Off-by-one on range boundaries
Wrong move: Loop endpoints miss first/last candidate.
Usually fails on: Fails on minimal arrays and exact-boundary answers.
Fix: Re-derive loops from inclusive/exclusive ranges before coding.
Move from brute-force thinking to an efficient approach using array strategy.
You are implementing a program to use as your calendar. We can add a new event if adding the event will not cause a double booking.
A double booking happens when two events have some non-empty intersection (i.e., some moment is common to both events.).
The event can be represented as a pair of integers startTime and endTime that represents a booking on the half-open interval [startTime, endTime), the range of real numbers x such that startTime <= x < endTime.
Implement the MyCalendar class:
MyCalendar() Initializes the calendar object.boolean book(int startTime, int endTime) Returns true if the event can be added to the calendar successfully without causing a double booking. Otherwise, return false and do not add the event to the calendar.Example 1:
Input ["MyCalendar", "book", "book", "book"] [[], [10, 20], [15, 25], [20, 30]] Output [null, true, false, true] Explanation MyCalendar myCalendar = new MyCalendar(); myCalendar.book(10, 20); // return True myCalendar.book(15, 25); // return False, It can not be booked because time 15 is already booked by another event. myCalendar.book(20, 30); // return True, The event can be booked, as the first event takes every time less than 20, but not including 20.
Constraints:
0 <= start < end <= 1091000 calls will be made to book.Problem summary: You are implementing a program to use as your calendar. We can add a new event if adding the event will not cause a double booking. A double booking happens when two events have some non-empty intersection (i.e., some moment is common to both events.). The event can be represented as a pair of integers startTime and endTime that represents a booking on the half-open interval [startTime, endTime), the range of real numbers x such that startTime <= x < endTime. Implement the MyCalendar class: MyCalendar() Initializes the calendar object. boolean book(int startTime, int endTime) Returns true if the event can be added to the calendar successfully without causing a double booking. Otherwise, return false and do not add the event to the calendar.
Start with the most direct exhaustive search. That gives a correctness anchor before optimizing.
Pattern signal: Array · Binary Search · Design · Segment Tree
["MyCalendar","book","book","book"] [[],[10,20],[15,25],[20,30]]
my-calendar-ii)my-calendar-iii)determine-if-two-events-have-conflict)Source-backed implementations are provided below for direct study and interview prep.
// Accepted solution for LeetCode #729: My Calendar I
class MyCalendar {
private final TreeMap<Integer, Integer> tm = new TreeMap<>();
public MyCalendar() {
}
public boolean book(int startTime, int endTime) {
var e = tm.ceilingEntry(startTime + 1);
if (e != null && e.getValue() < endTime) {
return false;
}
tm.put(endTime, startTime);
return true;
}
}
/**
* Your MyCalendar object will be instantiated and called as such:
* MyCalendar obj = new MyCalendar();
* boolean param_1 = obj.book(startTime,endTime);
*/
// Accepted solution for LeetCode #729: My Calendar I
type MyCalendar struct {
rbt *redblacktree.Tree
}
func Constructor() MyCalendar {
return MyCalendar{
rbt: redblacktree.NewWithIntComparator(),
}
}
func (this *MyCalendar) Book(startTime int, endTime int) bool {
if p, ok := this.rbt.Ceiling(startTime + 1); ok && p.Value.(int) < endTime {
return false
}
this.rbt.Put(endTime, startTime)
return true
}
/**
* Your MyCalendar object will be instantiated and called as such:
* obj := Constructor();
* param_1 := obj.Book(startTime,endTime);
*/
# Accepted solution for LeetCode #729: My Calendar I
class MyCalendar:
def __init__(self):
self.sd = SortedDict()
def book(self, start: int, end: int) -> bool:
idx = self.sd.bisect_right(start)
if idx < len(self.sd) and self.sd.values()[idx] < end:
return False
self.sd[end] = start
return True
# Your MyCalendar object will be instantiated and called as such:
# obj = MyCalendar()
# param_1 = obj.book(start,end)
// Accepted solution for LeetCode #729: My Calendar I
use std::collections::BTreeMap;
struct MyCalendar {
tm: BTreeMap<i32, i32>,
}
impl MyCalendar {
fn new() -> Self {
MyCalendar {
tm: BTreeMap::new(),
}
}
fn book(&mut self, start_time: i32, end_time: i32) -> bool {
if let Some((&key, &value)) = self.tm.range(start_time + 1..).next() {
if value < end_time {
return false;
}
}
self.tm.insert(end_time, start_time);
true
}
}
// Accepted solution for LeetCode #729: My Calendar I
class MyCalendar {
tm: TreeMap<number, number>;
constructor() {
this.tm = new TreeMap<number, number>();
}
book(startTime: number, endTime: number): boolean {
const e = this.tm.higher(startTime);
if (e && e[1] < endTime) {
return false;
}
this.tm.set(endTime, startTime);
return true;
}
}
type Compare<T> = (lhs: T, rhs: T) => number;
class RBTreeNode<T = number> {
data: T;
count: number;
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;
this.count = 1;
}
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;
lt: (l: T, r: T) => boolean;
