Solving Leetcode Interviews in Seconds with AI: Running Sum of 1d Array
Introduction
In this blog post, we will explore how to solve the LeetCode problem "1480" using AI. LeetCode is a popular platform for preparing for coding interviews, and with the help of AI tools like Chatmagic, we can generate solutions quickly and efficiently - helping you pass the interviews and get the job offer without having to study for months.
Problem Statement
Given an array nums. We define a running sum of an array as runningSum[i] = sum(nums[0]…nums[i]). Return the running sum of nums. Example 1: Input: nums = [1,2,3,4] Output: [1,3,6,10] Explanation: Running sum is obtained as follows: [1, 1+2, 1+2+3, 1+2+3+4]. Example 2: Input: nums = [1,1,1,1,1] Output: [1,2,3,4,5] Explanation: Running sum is obtained as follows: [1, 1+1, 1+1+1, 1+1+1+1, 1+1+1+1+1]. Example 3: Input: nums = [3,1,2,10,1] Output: [3,4,6,16,17] Constraints: 1 <= nums.length <= 1000 -10^6 <= nums[i] <= 10^6
Explanation
Here's the breakdown of the solution:
- In-place Calculation: The running sum is computed directly within the input array
numsto avoid using extra space for a new array (besides the output which is technically modifying the input). Iterative Accumulation: We iterate through the array, adding the current element to the previous running sum, thus updating the element in place.
Runtime and Space Complexity: O(n) runtime, O(1) storage (in-place modification).
Code
def runningSum(nums):
"""
Calculates the running sum of an array.
Args:
nums: A list of integers.
Returns:
A list of integers representing the running sum of nums.
"""
for i in range(1, len(nums)):
nums[i] += nums[i-1]
return nums