Subtask 1

For the first subtask, we can try every possible spinner position and calculate the minimum time required to set all ~N~ spinners to this position. For any spinner, the shortest time will either be going clockwise or counter-clockwise depending on which direction takes less time.

Time Complexity: ~\mathcal{O}(NM)~

Subtask 2

For the second subtask, one can observe that checking the current ~N~ spinner positions is enough to find the minimum time required. This is because we can classify the spinners into two groups: spinners that are faster going clockwise and spinners that are faster going counter-clockwise. For every change in the target position the total time changes in relation with the two groups, and thus the current spinner positions will lead to the optimal time.

Time Complexity: ~\mathcal{O}(N^2)~

Subtask 3

For the third and final subtask, we can calculate the total time efficiently by reusing the previously calculated values. Going back to the two groups method, we can maintain the groups using a two-pointer approach after sorting the items. We can then calculate the new time by adding and subtracting the change in group sizes as we loop through all ~N~ candidates.

Time Complexity: ~\mathcal{O}(N \log N)~