Description
Given a data stream input of non-negative integers a1, a2, ..., an, summarize the numbers seen so far as a list of disjoint intervals.
Implement the SummaryRanges class:
SummaryRanges()Initializes the object with an empty stream.void addNum(int value)Adds the integervalueto the stream.int[][] getIntervals()Returns a summary of the integers in the stream currently as a list of disjoint intervals[starti, endi]. The answer should be sorted bystarti.
Example 1:
Input ["SummaryRanges", "addNum", "getIntervals", "addNum", "getIntervals", "addNum", "getIntervals", "addNum", "getIntervals", "addNum", "getIntervals"] [[], [1], [], [3], [], [7], [], [2], [], [6], []] Output [null, null, [[1, 1]], null, [[1, 1], [3, 3]], null, [[1, 1], [3, 3], [7, 7]], null, [[1, 3], [7, 7]], null, [[1, 3], [6, 7]]] Explanation SummaryRanges summaryRanges = new SummaryRanges(); summaryRanges.addNum(1); // arr = [1] summaryRanges.getIntervals(); // return [[1, 1]] summaryRanges.addNum(3); // arr = [1, 3] summaryRanges.getIntervals(); // return [[1, 1], [3, 3]] summaryRanges.addNum(7); // arr = [1, 3, 7] summaryRanges.getIntervals(); // return [[1, 1], [3, 3], [7, 7]] summaryRanges.addNum(2); // arr = [1, 2, 3, 7] summaryRanges.getIntervals(); // return [[1, 3], [7, 7]] summaryRanges.addNum(6); // arr = [1, 2, 3, 6, 7] summaryRanges.getIntervals(); // return [[1, 3], [6, 7]]
Constraints:
0 <= value <= 104- At most
3 * 104calls will be made toaddNumandgetIntervals. - At most
102calls will be made togetIntervals.
Follow up: What if there are lots of merges and the number of disjoint intervals is small compared to the size of the data stream?
Solutions
Solution 1
PythonJavaC++
class SummaryRanges: def __init__(self): self.mp = SortedDict() def addNum(self, val: int) -> None: n = len(self.mp) ridx = self.mp.bisect_right(val) lidx = n if ridx == 0 else ridx - 1 keys = self.mp.keys() values = self.mp.values() if ( lidx != n and ridx != n and values[lidx][1] + 1 == val and values[ridx][0] - 1 == val ): self.mp[keys[lidx]][1] = self.mp[keys[ridx]][1] self.mp.pop(keys[ridx]) elif lidx != n and val <= values[lidx][1] + 1: self.mp[keys[lidx]][1] = max(val, self.mp[keys[lidx]][1]) elif ridx != n and val >= values[ridx][0] - 1: self.mp[keys[ridx]][0] = min(val, self.mp[keys[ridx]][0]) else: self.mp[val] = [val, val] def getIntervals(self) -> List[List[int]]: return list(self.mp.values()) # # Your SummaryRanges object will be instantiated and called as such: # # obj = SummaryRanges() # # obj.addNum(val) # # param_2 = obj.getIntervals()(code-box)
