You are given an array of non-overlapping intervals intervals where intervals[i] = [starti, endi] represent the start and the end of the ith interval and intervals is sorted in ascending order by starti. You are also given an interval newInterval = [start, end] that represents the start and end of another interval.
Insert newInterval into intervals such that intervals is still sorted in ascending order by starti and intervals still does not have any overlapping intervals (merge overlapping intervals if necessary).
Return intervals after the insertion.
Example 1:Input: intervals = [[1,3],[6,9]], newInterval = [2,5] Output: [[1,5],[6,9]]
Example 2:Input: intervals = [[1,2],[3,5],[6,7],[8,10],[12,16]], newInterval = [4,8] Output: [[1,2],[3,10],[12,16]] Explanation: Because the new interval [4,8] overlaps with [3,5],[6,7],[8,10].
Constraints:
0 <= intervals.length <= 104intervals[i].length == 20 <= starti <= endi <= 105intervalsis sorted bystartiin ascending order.newInterval.length == 20 <= start <= end <= 105
The logic is easy, just go through each interval and check if the newInterval has overlapped.
I use a flag to check, but I think the code can be even cleaner.
class Solution:
def insert(self, intervals: List[List[int]], newInterval: List[int]) -> List[List[int]]:
result = []
inserted = False
overlap_start = newInterval[0]
overlap_end = newInterval[1]
for start, end in intervals:
if end < overlap_start:
result.append([start, end])
elif start > overlap_end:
if not inserted:
result.append([overlap_start, overlap_end])
inserted = True
result.append([start, end])
else:
overlap_start = min(start, overlap_start)
overlap_end = max(end, overlap_end)
if inserted:
result[-1][0] = overlap_start
result[-1][1] = overlap_end
else:
result.append([overlap_start, overlap_end])
inserted = True
if not inserted:
result.append([overlap_start, overlap_end])
return result
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