Description
Given an integer array nums and two integers k and p, return the number of distinct subarrays, which have at most k elements that are divisible by p.
Two arrays nums1 and nums2 are said to be distinct if:
- They are of different lengths, or
- There exists at least one index iwherenums1[i] != nums2[i].
A subarray is defined as a non-empty contiguous sequence of elements in an array.
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Example 1:
Input: nums = [2,3,3,2,2], k = 2, p = 2 Output: 11 Explanation: The elements at indices 0, 3, and 4 are divisible by p = 2. The 11 distinct subarrays which have at most k = 2 elements divisible by 2 are: [2], [2,3], [2,3,3], [2,3,3,2], [3], [3,3], [3,3,2], [3,3,2,2], [3,2], [3,2,2], and [2,2]. Note that the subarrays [2] and [3] occur more than once in nums, but they should each be counted only once. The subarray [2,3,3,2,2] should not be counted because it has 3 elements that are divisible by 2.
Example 2:
Input: nums = [1,2,3,4], k = 4, p = 1 Output: 10 Explanation: All element of nums are divisible by p = 1. Also, every subarray of nums will have at most 4 elements that are divisible by 1. Since all subarrays are distinct, the total number of subarrays satisfying all the constraints is 10.
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Constraints:
- 1 <= nums.length <= 200
- 1 <= nums[i], p <= 200
- 1 <= k <= nums.length
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Follow up:
Can you solve this problem in O(n2) time complexity?
Solution
Python3
class Solution:
    def countDistinct(self, nums: List[int], k: int, p: int) -> int:
        BASE, MOD = 401, 8390190857
        n = len(nums)
        h = [1]
        seen = set()
        
        for _ in range(n):
            h.append((h[-1] * BASE) % MOD)
        
        for sz in range(1, n + 1):
            curr = 0
            count = 0
            
            for i in range(sz):
                curr = (curr * BASE) + nums[i]
                curr %= MOD
                
                if nums[i] % p == 0:
                    count += 1
            
            if count <= k:
                seen.add(curr)
            
            for i in range(sz, n):
                if nums[i] % p == 0:
                    count += 1
                
                if nums[i - sz] % p == 0:
                    count -= 1
                
                curr = (curr * BASE) + nums[i]
                curr %= MOD
                curr -= nums[i - sz] * h[sz]
                curr %= MOD
                
                if count <= k:
                    seen.add(curr)
            
        return len(seen)