Teemo Attacking
Problem Description
Our hero Teemo is attacking an enemy Ashe with poison attacks! When Teemo attacks Ashe, Ashe gets poisoned for a exactly duration
seconds. More formally, an attack at second t
will mean Ashe is poisoned during the inclusive time interval [t, t + duration - 1]
. If Teemo attacks again before the poison effect ends, the timer for it is reset, and the poison effect will end duration
seconds after the new attack.
You are given a non-decreasing integer array timeSeries
, where timeSeries[i]
denotes that Teemo attacks Ashe at second timeSeries[i]
, and an integer duration
.
Return the total number of seconds that Ashe is poisoned.
Examples
Example 1:
Input: timeSeries = [1,4], duration = 2
Output: 4
Explanation: Teemo's attacks on Ashe go as follows:
- At second 1, Teemo attacks, and Ashe is poisoned for seconds 1 and 2.
- At second 4, Teemo attacks, and Ashe is poisoned for seconds 4 and 5.
Ashe is poisoned for seconds 1, 2, 4, and 5, which is 4 seconds in total.
Example 2:
Input: timeSeries = [1,2], duration = 2
Output: 3
Explanation: Teemo's attacks on Ashe go as follows:
- At second 1, Teemo attacks, and Ashe is poisoned for seconds 1 and 2.
- At second 2 however, Teemo attacks again and resets the poison timer. Ashe is poisoned for seconds 2 and 3.
Ashe is poisoned for seconds 1, 2, and 3, which is 3 seconds in total.
Constraints
timeSeries
is sorted in non-decreasing order.
Solution for Teemo Attacking
Approach 1: One pass
Intuition
The problem is an example of merge interval questions which are now quite popular in Google.
Typically such problems could be solved in a linear time in the case of sorted input, and in O(NlogN) time otherwise.
Here one deals with a sorted input, and the problem could be solved in one pass with a constant space. The idea is straightforward: consider only the interval between two attacks. Ashe spends in a poisoned condition the whole time interval if this interval is shorter than the poisoning time duration duration
, and duration
otherwise.
Algorithm
-
Initiate total time in poisoned condition
total = 0
. -
Iterate over
timeSeries
list. At each step add to the total time the minimum between interval length and the poisoning time durationduration
. -
Return
total + duration
to take the last attack into account.
Code in Different Languages
- C++
- Java
- Python
class Solution {
public:
int findPoisonedDuration(std::vector<int>& timeSeries, int duration) {
int n = timeSeries.size();
if (n == 0) return 0;
int total = 0;
for(int i = 0; i < n - 1; ++i)
total += std::min(timeSeries[i + 1] - timeSeries[i], duration);
return total + duration;
}
};
class Solution {
public int findPoisonedDuration(int[] timeSeries, int duration) {
int n = timeSeries.length;
if (n == 0) return 0;
int total = 0;
for(int i = 0; i < n - 1; ++i)
total += Math.min(timeSeries[i + 1] - timeSeries[i], duration);
return total + duration;
}
}
class Solution:
def findPoisonedDuration(self, timeSeries: List[int], duration: int) -> int:
n = len(timeSeries)
if n == 0:
return 0
total = 0
for i in range(n - 1):
total += min(timeSeries[i + 1] - timeSeries[i], duration)
return total + duration
Complexity Analysis
Time Complexity:
Reason: where N is the length of the input list since we iterate the entire list.
Space Complexity:
Reason: it's a constant space solution.
References
-
LeetCode Problem: Teemo Attacking
-
Solution Link: Teemo Attacking