# 7. Equal Sum Arrays With Minimum Number of Operations

You are given two arrays of integers `nums1` and `nums2`, possibly of different lengths. The values in the arrays are between `1` and `6`, inclusive.

In one operation, you can change any integer's value in **any** of the arrays to **any** value between `1` and `6`, inclusive.

Return *the minimum number of operations required to make the sum of values in* `nums1` *equal to the sum of values in* `nums2`*.* Return `-1`​​​​​ if it is not possible to make the sum of the two arrays equal.

```
Example 1:
Input: nums1 = [1,2,3,4,5,6], nums2 = [1,1,2,2,2,2]
Output: 3
Explanation: You can make the sums of nums1 and nums2 equal with 3 operations. All indices are 0-indexed.
- Change nums2[0] to 6. nums1 = [1,2,3,4,5,6], nums2 = [6,1,2,2,2,2].
- Change nums1[5] to 1. nums1 = [1,2,3,4,5,1], nums2 = [6,1,2,2,2,2].
- Change nums1[2] to 2. nums1 = [1,2,2,4,5,1], nums2 = [6,1,2,2,2,2].

Example 2:
Input: nums1 = [1,1,1,1,1,1,1], nums2 = [6]
Output: -1
Explanation: There is no way to decrease the sum of nums1 or to increase the sum of nums2 to make them equal.
Example 3:
Input: nums1 = [6,6], nums2 = [1]

Output: 3
Explanation: You can make the sums of nums1 and nums2 equal with 3 operations. All indices are 0-indexed. 
- Change nums1[0] to 2. nums1 = [2,6], nums2 = [1].
- Change nums1[1] to 2. nums1 = [2,2], nums2 = [1].
- Change nums2[0] to 4. nums1 = [2,2], nums2 = [4].
```

## Solution: (Greedy)

**1.In order to make the two sum's equal, we need either to increase to `6` the numbers in the smaller sum array or decrease to `1` the numbers in the bigger sum array**

**2. Since we want to complete the task with minimum operations, it is optimal to choose the greater between the increase and decrease. Hence this is a greedy algorithm.**

**Note:**\
**If all numbers in an array increasing to `6` still ends up with a sum less than the sum of the other array with all numbers decreasing to `1`'s, then it is impossible to make their sums equal.**

```cpp
class Solution
{
public:
    int minOperations(vector<int> &nums1, vector<int> &nums2)
    {

        sort(nums1.begin(), nums1.end(), greater<int>());
        sort(nums2.begin(), nums2.end());

        int s1 = 0, s2 = 0;
        for (int i = 0; i < nums1.size(); i++)
        {
            s1 += nums1[i];
        }

        for (int i = 0; i < nums2.size(); i++)
        {
            s2 += nums2[i];
        }

        if (s2 > s1)
        {
            return minOperations(nums2, nums1);
        }

        if (nums1.size() > 6 * nums2.size())
        {
            return -1;
        }

        int i = 0;
        int j = 0;
        int ops = 0;

        while (s1 > s2)
        {

            if (i < nums1.size() && j < nums2.size())
            {
                int d1 = nums1[i] - 1;
                int d2 = 6 - nums2[j];

                if (d1 > d2)
                {
                    s1 = s1 - d1;
                    i++;
                }
                else
                {
                    s2 = s2 + d2;
                    j++;
                }

                ops++;
            }
            else
            {
                break;
            }
        }

        while (s1 > s2)
        {
            if (i < nums1.size())
            {
                s1 = s1 - (nums1[i] - 1);
                i++;
                ops++;
            }
        }

        while (s1 > s2)
        {
            if (j < nums2.size())
            {
                s2 = s2 + (6 - nums2[j]);
                j++;
                ops++;
            }
        }
        return ops;
    }
};
```

**Time Complexity: O max(n + m)**


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