Currently, I have intervals of:
temp_tuple = [[-25, -14], [-21, -16], [-20, -15], [-10, -7], [-8, -5], [-6, -3], [2, 4], [2, 3], [3, 6], [12, 15], [13, 18],
#Given an array of intervals in sorted order and a new interval, return a sorted array after merging the interval
def mergeinter(intervals,newinter):
n = len(intervals)
start = newinter[0]# we mark the start and end of the new interval to be merged
end = newinter[1]
right,left = 0,0
while right < n:# we track where this new interval belongs, i.e. how many interval are to the left of it and how many are to the right
if start <= intervals[right][1]:# we find the first interval before which it fits
if end < intervals[right][0]:# this checks if the interval is disjoint and lies between two given intervals
break# in this case we have nothing to do and go to line 29 directly
start = min(start,intervals[right][0])# if it intersects with the given intervals then we just update and merge the ends
end = max(end,intervals[right][1])
else:# counting how many to the left continuing from line 20
left += 1
right += 1# moving right to find the fit continuation of line 20 and even if we merge in line 25, we go to the next interval before
return intervals[:left] + [(start,end)] + intervals[right:] # we return starting from the next interval
#Given a collection of intervals, merge all overlapping intervals and return sorted list of disjoint intervals.
def merge(I):
I.sort(key:lambda i:i[0])# sorting according to the start of all intervals
res = []# we start from the last of the given arr of lists and check the ends of the intervals and merge from the end
for i in I:
if not res or res[-1][0] < i[1]:# if res is empty then we put an elem in it from I
res.append(i)# if there is no overlap, just add it
else:
res[-1][1] = max(i[1], res[-1][1])# here we merge from the end so that res remains sorted
return res