Came across this question in an interview blog. Given free-time schedule in the form (a - b) i.e., from 'a' to 'b'
of n
people, print all time intervals where all n
participants are available. It's like a calendar application suggesting possible meeting timinings.
Example:
Person1: (4 - 16), (18 - 25)
Person2: (2 - 14), (17 - 24)
Person3: (6 - 8), (12 - 20)
Person4: (10 - 22)
Time interval when all are available: (12 - 14), (18 - 20).
Please share any known optimal algorithm to solve this problem.
I am thinking of the following solution.
Create a currentList
of intervals that contain one interval from each person. Initially currentList = [4-16, 2-14, 6-8, 10-22]
.
Look for the max_start
and min_end
in currentList
and output (max_start, min_end)
if max_start < min_end
; Update all intervals in currentList
to have start
value as min_end
. Remove the interval that has min_end
from currentList
and add the next entry in that person's list to currentList
.
If max_start >= min_end
in previous step, update all intervals in currentList
to have start
value as max_start
. If for any interval i
, end > start
, replace that interval in currentList
with the next interval of the corresponding person.
Based on the above idea, it will run as below for the given example:
currentList = [4-16, 2-14, 6-8, 10-22] max_start=10 >= min_end=8
update start values to be 10 and replace 6-8 with next entry 12-20.
currentList = [10-16, 10-14, 12-20, 10-22] max_start=12 <= min_end=14
add max_start-min_end to output and update start values to 14. Output=[12-14]
currentList = [14-16, 17-24, 14-20, 14-22] max_start=17 >= min_end=16
update start values to be 17 and replace 14-16 with 18-25
currentList = [18-25, 17-24, 17-20, 17-22] max_start=18 <= min_end=20
add max_start-min_end to output and update start values to 20. Output=[12-14, 18-20]
currentList = [20-25, 2-24, - , 2-22]
Terminate now since there are no more entry from person 3.
I have not implemented the above though. I am thinking of a min-heap and max-heap to get the min and max at any point. But I am concerned about updating the start values because updating the heap may become expensive.
A starting point, still to optimize a bit, might be the following (code is in Python).
You have the following data (the allPeople
list will be clearly created dynamically):
person_1 = ["4-16","18-24"]
person_2 = ["2-14","17-24"]
person_3 = ["6-8","12-20"]
person_4 = ["10-22"]
allPeople = [person_1, person_2, person_3, person_4]
What you might do is to create a list containing all the time slots of the day (i.e. ["0-1", "1-2", "2-3", etc.]
as follows:
allTimeSlots = []
for j in range(0,24):
allTimeSlots.append(str(j) + "-" + str(j+1))
and then create a list called commonFreeSlots
, which is made of all the time slots that are inside each person's free time slot collection:
commonFreeSlots = []
for j in range(0,len(allTimeSlots)):
timeSlotOk = True
for k in range(0,len(allPeople)):
person_free_slots = parseSlot(allPeople[k])
if allTimeSlots[j] not in person_free_slots:
timeSlotOk = False
break
if timeSlotOk:
commonFreeSlots.append(allTimeSlots[j])
Please note that the function parseSlot
is just taking a list of strings (like "2-14","15-16"
) and returning a list of hourly time slots (like ["2-3","3-4","4-5" etc.]
in order to make it comparable with the hourly time slot list allTimeSlots
created above:
def parseSlot(list_of_slots):
result = []
for j in range(0,len(list_of_slots)):
start_time = int(list_of_slots[j].split("-")[0])
end_time = int(list_of_slots[j].split("-")[1])
k = 0
while (start_time + k) < end_time:
result.append(str(start_time+k) + "-" + str(start_time+k+1))
k += 1
return result
If I run the above script, I get the following result:
['12-13', '13-14', '18-19', '19-20']
Of course you will have to still work a bit the output in order to aggregate the hours (and having ['12-14','18-20']
instead of the hourly version), but this should be easier I think.
The above solution should work always, however I'm not sure it's optimal, it probably exists a better one. But since you didn't share any attempt yet, I guess you'd just like some tips to get started so I hope this one helps a bit.