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2918. Minimum Equal Sum of Two Arrays After Replacing Zeros

Description

You are given two arrays nums1 and nums2 consisting of positive integers.

You have to replace all the 0's in both arrays with strictly positive integers such that the sum of elements of both arrays becomes equal.

Return the minimum equal sum you can obtain, or -1 if it is impossible.

 

Example 1:

Input: nums1 = [3,2,0,1,0], nums2 = [6,5,0]
Output: 12
Explanation: We can replace 0's in the following way:
- Replace the two 0's in nums1 with the values 2 and 4. The resulting array is nums1 = [3,2,2,1,4].
- Replace the 0 in nums2 with the value 1. The resulting array is nums2 = [6,5,1].
Both arrays have an equal sum of 12. It can be shown that it is the minimum sum we can obtain.

Example 2:

Input: nums1 = [2,0,2,0], nums2 = [1,4]
Output: -1
Explanation: It is impossible to make the sum of both arrays equal.

 

Constraints:

  • 1 <= nums1.length, nums2.length <= 105
  • 0 <= nums1[i], nums2[i] <= 106

Solutions

Solution 1: Case Analysis

We consider the case where we treat all $0$s in the array as $1$s, and calculate the sum of the two arrays separately, denoted as $s_1$ and $s_2$. Without loss of generality, we assume that $s_1 \le s_2$.

  • If $s_1 = s_2$, then the answer is $s_1$.
  • If $s_1 \lt s_2$, then there must exist a $0$ in $nums1$ to make the sum of the two arrays equal. In this case, the answer is $s_2$. Otherwise, it means that it is impossible to make the sum of the two arrays equal, and we return $-1$.

The time complexity is $O(n + m)$, where $n$ and $m$ are the lengths of the arrays $nums1$ and $nums2$, respectively. The space complexity is $O(1)$.

  • class Solution {
        public long minSum(int[] nums1, int[] nums2) {
            long s1 = 0, s2 = 0;
            boolean hasZero = false;
            for (int x : nums1) {
                hasZero |= x == 0;
                s1 += Math.max(x, 1);
            }
            for (int x : nums2) {
                s2 += Math.max(x, 1);
            }
            if (s1 > s2) {
                return minSum(nums2, nums1);
            }
            if (s1 == s2) {
                return s1;
            }
            return hasZero ? s2 : -1;
        }
    }
    
  • class Solution {
    public:
        long long minSum(vector<int>& nums1, vector<int>& nums2) {
            long long s1 = 0, s2 = 0;
            bool hasZero = false;
            for (int x : nums1) {
                hasZero |= x == 0;
                s1 += max(x, 1);
            }
            for (int x : nums2) {
                s2 += max(x, 1);
            }
            if (s1 > s2) {
                return minSum(nums2, nums1);
            }
            if (s1 == s2) {
                return s1;
            }
            return hasZero ? s2 : -1;
        }
    };
    
  • class Solution:
        def minSum(self, nums1: List[int], nums2: List[int]) -> int:
            s1 = sum(nums1) + nums1.count(0)
            s2 = sum(nums2) + nums2.count(0)
            if s1 > s2:
                return self.minSum(nums2, nums1)
            if s1 == s2:
                return s1
            return -1 if nums1.count(0) == 0 else s2
    
    
  • func minSum(nums1 []int, nums2 []int) int64 {
    	s1, s2 := 0, 0
    	hasZero := false
    	for _, x := range nums1 {
    		if x == 0 {
    			hasZero = true
    		}
    		s1 += max(x, 1)
    	}
    	for _, x := range nums2 {
    		s2 += max(x, 1)
    	}
    	if s1 > s2 {
    		return minSum(nums2, nums1)
    	}
    	if s1 == s2 {
    		return int64(s1)
    	}
    	if hasZero {
    		return int64(s2)
    	}
    	return -1
    }
    
  • function minSum(nums1: number[], nums2: number[]): number {
        let [s1, s2] = [0, 0];
        let hasZero = false;
        for (const x of nums1) {
            if (x === 0) {
                hasZero = true;
            }
            s1 += Math.max(x, 1);
        }
        for (const x of nums2) {
            s2 += Math.max(x, 1);
        }
        if (s1 > s2) {
            return minSum(nums2, nums1);
        }
        if (s1 === s2) {
            return s1;
        }
        return hasZero ? s2 : -1;
    }
    
    

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