Question

1590. Make Sum Divisible by P

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Description

Given an array of positive integers nums, remove the smallest subarray (possibly empty) such that the sum of the remaining elements is divisible by p. It is not allowed to remove the whole array.

Return _the length of the smallest subarray that you need to remove, or _-1_ if it's impossible_.

A subarray is defined as a contiguous block of elements in the array.

 

Example 1:

Input: nums = [3,1,4,2], p = 6
Output: 1
Explanation: The sum of the elements in nums is 10, which is not divisible by 6. We can remove the subarray [4], and the sum of the remaining elements is 6, which is divisible by 6.

Example 2:

Input: nums = [6,3,5,2], p = 9
Output: 2
Explanation: We cannot remove a single element to get a sum divisible by 9. The best way is to remove the subarray [5,2], leaving us with [6,3] with sum 9.

Example 3:

Input: nums = [1,2,3], p = 3
Output: 0
Explanation: Here the sum is 6. which is already divisible by 3. Thus we do not need to remove anything.

 

Constraints:

• 1 <= nums.length <= 105
• 1 <= nums[i] <= 109
• 1 <= p <= 109

Solutions

Solution 1

class Solution:
  def minSubarray(self, nums: List[int], p: int) -> int:
    k = sum(nums) % p
    if k == 0:
      return 0
    last = {0: -1}
    cur = 0
    ans = len(nums)
    for i, x in enumerate(nums):
      cur = (cur + x) % p
      target = (cur - k + p) % p
      if target in last:
        ans = min(ans, i - last[target])
      last[cur] = i
    return -1 if ans == len(nums) else ans

class Solution {
  public int minSubarray(int[] nums, int p) {
    int k = 0;
    for (int x : nums) {
      k = (k + x) % p;
    }
    if (k == 0) {
      return 0;
    }
    Map<Integer, Integer> last = new HashMap<>();
    last.put(0, -1);
    int n = nums.length;
    int ans = n;
    int cur = 0;
    for (int i = 0; i < n; ++i) {
      cur = (cur + nums[i]) % p;
      int target = (cur - k + p) % p;
      if (last.containsKey(target)) {
        ans = Math.min(ans, i - last.get(target));
      }
      last.put(cur, i);
    }
    return ans == n ? -1 : ans;
  }
}

class Solution {
public:
  int minSubarray(vector<int>& nums, int p) {
    int k = 0;
    for (int& x : nums) {
      k = (k + x) % p;
    }
    if (k == 0) {
      return 0;
    }
    unordered_map<int, int> last;
    last[0] = -1;
    int n = nums.size();
    int ans = n;
    int cur = 0;
    for (int i = 0; i < n; ++i) {
      cur = (cur + nums[i]) % p;
      int target = (cur - k + p) % p;
      if (last.count(target)) {
        ans = min(ans, i - last[target]);
      }
      last[cur] = i;
    }
    return ans == n ? -1 : ans;
  }
};

func minSubarray(nums []int, p int) int {
  k := 0
  for _, x := range nums {
    k = (k + x) % p
  }
  if k == 0 {
    return 0
  }
  last := map[int]int{0: -1}
  n := len(nums)
  ans := n
  cur := 0
  for i, x := range nums {
    cur = (cur + x) % p
    target := (cur - k + p) % p
    if j, ok := last[target]; ok {
      ans = min(ans, i-j)
    }
    last[cur] = i
  }
  if ans == n {
    return -1
  }
  return ans
}

function minSubarray(nums: number[], p: number): number {
  let k = 0;
  for (const x of nums) {
    k = (k + x) % p;
  }
  if (k === 0) {
    return 0;
  }
  const last = new Map<number, number>();
  last.set(0, -1);
  const n = nums.length;
  let ans = n;
  let cur = 0;
  for (let i = 0; i < n; ++i) {
    cur = (cur + nums[i]) % p;
    const target = (cur - k + p) % p;
    if (last.has(target)) {
      const j = last.get(target)!;
      ans = Math.min(ans, i - j);
    }
    last.set(cur, i);
  }
  return ans === n ? -1 : ans;
}