
Problem Statement
In the given task, you are to implement a calendar system that tracks the booking of time intervals using a class called MyCalendarTwo
. The system allows the addition of new events, each specified by a start time and an end time, represented as a half-open interval [startTime, endTime)
. This interval includes the start time but excludes the end time, effectively covering moments where startTime <= x < endTime
.
The core requirement of this system is preventing what is termed a "triple booking". A "triple booking" occurs when three distinct events overlap at any point in time. The class MyCalendarTwo
should support the initialization of a calendar object and a method book(int startTime, int endTime)
, which attempts to add a new event to the calendar. If adding the new event results in any triple booking, the method should return false
and reject the event. Otherwise, it should return true
, indicating that the event has been successfully added without violations.
The implementation needs to cater efficiently to the possibility that up to 1000 events may need to be booked, with any potential start or end time ranging from 0 to 1,000,000,000.
Examples
Example 1
Input:
["MyCalendarTwo", "book", "book", "book", "book", "book", "book"] [[], [10, 20], [50, 60], [10, 40], [5, 15], [5, 10], [25, 55]]
Output:
[null, true, true, true, false, true, true]
Explanation:
MyCalendarTwo myCalendarTwo = new MyCalendarTwo(); myCalendarTwo.book(10, 20); // return true myCalendarTwo.book(50, 60); // return true myCalendarTwo.book(10, 40); // return true (double booking) myCalendarTwo.book(5, 15); // return false (triple booking) myCalendarTwo.book(5, 10); // return true myCalendarTwo.book(25, 55); // return true
Constraints
0 <= start < end <= 10^9
- At most
1000
calls will be made tobook
.
Approach and Intuition
To solve this problem effectively, we must ensure that we allow:
- Single bookings: One event in a time range.
- Double bookings: Two events overlapping in a time range.
But we must disallow:
- Triple bookings: Three events overlapping in any time range.
Step-by-Step Strategy
Track Booked Events:
- Maintain a list
booked
of all successfully added intervals. - Maintain another list
overlaps
of all intervals that have been double booked.
- Maintain a list
Check for Triple Booking:
For each new interval
[start, end)
to be booked:- First, check if it overlaps with any existing interval in
overlaps
. If it does, adding it would create a triple booking. Returnfalse
. - If not, proceed to step 3.
- First, check if it overlaps with any existing interval in
Update Overlaps:
For each existing event in
booked
, check if it overlaps with the new event:- If there is an overlap, compute the intersection interval and add it to
overlaps
.
- If there is an overlap, compute the intersection interval and add it to
Add to Booked List:
- Once it's verified that no triple booking occurs, add the new interval to the
booked
list.
- Once it's verified that no triple booking occurs, add the new interval to the
Example Walkthrough
- Booking [10, 20]: No overlap exists yet → allowed.
- Booking [10, 40]: Overlaps with [10, 20] → double booked on [10, 20].
- Booking [5, 15]: Overlaps with [10, 20] and also [10, 40] → [10, 15] would be triple booked → reject.
Code-Level Insight
This solution is O(N²) in the worst case where each new event overlaps with many others, but it's acceptable for N <= 1000
as per the constraint.
It efficiently handles arbitrary time intervals in a large range (up to 1e9) without the need for segment trees or complex structures by directly managing overlapping intervals through linear comparisons. This keeps implementation clean and effective for the problem's limits.
Solutions
- C++
- Java
- Python
class MyCalendarTwo {
public:
map<int, int> bookings;
int maxOverlap;
MyCalendarTwo() { maxOverlap = 2; }
bool book(int start, int end) {
bookings[start]++;
bookings[end]--;
int currentOverlap = 0;
for (auto const& booking : bookings) {
currentOverlap += booking.second;
if (currentOverlap > maxOverlap) {
bookings[start]--;
bookings[end]++;
if (bookings[start] == 0) {
bookings.erase(start);
}
if (bookings[end] == 0) {
bookings.erase(end);
}
return false;
}
}
return true;
}
};
Address the "My Calendar II" problem using C++ by managing overlapping events with proper handling of intervals. The implementation utilizes a map<int, int>
to track the start and end times of booked intervals and dynamically adjusts overlaps with each new booking attempt.
- Define variables
bookings
to store event start (+1) and end (-1) times, andmaxOverlap
set at 2 for allowing double booking but not more. InitializemaxOverlap
in the constructor. - Implement the
book
function to add or remove bookings:- Increment entry for start time and decrement for end time in
bookings
. - Traverse the map to recalculate the current number of overlapping bookings.
- If overlap exceeds 2 at any time during the iteration, reset changes by decrementing start and incrementing end back, and handle any resultant zero-values by removing them from the map, then return false.
