Boundary update without `+1` / `-1`
Wrong move: Setting `lo = mid` or `hi = mid` can stall and create an infinite loop.
Usually fails on: Two-element ranges never converge.
Fix: Use `lo = mid + 1` or `hi = mid - 1` where appropriate.
Break down a hard problem into reliable checkpoints, edge-case handling, and complexity trade-offs.
A k-booking happens when k events have some non-empty intersection (i.e., there is some time that is common to all k events.)
You are given some events [startTime, endTime), after each given event, return an integer k representing the maximum k-booking between all the previous events.
Implement the MyCalendarThree class:
MyCalendarThree() Initializes the object.int book(int startTime, int endTime) Returns an integer k representing the largest integer such that there exists a k-booking in the calendar.Example 1:
Input ["MyCalendarThree", "book", "book", "book", "book", "book", "book"] [[], [10, 20], [50, 60], [10, 40], [5, 15], [5, 10], [25, 55]] Output [null, 1, 1, 2, 3, 3, 3] Explanation MyCalendarThree myCalendarThree = new MyCalendarThree(); myCalendarThree.book(10, 20); // return 1 myCalendarThree.book(50, 60); // return 1 myCalendarThree.book(10, 40); // return 2 myCalendarThree.book(5, 15); // return 3 myCalendarThree.book(5, 10); // return 3 myCalendarThree.book(25, 55); // return 3
Constraints:
0 <= startTime < endTime <= 109400 calls will be made to book.Problem summary: A k-booking happens when k events have some non-empty intersection (i.e., there is some time that is common to all k events.) You are given some events [startTime, endTime), after each given event, return an integer k representing the maximum k-booking between all the previous events. Implement the MyCalendarThree class: MyCalendarThree() Initializes the object. int book(int startTime, int endTime) Returns an integer k representing the largest integer such that there exists a k-booking in the calendar.
Start with the most direct exhaustive search. That gives a correctness anchor before optimizing.
Pattern signal: Binary Search · Design · Segment Tree
["MyCalendarThree","book","book","book","book","book","book"] [[],[10,20],[50,60],[10,40],[5,15],[5,10],[25,55]]
my-calendar-i)my-calendar-ii)count-integers-in-intervals)Source-backed implementations are provided below for direct study and interview prep.
// Accepted solution for LeetCode #732: My Calendar III
class Node {
Node left;
Node right;
int l;
int r;
int mid;
int v;
int add;
public Node(int l, int r) {
this.l = l;
this.r = r;
this.mid = (l + r) >> 1;
}
}
class SegmentTree {
private Node root = new Node(1, (int) 1e9 + 1);
public SegmentTree() {
}
public void modify(int l, int r, int v) {
modify(l, r, v, root);
}
public void modify(int l, int r, int v, Node node) {
if (l > r) {
return;
}
if (node.l >= l && node.r <= r) {
node.v += v;
node.add += v;
return;
}
pushdown(node);
if (l <= node.mid) {
modify(l, r, v, node.left);
}
if (r > node.mid) {
modify(l, r, v, node.right);
}
pushup(node);
}
public int query(int l, int r) {
return query(l, r, root);
}
public int query(int l, int r, Node node) {
if (l > r) {
return 0;
}
if (node.l >= l && node.r <= r) {
return node.v;
}
pushdown(node);
int v = 0;
if (l <= node.mid) {
v = Math.max(v, query(l, r, node.left));
}
if (r > node.mid) {
v = Math.max(v, query(l, r, node.right));
}
return v;
}
public void pushup(Node node) {
node.v = Math.max(node.left.v, node.right.v);
}
public void pushdown(Node node) {
if (node.left == null) {
node.left = new Node(node.l, node.mid);
