Description
You are given an integer array nums.
Splitting of an integer array nums into subarrays is valid if:
- the greatest common divisor of the first and last elements of each subarray is greater than
1, and - each element of
numsbelongs to exactly one subarray.
Return the minimum number of subarrays in a valid subarray splitting of nums. If a valid subarray splitting is not possible, return -1.
Note that:
- The greatest common divisor of two numbers is the largest positive integer that evenly divides both numbers.
- A subarray is a contiguous non-empty part of an array.
Example 1:
Input: nums = [2,6,3,4,3] Output: 2 Explanation: We can create a valid split in the following way: [2,6] | [3,4,3]. - The starting element of the 1st subarray is 2 and the ending is 6. Their greatest common divisor is 2, which is greater than 1. - The starting element of the 2nd subarray is 3 and the ending is 3. Their greatest common divisor is 3, which is greater than 1. It can be proved that 2 is the minimum number of subarrays that we can obtain in a valid split.
Example 2:
Input: nums = [3,5] Output: 2 Explanation: We can create a valid split in the following way: [3] | [5]. - The starting element of the 1st subarray is 3 and the ending is 3. Their greatest common divisor is 3, which is greater than 1. - The starting element of the 2nd subarray is 5 and the ending is 5. Their greatest common divisor is 5, which is greater than 1. It can be proved that 2 is the minimum number of subarrays that we can obtain in a valid split.
Example 3:
Input: nums = [1,2,1] Output: -1 Explanation: It is impossible to create valid split.
Constraints:
1 <= nums.length <= 10001 <= nums[i] <= 105
Solutions
Solution 1: Memoization Search
We design a function dfs(i) to represent the minimum number of partitions starting from index i. For index i, we can enumerate all partition points j, i.e., i ≤ j < n, where n is the length of the array. For each partition point j, we need to determine whether the greatest common divisor of nums[i] and nums[j] is greater than 1. If it is greater than 1, we can partition, and the number of partitions is 1 + dfs(j + 1); otherwise, the number of partitions is +∞. Finally, we take the minimum of all partition numbers.
The time complexity is O(n2), and the space complexity is O(n). Here, n is the length of the array.
class Solution: def validSubarraySplit(self, nums: List[int]) -> int: @cache def dfs(i): if i >= n: return 0 ans = inf for j in range(i, n): if gcd(nums[i], nums[j]) > 1: ans = min(ans, 1 + dfs(j + 1)) return ans n = len(nums) ans = dfs(0) dfs.cache_clear() return ans if ans < inf else -1(code-box)