constructor(compare: Compare<T> = (l: T, r: T) => (l < r ? -1 : l > r ? 1 : 0)) {
this.root = null;
this.lt = (l: T, r: T) => compare(l, r) < 0;
}
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!;
}
} else {
/* Case : B
Parent of pt is right child of Grand-parent of pt */
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;
}
delete(val: T): boolean {
const node = this.find(val);
if (!node) return false;
node.count--;
if (!node.count) this.deleteNode(node);
return true;
}
deleteAll(val: T): boolean {
const node = this.find(val);
if (!node) return false;
this.deleteNode(node);
return true;
}
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 {
// search for a position to insert
let parent = this.root;
while (parent) {
if (this.lt(data, parent.data)) {
if (!parent.left) break;
else parent = parent.left;
} else if (this.lt(parent.data, data)) {
if (!parent.right) break;
else parent = parent.right;
} else break;
}
// insert node into parent
const node = new RBTreeNode(data);
if (!parent) this.root = node;
else if (this.lt(node.data, parent.data)) parent.left = node;
else if (this.lt(parent.data, node.data)) parent.right = node;
else {
parent.count++;
return false;
}
node.parent = parent;
this.fixAfterInsert(node);
return true;
}
search(predicate: (val: T) => boolean, direction: 'left' | 'right'): T | undefined {
let p = this.root;
let result = null;
while (p) {
if (predicate(p.data)) {
result = p;
p = p[direction];
} else {
p = p[direction === 'left' ? 'right' : 'left'];
}
}
return result?.data;
}
find(data: T): RBTreeNode<T> | null {
let p = this.root;
while (p) {
if (this.lt(data, p.data)) {
p = p.left;
} else if (this.lt(p.data, data)) {
p = p.right;
} else break;
}
return p ?? null;
}
count(data: T): number {
const node = this.find(data);
return node ? node.count : 0;
}
*inOrder(root: RBTreeNode<T> = this.root!): Generator<T, undefined, 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;
}
*reverseInOrder(root: RBTreeNode<T> = this.root!): Generator<T, undefined, void> {
if (!root) return;
for (const v of this.reverseInOrder(root.right!)) yield v;
yield root.data;
for (const v of this.reverseInOrder(root.left!)) yield v;
}
}
class TreeMap<K = number, V = unknown> {
_size: number;
tree: RBTree<K>;
map: Map<K, V> = new Map();
compare: Compare<K>;
constructor(
collection: Array<[K, V]> | Compare<K> = [],
compare: Compare<K> = (l: K, r: K) => (l < r ? -1 : l > r ? 1 : 0),
) {
if (typeof collection === 'function') {
compare = collection;
collection = [];
}
this._size = 0;
this.compare = compare;
this.tree = new RBTree(compare);
for (const [key, val] of collection) this.set(key, val);
}
size(): number {
return this._size;
}
has(key: K): boolean {
return !!this.tree.find(key);
}
get(key: K): V | undefined {
return this.map.get(key);
}
set(key: K, val: V): boolean {
const successful = this.tree.insert(key);
this._size += successful ? 1 : 0;
this.map.set(key, val);
return successful;
}
delete(key: K): boolean {
const deleted = this.tree.deleteAll(key);
this._size -= deleted ? 1 : 0;
return deleted;
}
ceil(target: K): [K, V] | undefined {
return this.toKeyValue(this.tree.search(key => this.compare(key, target) >= 0, 'left'));
}
floor(target: K): [K, V] | undefined {
return this.toKeyValue(this.tree.search(key => this.compare(key, target) <= 0, 'right'));
}
higher(target: K): [K, V] | undefined {
return this.toKeyValue(this.tree.search(key => this.compare(key, target) > 0, 'left'));
}
lower(target: K): [K, V] | undefined {
return this.toKeyValue(this.tree.search(key => this.compare(key, target) < 0, 'right'));
}
first(): [K, V] | undefined {
return this.toKeyValue(this.tree.inOrder().next().value);
}
last(): [K, V] | undefined {
return this.toKeyValue(this.tree.reverseInOrder().next().value);
}
shift(): [K, V] | undefined {
const first = this.first();
if (first === undefined) return undefined;
this.delete(first[0]);
return first;
}
pop(): [K, V] | undefined {
const last = this.last();
if (last === undefined) return undefined;
this.delete(last[0]);
return last;
}
toKeyValue(key: K): [K, V];
toKeyValue(key: undefined): undefined;
toKeyValue(key: K | undefined): [K, V] | undefined;
toKeyValue(key: K | undefined): [K, V] | undefined {
return key != null ? [key, this.map.get(key)!] : undefined;
}
*[Symbol.iterator](): Generator<[K, V], void, void> {
for (const key of this.keys()) yield this.toKeyValue(key);
}
*keys(): Generator<K, void, void> {
for (const key of this.tree.inOrder()) yield key;
}
*values(): Generator<V, undefined, void> {
for (const key of this.keys()) yield this.map.get(key)!;
return undefined;
}
*rkeys(): Generator<K, undefined, void> {
for (const key of this.tree.reverseInOrder()) yield key;
return undefined;
}
*rvalues(): Generator<V, undefined, void> {
for (const key of this.rkeys()) yield this.map.get(key)!;
return undefined;
}
}
/**
* Your MyCalendar object will be instantiated and called as such:
* var obj = new MyCalendar()
* 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: Loop endpoints miss first/last candidate.
Usually fails on: Fails on minimal arrays and exact-boundary answers.
Fix: Re-derive loops from inclusive/exclusive ranges before coding.
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.