Solving Leetcode Interviews in Seconds with AI: Find the Highest Altitude
Introduction
In this blog post, we will explore how to solve the LeetCode problem "1732" 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
There is a biker going on a road trip. The road trip consists of n + 1 points at different altitudes. The biker starts his trip on point 0 with altitude equal 0. You are given an integer array gain of length n where gain[i] is the net gain in altitude between points i and i + 1 for all (0 <= i < n). Return the highest altitude of a point. Example 1: Input: gain = [-5,1,5,0,-7] Output: 1 Explanation: The altitudes are [0,-5,-4,1,1,-6]. The highest is 1. Example 2: Input: gain = [-4,-3,-2,-1,4,3,2] Output: 0 Explanation: The altitudes are [0,-4,-7,-9,-10,-6,-3,-1]. The highest is 0. Constraints: n == gain.length 1 <= n <= 100 -100 <= gain[i] <= 100
Explanation
- Keep Track of Current Altitude: Iterate through the
gainarray, maintaining a running sum that represents the current altitude.- Track Maximum Altitude: Simultaneously, keep track of the highest altitude encountered so far.
- Update Max Altitude: In each iteration, update the maximum altitude if the current altitude is higher.
- Runtime Complexity: O(n), where n is the length of the
gainarray. Storage Complexity: O(1).
Code
def largestAltitude(gain: list[int]) -> int:
"""
Calculates the highest altitude reached during a biking trip.
Args:
gain: A list of integers representing the net gain in altitude between points.
Returns:
The highest altitude reached during the trip.
"""
max_altitude = 0
current_altitude = 0
for altitude_gain in gain:
current_altitude += altitude_gain
max_altitude = max(max_altitude, current_altitude)
return max_altitude