}
if (node.right == null) {
node.right = new Node(node.mid + 1, node.r);
}
if (node.add != 0) {
Node left = node.left, right = node.right;
left.add += node.add;
right.add += node.add;
left.v += node.add;
right.v += node.add;
node.add = 0;
}
}
}
class MyCalendarThree {
private SegmentTree tree = new SegmentTree();
public MyCalendarThree() {
}
public int book(int start, int end) {
tree.modify(start + 1, end, 1);
return tree.query(1, (int) 1e9 + 1);
}
}
/**
* Your MyCalendarThree object will be instantiated and called as such:
* MyCalendarThree obj = new MyCalendarThree();
* int param_1 = obj.book(start,end);
*/
// Accepted solution for LeetCode #732: My Calendar III
type node struct {
left *node
right *node
l, mid, r int
v, add int
}
func newNode(l, r int) *node {
return &node{
l: l,
r: r,
mid: int(uint(l+r) >> 1),
}
}
type segmentTree struct {
root *node
}
func newSegmentTree() *segmentTree {
return &segmentTree{
root: newNode(1, 1e9+1),
}
}
func (t *segmentTree) modify(l, r, v int, n *node) {
if l > r {
return
}
if n.l >= l && n.r <= r {
n.v += v
n.add += v
return
}
t.pushdown(n)
if l <= n.mid {
t.modify(l, r, v, n.left)
}
if r > n.mid {
t.modify(l, r, v, n.right)
}
t.pushup(n)
}
func (t *segmentTree) query(l, r int, n *node) int {
if l > r {
return 0
}
if n.l >= l && n.r <= r {
return n.v
}
t.pushdown(n)
v := 0
if l <= n.mid {
v = max(v, t.query(l, r, n.left))
}
if r > n.mid {
v = max(v, t.query(l, r, n.right))
}
return v
}
func (t *segmentTree) pushup(n *node) {
n.v = max(n.left.v, n.right.v)
}
func (t *segmentTree) pushdown(n *node) {
if n.left == nil {
n.left = newNode(n.l, n.mid)
}
if n.right == nil {
n.right = newNode(n.mid+1, n.r)
}
if n.add != 0 {
n.left.add += n.add
n.right.add += n.add
n.left.v += n.add
n.right.v += n.add
n.add = 0
}
}
type MyCalendarThree struct {
tree *segmentTree
}
func Constructor() MyCalendarThree {
return MyCalendarThree{newSegmentTree()}
}
func (this *MyCalendarThree) Book(start int, end int) int {
this.tree.modify(start+1, end, 1, this.tree.root)
return this.tree.query(1, int(1e9)+1, this.tree.root)
}
/**
* Your MyCalendarThree object will be instantiated and called as such:
* obj := Constructor();
* param_1 := obj.Book(start,end);
*/
# Accepted solution for LeetCode #732: My Calendar III
class Node:
def __init__(self, l, r):
self.left = None
self.right = None
self.l = l
self.r = r
self.mid = (l + r) >> 1
self.v = 0
self.add = 0
class SegmentTree:
def __init__(self):
self.root = Node(1, int(1e9 + 1))
def modify(self, l: int, r: int, v: int, node: Node = None):
if l > r:
return
if node is None:
node = self.root
if node.l >= l and node.r <= r:
node.v += v
node.add += v
return
self.pushdown(node)
if l <= node.mid:
self.modify(l, r, v, node.left)
if r > node.mid:
self.modify(l, r, v, node.right)
self.pushup(node)
def query(self, l: int, r: int, node: Node = None) -> int:
if l > r:
return 0
if node is None:
node = self.root
if node.l >= l and node.r <= r:
return node.v
self.pushdown(node)
v = 0
if l <= node.mid:
v = max(v, self.query(l, r, node.left))
if r > node.mid:
v = max(v, self.query(l, r, node.right))
return v
def pushup(self, node: Node):
node.v = max(node.left.v, node.right.v)
def pushdown(self, node: Node):
if node.left is None:
node.left = Node(node.l, node.mid)
if node.right is None:
node.right = Node(node.mid + 1, node.r)
if node.add:
node.left.v += node.add
node.right.v += node.add
node.left.add += node.add
node.right.add += node.add
node.add = 0
class MyCalendarThree:
def __init__(self):
self.tree = SegmentTree()
