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# Program to find maximum sum of two non-overlapping sublists in Python

Suppose we have a list of numbers called nums and two values x and y, we have to find the maximum sum of two non-overlapping sublists in nums which have lengths x and y.

So, if the input is like nums = [3, 2, 10, -2, 7, 6] x = 3 y = 1, then the output will be 22, as the sublist with length 3 we select [3, 2, 10] and for the other we select [7].

To solve this, we will follow these steps −

- P := a list with single element 0
- for each x in A, do
- insert (last element of P + x) at the end of P

- Define a function solve() . This will take len1, len2
- Q := a list with element (P[i + len1] - P[i]) for each i in range 0 to size of P - len1
- prefix := a copy of Q
- for i in range 0 to size of prefix - 1, do
- prefix[i + 1] := maximum of prefix[i + 1] and prefix[i]

- ans := -infinity
- for i in range len1 to size of P - len2, do
- left := prefix[i - len1]
- right := P[i + len2] - P[i]
- ans := maximum of ans and (left + right)

- return ans
- From the main method do the following −
- return maximum of solve(len1, len2) , solve(len2, len1)

Let us see the following implementation to get better understanding −

## Example

class Solution: def solve(self, A, len1, len2): P = [0] for x in A: P.append(P[-1] + x) def solve(len1, len2): Q = [P[i + len1] - P[i] for i in range(len(P) - len1)] prefix = Q[:] for i in range(len(prefix) - 1): prefix[i + 1] = max(prefix[i + 1], prefix[i]) ans = float("-inf") for i in range(len1, len(P) - len2): left = prefix[i - len1] right = P[i + len2] - P[i] ans = max(ans, left + right) return ans return max(solve(len1, len2), solve(len2, len1)) ob = Solution() nums = [3, 2, 10, -2, 7, 6] x = 3 y = 1 print(ob.solve(nums, x, y))

## Input

[3, 2, 10, -2, 7, 6], 3, 1

## Output

22

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