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Leetcode #985: Sum of Even Numbers After Queries

In this guide, we solve Leetcode #985 Sum of Even Numbers After Queries in Python and focus on the core idea that makes the solution efficient.

You will see the intuition, the step-by-step method, and a clean Python implementation you can use in interviews.

Leetcode

Problem Statement

You are given an integer array nums and an array queries where queries[i] = [vali, indexi]. For each query i, first, apply nums[indexi] = nums[indexi] + vali, then print the sum of the even values of nums.

Quick Facts

  • Difficulty: Medium
  • Premium: No
  • Tags: Array, Simulation

Intuition

The rules are explicit, so simulating the process step by step is safest.

Careful state updates prevent subtle bugs.

Approach

Translate the rules into state updates and apply them in order.

Track the final state or aggregate as required.

Steps:

  • Translate rules into state updates.
  • Iterate for each step.
  • Return the final state.

Example

Input: nums = [1,2,3,4], queries = [[1,0],[-3,1],[-4,0],[2,3]] Output: [8,6,2,4] Explanation: At the beginning, the array is [1,2,3,4]. After adding 1 to nums[0], the array is [2,2,3,4], and the sum of even values is 2 + 2 + 4 = 8. After adding -3 to nums[1], the array is [2,-1,3,4], and the sum of even values is 2 + 4 = 6. After adding -4 to nums[0], the array is [-2,-1,3,4], and the sum of even values is -2 + 4 = 2. After adding 2 to nums[3], the array is [-2,-1,3,6], and the sum of even values is -2 + 6 = 4.

Python Solution

class Solution: def sumEvenAfterQueries( self, nums: List[int], queries: List[List[int]] ) -> List[int]: s = sum(x for x in nums if x % 2 == 0) ans = [] for v, i in queries: if nums[i] % 2 == 0: s -= nums[i] nums[i] += v if nums[i] % 2 == 0: s += nums[i] ans.append(s) return ans

Complexity

The time complexity is O(n+m)O(n + m)O(n+m), where nnn and mmm are the lengths of the arrays nums\textit{nums}nums and queries\textit{queries}queries, respectively. The space complexity is O(1)O(1)O(1).

Edge Cases and Pitfalls

Watch for boundary values, empty inputs, and duplicate values where applicable. If the problem involves ordering or constraints, confirm the invariant is preserved at every step.

Summary

This Python solution focuses on the essential structure of the problem and keeps the implementation interview-friendly while meeting the constraints.


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