
Problem Statement
A Range Module is a specialized data structure designed to manage and track ranges of numbers, specifically using half-open intervals. These intervals are represented in the format [left, right)
, meaning they include all real numbers $x$ where $left <= x < right$. The primary tasks the Range Module should handle include adding new intervals, querying whether specific intervals are fully tracked, and removing intervals from tracking.
Each operation on the Range Module modifies the current state of tracked intervals or queries their status. For example, adding an interval might merge with or split existing intervals. Similarly, removing an interval could lead to exclusion gaps that split an interval into disjoint parts. The challenge lies in implementing these operations efficiently while maintaining the integrity of the interval tracking.
Examples
Example 1
Input:
["RangeModule", "addRange", "removeRange", "queryRange", "queryRange", "queryRange"] [[], [10, 20], [14, 16], [10, 14], [13, 15], [16, 17]]
Output:
[null, null, null, true, false, true]
Explanation:
RangeModule rangeModule = new RangeModule(); rangeModule.addRange(10, 20); rangeModule.removeRange(14, 16); rangeModule.queryRange(10, 14); // return True,(Every number in [10, 14) is being tracked) rangeModule.queryRange(13, 15); // return False,(Numbers like 14, 14.03, 14.17 in [13, 15) are not being tracked) rangeModule.queryRange(16, 17); // return True, (The number 16 in [16, 17) is still being tracked, despite the remove operation)
Constraints
1 <= left < right <= 10^9
- At most
10^4
calls will be made toaddRange
,queryRange
, andremoveRange
.
Approach and Intuition
Let's break down the operations and understand the logic and intuition behind the implementation:
Initialization:
- The
RangeModule()
constructor initializes the data structure. It might set up an empty interval list or a more complex data structure like a balanced tree (e.g., Red-Black tree) or segment tree for efficient range management.
- The
Adding Ranges (
addRange
):- This function inserts a new interval
[left, right)
into the module. If this interval overlaps with existing ones, it merges them to maintain non-overlapping continuity. Internally, this might require checking for overlap with all existing ranges, merging overlaps, and inserting new ranges as appropriate.
- This function inserts a new interval
Querying Ranges (
queryRange
):- This function checks if every real number within the interval
[left, right)
is currently tracked. This can be efficiently implemented by ensuring there are no gaps in tracking within this interval. For structures like segment trees, this check can be performed in logarithmic time.
- This function checks if every real number within the interval
Removing Ranges (
removeRange
):- This operation involves removing all numbers in the interval
[left, right)
from tracking. If the interval fully or partially overlaps with tracked intervals, those intervals are modified or removed. This might split an existing interval into smaller parts or adjust the boundaries of the tracked intervals.
- This operation involves removing all numbers in the interval
Example Breakdown
Consider the example operations:
- Initialize: Start with an empty tracking.
- Add
[10, 20]
: Tracks numbers between 10 and just before 20. - Remove
[14, 16]
: Adjusts tracking, now tracking from 10 up to just before 14 and then from 16 up to just before 20. - Query
[10, 14]
: Returns true as all numbers from 10 to just before 14 are tracked. - Query
[13, 15]
: Returns false due to the gap created between 14 and 16. - Query
[16, 17]
: Returns true as this small segment is still tracked.
From this example, it can be inferred how additions, deletions, and queries manipulate and check the sets of tracked intervals. These operations rely heavily on understanding the intersections and unions of intervals to update and verify range tracking accurately. Furthermore, the constraints provided ensure that the solutions must handle large numbers up to $10^9$ and multiple calls, thus emphasizing the need for efficient range tracking and querying mechanisms.
Solutions
- C++
class IntervalManager {
public:
IntervalManager() {}
void insertRange(int start, int end) {
auto s = ranges.upper_bound({start, INT_MAX});
auto e = ranges.upper_bound({end, INT_MAX});
if (s != ranges.begin()) {
s--;
if (s->second < start) s++;
}
if (s != e) {
start = min(start, s->first);
end = max(end, (--e)->second);
ranges.erase(s, ++e);
}
ranges.insert({start, end});
}
bool isRangePresent(int start, int end) {
auto iter = ranges.upper_bound({start, INT_MAX});
if (iter == ranges.begin() || (--iter)->second < end) return false;
return true;
}
void deleteRange(int start, int end) {
auto s = ranges.upper_bound({start, INT_MAX});
auto e = ranges.upper_bound({end, INT_MAX});
if (s != ranges.begin()) {
s--;
if (s->second < start) s++;
}
if (s == e) return;
int low = min(start, s->first);
int high = max(end, (--e)->second);
ranges.erase(s, ++e);
if (low < start) ranges.insert({low, start});
if (high > end) ranges.insert({end, high});
}
private:
set<pair<int, int>> ranges;
};
The solution implements a Range Module
using C++ which allows for efficient operations over intervals or ranges. Here is a concise summary of how the class IntervalManager
operates:
Constructor (
IntervalManager
): Initializes an instance of the IntervalManager class.Insertion of a Range (
insertRange
): Adds a new interval to the interval setranges
. If the new interval overlaps with existing intervals, merges them into a single, continuous interval. This merging process involves:- Locating the correct positions in the set to start merging (using
upper_bound
). - Adjusting the start and end points by comparing with existing intervals.