def book(self, start: int, end: int) -> int:
self.tree.modify(start + 1, end, 1)
return self.tree.query(1, int(1e9 + 1))
# Your MyCalendarThree object will be instantiated and called as such:
# obj = MyCalendarThree()
# param_1 = obj.book(start,end)
// Accepted solution for LeetCode #732: My Calendar III
use std::collections::BTreeMap;
struct MyCalendarThree {
data: BTreeMap<i32, i32>,
}
impl MyCalendarThree {
fn new() -> Self {
let data = BTreeMap::new();
MyCalendarThree { data }
}
fn book(&mut self, start: i32, end: i32) -> i32 {
*self.data.entry(start).or_default() += 1;
*self.data.entry(end).or_default() -= 1;
let mut cur = 0;
let mut res = 0;
for v in self.data.values() {
cur += v;
res = res.max(cur);
}
res
}
}
#[test]
fn test() {
let mut obj = MyCalendarThree::new();
assert_eq!(obj.book(10, 20), 1);
assert_eq!(obj.book(50, 60), 1);
assert_eq!(obj.book(10, 40), 2);
assert_eq!(obj.book(5, 15), 3);
assert_eq!(obj.book(5, 10), 3);
assert_eq!(obj.book(25, 55), 3);
}
// Accepted solution for LeetCode #732: My Calendar III
class Node {
left: Node | null = null;
right: Node | null = null;
l: number;
r: number;
mid: number;
v: number = 0;
add: number = 0;
constructor(l: number, r: number) {
this.l = l;
this.r = r;
this.mid = (l + r) >> 1;
}
}
class SegmentTree {
private root: Node = new Node(1, 1e9 + 1);
constructor() {}
modify(l: number, r: number, v: number, node: Node = this.root): void {
if (l > r) {
return;
}
if (node.l >= l && node.r <= r) {
node.v += v;
node.add += v;
return;
}
this.pushdown(node);
if (l <= node.mid) {
this.modify(l, r, v, node.left!);
}
if (r > node.mid) {
this.modify(l, r, v, node.right!);
}
this.pushup(node);
}
query(l: number, r: number, node: Node = this.root): number {
if (l > r) {
return 0;
}
if (node.l >= l && node.r <= r) {
return node.v;
}
this.pushdown(node);
let v = 0;
if (l <= node.mid) {
v = Math.max(v, this.query(l, r, node.left!));
}
if (r > node.mid) {
v = Math.max(v, this.query(l, r, node.right!));
}
return v;
}
private pushup(node: Node): void {
node.v = Math.max(node.left!.v, node.right!.v);
}
private pushdown(node: Node): void {
if (node.left === null) {
node.left = new Node(node.l, node.mid);
}
if (node.right === null) {
node.right = new Node(node.mid + 1, node.r);
}
if (node.add !== 0) {
const left = node.left!;
const right = node.right!;
left.add += node.add;
right.add += node.add;
left.v += node.add;
right.v += node.add;
node.add = 0;
}
}
}
class MyCalendarThree {
private tree: SegmentTree;
constructor() {
this.tree = new SegmentTree();
}
book(start: number, end: number): number {
this.tree.modify(start + 1, end, 1);
return this.tree.query(1, 1e9 + 1);
}
}
/**
* Your MyCalendarThree object will be instantiated and called as such:
* var obj = new MyCalendarThree()
* var param_1 = obj.book(startTime, endTime)
*/
Use this to step through a reusable interview workflow for this problem.
Check every element from left to right until we find the target or exhaust the array. Each comparison is O(1), and we may visit all n elements, giving O(n). No extra space needed.
Each comparison eliminates half the remaining search space. After k comparisons, the space is n/2ᵏ. We stop when the space is 1, so k = log₂ n. No extra memory needed — just two pointers (lo, hi).
Review these before coding to avoid predictable interview regressions.
Wrong move: Setting `lo = mid` or `hi = mid` can stall and create an infinite loop.
Usually fails on: Two-element ranges never converge.
Fix: Use `lo = mid + 1` or `hi = mid - 1` where appropriate.