LeetCode-Data Stream as Disjoint Intervals
Given a data stream input of non-negative integers a1, a2, ..., an, ..., summarize the numbers seen so far as a list of disjoint intervals.
For example, suppose the integers from the data stream are 1, 3, 7, 2, 6, ..., then the summary will be:
[1, 1]
[1, 1], [3, 3]
[1, 1], [3, 3], [7, 7]
[1, 3], [7, 7]
[1, 3], [6, 7]
Follow up:
What if there are lots of merges and the number of disjoint intervals are small compared to the data stream's size?
Credits:
Special thanks to @yunhong for adding this problem and creating most of the test cases.
Solution 1:
/**
* Definition for an interval.
* public class Interval {
* int start;
* int end;
* Interval() { start = 0; end = 0; }
* Interval(int s, int e) { start = s; end = e; }
* }
*/
public class SummaryRanges { /** Initialize your data structure here. */
public SummaryRanges() {
startMap = new HashMap<Integer, Interval>();
endMap = new HashMap<Integer, Interval>();
addedNum = new HashSet<Integer>();
} public void addNum(int val) {
if (addedNum.contains(val)) return; Interval pre = null, after = null;
if (endMap.containsKey(val - 1))
pre = endMap.get(val - 1);
if (startMap.containsKey(val + 1))
after = startMap.get(val + 1); if (pre != null && after != null) {
endMap.remove(after.end);
startMap.remove(after.start);
endMap.remove(pre.end);
pre.end = after.end;
endMap.put(pre.end, pre);
} else if (pre != null) {
endMap.remove(pre.end);
pre.end = val;
endMap.put(val, pre);
} else if (after != null) {
startMap.remove(after.start);
after.start = val;
startMap.put(val, after);
} else {
Interval single = new Interval(val, val);
endMap.put(val, single);
startMap.put(val, single);
} addedNum.add(val);
} public List<Interval> getIntervals() {
List<Interval> intervalList = new ArrayList<Interval>(endMap.values());
Collections.sort(intervalList, new Comparator<Interval>() {
public int compare(Interval v1, Interval v2) {
return v1.start - v2.start;
}
});
return intervalList;
} HashMap<Integer, Interval> startMap;
HashMap<Integer, Interval> endMap;
HashSet<Integer> addedNum;
} /**
* Your SummaryRanges object will be instantiated and called as such:
* SummaryRanges obj = new SummaryRanges();
* obj.addNum(val);
* List<Interval> param_2 = obj.getIntervals();
*/
This solution introduces many redundant: To find the "pre", we only need to find the interval with the largest start that is less than val. In short, we only need to compare Interval.start
Solution 2:
/**
* Definition for an interval.
* public class Interval {
* int start;
* int end;
* Interval() { start = 0; end = 0; }
* Interval(int s, int e) { start = s; end = e; }
* }
*/
public class SummaryRanges { /** Initialize your data structure here. */
public SummaryRanges() {
itvlSet = new TreeSet<Interval>(new Comparator<Interval>(){
public int compare(Interval v1, Interval v2){
return v1.start-v2.start;
}
}); } public void addNum(int val) {
Interval itvl = new Interval(val,val);
Interval pre = itvlSet.floor(itvl);
Interval after = itvlSet.ceiling(itvl); if ( (pre!=null && pre.end >= val) || (after!=null && after.start <=val)) return; if (pre!=null && pre.end==val-1){
itvlSet.remove(pre);
itvl.start = pre.start;
}
if (after!=null && after.start==val+1){
itvlSet.remove(after);
itvl.end = after.end;
}
itvlSet.add(itvl);
} public List<Interval> getIntervals() {
return new ArrayList<Interval>(itvlSet); } TreeSet<Interval> itvlSet;
} /**
* Your SummaryRanges object will be instantiated and called as such:
* SummaryRanges obj = new SummaryRanges();
* obj.addNum(val);
* List<Interval> param_2 = obj.getIntervals();
*/
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