- Erasing overlapping intervals from the set.
- Inserting the newly formed merged interval.
- Locating the correct positions in the set to start merging (using
Checking for a Range (
isRangePresent
): Determines if a specific interval is completely present in the set. The method ensures:- Finding the proper interval position (if any).
- Confirming the interval fully includes the queried range.
Deletion of a Range (
deleteRange
): Removes or adjusts the specified interval from the setranges
. Similar to insertion, this method:- Identifies and removes the exact or overlapping intervals.
- Retains non-overlapping parts of existing intervals by inserting them back into the set after the specified range is removed.
The class uses a set
of pairs to manage ranges, where each pair is treated as an interval. Both insertRange
and deleteRange
employ the standard upper_bound
method to find the relevant position in the set for merging or splitting intervals. The effective use of set operations ensures that all methods perform optimally in log-scale time complexity relative to the number of intervals present.
- Java
class IntervalManager {
TreeSet<Interval> intervals;
public IntervalManager() {
intervals = new TreeSet<>();
}
public void insertRange(int start, int end) {
Iterator<Interval> iterator = intervals
.tailSet(new Interval(0, start))
.iterator();
while (iterator.hasNext()) {
Interval current = iterator.next();
if (end < current.left) {
break;
}
start = Math.min(start, current.left);
end = Math.max(end, current.right);
iterator.remove();
}
intervals.add(new Interval(start, end));
}
public boolean isCovered(int start, int end) {
Interval next = intervals.higher(new Interval(0, start));
return (next != null && next.left <= start && end <= next.right);
}
public void deleteRange(int start, int end) {
Iterator<Interval> iterator = intervals
.tailSet(new Interval(0, start - 1))
.iterator();
ArrayList<Interval> toAdd = new ArrayList<>();
while (iterator.hasNext()) {
Interval current = iterator.next();
if (end < current.left) {
break;
}
if (current.left < start) {
toAdd.add(new Interval(current.left, start));
}
if (end < current.right) {
toAdd.add(new Interval(end, current.right));
}
iterator.remove();
}
for (Interval interval : toAdd) {
intervals.add(interval);
}
}
}
class Interval implements Comparable<Interval> {
int left;
int right;
public Interval(int left, int right) {
this.left = left;
this.right = right;
}
public int compareTo(Interval that) {
if (this.right == that.right) {
return this.left - that.left;
}
return this.right - that.right;
}
}
The provided Java code defines a class IntervalManager
designed to manage and manipulate intervals using a TreeSet
. The IntervalManager
includes methods to insert, check coverage, and delete ranges within these intervals. Here's a breakdown of its functionality:
Initialization:
- Initialize
intervals
as aTreeSet
which holds interval objects. This uses custom sorting defined in theInterval
class.
- Initialize
Inserting a Range:
insertRange(int start, int end)
inserts a new interval into the set. If this new interval overlaps with existing ones, it merges them into a single, continuous interval.- It iterates over intervals that might overlap using
tailSet
anditerator
. Overlapping intervals are removed, and the new, merged interval is added.
Checking if a Range is Covered:
isCovered(int start, int end)
returns true if there exists a single interval that entirely covers the given range fromstart
toend
.- This is checked using the
higher
method onintervals
to find the minimum interval that starts just after the givenstart
.
Deleting a Range:
deleteRange(int start, int end)
handles removing or adjusting intervals that overlap with a specified range.- During iteration, if an interval is partially overlapped, it is split into new intervals reflecting the non-overlapped portions. These new intervals are saved in a list and later added back to the
TreeSet
.
Interval
Class:- This nested class represents an interval with a
left
andright
boundary. - Implements the
Comparable
interface to define the natural order of intervals within theTreeSet
, primarily ordered by the right boundary and secondarily by the left boundary.
- This nested class represents an interval with a
This configuration enables efficient operations pertinent to managing intervals such as adding, checking, and removing ranges, which are crucial for systems needing dynamic interval management such as time slots or range querying systems. The use of a TreeSet
optimizes these operations with logarithmic time complexity concerning the number of intervals.
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