You are given a 0-indexed array of positive integers tasks
, representing tasks that need to be completed in order, where tasks[i]
represents the type of the ith
task.
You are also given a positive integer space
, which represents the minimum number of days that must pass after the completion of a task before another task of the same type can be performed.
Each day, until all tasks have been completed, you must either:
- Complete the next task from
tasks
, or - Take a break.
Return the minimum number of days needed to complete all tasks.
Task Scheduler II LeetCode Contest
Example 1:
Input: tasks = [1,2,1,2,3,1], space = 3 Output: 9 Explanation: One way to complete all tasks in 9 days is as follows: Day 1: Complete the 0th task. Day 2: Complete the 1st task. Day 3: Take a break. Day 4: Take a break. Day 5: Complete the 2nd task. Day 6: Complete the 3rd task. Day 7: Take a break. Day 8: Complete the 4th task. Day 9: Complete the 5th task. It can be shown that the tasks cannot be completed in less than 9 days.
Example 2:
Input: tasks = [5,8,8,5], space = 2 Output: 6 Explanation: One way to complete all tasks in 6 days is as follows: Day 1: Complete the 0th task. Day 2: Complete the 1st task. Day 3: Take a break. Day 4: Take a break. Day 5: Complete the 2nd task. Day 6: Complete the 3rd task. It can be shown that the tasks cannot be completed in less than 6 days.
Constraints:
1 <= tasks.length <= 105
1 <= tasks[i] <= 109
1 <= space <= tasks.length
Solution
public long taskSchedulerII(int[] tasks, int space) {
Map<Integer, Long> last = new HashMap<>();;
long res = 0;
for (int a : tasks)
if (last.containsKey(a))
last.put(a, res = Math.max(res, last.get(a) + space) + 1);
else
last.put(a, ++res);
return res;
}
long long taskSchedulerII(vector<int>& tasks, int space) {
unordered_map<int, long long> last;
long long res = 0;
for (int a: tasks)
if (last.count(a))
last[a] = res = max(res, last[a] + space) + 1;
else
last[a] = ++res;
return res;
}
def taskSchedulerII(self, A, space):
last = defaultdict(lambda: - len(A) - 10)
res = 0
for a in A:
last[a] = res = max(res, last[a] + space) + 1
return res
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