Complete the code to merge overlapping intervals.
intervals.sort(key=lambda x: x[[1]])We sort intervals by their start time, which is at index 0.
Complete the code to check if current interval overlaps with the last merged interval.
if intervals[i][[1]] <= merged[-1][1]:
We compare the start of the current interval (index 0) with the end of the last merged interval.
Fix the error in updating the end time of the last merged interval.
merged[-1][1] = max(merged[-1][1], intervals[i][[1]])
The end time is at index 1, so we take the max of last merged end and current interval end.
Fill both blanks to create a list of merged intervals.
merged = [intervals[[1]]] for i in range(1, [2]): # merging logic here
Start merged list with first interval at index 0, then loop from 1 to length of intervals.
Fill all three blanks to complete the dictionary comprehension that counts interval overlaps by start time.
overlap_count = { [1]: sum(1 for interval in intervals if interval[[2]] == start) for start in [3] }We create a dictionary with keys as start times, counting how many intervals start at each time.