- If no overlap constraint is violated, return true, indicating successful booking.
- Increment entry for start time and decrement for end time in
This approach efficiently checks and handles each event's possible overlap while maintaining a tally of ongoing bookings, allowing quick adjustments and validations for new events.
class CalendarScheduler {
private TreeMap<Integer, Integer> eventBookings;
private int maxSimultaneousEvents;
public CalendarScheduler() {
eventBookings = new TreeMap<>();
maxSimultaneousEvents = 2;
}
public boolean book(int start, int end) {
// Modify booking counts at start and end points
eventBookings.put(start, eventBookings.getOrDefault(start, 0) + 1);
eventBookings.put(end, eventBookings.getOrDefault(end, 0) - 1);
int currentOverlap = 0;
// Calculate current overlaps
for (Map.Entry<Integer, Integer> entry : eventBookings.entrySet()) {
currentOverlap += entry.getValue();
// Check if current overlap exceeds the threshold
if (currentOverlap > maxSimultaneousEvents) {
// Undo the booking
eventBookings.put(start, eventBookings.get(start) - 1);
eventBookings.put(end, eventBookings.get(end) + 1);
// Remove the entry if no bookings exist
if (eventBookings.get(start) == 0) {
eventBookings.remove(start);
}
return false;
}
}
return true;
}
}
The My Calendar II problem is tackled here using a Java implementation that manages a scheduling system allowing the booking of events. Here’s a breakdown of how this solution approaches it:
- A
TreeMap
namedeventBookings
is utilized to keep track of the number of ongoing events at any given time. - The system uses this
TreeMap
to record changes at the start and the end of an event. When an event starts, it increments the count at the starting time, and when it ends, it decrements the count at the ending time. - The booking method checks if adding a new event would cause the number of simultaneous events to exceed two (set by
maxSimultaneousEvents
). - As each event is booked, the method iterates through all booked times in
eventBookings
. Cumulative overlaps are calculated by summing the values (increments and decrements). - If at any point the cumulative number of events exceeds the maximum allowed simultaneous events, the current booking is reversed. The event count is adjusted to its previous state both at the start and at the end times, ensuring the system maintains consistency.
- If no events exist for a particular start time after a rollback, that time key is removed from the map to keep the system clean.
- The function returns
true
if the booking is successful without exceeding the simultaneous event limit, otherwise, it returnsfalse
.
This Java solution effectively manages event bookings by keeping a dynamic count of start and end points while ensuring that the overlap does not exceed a defined threshold, providing a robust model for handling concurrent event bookings efficiently.
from sortedcontainers import SortedDict
class CalendarScheduler:
def __init__(self):
# Key schedule data.
self.schedule_tracker = SortedDict()
# Set the maximum allowed simultaneous events.
self.allowed_overlap = 2
def reserve(self, begin: int, conclusion: int) -> bool:
# Manage scheduling tracking.
self.schedule_tracker[begin] = self.schedule_tracker.get(begin, 0) + 1
self.schedule_tracker[conclusion] = self.schedule_tracker.get(conclusion, 0) - 1
current_overlap = 0
# Evaluate ongoing events.
for occurrence in self.schedule_tracker.values():
current_overlap += occurrence
# Check if the overlap exceeds permissible limits.
if current_overlap > self.allowed_overlap:
# Undo the reservation.
self.schedule_tracker[begin] -= 1
self.schedule_tracker[conclusion] += 1
# Cleanup zero entries.
if self.schedule_tracker[begin] == 0:
del self.schedule_tracker[begin]
return False
return True
The given Python code introduces a class, CalendarScheduler
, utilizing the SortedDict
from the sortedcontainers
module to manage appointment reservations. This class supports checking if a new event can be added to the calendar without causing unacceptable overlaps greater than two concurrent events. Here is a concise breakdown of how the solution works:
Initialization:
- An instance of
SortedDict
is created to track the start and end of calendar events. - The
allowed_overlap
property is set to limit the number of overlapping events to two.
- An instance of
Reservation Process:
- The
reserve
method adjusts entries inschedule_tracker
to increase the count at the start time of the event and decrease it at the end time. - It calculates ongoing overlaps by iterating through the values of
schedule_tracker
. - If the overlap exceeds the threshold (
allowed_overlap
), the insertion process reverses, decrementing and incrementing at the start and end times, respectively. It further cleans up the tracker by removing entries that drop to zero.
- The
Event Addition Outcome:
- Returns
True
if the event addition stays within the permissible overlap limit. - Returns
False
if adding the event would exceed the limit, ensuring no changes disrupt the existing schedule state.
- Returns
This mechanism effectively manages a calendar with constraints on event overlaps, ensuring a user-friendly approach to scheduling.
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