Solving Leetcode Interviews in Seconds with AI: Most Visited Sector in a Circular Track
Introduction
In this blog post, we will explore how to solve the LeetCode problem "1560" 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 integer n and an integer array rounds. We have a circular track which consists of n sectors labeled from 1 to n. A marathon will be held on this track, the marathon consists of m rounds. The ith round starts at sector rounds[i - 1] and ends at sector rounds[i]. For example, round 1 starts at sector rounds[0] and ends at sector rounds[1] Return an array of the most visited sectors sorted in ascending order. Notice that you circulate the track in ascending order of sector numbers in the counter-clockwise direction (See the first example). Example 1: Input: n = 4, rounds = [1,3,1,2] Output: [1,2] Explanation: The marathon starts at sector 1. The order of the visited sectors is as follows: 1 --> 2 --> 3 (end of round 1) --> 4 --> 1 (end of round 2) --> 2 (end of round 3 and the marathon) We can see that both sectors 1 and 2 are visited twice and they are the most visited sectors. Sectors 3 and 4 are visited only once. Example 2: Input: n = 2, rounds = [2,1,2,1,2,1,2,1,2] Output: [2] Example 3: Input: n = 7, rounds = [1,3,5,7] Output: [1,2,3,4,5,6,7] Constraints: 2 <= n <= 100 1 <= m <= 100 rounds.length == m + 1 1 <= rounds[i] <= n rounds[i] != rounds[i + 1] for 0 <= i < m
Explanation
Here's a breakdown of the optimal approach, complexity analysis, and the Python code:
High-Level Approach:
- Simulate the rounds, tracking the number of visits for each sector using a count array.
- Determine the maximum visit count.
- Collect all sectors with the maximum visit count and sort them in ascending order.
Complexity Analysis:
- Runtime Complexity: O(m + n), where m is the number of rounds and n is the number of sectors.
- Storage Complexity: O(n), for the count array.
Code
def mostVisited(n: int, rounds: list[int]) -> list[int]:
"""
Finds the most visited sectors in a circular track.
Args:
n: The number of sectors.
rounds: A list of sectors visited in each round.
Returns:
A list of the most visited sectors sorted in ascending order.
"""
counts = [0] * n
start = rounds[0] - 1 # Adjust to 0-based indexing
for i in range(1, len(rounds)):
end = rounds[i] - 1 # Adjust to 0-based indexing
if start <= end:
for j in range(start, end + 1):
counts[j] += 1
else:
for j in range(start, n):
counts[j] += 1
for j in range(0, end + 1):
counts[j] += 1
start = end
max_visits = 0
for count in counts:
max_visits = max(max_visits, count)
most_visited_sectors = []
for i in range(n):
if counts[i] == max_visits:
most_visited_sectors.append(i + 1) # Adjust back to 1-based indexing
return most_visited_sectors