An array is considered "fair" if the sum of elements at even indices is equal to the sum of elements at odd indices. In this problem, you are asked to find how many indices you can remove such that the resulting array becomes fair. When an element is removed, all elements to its right shift by one position, which effectively swaps their "even/odd" status.
This coding problem is common in interviews at companies like Microsoft and Twilio because it tests the optimization of prefix sums. A naive O(N^2) solution (removing each element and recalculating sums) is too slow. The challenge is to find an O(N) solution by pre-calculating information that allows you to determine the new sums in constant time for each removal.
The optimal approach utilizes Prefix Sums and Suffix Sums (or running sums). By maintaining the total sum of even and odd indices before and after a specific point, you can calculate the new totals instantly. Specifically, for an index i, the new even sum is (even sum before i) + (odd sum after i). Similarly, the new odd sum is (odd sum before i) + (even sum after i).
Array: [1, 2, 3].
[2, 3]. Even sum = 2, Odd sum = 3. Not fair.[1, 3]. Even sum = 1, Odd sum = 3. Not fair.[1, 2]. Even sum = 1, Odd sum = 2. Not fair.
Result: 0 fair arrays.
Array: [2, 1, 6, 4].[1, 6, 4]. Even (1+4=5), Odd (6). No.[2, 6, 4]. Even (2+4=6), Odd (6). Fair!
... and so on.When you encounter an array problem where removing or changing one element affects everything to its right, think about how prefix sums can "store" the state of the array. The pattern of "parity shift" (even becomes odd) is a very common interview trick.
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