Call to Home
Nicola believes that Sophia calls Home too much and her phone bill is much too expensive. He took the bills for Sophia's calls from the last few days and wants to calculate how much did it cost.
The bill is represented as an array with information about the calls.
Help Nicola to calculate the cost for each of Sophia’s...
For example:
2014-01-01 01:12:13 181 2014-01-02 20:11:10 600 2014-01-03 01:12:13 6009 2014-01-03 12:13:55 200First day -- 181s≈4m -- 4 coins;
Second day -- 600s=10m -- 10 coins;
Third day -- 6009s≈101m + 200s≈4m -- 100 + 5 * 2 = 110 coins;
Total -- 124 coins.
Input: The information about calls as a tuple of strings.
Output: The total cost as an integer.
Example:
totalCost(['2014-01-01 01:12:13 181',
'2014-01-02 20:11:10 600',
'2014-01-03 01:12:13 6009',
'2014-01-03 12:13:55 200']) == 124
totalCost(['2014-02-05 01:00:00 1',
'2014-02-05 02:00:00 1',
'2014-02-05 03:00:00 1',
'2014-02-05 04:00:00 1']) == 4
totalCost(['2014-02-05 01:00:00 60',
'2014-02-05 02:00:00 60',
'2014-02-05 03:00:00 60',
'2014-02-05 04:00:00 6000']) == 106
How it is used: This mission will teach you how to parse and analyze various types of data. Sometimes you don't need the full data and should single out only the important fragments.
Precondition:
0 < len(calls) ≤ 30
0 < call_duration ≤ 7200
The bill is sorted by datetime.
