You may remove at most one element from nums. Let arr be the array of remaining elements in their original order, and let m be its length.
A split positioni of arr is valid if:
0 <= i < m - 1, and
gcd(arr[0..i]) == gcd(arr[i + 1..m - 1]).
An array of length 1 has no valid split positions.
The score of arr is the number of valid split positions in it.
Return the maximum possible score of arr.
Here, gcd(a) denotes the greatest common divisor of all elements in the array a.
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Example 1:
Input:nums = [10,30,15,10]
Output:2
Explanation:
One optimal solution is to remove nums[2] = 15. Then arr = [10, 30, 10].
The split positions are:
Split Position i
gcd(arr[0..i])
gcd(arr[i + 1..m - 1])
0
10
10
1
10
10
All split positions are valid. Thus, the answer is 2.
Example 2:
Input:nums = [2,10,14]
Output:1
Explanation:
One optimal solution is to not remove any element. Then arr = [2, 10, 14].
The split positions are:
Split Position i
gcd(arr[0..i])
gcd(arr[i + 1..m - 1])
0
2
2
1
2
14
Only the split position at index 0 is valid. Thus, the answer is 1.
Example 3:
Input:nums = [2,4]
Output:0
Explanation:
The only remaining array that has a split position is arr = [2, 4].
The split positions are:
Split Position i
gcd(arr[0..i])
gcd(arr[i + 1..m - 1])
0
2
4
There are no valid split positions. Thus, the answer is 0.
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Constraints:
2 <= nums.length <= 1000
1 <= nums[i] <= 109βββββββ
Solutions
Solution 1: Enumerate the Removed Index + Prefix and Suffix GCD
Since the array length satisfies \(n \leq 1000\), we can enumerate the index of the removed element (including the case where nothing is removed) to obtain the array \(\textit{arr}\), compute the score of \(\textit{arr}\), and take the maximum over all cases.
For an array \(\textit{arr}\) of length \(m\), we precompute the prefix GCD array \(\textit{pre}\) and the suffix GCD array \(\textit{suf}\), where \(\textit{pre}[i] = \gcd(\textit{arr}[0..i])\) and \(\textit{suf}[i] = \gcd(\textit{arr}[i..m - 1])\). A split position \(i\) is valid if and only if \(\textit{pre}[i] = \textit{suf}[i + 1]\), so the score of \(\textit{arr}\) is the number of indices satisfying this condition.
The time complexity is \(O(n^2 \times \log M)\), and the space complexity is \(O(n)\). Here, \(n\) is the length of the array \(\textit{nums}\), and \(M\) is the maximum value in the array \(\textit{nums}\).