.count;
}
return 0;
};
const res = dfs(this.root, value) - 1;
return isExist ? res : -1;
}
/**
*
* @complexity `O(logn)`
* @description Returns the index of the last occurrence of a value in the set, or -1 if it is not present.
*/
lastIndexOf(value: T): number {
const compare = this.compareFn;
let isExist = false;
const dfs = (node: TreapNode<T> | null, value: T): number => {
if (node == null) return 0;
if (compare(node.value, value) === 0) {
isExist = true;
return TreapNode.getSize(node.left) + node.count - 1;
} else if (compare(node.value, value) > 0) {
return dfs(node.left, value);
} else if (compare(node.value, value) < 0) {
return dfs(node.right, value) + TreapNode.getSize(node.left) + node.count;
}
return 0;
};
const res = dfs(this.root, value) - 1;
return isExist ? res : -1;
}
/**
*
* @complexity `O(logn)`
* @description Returns the item located at the specified index.
* @param index The zero-based index of the desired code unit. A negative index will count back from the last item.
*/
at(index: number): T | undefined {
if (index < 0) index += this.size;
if (index < 0 || index >= this.size) return undefined;
const dfs = (node: TreapNode<T> | null, rank: number): T | undefined => {
if (node == null) return undefined;
if (TreapNode.getSize(node.left) >= rank) {
return dfs(node.left, rank);
} else if (TreapNode.getSize(node.left) + node.count >= rank) {
return node.value;
} else {
return dfs(node.right, rank - TreapNode.getSize(node.left) - node.count);
}
};
const res = dfs(this.root, index + 2);
return ([this.leftBound, this.rightBound] as any[]).includes(res) ? undefined : res;
}
/**
*
* @complexity `O(logn)`
* @description Find and return the element less than `val`, return `undefined` if no such element found.
*/
lower(value: T): T | undefined {
const compare = this.compareFn;
const dfs = (node: TreapNode<T> | null, value: T): T | undefined => {
if (node == null) return undefined;
if (compare(node.value, value) >= 0) return dfs(node.left, value);
const tmp = dfs(node.right, value);
if (tmp == null || compare(node.value, tmp) > 0) {
return node.value;
} else {
return tmp;
}
};
const res = dfs(this.root, value) as any;
return res === this.leftBound ? undefined : res;
}
/**
*
* @complexity `O(logn)`
* @description Find and return the element greater than `val`, return `undefined` if no such element found.
*/
higher(value: T): T | undefined {
const compare = this.compareFn;
const dfs = (node: TreapNode<T> | null, value: T): T | undefined => {
if (node == null) return undefined;
if (compare(node.value, value) <= 0) return dfs(node.right, value);
const tmp = dfs(node.left, value);
if (tmp == null || compare(node.value, tmp) < 0) {
return node.value;
} else {
return tmp;
}
};
const res = dfs(this.root, value) as any;
return res === this.rightBound ? undefined : res;
}
/**
*
* @complexity `O(logn)`
* @description Find and return the element less than or equal to `val`, return `undefined` if no such element found.
*/
floor(value: T): T | undefined {
const compare = this.compareFn;
const dfs = (node: TreapNode<T> | null, value: T): T | undefined => {
if (node == null) return undefined;
if (compare(node.value, value) === 0) return node.value;
if (compare(node.value, value) >= 0) return dfs(node.left, value);
const tmp = dfs(node.right, value);
if (tmp == null || compare(node.value, tmp) > 0) {
return node.value;
} else {
return tmp;
}
};
const res = dfs(this.root, value) as any;
return res === this.leftBound ? undefined : res;
}
/**
*
* @complexity `O(logn)`
* @description Find and return the element greater than or equal to `val`, return `undefined` if no such element found.
*/
ceil(value: T): T | undefined {
const compare = this.compareFn;
const dfs = (node: TreapNode<T> | null, value: T): T | undefined => {
if (node == null) return undefined;
if (compare(node.value, value) === 0) return node.value;
if (compare(node.value, value) <= 0) return dfs(node.right, value);
const tmp = dfs(node.left, value);
if (tmp == null || compare(node.value, tmp) < 0) {
return node.value;
} else {
return tmp;
}
};
const res = dfs(this.root, value) as any;
return res === this.rightBound ? undefined : res;
}
/**
* @complexity `O(logn)`
* @description
* Returns the last element from set.
* If the set is empty, undefined is returned.
*/
first(): T | undefined {
const iter = this.inOrder();
iter.next();
const res = iter.next().value;
return res === this.rightBound ? undefined : res;
}
/**
* @complexity `O(logn)`
* @description
* Returns the last element from set.
* If the set is empty, undefined is returned .
*/
last(): T | undefined {
const iter = this.reverseInOrder();
iter.next();
const res = iter.next().value;
return res === this.leftBound ? undefined : res;
}
/**
* @complexity `O(logn)`
* @description
* Removes the first element from an set and returns it.
* If the set is empty, undefined is returned and the set is not modified.
*/
shift(): T | undefined {
const first = this.first();
if (first === undefined) return undefined;
this.delete(first);
return first;
}
/**
* @complexity `O(logn)`
* @description
* Removes the last element from an set and returns it.
* If the set is empty, undefined is returned and the set is not modified.
*/
pop(index?: number): T | undefined {
if (index == null) {
const last = this.last();
if (last === undefined) return undefined;
this.delete(last);
return last;
}
const toDelete = this.at(index);
if (toDelete == null) return;
this.delete(toDelete);
return toDelete;
}
/**
*
* @complexity `O(logn)`
* @description
* Returns number of occurrences of value in the sorted set.
*/
count(value: T): number {
const compare = this.compareFn;
const dfs = (node: TreapNode<T> | null, value: T): number => {
if (node == null) return 0;
if (compare(node.value, value) === 0) return node.count;
if (compare(node.value, value) < 0) return dfs(node.right, value);
return dfs(node.left, value);
};
return dfs(this.root, value);
}
*[Symbol.iterator](): Generator<T, any, any> {
yield* this.values();
}
/**
* @description
* Returns an iterable of keys in the set.
*/
*keys(): Generator<T, any, any> {
yield* this.values();
}
/**
* @description
* Returns an iterable of values in the set.
*/
*values(): Generator<T, any, any> {
const iter = this.inOrder();
iter.next();
const steps = this.size;
for (let _ = 0; _ < steps; _++) {
yield iter.next().value;
}
}
/**
* @description
* Returns a generator for reversed order traversing the set.
*/
*rvalues(): Generator<T, any, any> {
const iter = this.reverseInOrder();
iter.next();
const steps = this.size;
for (let _ = 0; _ < steps; _++) {
yield iter.next().value;
}
}
/**
* @description
* Returns an iterable of key, value pairs for every entry in the set.
*/
*entries(): IterableIterator<[number, T]> {
const iter = this.inOrder();
iter.next();
const steps = this.size;
for (let i = 0; i < steps; i++) {
yield [i, iter.next().value];
}
}
private *inOrder(root: TreapNode<T> | null = this.root): Generator<T, any, any> {
if (root == null) return;
yield* this.inOrder(root.left);
const count = root.count;
for (let _ = 0; _ < count; _++) {
yield root.value;
}
yield* this.inOrder(root.right);
}
private *reverseInOrder(root: TreapNode<T> | null = this.root): Generator<T, any, any> {
if (root == null) return;
yield* this.reverseInOrder(root.right);
const count = root.count;
for (let _ = 0; _ < count; _++) {
yield root.value;
}
yield* this.reverseInOrder(root.left);
}
}